mirror of https://github.com/rq/rq.git
Merge branch 'master' of github.com:rq/rq
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commit
4efd81e648
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@ -471,6 +471,31 @@ To learn about workers, see the [workers][w] documentation.
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[w]: {{site.baseurl}}workers/
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## Suspending and Resuming
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Sometimes you may want to suspend RQ to prevent it from processing new jobs.
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A classic example is during the initial phase of a deployment script or in advance
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of putting your site into maintenance mode. This is particularly helpful when
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you have jobs that are relatively long-running and might otherwise be forcibly
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killed during the deploy.
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The `suspend` command stops workers on _all_ queues (in a single Redis database)
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from picking up new jobs. However currently running jobs will continue until
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completion.
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```bash
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# Suspend indefinitely
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rq suspend
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# Suspend for a specific duration (in seconds) then automatically
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# resume work again.
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rq suspend --duration 300
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# Resume work again.
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rq resume
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```
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## Considerations for jobs
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Technically, you can put any Python function call on a queue, but that does not
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@ -601,7 +601,7 @@ class Job:
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return job
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@classmethod
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def fetch_many(cls, job_ids: Iterable[str], connection: 'Redis', serializer=None) -> List['Job']:
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def fetch_many(cls, job_ids: Iterable[str], connection: 'Redis', serializer=None) -> List[Optional['Job']]:
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"""
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Bulk version of Job.fetch
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@ -614,7 +614,7 @@ class Job:
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serializer (Callable): A serializer
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Returns:
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jobs (list[Job]): A list of Jobs instances.
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jobs (list[Optional[Job]]): A list of Jobs instances, elements are None if a job_id does not exist.
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"""
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parsed_ids = [parse_job_id(job_id) for job_id in job_ids]
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with connection.pipeline() as pipeline:
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