Batch / Client / cancel_job

cancel_job

Batch.Client.cancel_job(**kwargs)

Cancels a job in an Batch job queue. Jobs that are in the SUBMITTED or PENDING are canceled. A job in RUNNABLE remains in RUNNABLE until it reaches the head of the job queue. Then the job status is updated to FAILED.

Note

A PENDING job is canceled after all dependency jobs are completed. Therefore, it may take longer than expected to cancel a job in PENDING status.

When you try to cancel an array parent job in PENDING, Batch attempts to cancel all child jobs. The array parent job is canceled when all child jobs are completed.

Jobs that progressed to the STARTING or RUNNING state aren’t canceled. However, the API operation still succeeds, even if no job is canceled. These jobs must be terminated with the TerminateJob operation.

See also: AWS API Documentation

Request Syntax

response = client.cancel_job(
    jobId='string',
    reason='string'
)

Parameters:

• jobId (string) –

  [REQUIRED]

  The Batch job ID of the job to cancel.

• reason (string) –

  [REQUIRED]

  A message to attach to the job that explains the reason for canceling it. This message is returned by future DescribeJobs operations on the job. This message is also recorded in the Batch activity logs.

Return type:

dict

Returns:

Response Syntax

{}

Response Structure

• (dict) –

Exceptions

• Batch.Client.exceptions.ClientException

• Batch.Client.exceptions.ServerException

Examples

This example cancels a job with the specified job ID.

response = client.cancel_job(
    jobId='1d828f65-7a4d-42e8-996d-3b900ed59dc4',
    reason='Cancelling job.',
)

print(response)

Expected Output:

{
    'ResponseMetadata': {
        '...': '...',
    },
}