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[ aws . pi ]

get-resource-metrics

Description

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

See 'aws help' for descriptions of global parameters.

Synopsis

  get-resource-metrics
--service-type <value>
--identifier <value>
--metric-queries <value>
--start-time <value>
--end-time <value>
[--period-in-seconds <value>]
[--max-results <value>]
[--next-token <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--service-type (string)

The AWS service for which Performance Insights returns metrics. The only valid value for ServiceType is RDS .

Possible values:

  • RDS

--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, specify its DbiResourceId value. For example, specify db-FAIHNTYBKTGAUSUZQYPDS2GW4A .

--metric-queries (list)

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.

(structure)

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)

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.

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.

GroupBy -> (structure)

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)

The name of the dimension group. Valid values are:

  • db - The name of the database to which the client is connected (only Aurora PostgreSQL, RDS PostgreSQL, Aurora MySQL, RDS MySQL, and MariaDB)
  • db.application - The name of the application that is connected to the database (only Aurora PostgreSQL and RDS PostgreSQL)
  • db.host - The host name of the connected client (all engines)
  • db.session_type - The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL)
  • db.sql - The SQL that is currently executing (all engines)
  • db.sql_tokenized - The SQL digest (all engines)
  • db.wait_event - The event for which the database backend is waiting (all engines)
  • db.wait_event_type - The type of event for which the database backend is waiting (all engines)
  • db.user - The user logged in to the database (all engines)

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.application.name - The name of the application that is connected to the database (only Aurora PostgreSQL and RDS PostgreSQL)
  • db.host.id - The host ID of the connected client (all engines)
  • db.host.name - The host name of the connected client (all engines)
  • db.name - The name of the database to which the client is connected (only Aurora PostgreSQL, RDS PostgreSQL, Aurora MySQL, RDS MySQL, and MariaDB)
  • db.session_type.name - The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL)
  • db.sql.id - The SQL ID generated by Performance Insights (all engines)
  • db.sql.db_id - The SQL ID generated by the database (all engines)
  • db.sql.statement - The SQL text that is being executed (all engines)
  • db.sql.tokenized_id
  • db.sql_tokenized.id - The SQL digest ID generated by Performance Insights (all engines)
  • db.sql_tokenized.db_id - SQL digest ID generated by the database (all engines)
  • db.sql_tokenized.statement - The SQL digest text (all engines)
  • db.user.id - The ID of the user logged in to the database (all engines)
  • db.user.name - The name of the user logged in to the database (all engines)
  • db.wait_event.name - The event for which the backend is waiting (all engines)
  • db.wait_event.type - The type of event for which the backend is waiting (all engines)
  • db.wait_event_type.name - The name of the event type for which the backend is waiting (all engines)

(string)

Limit -> (integer)

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

Filter -> (map)

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.

key -> (string)

value -> (string)

Shorthand Syntax:

Metric=string,GroupBy={Group=string,Dimensions=[string,string],Limit=integer},Filter={KeyName1=string,KeyName2=string} ...

JSON Syntax:

[
  {
    "Metric": "string",
    "GroupBy": {
      "Group": "string",
      "Dimensions": ["string", ...],
      "Limit": integer
    },
    "Filter": {"string": "string"
      ...}
  }
  ...
]

--start-time (timestamp)

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 .

--end-time (timestamp)

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 .

--period-in-seconds (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.

--max-results (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.

--next-token (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 .

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Examples

To get resource metrics

This example requests data points for the db.wait_event dimension group, and for the db.wait_event.name dimension within that group. In the response, the relevant data points are grouped by the requested dimension (db.wait_event.name).

Command:

aws pi get-resource-metrics --service-type RDS --identifier db-LKCGOBK26374TPTDFXOIWVCPPM --start-time 1527026400 --end-time 1527080400 --period-in-seconds 300 --metric db.load.avg --metric-queries file://metric-queries.json

The arguments for --metric-queries are stored in a JSON file, metric-queries.json. Here are the contents of that file:

[
    {
        "Metric": "db.load.avg",
        "GroupBy": {
            "Group":"db.wait_event"
        }
    }
]

Output:

{
    "AlignedEndTime": 1.5270804E9,
    "AlignedStartTime": 1.5270264E9,
    "Identifier": "db-LKCGOBK26374TPTDFXOIWVCPPM",
    "MetricList": [
        {
            "Key": {
                "Metric": "db.load.avg"
            },
            "DataPoints": [
                {
                    "Timestamp": 1527026700.0,
                    "Value": 1.3533333333333333
                },
                {
                    "Timestamp": 1527027000.0,
                    "Value": 0.88
                },
                <...remaining output omitted...>
            ]
        },
        {
            "Key": {
                "Metric": "db.load.avg",
                "Dimensions": {
                    "db.wait_event.name": "wait/synch/mutex/innodb/aurora_lock_thread_slot_futex"
                }
            },
            "DataPoints": [
                {
                    "Timestamp": 1527026700.0,
                    "Value": 0.8566666666666667
                },
                {
                    "Timestamp": 1527027000.0,
                    "Value": 0.8633333333333333
                },
                <...remaining output omitted...>
            ],
        },
            <...remaining output omitted...>
    ]
}

Output

AlignedStartTime -> (timestamp)

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 -> (timestamp)

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.

(structure)

A time-ordered series of data points, corresponding to a dimension of a Performance Insights metric.

Key -> (structure)

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.

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 -> (map)

The valid dimensions for the metric.

key -> (string)

value -> (string)

DataPoints -> (list)

An array of timestamp-value pairs, representing measurements over a period of time.

(structure)

A timestamp, and a single numerical value, which together represent a measurement at a particular point in time.

Timestamp -> (timestamp)

The time, in epoch format, associated with a particular Value .

Value -> (double)

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 .