View Source aws_emr_serverless (aws v1.0.4)
Amazon EMR Serverless is a new deployment option for Amazon EMR.
Amazon EMR Serverless provides a serverless runtime environment that simplifies running analytics applications using the latest open source frameworks such as Apache Spark and Apache Hive. With Amazon EMR Serverless, you don’t have to configure, optimize, secure, or operate clusters to run applications with these frameworks.
The API reference to Amazon EMR Serverless is emr-serverless. The emr-serverless prefix is used in the following scenarios:
It is the prefix in the CLI commands for Amazon EMR Serverless. For example,
aws emr-serverless start-job-run.It is the prefix before IAM policy actions for Amazon EMR Serverless. For example,
"Action": ["emr-serverless:StartJobRun"]. For more information, see Policy actions for Amazon EMR Serverless: https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/security_iam_service-with-iam.html#security_iam_service-with-iam-id-based-policies-actions.It is the prefix used in Amazon EMR Serverless service endpoints. For example,
emr-serverless.us-east-2.amazonaws.com.
Summary
Functions
Deletes an application.
Creates and returns a URL that you can use to access the application UIs for a job run.
Stops a specified application and releases initial capacity if configured.
Assigns tags to resources.
Updates a specified application.
Functions
Deletes an application.
An application has to be in a stopped or created state in order to be deleted.get_application(Client, ApplicationId, QueryMap, HeadersMap, Options0)
View SourceCreates and returns a URL that you can use to access the application UIs for a job run.
For jobs in a running state, the application UI is a live user interface such as the Spark or Tez web UI. For completed jobs, the application UI is a persistent application user interface such as the Spark History Server or persistent Tez UI.
The URL is valid for one hour after you generate it. To access the application UI after that hour elapses, you must invoke the API again to generate a new URL.get_dashboard_for_job_run(Client, ApplicationId, JobRunId, QueryMap, HeadersMap)
View Sourceget_dashboard_for_job_run(Client, ApplicationId, JobRunId, QueryMap, HeadersMap, Options0)
View Sourceget_job_run(Client, ApplicationId, JobRunId, QueryMap, HeadersMap)
View Sourceget_job_run(Client, ApplicationId, JobRunId, QueryMap, HeadersMap, Options0)
View Sourcelist_job_runs(Client, ApplicationId, QueryMap, HeadersMap, Options0)
View Sourcelist_tags_for_resource(Client, ResourceArn, QueryMap, HeadersMap, Options0)
View SourceStops a specified application and releases initial capacity if configured.
All scheduled and running jobs must be completed or cancelled before stopping an application.Assigns tags to resources.
A tag is a label that you assign to an Amazon Web Services resource. Each tag consists of a key and an optional value, both of which you define. Tags enable you to categorize your Amazon Web Services resources by attributes such as purpose, owner, or environment. When you have many resources of the same type, you can quickly identify a specific resource based on the tags you've assigned to it.Updates a specified application.
An application has to be in a stopped or created state in order to be updated.