Celery 2.3 Documentationbetween each retry. Task Sets A Task set is a task consisting of several sub-tasks. You can find out how many, or if all of the sub-tasks has been executed, and even retrieve the results in order. Progress URLField(_("home page"), blank=True, verify_exists=False) comment = models.TextField(_("comment")) pub_date = models.DateTimeField(_("Published date"), editable=False, auto_add_now=True) is_spam = models fixed by using a workaround. See issue #143. • Debian init scripts: Commands should not run in a sub shell See issue #163. • Debian init scripts: Use the absolute path of celeryd to allow stat See0 码力 | 334 页 | 1.25 MB | 1 年前3
Celery 2.2 Documentationbetween each retry. Task Sets A Task set is a task consisting of several sub-tasks. You can find out how many, or if all of the sub-tasks has been executed, and even retrieve the results in order. Progress URLField(_("home page"), blank=True, verify_exists=False) comment = models.TextField(_("comment")) pub_date = models.DateTimeField(_("Published date"), editable=False, auto_add_now=True) is_spam = models fixed by using a workaround. See issue #143. • Debian init scripts: Commands should not run in a sub shell See issue #163. • Debian init scripts: Use the absolute path of celeryd to allow stat See0 码力 | 314 页 | 1.26 MB | 1 年前3
Celery v4.1.0 DocumentationPrimary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub- millisecond precision you should consider using another transport, like RabbitMQ, or identifies as secret. A configuration setting will be censored if the name contains any of these sub-strings: API, TOKEN, KEY, SECRET, PASS, SIGNATURE, DATABASE Laziness The application instance is 0 码力 | 714 页 | 2.63 MB | 1 年前3
Celery 3.0 DocumentationPrimary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub- millisecond precision you should consider using another transport, like RabbitMQ, or identifies as secret. A configuration setting will be censored if the name contains any of these sub-strings: API, TOKEN, KEY, SECRET, PASS, SIGNATURE, DATABASE 40 Chapter 2. Contents Celery Documentation 0 码力 | 703 页 | 2.60 MB | 1 年前3
Celery v4.0.1 DocumentationPrimary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub- millisecond precision you should consider using another transport, like RabbitMQ, or identifies as secret. A configuration setting will be censored if the name contains any of these sub-strings: API, TOKEN, KEY, SECRET, PASS, SIGNATURE, DATABASE Laziness The application instance is 0 码力 | 705 页 | 2.63 MB | 1 年前3
Celery v4.0.0 DocumentationPrimary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub- millisecond precision you should consider using another transport, like RabbitMQ, or identifies as secret. A configuration setting will be censored if the name contains any of these sub-strings: API, TOKEN, KEY, SECRET, PASS, SIGNATURE, DATABASE 40 Chapter 2. Contents Celery Documentation 0 码力 | 701 页 | 2.59 MB | 1 年前3
Celery 4.0 DocumentationPrimary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub- millisecond precision you should consider using another transport, like RabbitMQ, or identifies as secret. A configuration setting will be censored if the name contains any of these sub-strings: API, TOKEN, KEY, SECRET, PASS, SIGNATURE, DATABASE Laziness The application instance is 0 码力 | 707 页 | 2.63 MB | 1 年前3
Celery v4.0.2 DocumentationPrimary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub- millisecond precision you should consider using another transport, like RabbitMQ, or identifies as secret. A configuration setting will be censored if the name contains any of these sub-strings: API, TOKEN, KEY, SECRET, PASS, SIGNATURE, DATABASE Laziness The application instance is 0 码力 | 707 页 | 2.63 MB | 1 年前3
Celery v4.2.1 DocumentationPrimary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub- millisecond precision you should consider using another transport, like RabbitMQ, or identifies as secret. A configuration setting will be censored if the name contains any of these sub-strings: API, TOKEN, KEY, SECRET, PASS, SIGNATURE, DATABASE Laziness The application instance is 0 码力 | 746 页 | 2.73 MB | 1 年前3
Celery v4.2.0 DocumentationPrimary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq, and optimized settings). • Flexible polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub- millisecond precision you should consider using another transport, like RabbitMQ, or identifies as secret. A configuration setting will be censored if the name contains any of these sub-strings: API, TOKEN, KEY, SECRET, PASS, SIGNATURE, DATABASE Laziness The application instance is 0 码力 | 738 页 | 2.68 MB | 1 年前3
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