AWS Performance Insights¶

Description¶

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 https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_PerfInsights.html Amazon Aurora User Guide . To learn more about Performance Insights and Amazon RDS DB instances, go to the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_PerfInsights.html Amazon RDS User Guide . To learn more about Performance Insights and Amazon DocumentDB clusters, go to the https://docs.aws.amazon.com/documentdb/latest/devguide/performance-insights.html Amazon DocumentDB Developer Guide .

Usage¶

pi(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments¶

• config

  Optional configuration of credentials, endpoint, and/or region.

  • credentials:
    • creds:
      • access_key_id: AWS access key ID
      • secret_access_key: AWS secret access key
      • session_token: AWS temporary session token
    • profile: The name of a profile to use. If not given, then the default profile is used.
    • anonymous: Set anonymous credentials.
  • endpoint: The complete URL to use for the constructed client.
  • region: The AWS Region used in instantiating the client.
  • close_connection: Immediately close all HTTP connections.
  • timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
  • s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY.
  • sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html
  • use_dual_stack: Set this to true to use the dualstack (IPv4 and IPv6) endpoint for a service, where available, falling back to the regular endpoint when it isn't. Defaults to the AWS_USE_DUALSTACK_ENDPOINT environment variable when unset.

• credentials

  Optional credentials shorthand for the config parameter

  • creds:
    • access_key_id: AWS access key ID
    • secret_access_key: AWS secret access key
    • session_token: AWS temporary session token
  • profile: The name of a profile to use. If not given, then the default profile is used.
  • anonymous: Set anonymous credentials.

• endpoint

  Optional shorthand for complete URL to use for the constructed client.

• region

  Optional shorthand for AWS Region used in instantiating the client.

Value¶

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.

Service syntax¶

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",
    use_dual_stack = "logical"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations¶

Examples¶

svc <- pi()
svc$create_performance_analysis_report(
  Foo = 123
)