Celery v4.4.5 DocumentationA single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). Flexible Almost every part of Celery can x(): ... By default, this exponential backoff will also introduce random jitter [https://en.wikipedia.org/wiki/Jitter] to avoid having all the tasks run at the same moment. It will also cap the maximum version 4.4. You can also set autoretry_for, retry_kwargs, retry_backoff, retry_backoff_max and retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,)0 码力 | 1215 页 | 1.44 MB | 1 年前3
Celery v4.4.4 DocumentationA single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). Flexible Almost every part of Celery can x(): ... By default, this exponential backoff will also introduce random jitter [https://en.wikipedia.org/wiki/Jitter] to avoid having all the tasks run at the same moment. It will also cap the maximum version 4.4. You can also set autoretry_for, retry_kwargs, retry_backoff, retry_backoff_max and retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,)0 码力 | 1215 页 | 1.44 MB | 1 年前3
Celery v4.4.6 DocumentationA single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). Flexible Almost every part of Celery can x(): ... By default, this exponential backoff will also introduce random jitter [https://en.wikipedia.org/wiki/Jitter] to avoid having all the tasks run at the same moment. It will also cap the maximum version 4.4. You can also set autoretry_for, retry_kwargs, retry_backoff, retry_backoff_max and retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,)0 码力 | 1216 页 | 1.44 MB | 1 年前3
Celery v4.4.7 DocumentationA single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). Flexible Almost every part of Celery can x(): ... By default, this exponential backoff will also introduce random jitter [https://en.wikipedia.org/wiki/Jitter] to avoid having all the tasks run at the same moment. It will also cap the maximum version 4.4. You can also set autoretry_for, retry_kwargs, retry_backoff, retry_backoff_max and retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,)0 码力 | 1219 页 | 1.44 MB | 1 年前3
Celery 4.4.3 DocumentationA single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). Flexible Almost every part of Celery can x(): ... By default, this exponential backoff will also introduce random jitter [https://en.wikipedia.org/wiki/Jitter] to avoid having all the tasks run at the same moment. It will also cap the maximum version 4.4. You can also set autoretry_for, retry_kwargs, retry_backoff, retry_backoff_max and retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,)0 码力 | 1209 页 | 1.44 MB | 1 年前3
Celery 4.4.1 DocumentationA single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). Flexible Almost every part of Celery can x(): ... By default, this exponential backoff will also introduce random jitter [https://en.wikipedia.org/wiki/Jitter] to avoid having all the tasks run at the same moment. It will also cap the maximum version 4.4. You can also set autoretry_for, retry_kwargs, retry_backoff, retry_backoff_max and retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,)0 码力 | 1188 页 | 1.42 MB | 1 年前3
Celery 4.4.2 DocumentationA single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). Flexible Almost every part of Celery can x(): ... By default, this exponential backoff will also introduce random jitter [https://en.wikipedia.org/wiki/Jitter] to avoid having all the tasks run at the same moment. It will also cap the maximum version 4.4. You can also set autoretry_for, retry_kwargs, retry_backoff, retry_backoff_max and retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,)0 码力 | 1188 页 | 1.42 MB | 1 年前3
Celery 4.4.2 DocumentationA single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible Almost every part of Celery can retry_backoff=True) def x(): ... By default, this exponential backoff will also introduce random jitter to avoid having all the tasks run at the same moment. It will also cap the maximum backoff delay retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,) retry_kwargs = {'max_retries': 5} retry_backoff = True retry_backoff_max = 700 retry_jitter = False0 码力 | 797 页 | 2.85 MB | 1 年前3
Celery 4.4.1 DocumentationA single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible Almost every part of Celery can retry_backoff=True) def x(): ... By default, this exponential backoff will also introduce random jitter to avoid having all the tasks run at the same moment. It will also cap the maximum backoff delay retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,) retry_kwargs = {'max_retries': 5} retry_backoff = True retry_backoff_max = 700 retry_jitter = False0 码力 | 797 页 | 2.85 MB | 1 年前3
Celery v5.0.1 DocumentationA single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). Flexible Almost every part of Celery can x(): ... By default, this exponential backoff will also introduce random jitter [https://en.wikipedia.org/wiki/Jitter] to avoid having all the tasks run at the same moment. It will also cap the maximum version 4.4. You can also set autoretry_for, retry_kwargs, retry_backoff, retry_backoff_max and retry_jitter options in class-based tasks: class BaseTaskWithRetry(Task): autoretry_for = (TypeError,)0 码力 | 2313 页 | 2.13 MB | 1 年前3
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