For a specific time period, retrieve the top N
dimension keys for a
metric.
pi_describe_dimension_keys(ServiceType, Identifier, StartTime, EndTime,
Metric, PeriodInSeconds, GroupBy, PartitionBy, Filter, MaxResults,
NextToken)
[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: db-FAIHNTYBKTGAUSUZQYPDS2GW4A
[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
.
[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.
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.
[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.
For each dimension specified in GroupBy
, specify a secondary dimension
to further subdivide the partition keys in the response.
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.
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.
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
.
svc$describe_dimension_keys( ServiceType = "RDS", Identifier = "string", StartTime = as.POSIXct( "2015-01-01" ), EndTime = as.POSIXct( "2015-01-01" ), Metric = "string", PeriodInSeconds = 123, GroupBy = list( Group = "string", Dimensions = list( "string" ), Limit = 123 ), PartitionBy = list( Group = "string", Dimensions = list( "string" ), Limit = 123 ), Filter = list( "string" ), MaxResults = 123, NextToken = "string" )