PI

Client

class PI.Client

A low-level client representing AWS Performance Insights (PI):

client = session.create_client('pi')

These are the available methods:

can_paginate(operation_name)

Check if an operation can be paginated.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Returns
True if the operation can be paginated, False otherwise.
describe_dimension_keys(**kwargs)

For a specific time period, retrieve the top N dimension keys for a metric.

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'
)
Parameters
  • ServiceType (string) --

    [REQUIRED]

    The AWS service for which Performance Insights will return metrics. The only valid value for ServiceType is: RDS

  • Identifier (string) --

    [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: db-FAIHNTYBKTGAUSUZQYPDS2GW4A

  • StartTime (datetime) --

    [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 .

  • EndTime (datetime) --

    [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 .

  • Metric (string) --

    [REQUIRED]

    The name of a Performance Insights metric to be measured.

    Valid values for Metric are:

    • db.load.avg - a scaled representation of the number of active sessions for the database engine.
    • db.sampledload.avg - the raw number of active sessions for the database engine.
  • PeriodInSeconds (integer) --

    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:

    • 1 (one second)
    • 60 (one minute)
    • 300 (five minutes)
    • 3600 (one hour)
    • 86400 (twenty-four hours)

    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.

  • GroupBy (dict) --

    [REQUIRED]

    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.

    • Group (string) -- [REQUIRED]

      The name of the dimension group. Valid values are:

      • db.user
      • db.host
      • db.sql
      • db.sql_tokenized
      • db.wait_event
      • db.wait_event_type
    • Dimensions (list) --

      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:

      • db.user.id
      • db.user.name
      • db.host.id
      • db.host.name
      • db.sql.id
      • db.sql.db_id
      • db.sql.statement
      • db.sql.tokenized_id
      • db.sql_tokenized.id
      • db.sql_tokenized.db_id
      • db.sql_tokenized.statement
      • db.wait_event.name
      • db.wait_event.type
      • db.wait_event_type.name
      • (string) --
    • Limit (integer) --

      The maximum number of items to fetch for this dimension group.

  • PartitionBy (dict) --

    For each dimension specified in GroupBy , specify a secondary dimension to further subdivide the partition keys in the response.

    • Group (string) -- [REQUIRED]

      The name of the dimension group. Valid values are:

      • db.user
      • db.host
      • db.sql
      • db.sql_tokenized
      • db.wait_event
      • db.wait_event_type
    • Dimensions (list) --

      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:

      • db.user.id
      • db.user.name
      • db.host.id
      • db.host.name
      • db.sql.id
      • db.sql.db_id
      • db.sql.statement
      • db.sql.tokenized_id
      • db.sql_tokenized.id
      • db.sql_tokenized.db_id
      • db.sql_tokenized.statement
      • db.wait_event.name
      • db.wait_event.type
      • db.wait_event_type.name
      • (string) --
    • Limit (integer) --

      The maximum number of items to fetch for this dimension group.

  • Filter (dict) --

    One or more filters to apply in the request. Restrictions:

    • Any number of filters by the same dimension, as specified in the GroupBy or Partition parameters.
    • A single filter for any other dimension in this dimension group.
    • (string) --
      • (string) --
  • MaxResults (integer) -- The maximum number of items to return in the response. If more items exist than the specified MaxRecords value, a pagination token is included in the response so that the remaining results can be retrieved.
  • 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 .
Return type

dict

Returns

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.

          • (string) --
            • (string) --
    • 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.

          • (string) --
            • (string) --
        • 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.

          • (float) --
    • 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_presigned_url(ClientMethod, Params=None, ExpiresIn=3600, HttpMethod=None)

Generate a presigned url given a client, its method, and arguments

Parameters
  • ClientMethod (string) -- The client method to presign for
  • Params (dict) -- The parameters normally passed to ClientMethod.
  • ExpiresIn (int) -- The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds)
  • HttpMethod (string) -- The http method to use on the generated url. By default, the http method is whatever is used in the method's model.
Returns

The presigned url

get_paginator(operation_name)

Create a paginator for an operation.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Raises OperationNotPageableError
Raised if the operation is not pageable. You can use the client.can_paginate method to check if an operation is pageable.
Return type
L{botocore.paginate.Paginator}
Returns
A paginator object.
get_resource_metrics(**kwargs)

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.

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'
)
Parameters
  • ServiceType (string) --

    [REQUIRED]

    The AWS service for which Performance Insights will return metrics. The only valid value for ServiceType is: RDS

  • Identifier (string) --

    [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: db-FAIHNTYBKTGAUSUZQYPDS2GW4A

  • MetricQueries (list) --

    [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.

    • (dict) --

      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 ).

      • Metric (string) -- [REQUIRED]

        The name of a Performance Insights metric to be measured.

        Valid values for Metric are:

        • db.load.avg - a scaled representation of the number of active sessions for the database engine.
        • db.sampledload.avg - the raw number of active sessions for the database engine.
      • GroupBy (dict) --

        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.

        • Group (string) -- [REQUIRED]

          The name of the dimension group. Valid values are:

          • db.user
          • db.host
          • db.sql
          • db.sql_tokenized
          • db.wait_event
          • db.wait_event_type
        • Dimensions (list) --

          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:

          • db.user.id
          • db.user.name
          • db.host.id
          • db.host.name
          • db.sql.id
          • db.sql.db_id
          • db.sql.statement
          • db.sql.tokenized_id
          • db.sql_tokenized.id
          • db.sql_tokenized.db_id
          • db.sql_tokenized.statement
          • db.wait_event.name
          • db.wait_event.type
          • db.wait_event_type.name
          • (string) --
        • Limit (integer) --

          The maximum number of items to fetch for this dimension group.

      • Filter (dict) --

        One or more filters to apply in the request. Restrictions:

        • Any number of filters by the same dimension, as specified in the GroupBy parameter.
        • A single filter for any other dimension in this dimension group.
        • (string) --
          • (string) --
  • StartTime (datetime) --

    [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 .

  • EndTime (datetime) --

    [REQUIRED]

    The date and time specifiying 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 .

  • PeriodInSeconds (integer) --

    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:

    • 1 (one second)
    • 60 (one minute)
    • 300 (five minutes)
    • 3600 (one hour)
    • 86400 (twenty-four hours)

    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.

  • MaxResults (integer) -- The maximum number of items to return in the response. If more items exist than the specified MaxRecords value, a pagination token is included in the response so that the remaining results can be retrieved.
  • 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 .
Return type

dict

Returns

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 an Amazon RDS 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, correpsonding 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:

            • db.load.avg - a scaled representation of the number of active sessions for the database engine.
            • db.sampledload.avg - the raw number of active sessions for the database engine.
          • Dimensions (dict) --

            The valid dimensions for the metric.

            • (string) --
              • (string) --
        • 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

get_waiter(waiter_name)

Returns an object that can wait for some condition.

Parameters
waiter_name (str) -- The name of the waiter to get. See the waiters section of the service docs for a list of available waiters.
Returns
The specified waiter object.
Return type
botocore.waiter.Waiter

Client Exceptions

Client exceptions are available on a client instance via the exceptions property. For more detailed instructions and examples on the exact usage of client exceptions, see the error handling user guide.

The available client exceptions are:

class PI.Client.exceptions.InternalServiceError

The request failed due to an unknown error.

Example

try:
  ...
except client.exceptions.InternalServiceError as e:
  print(e.response)
response

The parsed error response. All exceptions have a top level Error key that provides normalized access to common exception atrributes. All other keys are specific to this service or exception class.

Syntax

{
    'Message': 'string',
    'Error': {
        'Code': 'string',
        'Message': 'string'
    }
}

Structure

  • (dict) --

    The request failed due to an unknown error.

    • Message (string) --
    • Error (dict) -- Normalized access to common exception attributes.
      • Code (string) -- An identifier specifying the exception type.
      • Message (string) -- A descriptive message explaining why the exception occured.
class PI.Client.exceptions.InvalidArgumentException

One of the arguments provided is invalid for this request.

Example

try:
  ...
except client.exceptions.InvalidArgumentException as e:
  print(e.response)
response

The parsed error response. All exceptions have a top level Error key that provides normalized access to common exception atrributes. All other keys are specific to this service or exception class.

Syntax

{
    'Message': 'string',
    'Error': {
        'Code': 'string',
        'Message': 'string'
    }
}

Structure

  • (dict) --

    One of the arguments provided is invalid for this request.

    • Message (string) --
    • Error (dict) -- Normalized access to common exception attributes.
      • Code (string) -- An identifier specifying the exception type.
      • Message (string) -- A descriptive message explaining why the exception occured.
class PI.Client.exceptions.NotAuthorizedException

The user is not authorized to perform this request.

Example

try:
  ...
except client.exceptions.NotAuthorizedException as e:
  print(e.response)
response

The parsed error response. All exceptions have a top level Error key that provides normalized access to common exception atrributes. All other keys are specific to this service or exception class.

Syntax

{
    'Message': 'string',
    'Error': {
        'Code': 'string',
        'Message': 'string'
    }
}

Structure

  • (dict) --

    The user is not authorized to perform this request.

    • Message (string) --
    • Error (dict) -- Normalized access to common exception attributes.
      • Code (string) -- An identifier specifying the exception type.
      • Message (string) -- A descriptive message explaining why the exception occured.

Paginators

The available paginators are: