'2.0', 'service' => '
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 Amazon Web Services 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.
To learn more about Performance Insights and Amazon Aurora DB instances, go to the Amazon Aurora User Guide .
To learn more about Performance Insights and Amazon RDS DB instances, go to the Amazon RDS User Guide .
To learn more about Performance Insights and Amazon DocumentDB clusters, go to the Amazon DocumentDB Developer Guide .
For a specific time period, retrieve the top N
dimension keys for a metric.
Each response element returns a maximum of 500 bytes. For larger elements, such as SQL statements, only the first 500 bytes are returned.
Get the attributes of the specified dimension group for a DB instance or data source. For example, if you specify a SQL ID, GetDimensionKeyDetails
retrieves the full text of the dimension db.sql.statement
associated with this ID. This operation is useful because GetResourceMetrics
and DescribeDimensionKeys
don\'t support retrieval of large SQL statement text.
Retrieve the metadata for different features. For example, the metadata might indicate that a feature is turned on or off on a specific DB instance.
', 'GetResourceMetrics' => '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.
Each response element returns a maximum of 500 bytes. For larger elements, such as SQL statements, only the first 500 bytes are returned.
Retrieve the dimensions that can be queried for each specified metric type on a specified DB instance.
', 'ListAvailableResourceMetrics' => 'Retrieve metrics of the specified types that can be queried for a specified DB instance.
', ], 'shapes' => [ 'AdditionalMetricsList' => [ 'base' => NULL, 'refs' => [ 'DescribeDimensionKeysRequest$AdditionalMetrics' => 'Additional metrics for the top N
dimension keys. If the specified dimension group in the GroupBy
parameter is db.sql_tokenized
, you can specify per-SQL metrics to get the values for the top N
SQL digests. The response syntax is as follows: "AdditionalMetrics" : { "string" : "string" }
.
A map that contains the value for each additional metric.
', ], ], 'DataPoint' => [ 'base' => 'A timestamp, and a single numerical value, which together represent a measurement at a particular point in time.
', 'refs' => [ 'DataPointsList$member' => NULL, ], ], 'DataPointsList' => [ 'base' => NULL, 'refs' => [ 'MetricKeyDataPoints$DataPoints' => 'An array of timestamp-value pairs, representing measurements over a period of time.
', ], ], 'DescribeDimensionKeysRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDimensionKeysResponse' => [ 'base' => NULL, 'refs' => [], ], 'Description' => [ 'base' => NULL, 'refs' => [ 'ResponseResourceMetric$Description' => 'The description of the metric.
', ], ], 'DetailStatus' => [ 'base' => NULL, 'refs' => [ 'DimensionKeyDetail$Status' => 'The status of the dimension detail data. Possible values include the following:
AVAILABLE
- The dimension detail data is ready to be retrieved.
PROCESSING
- The dimension detail data isn\'t ready to be retrieved because more processing time is required. If the requested detail data has the status PROCESSING
, Performance Insights returns the truncated query.
UNAVAILABLE
- The dimension detail data could not be collected successfully.
The information about a dimension.
', 'refs' => [ 'DimensionDetailList$member' => NULL, ], ], 'DimensionDetailList' => [ 'base' => NULL, 'refs' => [ 'DimensionGroupDetail$Dimensions' => 'The dimensions within a dimension group.
', ], ], 'DimensionGroup' => [ 'base' => 'A logical grouping of Performance Insights metrics for a related subject area. For example, the db.sql
dimension group consists of the following dimensions:
db.sql.id
- The hash of a running SQL statement, generated by Performance Insights.
db.sql.db_id
- Either the SQL ID generated by the database engine, or a value generated by Performance Insights that begins with pi-
.
db.sql.statement
- The full text of the SQL statement that is running, for example, SELECT * FROM employees
.
db.sql_tokenized.id
- The hash of the SQL digest generated by Performance Insights.
Each response element returns a maximum of 500 bytes. For larger elements, such as SQL statements, only the first 500 bytes are returned.
A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights returns all dimensions within this group, unless you provide the names of specific dimensions within this group. You can also request that Performance Insights return a limited number of values for a dimension.
', 'DescribeDimensionKeysRequest$PartitionBy' => 'For each dimension specified in GroupBy
, specify a secondary dimension to further subdivide the partition keys in the response.
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.
', ], ], 'DimensionGroupDetail' => [ 'base' => 'Information about dimensions within a dimension group.
', 'refs' => [ 'DimensionGroupDetailList$member' => NULL, ], ], 'DimensionGroupDetailList' => [ 'base' => NULL, 'refs' => [ 'MetricDimensionGroups$Groups' => 'The available dimension groups for a metric type.
', ], ], 'DimensionKeyDescription' => [ 'base' => 'An object that includes the requested dimension key values and aggregated metric values within a dimension group.
', 'refs' => [ 'DimensionKeyDescriptionList$member' => NULL, ], ], 'DimensionKeyDescriptionList' => [ 'base' => NULL, 'refs' => [ 'DescribeDimensionKeysResponse$Keys' => 'The dimension keys that were requested.
', ], ], 'DimensionKeyDetail' => [ 'base' => 'An object that describes the details for a specified dimension.
', 'refs' => [ 'DimensionKeyDetailList$member' => NULL, ], ], 'DimensionKeyDetailList' => [ 'base' => NULL, 'refs' => [ 'GetDimensionKeyDetailsResponse$Dimensions' => 'The details for the requested dimensions.
', ], ], 'DimensionMap' => [ 'base' => NULL, 'refs' => [ 'DimensionKeyDescription$Dimensions' => 'A map of name-value pairs for the dimensions in the group.
', 'ResponsePartitionKey$Dimensions' => 'A dimension map that contains the dimensions for this partition.
', 'ResponseResourceMetricKey$Dimensions' => 'The valid dimensions for the metric.
', ], ], 'DimensionsMetricList' => [ 'base' => NULL, 'refs' => [ 'ListAvailableResourceDimensionsRequest$Metrics' => 'The types of metrics for which to retrieve dimensions. Valid values include db.load
.
The actual value associated with a particular Timestamp
.
The aggregated metric value for the dimensions, over the requested time range.
', 'MetricValuesList$member' => NULL, ], ], 'ErrorString' => [ 'base' => NULL, 'refs' => [ 'InternalServiceError$Message' => NULL, 'InvalidArgumentException$Message' => NULL, 'NotAuthorizedException$Message' => NULL, ], ], 'FeatureMetadata' => [ 'base' => 'The metadata for a feature. For example, the metadata might indicate that a feature is turned on or off on a specific DB instance.
', 'refs' => [ 'FeatureMetadataMap$value' => NULL, ], ], 'FeatureMetadataMap' => [ 'base' => NULL, 'refs' => [ 'GetResourceMetadataResponse$Features' => 'The metadata for different features. For example, the metadata might indicate that a feature is turned on or off on a specific DB instance.
', ], ], 'FeatureStatus' => [ 'base' => NULL, 'refs' => [ 'FeatureMetadata$Status' => 'The status of the feature on the DB instance. Possible values include the following:
ENABLED
- The feature is enabled on the instance.
DISABLED
- The feature is disabled on the instance.
UNSUPPORTED
- The feature isn\'t supported on the instance.
ENABLED_PENDING_REBOOT
- The feature is enabled on the instance but requires a reboot to take effect.
DISABLED_PENDING_REBOOT
- The feature is disabled on the instance but requires a reboot to take effect.
UNKNOWN
- The feature status couldn\'t be determined.
The time, in epoch format, associated with a particular Value
.
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
.
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
.
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
.
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
.
The date and time specifying the beginning of the requested time series query range. You can\'t specify a StartTime
that is earlier than 7 days ago. By default, Performance Insights has 7 days of retention, but you can extend this range up to 2 years. The value specified is inclusive. Thus, the command returns data points equal to or greater than StartTime
.
The value for StartTime
must be earlier than the value for EndTime
.
The date and time specifying the end of the requested time series query range. The value specified is exclusive. Thus, the command returns data points less than (but not equal to) EndTime
.
The value for EndTime
must be later than the value for StartTime
.
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
.
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
.
The ID for a data source from which to gather dimension data. This ID must be immutable and unique within an Amazon Web Services Region. When a DB instance is the data source, specify its DbiResourceId
value. For example, specify db-ABCDEFGHIJKLMNOPQRSTU1VW2X
.
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 chooses a value for you, with a goal of returning roughly 100-200 data points in the response.
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.
The request failed due to an unknown error.
', 'refs' => [], ], 'InvalidArgumentException' => [ 'base' => 'One of the arguments provided is invalid for this request.
', 'refs' => [], ], 'Limit' => [ 'base' => NULL, 'refs' => [ 'DimensionGroup$Limit' => 'The maximum number of items to fetch for this dimension group.
', ], ], 'ListAvailableResourceDimensionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAvailableResourceDimensionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAvailableResourceMetricsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAvailableResourceMetricsResponse' => [ 'base' => NULL, 'refs' => [], ], 'MaxResults' => [ 'base' => NULL, 'refs' => [ 'DescribeDimensionKeysRequest$MaxResults' => 'The maximum number of items to return in the response. If more items exist than the specified MaxRecords
value, a pagination token is included in the response so that the remaining results can be retrieved.
The maximum number of items to return in the response. If more items exist than the specified MaxRecords
value, a pagination token is included in the response so that the remaining results can be retrieved.
The maximum number of items to return in the response. If more items exist than the specified MaxRecords
value, a pagination token is included in the response so that the remaining results can be retrieved.
The maximum number of items to return. If the MaxRecords
value is less than the number of existing items, the response includes a pagination token.
The available dimension information for a metric type.
', 'refs' => [ 'MetricDimensionsList$member' => NULL, ], ], 'MetricDimensionsList' => [ 'base' => NULL, 'refs' => [ 'ListAvailableResourceDimensionsResponse$MetricDimensions' => 'The dimension information returned for requested metric types.
', ], ], 'MetricKeyDataPoints' => [ 'base' => 'A time-ordered series of data points, corresponding to a dimension of a Performance Insights metric.
', 'refs' => [ 'MetricKeyDataPointsList$member' => NULL, ], ], 'MetricKeyDataPointsList' => [ 'base' => NULL, 'refs' => [ 'GetResourceMetricsResponse$MetricList' => 'An array of metric results, where each array element contains all of the data points for a particular dimension.
', ], ], 'MetricQuery' => [ 'base' => 'A single query to be processed. You must provide the metric to query. If no other parameters are specified, Performance Insights returns all data points for the specified metric. Optionally, you can request that the data points be aggregated by dimension group (GroupBy
), and return only those data points that match your criteria (Filter
).
One or more filters to apply in the request. Restrictions:
Any number of filters by the same dimension, as specified in the GroupBy
or Partition
parameters.
A single filter for any other dimension in this dimension group.
One or more filters to apply in the request. Restrictions:
Any number of filters by the same dimension, as specified in the GroupBy
parameter.
A single filter for any other dimension in this dimension group.
An array of one or more queries to perform. Each query must specify a Performance Insights metric, and can optionally specify aggregation and filtering criteria.
', ], ], 'MetricTypeList' => [ 'base' => NULL, 'refs' => [ 'ListAvailableResourceMetricsRequest$MetricTypes' => 'The types of metrics to return in the response. Valid values in the array include the following:
os
(OS counter metrics) - All engines
db
(DB load metrics) - All engines except for Amazon DocumentDB
db.sql.stats
(per-SQL metrics) - All engines except for Amazon DocumentDB
db.sql_tokenized.stats
(per-SQL digest metrics) - All engines except for Amazon DocumentDB
If PartitionBy
was specified, PartitionKeys
contains the dimensions that were.
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
.
A pagination token that indicates the response didn’t return all available records because MaxRecords
was specified in the previous request. To get the remaining records, specify NextToken
in a separate request with this value.
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
.
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
.
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
.
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
.
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
.
A pagination token that indicates the response didn’t return all available records because MaxRecords
was specified in the previous request. To get the remaining records, specify NextToken
in a separate request with this value.
The user is not authorized to perform this request.
', 'refs' => [], ], 'PeriodAlignment' => [ 'base' => NULL, 'refs' => [ 'GetResourceMetricsRequest$PeriodAlignment' => 'The returned timestamp which is the start or end time of the time periods. The default value is END_TIME
.
An immutable, Amazon Web Services 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
.
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.
The name of the dimension group. Valid values are as follows:
db
- The name of the database to which the client is connected. The following values are permitted:
Aurora PostgreSQL
Amazon RDS PostgreSQL
Aurora MySQL
Amazon RDS MySQL
Amazon RDS MariaDB
Amazon DocumentDB
db.application
- The name of the application that is connected to the database. The following values are permitted:
Aurora PostgreSQL
Amazon RDS PostgreSQL
Amazon DocumentDB
db.host
- The host name of the connected client (all engines).
db.query
- The query that is currently running (only Amazon DocumentDB).
db.query_tokenized
- The digest query (only Amazon DocumentDB).
db.session_type
- The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL).
db.sql
- The text of the SQL statement that is currently running (all engines except Amazon DocumentDB).
db.sql_tokenized
- The SQL digest (all engines except Amazon DocumentDB).
db.user
- The user logged in to the database (all engines except Amazon DocumentDB).
db.wait_event
- The event for which the database backend is waiting (all engines except Amazon DocumentDB).
db.wait_event_type
- The type of event for which the database backend is waiting (all engines except Amazon DocumentDB).
db.wait_state
- The event for which the database backend is waiting (only Amazon DocumentDB).
The name of the dimension group. Performance Insights searches the specified group for the dimension group ID. The following group name values are valid:
db.query
(Amazon DocumentDB only)
db.sql
(Amazon RDS and Aurora only)
The ID of the dimension group from which to retrieve dimension details. For dimension group db.sql
, the group ID is db.sql.id
. The following group ID values are valid:
db.sql.id
for dimension group db.sql
(Aurora and RDS only)
db.query.id
for dimension group db.query
(DocumentDB only)
An immutable identifier for a data source that is unique for an Amazon Web Services Region. 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-ABCDEFGHIJKLMNOPQRSTU1VW2X
.
An immutable identifier for a data source that is unique for an Amazon Web Services Region. Performance Insights gathers metrics from this data source. In the console, the identifier is shown as ResourceID. When you call DescribeDBInstances
, the identifier is returned as DbiResourceId
.
To use a DB instance as a data source, specify its DbiResourceId
value. For example, specify db-ABCDEFGHIJKLMNOPQRSTU1VW2X
.
An immutable identifier for a data source that is unique within an Amazon Web Services Region. Performance Insights gathers metrics from this data source. To use an Amazon RDS DB instance as a data source, specify its DbiResourceId
value. For example, specify db-ABCDEFGHIJKLMNOPQRSTU1VWZ
.
An immutable identifier for a data source that is unique within an Amazon Web Services Region. Performance Insights gathers metrics from this data source. To use an Amazon RDS DB instance as a data source, specify its DbiResourceId
value. For example, specify db-ABCDEFGHIJKLMNOPQRSTU1VWZ
.
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.
The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.
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 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. Valid values are as follows:
Aurora PostgreSQL
Amazon RDS PostgreSQL
Amazon DocumentDB
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. Valid values are as follows:
Aurora PostgreSQL
Amazon RDS PostgreSQL
Aurora MySQL
Amazon RDS MySQL
Amazon RDS MariaDB
Amazon DocumentDB
db.query.id
- The query ID generated by Performance Insights (only Amazon DocumentDB).
db.query.db_id
- The query ID generated by the database (only Amazon DocumentDB).
db.query.statement
- The text of the query that is being run (only Amazon DocumentDB).
db.query.tokenized_id
db.query.tokenized.id
- The query digest ID generated by Performance Insights (only Amazon DocumentDB).
db.query.tokenized.db_id
- The query digest ID generated by Performance Insights (only Amazon DocumentDB).
db.query.tokenized.statement
- The text of the query digest (only Amazon DocumentDB).
db.session_type.name
- The type of the current session (only Amazon DocumentDB).
db.sql.id
- The hash of the full, non-tokenized SQL statement generated by Performance Insights (all engines except Amazon DocumentDB).
db.sql.db_id
- Either the SQL ID generated by the database engine, or a value generated by Performance Insights that begins with pi-
(all engines except Amazon DocumentDB).
db.sql.statement
- The full text of the SQL statement that is running, as in SELECT * FROM employees
(all engines except Amazon DocumentDB)
db.sql.tokenized_id
db.sql_tokenized.id
- The hash of the SQL digest generated by Performance Insights (all engines except Amazon DocumentDB). In the console, db.sql_tokenized.id
is called the Support ID because Amazon Web Services Support can look at this data to help you troubleshoot database issues.
db.sql_tokenized.db_id
- Either the native database ID used to refer to the SQL statement, or a synthetic ID such as pi-2372568224
that Performance Insights generates if the native database ID isn\'t available (all engines except Amazon DocumentDB).
db.sql_tokenized.statement
- The text of the SQL digest, as in SELECT * FROM employees WHERE employee_id = ?
(all engines except Amazon DocumentDB)
db.user.id
- The ID of the user logged in to the database (all engines except Amazon DocumentDB).
db.user.name
- The name of the user logged in to the database (all engines except Amazon DocumentDB).
db.wait_event.name
- The event for which the backend is waiting (all engines except Amazon DocumentDB).
db.wait_event.type
- The type of event for which the backend is waiting (all engines except Amazon DocumentDB).
db.wait_event_type.name
- The name of the event type for which the backend is waiting (all engines except Amazon DocumentDB).
db.wait_state.name
- The event for which the backend is waiting (only Amazon DocumentDB).
A list of dimensions to retrieve the detail data for within the given dimension group. If you don\'t specify this parameter, Performance Insights returns all dimension data within the specified dimension group. Specify dimension names for the following dimension groups:
db.sql
- Specify either the full dimension name db.sql.statement
or the short dimension name statement
(Aurora and RDS only).
db.query
- Specify either the full dimension name db.query.statement
or the short dimension name statement
(DocumentDB only).
If PartitionBy
was specified in a DescribeDimensionKeys
request, the dimensions are returned in an array. Each element in the array specifies one dimension.
If PartitionBy
was present in the request, PartitionKeys
contains the breakdown of dimension keys by the specified partitions.
An object that contains the full name, description, and unit of a metric.
', 'refs' => [ 'ResponseResourceMetricList$member' => NULL, ], ], 'ResponseResourceMetricKey' => [ 'base' => 'An object describing a Performance Insights metric and one or more dimensions for that metric.
', 'refs' => [ 'MetricKeyDataPoints$Key' => 'The dimensions to which the data points apply.
', ], ], 'ResponseResourceMetricList' => [ 'base' => NULL, 'refs' => [ 'ListAvailableResourceMetricsResponse$Metrics' => 'An array of metrics available to query. Each array element contains the full name, description, and unit of the metric.
', ], ], 'ServiceType' => [ 'base' => NULL, 'refs' => [ 'DescribeDimensionKeysRequest$ServiceType' => 'The Amazon Web Services service for which Performance Insights will return metrics. Valid values are as follows:
RDS
DOCDB
The Amazon Web Services service for which Performance Insights returns data. The only valid value is RDS
.
The Amazon Web Services service for which Performance Insights returns metrics.
', 'GetResourceMetricsRequest$ServiceType' => 'The Amazon Web Services service for which Performance Insights returns metrics. Valid values are as follows:
RDS
DOCDB
The Amazon Web Services service for which Performance Insights returns metrics.
', 'ListAvailableResourceMetricsRequest$ServiceType' => 'The Amazon Web Services service for which Performance Insights returns metrics.
', ], ], 'String' => [ 'base' => NULL, 'refs' => [ 'DimensionDetail$Identifier' => 'The identifier of a dimension.
', 'DimensionGroupDetail$Group' => 'The name of the dimension group.
', 'DimensionKeyDetail$Value' => 'The value of the dimension detail data. Depending on the return status, this value is either the full or truncated SQL query for the following dimensions:
db.query.statement
(Amazon DocumentDB)
db.sql.statement
(Amazon RDS and Aurora)
The full name of the dimension. The full name includes the group name and key name. The following values are valid:
db.query.statement
(Amazon DocumentDB)
db.sql.statement
(Amazon RDS and Aurora)
An immutable identifier for a data source that is unique for an Amazon Web Services Region. 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-ABCDEFGHIJKLMNOPQRSTU1VW2X
.
An immutable identifier for a data source that is unique for an Amazon Web Services Region. Performance Insights gathers metrics from this data source. In the console, the identifier is shown as ResourceID. When you call DescribeDBInstances
, the identifier is returned as DbiResourceId
.
The metric type to which the dimension information belongs.
', 'ResponseResourceMetric$Metric' => 'The full name of the metric.
', 'ResponseResourceMetric$Unit' => 'The unit of the metric.
', 'ResponseResourceMetricKey$Metric' => '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.
The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.
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.