EMRServerless

Table of Contents

• EMRServerless
  • Client
  • Paginators

Client

class EMRServerless.Client

A low-level client representing EMR Serverless

Amazon EMR Serverless is a new deployment option for Amazon EMR. 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 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.
• It is the prefix used in Amazon EMR Serverless service endpoints. For example, emr-serverless.us-east-2.amazonaws.com .

import boto3

client = boto3.client('emr-serverless')

These are the available methods:

• can_paginate
• cancel_job_run
• close
• create_application
• delete_application
• get_application
• get_dashboard_for_job_run
• get_job_run
• get_paginator
• get_waiter
• list_applications
• list_job_runs
• list_tags_for_resource
• start_application
• start_job_run
• stop_application
• tag_resource
• untag_resource
• update_application

Paginators

Paginators are available on a client instance via the get_paginator method. For more detailed instructions and examples on the usage of paginators, see the paginators user guide.

The available paginators are:

• ListApplications
• ListJobRuns