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describe_dimension_keys(end_time, group_by, identifier, metric, service_type, start_time)
describe_dimension_keys(end_time, group_by, identifier, metric, service_type, start_time, params::Dict{String,<:Any})

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.

Arguments

• end_time: 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.
• group_by: 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.
• identifier: 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
• 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. 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.
• service_type: The AWS service for which Performance Insights will return metrics. The only valid value for ServiceType is RDS.
• start_time: 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.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "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.
• "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.
• "NextToken": 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.
• "PartitionBy": For each dimension specified in GroupBy, specify a secondary dimension to further subdivide the partition keys in the response.
• "PeriodInSeconds": 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.

get_dimension_key_details(group, group_identifier, identifier, service_type)
get_dimension_key_details(group, group_identifier, identifier, service_type, params::Dict{String,<:Any})

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.

Arguments

• group: The name of the dimension group. The only valid value is db.sql. Performance Insights searches the specified group for the dimension group ID.
• group_identifier: The ID of the dimension group from which to retrieve dimension details. For dimension group db.sql, the group ID is db.sql.id.
• identifier: The ID for a data source from which to gather dimension data. This ID must be immutable and unique within an AWS Region. When a DB instance is the data source, specify its DbiResourceId value. For example, specify db-ABCDEFGHIJKLMNOPQRSTU1VW2X.
• service_type: The AWS service for which Performance Insights returns data. The only valid value is RDS.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "RequestedDimensions": A list of dimensions to retrieve the detail data for within the given dimension group. For the dimension group db.sql, specify either the full dimension name db.sql.statement or the short dimension name statement. If you don't specify this parameter, Performance Insights returns all dimension data within the specified dimension group.

get_resource_metrics(end_time, identifier, metric_queries, service_type, start_time)
get_resource_metrics(end_time, identifier, metric_queries, service_type, start_time, params::Dict{String,<:Any})

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.

Arguments

• end_time: 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.
• identifier: 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: 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.
• service_type: The AWS service for which Performance Insights returns metrics. The only valid value for ServiceType is RDS.
• start_time: 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.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "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.
• "NextToken": 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.
• "PeriodInSeconds": 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.