We use cookies and similar tools to enhance your experience, provide our services, deliver relevant advertising, and make improvements. Approved third parties also use these tools to help us deliver advertising and provide certain site features.
Essential cookies are necessary to provide our site and services and cannot be deactivated. They are usually set in response to your actions on the site, such as setting your privacy preferences, signing in, or filling in forms.
Performance cookies provide anonymous statistics about how customers navigate our site so we can improve site experience and performance. Approved third parties may perform analytics on our behalf, but they cannot use the data for their own purposes.
Functional cookies help us provide useful site features, remember your preferences, and display relevant content. Approved third parties may set these cookies to provide certain site features. If you do not allow these cookies, then some or all of these services may not function properly.
Advertising cookies may be set through our site by us or our advertising partners and help us deliver relevant marketing content. If you do not allow these cookies, you will experience less relevant advertising.
Blocking some types of cookies may impact your experience of our sites. You may review and change your choices at any time by clicking Cookie preferences in the footer of this site. We and selected third-parties use cookies or similar technologies as specified in the AWS Cookie Notice.
delete_job_queue
(**kwargs)¶Deletes the specified job queue. You must first disable submissions for a queue with the UpdateJobQueue operation. All jobs in the queue are eventually terminated when you delete a job queue. The jobs are terminated at a rate of about 16 jobs each second.
It's not necessary to disassociate compute environments from a queue before submitting a DeleteJobQueue
request.
See also: AWS API Documentation
Request Syntax
response = client.delete_job_queue(
jobQueue='string'
)
[REQUIRED]
The short name or full Amazon Resource Name (ARN) of the queue to delete.
{}
Response Structure
Exceptions
Batch.Client.exceptions.ClientException
Batch.Client.exceptions.ServerException
Examples
This example deletes the GPGPU job queue.
response = client.delete_job_queue(
jobQueue='GPGPU',
)
print(response)
Expected Output:
{
'ResponseMetadata': {
'...': '...',
},
}