Celery v4.0.1 Documentation
and optimized settings). Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers create a custom task base class add a callback to a group of tasks split a task into several chunks optimize the worker see a list of built-in task states create custom task states set a custom task name default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option. There’s no recommended value, as the optimal number depends0 码力 | 1040 页 | 1.37 MB | 1 年前3Celery v4.0.2 Documentation
and optimized settings). Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers create a custom task base class add a callback to a group of tasks split a task into several chunks optimize the worker see a list of built-in task states create custom task states set a custom task name default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option. There’s no recommended value, as the optimal number depends0 码力 | 1042 页 | 1.37 MB | 1 年前3Celery v4.1.0 Documentation
and optimized settings). Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers create a custom task base class add a callback to a group of tasks split a task into several chunks optimize the worker see a list of built-in task states create custom task states set a custom task name default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option. There’s no recommended value, as the optimal number depends0 码力 | 1057 页 | 1.35 MB | 1 年前3Celery 4.0 Documentation
and optimized settings). Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers create a custom task base class add a callback to a group of tasks split a task into several chunks optimize the worker see a list of built-in task states create custom task states set a custom task name default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option. There’s no recommended value, as the optimal number depends0 码力 | 1042 页 | 1.37 MB | 1 年前3Celery 3.0 Documentation
optimized settings). • Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers practices • create a custom task base class • add a callback to a group of tasks • split a task into several chunks • optimize the worker • see a list of built-in task states • create custom task states • set set a custom task name • track when a task starts • retry a task when it fails • get the id of the current task • know what queue a task was delivered to • see a list of running workers • purge all messages0 码力 | 703 页 | 2.60 MB | 1 年前3Celery v4.1.0 Documentation
optimized settings). • Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers practices • create a custom task base class • add a callback to a group of tasks • split a task into several chunks • optimize the worker • see a list of built-in task states • create custom task states • set set a custom task name • track when a task starts • retry a task when it fails • get the id of the current task • know what queue a task was delivered to • see a list of running workers • purge all messages0 码力 | 714 页 | 2.63 MB | 1 年前3Celery v4.0.1 Documentation
optimized settings). • Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers practices • create a custom task base class • add a callback to a group of tasks • split a task into several chunks • optimize the worker • see a list of built-in task states • create custom task states • set set a custom task name • track when a task starts • retry a task when it fails • get the id of the current task • know what queue a task was delivered to • see a list of running workers • purge all messages0 码力 | 705 页 | 2.63 MB | 1 年前3Celery 4.0 Documentation
optimized settings). • Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers practices • create a custom task base class • add a callback to a group of tasks • split a task into several chunks • optimize the worker • see a list of built-in task states • create custom task states • set set a custom task name • track when a task starts • retry a task when it fails • get the id of the current task • know what queue a task was delivered to • see a list of running workers • purge all messages0 码力 | 707 页 | 2.63 MB | 1 年前3Celery v4.0.2 Documentation
optimized settings). • Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers practices • create a custom task base class • add a callback to a group of tasks • split a task into several chunks • optimize the worker • see a list of built-in task states • create custom task states • set set a custom task name • track when a task starts • retry a task when it fails • get the id of the current task • know what queue a task was delivered to • see a list of running workers • purge all messages0 码力 | 707 页 | 2.63 MB | 1 年前3Celery v4.0.0 Documentation
optimized settings). • Flexible Almost every part of Celery can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers practices • create a custom task base class • add a callback to a group of tasks • split a task into several chunks • optimize the worker • see a list of built-in task states • create custom task states • set set a custom task name • track when a task starts • retry a task when it fails • get the id of the current task • know what queue a task was delivered to • see a list of running workers • purge all messages0 码力 | 701 页 | 2.59 MB | 1 年前3
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