Job run states - Amazon EMR
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Job run states

When you submit a job run to an Amazon EMR Serverless job queue, the job run enters the SUBMITTED state. A job state's passes from SUBMITTED through RUNNING until it reaches FAILED, SUCCESS, or CANCELLING.

Job runs can have the following states:

State Description
Submitted The initial job state when you submit a job run to EMR Serverless. The job waits to be scheduled for the application. EMR Serverless begins to prioritize and schedule the job run.
Pending The scheduler is evaluating the job run to prioritize and schedule the run for the application.
Scheduled EMR Serverless has scheduled the job run for the application, and is allocating resources to execute the job.
Running EMR Serverless has allocated the resources that the job initially needs, and the job is running in the application. In Spark applications, this means that the Spark driver process is in the running state.
Failed EMR Serverless failed to submit the job run to the application, or it completed unsuccessfully. See StateDetails for additional information about this job failure.
Success The job run has completed successfully.
Cancelling The CancelJobRun API has requested job run cancellation, or the job run has timed out. EMR Serverless is trying to cancel the job in the application and release the resources.
Cancelled The job run was cancelled successfully, and the resources that it used have been released.