pi | R Documentation |
Amazon RDS Performance Insights
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 .
pi(config = list(), credentials = list(), endpoint = NULL, region = NULL)
config |
Optional configuration of credentials, endpoint, and/or region.
|
credentials |
Optional credentials shorthand for the config parameter
|
endpoint |
Optional shorthand for complete URL to use for the constructed client. |
region |
Optional shorthand for AWS Region used in instantiating the client. |
A client for the service. You can call the service's operations using
syntax like svc$operation(...)
, where svc
is the name you've assigned
to the client. The available operations are listed in the
Operations section.
svc <- pi( config = list( credentials = list( creds = list( access_key_id = "string", secret_access_key = "string", session_token = "string" ), profile = "string", anonymous = "logical" ), endpoint = "string", region = "string", close_connection = "logical", timeout = "numeric", s3_force_path_style = "logical", sts_regional_endpoint = "string" ), credentials = list( creds = list( access_key_id = "string", secret_access_key = "string", session_token = "string" ), profile = "string", anonymous = "logical" ), endpoint = "string", region = "string" )
create_performance_analysis_report | Creates a new performance analysis report for a specific time period for the DB instance |
delete_performance_analysis_report | Deletes a performance analysis report |
describe_dimension_keys | For a specific time period, retrieve the top N dimension keys for a metric |
get_dimension_key_details | Get the attributes of the specified dimension group for a DB instance or data source |
get_performance_analysis_report | Retrieves the report including the report ID, status, time details, and the insights with recommendations |
get_resource_metadata | Retrieve the metadata for different features |
get_resource_metrics | Retrieve Performance Insights metrics for a set of data sources over a time period |
list_available_resource_dimensions | Retrieve the dimensions that can be queried for each specified metric type on a specified DB instance |
list_available_resource_metrics | Retrieve metrics of the specified types that can be queried for a specified DB instance |
list_performance_analysis_reports | Lists all the analysis reports created for the DB instance |
list_tags_for_resource | Retrieves all the metadata tags associated with Amazon RDS Performance Insights resource |
tag_resource | Adds metadata tags to the Amazon RDS Performance Insights resource |
untag_resource | Deletes the metadata tags from the Amazon RDS Performance Insights resource |
## Not run:
svc <- pi()
svc$create_performance_analysis_report(
Foo = 123
)
## End(Not run)
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