Table of Contents
A low-level client representing AWS Performance Insights (PI)
Amazon RDS Performance Insights enables you to monitor and explore different dimensions of database load based on data captured from a running DB instance. The guide provides detailed information about Performance Insights data types, parameters and errors.
When Performance Insights is enabled, the Amazon RDS Performance Insights API provides visibility into the performance of your DB instance. Amazon CloudWatch provides the authoritative source for AWS service-vended monitoring metrics. Performance Insights offers a domain-specific view of DB load.
DB load is measured as Average Active Sessions. Performance Insights provides the data to API consumers as a two-dimensional time-series dataset. The time dimension provides DB load data for each time point in the queried time range. Each time point decomposes overall load in relation to the requested dimensions, measured at that time point. Examples include SQL, Wait event, User, and Host.
import boto3
client = boto3.client('pi')
These are the available methods:
Check if an operation can be paginated.
For a specific time period, retrieve the top N dimension keys for a metric.
Note
Each response element returns a maximum of 500 bytes. For larger elements, such as SQL statements, only the first 500 bytes are returned.
See also: AWS API Documentation
Request Syntax
response = client.describe_dimension_keys(
ServiceType='RDS',
Identifier='string',
StartTime=datetime(2015, 1, 1),
EndTime=datetime(2015, 1, 1),
Metric='string',
PeriodInSeconds=123,
GroupBy={
'Group': 'string',
'Dimensions': [
'string',
],
'Limit': 123
},
PartitionBy={
'Group': 'string',
'Dimensions': [
'string',
],
'Limit': 123
},
Filter={
'string': 'string'
},
MaxResults=123,
NextToken='string'
)
[REQUIRED]
The AWS service for which Performance Insights will return metrics. The only valid value for ServiceType is RDS .
[REQUIRED]
An immutable, AWS Region-unique identifier for a data source. Performance Insights gathers metrics from this data source.
To use an Amazon RDS instance as a data source, you specify its DbiResourceId value. For example, specify db-FAIHNTYBKTGAUSUZQYPDS2GW4A
[REQUIRED]
The date and time specifying the beginning of the requested time series data. You must specify a StartTime within the past 7 days. The value specified is inclusive , which means that data points equal to or greater than StartTime are returned.
The value for StartTime must be earlier than the value for EndTime .
[REQUIRED]
The date and time specifying the end of the requested time series data. The value specified is exclusive , which means that data points less than (but not equal to) EndTime are returned.
The value for EndTime must be later than the value for StartTime .
[REQUIRED]
The name of a Performance Insights metric to be measured.
Valid values for Metric are:
If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg . For most use cases, you can query db.load.avg only.
The granularity, in seconds, of the data points returned from Performance Insights. A period can be as short as one second, or as long as one day (86400 seconds). Valid values are:
If you don't specify PeriodInSeconds , then Performance Insights chooses a value for you, with a goal of returning roughly 100-200 data points in the response.
[REQUIRED]
A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights returns all dimensions within this group, unless you provide the names of specific dimensions within this group. You can also request that Performance Insights return a limited number of values for a dimension.
The name of the dimension group. Valid values are:
A list of specific dimensions from a dimension group. If this parameter is not present, then it signifies that all of the dimensions in the group were requested, or are present in the response.
Valid values for elements in the Dimensions array are:
The maximum number of items to fetch for this dimension group.
For each dimension specified in GroupBy , specify a secondary dimension to further subdivide the partition keys in the response.
The name of the dimension group. Valid values are:
A list of specific dimensions from a dimension group. If this parameter is not present, then it signifies that all of the dimensions in the group were requested, or are present in the response.
Valid values for elements in the Dimensions array are:
The maximum number of items to fetch for this dimension group.
One or more filters to apply in the request. Restrictions:
dict
Response Syntax
{
'AlignedStartTime': datetime(2015, 1, 1),
'AlignedEndTime': datetime(2015, 1, 1),
'PartitionKeys': [
{
'Dimensions': {
'string': 'string'
}
},
],
'Keys': [
{
'Dimensions': {
'string': 'string'
},
'Total': 123.0,
'Partitions': [
123.0,
]
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
AlignedStartTime (datetime) --
The start time for the returned dimension keys, after alignment to a granular boundary (as specified by PeriodInSeconds ). AlignedStartTime will be less than or equal to the value of the user-specified StartTime .
AlignedEndTime (datetime) --
The end time for the returned dimension keys, after alignment to a granular boundary (as specified by PeriodInSeconds ). AlignedEndTime will be greater than or equal to the value of the user-specified Endtime .
PartitionKeys (list) --
If PartitionBy was present in the request, PartitionKeys contains the breakdown of dimension keys by the specified partitions.
(dict) --
If PartitionBy was specified in a DescribeDimensionKeys request, the dimensions are returned in an array. Each element in the array specifies one dimension.
Dimensions (dict) --
A dimension map that contains the dimension(s) for this partition.
Keys (list) --
The dimension keys that were requested.
(dict) --
An array of descriptions and aggregated values for each dimension within a dimension group.
Dimensions (dict) --
A map of name-value pairs for the dimensions in the group.
Total (float) --
The aggregated metric value for the dimension(s), over the requested time range.
Partitions (list) --
If PartitionBy was specified, PartitionKeys contains the dimensions that were.
NextToken (string) --
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the token, up to the value specified by MaxRecords .
Exceptions
Generate a presigned url given a client, its method, and arguments
The presigned url
Create a paginator for an operation.
Retrieve Performance Insights metrics for a set of data sources, over a time period. You can provide specific dimension groups and dimensions, and provide aggregation and filtering criteria for each group.
Note
Each response element returns a maximum of 500 bytes. For larger elements, such as SQL statements, only the first 500 bytes are returned.
See also: AWS API Documentation
Request Syntax
response = client.get_resource_metrics(
ServiceType='RDS',
Identifier='string',
MetricQueries=[
{
'Metric': 'string',
'GroupBy': {
'Group': 'string',
'Dimensions': [
'string',
],
'Limit': 123
},
'Filter': {
'string': 'string'
}
},
],
StartTime=datetime(2015, 1, 1),
EndTime=datetime(2015, 1, 1),
PeriodInSeconds=123,
MaxResults=123,
NextToken='string'
)
[REQUIRED]
The AWS service for which Performance Insights returns metrics. The only valid value for ServiceType is RDS .
[REQUIRED]
An immutable, AWS Region-unique identifier for a data source. Performance Insights gathers metrics from this data source.
To use a DB instance as a data source, specify its DbiResourceId value. For example, specify db-FAIHNTYBKTGAUSUZQYPDS2GW4A .
[REQUIRED]
An array of one or more queries to perform. Each query must specify a Performance Insights metric, and can optionally specify aggregation and filtering criteria.
A single query to be processed. You must provide the metric to query. If no other parameters are specified, Performance Insights returns all of the data points for that metric. You can optionally request that the data points be aggregated by dimension group ( GroupBy ), and return only those data points that match your criteria (Filter ).
The name of a Performance Insights metric to be measured.
Valid values for Metric are:
If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg . For most use cases, you can query db.load.avg only.
A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights will return all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension.
The name of the dimension group. Valid values are:
A list of specific dimensions from a dimension group. If this parameter is not present, then it signifies that all of the dimensions in the group were requested, or are present in the response.
Valid values for elements in the Dimensions array are:
The maximum number of items to fetch for this dimension group.
One or more filters to apply in the request. Restrictions:
[REQUIRED]
The date and time specifying the beginning of the requested time series data. You can't specify a StartTime that's earlier than 7 days ago. The value specified is inclusive - data points equal to or greater than StartTime will be returned.
The value for StartTime must be earlier than the value for EndTime .
[REQUIRED]
The date and time specifying the end of the requested time series data. The value specified is exclusive - data points less than (but not equal to) EndTime will be returned.
The value for EndTime must be later than the value for StartTime .
The granularity, in seconds, of the data points returned from Performance Insights. A period can be as short as one second, or as long as one day (86400 seconds). Valid values are:
If you don't specify PeriodInSeconds , then Performance Insights will choose a value for you, with a goal of returning roughly 100-200 data points in the response.
dict
Response Syntax
{
'AlignedStartTime': datetime(2015, 1, 1),
'AlignedEndTime': datetime(2015, 1, 1),
'Identifier': 'string',
'MetricList': [
{
'Key': {
'Metric': 'string',
'Dimensions': {
'string': 'string'
}
},
'DataPoints': [
{
'Timestamp': datetime(2015, 1, 1),
'Value': 123.0
},
]
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
AlignedStartTime (datetime) --
The start time for the returned metrics, after alignment to a granular boundary (as specified by PeriodInSeconds ). AlignedStartTime will be less than or equal to the value of the user-specified StartTime .
AlignedEndTime (datetime) --
The end time for the returned metrics, after alignment to a granular boundary (as specified by PeriodInSeconds ). AlignedEndTime will be greater than or equal to the value of the user-specified Endtime .
Identifier (string) --
An immutable, AWS Region-unique identifier for a data source. Performance Insights gathers metrics from this data source.
To use a DB instance as a data source, you specify its DbiResourceId value - for example: db-FAIHNTYBKTGAUSUZQYPDS2GW4A
MetricList (list) --
An array of metric results,, where each array element contains all of the data points for a particular dimension.
(dict) --
A time-ordered series of data points, corresponding to a dimension of a Performance Insights metric.
Key (dict) --
The dimension(s) to which the data points apply.
Metric (string) --
The name of a Performance Insights metric to be measured.
Valid values for Metric are:
If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg . For most use cases, you can query db.load.avg only.
Dimensions (dict) --
The valid dimensions for the metric.
DataPoints (list) --
An array of timestamp-value pairs, representing measurements over a period of time.
(dict) --
A timestamp, and a single numerical value, which together represent a measurement at a particular point in time.
Timestamp (datetime) --
The time, in epoch format, associated with a particular Value .
Value (float) --
The actual value associated with a particular Timestamp .
NextToken (string) --
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the token, up to the value specified by MaxRecords .
Exceptions
Returns an object that can wait for some condition.
The available paginators are: