MachineLearning / Client / describe_data_sources
describe_data_sources#
- MachineLearning.Client.describe_data_sources(**kwargs)#
Returns a list of
DataSource
that match the search criteria in the request.See also: AWS API Documentation
Request Syntax
response = client.describe_data_sources( FilterVariable='CreatedAt'|'LastUpdatedAt'|'Status'|'Name'|'DataLocationS3'|'IAMUser', EQ='string', GT='string', LT='string', GE='string', LE='string', NE='string', Prefix='string', SortOrder='asc'|'dsc', NextToken='string', Limit=123 )
- Parameters:
FilterVariable (string) –
Use one of the following variables to filter a list of
DataSource
:CreatedAt
- Sets the search criteria toDataSource
creation dates.Status
- Sets the search criteria toDataSource
statuses.Name
- Sets the search criteria to the contents ofDataSource
Name
.DataUri
- Sets the search criteria to the URI of data files used to create theDataSource
. The URI can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.IAMUser
- Sets the search criteria to the user account that invoked theDataSource
creation.
EQ (string) – The equal to operator. The
DataSource
results will haveFilterVariable
values that exactly match the value specified withEQ
.GT (string) – The greater than operator. The
DataSource
results will haveFilterVariable
values that are greater than the value specified withGT
.LT (string) – The less than operator. The
DataSource
results will haveFilterVariable
values that are less than the value specified withLT
.GE (string) – The greater than or equal to operator. The
DataSource
results will haveFilterVariable
values that are greater than or equal to the value specified withGE
.LE (string) – The less than or equal to operator. The
DataSource
results will haveFilterVariable
values that are less than or equal to the value specified withLE
.NE (string) – The not equal to operator. The
DataSource
results will haveFilterVariable
values not equal to the value specified withNE
.Prefix (string) –
A string that is found at the beginning of a variable, such as
Name
orId
.For example, a
DataSource
could have theName
2014-09-09-HolidayGiftMailer
. To search for thisDataSource
, selectName
for theFilterVariable
and any of the following strings for thePrefix
:2014-09
2014-09-09
2014-09-09-Holiday
SortOrder (string) –
A two-value parameter that determines the sequence of the resulting list of
DataSource
.asc
- Arranges the list in ascending order (A-Z, 0-9).dsc
- Arranges the list in descending order (Z-A, 9-0).
Results are sorted by
FilterVariable
.NextToken (string) – The ID of the page in the paginated results.
Limit (integer) – The maximum number of
DataSource
to include in the result.
- Return type:
dict
- Returns:
Response Syntax
{ 'Results': [ { 'DataSourceId': 'string', 'DataLocationS3': 'string', 'DataRearrangement': 'string', 'CreatedByIamUser': 'string', 'CreatedAt': datetime(2015, 1, 1), 'LastUpdatedAt': datetime(2015, 1, 1), 'DataSizeInBytes': 123, 'NumberOfFiles': 123, 'Name': 'string', 'Status': 'PENDING'|'INPROGRESS'|'FAILED'|'COMPLETED'|'DELETED', 'Message': 'string', 'RedshiftMetadata': { 'RedshiftDatabase': { 'DatabaseName': 'string', 'ClusterIdentifier': 'string' }, 'DatabaseUserName': 'string', 'SelectSqlQuery': 'string' }, 'RDSMetadata': { 'Database': { 'InstanceIdentifier': 'string', 'DatabaseName': 'string' }, 'DatabaseUserName': 'string', 'SelectSqlQuery': 'string', 'ResourceRole': 'string', 'ServiceRole': 'string', 'DataPipelineId': 'string' }, 'RoleARN': 'string', 'ComputeStatistics': True|False, 'ComputeTime': 123, 'FinishedAt': datetime(2015, 1, 1), 'StartedAt': datetime(2015, 1, 1) }, ], 'NextToken': 'string' }
Response Structure
(dict) –
Represents the query results from a DescribeDataSources operation. The content is essentially a list of
DataSource
.Results (list) –
A list of
DataSource
that meet the search criteria.(dict) –
Represents the output of the
GetDataSource
operation.The content consists of the detailed metadata and data file information and the current status of the
DataSource
.DataSourceId (string) –
The ID that is assigned to the
DataSource
during creation.DataLocationS3 (string) –
The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a
DataSource
.DataRearrangement (string) –
A JSON string that represents the splitting and rearrangement requirement used when this
DataSource
was created.CreatedByIamUser (string) –
The AWS user account from which the
DataSource
was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.CreatedAt (datetime) –
The time that the
DataSource
was created. The time is expressed in epoch time.LastUpdatedAt (datetime) –
The time of the most recent edit to the
BatchPrediction
. The time is expressed in epoch time.DataSizeInBytes (integer) –
The total number of observations contained in the data files that the
DataSource
references.NumberOfFiles (integer) –
The number of data files referenced by the
DataSource
.Name (string) –
A user-supplied name or description of the
DataSource
.Status (string) –
The current status of the
DataSource
. This element can have one of the following values:PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a
DataSource
.INPROGRESS - The creation process is underway.
FAILED - The request to create a
DataSource
did not run to completion. It is not usable.COMPLETED - The creation process completed successfully.
DELETED - The
DataSource
is marked as deleted. It is not usable.
Message (string) –
A description of the most recent details about creating the
DataSource
.RedshiftMetadata (dict) –
Describes the
DataSource
details specific to Amazon Redshift.RedshiftDatabase (dict) –
Describes the database details required to connect to an Amazon Redshift database.
DatabaseName (string) –
The name of a database hosted on an Amazon Redshift cluster.
ClusterIdentifier (string) –
The ID of an Amazon Redshift cluster.
DatabaseUserName (string) –
A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster. The username should have sufficient permissions to execute the
RedshiftSelectSqlQuery
query. The username should be valid for an Amazon Redshift USER.SelectSqlQuery (string) –
The SQL query that is specified during CreateDataSourceFromRedshift. Returns only if
Verbose
is true in GetDataSourceInput.
RDSMetadata (dict) –
The datasource details that are specific to Amazon RDS.
Database (dict) –
The database details required to connect to an Amazon RDS.
InstanceIdentifier (string) –
The ID of an RDS DB instance.
DatabaseName (string) –
The name of a database hosted on an RDS DB instance.
DatabaseUserName (string) –
The username to be used by Amazon ML to connect to database on an Amazon RDS instance. The username should have sufficient permissions to execute an
RDSSelectSqlQuery
query.SelectSqlQuery (string) –
The SQL query that is supplied during CreateDataSourceFromRDS. Returns only if
Verbose
is true inGetDataSourceInput
.ResourceRole (string) –
The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3. For more information, see Role templates for data pipelines.
ServiceRole (string) –
The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3. For more information, see Role templates for data pipelines.
DataPipelineId (string) –
The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3. You can use the ID to find details about the instance in the Data Pipeline console.
RoleARN (string) –
The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename.
ComputeStatistics (boolean) –
The parameter is
true
if statistics need to be generated from the observation data.ComputeTime (integer) –
Long integer type that is a 64-bit signed number.
FinishedAt (datetime) –
A timestamp represented in epoch time.
StartedAt (datetime) –
A timestamp represented in epoch time.
NextToken (string) –
An ID of the next page in the paginated results that indicates at least one more page follows.
Exceptions
MachineLearning.Client.exceptions.InvalidInputException
MachineLearning.Client.exceptions.InternalServerException