Table of Contents
A low-level client representing Amazon DynamoDB:
import boto3
client = boto3.client('dynamodb')
These are the available methods:
The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.
A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys . You can use this value to retry the operation starting with the next item to get.
Warning
If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".
For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.
If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException . If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys .
Warning
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm . If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide .
By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.
In order to minimize response latency, BatchGetItem retrieves items in parallel.
When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the ProjectionExpression parameter.
If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide .
See also: AWS API Documentation
Request Syntax
response = client.batch_get_item(
RequestItems={
'string': {
'Keys': [
{
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
],
'AttributesToGet': [
'string',
],
'ConsistentRead': True|False,
'ProjectionExpression': 'string',
'ExpressionAttributeNames': {
'string': 'string'
}
}
},
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE'
)
[REQUIRED]
A map of one or more table names and, for each table, a map that describes one or more items to retrieve from that table. Each table name can be used only once per BatchGetItem request.
Each element in the map of items to retrieve consists of the following:
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
- Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
- {"#P":"Percentile"}
You could then use this substitution in an expression, as in this example:
- #P = :val
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
Represents a set of primary keys and, for each key, the attributes to retrieve from the table.
For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key. For a composite primary key, you must provide both the partition key and the sort key.
The primary key attribute values that define the items and the attributes associated with the items.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
This is a legacy parameter. Use ProjectionExpression instead. For more information, see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
The consistency of a read operation. If set to true , then a strongly consistent read is used; otherwise, an eventually consistent read is used.
A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the ProjectionExpression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
dict
Response Syntax
{
'Responses': {
'string': [
{
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
]
},
'UnprocessedKeys': {
'string': {
'Keys': [
{
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
],
'AttributesToGet': [
'string',
],
'ConsistentRead': True|False,
'ProjectionExpression': 'string',
'ExpressionAttributeNames': {
'string': 'string'
}
}
},
'ConsumedCapacity': [
{
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
]
}
Response Structure
(dict) --
Represents the output of a BatchGetItem operation.
Responses (dict) --
A map of table name to a list of items. Each object in Responses consists of a table name, along with a map of attribute data consisting of the data type and attribute value.
(string) --
(list) --
(dict) --
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
UnprocessedKeys (dict) --
A map of tables and their respective keys that were not processed with the current response. The UnprocessedKeys value is in the same form as RequestItems , so the value can be provided directly to a subsequent BatchGetItem operation. For more information, see RequestItems in the Request Parameters section.
Each element consists of:
If there are no unprocessed keys remaining, the response contains an empty UnprocessedKeys map.
(string) --
(dict) --
Represents a set of primary keys and, for each key, the attributes to retrieve from the table.
For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key. For a composite primary key, you must provide both the partition key and the sort key.
Keys (list) --
The primary key attribute values that define the items and the attributes associated with the items.
(dict) --
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
AttributesToGet (list) --
This is a legacy parameter. Use ProjectionExpression instead. For more information, see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
ConsistentRead (boolean) --
The consistency of a read operation. If set to true , then a strongly consistent read is used; otherwise, an eventually consistent read is used.
ProjectionExpression (string) --
A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the ProjectionExpression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
ExpressionAttributeNames (dict) --
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
ConsumedCapacity (list) --
The read capacity units consumed by the entire BatchGetItem operation.
Each element consists of:
(dict) --
The capacity units consumed by an operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the request asked for it. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
Examples
This example reads multiple items from the Music table using a batch of three GetItem requests. Only the AlbumTitle attribute is returned.
response = client.batch_get_item(
RequestItems={
'Music': {
'Keys': [
{
'Artist': {
'S': 'No One You Know',
},
'SongTitle': {
'S': 'Call Me Today',
},
},
{
'Artist': {
'S': 'Acme Band',
},
'SongTitle': {
'S': 'Happy Day',
},
},
{
'Artist': {
'S': 'No One You Know',
},
'SongTitle': {
'S': 'Scared of My Shadow',
},
},
],
'ProjectionExpression': 'AlbumTitle',
},
},
)
print(response)
Expected Output:
{
'Responses': {
'Music': [
{
'AlbumTitle': {
'S': 'Somewhat Famous',
},
},
{
'AlbumTitle': {
'S': 'Blue Sky Blues',
},
},
{
'AlbumTitle': {
'S': 'Louder Than Ever',
},
},
],
},
'ResponseMetadata': {
'...': '...',
},
}
The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can write up to 16 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 400 KB.
Note
BatchWriteItem cannot update items. To update items, use the UpdateItem action.
The individual PutItem and DeleteItem operations specified in BatchWriteItem are atomic; however BatchWriteItem as a whole is not. If any requested operations fail because the table's provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in the UnprocessedItems response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem request with those unprocessed items until all items have been processed.
Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem will return a ProvisionedThroughputExceededException .
Warning
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm . If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide .
With BatchWriteItem , you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations, BatchWriteItem does not behave in the same way as individual PutItem and DeleteItem calls would. For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem does not return deleted items in the response.
If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don't support threading, you must update or delete the specified items one at a time. In both situations, BatchWriteItem performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.
Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.
If one or more of the following is true, DynamoDB rejects the entire batch write operation:
See also: AWS API Documentation
Request Syntax
response = client.batch_write_item(
RequestItems={
'string': [
{
'PutRequest': {
'Item': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
}
},
'DeleteRequest': {
'Key': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
}
}
},
]
},
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ReturnItemCollectionMetrics='SIZE'|'NONE'
)
[REQUIRED]
A map of one or more table names and, for each table, a list of operations to be performed (DeleteRequest or PutRequest ). Each element in the map consists of the following:
Represents an operation to perform - either DeleteItem or PutItem . You can only request one of these operations, not both, in a single WriteRequest . If you do need to perform both of these operations, you will need to provide two separate WriteRequest objects.
A request to perform a PutItem operation.
A map of attribute name to attribute values, representing the primary key of an item to be processed by PutItem . All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema. If any attributes are present in the item which are part of an index key schema for the table, their types must match the index key schema.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A request to perform a DeleteItem operation.
A map of attribute name to attribute values, representing the primary key of the item to delete. All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Determines the level of detail about provisioned throughput consumption that is returned in the response:
dict
Response Syntax
{
'UnprocessedItems': {
'string': [
{
'PutRequest': {
'Item': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
}
},
'DeleteRequest': {
'Key': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
}
}
},
]
},
'ItemCollectionMetrics': {
'string': [
{
'ItemCollectionKey': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'SizeEstimateRangeGB': [
123.0,
]
},
]
},
'ConsumedCapacity': [
{
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
]
}
Response Structure
(dict) --
Represents the output of a BatchWriteItem operation.
UnprocessedItems (dict) --
A map of tables and requests against those tables that were not processed. The UnprocessedItems value is in the same form as RequestItems , so you can provide this value directly to a subsequent BatchGetItem operation. For more information, see RequestItems in the Request Parameters section.
Each UnprocessedItems entry consists of a table name and, for that table, a list of operations to perform (DeleteRequest or PutRequest ).
If there are no unprocessed items remaining, the response contains an empty UnprocessedItems map.
(string) --
(list) --
(dict) --
Represents an operation to perform - either DeleteItem or PutItem . You can only request one of these operations, not both, in a single WriteRequest . If you do need to perform both of these operations, you will need to provide two separate WriteRequest objects.
PutRequest (dict) --
A request to perform a PutItem operation.
Item (dict) --
A map of attribute name to attribute values, representing the primary key of an item to be processed by PutItem . All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema. If any attributes are present in the item which are part of an index key schema for the table, their types must match the index key schema.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
DeleteRequest (dict) --
A request to perform a DeleteItem operation.
Key (dict) --
A map of attribute name to attribute values, representing the primary key of the item to delete. All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
ItemCollectionMetrics (dict) --
A list of tables that were processed by BatchWriteItem and, for each table, information about any item collections that were affected by individual DeleteItem or PutItem operations.
Each entry consists of the following subelements:
(string) --
(list) --
(dict) --
Information about item collections, if any, that were affected by the operation. ItemCollectionMetrics is only returned if the request asked for it. If the table does not have any local secondary indexes, this information is not returned in the response.
ItemCollectionKey (dict) --
The partition key value of the item collection. This value is the same as the partition key value of the item.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
SizeEstimateRangeGB (list) --
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
ConsumedCapacity (list) --
The capacity units consumed by the entire BatchWriteItem operation.
Each element consists of:
(dict) --
The capacity units consumed by an operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the request asked for it. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
Examples
This example adds three new items to the Music table using a batch of three PutItem requests.
response = client.batch_write_item(
RequestItems={
'Music': [
{
'PutRequest': {
'Item': {
'AlbumTitle': {
'S': 'Somewhat Famous',
},
'Artist': {
'S': 'No One You Know',
},
'SongTitle': {
'S': 'Call Me Today',
},
},
},
},
{
'PutRequest': {
'Item': {
'AlbumTitle': {
'S': 'Songs About Life',
},
'Artist': {
'S': 'Acme Band',
},
'SongTitle': {
'S': 'Happy Day',
},
},
},
},
{
'PutRequest': {
'Item': {
'AlbumTitle': {
'S': 'Blue Sky Blues',
},
'Artist': {
'S': 'No One You Know',
},
'SongTitle': {
'S': 'Scared of My Shadow',
},
},
},
},
],
},
)
print(response)
Expected Output:
{
'ResponseMetadata': {
'...': '...',
},
}
Check if an operation can be paginated.
Creates a backup for an existing table.
Each time you create an On-Demand Backup, the entire table data is backed up. There is no limit to the number of on-demand backups that can be taken.
When you create an On-Demand Backup, a time marker of the request is cataloged, and the backup is created asynchronously, by applying all changes until the time of the request to the last full table snapshot. Backup requests are processed instantaneously and become available for restore within minutes.
You can call CreateBackup at a maximum rate of 50 times per second.
All backups in DynamoDB work without consuming any provisioned throughput on the table.
If you submit a backup request on 2018-12-14 at 14:25:00, the backup is guaranteed to contain all data committed to the table up to 14:24:00, and data committed after 14:26:00 will not be. The backup may or may not contain data modifications made between 14:24:00 and 14:26:00. On-Demand Backup does not support causal consistency.
Along with data, the following are also included on the backups:
See also: AWS API Documentation
Request Syntax
response = client.create_backup(
TableName='string',
BackupName='string'
)
[REQUIRED]
The name of the table.
[REQUIRED]
Specified name for the backup.
dict
Response Syntax
{
'BackupDetails': {
'BackupArn': 'string',
'BackupName': 'string',
'BackupSizeBytes': 123,
'BackupStatus': 'CREATING'|'DELETED'|'AVAILABLE',
'BackupType': 'USER'|'SYSTEM'|'AWS_BACKUP',
'BackupCreationDateTime': datetime(2015, 1, 1),
'BackupExpiryDateTime': datetime(2015, 1, 1)
}
}
Response Structure
(dict) --
BackupDetails (dict) --
Contains the details of the backup created for the table.
BackupArn (string) --
ARN associated with the backup.
BackupName (string) --
Name of the requested backup.
BackupSizeBytes (integer) --
Size of the backup in bytes.
BackupStatus (string) --
Backup can be in one of the following states: CREATING, ACTIVE, DELETED.
BackupType (string) --
BackupType:
BackupCreationDateTime (datetime) --
Time at which the backup was created. This is the request time of the backup.
BackupExpiryDateTime (datetime) --
Time at which the automatic on-demand backup created by DynamoDB will expire. This SYSTEM on-demand backup expires automatically 35 days after its creation.
Creates a global table from an existing table. A global table creates a replication relationship between two or more DynamoDB tables with the same table name in the provided regions.
If you want to add a new replica table to a global table, each of the following conditions must be true:
If global secondary indexes are specified, then the following conditions must also be met:
Warning
Write capacity settings should be set consistently across your replica tables and secondary indexes. DynamoDB strongly recommends enabling auto scaling to manage the write capacity settings for all of your global tables replicas and indexes.
If you prefer to manage write capacity settings manually, you should provision equal replicated write capacity units to your replica tables. You should also provision equal replicated write capacity units to matching secondary indexes across your global table.
See also: AWS API Documentation
Request Syntax
response = client.create_global_table(
GlobalTableName='string',
ReplicationGroup=[
{
'RegionName': 'string'
},
]
)
[REQUIRED]
The global table name.
[REQUIRED]
The regions where the global table needs to be created.
Represents the properties of a replica.
The region where the replica needs to be created.
dict
Response Syntax
{
'GlobalTableDescription': {
'ReplicationGroup': [
{
'RegionName': 'string'
},
],
'GlobalTableArn': 'string',
'CreationDateTime': datetime(2015, 1, 1),
'GlobalTableStatus': 'CREATING'|'ACTIVE'|'DELETING'|'UPDATING',
'GlobalTableName': 'string'
}
}
Response Structure
(dict) --
GlobalTableDescription (dict) --
Contains the details of the global table.
ReplicationGroup (list) --
The regions where the global table has replicas.
(dict) --
Contains the details of the replica.
RegionName (string) --
The name of the region.
GlobalTableArn (string) --
The unique identifier of the global table.
CreationDateTime (datetime) --
The creation time of the global table.
GlobalTableStatus (string) --
The current state of the global table:
GlobalTableName (string) --
The global table name.
The CreateTable operation adds a new table to your account. In an AWS account, table names must be unique within each region. That is, you can have two tables with same name if you create the tables in different regions.
CreateTable is an asynchronous operation. Upon receiving a CreateTable request, DynamoDB immediately returns a response with a TableStatus of CREATING . After the table is created, DynamoDB sets the TableStatus to ACTIVE . You can perform read and write operations only on an ACTIVE table.
You can optionally define secondary indexes on the new table, as part of the CreateTable operation. If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially. Only one table with secondary indexes can be in the CREATING state at any given time.
You can use the DescribeTable action to check the table status.
See also: AWS API Documentation
Request Syntax
response = client.create_table(
AttributeDefinitions=[
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
TableName='string',
KeySchema=[
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
LocalSecondaryIndexes=[
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
}
},
],
GlobalSecondaryIndexes=[
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
}
},
],
BillingMode='PROVISIONED'|'PAY_PER_REQUEST',
ProvisionedThroughput={
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
StreamSpecification={
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
SSESpecification={
'Enabled': True|False,
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyId': 'string'
}
)
[REQUIRED]
An array of attributes that describe the key schema for the table and indexes.
Represents an attribute for describing the key schema for the table and indexes.
A name for the attribute.
The data type for the attribute, where:
[REQUIRED]
The name of the table to create.
[REQUIRED]
Specifies the attributes that make up the primary key for a table or an index. The attributes in KeySchema must also be defined in the AttributeDefinitions array. For more information, see Data Model in the Amazon DynamoDB Developer Guide .
Each KeySchemaElement in the array is composed of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For a simple primary key (partition key), you must provide exactly one element with a KeyType of HASH .
For a composite primary key (partition key and sort key), you must provide exactly two elements, in this order: The first element must have a KeyType of HASH , and the second element must have a KeyType of RANGE .
For more information, see Specifying the Primary Key in the Amazon DynamoDB Developer Guide .
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
One or more local secondary indexes (the maximum is 5) to be created on the table. Each index is scoped to a given partition key value. There is a 10 GB size limit per partition key value; otherwise, the size of a local secondary index is unconstrained.
Each local secondary index in the array includes the following:
Represents the properties of a local secondary index.
The name of the local secondary index. The name must be unique among all other indexes on this table.
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the local secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
One or more global secondary indexes (the maximum is 20) to be created on the table. Each global secondary index in the array includes the following:
Represents the properties of a global secondary index.
The name of the global secondary index. The name must be unique among all other indexes on this table.
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
Represents the provisioned throughput settings for a specified table or index. The settings can be modified using the UpdateTable operation.
If you set BillingMode as PROVISIONED , you must specify this property. If you set BillingMode as PAY_PER_REQUEST , you cannot specify this property.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The settings for DynamoDB Streams on the table. These settings consist of:
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
Represents the settings used to enable server-side encryption.
Indicates whether server-side encryption is enabled (true) or disabled (false) on the table. If enabled (true), server-side encryption type is set to KMS . If disabled (false) or not specified, server-side encryption is set to AWS owned CMK.
Server-side encryption type:
The KMS Master Key (CMK) which should be used for the KMS encryption. To specify a CMK, use its key ID, Amazon Resource Name (ARN), alias name, or alias ARN. Note that you should only provide this parameter if the key is different from the default DynamoDB KMS Master Key alias/aws/dynamodb.
dict
Response Syntax
{
'TableDescription': {
'AttributeDefinitions': [
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
'TableName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'TableStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'CreationDateTime': datetime(2015, 1, 1),
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'TableSizeBytes': 123,
'ItemCount': 123,
'TableArn': 'string',
'TableId': 'string',
'BillingModeSummary': {
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST',
'LastUpdateToPayPerRequestDateTime': datetime(2015, 1, 1)
},
'LocalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'GlobalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'Backfilling': True|False,
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'StreamSpecification': {
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
'LatestStreamLabel': 'string',
'LatestStreamArn': 'string',
'RestoreSummary': {
'SourceBackupArn': 'string',
'SourceTableArn': 'string',
'RestoreDateTime': datetime(2015, 1, 1),
'RestoreInProgress': True|False
},
'SSEDescription': {
'Status': 'ENABLING'|'ENABLED'|'DISABLING'|'DISABLED'|'UPDATING',
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyArn': 'string'
}
}
}
Response Structure
(dict) --
Represents the output of a CreateTable operation.
TableDescription (dict) --
Represents the properties of the table.
AttributeDefinitions (list) --
An array of AttributeDefinition objects. Each of these objects describes one attribute in the table and index key schema.
Each AttributeDefinition object in this array is composed of:
(dict) --
Represents an attribute for describing the key schema for the table and indexes.
AttributeName (string) --
A name for the attribute.
AttributeType (string) --
The data type for the attribute, where:
TableName (string) --
The name of the table.
KeySchema (list) --
The primary key structure for the table. Each KeySchemaElement consists of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
TableStatus (string) --
The current state of the table:
CreationDateTime (datetime) --
The date and time when the table was created, in UNIX epoch time format.
ProvisionedThroughput (dict) --
The provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
TableSizeBytes (integer) --
The total size of the specified table, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified table. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
TableArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the table.
TableId (string) --
Unique identifier for the table for which the backup was created.
BillingModeSummary (dict) --
Contains the details for the read/write capacity mode.
BillingMode (string) --
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
LastUpdateToPayPerRequestDateTime (datetime) --
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
LocalSecondaryIndexes (list) --
Represents one or more local secondary indexes on the table. Each index is scoped to a given partition key value. Tables with one or more local secondary indexes are subject to an item collection size limit, where the amount of data within a given item collection cannot exceed 10 GB. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a local secondary index.
IndexName (string) --
Represents the name of the local secondary index.
KeySchema (list) --
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
GlobalSecondaryIndexes (list) --
The global secondary indexes, if any, on the table. Each index is scoped to a given partition key value. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a global secondary index.
IndexName (string) --
The name of the global secondary index.
KeySchema (list) --
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexStatus (string) --
The current state of the global secondary index:
Backfilling (boolean) --
Indicates whether the index is currently backfilling. Backfilling is the process of reading items from the table and determining whether they can be added to the index. (Not all items will qualify: For example, a partition key cannot have any duplicate values.) If an item can be added to the index, DynamoDB will do so. After all items have been processed, the backfilling operation is complete and Backfilling is false.
Note
For indexes that were created during a CreateTable operation, the Backfilling attribute does not appear in the DescribeTable output.
ProvisionedThroughput (dict) --
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
StreamSpecification (dict) --
The current DynamoDB Streams configuration for the table.
StreamEnabled (boolean) --
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
StreamViewType (string) --
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
LatestStreamLabel (string) --
A timestamp, in ISO 8601 format, for this stream.
Note that LatestStreamLabel is not a unique identifier for the stream, because it is possible that a stream from another table might have the same timestamp. However, the combination of the following three elements is guaranteed to be unique:
LatestStreamArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the latest stream for this table.
RestoreSummary (dict) --
Contains details for the restore.
SourceBackupArn (string) --
ARN of the backup from which the table was restored.
SourceTableArn (string) --
ARN of the source table of the backup that is being restored.
RestoreDateTime (datetime) --
Point in time or source backup time.
RestoreInProgress (boolean) --
Indicates if a restore is in progress or not.
SSEDescription (dict) --
The description of the server-side encryption status on the specified table.
Status (string) --
The current state of server-side encryption:
SSEType (string) --
Server-side encryption type:
KMSMasterKeyArn (string) --
The KMS master key ARN used for the KMS encryption.
Examples
This example creates a table named Music.
response = client.create_table(
AttributeDefinitions=[
{
'AttributeName': 'Artist',
'AttributeType': 'S',
},
{
'AttributeName': 'SongTitle',
'AttributeType': 'S',
},
],
KeySchema=[
{
'AttributeName': 'Artist',
'KeyType': 'HASH',
},
{
'AttributeName': 'SongTitle',
'KeyType': 'RANGE',
},
],
ProvisionedThroughput={
'ReadCapacityUnits': 5,
'WriteCapacityUnits': 5,
},
TableName='Music',
)
print(response)
Expected Output:
{
'TableDescription': {
'AttributeDefinitions': [
{
'AttributeName': 'Artist',
'AttributeType': 'S',
},
{
'AttributeName': 'SongTitle',
'AttributeType': 'S',
},
],
'CreationDateTime': datetime(2015, 1, 21, 19, 2, 32, 2, 21, 0),
'ItemCount': 0,
'KeySchema': [
{
'AttributeName': 'Artist',
'KeyType': 'HASH',
},
{
'AttributeName': 'SongTitle',
'KeyType': 'RANGE',
},
],
'ProvisionedThroughput': {
'ReadCapacityUnits': 5,
'WriteCapacityUnits': 5,
},
'TableName': 'Music',
'TableSizeBytes': 0,
'TableStatus': 'CREATING',
},
'ResponseMetadata': {
'...': '...',
},
}
Deletes an existing backup of a table.
You can call DeleteBackup at a maximum rate of 10 times per second.
See also: AWS API Documentation
Request Syntax
response = client.delete_backup(
BackupArn='string'
)
[REQUIRED]
The ARN associated with the backup.
{
'BackupDescription': {
'BackupDetails': {
'BackupArn': 'string',
'BackupName': 'string',
'BackupSizeBytes': 123,
'BackupStatus': 'CREATING'|'DELETED'|'AVAILABLE',
'BackupType': 'USER'|'SYSTEM'|'AWS_BACKUP',
'BackupCreationDateTime': datetime(2015, 1, 1),
'BackupExpiryDateTime': datetime(2015, 1, 1)
},
'SourceTableDetails': {
'TableName': 'string',
'TableId': 'string',
'TableArn': 'string',
'TableSizeBytes': 123,
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'TableCreationDateTime': datetime(2015, 1, 1),
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'ItemCount': 123,
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST'
},
'SourceTableFeatureDetails': {
'LocalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
}
},
],
'GlobalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
}
},
],
'StreamDescription': {
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
'TimeToLiveDescription': {
'TimeToLiveStatus': 'ENABLING'|'DISABLING'|'ENABLED'|'DISABLED',
'AttributeName': 'string'
},
'SSEDescription': {
'Status': 'ENABLING'|'ENABLED'|'DISABLING'|'DISABLED'|'UPDATING',
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyArn': 'string'
}
}
}
}
Response Structure
Contains the description of the backup created for the table.
Contains the details of the backup created for the table.
ARN associated with the backup.
Name of the requested backup.
Size of the backup in bytes.
Backup can be in one of the following states: CREATING, ACTIVE, DELETED.
BackupType:
Time at which the backup was created. This is the request time of the backup.
Time at which the automatic on-demand backup created by DynamoDB will expire. This SYSTEM on-demand backup expires automatically 35 days after its creation.
Contains the details of the table when the backup was created.
The name of the table for which the backup was created.
Unique identifier for the table for which the backup was created.
ARN of the table for which backup was created.
Size of the table in bytes. Please note this is an approximate value.
Schema of the table.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Time when the source table was created.
Read IOPs and Write IOPS on the table when the backup was created.
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
Number of items in the table. Please note this is an approximate value.
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
Contains the details of the features enabled on the table when the backup was created. For example, LSIs, GSIs, streams, TTL.
Represents the LSI properties for the table when the backup was created. It includes the IndexName, KeySchema and Projection for the LSIs on the table at the time of backup.
Represents the properties of a local secondary index for the table when the backup was created.
Represents the name of the local secondary index.
The complete key schema for a local secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
Represents the GSI properties for the table when the backup was created. It includes the IndexName, KeySchema, Projection and ProvisionedThroughput for the GSIs on the table at the time of backup.
Represents the properties of a global secondary index for the table when the backup was created.
The name of the global secondary index.
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
Represents the provisioned throughput settings for the specified global secondary index.
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
Stream settings on the table when the backup was created.
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
Time to Live settings on the table when the backup was created.
The Time to Live status for the table.
The name of the Time to Live attribute for items in the table.
The description of the server-side encryption status on the table when the backup was created.
The current state of server-side encryption:
Server-side encryption type:
The KMS master key ARN used for the KMS encryption.
Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.
In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.
Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.
Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.
See also: AWS API Documentation
Request Syntax
response = client.delete_item(
TableName='string',
Key={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
Expected={
'string': {
'Value': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
'Exists': True|False,
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH',
'AttributeValueList': [
{
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
]
}
},
ConditionalOperator='AND'|'OR',
ReturnValues='NONE'|'ALL_OLD'|'UPDATED_OLD'|'ALL_NEW'|'UPDATED_NEW',
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ReturnItemCollectionMetrics='SIZE'|'NONE',
ConditionExpression='string',
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
}
)
[REQUIRED]
The name of the table from which to delete the item.
[REQUIRED]
A map of attribute names to AttributeValue objects, representing the primary key of the item to delete.
For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide .
Represents a condition to be compared with an attribute value. This condition can be used with DeleteItem , PutItem or UpdateItem operations; if the comparison evaluates to true, the operation succeeds; if not, the operation fails. You can use ExpectedAttributeValue in one of two different ways:
Value and Exists are incompatible with AttributeValueList and ComparisonOperator . Note that if you use both sets of parameters at once, DynamoDB will return a ValidationException exception.
Represents the data for the expected attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Causes DynamoDB to evaluate the value before attempting a conditional operation:
The default setting for Exists is true . If you supply a Value all by itself, DynamoDB assumes the attribute exists: You don't have to set Exists to true , because it is implied.
DynamoDB returns a ValidationException if:
A comparator for evaluating attributes in the AttributeValueList . For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Use ReturnValues if you want to get the item attributes as they appeared before they were deleted. For DeleteItem , the valid values are:
Note
The ReturnValues parameter is used by several DynamoDB operations; however, DeleteItem does not recognize any values other than NONE or ALL_OLD .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
A condition that must be satisfied in order for a conditional DeleteItem to succeed.
An expression can contain any of the following:
For more information on condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
dict
Response Syntax
{
'Attributes': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
'ItemCollectionMetrics': {
'ItemCollectionKey': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'SizeEstimateRangeGB': [
123.0,
]
}
}
Response Structure
(dict) --
Represents the output of a DeleteItem operation.
Attributes (dict) --
A map of attribute names to AttributeValue objects, representing the item as it appeared before the DeleteItem operation. This map appears in the response only if ReturnValues was specified as ALL_OLD in the request.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
ConsumedCapacity (dict) --
The capacity units consumed by the DeleteItem operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
ItemCollectionMetrics (dict) --
Information about item collections, if any, that were affected by the DeleteItem operation. ItemCollectionMetrics is only returned if the ReturnItemCollectionMetrics parameter was specified. If the table does not have any local secondary indexes, this information is not returned in the response.
Each ItemCollectionMetrics element consists of:
ItemCollectionKey (dict) --
The partition key value of the item collection. This value is the same as the partition key value of the item.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
SizeEstimateRangeGB (list) --
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
Examples
This example deletes an item from the Music table.
response = client.delete_item(
Key={
'Artist': {
'S': 'No One You Know',
},
'SongTitle': {
'S': 'Scared of My Shadow',
},
},
TableName='Music',
)
print(response)
Expected Output:
{
'ConsumedCapacity': {
'CapacityUnits': 1,
'TableName': 'Music',
},
'ResponseMetadata': {
'...': '...',
},
}
The DeleteTable operation deletes a table and all of its items. After a DeleteTable request, the specified table is in the DELETING state until DynamoDB completes the deletion. If the table is in the ACTIVE state, you can delete it. If a table is in CREATING or UPDATING states, then DynamoDB returns a ResourceInUseException . If the specified table does not exist, DynamoDB returns a ResourceNotFoundException . If table is already in the DELETING state, no error is returned.
Note
DynamoDB might continue to accept data read and write operations, such as GetItem and PutItem , on a table in the DELETING state until the table deletion is complete.
When you delete a table, any indexes on that table are also deleted.
If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the DISABLED state, and the stream is automatically deleted after 24 hours.
Use the DescribeTable action to check the status of the table.
See also: AWS API Documentation
Request Syntax
response = client.delete_table(
TableName='string'
)
[REQUIRED]
The name of the table to delete.
{
'TableDescription': {
'AttributeDefinitions': [
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
'TableName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'TableStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'CreationDateTime': datetime(2015, 1, 1),
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'TableSizeBytes': 123,
'ItemCount': 123,
'TableArn': 'string',
'TableId': 'string',
'BillingModeSummary': {
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST',
'LastUpdateToPayPerRequestDateTime': datetime(2015, 1, 1)
},
'LocalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'GlobalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'Backfilling': True|False,
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'StreamSpecification': {
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
'LatestStreamLabel': 'string',
'LatestStreamArn': 'string',
'RestoreSummary': {
'SourceBackupArn': 'string',
'SourceTableArn': 'string',
'RestoreDateTime': datetime(2015, 1, 1),
'RestoreInProgress': True|False
},
'SSEDescription': {
'Status': 'ENABLING'|'ENABLED'|'DISABLING'|'DISABLED'|'UPDATING',
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyArn': 'string'
}
}
}
Response Structure
Represents the output of a DeleteTable operation.
Represents the properties of a table.
An array of AttributeDefinition objects. Each of these objects describes one attribute in the table and index key schema.
Each AttributeDefinition object in this array is composed of:
Represents an attribute for describing the key schema for the table and indexes.
A name for the attribute.
The data type for the attribute, where:
The name of the table.
The primary key structure for the table. Each KeySchemaElement consists of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
The current state of the table:
The date and time when the table was created, in UNIX epoch time format.
The provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
The date and time of the last provisioned throughput increase for this table.
The date and time of the last provisioned throughput decrease for this table.
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
The total size of the specified table, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The number of items in the specified table. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The Amazon Resource Name (ARN) that uniquely identifies the table.
Unique identifier for the table for which the backup was created.
Contains the details for the read/write capacity mode.
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
Represents one or more local secondary indexes on the table. Each index is scoped to a given partition key value. Tables with one or more local secondary indexes are subject to an item collection size limit, where the amount of data within a given item collection cannot exceed 10 GB. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
Represents the properties of a local secondary index.
Represents the name of the local secondary index.
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The Amazon Resource Name (ARN) that uniquely identifies the index.
The global secondary indexes, if any, on the table. Each index is scoped to a given partition key value. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
Represents the properties of a global secondary index.
The name of the global secondary index.
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
The current state of the global secondary index:
Indicates whether the index is currently backfilling. Backfilling is the process of reading items from the table and determining whether they can be added to the index. (Not all items will qualify: For example, a partition key cannot have any duplicate values.) If an item can be added to the index, DynamoDB will do so. After all items have been processed, the backfilling operation is complete and Backfilling is false.
Note
For indexes that were created during a CreateTable operation, the Backfilling attribute does not appear in the DescribeTable output.
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The date and time of the last provisioned throughput increase for this table.
The date and time of the last provisioned throughput decrease for this table.
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The Amazon Resource Name (ARN) that uniquely identifies the index.
The current DynamoDB Streams configuration for the table.
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
A timestamp, in ISO 8601 format, for this stream.
Note that LatestStreamLabel is not a unique identifier for the stream, because it is possible that a stream from another table might have the same timestamp. However, the combination of the following three elements is guaranteed to be unique:
The Amazon Resource Name (ARN) that uniquely identifies the latest stream for this table.
Contains details for the restore.
ARN of the backup from which the table was restored.
ARN of the source table of the backup that is being restored.
Point in time or source backup time.
Indicates if a restore is in progress or not.
The description of the server-side encryption status on the specified table.
The current state of server-side encryption:
Server-side encryption type:
The KMS master key ARN used for the KMS encryption.
Examples
This example deletes the Music table.
response = client.delete_table(
TableName='Music',
)
print(response)
Expected Output:
{
'TableDescription': {
'ItemCount': 0,
'ProvisionedThroughput': {
'NumberOfDecreasesToday': 1,
'ReadCapacityUnits': 5,
'WriteCapacityUnits': 5,
},
'TableName': 'Music',
'TableSizeBytes': 0,
'TableStatus': 'DELETING',
},
'ResponseMetadata': {
'...': '...',
},
}
Describes an existing backup of a table.
You can call DescribeBackup at a maximum rate of 10 times per second.
See also: AWS API Documentation
Request Syntax
response = client.describe_backup(
BackupArn='string'
)
[REQUIRED]
The ARN associated with the backup.
{
'BackupDescription': {
'BackupDetails': {
'BackupArn': 'string',
'BackupName': 'string',
'BackupSizeBytes': 123,
'BackupStatus': 'CREATING'|'DELETED'|'AVAILABLE',
'BackupType': 'USER'|'SYSTEM'|'AWS_BACKUP',
'BackupCreationDateTime': datetime(2015, 1, 1),
'BackupExpiryDateTime': datetime(2015, 1, 1)
},
'SourceTableDetails': {
'TableName': 'string',
'TableId': 'string',
'TableArn': 'string',
'TableSizeBytes': 123,
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'TableCreationDateTime': datetime(2015, 1, 1),
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'ItemCount': 123,
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST'
},
'SourceTableFeatureDetails': {
'LocalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
}
},
],
'GlobalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
}
},
],
'StreamDescription': {
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
'TimeToLiveDescription': {
'TimeToLiveStatus': 'ENABLING'|'DISABLING'|'ENABLED'|'DISABLED',
'AttributeName': 'string'
},
'SSEDescription': {
'Status': 'ENABLING'|'ENABLED'|'DISABLING'|'DISABLED'|'UPDATING',
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyArn': 'string'
}
}
}
}
Response Structure
Contains the description of the backup created for the table.
Contains the details of the backup created for the table.
ARN associated with the backup.
Name of the requested backup.
Size of the backup in bytes.
Backup can be in one of the following states: CREATING, ACTIVE, DELETED.
BackupType:
Time at which the backup was created. This is the request time of the backup.
Time at which the automatic on-demand backup created by DynamoDB will expire. This SYSTEM on-demand backup expires automatically 35 days after its creation.
Contains the details of the table when the backup was created.
The name of the table for which the backup was created.
Unique identifier for the table for which the backup was created.
ARN of the table for which backup was created.
Size of the table in bytes. Please note this is an approximate value.
Schema of the table.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Time when the source table was created.
Read IOPs and Write IOPS on the table when the backup was created.
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
Number of items in the table. Please note this is an approximate value.
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
Contains the details of the features enabled on the table when the backup was created. For example, LSIs, GSIs, streams, TTL.
Represents the LSI properties for the table when the backup was created. It includes the IndexName, KeySchema and Projection for the LSIs on the table at the time of backup.
Represents the properties of a local secondary index for the table when the backup was created.
Represents the name of the local secondary index.
The complete key schema for a local secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
Represents the GSI properties for the table when the backup was created. It includes the IndexName, KeySchema, Projection and ProvisionedThroughput for the GSIs on the table at the time of backup.
Represents the properties of a global secondary index for the table when the backup was created.
The name of the global secondary index.
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
Represents the provisioned throughput settings for the specified global secondary index.
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
Stream settings on the table when the backup was created.
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
Time to Live settings on the table when the backup was created.
The Time to Live status for the table.
The name of the Time to Live attribute for items in the table.
The description of the server-side encryption status on the table when the backup was created.
The current state of server-side encryption:
Server-side encryption type:
The KMS master key ARN used for the KMS encryption.
Checks the status of continuous backups and point in time recovery on the specified table. Continuous backups are ENABLED on all tables at table creation. If point in time recovery is enabled, PointInTimeRecoveryStatus will be set to ENABLED.
Once continuous backups and point in time recovery are enabled, you can restore to any point in time within EarliestRestorableDateTime and LatestRestorableDateTime .
LatestRestorableDateTime is typically 5 minutes before the current time. You can restore your table to any point in time during the last 35 days.
You can call DescribeContinuousBackups at a maximum rate of 10 times per second.
See also: AWS API Documentation
Request Syntax
response = client.describe_continuous_backups(
TableName='string'
)
[REQUIRED]
Name of the table for which the customer wants to check the continuous backups and point in time recovery settings.
{
'ContinuousBackupsDescription': {
'ContinuousBackupsStatus': 'ENABLED'|'DISABLED',
'PointInTimeRecoveryDescription': {
'PointInTimeRecoveryStatus': 'ENABLED'|'DISABLED',
'EarliestRestorableDateTime': datetime(2015, 1, 1),
'LatestRestorableDateTime': datetime(2015, 1, 1)
}
}
}
Response Structure
Represents the continuous backups and point in time recovery settings on the table.
ContinuousBackupsStatus can be one of the following states: ENABLED, DISABLED
The description of the point in time recovery settings applied to the table.
The current state of point in time recovery:
Specifies the earliest point in time you can restore your table to. It You can restore your table to any point in time during the last 35 days.
LatestRestorableDateTime is typically 5 minutes before the current time.
Returns the regional endpoint information.
See also: AWS API Documentation
Request Syntax
response = client.describe_endpoints()
{
'Endpoints': [
{
'Address': 'string',
'CachePeriodInMinutes': 123
},
]
}
Response Structure
List of endpoints.
An endpoint information details.
IP address of the endpoint.
Endpoint cache time to live (TTL) value.
Returns information about the specified global table.
See also: AWS API Documentation
Request Syntax
response = client.describe_global_table(
GlobalTableName='string'
)
[REQUIRED]
The name of the global table.
{
'GlobalTableDescription': {
'ReplicationGroup': [
{
'RegionName': 'string'
},
],
'GlobalTableArn': 'string',
'CreationDateTime': datetime(2015, 1, 1),
'GlobalTableStatus': 'CREATING'|'ACTIVE'|'DELETING'|'UPDATING',
'GlobalTableName': 'string'
}
}
Response Structure
Contains the details of the global table.
The regions where the global table has replicas.
Contains the details of the replica.
The name of the region.
The unique identifier of the global table.
The creation time of the global table.
The current state of the global table:
The global table name.
Describes region specific settings for a global table.
See also: AWS API Documentation
Request Syntax
response = client.describe_global_table_settings(
GlobalTableName='string'
)
[REQUIRED]
The name of the global table to describe.
{
'GlobalTableName': 'string',
'ReplicaSettings': [
{
'RegionName': 'string',
'ReplicaStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'ReplicaBillingModeSummary': {
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST',
'LastUpdateToPayPerRequestDateTime': datetime(2015, 1, 1)
},
'ReplicaProvisionedReadCapacityUnits': 123,
'ReplicaProvisionedReadCapacityAutoScalingSettings': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicies': [
{
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
},
]
},
'ReplicaProvisionedWriteCapacityUnits': 123,
'ReplicaProvisionedWriteCapacityAutoScalingSettings': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicies': [
{
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
},
]
},
'ReplicaGlobalSecondaryIndexSettings': [
{
'IndexName': 'string',
'IndexStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'ProvisionedReadCapacityUnits': 123,
'ProvisionedReadCapacityAutoScalingSettings': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicies': [
{
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
},
]
},
'ProvisionedWriteCapacityUnits': 123,
'ProvisionedWriteCapacityAutoScalingSettings': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicies': [
{
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
},
]
}
},
]
},
]
}
Response Structure
The name of the global table.
The region specific settings for the global table.
Represents the properties of a replica.
The region name of the replica.
The current state of the region:
The read/write capacity mode of the replica.
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
Autoscaling settings for a global table replica's read capacity units.
The minimum capacity units that a global table or global secondary index should be scaled down to.
The maximum capacity units that a global table or global secondary index should be scaled up to.
Disabled autoscaling for this global table or global secondary index.
Role ARN used for configuring autoScaling policy.
Information about the scaling policies.
Represents the properties of the scaling policy.
The name of the scaling policy.
Represents a target tracking scaling policy configuration.
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
AutoScaling settings for a global table replica's write capacity units.
The minimum capacity units that a global table or global secondary index should be scaled down to.
The maximum capacity units that a global table or global secondary index should be scaled up to.
Disabled autoscaling for this global table or global secondary index.
Role ARN used for configuring autoScaling policy.
Information about the scaling policies.
Represents the properties of the scaling policy.
The name of the scaling policy.
Represents a target tracking scaling policy configuration.
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
Replica global secondary index settings for the global table.
Represents the properties of a global secondary index.
The name of the global secondary index. The name must be unique among all other indexes on this table.
The current status of the global secondary index:
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException .
Autoscaling settings for a global secondary index replica's read capacity units.
The minimum capacity units that a global table or global secondary index should be scaled down to.
The maximum capacity units that a global table or global secondary index should be scaled up to.
Disabled autoscaling for this global table or global secondary index.
Role ARN used for configuring autoScaling policy.
Information about the scaling policies.
Represents the properties of the scaling policy.
The name of the scaling policy.
Represents a target tracking scaling policy configuration.
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
AutoScaling settings for a global secondary index replica's write capacity units.
The minimum capacity units that a global table or global secondary index should be scaled down to.
The maximum capacity units that a global table or global secondary index should be scaled up to.
Disabled autoscaling for this global table or global secondary index.
Role ARN used for configuring autoScaling policy.
Information about the scaling policies.
Represents the properties of the scaling policy.
The name of the scaling policy.
Represents a target tracking scaling policy configuration.
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
Returns the current provisioned-capacity limits for your AWS account in a region, both for the region as a whole and for any one DynamoDB table that you create there.
When you establish an AWS account, the account has initial limits on the maximum read capacity units and write capacity units that you can provision across all of your DynamoDB tables in a given region. Also, there are per-table limits that apply when you create a table there. For more information, see Limits page in the Amazon DynamoDB Developer Guide .
Although you can increase these limits by filing a case at AWS Support Center , obtaining the increase is not instantaneous. The DescribeLimits action lets you write code to compare the capacity you are currently using to those limits imposed by your account so that you have enough time to apply for an increase before you hit a limit.
For example, you could use one of the AWS SDKs to do the following:
This will let you see whether you are getting close to your account-level limits.
The per-table limits apply only when you are creating a new table. They restrict the sum of the provisioned capacity of the new table itself and all its global secondary indexes.
For existing tables and their GSIs, DynamoDB will not let you increase provisioned capacity extremely rapidly, but the only upper limit that applies is that the aggregate provisioned capacity over all your tables and GSIs cannot exceed either of the per-account limits.
Note
DescribeLimits should only be called periodically. You can expect throttling errors if you call it more than once in a minute.
The DescribeLimits Request element has no content.
See also: AWS API Documentation
Request Syntax
response = client.describe_limits()
{
'AccountMaxReadCapacityUnits': 123,
'AccountMaxWriteCapacityUnits': 123,
'TableMaxReadCapacityUnits': 123,
'TableMaxWriteCapacityUnits': 123
}
Response Structure
Represents the output of a DescribeLimits operation.
The maximum total read capacity units that your account allows you to provision across all of your tables in this region.
The maximum total write capacity units that your account allows you to provision across all of your tables in this region.
The maximum read capacity units that your account allows you to provision for a new table that you are creating in this region, including the read capacity units provisioned for its global secondary indexes (GSIs).
The maximum write capacity units that your account allows you to provision for a new table that you are creating in this region, including the write capacity units provisioned for its global secondary indexes (GSIs).
Examples
The following example returns the maximum read and write capacity units per table, and for the AWS account, in the current AWS region.
response = client.describe_limits(
)
print(response)
Expected Output:
{
'AccountMaxReadCapacityUnits': 20000,
'AccountMaxWriteCapacityUnits': 20000,
'TableMaxReadCapacityUnits': 10000,
'TableMaxWriteCapacityUnits': 10000,
'ResponseMetadata': {
'...': '...',
},
}
Returns information about the table, including the current status of the table, when it was created, the primary key schema, and any indexes on the table.
Note
If you issue a DescribeTable request immediately after a CreateTable request, DynamoDB might return a ResourceNotFoundException . This is because DescribeTable uses an eventually consistent query, and the metadata for your table might not be available at that moment. Wait for a few seconds, and then try the DescribeTable request again.
See also: AWS API Documentation
Request Syntax
response = client.describe_table(
TableName='string'
)
[REQUIRED]
The name of the table to describe.
{
'Table': {
'AttributeDefinitions': [
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
'TableName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'TableStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'CreationDateTime': datetime(2015, 1, 1),
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'TableSizeBytes': 123,
'ItemCount': 123,
'TableArn': 'string',
'TableId': 'string',
'BillingModeSummary': {
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST',
'LastUpdateToPayPerRequestDateTime': datetime(2015, 1, 1)
},
'LocalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'GlobalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'Backfilling': True|False,
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'StreamSpecification': {
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
'LatestStreamLabel': 'string',
'LatestStreamArn': 'string',
'RestoreSummary': {
'SourceBackupArn': 'string',
'SourceTableArn': 'string',
'RestoreDateTime': datetime(2015, 1, 1),
'RestoreInProgress': True|False
},
'SSEDescription': {
'Status': 'ENABLING'|'ENABLED'|'DISABLING'|'DISABLED'|'UPDATING',
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyArn': 'string'
}
}
}
Response Structure
Represents the output of a DescribeTable operation.
The properties of the table.
An array of AttributeDefinition objects. Each of these objects describes one attribute in the table and index key schema.
Each AttributeDefinition object in this array is composed of:
Represents an attribute for describing the key schema for the table and indexes.
A name for the attribute.
The data type for the attribute, where:
The name of the table.
The primary key structure for the table. Each KeySchemaElement consists of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
The current state of the table:
The date and time when the table was created, in UNIX epoch time format.
The provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
The date and time of the last provisioned throughput increase for this table.
The date and time of the last provisioned throughput decrease for this table.
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
The total size of the specified table, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The number of items in the specified table. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The Amazon Resource Name (ARN) that uniquely identifies the table.
Unique identifier for the table for which the backup was created.
Contains the details for the read/write capacity mode.
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
Represents one or more local secondary indexes on the table. Each index is scoped to a given partition key value. Tables with one or more local secondary indexes are subject to an item collection size limit, where the amount of data within a given item collection cannot exceed 10 GB. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
Represents the properties of a local secondary index.
Represents the name of the local secondary index.
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The Amazon Resource Name (ARN) that uniquely identifies the index.
The global secondary indexes, if any, on the table. Each index is scoped to a given partition key value. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
Represents the properties of a global secondary index.
The name of the global secondary index.
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
The current state of the global secondary index:
Indicates whether the index is currently backfilling. Backfilling is the process of reading items from the table and determining whether they can be added to the index. (Not all items will qualify: For example, a partition key cannot have any duplicate values.) If an item can be added to the index, DynamoDB will do so. After all items have been processed, the backfilling operation is complete and Backfilling is false.
Note
For indexes that were created during a CreateTable operation, the Backfilling attribute does not appear in the DescribeTable output.
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The date and time of the last provisioned throughput increase for this table.
The date and time of the last provisioned throughput decrease for this table.
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The Amazon Resource Name (ARN) that uniquely identifies the index.
The current DynamoDB Streams configuration for the table.
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
A timestamp, in ISO 8601 format, for this stream.
Note that LatestStreamLabel is not a unique identifier for the stream, because it is possible that a stream from another table might have the same timestamp. However, the combination of the following three elements is guaranteed to be unique:
The Amazon Resource Name (ARN) that uniquely identifies the latest stream for this table.
Contains details for the restore.
ARN of the backup from which the table was restored.
ARN of the source table of the backup that is being restored.
Point in time or source backup time.
Indicates if a restore is in progress or not.
The description of the server-side encryption status on the specified table.
The current state of server-side encryption:
Server-side encryption type:
The KMS master key ARN used for the KMS encryption.
Examples
This example describes the Music table.
response = client.describe_table(
TableName='Music',
)
print(response)
Expected Output:
{
'Table': {
'AttributeDefinitions': [
{
'AttributeName': 'Artist',
'AttributeType': 'S',
},
{
'AttributeName': 'SongTitle',
'AttributeType': 'S',
},
],
'CreationDateTime': datetime(2015, 1, 21, 19, 2, 32, 2, 21, 0),
'ItemCount': 0,
'KeySchema': [
{
'AttributeName': 'Artist',
'KeyType': 'HASH',
},
{
'AttributeName': 'SongTitle',
'KeyType': 'RANGE',
},
],
'ProvisionedThroughput': {
'NumberOfDecreasesToday': 1,
'ReadCapacityUnits': 5,
'WriteCapacityUnits': 5,
},
'TableName': 'Music',
'TableSizeBytes': 0,
'TableStatus': 'ACTIVE',
},
'ResponseMetadata': {
'...': '...',
},
}
Gives a description of the Time to Live (TTL) status on the specified table.
See also: AWS API Documentation
Request Syntax
response = client.describe_time_to_live(
TableName='string'
)
[REQUIRED]
The name of the table to be described.
{
'TimeToLiveDescription': {
'TimeToLiveStatus': 'ENABLING'|'DISABLING'|'ENABLED'|'DISABLED',
'AttributeName': 'string'
}
}
Response Structure
The Time to Live status for the table.
The name of the Time to Live attribute for items in the table.
Generate a presigned url given a client, its method, and arguments
The presigned url
The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data and there will be no Item element in the response.
GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true . Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.
See also: AWS API Documentation
Request Syntax
response = client.get_item(
TableName='string',
Key={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
AttributesToGet=[
'string',
],
ConsistentRead=True|False,
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ProjectionExpression='string',
ExpressionAttributeNames={
'string': 'string'
}
)
[REQUIRED]
The name of the table containing the requested item.
[REQUIRED]
A map of attribute names to AttributeValue objects, representing the primary key of the item to retrieve.
For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
dict
Response Syntax
{
'Item': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
}
}
Response Structure
(dict) --
Represents the output of a GetItem operation.
Item (dict) --
A map of attribute names to AttributeValue objects, as specified by ProjectionExpression .
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
ConsumedCapacity (dict) --
The capacity units consumed by the GetItem operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
Examples
This example retrieves an item from the Music table. The table has a partition key and a sort key (Artist and SongTitle), so you must specify both of these attributes.
response = client.get_item(
Key={
'Artist': {
'S': 'Acme Band',
},
'SongTitle': {
'S': 'Happy Day',
},
},
TableName='Music',
)
print(response)
Expected Output:
{
'Item': {
'AlbumTitle': {
'S': 'Songs About Life',
},
'Artist': {
'S': 'Acme Band',
},
'SongTitle': {
'S': 'Happy Day',
},
},
'ResponseMetadata': {
'...': '...',
},
}
Create a paginator for an operation.
Returns an object that can wait for some condition.
List backups associated with an AWS account. To list backups for a given table, specify TableName . ListBackups returns a paginated list of results with at most 1MB worth of items in a page. You can also specify a limit for the maximum number of entries to be returned in a page.
In the request, start time is inclusive but end time is exclusive. Note that these limits are for the time at which the original backup was requested.
You can call ListBackups a maximum of 5 times per second.
See also: AWS API Documentation
Request Syntax
response = client.list_backups(
TableName='string',
Limit=123,
TimeRangeLowerBound=datetime(2015, 1, 1),
TimeRangeUpperBound=datetime(2015, 1, 1),
ExclusiveStartBackupArn='string',
BackupType='USER'|'SYSTEM'|'AWS_BACKUP'|'ALL'
)
The backups from the table specified by BackupType are listed.
Where BackupType can be:
dict
Response Syntax
{
'BackupSummaries': [
{
'TableName': 'string',
'TableId': 'string',
'TableArn': 'string',
'BackupArn': 'string',
'BackupName': 'string',
'BackupCreationDateTime': datetime(2015, 1, 1),
'BackupExpiryDateTime': datetime(2015, 1, 1),
'BackupStatus': 'CREATING'|'DELETED'|'AVAILABLE',
'BackupType': 'USER'|'SYSTEM'|'AWS_BACKUP',
'BackupSizeBytes': 123
},
],
'LastEvaluatedBackupArn': 'string'
}
Response Structure
(dict) --
BackupSummaries (list) --
List of BackupSummary objects.
(dict) --
Contains details for the backup.
TableName (string) --
Name of the table.
TableId (string) --
Unique identifier for the table.
TableArn (string) --
ARN associated with the table.
BackupArn (string) --
ARN associated with the backup.
BackupName (string) --
Name of the specified backup.
BackupCreationDateTime (datetime) --
Time at which the backup was created.
BackupExpiryDateTime (datetime) --
Time at which the automatic on-demand backup created by DynamoDB will expire. This SYSTEM on-demand backup expires automatically 35 days after its creation.
BackupStatus (string) --
Backup can be in one of the following states: CREATING, ACTIVE, DELETED.
BackupType (string) --
BackupType:
BackupSizeBytes (integer) --
Size of the backup in bytes.
LastEvaluatedBackupArn (string) --
The ARN of the backup last evaluated when the current page of results was returned, inclusive of the current page of results. This value may be specified as the ExclusiveStartBackupArn of a new ListBackups operation in order to fetch the next page of results.
If LastEvaluatedBackupArn is empty, then the last page of results has been processed and there are no more results to be retrieved.
If LastEvaluatedBackupArn is not empty, this may or may not indicate there is more data to be returned. All results are guaranteed to have been returned if and only if no value for LastEvaluatedBackupArn is returned.
Lists all global tables that have a replica in the specified region.
See also: AWS API Documentation
Request Syntax
response = client.list_global_tables(
ExclusiveStartGlobalTableName='string',
Limit=123,
RegionName='string'
)
dict
Response Syntax
{
'GlobalTables': [
{
'GlobalTableName': 'string',
'ReplicationGroup': [
{
'RegionName': 'string'
},
]
},
],
'LastEvaluatedGlobalTableName': 'string'
}
Response Structure
(dict) --
GlobalTables (list) --
List of global table names.
(dict) --
Represents the properties of a global table.
GlobalTableName (string) --
The global table name.
ReplicationGroup (list) --
The regions where the global table has replicas.
(dict) --
Represents the properties of a replica.
RegionName (string) --
The region where the replica needs to be created.
LastEvaluatedGlobalTableName (string) --
Last evaluated global table name.
Returns an array of table names associated with the current account and endpoint. The output from ListTables is paginated, with each page returning a maximum of 100 table names.
See also: AWS API Documentation
Request Syntax
response = client.list_tables(
ExclusiveStartTableName='string',
Limit=123
)
dict
Response Syntax
{
'TableNames': [
'string',
],
'LastEvaluatedTableName': 'string'
}
Response Structure
(dict) --
Represents the output of a ListTables operation.
TableNames (list) --
The names of the tables associated with the current account at the current endpoint. The maximum size of this array is 100.
If LastEvaluatedTableName also appears in the output, you can use this value as the ExclusiveStartTableName parameter in a subsequent ListTables request and obtain the next page of results.
LastEvaluatedTableName (string) --
The name of the last table in the current page of results. Use this value as the ExclusiveStartTableName in a new request to obtain the next page of results, until all the table names are returned.
If you do not receive a LastEvaluatedTableName value in the response, this means that there are no more table names to be retrieved.
Examples
This example lists all of the tables associated with the current AWS account and endpoint.
response = client.list_tables(
)
print(response)
Expected Output:
{
'TableNames': [
'Forum',
'ProductCatalog',
'Reply',
'Thread',
],
'ResponseMetadata': {
'...': '...',
},
}
List all tags on an Amazon DynamoDB resource. You can call ListTagsOfResource up to 10 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide .
See also: AWS API Documentation
Request Syntax
response = client.list_tags_of_resource(
ResourceArn='string',
NextToken='string'
)
[REQUIRED]
The Amazon DynamoDB resource with tags to be listed. This value is an Amazon Resource Name (ARN).
dict
Response Syntax
{
'Tags': [
{
'Key': 'string',
'Value': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
Tags (list) --
The tags currently associated with the Amazon DynamoDB resource.
(dict) --
Describes a tag. A tag is a key-value pair. You can add up to 50 tags to a single DynamoDB table.
AWS-assigned tag names and values are automatically assigned the aws: prefix, which the user cannot assign. AWS-assigned tag names do not count towards the tag limit of 50. User-assigned tag names have the prefix user: in the Cost Allocation Report. You cannot backdate the application of a tag.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide .
Key (string) --
The key of the tag.Tag keys are case sensitive. Each DynamoDB table can only have up to one tag with the same key. If you try to add an existing tag (same key), the existing tag value will be updated to the new value.
Value (string) --
The value of the tag. Tag values are case-sensitive and can be null.
NextToken (string) --
If this value is returned, there are additional results to be displayed. To retrieve them, call ListTagsOfResource again, with NextToken set to this value.
Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values. You can return the item's attribute values in the same operation, using the ReturnValues parameter.
Warning
This topic provides general information about the PutItem API.
For information on how to call the PutItem API using the AWS SDK in specific languages, see the following:
When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.
Note
To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.
For more information about PutItem , see Working with Items in the Amazon DynamoDB Developer Guide .
See also: AWS API Documentation
Request Syntax
response = client.put_item(
TableName='string',
Item={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
Expected={
'string': {
'Value': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
'Exists': True|False,
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH',
'AttributeValueList': [
{
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
]
}
},
ReturnValues='NONE'|'ALL_OLD'|'UPDATED_OLD'|'ALL_NEW'|'UPDATED_NEW',
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ReturnItemCollectionMetrics='SIZE'|'NONE',
ConditionalOperator='AND'|'OR',
ConditionExpression='string',
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
}
)
[REQUIRED]
The name of the table to contain the item.
[REQUIRED]
A map of attribute name/value pairs, one for each attribute. Only the primary key attributes are required; you can optionally provide other attribute name-value pairs for the item.
You must provide all of the attributes for the primary key. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide both values for both the partition key and the sort key.
If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
Each element in the Item map is an AttributeValue object.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide .
Represents a condition to be compared with an attribute value. This condition can be used with DeleteItem , PutItem or UpdateItem operations; if the comparison evaluates to true, the operation succeeds; if not, the operation fails. You can use ExpectedAttributeValue in one of two different ways:
Value and Exists are incompatible with AttributeValueList and ComparisonOperator . Note that if you use both sets of parameters at once, DynamoDB will return a ValidationException exception.
Represents the data for the expected attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Causes DynamoDB to evaluate the value before attempting a conditional operation:
The default setting for Exists is true . If you supply a Value all by itself, DynamoDB assumes the attribute exists: You don't have to set Exists to true , because it is implied.
DynamoDB returns a ValidationException if:
A comparator for evaluating attributes in the AttributeValueList . For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Use ReturnValues if you want to get the item attributes as they appeared before they were updated with the PutItem request. For PutItem , the valid values are:
Note
The ReturnValues parameter is used by several DynamoDB operations; however, PutItem does not recognize any values other than NONE or ALL_OLD .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
A condition that must be satisfied in order for a conditional PutItem operation to succeed.
An expression can contain any of the following:
For more information on condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
dict
Response Syntax
{
'Attributes': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
'ItemCollectionMetrics': {
'ItemCollectionKey': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'SizeEstimateRangeGB': [
123.0,
]
}
}
Response Structure
(dict) --
Represents the output of a PutItem operation.
Attributes (dict) --
The attribute values as they appeared before the PutItem operation, but only if ReturnValues is specified as ALL_OLD in the request. Each element consists of an attribute name and an attribute value.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
ConsumedCapacity (dict) --
The capacity units consumed by the PutItem operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
ItemCollectionMetrics (dict) --
Information about item collections, if any, that were affected by the PutItem operation. ItemCollectionMetrics is only returned if the ReturnItemCollectionMetrics parameter was specified. If the table does not have any local secondary indexes, this information is not returned in the response.
Each ItemCollectionMetrics element consists of:
ItemCollectionKey (dict) --
The partition key value of the item collection. This value is the same as the partition key value of the item.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
SizeEstimateRangeGB (list) --
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
Examples
This example adds a new item to the Music table.
response = client.put_item(
Item={
'AlbumTitle': {
'S': 'Somewhat Famous',
},
'Artist': {
'S': 'No One You Know',
},
'SongTitle': {
'S': 'Call Me Today',
},
},
ReturnConsumedCapacity='TOTAL',
TableName='Music',
)
print(response)
Expected Output:
{
'ConsumedCapacity': {
'CapacityUnits': 1,
'TableName': 'Music',
},
'ResponseMetadata': {
'...': '...',
},
}
The Query operation finds items based on primary key values. You can query any table or secondary index that has a composite primary key (a partition key and a sort key).
Use the KeyConditionExpression parameter to provide a specific value for the partition key. The Query operation will return all of the items from the table or index with that partition key value. You can optionally narrow the scope of the Query operation by specifying a sort key value and a comparison operator in KeyConditionExpression . To further refine the Query results, you can optionally provide a FilterExpression . A FilterExpression determines which items within the results should be returned to you. All of the other results are discarded.
A Query operation always returns a result set. If no matching items are found, the result set will be empty. Queries that do not return results consume the minimum number of read capacity units for that type of read operation.
Note
DynamoDB calculates the number of read capacity units consumed based on item size, not on the amount of data that is returned to an application. The number of capacity units consumed will be the same whether you request all of the attributes (the default behavior) or just some of them (using a projection expression). The number will also be the same whether or not you use a FilterExpression .
Query results are always sorted by the sort key value. If the data type of the sort key is Number, the results are returned in numeric order; otherwise, the results are returned in order of UTF-8 bytes. By default, the sort order is ascending. To reverse the order, set the ScanIndexForward parameter to false.
A single Query operation will read up to the maximum number of items set (if using the Limit parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression . If LastEvaluatedKey is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide .
FilterExpression is applied after a Query finishes, but before the results are returned. A FilterExpression cannot contain partition key or sort key attributes. You need to specify those attributes in the KeyConditionExpression .
Note
A Query operation can return an empty result set and a LastEvaluatedKey if all the items read for the page of results are filtered out.
You can query a table, a local secondary index, or a global secondary index. For a query on a table or on a local secondary index, you can set the ConsistentRead parameter to true and obtain a strongly consistent result. Global secondary indexes support eventually consistent reads only, so do not specify ConsistentRead when querying a global secondary index.
See also: AWS API Documentation
Request Syntax
response = client.query(
TableName='string',
IndexName='string',
Select='ALL_ATTRIBUTES'|'ALL_PROJECTED_ATTRIBUTES'|'SPECIFIC_ATTRIBUTES'|'COUNT',
AttributesToGet=[
'string',
],
Limit=123,
ConsistentRead=True|False,
KeyConditions={
'string': {
'AttributeValueList': [
{
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
],
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH'
}
},
QueryFilter={
'string': {
'AttributeValueList': [
{
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
],
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH'
}
},
ConditionalOperator='AND'|'OR',
ScanIndexForward=True|False,
ExclusiveStartKey={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ProjectionExpression='string',
FilterExpression='string',
KeyConditionExpression='string',
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
}
)
[REQUIRED]
The name of the table containing the requested items.
The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.
If neither Select nor AttributesToGet are specified, DynamoDB defaults to ALL_ATTRIBUTES when accessing a table, and ALL_PROJECTED_ATTRIBUTES when accessing an index. You cannot use both Select and AttributesToGet together in a single request, unless the value for Select is SPECIFIC_ATTRIBUTES . (This usage is equivalent to specifying AttributesToGet without any value for Select .)
Note
If you use the ProjectionExpression parameter, then the value for Select can only be SPECIFIC_ATTRIBUTES . Any other value for Select will return an error.
This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide .
Determines the read consistency model: If set to true , then the operation uses strongly consistent reads; otherwise, the operation uses eventually consistent reads.
Strongly consistent reads are not supported on global secondary indexes. If you query a global secondary index with ConsistentRead set to true , you will receive a ValidationException .
This is a legacy parameter. Use KeyConditionExpression instead. For more information, see KeyConditions in the Amazon DynamoDB Developer Guide .
Represents the selection criteria for a Query or Scan operation:
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
For usage examples of AttributeValueList and ComparisonOperator , see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
This is a legacy parameter. Use FilterExpression instead. For more information, see QueryFilter in the Amazon DynamoDB Developer Guide .
Represents the selection criteria for a Query or Scan operation:
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
For usage examples of AttributeValueList and ComparisonOperator , see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
Specifies the order for index traversal: If true (default), the traversal is performed in ascending order; if false , the traversal is performed in descending order.
Items with the same partition key value are stored in sorted order by sort key. If the sort key data type is Number, the results are stored in numeric order. For type String, the results are stored in order of UTF-8 bytes. For type Binary, DynamoDB treats each byte of the binary data as unsigned.
If ScanIndexForward is true , DynamoDB returns the results in the order in which they are stored (by sort key value). This is the default behavior. If ScanIndexForward is false , DynamoDB reads the results in reverse order by sort key value, and then returns the results to the client.
The primary key of the first item that this operation will evaluate. Use the value that was returned for LastEvaluatedKey in the previous operation.
The data type for ExclusiveStartKey must be String, Number or Binary. No set data types are allowed.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Determines the level of detail about provisioned throughput consumption that is returned in the response:
A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
A string that contains conditions that DynamoDB applies after the Query operation, but before the data is returned to you. Items that do not satisfy the FilterExpression criteria are not returned.
A FilterExpression does not allow key attributes. You cannot define a filter expression based on a partition key or a sort key.
Note
A FilterExpression is applied after the items have already been read; the process of filtering does not consume any additional read capacity units.
For more information, see Filter Expressions in the Amazon DynamoDB Developer Guide .
The condition that specifies the key value(s) for items to be retrieved by the Query action.
The condition must perform an equality test on a single partition key value.
The condition can optionally perform one of several comparison tests on a single sort key value. This allows Query to retrieve one item with a given partition key value and sort key value, or several items that have the same partition key value but different sort key values.
The partition key equality test is required, and must be specified in the following format:
partitionKeyName = :partitionkeyval
If you also want to provide a condition for the sort key, it must be combined using AND with the condition for the sort key. Following is an example, using the = comparison operator for the sort key:
partitionKeyName = :partitionkeyval AND sortKeyName = :sortkeyval
Valid comparisons for the sort key condition are as follows:
Use the ExpressionAttributeValues parameter to replace tokens such as :partitionval and :sortval with actual values at runtime.
You can optionally use the ExpressionAttributeNames parameter to replace the names of the partition key and sort key with placeholder tokens. This option might be necessary if an attribute name conflicts with a DynamoDB reserved word. For example, the following KeyConditionExpression parameter causes an error because Size is a reserved word:
To work around this, define a placeholder (such a #S ) to represent the attribute name Size . KeyConditionExpression then is as follows:
For a list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide .
For more information on ExpressionAttributeNames and ExpressionAttributeValues , see Using Placeholders for Attribute Names and Values in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
dict
Response Syntax
{
'Items': [
{
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
],
'Count': 123,
'ScannedCount': 123,
'LastEvaluatedKey': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
}
}
Response Structure
(dict) --
Represents the output of a Query operation.
Items (list) --
An array of item attributes that match the query criteria. Each element in this array consists of an attribute name and the value for that attribute.
(dict) --
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
Count (integer) --
The number of items in the response.
If you used a QueryFilter in the request, then Count is the number of items returned after the filter was applied, and ScannedCount is the number of matching items before the filter was applied.
If you did not use a filter in the request, then Count and ScannedCount are the same.
ScannedCount (integer) --
The number of items evaluated, before any QueryFilter is applied. A high ScannedCount value with few, or no, Count results indicates an inefficient Query operation. For more information, see Count and ScannedCount in the Amazon DynamoDB Developer Guide .
If you did not use a filter in the request, then ScannedCount is the same as Count .
LastEvaluatedKey (dict) --
The primary key of the item where the operation stopped, inclusive of the previous result set. Use this value to start a new operation, excluding this value in the new request.
If LastEvaluatedKey is empty, then the "last page" of results has been processed and there is no more data to be retrieved.
If LastEvaluatedKey is not empty, it does not necessarily mean that there is more data in the result set. The only way to know when you have reached the end of the result set is when LastEvaluatedKey is empty.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
ConsumedCapacity (dict) --
The capacity units consumed by the Query operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
Examples
This example queries items in the Music table. The table has a partition key and sort key (Artist and SongTitle), but this query only specifies the partition key value. It returns song titles by the artist named "No One You Know".
response = client.query(
ExpressionAttributeValues={
':v1': {
'S': 'No One You Know',
},
},
KeyConditionExpression='Artist = :v1',
ProjectionExpression='SongTitle',
TableName='Music',
)
print(response)
Expected Output:
{
'ConsumedCapacity': {
},
'Count': 2,
'Items': [
{
'SongTitle': {
'S': 'Call Me Today',
},
},
],
'ScannedCount': 2,
'ResponseMetadata': {
'...': '...',
},
}
Creates a new table from an existing backup. Any number of users can execute up to 4 concurrent restores (any type of restore) in a given account.
You can call RestoreTableFromBackup at a maximum rate of 10 times per second.
You must manually set up the following on the restored table:
See also: AWS API Documentation
Request Syntax
response = client.restore_table_from_backup(
TargetTableName='string',
BackupArn='string'
)
[REQUIRED]
The name of the new table to which the backup must be restored.
[REQUIRED]
The ARN associated with the backup.
dict
Response Syntax
{
'TableDescription': {
'AttributeDefinitions': [
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
'TableName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'TableStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'CreationDateTime': datetime(2015, 1, 1),
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'TableSizeBytes': 123,
'ItemCount': 123,
'TableArn': 'string',
'TableId': 'string',
'BillingModeSummary': {
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST',
'LastUpdateToPayPerRequestDateTime': datetime(2015, 1, 1)
},
'LocalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'GlobalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'Backfilling': True|False,
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'StreamSpecification': {
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
'LatestStreamLabel': 'string',
'LatestStreamArn': 'string',
'RestoreSummary': {
'SourceBackupArn': 'string',
'SourceTableArn': 'string',
'RestoreDateTime': datetime(2015, 1, 1),
'RestoreInProgress': True|False
},
'SSEDescription': {
'Status': 'ENABLING'|'ENABLED'|'DISABLING'|'DISABLED'|'UPDATING',
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyArn': 'string'
}
}
}
Response Structure
(dict) --
TableDescription (dict) --
The description of the table created from an existing backup.
AttributeDefinitions (list) --
An array of AttributeDefinition objects. Each of these objects describes one attribute in the table and index key schema.
Each AttributeDefinition object in this array is composed of:
(dict) --
Represents an attribute for describing the key schema for the table and indexes.
AttributeName (string) --
A name for the attribute.
AttributeType (string) --
The data type for the attribute, where:
TableName (string) --
The name of the table.
KeySchema (list) --
The primary key structure for the table. Each KeySchemaElement consists of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
TableStatus (string) --
The current state of the table:
CreationDateTime (datetime) --
The date and time when the table was created, in UNIX epoch time format.
ProvisionedThroughput (dict) --
The provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
TableSizeBytes (integer) --
The total size of the specified table, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified table. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
TableArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the table.
TableId (string) --
Unique identifier for the table for which the backup was created.
BillingModeSummary (dict) --
Contains the details for the read/write capacity mode.
BillingMode (string) --
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
LastUpdateToPayPerRequestDateTime (datetime) --
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
LocalSecondaryIndexes (list) --
Represents one or more local secondary indexes on the table. Each index is scoped to a given partition key value. Tables with one or more local secondary indexes are subject to an item collection size limit, where the amount of data within a given item collection cannot exceed 10 GB. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a local secondary index.
IndexName (string) --
Represents the name of the local secondary index.
KeySchema (list) --
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
GlobalSecondaryIndexes (list) --
The global secondary indexes, if any, on the table. Each index is scoped to a given partition key value. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a global secondary index.
IndexName (string) --
The name of the global secondary index.
KeySchema (list) --
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexStatus (string) --
The current state of the global secondary index:
Backfilling (boolean) --
Indicates whether the index is currently backfilling. Backfilling is the process of reading items from the table and determining whether they can be added to the index. (Not all items will qualify: For example, a partition key cannot have any duplicate values.) If an item can be added to the index, DynamoDB will do so. After all items have been processed, the backfilling operation is complete and Backfilling is false.
Note
For indexes that were created during a CreateTable operation, the Backfilling attribute does not appear in the DescribeTable output.
ProvisionedThroughput (dict) --
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
StreamSpecification (dict) --
The current DynamoDB Streams configuration for the table.
StreamEnabled (boolean) --
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
StreamViewType (string) --
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
LatestStreamLabel (string) --
A timestamp, in ISO 8601 format, for this stream.
Note that LatestStreamLabel is not a unique identifier for the stream, because it is possible that a stream from another table might have the same timestamp. However, the combination of the following three elements is guaranteed to be unique:
LatestStreamArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the latest stream for this table.
RestoreSummary (dict) --
Contains details for the restore.
SourceBackupArn (string) --
ARN of the backup from which the table was restored.
SourceTableArn (string) --
ARN of the source table of the backup that is being restored.
RestoreDateTime (datetime) --
Point in time or source backup time.
RestoreInProgress (boolean) --
Indicates if a restore is in progress or not.
SSEDescription (dict) --
The description of the server-side encryption status on the specified table.
Status (string) --
The current state of server-side encryption:
SSEType (string) --
Server-side encryption type:
KMSMasterKeyArn (string) --
The KMS master key ARN used for the KMS encryption.
Restores the specified table to the specified point in time within EarliestRestorableDateTime and LatestRestorableDateTime . You can restore your table to any point in time during the last 35 days. Any number of users can execute up to 4 concurrent restores (any type of restore) in a given account.
When you restore using point in time recovery, DynamoDB restores your table data to the state based on the selected date and time (day:hour:minute:second) to a new table.
Along with data, the following are also included on the new restored table using point in time recovery:
Warning
All these settings come from the current settings of the source table at the time of restore.
You must manually set up the following on the restored table:
See also: AWS API Documentation
Request Syntax
response = client.restore_table_to_point_in_time(
SourceTableName='string',
TargetTableName='string',
UseLatestRestorableTime=True|False,
RestoreDateTime=datetime(2015, 1, 1)
)
[REQUIRED]
Name of the source table that is being restored.
[REQUIRED]
The name of the new table to which it must be restored to.
dict
Response Syntax
{
'TableDescription': {
'AttributeDefinitions': [
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
'TableName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'TableStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'CreationDateTime': datetime(2015, 1, 1),
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'TableSizeBytes': 123,
'ItemCount': 123,
'TableArn': 'string',
'TableId': 'string',
'BillingModeSummary': {
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST',
'LastUpdateToPayPerRequestDateTime': datetime(2015, 1, 1)
},
'LocalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'GlobalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'Backfilling': True|False,
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'StreamSpecification': {
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
'LatestStreamLabel': 'string',
'LatestStreamArn': 'string',
'RestoreSummary': {
'SourceBackupArn': 'string',
'SourceTableArn': 'string',
'RestoreDateTime': datetime(2015, 1, 1),
'RestoreInProgress': True|False
},
'SSEDescription': {
'Status': 'ENABLING'|'ENABLED'|'DISABLING'|'DISABLED'|'UPDATING',
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyArn': 'string'
}
}
}
Response Structure
(dict) --
TableDescription (dict) --
Represents the properties of a table.
AttributeDefinitions (list) --
An array of AttributeDefinition objects. Each of these objects describes one attribute in the table and index key schema.
Each AttributeDefinition object in this array is composed of:
(dict) --
Represents an attribute for describing the key schema for the table and indexes.
AttributeName (string) --
A name for the attribute.
AttributeType (string) --
The data type for the attribute, where:
TableName (string) --
The name of the table.
KeySchema (list) --
The primary key structure for the table. Each KeySchemaElement consists of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
TableStatus (string) --
The current state of the table:
CreationDateTime (datetime) --
The date and time when the table was created, in UNIX epoch time format.
ProvisionedThroughput (dict) --
The provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
TableSizeBytes (integer) --
The total size of the specified table, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified table. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
TableArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the table.
TableId (string) --
Unique identifier for the table for which the backup was created.
BillingModeSummary (dict) --
Contains the details for the read/write capacity mode.
BillingMode (string) --
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
LastUpdateToPayPerRequestDateTime (datetime) --
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
LocalSecondaryIndexes (list) --
Represents one or more local secondary indexes on the table. Each index is scoped to a given partition key value. Tables with one or more local secondary indexes are subject to an item collection size limit, where the amount of data within a given item collection cannot exceed 10 GB. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a local secondary index.
IndexName (string) --
Represents the name of the local secondary index.
KeySchema (list) --
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
GlobalSecondaryIndexes (list) --
The global secondary indexes, if any, on the table. Each index is scoped to a given partition key value. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a global secondary index.
IndexName (string) --
The name of the global secondary index.
KeySchema (list) --
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexStatus (string) --
The current state of the global secondary index:
Backfilling (boolean) --
Indicates whether the index is currently backfilling. Backfilling is the process of reading items from the table and determining whether they can be added to the index. (Not all items will qualify: For example, a partition key cannot have any duplicate values.) If an item can be added to the index, DynamoDB will do so. After all items have been processed, the backfilling operation is complete and Backfilling is false.
Note
For indexes that were created during a CreateTable operation, the Backfilling attribute does not appear in the DescribeTable output.
ProvisionedThroughput (dict) --
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
StreamSpecification (dict) --
The current DynamoDB Streams configuration for the table.
StreamEnabled (boolean) --
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
StreamViewType (string) --
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
LatestStreamLabel (string) --
A timestamp, in ISO 8601 format, for this stream.
Note that LatestStreamLabel is not a unique identifier for the stream, because it is possible that a stream from another table might have the same timestamp. However, the combination of the following three elements is guaranteed to be unique:
LatestStreamArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the latest stream for this table.
RestoreSummary (dict) --
Contains details for the restore.
SourceBackupArn (string) --
ARN of the backup from which the table was restored.
SourceTableArn (string) --
ARN of the source table of the backup that is being restored.
RestoreDateTime (datetime) --
Point in time or source backup time.
RestoreInProgress (boolean) --
Indicates if a restore is in progress or not.
SSEDescription (dict) --
The description of the server-side encryption status on the specified table.
Status (string) --
The current state of server-side encryption:
SSEType (string) --
Server-side encryption type:
KMSMasterKeyArn (string) --
The KMS master key ARN used for the KMS encryption.
The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a FilterExpression operation.
If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.
A single Scan operation will read up to the maximum number of items set (if using the Limit parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression . If LastEvaluatedKey is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide .
Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide .
Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true .
See also: AWS API Documentation
Request Syntax
response = client.scan(
TableName='string',
IndexName='string',
AttributesToGet=[
'string',
],
Limit=123,
Select='ALL_ATTRIBUTES'|'ALL_PROJECTED_ATTRIBUTES'|'SPECIFIC_ATTRIBUTES'|'COUNT',
ScanFilter={
'string': {
'AttributeValueList': [
{
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
],
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH'
}
},
ConditionalOperator='AND'|'OR',
ExclusiveStartKey={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
TotalSegments=123,
Segment=123,
ProjectionExpression='string',
FilterExpression='string',
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
ConsistentRead=True|False
)
[REQUIRED]
The name of the table containing the requested items; or, if you provide IndexName , the name of the table to which that index belongs.
This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide .
The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.
If neither Select nor AttributesToGet are specified, DynamoDB defaults to ALL_ATTRIBUTES when accessing a table, and ALL_PROJECTED_ATTRIBUTES when accessing an index. You cannot use both Select and AttributesToGet together in a single request, unless the value for Select is SPECIFIC_ATTRIBUTES . (This usage is equivalent to specifying AttributesToGet without any value for Select .)
Note
If you use the ProjectionExpression parameter, then the value for Select can only be SPECIFIC_ATTRIBUTES . Any other value for Select will return an error.
This is a legacy parameter. Use FilterExpression instead. For more information, see ScanFilter in the Amazon DynamoDB Developer Guide .
Represents the selection criteria for a Query or Scan operation:
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
For usage examples of AttributeValueList and ComparisonOperator , see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
The primary key of the first item that this operation will evaluate. Use the value that was returned for LastEvaluatedKey in the previous operation.
The data type for ExclusiveStartKey must be String, Number or Binary. No set data types are allowed.
In a parallel scan, a Scan request that includes ExclusiveStartKey must specify the same segment whose previous Scan returned the corresponding value of LastEvaluatedKey .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Determines the level of detail about provisioned throughput consumption that is returned in the response:
For a parallel Scan request, TotalSegments represents the total number of segments into which the Scan operation will be divided. The value of TotalSegments corresponds to the number of application workers that will perform the parallel scan. For example, if you want to use four application threads to scan a table or an index, specify a TotalSegments value of 4.
The value for TotalSegments must be greater than or equal to 1, and less than or equal to 1000000. If you specify a TotalSegments value of 1, the Scan operation will be sequential rather than parallel.
If you specify TotalSegments , you must also specify Segment .
For a parallel Scan request, Segment identifies an individual segment to be scanned by an application worker.
Segment IDs are zero-based, so the first segment is always 0. For example, if you want to use four application threads to scan a table or an index, then the first thread specifies a Segment value of 0, the second thread specifies 1, and so on.
The value of LastEvaluatedKey returned from a parallel Scan request must be used as ExclusiveStartKey with the same segment ID in a subsequent Scan operation.
The value for Segment must be greater than or equal to 0, and less than the value provided for TotalSegments .
If you provide Segment , you must also provide TotalSegments .
A string that identifies one or more attributes to retrieve from the specified table or index. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
A string that contains conditions that DynamoDB applies after the Scan operation, but before the data is returned to you. Items that do not satisfy the FilterExpression criteria are not returned.
Note
A FilterExpression is applied after the items have already been read; the process of filtering does not consume any additional read capacity units.
For more information, see Filter Expressions in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A Boolean value that determines the read consistency model during the scan:
The default setting for ConsistentRead is false .
The ConsistentRead parameter is not supported on global secondary indexes. If you scan a global secondary index with ConsistentRead set to true, you will receive a ValidationException .
dict
Response Syntax
{
'Items': [
{
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
],
'Count': 123,
'ScannedCount': 123,
'LastEvaluatedKey': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
}
}
Response Structure
(dict) --
Represents the output of a Scan operation.
Items (list) --
An array of item attributes that match the scan criteria. Each element in this array consists of an attribute name and the value for that attribute.
(dict) --
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
Count (integer) --
The number of items in the response.
If you set ScanFilter in the request, then Count is the number of items returned after the filter was applied, and ScannedCount is the number of matching items before the filter was applied.
If you did not use a filter in the request, then Count is the same as ScannedCount .
ScannedCount (integer) --
The number of items evaluated, before any ScanFilter is applied. A high ScannedCount value with few, or no, Count results indicates an inefficient Scan operation. For more information, see Count and ScannedCount in the Amazon DynamoDB Developer Guide .
If you did not use a filter in the request, then ScannedCount is the same as Count .
LastEvaluatedKey (dict) --
The primary key of the item where the operation stopped, inclusive of the previous result set. Use this value to start a new operation, excluding this value in the new request.
If LastEvaluatedKey is empty, then the "last page" of results has been processed and there is no more data to be retrieved.
If LastEvaluatedKey is not empty, it does not necessarily mean that there is more data in the result set. The only way to know when you have reached the end of the result set is when LastEvaluatedKey is empty.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
ConsumedCapacity (dict) --
The capacity units consumed by the Scan operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
Examples
This example scans the entire Music table, and then narrows the results to songs by the artist "No One You Know". For each item, only the album title and song title are returned.
response = client.scan(
ExpressionAttributeNames={
'AT': 'AlbumTitle',
'ST': 'SongTitle',
},
ExpressionAttributeValues={
':a': {
'S': 'No One You Know',
},
},
FilterExpression='Artist = :a',
ProjectionExpression='#ST, #AT',
TableName='Music',
)
print(response)
Expected Output:
{
'ConsumedCapacity': {
},
'Count': 2,
'Items': [
{
'AlbumTitle': {
'S': 'Somewhat Famous',
},
'SongTitle': {
'S': 'Call Me Today',
},
},
{
'AlbumTitle': {
'S': 'Blue Sky Blues',
},
'SongTitle': {
'S': 'Scared of My Shadow',
},
},
],
'ScannedCount': 3,
'ResponseMetadata': {
'...': '...',
},
}
Associate a set of tags with an Amazon DynamoDB resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking. You can call TagResource up to 5 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide .
See also: AWS API Documentation
Request Syntax
response = client.tag_resource(
ResourceArn='string',
Tags=[
{
'Key': 'string',
'Value': 'string'
},
]
)
[REQUIRED]
Identifies the Amazon DynamoDB resource to which tags should be added. This value is an Amazon Resource Name (ARN).
[REQUIRED]
The tags to be assigned to the Amazon DynamoDB resource.
Describes a tag. A tag is a key-value pair. You can add up to 50 tags to a single DynamoDB table.
AWS-assigned tag names and values are automatically assigned the aws: prefix, which the user cannot assign. AWS-assigned tag names do not count towards the tag limit of 50. User-assigned tag names have the prefix user: in the Cost Allocation Report. You cannot backdate the application of a tag.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide .
The key of the tag.Tag keys are case sensitive. Each DynamoDB table can only have up to one tag with the same key. If you try to add an existing tag (same key), the existing tag value will be updated to the new value.
The value of the tag. Tag values are case-sensitive and can be null.
None
TransactGetItems is a synchronous operation that atomically retrieves multiple items from one or more tables (but not from indexes) in a single account and region. A TransactGetItems call can contain up to 10 TransactGetItem objects, each of which contains a Get structure that specifies an item to retrieve from a table in the account and region. A call to TransactGetItems cannot retrieve items from tables in more than one AWS account or region.
DynamoDB rejects the entire TransactGetItems request if any of the following is true:
See also: AWS API Documentation
Request Syntax
response = client.transact_get_items(
TransactItems=[
{
'Get': {
'Key': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'TableName': 'string',
'ProjectionExpression': 'string',
'ExpressionAttributeNames': {
'string': 'string'
}
}
},
],
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE'
)
[REQUIRED]
An ordered array of up to 10 TransactGetItem objects, each of which contains a Get structure.
Specifies an item to be retrieved as part of the transaction.
Contains the primary key that identifies the item to get, together with the name of the table that contains the item, and optionally the specific attributes of the item to retrieve.
A map of attribute names to AttributeValue objects that specifies the primary key of the item to retrieve.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
The name of the table from which to retrieve the specified item.
A string that identifies one or more attributes of the specified item to retrieve from the table. The attributes in the expression must be separated by commas. If no attribute names are specified, then all attributes of the specified item are returned. If any of the requested attributes are not found, they do not appear in the result.
One or more substitution tokens for attribute names in the ProjectionExpression parameter.
dict
Response Syntax
{
'ConsumedCapacity': [
{
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
],
'Responses': [
{
'Item': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
}
},
]
}
Response Structure
(dict) --
ConsumedCapacity (list) --
If the ReturnConsumedCapacity value was TOTAL , this is an array of ConsumedCapacity objects, one for each table addressed by TransactGetItem objects in the TransactItems parameter. These ConsumedCapacity objects report the read-capacity units consumed by the TransactGetItems call in that table.
(dict) --
The capacity units consumed by an operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the request asked for it. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
Responses (list) --
An ordered array of up to 10 ItemResponse objects, each of which corresponds to the TransactGetItem object in the same position in the TransactItems array. Each ItemResponse object contains a Map of the name-value pairs that are the projected attributes of the requested item.
If a requested item could not be retrieved, the corresponding ItemResponse object is Null, or if the requested item has no projected attributes, the corresponding ItemResponse object is an empty Map.
(dict) --
Details for the requested item.
Item (dict) --
Map of attribute data consisting of the data type and attribute value.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
TransactWriteItems is a synchronous write operation that groups up to 10 action requests. These actions can target items in different tables, but not in different AWS accounts or regions, and no two actions can target the same item. For example, you cannot both ConditionCheck and Update the same item.
The actions are completed atomically so that either all of them succeed, or all of them fail. They are defined by the following objects:
DynamoDB rejects the entire TransactWriteItems request if any of the following is true:
See also: AWS API Documentation
Request Syntax
response = client.transact_write_items(
TransactItems=[
{
'ConditionCheck': {
'Key': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'TableName': 'string',
'ConditionExpression': 'string',
'ExpressionAttributeNames': {
'string': 'string'
},
'ExpressionAttributeValues': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ReturnValuesOnConditionCheckFailure': 'ALL_OLD'|'NONE'
},
'Put': {
'Item': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'TableName': 'string',
'ConditionExpression': 'string',
'ExpressionAttributeNames': {
'string': 'string'
},
'ExpressionAttributeValues': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ReturnValuesOnConditionCheckFailure': 'ALL_OLD'|'NONE'
},
'Delete': {
'Key': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'TableName': 'string',
'ConditionExpression': 'string',
'ExpressionAttributeNames': {
'string': 'string'
},
'ExpressionAttributeValues': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ReturnValuesOnConditionCheckFailure': 'ALL_OLD'|'NONE'
},
'Update': {
'Key': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'UpdateExpression': 'string',
'TableName': 'string',
'ConditionExpression': 'string',
'ExpressionAttributeNames': {
'string': 'string'
},
'ExpressionAttributeValues': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ReturnValuesOnConditionCheckFailure': 'ALL_OLD'|'NONE'
}
},
],
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ReturnItemCollectionMetrics='SIZE'|'NONE',
ClientRequestToken='string'
)
[REQUIRED]
An ordered array of up to 10 TransactWriteItem objects, each of which contains a ConditionCheck , Put , Update , or Delete object. These can operate on items in different tables, but the tables must reside in the same AWS account and region, and no two of them can operate on the same item.
A list of requests that can perform update, put, delete, or check operations on multiple items in one or more tables atomically.
A request to perform a check item operation.
The primary key of the item to be checked. Each element consists of an attribute name and a value for that attribute.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Name of the table for the check item request.
A condition that must be satisfied in order for a conditional update to succeed.
One or more substitution tokens for attribute names in an expression.
One or more values that can be substituted in an expression.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Use ReturnValuesOnConditionCheckFailure to get the item attributes if the ConditionCheck condition fails. For ReturnValuesOnConditionCheckFailure , the valid values are: NONE and ALL_OLD.
A request to perform a PutItem operation.
A map of attribute name to attribute values, representing the primary key of the item to be written by PutItem . All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema. If any attributes are present in the item that are part of an index key schema for the table, their types must match the index key schema.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Name of the table in which to write the item.
A condition that must be satisfied in order for a conditional update to succeed.
One or more substitution tokens for attribute names in an expression.
One or more values that can be substituted in an expression.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Use ReturnValuesOnConditionCheckFailure to get the item attributes if the Put condition fails. For ReturnValuesOnConditionCheckFailure , the valid values are: NONE and ALL_OLD.
A request to perform a DeleteItem operation.
The primary key of the item to be deleted. Each element consists of an attribute name and a value for that attribute.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Name of the table in which the item to be deleted resides.
A condition that must be satisfied in order for a conditional delete to succeed.
One or more substitution tokens for attribute names in an expression.
One or more values that can be substituted in an expression.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Use ReturnValuesOnConditionCheckFailure to get the item attributes if the Delete condition fails. For ReturnValuesOnConditionCheckFailure , the valid values are: NONE and ALL_OLD.
A request to perform an UpdateItem operation.
The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
An expression that defines one or more attributes to be updated, the action to be performed on them, and new value(s) for them.
Name of the table for the UpdateItem request.
A condition that must be satisfied in order for a conditional update to succeed.
One or more substitution tokens for attribute names in an expression.
One or more values that can be substituted in an expression.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Use ReturnValuesOnConditionCheckFailure to get the item attributes if the Update condition fails. For ReturnValuesOnConditionCheckFailure , the valid values are: NONE, ALL_OLD, UPDATED_OLD, ALL_NEW, UPDATED_NEW.
Determines the level of detail about provisioned throughput consumption that is returned in the response:
Providing a ClientRequestToken makes the call to TransactWriteItems idempotent, meaning that multiple identical calls have the same effect as one single call.
Although multiple identical calls using the same client request token produce the same result on the server (no side effects), the responses to the calls may not be the same. If the ReturnConsumedCapacity> parameter is set, then the initial TransactWriteItems call returns the amount of write capacity units consumed in making the changes, and subsequent TransactWriteItems calls with the same client token return the amount of read capacity units consumed in reading the item.
A client request token is valid for 10 minutes after the first request that uses it completes. After 10 minutes, any request with the same client token is treated as a new request. Do not resubmit the same request with the same client token for more than 10 minutes or the result may not be idempotent.
If you submit a request with the same client token but a change in other parameters within the 10 minute idempotency window, DynamoDB returns an IdempotentParameterMismatch exception.
This field is autopopulated if not provided.
dict
Response Syntax
{
'ConsumedCapacity': [
{
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
],
'ItemCollectionMetrics': {
'string': [
{
'ItemCollectionKey': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'SizeEstimateRangeGB': [
123.0,
]
},
]
}
}
Response Structure
(dict) --
ConsumedCapacity (list) --
The capacity units consumed by the entire TransactWriteItems operation. The values of the list are ordered according to the ordering of the TransactItems request parameter.
(dict) --
The capacity units consumed by an operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the request asked for it. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
ItemCollectionMetrics (dict) --
A list of tables that were processed by TransactWriteItems and, for each table, information about any item collections that were affected by individual UpdateItem , PutItem or DeleteItem operations.
(string) --
(list) --
(dict) --
Information about item collections, if any, that were affected by the operation. ItemCollectionMetrics is only returned if the request asked for it. If the table does not have any local secondary indexes, this information is not returned in the response.
ItemCollectionKey (dict) --
The partition key value of the item collection. This value is the same as the partition key value of the item.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
SizeEstimateRangeGB (list) --
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
Removes the association of tags from an Amazon DynamoDB resource. You can call UntagResource up to 5 times per second, per account.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide .
See also: AWS API Documentation
Request Syntax
response = client.untag_resource(
ResourceArn='string',
TagKeys=[
'string',
]
)
[REQUIRED]
The Amazon DyanamoDB resource the tags will be removed from. This value is an Amazon Resource Name (ARN).
[REQUIRED]
A list of tag keys. Existing tags of the resource whose keys are members of this list will be removed from the Amazon DynamoDB resource.
None
UpdateContinuousBackups enables or disables point in time recovery for the specified table. A successful UpdateContinuousBackups call returns the current ContinuousBackupsDescription . Continuous backups are ENABLED on all tables at table creation. If point in time recovery is enabled, PointInTimeRecoveryStatus will be set to ENABLED.
Once continuous backups and point in time recovery are enabled, you can restore to any point in time within EarliestRestorableDateTime and LatestRestorableDateTime .
LatestRestorableDateTime is typically 5 minutes before the current time. You can restore your table to any point in time during the last 35 days..
See also: AWS API Documentation
Request Syntax
response = client.update_continuous_backups(
TableName='string',
PointInTimeRecoverySpecification={
'PointInTimeRecoveryEnabled': True|False
}
)
[REQUIRED]
The name of the table.
[REQUIRED]
Represents the settings used to enable point in time recovery.
Indicates whether point in time recovery is enabled (true) or disabled (false) on the table.
dict
Response Syntax
{
'ContinuousBackupsDescription': {
'ContinuousBackupsStatus': 'ENABLED'|'DISABLED',
'PointInTimeRecoveryDescription': {
'PointInTimeRecoveryStatus': 'ENABLED'|'DISABLED',
'EarliestRestorableDateTime': datetime(2015, 1, 1),
'LatestRestorableDateTime': datetime(2015, 1, 1)
}
}
}
Response Structure
(dict) --
ContinuousBackupsDescription (dict) --
Represents the continuous backups and point in time recovery settings on the table.
ContinuousBackupsStatus (string) --
ContinuousBackupsStatus can be one of the following states: ENABLED, DISABLED
PointInTimeRecoveryDescription (dict) --
The description of the point in time recovery settings applied to the table.
PointInTimeRecoveryStatus (string) --
The current state of point in time recovery:
EarliestRestorableDateTime (datetime) --
Specifies the earliest point in time you can restore your table to. It You can restore your table to any point in time during the last 35 days.
LatestRestorableDateTime (datetime) --
LatestRestorableDateTime is typically 5 minutes before the current time.
Adds or removes replicas in the specified global table. The global table must already exist to be able to use this operation. Any replica to be added must be empty, must have the same name as the global table, must have the same key schema, and must have DynamoDB Streams enabled and must have same provisioned and maximum write capacity units.
Note
Although you can use UpdateGlobalTable to add replicas and remove replicas in a single request, for simplicity we recommend that you issue separate requests for adding or removing replicas.
If global secondary indexes are specified, then the following conditions must also be met:
See also: AWS API Documentation
Request Syntax
response = client.update_global_table(
GlobalTableName='string',
ReplicaUpdates=[
{
'Create': {
'RegionName': 'string'
},
'Delete': {
'RegionName': 'string'
}
},
]
)
[REQUIRED]
The global table name.
[REQUIRED]
A list of regions that should be added or removed from the global table.
Represents one of the following:
The parameters required for creating a replica on an existing global table.
The region of the replica to be added.
The name of the existing replica to be removed.
The region of the replica to be removed.
dict
Response Syntax
{
'GlobalTableDescription': {
'ReplicationGroup': [
{
'RegionName': 'string'
},
],
'GlobalTableArn': 'string',
'CreationDateTime': datetime(2015, 1, 1),
'GlobalTableStatus': 'CREATING'|'ACTIVE'|'DELETING'|'UPDATING',
'GlobalTableName': 'string'
}
}
Response Structure
(dict) --
GlobalTableDescription (dict) --
Contains the details of the global table.
ReplicationGroup (list) --
The regions where the global table has replicas.
(dict) --
Contains the details of the replica.
RegionName (string) --
The name of the region.
GlobalTableArn (string) --
The unique identifier of the global table.
CreationDateTime (datetime) --
The creation time of the global table.
GlobalTableStatus (string) --
The current state of the global table:
GlobalTableName (string) --
The global table name.
Updates settings for a global table.
See also: AWS API Documentation
Request Syntax
response = client.update_global_table_settings(
GlobalTableName='string',
GlobalTableBillingMode='PROVISIONED'|'PAY_PER_REQUEST',
GlobalTableProvisionedWriteCapacityUnits=123,
GlobalTableProvisionedWriteCapacityAutoScalingSettingsUpdate={
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicyUpdate': {
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
}
},
GlobalTableGlobalSecondaryIndexSettingsUpdate=[
{
'IndexName': 'string',
'ProvisionedWriteCapacityUnits': 123,
'ProvisionedWriteCapacityAutoScalingSettingsUpdate': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicyUpdate': {
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
}
}
},
],
ReplicaSettingsUpdate=[
{
'RegionName': 'string',
'ReplicaProvisionedReadCapacityUnits': 123,
'ReplicaProvisionedReadCapacityAutoScalingSettingsUpdate': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicyUpdate': {
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
}
},
'ReplicaGlobalSecondaryIndexSettingsUpdate': [
{
'IndexName': 'string',
'ProvisionedReadCapacityUnits': 123,
'ProvisionedReadCapacityAutoScalingSettingsUpdate': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicyUpdate': {
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
}
}
},
]
},
]
)
[REQUIRED]
The name of the global table
AutoScaling settings for managing provisioned write capacity for the global table.
The minimum capacity units that a global table or global secondary index should be scaled down to.
The maximum capacity units that a global table or global secondary index should be scaled up to.
Disabled autoscaling for this global table or global secondary index.
Role ARN used for configuring autoscaling policy.
The scaling policy to apply for scaling target global table or global secondary index capacity units.
The name of the scaling policy.
Represents a target tracking scaling policy configuration.
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
Represents the settings of a global secondary index for a global table that will be modified.
Represents the settings of a global secondary index for a global table that will be modified.
The name of the global secondary index. The name must be unique among all other indexes on this table.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException.
AutoScaling settings for managing a global secondary index's write capacity units.
The minimum capacity units that a global table or global secondary index should be scaled down to.
The maximum capacity units that a global table or global secondary index should be scaled up to.
Disabled autoscaling for this global table or global secondary index.
Role ARN used for configuring autoscaling policy.
The scaling policy to apply for scaling target global table or global secondary index capacity units.
The name of the scaling policy.
Represents a target tracking scaling policy configuration.
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
Represents the settings for a global table in a region that will be modified.
Represents the settings for a global table in a region that will be modified.
The region of the replica to be added.
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
Autoscaling settings for managing a global table replica's read capacity units.
The minimum capacity units that a global table or global secondary index should be scaled down to.
The maximum capacity units that a global table or global secondary index should be scaled up to.
Disabled autoscaling for this global table or global secondary index.
Role ARN used for configuring autoscaling policy.
The scaling policy to apply for scaling target global table or global secondary index capacity units.
The name of the scaling policy.
Represents a target tracking scaling policy configuration.
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
Represents the settings of a global secondary index for a global table that will be modified.
Represents the settings of a global secondary index for a global table that will be modified.
The name of the global secondary index. The name must be unique among all other indexes on this table.
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException .
Autoscaling settings for managing a global secondary index replica's read capacity units.
The minimum capacity units that a global table or global secondary index should be scaled down to.
The maximum capacity units that a global table or global secondary index should be scaled up to.
Disabled autoscaling for this global table or global secondary index.
Role ARN used for configuring autoscaling policy.
The scaling policy to apply for scaling target global table or global secondary index capacity units.
The name of the scaling policy.
Represents a target tracking scaling policy configuration.
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
dict
Response Syntax
{
'GlobalTableName': 'string',
'ReplicaSettings': [
{
'RegionName': 'string',
'ReplicaStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'ReplicaBillingModeSummary': {
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST',
'LastUpdateToPayPerRequestDateTime': datetime(2015, 1, 1)
},
'ReplicaProvisionedReadCapacityUnits': 123,
'ReplicaProvisionedReadCapacityAutoScalingSettings': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicies': [
{
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
},
]
},
'ReplicaProvisionedWriteCapacityUnits': 123,
'ReplicaProvisionedWriteCapacityAutoScalingSettings': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicies': [
{
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
},
]
},
'ReplicaGlobalSecondaryIndexSettings': [
{
'IndexName': 'string',
'IndexStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'ProvisionedReadCapacityUnits': 123,
'ProvisionedReadCapacityAutoScalingSettings': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicies': [
{
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
},
]
},
'ProvisionedWriteCapacityUnits': 123,
'ProvisionedWriteCapacityAutoScalingSettings': {
'MinimumUnits': 123,
'MaximumUnits': 123,
'AutoScalingDisabled': True|False,
'AutoScalingRoleArn': 'string',
'ScalingPolicies': [
{
'PolicyName': 'string',
'TargetTrackingScalingPolicyConfiguration': {
'DisableScaleIn': True|False,
'ScaleInCooldown': 123,
'ScaleOutCooldown': 123,
'TargetValue': 123.0
}
},
]
}
},
]
},
]
}
Response Structure
(dict) --
GlobalTableName (string) --
The name of the global table.
ReplicaSettings (list) --
The region specific settings for the global table.
(dict) --
Represents the properties of a replica.
RegionName (string) --
The region name of the replica.
ReplicaStatus (string) --
The current state of the region:
ReplicaBillingModeSummary (dict) --
The read/write capacity mode of the replica.
BillingMode (string) --
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
LastUpdateToPayPerRequestDateTime (datetime) --
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
ReplicaProvisionedReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
ReplicaProvisionedReadCapacityAutoScalingSettings (dict) --
Autoscaling settings for a global table replica's read capacity units.
MinimumUnits (integer) --
The minimum capacity units that a global table or global secondary index should be scaled down to.
MaximumUnits (integer) --
The maximum capacity units that a global table or global secondary index should be scaled up to.
AutoScalingDisabled (boolean) --
Disabled autoscaling for this global table or global secondary index.
AutoScalingRoleArn (string) --
Role ARN used for configuring autoScaling policy.
ScalingPolicies (list) --
Information about the scaling policies.
(dict) --
Represents the properties of the scaling policy.
PolicyName (string) --
The name of the scaling policy.
TargetTrackingScalingPolicyConfiguration (dict) --
Represents a target tracking scaling policy configuration.
DisableScaleIn (boolean) --
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
ScaleInCooldown (integer) --
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
ScaleOutCooldown (integer) --
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
TargetValue (float) --
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
ReplicaProvisionedWriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
ReplicaProvisionedWriteCapacityAutoScalingSettings (dict) --
AutoScaling settings for a global table replica's write capacity units.
MinimumUnits (integer) --
The minimum capacity units that a global table or global secondary index should be scaled down to.
MaximumUnits (integer) --
The maximum capacity units that a global table or global secondary index should be scaled up to.
AutoScalingDisabled (boolean) --
Disabled autoscaling for this global table or global secondary index.
AutoScalingRoleArn (string) --
Role ARN used for configuring autoScaling policy.
ScalingPolicies (list) --
Information about the scaling policies.
(dict) --
Represents the properties of the scaling policy.
PolicyName (string) --
The name of the scaling policy.
TargetTrackingScalingPolicyConfiguration (dict) --
Represents a target tracking scaling policy configuration.
DisableScaleIn (boolean) --
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
ScaleInCooldown (integer) --
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
ScaleOutCooldown (integer) --
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
TargetValue (float) --
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
ReplicaGlobalSecondaryIndexSettings (list) --
Replica global secondary index settings for the global table.
(dict) --
Represents the properties of a global secondary index.
IndexName (string) --
The name of the global secondary index. The name must be unique among all other indexes on this table.
IndexStatus (string) --
The current status of the global secondary index:
ProvisionedReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException .
ProvisionedReadCapacityAutoScalingSettings (dict) --
Autoscaling settings for a global secondary index replica's read capacity units.
MinimumUnits (integer) --
The minimum capacity units that a global table or global secondary index should be scaled down to.
MaximumUnits (integer) --
The maximum capacity units that a global table or global secondary index should be scaled up to.
AutoScalingDisabled (boolean) --
Disabled autoscaling for this global table or global secondary index.
AutoScalingRoleArn (string) --
Role ARN used for configuring autoScaling policy.
ScalingPolicies (list) --
Information about the scaling policies.
(dict) --
Represents the properties of the scaling policy.
PolicyName (string) --
The name of the scaling policy.
TargetTrackingScalingPolicyConfiguration (dict) --
Represents a target tracking scaling policy configuration.
DisableScaleIn (boolean) --
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
ScaleInCooldown (integer) --
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
ScaleOutCooldown (integer) --
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
TargetValue (float) --
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
ProvisionedWriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
ProvisionedWriteCapacityAutoScalingSettings (dict) --
AutoScaling settings for a global secondary index replica's write capacity units.
MinimumUnits (integer) --
The minimum capacity units that a global table or global secondary index should be scaled down to.
MaximumUnits (integer) --
The maximum capacity units that a global table or global secondary index should be scaled up to.
AutoScalingDisabled (boolean) --
Disabled autoscaling for this global table or global secondary index.
AutoScalingRoleArn (string) --
Role ARN used for configuring autoScaling policy.
ScalingPolicies (list) --
Information about the scaling policies.
(dict) --
Represents the properties of the scaling policy.
PolicyName (string) --
The name of the scaling policy.
TargetTrackingScalingPolicyConfiguration (dict) --
Represents a target tracking scaling policy configuration.
DisableScaleIn (boolean) --
Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.
ScaleInCooldown (integer) --
The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application autoscaling scales out your scalable target immediately.
ScaleOutCooldown (integer) --
The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.
TargetValue (float) --
The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).
Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).
You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.
See also: AWS API Documentation
Request Syntax
response = client.update_item(
TableName='string',
Key={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
AttributeUpdates={
'string': {
'Value': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
'Action': 'ADD'|'PUT'|'DELETE'
}
},
Expected={
'string': {
'Value': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
'Exists': True|False,
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH',
'AttributeValueList': [
{
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
]
}
},
ConditionalOperator='AND'|'OR',
ReturnValues='NONE'|'ALL_OLD'|'UPDATED_OLD'|'ALL_NEW'|'UPDATED_NEW',
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ReturnItemCollectionMetrics='SIZE'|'NONE',
UpdateExpression='string',
ConditionExpression='string',
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
}
)
[REQUIRED]
The name of the table containing the item to update.
[REQUIRED]
The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute.
For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
This is a legacy parameter. Use UpdateExpression instead. For more information, see AttributeUpdates in the Amazon DynamoDB Developer Guide .
For the UpdateItem operation, represents the attributes to be modified, the action to perform on each, and the new value for each.
Note
You cannot use UpdateItem to update any primary key attributes. Instead, you will need to delete the item, and then use PutItem to create a new item with new attributes.
Attribute values cannot be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests with empty values will be rejected with a ValidationException exception.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Specifies how to perform the update. Valid values are PUT (default), DELETE , and ADD . The behavior depends on whether the specified primary key already exists in the table.
If an item with the specified *Key* is found in the table:
Note
If you use ADD to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value. In addition, if you use ADD to update an existing item, and intend to increment or decrement an attribute value which does not yet exist, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update does not yet have an attribute named itemcount , but you decide to ADD the number 3 to this attribute anyway, even though it currently does not exist. DynamoDB will create the itemcount attribute, set its initial value to 0 , and finally add 3 to it. The result will be a new itemcount attribute in the item, with a value of 3 .
This action is only valid for an existing attribute whose data type is number or is a set. Do not use ADD for any other data types.
If no item with the specified *Key* is found:
This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide .
Represents a condition to be compared with an attribute value. This condition can be used with DeleteItem , PutItem or UpdateItem operations; if the comparison evaluates to true, the operation succeeds; if not, the operation fails. You can use ExpectedAttributeValue in one of two different ways:
Value and Exists are incompatible with AttributeValueList and ComparisonOperator . Note that if you use both sets of parameters at once, DynamoDB will return a ValidationException exception.
Represents the data for the expected attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Causes DynamoDB to evaluate the value before attempting a conditional operation:
The default setting for Exists is true . If you supply a Value all by itself, DynamoDB assumes the attribute exists: You don't have to set Exists to true , because it is implied.
DynamoDB returns a ValidationException if:
A comparator for evaluating attributes in the AttributeValueList . For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
Use ReturnValues if you want to get the item attributes as they appear before or after they are updated. For UpdateItem , the valid values are:
There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No read capacity units are consumed.
The values returned are strongly consistent.
Determines the level of detail about provisioned throughput consumption that is returned in the response:
An expression that defines one or more attributes to be updated, the action to be performed on them, and new value(s) for them.
The following action values are available for UpdateExpression .
These function names are case-sensitive.
Note
If you use ADD to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value. Similarly, if you use ADD for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update doesn't have an attribute named itemcount , but you decide to ADD the number 3 to this attribute anyway. DynamoDB will create the itemcount attribute, set its initial value to 0 , and finally add 3 to it. The result will be a new itemcount attribute in the item, with a value of 3 .
Warning
The ADD action only supports Number and set data types. In addition, ADD can only be used on top-level attributes, not nested attributes.
Warning
The DELETE action only supports set data types. In addition, DELETE can only be used on top-level attributes, not nested attributes.
You can have many actions in a single expression, such as the following: SET a=:value1, b=:value2 DELETE :value3, :value4, :value5
For more information on update expressions, see Modifying Items and Attributes in the Amazon DynamoDB Developer Guide .
A condition that must be satisfied in order for a conditional update to succeed.
An expression can contain any of the following:
For more information on condition expressions, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
dict
Response Syntax
{
'Attributes': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
'ItemCollectionMetrics': {
'ItemCollectionKey': {
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
'SizeEstimateRangeGB': [
123.0,
]
}
}
Response Structure
(dict) --
Represents the output of an UpdateItem operation.
Attributes (dict) --
A map of attribute values as they appear before or after the UpdateItem operation, as determined by the ReturnValues parameter.
The Attributes map is only present if ReturnValues was specified as something other than NONE in the request. Each element represents one attribute.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
ConsumedCapacity (dict) --
The capacity units consumed by the UpdateItem operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
ItemCollectionMetrics (dict) --
Information about item collections, if any, that were affected by the UpdateItem operation. ItemCollectionMetrics is only returned if the ReturnItemCollectionMetrics parameter was specified. If the table does not have any local secondary indexes, this information is not returned in the response.
Each ItemCollectionMetrics element consists of:
ItemCollectionKey (dict) --
The partition key value of the item collection. This value is the same as the partition key value of the item.
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
SizeEstimateRangeGB (list) --
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
Examples
This example updates an item in the Music table. It adds a new attribute (Year) and modifies the AlbumTitle attribute. All of the attributes in the item, as they appear after the update, are returned in the response.
response = client.update_item(
ExpressionAttributeNames={
'#AT': 'AlbumTitle',
'#Y': 'Year',
},
ExpressionAttributeValues={
':t': {
'S': 'Louder Than Ever',
},
':y': {
'N': '2015',
},
},
Key={
'Artist': {
'S': 'Acme Band',
},
'SongTitle': {
'S': 'Happy Day',
},
},
ReturnValues='ALL_NEW',
TableName='Music',
UpdateExpression='SET #Y = :y, #AT = :t',
)
print(response)
Expected Output:
{
'Attributes': {
'AlbumTitle': {
'S': 'Songs About Life',
},
'Artist': {
'S': 'Acme Band',
},
'SongTitle': {
'S': 'Happy Day',
},
},
'ResponseMetadata': {
'...': '...',
},
}
Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.
You can only perform one of the following operations at once:
UpdateTable is an asynchronous operation; while it is executing, the table status changes from ACTIVE to UPDATING . While it is UPDATING , you cannot issue another UpdateTable request. When the table returns to the ACTIVE state, the UpdateTable operation is complete.
See also: AWS API Documentation
Request Syntax
response = client.update_table(
AttributeDefinitions=[
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
TableName='string',
BillingMode='PROVISIONED'|'PAY_PER_REQUEST',
ProvisionedThroughput={
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
GlobalSecondaryIndexUpdates=[
{
'Update': {
'IndexName': 'string',
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
}
},
'Create': {
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
}
},
'Delete': {
'IndexName': 'string'
}
},
],
StreamSpecification={
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
SSESpecification={
'Enabled': True|False,
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyId': 'string'
}
)
An array of attributes that describe the key schema for the table and indexes. If you are adding a new global secondary index to the table, AttributeDefinitions must include the key element(s) of the new index.
Represents an attribute for describing the key schema for the table and indexes.
A name for the attribute.
The data type for the attribute, where:
[REQUIRED]
The name of the table to be updated.
Controls how you are charged for read and write throughput and how you manage capacity. When switching from pay-per-request to provisioned capacity, initial provisioned capacity values must be set. The initial provisioned capacity values are estimated based on the consumed read and write capacity of your table and global secondary indexes over the past 30 minutes.
The new provisioned throughput settings for the specified table or index.
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
An array of one or more global secondary indexes for the table. For each index in the array, you can request one action:
For more information, see Managing Global Secondary Indexes in the Amazon DynamoDB Developer Guide .
Represents one of the following:
The name of an existing global secondary index, along with new provisioned throughput settings to be applied to that index.
The name of the global secondary index to be updated.
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The parameters required for creating a global secondary index on an existing table:
The name of the global secondary index to be created.
The key schema for the global secondary index.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into an index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The name of an existing global secondary index to be removed.
The name of the global secondary index to be deleted.
Represents the DynamoDB Streams configuration for the table.
Note
You will receive a ResourceInUseException if you attempt to enable a stream on a table that already has a stream, or if you attempt to disable a stream on a table which does not have a stream.
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
The new server-side encryption settings for the specified table.
Indicates whether server-side encryption is enabled (true) or disabled (false) on the table. If enabled (true), server-side encryption type is set to KMS . If disabled (false) or not specified, server-side encryption is set to AWS owned CMK.
Server-side encryption type:
The KMS Master Key (CMK) which should be used for the KMS encryption. To specify a CMK, use its key ID, Amazon Resource Name (ARN), alias name, or alias ARN. Note that you should only provide this parameter if the key is different from the default DynamoDB KMS Master Key alias/aws/dynamodb.
dict
Response Syntax
{
'TableDescription': {
'AttributeDefinitions': [
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
'TableName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'TableStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'CreationDateTime': datetime(2015, 1, 1),
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'TableSizeBytes': 123,
'ItemCount': 123,
'TableArn': 'string',
'TableId': 'string',
'BillingModeSummary': {
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST',
'LastUpdateToPayPerRequestDateTime': datetime(2015, 1, 1)
},
'LocalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'GlobalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'Backfilling': True|False,
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'StreamSpecification': {
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
'LatestStreamLabel': 'string',
'LatestStreamArn': 'string',
'RestoreSummary': {
'SourceBackupArn': 'string',
'SourceTableArn': 'string',
'RestoreDateTime': datetime(2015, 1, 1),
'RestoreInProgress': True|False
},
'SSEDescription': {
'Status': 'ENABLING'|'ENABLED'|'DISABLING'|'DISABLED'|'UPDATING',
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyArn': 'string'
}
}
}
Response Structure
(dict) --
Represents the output of an UpdateTable operation.
TableDescription (dict) --
Represents the properties of the table.
AttributeDefinitions (list) --
An array of AttributeDefinition objects. Each of these objects describes one attribute in the table and index key schema.
Each AttributeDefinition object in this array is composed of:
(dict) --
Represents an attribute for describing the key schema for the table and indexes.
AttributeName (string) --
A name for the attribute.
AttributeType (string) --
The data type for the attribute, where:
TableName (string) --
The name of the table.
KeySchema (list) --
The primary key structure for the table. Each KeySchemaElement consists of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
TableStatus (string) --
The current state of the table:
CreationDateTime (datetime) --
The date and time when the table was created, in UNIX epoch time format.
ProvisionedThroughput (dict) --
The provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
TableSizeBytes (integer) --
The total size of the specified table, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified table. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
TableArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the table.
TableId (string) --
Unique identifier for the table for which the backup was created.
BillingModeSummary (dict) --
Contains the details for the read/write capacity mode.
BillingMode (string) --
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
LastUpdateToPayPerRequestDateTime (datetime) --
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
LocalSecondaryIndexes (list) --
Represents one or more local secondary indexes on the table. Each index is scoped to a given partition key value. Tables with one or more local secondary indexes are subject to an item collection size limit, where the amount of data within a given item collection cannot exceed 10 GB. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a local secondary index.
IndexName (string) --
Represents the name of the local secondary index.
KeySchema (list) --
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
GlobalSecondaryIndexes (list) --
The global secondary indexes, if any, on the table. Each index is scoped to a given partition key value. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a global secondary index.
IndexName (string) --
The name of the global secondary index.
KeySchema (list) --
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexStatus (string) --
The current state of the global secondary index:
Backfilling (boolean) --
Indicates whether the index is currently backfilling. Backfilling is the process of reading items from the table and determining whether they can be added to the index. (Not all items will qualify: For example, a partition key cannot have any duplicate values.) If an item can be added to the index, DynamoDB will do so. After all items have been processed, the backfilling operation is complete and Backfilling is false.
Note
For indexes that were created during a CreateTable operation, the Backfilling attribute does not appear in the DescribeTable output.
ProvisionedThroughput (dict) --
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
StreamSpecification (dict) --
The current DynamoDB Streams configuration for the table.
StreamEnabled (boolean) --
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
StreamViewType (string) --
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
LatestStreamLabel (string) --
A timestamp, in ISO 8601 format, for this stream.
Note that LatestStreamLabel is not a unique identifier for the stream, because it is possible that a stream from another table might have the same timestamp. However, the combination of the following three elements is guaranteed to be unique:
LatestStreamArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the latest stream for this table.
RestoreSummary (dict) --
Contains details for the restore.
SourceBackupArn (string) --
ARN of the backup from which the table was restored.
SourceTableArn (string) --
ARN of the source table of the backup that is being restored.
RestoreDateTime (datetime) --
Point in time or source backup time.
RestoreInProgress (boolean) --
Indicates if a restore is in progress or not.
SSEDescription (dict) --
The description of the server-side encryption status on the specified table.
Status (string) --
The current state of server-side encryption:
SSEType (string) --
Server-side encryption type:
KMSMasterKeyArn (string) --
The KMS master key ARN used for the KMS encryption.
Examples
This example increases the provisioned read and write capacity on the Music table.
response = client.update_table(
ProvisionedThroughput={
'ReadCapacityUnits': 10,
'WriteCapacityUnits': 10,
},
TableName='MusicCollection',
)
print(response)
Expected Output:
{
'TableDescription': {
'AttributeDefinitions': [
{
'AttributeName': 'Artist',
'AttributeType': 'S',
},
{
'AttributeName': 'SongTitle',
'AttributeType': 'S',
},
],
'CreationDateTime': datetime(2015, 1, 21, 19, 2, 32, 2, 21, 0),
'ItemCount': 0,
'KeySchema': [
{
'AttributeName': 'Artist',
'KeyType': 'HASH',
},
{
'AttributeName': 'SongTitle',
'KeyType': 'RANGE',
},
],
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 21, 21, 12, 39, 2, 21, 0),
'NumberOfDecreasesToday': 1,
'ReadCapacityUnits': 1,
'WriteCapacityUnits': 1,
},
'TableName': 'MusicCollection',
'TableSizeBytes': 0,
'TableStatus': 'UPDATING',
},
'ResponseMetadata': {
'...': '...',
},
}
The UpdateTimeToLive method will enable or disable TTL for the specified table. A successful UpdateTimeToLive call returns the current TimeToLiveSpecification ; it may take up to one hour for the change to fully process. Any additional UpdateTimeToLive calls for the same table during this one hour duration result in a ValidationException .
TTL compares the current time in epoch time format to the time stored in the TTL attribute of an item. If the epoch time value stored in the attribute is less than the current time, the item is marked as expired and subsequently deleted.
Note
The epoch time format is the number of seconds elapsed since 12:00:00 AM January 1st, 1970 UTC.
DynamoDB deletes expired items on a best-effort basis to ensure availability of throughput for other data operations.
Warning
DynamoDB typically deletes expired items within two days of expiration. The exact duration within which an item gets deleted after expiration is specific to the nature of the workload. Items that have expired and not been deleted will still show up in reads, queries, and scans.
As items are deleted, they are removed from any Local Secondary Index and Global Secondary Index immediately in the same eventually consistent way as a standard delete operation.
For more information, see Time To Live in the Amazon DynamoDB Developer Guide.
See also: AWS API Documentation
Request Syntax
response = client.update_time_to_live(
TableName='string',
TimeToLiveSpecification={
'Enabled': True|False,
'AttributeName': 'string'
}
)
[REQUIRED]
The name of the table to be configured.
[REQUIRED]
Represents the settings used to enable or disable Time to Live for the specified table.
Indicates whether Time To Live is to be enabled (true) or disabled (false) on the table.
The name of the Time to Live attribute used to store the expiration time for items in the table.
dict
Response Syntax
{
'TimeToLiveSpecification': {
'Enabled': True|False,
'AttributeName': 'string'
}
}
Response Structure
(dict) --
TimeToLiveSpecification (dict) --
Represents the output of an UpdateTimeToLive operation.
Enabled (boolean) --
Indicates whether Time To Live is to be enabled (true) or disabled (false) on the table.
AttributeName (string) --
The name of the Time to Live attribute used to store the expiration time for items in the table.
The available paginators are:
paginator = client.get_paginator('list_backups')
Creates an iterator that will paginate through responses from DynamoDB.Client.list_backups().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
TableName='string',
TimeRangeLowerBound=datetime(2015, 1, 1),
TimeRangeUpperBound=datetime(2015, 1, 1),
BackupType='USER'|'SYSTEM'|'AWS_BACKUP'|'ALL',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
The backups from the table specified by BackupType are listed.
Where BackupType can be:
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'BackupSummaries': [
{
'TableName': 'string',
'TableId': 'string',
'TableArn': 'string',
'BackupArn': 'string',
'BackupName': 'string',
'BackupCreationDateTime': datetime(2015, 1, 1),
'BackupExpiryDateTime': datetime(2015, 1, 1),
'BackupStatus': 'CREATING'|'DELETED'|'AVAILABLE',
'BackupType': 'USER'|'SYSTEM'|'AWS_BACKUP',
'BackupSizeBytes': 123
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
BackupSummaries (list) --
List of BackupSummary objects.
(dict) --
Contains details for the backup.
TableName (string) --
Name of the table.
TableId (string) --
Unique identifier for the table.
TableArn (string) --
ARN associated with the table.
BackupArn (string) --
ARN associated with the backup.
BackupName (string) --
Name of the specified backup.
BackupCreationDateTime (datetime) --
Time at which the backup was created.
BackupExpiryDateTime (datetime) --
Time at which the automatic on-demand backup created by DynamoDB will expire. This SYSTEM on-demand backup expires automatically 35 days after its creation.
BackupStatus (string) --
Backup can be in one of the following states: CREATING, ACTIVE, DELETED.
BackupType (string) --
BackupType:
BackupSizeBytes (integer) --
Size of the backup in bytes.
NextToken (string) --
A token to resume pagination.
paginator = client.get_paginator('list_tables')
Creates an iterator that will paginate through responses from DynamoDB.Client.list_tables().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken from a previous response.
{
'TableNames': [
'string',
],
'NextToken': 'string'
}
Response Structure
Represents the output of a ListTables operation.
The names of the tables associated with the current account at the current endpoint. The maximum size of this array is 100.
If LastEvaluatedTableName also appears in the output, you can use this value as the ExclusiveStartTableName parameter in a subsequent ListTables request and obtain the next page of results.
A token to resume pagination.
paginator = client.get_paginator('list_tags_of_resource')
Creates an iterator that will paginate through responses from DynamoDB.Client.list_tags_of_resource().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
ResourceArn='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The Amazon DynamoDB resource with tags to be listed. This value is an Amazon Resource Name (ARN).
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'Tags': [
{
'Key': 'string',
'Value': 'string'
},
],
}
Response Structure
(dict) --
Tags (list) --
The tags currently associated with the Amazon DynamoDB resource.
(dict) --
Describes a tag. A tag is a key-value pair. You can add up to 50 tags to a single DynamoDB table.
AWS-assigned tag names and values are automatically assigned the aws: prefix, which the user cannot assign. AWS-assigned tag names do not count towards the tag limit of 50. User-assigned tag names have the prefix user: in the Cost Allocation Report. You cannot backdate the application of a tag.
For an overview on tagging DynamoDB resources, see Tagging for DynamoDB in the Amazon DynamoDB Developer Guide .
Key (string) --
The key of the tag.Tag keys are case sensitive. Each DynamoDB table can only have up to one tag with the same key. If you try to add an existing tag (same key), the existing tag value will be updated to the new value.
Value (string) --
The value of the tag. Tag values are case-sensitive and can be null.
paginator = client.get_paginator('query')
Creates an iterator that will paginate through responses from DynamoDB.Client.query().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
TableName='string',
IndexName='string',
Select='ALL_ATTRIBUTES'|'ALL_PROJECTED_ATTRIBUTES'|'SPECIFIC_ATTRIBUTES'|'COUNT',
AttributesToGet=[
'string',
],
ConsistentRead=True|False,
KeyConditions={
'string': {
'AttributeValueList': [
{
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
],
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH'
}
},
QueryFilter={
'string': {
'AttributeValueList': [
{
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
],
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH'
}
},
ConditionalOperator='AND'|'OR',
ScanIndexForward=True|False,
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ProjectionExpression='string',
FilterExpression='string',
KeyConditionExpression='string',
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The name of the table containing the requested items.
The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.
If neither Select nor AttributesToGet are specified, DynamoDB defaults to ALL_ATTRIBUTES when accessing a table, and ALL_PROJECTED_ATTRIBUTES when accessing an index. You cannot use both Select and AttributesToGet together in a single request, unless the value for Select is SPECIFIC_ATTRIBUTES . (This usage is equivalent to specifying AttributesToGet without any value for Select .)
Note
If you use the ProjectionExpression parameter, then the value for Select can only be SPECIFIC_ATTRIBUTES . Any other value for Select will return an error.
This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide .
Determines the read consistency model: If set to true , then the operation uses strongly consistent reads; otherwise, the operation uses eventually consistent reads.
Strongly consistent reads are not supported on global secondary indexes. If you query a global secondary index with ConsistentRead set to true , you will receive a ValidationException .
This is a legacy parameter. Use KeyConditionExpression instead. For more information, see KeyConditions in the Amazon DynamoDB Developer Guide .
Represents the selection criteria for a Query or Scan operation:
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
For usage examples of AttributeValueList and ComparisonOperator , see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
This is a legacy parameter. Use FilterExpression instead. For more information, see QueryFilter in the Amazon DynamoDB Developer Guide .
Represents the selection criteria for a Query or Scan operation:
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
For usage examples of AttributeValueList and ComparisonOperator , see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
Specifies the order for index traversal: If true (default), the traversal is performed in ascending order; if false , the traversal is performed in descending order.
Items with the same partition key value are stored in sorted order by sort key. If the sort key data type is Number, the results are stored in numeric order. For type String, the results are stored in order of UTF-8 bytes. For type Binary, DynamoDB treats each byte of the binary data as unsigned.
If ScanIndexForward is true , DynamoDB returns the results in the order in which they are stored (by sort key value). This is the default behavior. If ScanIndexForward is false , DynamoDB reads the results in reverse order by sort key value, and then returns the results to the client.
Determines the level of detail about provisioned throughput consumption that is returned in the response:
A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
A string that contains conditions that DynamoDB applies after the Query operation, but before the data is returned to you. Items that do not satisfy the FilterExpression criteria are not returned.
A FilterExpression does not allow key attributes. You cannot define a filter expression based on a partition key or a sort key.
Note
A FilterExpression is applied after the items have already been read; the process of filtering does not consume any additional read capacity units.
For more information, see Filter Expressions in the Amazon DynamoDB Developer Guide .
The condition that specifies the key value(s) for items to be retrieved by the Query action.
The condition must perform an equality test on a single partition key value.
The condition can optionally perform one of several comparison tests on a single sort key value. This allows Query to retrieve one item with a given partition key value and sort key value, or several items that have the same partition key value but different sort key values.
The partition key equality test is required, and must be specified in the following format:
partitionKeyName = :partitionkeyval
If you also want to provide a condition for the sort key, it must be combined using AND with the condition for the sort key. Following is an example, using the = comparison operator for the sort key:
partitionKeyName = :partitionkeyval AND sortKeyName = :sortkeyval
Valid comparisons for the sort key condition are as follows:
Use the ExpressionAttributeValues parameter to replace tokens such as :partitionval and :sortval with actual values at runtime.
You can optionally use the ExpressionAttributeNames parameter to replace the names of the partition key and sort key with placeholder tokens. This option might be necessary if an attribute name conflicts with a DynamoDB reserved word. For example, the following KeyConditionExpression parameter causes an error because Size is a reserved word:
To work around this, define a placeholder (such a #S ) to represent the attribute name Size . KeyConditionExpression then is as follows:
For a list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide .
For more information on ExpressionAttributeNames and ExpressionAttributeValues , see Using Placeholders for Attribute Names and Values in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'Items': [
{
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
],
'Count': 123,
'ScannedCount': 123,
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
'NextToken': 'string'
}
Response Structure
(dict) --
Represents the output of a Query operation.
Items (list) --
An array of item attributes that match the query criteria. Each element in this array consists of an attribute name and the value for that attribute.
(dict) --
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
Count (integer) --
The number of items in the response.
If you used a QueryFilter in the request, then Count is the number of items returned after the filter was applied, and ScannedCount is the number of matching items before the filter was applied.
If you did not use a filter in the request, then Count and ScannedCount are the same.
ScannedCount (integer) --
The number of items evaluated, before any QueryFilter is applied. A high ScannedCount value with few, or no, Count results indicates an inefficient Query operation. For more information, see Count and ScannedCount in the Amazon DynamoDB Developer Guide .
If you did not use a filter in the request, then ScannedCount is the same as Count .
ConsumedCapacity (dict) --
The capacity units consumed by the Query operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
NextToken (string) --
A token to resume pagination.
paginator = client.get_paginator('scan')
Creates an iterator that will paginate through responses from DynamoDB.Client.scan().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
TableName='string',
IndexName='string',
AttributesToGet=[
'string',
],
Select='ALL_ATTRIBUTES'|'ALL_PROJECTED_ATTRIBUTES'|'SPECIFIC_ATTRIBUTES'|'COUNT',
ScanFilter={
'string': {
'AttributeValueList': [
{
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
},
],
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH'
}
},
ConditionalOperator='AND'|'OR',
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
TotalSegments=123,
Segment=123,
ProjectionExpression='string',
FilterExpression='string',
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
ConsistentRead=True|False,
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The name of the table containing the requested items; or, if you provide IndexName , the name of the table to which that index belongs.
This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide .
The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.
If neither Select nor AttributesToGet are specified, DynamoDB defaults to ALL_ATTRIBUTES when accessing a table, and ALL_PROJECTED_ATTRIBUTES when accessing an index. You cannot use both Select and AttributesToGet together in a single request, unless the value for Select is SPECIFIC_ATTRIBUTES . (This usage is equivalent to specifying AttributesToGet without any value for Select .)
Note
If you use the ProjectionExpression parameter, then the value for Select can only be SPECIFIC_ATTRIBUTES . Any other value for Select will return an error.
This is a legacy parameter. Use FilterExpression instead. For more information, see ScanFilter in the Amazon DynamoDB Developer Guide .
Represents the selection criteria for a Query or Scan operation:
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
For usage examples of AttributeValueList and ComparisonOperator , see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
For a parallel Scan request, TotalSegments represents the total number of segments into which the Scan operation will be divided. The value of TotalSegments corresponds to the number of application workers that will perform the parallel scan. For example, if you want to use four application threads to scan a table or an index, specify a TotalSegments value of 4.
The value for TotalSegments must be greater than or equal to 1, and less than or equal to 1000000. If you specify a TotalSegments value of 1, the Scan operation will be sequential rather than parallel.
If you specify TotalSegments , you must also specify Segment .
For a parallel Scan request, Segment identifies an individual segment to be scanned by an application worker.
Segment IDs are zero-based, so the first segment is always 0. For example, if you want to use four application threads to scan a table or an index, then the first thread specifies a Segment value of 0, the second thread specifies 1, and so on.
The value of LastEvaluatedKey returned from a parallel Scan request must be used as ExclusiveStartKey with the same segment ID in a subsequent Scan operation.
The value for Segment must be greater than or equal to 0, and less than the value provided for TotalSegments .
If you provide Segment , you must also provide TotalSegments .
A string that identifies one or more attributes to retrieve from the specified table or index. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
A string that contains conditions that DynamoDB applies after the Scan operation, but before the data is returned to you. Items that do not satisfy the FilterExpression criteria are not returned.
Note
A FilterExpression is applied after the items have already been read; the process of filtering does not consume any additional read capacity units.
For more information, see Filter Expressions in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type String. For example:
"S": "Hello"
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
An attribute of type Null. For example:
"NULL": true
An attribute of type Boolean. For example:
"BOOL": true
A Boolean value that determines the read consistency model during the scan:
The default setting for ConsistentRead is false .
The ConsistentRead parameter is not supported on global secondary indexes. If you scan a global secondary index with ConsistentRead set to true, you will receive a ValidationException .
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'Items': [
{
'string': {
'S': 'string',
'N': 'string',
'B': b'bytes',
'SS': [
'string',
],
'NS': [
'string',
],
'BS': [
b'bytes',
],
'M': {
'string': {'... recursive ...'}
},
'L': [
{'... recursive ...'},
],
'NULL': True|False,
'BOOL': True|False
}
},
],
'Count': 123,
'ScannedCount': 123,
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
'NextToken': 'string'
}
Response Structure
(dict) --
Represents the output of a Scan operation.
Items (list) --
An array of item attributes that match the scan criteria. Each element in this array consists of an attribute name and the value for that attribute.
(dict) --
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
S (string) --
An attribute of type String. For example:
"S": "Hello"
N (string) --
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) --
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) --
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
NS (list) --
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
BS (list) --
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
M (dict) --
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) --
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
L (list) --
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N", "3.14159"}]
(dict) --
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide .
NULL (boolean) --
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) --
An attribute of type Boolean. For example:
"BOOL": true
Count (integer) --
The number of items in the response.
If you set ScanFilter in the request, then Count is the number of items returned after the filter was applied, and ScannedCount is the number of matching items before the filter was applied.
If you did not use a filter in the request, then Count is the same as ScannedCount .
ScannedCount (integer) --
The number of items evaluated, before any ScanFilter is applied. A high ScannedCount value with few, or no, Count results indicates an inefficient Scan operation. For more information, see Count and ScannedCount in the Amazon DynamoDB Developer Guide .
If you did not use a filter in the request, then ScannedCount is the same as Count .
ConsumedCapacity (dict) --
The capacity units consumed by the Scan operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
NextToken (string) --
A token to resume pagination.
The available waiters are:
waiter = client.get_waiter('table_exists')
Polls DynamoDB.Client.describe_table() every 20 seconds until a successful state is reached. An error is returned after 25 failed checks.
See also: AWS API Documentation
Request Syntax
waiter.wait(
TableName='string',
WaiterConfig={
'Delay': 123,
'MaxAttempts': 123
}
)
[REQUIRED]
The name of the table to describe.
A dictionary that provides parameters to control waiting behavior.
The amount of time in seconds to wait between attempts. Default: 20
The maximum number of attempts to be made. Default: 25
None
waiter = client.get_waiter('table_not_exists')
Polls DynamoDB.Client.describe_table() every 20 seconds until a successful state is reached. An error is returned after 25 failed checks.
See also: AWS API Documentation
Request Syntax
waiter.wait(
TableName='string',
WaiterConfig={
'Delay': 123,
'MaxAttempts': 123
}
)
[REQUIRED]
The name of the table to describe.
A dictionary that provides parameters to control waiting behavior.
The amount of time in seconds to wait between attempts. Default: 20
The maximum number of attempts to be made. Default: 25
None
A resource representing Amazon DynamoDB:
import boto3
dynamodb = boto3.resource('dynamodb')
These are the resource's available actions:
These are the resource's available sub-resources:
These are the resource's available collections:
Actions
Actions call operations on resources. They may automatically handle the passing in of arguments set from identifiers and some attributes. For more information about actions refer to the Resources Introduction Guide.
The BatchGetItem operation returns the attributes of one or more items from one or more tables. You identify requested items by primary key.
A single operation can retrieve up to 16 MB of data, which can contain as many as 100 items. BatchGetItem will return a partial result if the response size limit is exceeded, the table's provisioned throughput is exceeded, or an internal processing failure occurs. If a partial result is returned, the operation returns a value for UnprocessedKeys . You can use this value to retry the operation starting with the next item to get.
Warning
If you request more than 100 items BatchGetItem will return a ValidationException with the message "Too many items requested for the BatchGetItem call".
For example, if you ask to retrieve 100 items, but each individual item is 300 KB in size, the system returns 52 items (so as not to exceed the 16 MB limit). It also returns an appropriate UnprocessedKeys value so you can get the next page of results. If desired, your application can include its own logic to assemble the pages of results into one data set.
If none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will return a ProvisionedThroughputExceededException . If at least one of the items is successfully processed, then BatchGetItem completes successfully, while returning the keys of the unread items in UnprocessedKeys .
Warning
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm . If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide .
By default, BatchGetItem performs eventually consistent reads on every table in the request. If you want strongly consistent reads instead, you can set ConsistentRead to true for any or all tables.
In order to minimize response latency, BatchGetItem retrieves items in parallel.
When designing your application, keep in mind that DynamoDB does not return items in any particular order. To help parse the response by item, include the primary key values for the items in your request in the ProjectionExpression parameter.
If a requested item does not exist, it is not returned in the result. Requests for nonexistent items consume the minimum read capacity units according to the type of read. For more information, see Capacity Units Calculations in the Amazon DynamoDB Developer Guide .
See also: AWS API Documentation
Request Syntax
response = dynamodb.batch_get_item(
RequestItems={
'string': {
'Keys': [
{
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
],
'AttributesToGet': [
'string',
],
'ConsistentRead': True|False,
'ProjectionExpression': 'string',
'ExpressionAttributeNames': {
'string': 'string'
}
}
},
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE'
)
[REQUIRED]
A map of one or more table names and, for each table, a map that describes one or more items to retrieve from that table. Each table name can be used only once per BatchGetItem request.
Each element in the map of items to retrieve consists of the following:
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
- Percentile
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
- {"#P":"Percentile"}
You could then use this substitution in an expression, as in this example:
- #P = :val
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
Represents a set of primary keys and, for each key, the attributes to retrieve from the table.
For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key. For a composite primary key, you must provide both the partition key and the sort key.
The primary key attribute values that define the items and the attributes associated with the items.
This is a legacy parameter. Use ProjectionExpression instead. For more information, see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
The consistency of a read operation. If set to true , then a strongly consistent read is used; otherwise, an eventually consistent read is used.
A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the ProjectionExpression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
dict
Response Syntax
{
'Responses': {
'string': [
{
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
]
},
'UnprocessedKeys': {
'string': {
'Keys': [
{
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
],
'AttributesToGet': [
'string',
],
'ConsistentRead': True|False,
'ProjectionExpression': 'string',
'ExpressionAttributeNames': {
'string': 'string'
}
}
},
'ConsumedCapacity': [
{
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
]
}
Response Structure
(dict) --
Represents the output of a BatchGetItem operation.
Responses (dict) --
A map of table name to a list of items. Each object in Responses consists of a table name, along with a map of attribute data consisting of the data type and attribute value.
UnprocessedKeys (dict) --
A map of tables and their respective keys that were not processed with the current response. The UnprocessedKeys value is in the same form as RequestItems , so the value can be provided directly to a subsequent BatchGetItem operation. For more information, see RequestItems in the Request Parameters section.
Each element consists of:
If there are no unprocessed keys remaining, the response contains an empty UnprocessedKeys map.
(string) --
(dict) --
Represents a set of primary keys and, for each key, the attributes to retrieve from the table.
For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide the partition key. For a composite primary key, you must provide both the partition key and the sort key.
Keys (list) --
The primary key attribute values that define the items and the attributes associated with the items.
AttributesToGet (list) --
This is a legacy parameter. Use ProjectionExpression instead. For more information, see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
ConsistentRead (boolean) --
The consistency of a read operation. If set to true , then a strongly consistent read is used; otherwise, an eventually consistent read is used.
ProjectionExpression (string) --
A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the ProjectionExpression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
ExpressionAttributeNames (dict) --
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
ConsumedCapacity (list) --
The read capacity units consumed by the entire BatchGetItem operation.
Each element consists of:
(dict) --
The capacity units consumed by an operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the request asked for it. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can write up to 16 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 400 KB.
Note
BatchWriteItem cannot update items. To update items, use the UpdateItem action.
The individual PutItem and DeleteItem operations specified in BatchWriteItem are atomic; however BatchWriteItem as a whole is not. If any requested operations fail because the table's provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in the UnprocessedItems response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem request with those unprocessed items until all items have been processed.
Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchWriteItem will return a ProvisionedThroughputExceededException .
Warning
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm . If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide .
With BatchWriteItem , you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (EMR), or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations, BatchWriteItem does not behave in the same way as individual PutItem and DeleteItem calls would. For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem does not return deleted items in the response.
If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don't support threading, you must update or delete the specified items one at a time. In both situations, BatchWriteItem performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.
Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.
If one or more of the following is true, DynamoDB rejects the entire batch write operation:
See also: AWS API Documentation
Request Syntax
response = dynamodb.batch_write_item(
RequestItems={
'string': [
{
'PutRequest': {
'Item': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
}
},
'DeleteRequest': {
'Key': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
}
}
},
]
},
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ReturnItemCollectionMetrics='SIZE'|'NONE'
)
[REQUIRED]
A map of one or more table names and, for each table, a list of operations to be performed (DeleteRequest or PutRequest ). Each element in the map consists of the following:
Represents an operation to perform - either DeleteItem or PutItem . You can only request one of these operations, not both, in a single WriteRequest . If you do need to perform both of these operations, you will need to provide two separate WriteRequest objects.
A request to perform a PutItem operation.
A map of attribute name to attribute values, representing the primary key of an item to be processed by PutItem . All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema. If any attributes are present in the item which are part of an index key schema for the table, their types must match the index key schema.
A request to perform a DeleteItem operation.
A map of attribute name to attribute values, representing the primary key of the item to delete. All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema.
Determines the level of detail about provisioned throughput consumption that is returned in the response:
dict
Response Syntax
{
'UnprocessedItems': {
'string': [
{
'PutRequest': {
'Item': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
}
},
'DeleteRequest': {
'Key': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
}
}
},
]
},
'ItemCollectionMetrics': {
'string': [
{
'ItemCollectionKey': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'SizeEstimateRangeGB': [
123.0,
]
},
]
},
'ConsumedCapacity': [
{
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
]
}
Response Structure
(dict) --
Represents the output of a BatchWriteItem operation.
UnprocessedItems (dict) --
A map of tables and requests against those tables that were not processed. The UnprocessedItems value is in the same form as RequestItems , so you can provide this value directly to a subsequent BatchGetItem operation. For more information, see RequestItems in the Request Parameters section.
Each UnprocessedItems entry consists of a table name and, for that table, a list of operations to perform (DeleteRequest or PutRequest ).
If there are no unprocessed items remaining, the response contains an empty UnprocessedItems map.
(string) --
(list) --
(dict) --
Represents an operation to perform - either DeleteItem or PutItem . You can only request one of these operations, not both, in a single WriteRequest . If you do need to perform both of these operations, you will need to provide two separate WriteRequest objects.
PutRequest (dict) --
A request to perform a PutItem operation.
Item (dict) --
A map of attribute name to attribute values, representing the primary key of an item to be processed by PutItem . All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema. If any attributes are present in the item which are part of an index key schema for the table, their types must match the index key schema.
DeleteRequest (dict) --
A request to perform a DeleteItem operation.
Key (dict) --
A map of attribute name to attribute values, representing the primary key of the item to delete. All of the table's primary key attributes must be specified, and their data types must match those of the table's key schema.
ItemCollectionMetrics (dict) --
A list of tables that were processed by BatchWriteItem and, for each table, information about any item collections that were affected by individual DeleteItem or PutItem operations.
Each entry consists of the following subelements:
(string) --
(list) --
(dict) --
Information about item collections, if any, that were affected by the operation. ItemCollectionMetrics is only returned if the request asked for it. If the table does not have any local secondary indexes, this information is not returned in the response.
ItemCollectionKey (dict) --
The partition key value of the item collection. This value is the same as the partition key value of the item.
SizeEstimateRangeGB (list) --
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
ConsumedCapacity (list) --
The capacity units consumed by the entire BatchWriteItem operation.
Each element consists of:
(dict) --
The capacity units consumed by an operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the request asked for it. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
The CreateTable operation adds a new table to your account. In an AWS account, table names must be unique within each region. That is, you can have two tables with same name if you create the tables in different regions.
CreateTable is an asynchronous operation. Upon receiving a CreateTable request, DynamoDB immediately returns a response with a TableStatus of CREATING . After the table is created, DynamoDB sets the TableStatus to ACTIVE . You can perform read and write operations only on an ACTIVE table.
You can optionally define secondary indexes on the new table, as part of the CreateTable operation. If you want to create multiple tables with secondary indexes on them, you must create the tables sequentially. Only one table with secondary indexes can be in the CREATING state at any given time.
You can use the DescribeTable action to check the table status.
See also: AWS API Documentation
Request Syntax
table = dynamodb.create_table(
AttributeDefinitions=[
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
TableName='string',
KeySchema=[
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
LocalSecondaryIndexes=[
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
}
},
],
GlobalSecondaryIndexes=[
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
}
},
],
BillingMode='PROVISIONED'|'PAY_PER_REQUEST',
ProvisionedThroughput={
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
StreamSpecification={
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
SSESpecification={
'Enabled': True|False,
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyId': 'string'
}
)
[REQUIRED]
An array of attributes that describe the key schema for the table and indexes.
Represents an attribute for describing the key schema for the table and indexes.
A name for the attribute.
The data type for the attribute, where:
[REQUIRED]
The name of the table to create.
[REQUIRED]
Specifies the attributes that make up the primary key for a table or an index. The attributes in KeySchema must also be defined in the AttributeDefinitions array. For more information, see Data Model in the Amazon DynamoDB Developer Guide .
Each KeySchemaElement in the array is composed of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For a simple primary key (partition key), you must provide exactly one element with a KeyType of HASH .
For a composite primary key (partition key and sort key), you must provide exactly two elements, in this order: The first element must have a KeyType of HASH , and the second element must have a KeyType of RANGE .
For more information, see Specifying the Primary Key in the Amazon DynamoDB Developer Guide .
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
One or more local secondary indexes (the maximum is 5) to be created on the table. Each index is scoped to a given partition key value. There is a 10 GB size limit per partition key value; otherwise, the size of a local secondary index is unconstrained.
Each local secondary index in the array includes the following:
Represents the properties of a local secondary index.
The name of the local secondary index. The name must be unique among all other indexes on this table.
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the local secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
One or more global secondary indexes (the maximum is 20) to be created on the table. Each global secondary index in the array includes the following:
Represents the properties of a global secondary index.
The name of the global secondary index. The name must be unique among all other indexes on this table.
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
Represents the provisioned throughput settings for a specified table or index. The settings can be modified using the UpdateTable operation.
If you set BillingMode as PROVISIONED , you must specify this property. If you set BillingMode as PAY_PER_REQUEST , you cannot specify this property.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The settings for DynamoDB Streams on the table. These settings consist of:
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
Represents the settings used to enable server-side encryption.
Indicates whether server-side encryption is enabled (true) or disabled (false) on the table. If enabled (true), server-side encryption type is set to KMS . If disabled (false) or not specified, server-side encryption is set to AWS owned CMK.
Server-side encryption type:
The KMS Master Key (CMK) which should be used for the KMS encryption. To specify a CMK, use its key ID, Amazon Resource Name (ARN), alias name, or alias ARN. Note that you should only provide this parameter if the key is different from the default DynamoDB KMS Master Key alias/aws/dynamodb.
dynamodb.Table
Table resource
Returns a list of all the available sub-resources for this Resource.
Sub-resources
Sub-resources are methods that create a new instance of a child resource. This resource's identifiers get passed along to the child. For more information about sub-resources refer to the Resources Introduction Guide.
Creates a Table resource.:
table = dynamodb.Table('name')
Collections
Collections provide an interface to iterate over and manipulate groups of resources. For more information about collections refer to the Resources Introduction Guide.
A collection of Table resources
Creates an iterable of all Table resources in the collection.
See also: AWS API Documentation
Request Syntax
table_iterator = dynamodb.tables.all()
Creates an iterable of all Table resources in the collection filtered by kwargs passed to method.
See also: AWS API Documentation
Request Syntax
table_iterator = dynamodb.tables.filter(
ExclusiveStartTableName='string',
Limit=123
)
list(dynamodb.Table)
A list of Table resources
Creates an iterable up to a specified amount of Table resources in the collection.
See also: AWS API Documentation
Request Syntax
table_iterator = dynamodb.tables.limit(
count=123
)
Creates an iterable of all Table resources in the collection, but limits the number of items returned by each service call by the specified amount.
See also: AWS API Documentation
Request Syntax
table_iterator = dynamodb.tables.page_size(
count=123
)
A resource representing an Amazon DynamoDB Table:
import boto3
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('name')
These are the resource's available identifiers:
These are the resource's available attributes:
These are the resource's available actions:
These are the resource's available waiters:
Identifiers
Identifiers are properties of a resource that are set upon instantation of the resource. For more information about identifiers refer to the Resources Introduction Guide.
(string) The Table's name identifier. This must be set.
Attributes
Attributes provide access to the properties of a resource. Attributes are lazy-loaded the first time one is accessed via the load() method. For more information about attributes refer to the Resources Introduction Guide.
(list) --
An array of AttributeDefinition objects. Each of these objects describes one attribute in the table and index key schema.
Each AttributeDefinition object in this array is composed of:
(dict) --
Represents an attribute for describing the key schema for the table and indexes.
AttributeName (string) --
A name for the attribute.
AttributeType (string) --
The data type for the attribute, where:
(dict) --
Contains the details for the read/write capacity mode.
BillingMode (string) --
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
LastUpdateToPayPerRequestDateTime (datetime) --
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
(datetime) --
The date and time when the table was created, in UNIX epoch time format.
(list) --
The global secondary indexes, if any, on the table. Each index is scoped to a given partition key value. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a global secondary index.
IndexName (string) --
The name of the global secondary index.
KeySchema (list) --
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexStatus (string) --
The current state of the global secondary index:
Backfilling (boolean) --
Indicates whether the index is currently backfilling. Backfilling is the process of reading items from the table and determining whether they can be added to the index. (Not all items will qualify: For example, a partition key cannot have any duplicate values.) If an item can be added to the index, DynamoDB will do so. After all items have been processed, the backfilling operation is complete and Backfilling is false.
Note
For indexes that were created during a CreateTable operation, the Backfilling attribute does not appear in the DescribeTable output.
ProvisionedThroughput (dict) --
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
(integer) --
The number of items in the specified table. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
(list) --
The primary key structure for the table. Each KeySchemaElement consists of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(string) --
The Amazon Resource Name (ARN) that uniquely identifies the latest stream for this table.
(string) --
A timestamp, in ISO 8601 format, for this stream.
Note that LatestStreamLabel is not a unique identifier for the stream, because it is possible that a stream from another table might have the same timestamp. However, the combination of the following three elements is guaranteed to be unique:
(list) --
Represents one or more local secondary indexes on the table. Each index is scoped to a given partition key value. Tables with one or more local secondary indexes are subject to an item collection size limit, where the amount of data within a given item collection cannot exceed 10 GB. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
(dict) --
Represents the properties of a local secondary index.
IndexName (string) --
Represents the name of the local secondary index.
KeySchema (list) --
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
(dict) --
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
AttributeName (string) --
The name of a key attribute.
KeyType (string) --
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Projection (dict) --
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
ProjectionType (string) --
The set of attributes that are projected into the index:
NonKeyAttributes (list) --
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
IndexSizeBytes (integer) --
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
ItemCount (integer) --
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
IndexArn (string) --
The Amazon Resource Name (ARN) that uniquely identifies the index.
(dict) --
The provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
LastIncreaseDateTime (datetime) --
The date and time of the last provisioned throughput increase for this table.
LastDecreaseDateTime (datetime) --
The date and time of the last provisioned throughput decrease for this table.
NumberOfDecreasesToday (integer) --
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
ReadCapacityUnits (integer) --
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
WriteCapacityUnits (integer) --
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
(dict) --
Contains details for the restore.
SourceBackupArn (string) --
ARN of the backup from which the table was restored.
SourceTableArn (string) --
ARN of the source table of the backup that is being restored.
RestoreDateTime (datetime) --
Point in time or source backup time.
RestoreInProgress (boolean) --
Indicates if a restore is in progress or not.
(dict) --
The description of the server-side encryption status on the specified table.
Status (string) --
The current state of server-side encryption:
SSEType (string) --
Server-side encryption type:
KMSMasterKeyArn (string) --
The KMS master key ARN used for the KMS encryption.
(dict) --
The current DynamoDB Streams configuration for the table.
StreamEnabled (boolean) --
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
StreamViewType (string) --
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
(string) --
The Amazon Resource Name (ARN) that uniquely identifies the table.
(string) --
Unique identifier for the table for which the backup was created.
(string) --
The name of the table.
(integer) --
The total size of the specified table, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
(string) --
The current state of the table:
Actions
Actions call operations on resources. They may automatically handle the passing in of arguments set from identifiers and some attributes. For more information about actions refer to the Resources Introduction Guide.
Create a batch writer object.
This method creates a context manager for writing objects to Amazon DynamoDB in batch.
The batch writer will automatically handle buffering and sending items in batches. In addition, the batch writer will also automatically handle any unprocessed items and resend them as needed. All you need to do is call put_item for any items you want to add, and delete_item for any items you want to delete.
Example usage:
with table.batch_writer() as batch:
for _ in xrange(1000000):
batch.put_item(Item={'HashKey': '...',
'Otherstuff': '...'})
# You can also delete_items in a batch.
batch.delete_item(Key={'HashKey': 'SomeHashKey'})
The DeleteTable operation deletes a table and all of its items. After a DeleteTable request, the specified table is in the DELETING state until DynamoDB completes the deletion. If the table is in the ACTIVE state, you can delete it. If a table is in CREATING or UPDATING states, then DynamoDB returns a ResourceInUseException . If the specified table does not exist, DynamoDB returns a ResourceNotFoundException . If table is already in the DELETING state, no error is returned.
Note
DynamoDB might continue to accept data read and write operations, such as GetItem and PutItem , on a table in the DELETING state until the table deletion is complete.
When you delete a table, any indexes on that table are also deleted.
If you have DynamoDB Streams enabled on the table, then the corresponding stream on that table goes into the DISABLED state, and the stream is automatically deleted after 24 hours.
Use the DescribeTable action to check the status of the table.
See also: AWS API Documentation
Request Syntax
response = table.delete()
{
'TableDescription': {
'AttributeDefinitions': [
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
'TableName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'TableStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'CreationDateTime': datetime(2015, 1, 1),
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'TableSizeBytes': 123,
'ItemCount': 123,
'TableArn': 'string',
'TableId': 'string',
'BillingModeSummary': {
'BillingMode': 'PROVISIONED'|'PAY_PER_REQUEST',
'LastUpdateToPayPerRequestDateTime': datetime(2015, 1, 1)
},
'LocalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'GlobalSecondaryIndexes': [
{
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'IndexStatus': 'CREATING'|'UPDATING'|'DELETING'|'ACTIVE',
'Backfilling': True|False,
'ProvisionedThroughput': {
'LastIncreaseDateTime': datetime(2015, 1, 1),
'LastDecreaseDateTime': datetime(2015, 1, 1),
'NumberOfDecreasesToday': 123,
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
'IndexSizeBytes': 123,
'ItemCount': 123,
'IndexArn': 'string'
},
],
'StreamSpecification': {
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
'LatestStreamLabel': 'string',
'LatestStreamArn': 'string',
'RestoreSummary': {
'SourceBackupArn': 'string',
'SourceTableArn': 'string',
'RestoreDateTime': datetime(2015, 1, 1),
'RestoreInProgress': True|False
},
'SSEDescription': {
'Status': 'ENABLING'|'ENABLED'|'DISABLING'|'DISABLED'|'UPDATING',
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyArn': 'string'
}
}
}
Response Structure
Represents the output of a DeleteTable operation.
Represents the properties of a table.
An array of AttributeDefinition objects. Each of these objects describes one attribute in the table and index key schema.
Each AttributeDefinition object in this array is composed of:
Represents an attribute for describing the key schema for the table and indexes.
A name for the attribute.
The data type for the attribute, where:
The name of the table.
The primary key structure for the table. Each KeySchemaElement consists of:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
The current state of the table:
The date and time when the table was created, in UNIX epoch time format.
The provisioned throughput settings for the table, consisting of read and write capacity units, along with data about increases and decreases.
The date and time of the last provisioned throughput increase for this table.
The date and time of the last provisioned throughput decrease for this table.
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
The total size of the specified table, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The number of items in the specified table. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The Amazon Resource Name (ARN) that uniquely identifies the table.
Unique identifier for the table for which the backup was created.
Contains the details for the read/write capacity mode.
Controls how you are charged for read and write throughput and how you manage capacity. This setting can be changed later.
Represents the time when PAY_PER_REQUEST was last set as the read/write capacity mode.
Represents one or more local secondary indexes on the table. Each index is scoped to a given partition key value. Tables with one or more local secondary indexes are subject to an item collection size limit, where the amount of data within a given item collection cannot exceed 10 GB. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
Represents the properties of a local secondary index.
Represents the name of the local secondary index.
The complete key schema for the local secondary index, consisting of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The Amazon Resource Name (ARN) that uniquely identifies the index.
The global secondary indexes, if any, on the table. Each index is scoped to a given partition key value. Each element is composed of:
If the table is in the DELETING state, no information about indexes will be returned.
Represents the properties of a global secondary index.
The name of the global secondary index.
The complete key schema for a global secondary index, which consists of one or more pairs of attribute names and key types:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into the global secondary index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
The current state of the global secondary index:
Indicates whether the index is currently backfilling. Backfilling is the process of reading items from the table and determining whether they can be added to the index. (Not all items will qualify: For example, a partition key cannot have any duplicate values.) If an item can be added to the index, DynamoDB will do so. After all items have been processed, the backfilling operation is complete and Backfilling is false.
Note
For indexes that were created during a CreateTable operation, the Backfilling attribute does not appear in the DescribeTable output.
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The date and time of the last provisioned throughput increase for this table.
The date and time of the last provisioned throughput decrease for this table.
The number of provisioned throughput decreases for this table during this UTC calendar day. For current maximums on provisioned throughput decreases, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . Eventually consistent reads require less effort than strongly consistent reads, so a setting of 50 ReadCapacityUnits per second provides 100 eventually consistent ReadCapacityUnits per second.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException .
The total size of the specified index, in bytes. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The number of items in the specified index. DynamoDB updates this value approximately every six hours. Recent changes might not be reflected in this value.
The Amazon Resource Name (ARN) that uniquely identifies the index.
The current DynamoDB Streams configuration for the table.
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
A timestamp, in ISO 8601 format, for this stream.
Note that LatestStreamLabel is not a unique identifier for the stream, because it is possible that a stream from another table might have the same timestamp. However, the combination of the following three elements is guaranteed to be unique:
The Amazon Resource Name (ARN) that uniquely identifies the latest stream for this table.
Contains details for the restore.
ARN of the backup from which the table was restored.
ARN of the source table of the backup that is being restored.
Point in time or source backup time.
Indicates if a restore is in progress or not.
The description of the server-side encryption status on the specified table.
The current state of server-side encryption:
Server-side encryption type:
The KMS master key ARN used for the KMS encryption.
Deletes a single item in a table by primary key. You can perform a conditional delete operation that deletes the item if it exists, or if it has an expected attribute value.
In addition to deleting an item, you can also return the item's attribute values in the same operation, using the ReturnValues parameter.
Unless you specify conditions, the DeleteItem is an idempotent operation; running it multiple times on the same item or attribute does not result in an error response.
Conditional deletes are useful for deleting items only if specific conditions are met. If those conditions are met, DynamoDB performs the delete. Otherwise, the item is not deleted.
See also: AWS API Documentation
Request Syntax
response = table.delete_item(
Key={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
Expected={
'string': {
'Value': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
'Exists': True|False,
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH',
'AttributeValueList': [
'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
]
}
},
ConditionalOperator='AND'|'OR',
ReturnValues='NONE'|'ALL_OLD'|'UPDATED_OLD'|'ALL_NEW'|'UPDATED_NEW',
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ReturnItemCollectionMetrics='SIZE'|'NONE',
ConditionExpression=Attr('myattribute').eq('myvalue'),
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
}
)
[REQUIRED]
A map of attribute names to AttributeValue objects, representing the primary key of the item to delete.
For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide .
Represents a condition to be compared with an attribute value. This condition can be used with DeleteItem , PutItem or UpdateItem operations; if the comparison evaluates to true, the operation succeeds; if not, the operation fails. You can use ExpectedAttributeValue in one of two different ways:
Value and Exists are incompatible with AttributeValueList and ComparisonOperator . Note that if you use both sets of parameters at once, DynamoDB will return a ValidationException exception.
Causes DynamoDB to evaluate the value before attempting a conditional operation:
The default setting for Exists is true . If you supply a Value all by itself, DynamoDB assumes the attribute exists: You don't have to set Exists to true , because it is implied.
DynamoDB returns a ValidationException if:
A comparator for evaluating attributes in the AttributeValueList . For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide .
Use ReturnValues if you want to get the item attributes as they appeared before they were deleted. For DeleteItem , the valid values are:
Note
The ReturnValues parameter is used by several DynamoDB operations; however, DeleteItem does not recognize any values other than NONE or ALL_OLD .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
dict
Response Syntax
{
'Attributes': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
'ItemCollectionMetrics': {
'ItemCollectionKey': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'SizeEstimateRangeGB': [
123.0,
]
}
}
Response Structure
(dict) --
Represents the output of a DeleteItem operation.
Attributes (dict) --
A map of attribute names to AttributeValue objects, representing the item as it appeared before the DeleteItem operation. This map appears in the response only if ReturnValues was specified as ALL_OLD in the request.
ConsumedCapacity (dict) --
The capacity units consumed by the DeleteItem operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
ItemCollectionMetrics (dict) --
Information about item collections, if any, that were affected by the DeleteItem operation. ItemCollectionMetrics is only returned if the ReturnItemCollectionMetrics parameter was specified. If the table does not have any local secondary indexes, this information is not returned in the response.
Each ItemCollectionMetrics element consists of:
ItemCollectionKey (dict) --
The partition key value of the item collection. This value is the same as the partition key value of the item.
SizeEstimateRangeGB (list) --
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
Returns a list of all the available sub-resources for this Resource.
The GetItem operation returns a set of attributes for the item with the given primary key. If there is no matching item, GetItem does not return any data and there will be no Item element in the response.
GetItem provides an eventually consistent read by default. If your application requires a strongly consistent read, set ConsistentRead to true . Although a strongly consistent read might take more time than an eventually consistent read, it always returns the last updated value.
See also: AWS API Documentation
Request Syntax
response = table.get_item(
Key={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
AttributesToGet=[
'string',
],
ConsistentRead=True|False,
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ProjectionExpression='string',
ExpressionAttributeNames={
'string': 'string'
}
)
[REQUIRED]
A map of attribute names to AttributeValue objects, representing the primary key of the item to retrieve.
For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
dict
Response Syntax
{
'Item': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
}
}
Response Structure
(dict) --
Represents the output of a GetItem operation.
Item (dict) --
A map of attribute names to AttributeValue objects, as specified by ProjectionExpression .
ConsumedCapacity (dict) --
The capacity units consumed by the GetItem operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
Calls DynamoDB.Client.describe_table() to update the attributes of the Table resource. Note that the load and reload methods are the same method and can be used interchangeably.
See also: AWS API Documentation
Request Syntax
table.load()
Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. You can perform a conditional put operation (add a new item if one with the specified primary key doesn't exist), or replace an existing item if it has certain attribute values. You can return the item's attribute values in the same operation, using the ReturnValues parameter.
Warning
This topic provides general information about the PutItem API.
For information on how to call the PutItem API using the AWS SDK in specific languages, see the following:
When you add an item, the primary key attribute(s) are the only required attributes. Attribute values cannot be null. String and Binary type attributes must have lengths greater than zero. Set type attributes cannot be empty. Requests with empty values will be rejected with a ValidationException exception.
Note
To prevent a new item from replacing an existing item, use a conditional expression that contains the attribute_not_exists function with the name of the attribute being used as the partition key for the table. Since every record must contain that attribute, the attribute_not_exists function will only succeed if no matching item exists.
For more information about PutItem , see Working with Items in the Amazon DynamoDB Developer Guide .
See also: AWS API Documentation
Request Syntax
response = table.put_item(
Item={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
Expected={
'string': {
'Value': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
'Exists': True|False,
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH',
'AttributeValueList': [
'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
]
}
},
ReturnValues='NONE'|'ALL_OLD'|'UPDATED_OLD'|'ALL_NEW'|'UPDATED_NEW',
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ReturnItemCollectionMetrics='SIZE'|'NONE',
ConditionalOperator='AND'|'OR',
ConditionExpression=Attr('myattribute').eq('myvalue'),
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
}
)
[REQUIRED]
A map of attribute name/value pairs, one for each attribute. Only the primary key attributes are required; you can optionally provide other attribute name-value pairs for the item.
You must provide all of the attributes for the primary key. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide both values for both the partition key and the sort key.
If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table's attribute definition.
For more information about primary keys, see Primary Key in the Amazon DynamoDB Developer Guide .
Each element in the Item map is an AttributeValue object.
This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide .
Represents a condition to be compared with an attribute value. This condition can be used with DeleteItem , PutItem or UpdateItem operations; if the comparison evaluates to true, the operation succeeds; if not, the operation fails. You can use ExpectedAttributeValue in one of two different ways:
Value and Exists are incompatible with AttributeValueList and ComparisonOperator . Note that if you use both sets of parameters at once, DynamoDB will return a ValidationException exception.
Causes DynamoDB to evaluate the value before attempting a conditional operation:
The default setting for Exists is true . If you supply a Value all by itself, DynamoDB assumes the attribute exists: You don't have to set Exists to true , because it is implied.
DynamoDB returns a ValidationException if:
A comparator for evaluating attributes in the AttributeValueList . For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide .
Use ReturnValues if you want to get the item attributes as they appeared before they were updated with the PutItem request. For PutItem , the valid values are:
Note
The ReturnValues parameter is used by several DynamoDB operations; however, PutItem does not recognize any values other than NONE or ALL_OLD .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
dict
Response Syntax
{
'Attributes': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
'ItemCollectionMetrics': {
'ItemCollectionKey': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'SizeEstimateRangeGB': [
123.0,
]
}
}
Response Structure
(dict) --
Represents the output of a PutItem operation.
Attributes (dict) --
The attribute values as they appeared before the PutItem operation, but only if ReturnValues is specified as ALL_OLD in the request. Each element consists of an attribute name and an attribute value.
ConsumedCapacity (dict) --
The capacity units consumed by the PutItem operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
ItemCollectionMetrics (dict) --
Information about item collections, if any, that were affected by the PutItem operation. ItemCollectionMetrics is only returned if the ReturnItemCollectionMetrics parameter was specified. If the table does not have any local secondary indexes, this information is not returned in the response.
Each ItemCollectionMetrics element consists of:
ItemCollectionKey (dict) --
The partition key value of the item collection. This value is the same as the partition key value of the item.
SizeEstimateRangeGB (list) --
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
The Query operation finds items based on primary key values. You can query any table or secondary index that has a composite primary key (a partition key and a sort key).
Use the KeyConditionExpression parameter to provide a specific value for the partition key. The Query operation will return all of the items from the table or index with that partition key value. You can optionally narrow the scope of the Query operation by specifying a sort key value and a comparison operator in KeyConditionExpression . To further refine the Query results, you can optionally provide a FilterExpression . A FilterExpression determines which items within the results should be returned to you. All of the other results are discarded.
A Query operation always returns a result set. If no matching items are found, the result set will be empty. Queries that do not return results consume the minimum number of read capacity units for that type of read operation.
Note
DynamoDB calculates the number of read capacity units consumed based on item size, not on the amount of data that is returned to an application. The number of capacity units consumed will be the same whether you request all of the attributes (the default behavior) or just some of them (using a projection expression). The number will also be the same whether or not you use a FilterExpression .
Query results are always sorted by the sort key value. If the data type of the sort key is Number, the results are returned in numeric order; otherwise, the results are returned in order of UTF-8 bytes. By default, the sort order is ascending. To reverse the order, set the ScanIndexForward parameter to false.
A single Query operation will read up to the maximum number of items set (if using the Limit parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression . If LastEvaluatedKey is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide .
FilterExpression is applied after a Query finishes, but before the results are returned. A FilterExpression cannot contain partition key or sort key attributes. You need to specify those attributes in the KeyConditionExpression .
Note
A Query operation can return an empty result set and a LastEvaluatedKey if all the items read for the page of results are filtered out.
You can query a table, a local secondary index, or a global secondary index. For a query on a table or on a local secondary index, you can set the ConsistentRead parameter to true and obtain a strongly consistent result. Global secondary indexes support eventually consistent reads only, so do not specify ConsistentRead when querying a global secondary index.
See also: AWS API Documentation
Request Syntax
response = table.query(
IndexName='string',
Select='ALL_ATTRIBUTES'|'ALL_PROJECTED_ATTRIBUTES'|'SPECIFIC_ATTRIBUTES'|'COUNT',
AttributesToGet=[
'string',
],
Limit=123,
ConsistentRead=True|False,
KeyConditions={
'string': {
'AttributeValueList': [
'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
],
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH'
}
},
QueryFilter={
'string': {
'AttributeValueList': [
'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
],
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH'
}
},
ConditionalOperator='AND'|'OR',
ScanIndexForward=True|False,
ExclusiveStartKey={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ProjectionExpression='string',
FilterExpression=Attr('myattribute').eq('myvalue'),
KeyConditionExpression=Key('mykey').eq('myvalue'),
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
}
)
The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.
If neither Select nor AttributesToGet are specified, DynamoDB defaults to ALL_ATTRIBUTES when accessing a table, and ALL_PROJECTED_ATTRIBUTES when accessing an index. You cannot use both Select and AttributesToGet together in a single request, unless the value for Select is SPECIFIC_ATTRIBUTES . (This usage is equivalent to specifying AttributesToGet without any value for Select .)
Note
If you use the ProjectionExpression parameter, then the value for Select can only be SPECIFIC_ATTRIBUTES . Any other value for Select will return an error.
This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide .
Determines the read consistency model: If set to true , then the operation uses strongly consistent reads; otherwise, the operation uses eventually consistent reads.
Strongly consistent reads are not supported on global secondary indexes. If you query a global secondary index with ConsistentRead set to true , you will receive a ValidationException .
This is a legacy parameter. Use KeyConditionExpression instead. For more information, see KeyConditions in the Amazon DynamoDB Developer Guide .
Represents the selection criteria for a Query or Scan operation:
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
For usage examples of AttributeValueList and ComparisonOperator , see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
This is a legacy parameter. Use FilterExpression instead. For more information, see QueryFilter in the Amazon DynamoDB Developer Guide .
Represents the selection criteria for a Query or Scan operation:
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
For usage examples of AttributeValueList and ComparisonOperator , see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
Specifies the order for index traversal: If true (default), the traversal is performed in ascending order; if false , the traversal is performed in descending order.
Items with the same partition key value are stored in sorted order by sort key. If the sort key data type is Number, the results are stored in numeric order. For type String, the results are stored in order of UTF-8 bytes. For type Binary, DynamoDB treats each byte of the binary data as unsigned.
If ScanIndexForward is true , DynamoDB returns the results in the order in which they are stored (by sort key value). This is the default behavior. If ScanIndexForward is false , DynamoDB reads the results in reverse order by sort key value, and then returns the results to the client.
The primary key of the first item that this operation will evaluate. Use the value that was returned for LastEvaluatedKey in the previous operation.
The data type for ExclusiveStartKey must be String, Number or Binary. No set data types are allowed.
Determines the level of detail about provisioned throughput consumption that is returned in the response:
A string that identifies one or more attributes to retrieve from the table. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
dict
Response Syntax
{
'Items': [
{
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
],
'Count': 123,
'ScannedCount': 123,
'LastEvaluatedKey': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
}
}
Response Structure
(dict) --
Represents the output of a Query operation.
Items (list) --
An array of item attributes that match the query criteria. Each element in this array consists of an attribute name and the value for that attribute.
Count (integer) --
The number of items in the response.
If you used a QueryFilter in the request, then Count is the number of items returned after the filter was applied, and ScannedCount is the number of matching items before the filter was applied.
If you did not use a filter in the request, then Count and ScannedCount are the same.
ScannedCount (integer) --
The number of items evaluated, before any QueryFilter is applied. A high ScannedCount value with few, or no, Count results indicates an inefficient Query operation. For more information, see Count and ScannedCount in the Amazon DynamoDB Developer Guide .
If you did not use a filter in the request, then ScannedCount is the same as Count .
LastEvaluatedKey (dict) --
The primary key of the item where the operation stopped, inclusive of the previous result set. Use this value to start a new operation, excluding this value in the new request.
If LastEvaluatedKey is empty, then the "last page" of results has been processed and there is no more data to be retrieved.
If LastEvaluatedKey is not empty, it does not necessarily mean that there is more data in the result set. The only way to know when you have reached the end of the result set is when LastEvaluatedKey is empty.
ConsumedCapacity (dict) --
The capacity units consumed by the Query operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
Calls DynamoDB.Client.describe_table() to update the attributes of the Table resource. Note that the load and reload methods are the same method and can be used interchangeably.
See also: AWS API Documentation
Request Syntax
table.reload()
The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a FilterExpression operation.
If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.
A single Scan operation will read up to the maximum number of items set (if using the Limit parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression . If LastEvaluatedKey is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide .
Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide .
Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true .
See also: AWS API Documentation
Request Syntax
response = table.scan(
IndexName='string',
AttributesToGet=[
'string',
],
Limit=123,
Select='ALL_ATTRIBUTES'|'ALL_PROJECTED_ATTRIBUTES'|'SPECIFIC_ATTRIBUTES'|'COUNT',
ScanFilter={
'string': {
'AttributeValueList': [
'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
],
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH'
}
},
ConditionalOperator='AND'|'OR',
ExclusiveStartKey={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
TotalSegments=123,
Segment=123,
ProjectionExpression='string',
FilterExpression=Attr('myattribute').eq('myvalue'),
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
ConsistentRead=True|False
)
This is a legacy parameter. Use ProjectionExpression instead. For more information, see AttributesToGet in the Amazon DynamoDB Developer Guide .
The attributes to be returned in the result. You can retrieve all item attributes, specific item attributes, the count of matching items, or in the case of an index, some or all of the attributes projected into the index.
If neither Select nor AttributesToGet are specified, DynamoDB defaults to ALL_ATTRIBUTES when accessing a table, and ALL_PROJECTED_ATTRIBUTES when accessing an index. You cannot use both Select and AttributesToGet together in a single request, unless the value for Select is SPECIFIC_ATTRIBUTES . (This usage is equivalent to specifying AttributesToGet without any value for Select .)
Note
If you use the ProjectionExpression parameter, then the value for Select can only be SPECIFIC_ATTRIBUTES . Any other value for Select will return an error.
This is a legacy parameter. Use FilterExpression instead. For more information, see ScanFilter in the Amazon DynamoDB Developer Guide .
Represents the selection criteria for a Query or Scan operation:
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
A comparator for evaluating attributes. For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
For usage examples of AttributeValueList and ComparisonOperator , see Legacy Conditional Parameters in the Amazon DynamoDB Developer Guide .
The primary key of the first item that this operation will evaluate. Use the value that was returned for LastEvaluatedKey in the previous operation.
The data type for ExclusiveStartKey must be String, Number or Binary. No set data types are allowed.
In a parallel scan, a Scan request that includes ExclusiveStartKey must specify the same segment whose previous Scan returned the corresponding value of LastEvaluatedKey .
Determines the level of detail about provisioned throughput consumption that is returned in the response:
For a parallel Scan request, TotalSegments represents the total number of segments into which the Scan operation will be divided. The value of TotalSegments corresponds to the number of application workers that will perform the parallel scan. For example, if you want to use four application threads to scan a table or an index, specify a TotalSegments value of 4.
The value for TotalSegments must be greater than or equal to 1, and less than or equal to 1000000. If you specify a TotalSegments value of 1, the Scan operation will be sequential rather than parallel.
If you specify TotalSegments , you must also specify Segment .
For a parallel Scan request, Segment identifies an individual segment to be scanned by an application worker.
Segment IDs are zero-based, so the first segment is always 0. For example, if you want to use four application threads to scan a table or an index, then the first thread specifies a Segment value of 0, the second thread specifies 1, and so on.
The value of LastEvaluatedKey returned from a parallel Scan request must be used as ExclusiveStartKey with the same segment ID in a subsequent Scan operation.
The value for Segment must be greater than or equal to 0, and less than the value provided for TotalSegments .
If you provide Segment , you must also provide TotalSegments .
A string that identifies one or more attributes to retrieve from the specified table or index. These attributes can include scalars, sets, or elements of a JSON document. The attributes in the expression must be separated by commas.
If no attribute names are specified, then all attributes will be returned. If any of the requested attributes are not found, they will not appear in the result.
For more information, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
A Boolean value that determines the read consistency model during the scan:
The default setting for ConsistentRead is false .
The ConsistentRead parameter is not supported on global secondary indexes. If you scan a global secondary index with ConsistentRead set to true, you will receive a ValidationException .
dict
Response Syntax
{
'Items': [
{
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
],
'Count': 123,
'ScannedCount': 123,
'LastEvaluatedKey': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
}
}
Response Structure
(dict) --
Represents the output of a Scan operation.
Items (list) --
An array of item attributes that match the scan criteria. Each element in this array consists of an attribute name and the value for that attribute.
Count (integer) --
The number of items in the response.
If you set ScanFilter in the request, then Count is the number of items returned after the filter was applied, and ScannedCount is the number of matching items before the filter was applied.
If you did not use a filter in the request, then Count is the same as ScannedCount .
ScannedCount (integer) --
The number of items evaluated, before any ScanFilter is applied. A high ScannedCount value with few, or no, Count results indicates an inefficient Scan operation. For more information, see Count and ScannedCount in the Amazon DynamoDB Developer Guide .
If you did not use a filter in the request, then ScannedCount is the same as Count .
LastEvaluatedKey (dict) --
The primary key of the item where the operation stopped, inclusive of the previous result set. Use this value to start a new operation, excluding this value in the new request.
If LastEvaluatedKey is empty, then the "last page" of results has been processed and there is no more data to be retrieved.
If LastEvaluatedKey is not empty, it does not necessarily mean that there is more data in the result set. The only way to know when you have reached the end of the result set is when LastEvaluatedKey is empty.
ConsumedCapacity (dict) --
The capacity units consumed by the Scan operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
Modifies the provisioned throughput settings, global secondary indexes, or DynamoDB Streams settings for a given table.
You can only perform one of the following operations at once:
UpdateTable is an asynchronous operation; while it is executing, the table status changes from ACTIVE to UPDATING . While it is UPDATING , you cannot issue another UpdateTable request. When the table returns to the ACTIVE state, the UpdateTable operation is complete.
See also: AWS API Documentation
Request Syntax
table = table.update(
AttributeDefinitions=[
{
'AttributeName': 'string',
'AttributeType': 'S'|'N'|'B'
},
],
BillingMode='PROVISIONED'|'PAY_PER_REQUEST',
ProvisionedThroughput={
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
},
GlobalSecondaryIndexUpdates=[
{
'Update': {
'IndexName': 'string',
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
}
},
'Create': {
'IndexName': 'string',
'KeySchema': [
{
'AttributeName': 'string',
'KeyType': 'HASH'|'RANGE'
},
],
'Projection': {
'ProjectionType': 'ALL'|'KEYS_ONLY'|'INCLUDE',
'NonKeyAttributes': [
'string',
]
},
'ProvisionedThroughput': {
'ReadCapacityUnits': 123,
'WriteCapacityUnits': 123
}
},
'Delete': {
'IndexName': 'string'
}
},
],
StreamSpecification={
'StreamEnabled': True|False,
'StreamViewType': 'NEW_IMAGE'|'OLD_IMAGE'|'NEW_AND_OLD_IMAGES'|'KEYS_ONLY'
},
SSESpecification={
'Enabled': True|False,
'SSEType': 'AES256'|'KMS',
'KMSMasterKeyId': 'string'
}
)
An array of attributes that describe the key schema for the table and indexes. If you are adding a new global secondary index to the table, AttributeDefinitions must include the key element(s) of the new index.
Represents an attribute for describing the key schema for the table and indexes.
A name for the attribute.
The data type for the attribute, where:
Controls how you are charged for read and write throughput and how you manage capacity. When switching from pay-per-request to provisioned capacity, initial provisioned capacity values must be set. The initial provisioned capacity values are estimated based on the consumed read and write capacity of your table and global secondary indexes over the past 30 minutes.
The new provisioned throughput settings for the specified table or index.
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
An array of one or more global secondary indexes for the table. For each index in the array, you can request one action:
For more information, see Managing Global Secondary Indexes in the Amazon DynamoDB Developer Guide .
Represents one of the following:
The name of an existing global secondary index, along with new provisioned throughput settings to be applied to that index.
The name of the global secondary index to be updated.
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The parameters required for creating a global secondary index on an existing table:
The name of the global secondary index to be created.
The key schema for the global secondary index.
Represents a single element of a key schema. A key schema specifies the attributes that make up the primary key of a table, or the key attributes of an index.
A KeySchemaElement represents exactly one attribute of the primary key. For example, a simple primary key would be represented by one KeySchemaElement (for the partition key). A composite primary key would require one KeySchemaElement for the partition key, and another KeySchemaElement for the sort key.
A KeySchemaElement must be a scalar, top-level attribute (not a nested attribute). The data type must be one of String, Number, or Binary. The attribute cannot be nested within a List or a Map.
The name of a key attribute.
The role that this key attribute will assume:
Note
The partition key of an item is also known as its hash attribute . The term "hash attribute" derives from DynamoDB' usage of an internal hash function to evenly distribute data items across partitions, based on their partition key values.
The sort key of an item is also known as its range attribute . The term "range attribute" derives from the way DynamoDB stores items with the same partition key physically close together, in sorted order by the sort key value.
Represents attributes that are copied (projected) from the table into an index. These are in addition to the primary key attributes and index key attributes, which are automatically projected.
The set of attributes that are projected into the index:
Represents the non-key attribute names which will be projected into the index.
For local secondary indexes, the total count of NonKeyAttributes summed across all of the local secondary indexes, must not exceed 20. If you project the same attribute into two different indexes, this counts as two distinct attributes when determining the total.
Represents the provisioned throughput settings for the specified global secondary index.
For current minimum and maximum provisioned throughput values, see Limits in the Amazon DynamoDB Developer Guide .
The maximum number of strongly consistent reads consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The maximum number of writes consumed per second before DynamoDB returns a ThrottlingException . For more information, see Specifying Read and Write Requirements in the Amazon DynamoDB Developer Guide .
If read/write capacity mode is PAY_PER_REQUEST the value is set to 0.
The name of an existing global secondary index to be removed.
The name of the global secondary index to be deleted.
Represents the DynamoDB Streams configuration for the table.
Note
You will receive a ResourceInUseException if you attempt to enable a stream on a table that already has a stream, or if you attempt to disable a stream on a table which does not have a stream.
Indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table.
When an item in the table is modified, StreamViewType determines what information is written to the stream for this table. Valid values for StreamViewType are:
The new server-side encryption settings for the specified table.
Indicates whether server-side encryption is enabled (true) or disabled (false) on the table. If enabled (true), server-side encryption type is set to KMS . If disabled (false) or not specified, server-side encryption is set to AWS owned CMK.
Server-side encryption type:
The KMS Master Key (CMK) which should be used for the KMS encryption. To specify a CMK, use its key ID, Amazon Resource Name (ARN), alias name, or alias ARN. Note that you should only provide this parameter if the key is different from the default DynamoDB KMS Master Key alias/aws/dynamodb.
dynamodb.Table
Table resource
Edits an existing item's attributes, or adds a new item to the table if it does not already exist. You can put, delete, or add attribute values. You can also perform a conditional update on an existing item (insert a new attribute name-value pair if it doesn't exist, or replace an existing name-value pair if it has certain expected attribute values).
You can also return the item's attribute values in the same UpdateItem operation using the ReturnValues parameter.
See also: AWS API Documentation
Request Syntax
response = table.update_item(
Key={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
AttributeUpdates={
'string': {
'Value': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
'Action': 'ADD'|'PUT'|'DELETE'
}
},
Expected={
'string': {
'Value': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
'Exists': True|False,
'ComparisonOperator': 'EQ'|'NE'|'IN'|'LE'|'LT'|'GE'|'GT'|'BETWEEN'|'NOT_NULL'|'NULL'|'CONTAINS'|'NOT_CONTAINS'|'BEGINS_WITH',
'AttributeValueList': [
'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{},
]
}
},
ConditionalOperator='AND'|'OR',
ReturnValues='NONE'|'ALL_OLD'|'UPDATED_OLD'|'ALL_NEW'|'UPDATED_NEW',
ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE',
ReturnItemCollectionMetrics='SIZE'|'NONE',
UpdateExpression='string',
ConditionExpression=Attr('myattribute').eq('myvalue'),
ExpressionAttributeNames={
'string': 'string'
},
ExpressionAttributeValues={
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
}
)
[REQUIRED]
The primary key of the item to be updated. Each element consists of an attribute name and a value for that attribute.
For the primary key, you must provide all of the attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
This is a legacy parameter. Use UpdateExpression instead. For more information, see AttributeUpdates in the Amazon DynamoDB Developer Guide .
For the UpdateItem operation, represents the attributes to be modified, the action to perform on each, and the new value for each.
Note
You cannot use UpdateItem to update any primary key attributes. Instead, you will need to delete the item, and then use PutItem to create a new item with new attributes.
Attribute values cannot be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests with empty values will be rejected with a ValidationException exception.
Specifies how to perform the update. Valid values are PUT (default), DELETE , and ADD . The behavior depends on whether the specified primary key already exists in the table.
If an item with the specified *Key* is found in the table:
Note
If you use ADD to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value. In addition, if you use ADD to update an existing item, and intend to increment or decrement an attribute value which does not yet exist, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update does not yet have an attribute named itemcount , but you decide to ADD the number 3 to this attribute anyway, even though it currently does not exist. DynamoDB will create the itemcount attribute, set its initial value to 0 , and finally add 3 to it. The result will be a new itemcount attribute in the item, with a value of 3 .
This action is only valid for an existing attribute whose data type is number or is a set. Do not use ADD for any other data types.
If no item with the specified *Key* is found:
This is a legacy parameter. Use ConditionExpression instead. For more information, see Expected in the Amazon DynamoDB Developer Guide .
Represents a condition to be compared with an attribute value. This condition can be used with DeleteItem , PutItem or UpdateItem operations; if the comparison evaluates to true, the operation succeeds; if not, the operation fails. You can use ExpectedAttributeValue in one of two different ways:
Value and Exists are incompatible with AttributeValueList and ComparisonOperator . Note that if you use both sets of parameters at once, DynamoDB will return a ValidationException exception.
Causes DynamoDB to evaluate the value before attempting a conditional operation:
The default setting for Exists is true . If you supply a Value all by itself, DynamoDB assumes the attribute exists: You don't have to set Exists to true , because it is implied.
DynamoDB returns a ValidationException if:
A comparator for evaluating attributes in the AttributeValueList . For example, equals, greater than, less than, etc.
The following comparison operators are available:
EQ | NE | LE | LT | GE | GT | NOT_NULL | NULL | CONTAINS | NOT_CONTAINS | BEGINS_WITH | IN | BETWEEN
The following are descriptions of each comparison operator.
Note
This operator tests for the existence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NOT_NULL , the result is a Boolean true . This result is because the attribute "a " exists; its data type is not relevant to the NOT_NULL comparison operator.
Note
This operator tests for the nonexistence of an attribute, not its data type. If the data type of attribute "a " is null, and you evaluate it using NULL , the result is a Boolean false . This is because the attribute "a " exists; its data type is not relevant to the NULL comparison operator.
One or more values to evaluate against the supplied attribute. The number of values in the list depends on the ComparisonOperator being used.
For type Number, value comparisons are numeric.
String value comparisons for greater than, equals, or less than are based on ASCII character code values. For example, a is greater than A , and a is greater than B . For a list of code values, see http://en.wikipedia.org/wiki/ASCII#ASCII_printable_characters .
For Binary, DynamoDB treats each byte of the binary data as unsigned when it compares binary values.
For information on specifying data types in JSON, see JSON Data Format in the Amazon DynamoDB Developer Guide .
Use ReturnValues if you want to get the item attributes as they appear before or after they are updated. For UpdateItem , the valid values are:
There is no additional cost associated with requesting a return value aside from the small network and processing overhead of receiving a larger response. No read capacity units are consumed.
The values returned are strongly consistent.
Determines the level of detail about provisioned throughput consumption that is returned in the response:
An expression that defines one or more attributes to be updated, the action to be performed on them, and new value(s) for them.
The following action values are available for UpdateExpression .
These function names are case-sensitive.
Note
If you use ADD to increment or decrement a number value for an item that doesn't exist before the update, DynamoDB uses 0 as the initial value. Similarly, if you use ADD for an existing item to increment or decrement an attribute value that doesn't exist before the update, DynamoDB uses 0 as the initial value. For example, suppose that the item you want to update doesn't have an attribute named itemcount , but you decide to ADD the number 3 to this attribute anyway. DynamoDB will create the itemcount attribute, set its initial value to 0 , and finally add 3 to it. The result will be a new itemcount attribute in the item, with a value of 3 .
Warning
The ADD action only supports Number and set data types. In addition, ADD can only be used on top-level attributes, not nested attributes.
Warning
The DELETE action only supports set data types. In addition, DELETE can only be used on top-level attributes, not nested attributes.
You can have many actions in a single expression, such as the following: SET a=:value1, b=:value2 DELETE :value3, :value4, :value5
For more information on update expressions, see Modifying Items and Attributes in the Amazon DynamoDB Developer Guide .
One or more substitution tokens for attribute names in an expression. The following are some use cases for using ExpressionAttributeNames :
Use the # character in an expression to dereference an attribute name. For example, consider the following attribute name:
The name of this attribute conflicts with a reserved word, so it cannot be used directly in an expression. (For the complete list of reserved words, see Reserved Words in the Amazon DynamoDB Developer Guide ). To work around this, you could specify the following for ExpressionAttributeNames :
You could then use this substitution in an expression, as in this example:
Note
Tokens that begin with the : character are expression attribute values , which are placeholders for the actual value at runtime.
For more information on expression attribute names, see Accessing Item Attributes in the Amazon DynamoDB Developer Guide .
One or more values that can be substituted in an expression.
Use the : (colon) character in an expression to dereference an attribute value. For example, suppose that you wanted to check whether the value of the ProductStatus attribute was one of the following:
Available | Backordered | Discontinued
You would first need to specify ExpressionAttributeValues as follows:
{ ":avail":{"S":"Available"}, ":back":{"S":"Backordered"}, ":disc":{"S":"Discontinued"} }
You could then use these values in an expression, such as this:
ProductStatus IN (:avail, :back, :disc)
For more information on expression attribute values, see Specifying Conditions in the Amazon DynamoDB Developer Guide .
dict
Response Syntax
{
'Attributes': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'ConsumedCapacity': {
'TableName': 'string',
'CapacityUnits': 123.0,
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'Table': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
},
'LocalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
},
'GlobalSecondaryIndexes': {
'string': {
'ReadCapacityUnits': 123.0,
'WriteCapacityUnits': 123.0,
'CapacityUnits': 123.0
}
}
},
'ItemCollectionMetrics': {
'ItemCollectionKey': {
'string': 'string'|123|Binary(b'bytes')|True|None|set(['string'])|set([123])|set([Binary(b'bytes')])|[]|{}
},
'SizeEstimateRangeGB': [
123.0,
]
}
}
Response Structure
(dict) --
Represents the output of an UpdateItem operation.
Attributes (dict) --
A map of attribute values as they appear before or after the UpdateItem operation, as determined by the ReturnValues parameter.
The Attributes map is only present if ReturnValues was specified as something other than NONE in the request. Each element represents one attribute.
ConsumedCapacity (dict) --
The capacity units consumed by the UpdateItem operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the ReturnConsumedCapacity parameter was specified. For more information, see Provisioned Throughput in the Amazon DynamoDB Developer Guide .
TableName (string) --
The name of the table that was affected by the operation.
CapacityUnits (float) --
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) --
The total number of write capacity units consumed by the operation.
Table (dict) --
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) --
The amount of throughput consumed on each local index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) --
The amount of throughput consumed on each global index affected by the operation.
(string) --
(dict) --
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) --
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) --
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) --
The total number of capacity units consumed on a table or an index.
ItemCollectionMetrics (dict) --
Information about item collections, if any, that were affected by the UpdateItem operation. ItemCollectionMetrics is only returned if the ReturnItemCollectionMetrics parameter was specified. If the table does not have any local secondary indexes, this information is not returned in the response.
Each ItemCollectionMetrics element consists of:
ItemCollectionKey (dict) --
The partition key value of the item collection. This value is the same as the partition key value of the item.
SizeEstimateRangeGB (list) --
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
Waiters
Waiters provide an interface to wait for a resource to reach a specific state. For more information about waiters refer to the Resources Introduction Guide.
Waits until this Table is exists. This method calls DynamoDB.Waiter.table_exists.wait() which polls. DynamoDB.Client.describe_table() every 20 seconds until a successful state is reached. An error is returned after 25 failed checks.
See also: AWS API Documentation
Request Syntax
table.wait_until_exists()
Waits until this Table is not exists. This method calls DynamoDB.Waiter.table_not_exists.wait() which polls. DynamoDB.Client.describe_table() every 20 seconds until a successful state is reached. An error is returned after 25 failed checks.
See also: AWS API Documentation
Request Syntax
table.wait_until_not_exists()