Celery 2.1 DocumentationContrib: Abortable tasks - celery.contrib.abortable Events - celery.events In-memory Representation of Cluster State - celery.events.state App: Worker Node - celery.apps.worker App: Periodic Task Scheduler - Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable0 码力 | 463 页 | 861.69 KB | 1 年前3
Celery 2.2 DocumentationCelery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more uses a default transaction isolation level that is not suitable for polling tables for changes. In MySQL the default transaction isolation level is REPEATABLE-READ, which means the transaction will not see those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable0 码力 | 505 页 | 878.66 KB | 1 年前3
Celery 2.0 DocumentationContrib: Abortable tasks - celery.contrib.abortable Events - celery.events In-memory Representation of Cluster State - celery.events.state Celery Worker Daemon - celery.bin.celeryd Celery Periodic Task Server those replies, but since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply. Therefore the client has a configurable include: # sqlite (filename) CELERY_RESULT_DBURI = "sqlite:///celerydb.sqlite" # mysql CELERY_RESULT_DBURI = "mysql://scott:tiger@localhost/foo" # postgresql CELERY_RESULT_DBURI = "postgresql://s0 码力 | 284 页 | 332.71 KB | 1 年前3
Celery 2.3 DocumentationCelery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more uses a default transaction isolation level that is not suitable for polling tables for changes. In MySQL the default transaction isolation level is REPEATABLE-READ, which means the transaction will not see those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable0 码力 | 530 页 | 900.64 KB | 1 年前3
Celery 2.4 Documentationhtml#database-urls], examples: # sqlite (filename) BROKER_HOST = "sqlite:///celerydb.sqlite" # mysql BROKER_HOST = "mysql://scott:tiger@localhost/foo" # postgresql BROKER_HOST = "postgresql://scott:tiger@localhost/mydatabase" INSTALLED_APPS: INSTALLED_APPS = ("djkombu", ) 3. Verify your database settings: DATABASE_ENGINE = "mysql" DATABASE_NAME = "mydb" DATABASE_USER = "myuser" DATABASE_PASSWORD = "secret" The above is just an Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more0 码力 | 543 页 | 957.42 KB | 1 年前3
Celery 2.5 Documentationhtml#database-urls]‘s: # sqlite (filename) BROKER_URL = "sqla+sqlite:///celerydb.sqlite" # mysql BROKER_URL = "sqla+mysql://scott:tiger@localhost/foo" # postgresql BROKER_URL = "sqla+postgresql://scott:ti Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more CELERY_TASK_RESULT_EXPIRES setting. By default this is set to expire after 1 day: if you have a very busy cluster you should lower this value. For a list of options supported by the AMQP result backend, please0 码力 | 647 页 | 1011.88 KB | 1 年前3
Celery 2.1 Documentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 9.22 In-memory Representation of Cluster State - celery.events.state . . . . . . . . . . . . . . . . . . . . 156 9.23 App: Worker Node - Celery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers 2.4. Workers Guide 35 Celery Documentation,0 码力 | 285 页 | 1.19 MB | 1 年前3
Celery 2.3 DocumentationCelery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more uses a default transaction isolation level that is not suitable for polling tables for changes. In MySQL the default transaction isolation level is REPEATABLE-READ, which means the transaction will not see those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable0 码力 | 334 页 | 1.25 MB | 1 年前3
Celery 2.2 DocumentationCelery takes advantage of AMQPs flexible routing model. Tasks can be routed to specific servers, or a cluster of servers by binding workers to different queues. A single worker node can be bound to one or more uses a default transaction isolation level that is not suitable for polling tables for changes. In MySQL the default transaction isolation level is REPEATABLE-READ, which means the transaction will not see those replies. Since there’s no central authority to know how many workers are available in the cluster, there is also no way to estimate how many workers may send a reply, so the client has a configurable0 码力 | 314 页 | 1.26 MB | 1 年前3
Celery 3.1 Documentationdevelopment workers can be configured to used by built-in and external tools to tell you what your cluster is doing – in real-time. Read more…. Workflows Simple and complex workflows can be composed using {'fanout_patterns': True} Note that this change is backward incompatible so all workers in the cluster must have this option enabled, or else they will not be able to communicate. This option will be html#database-urls]: # sqlite (filename) BROKER_URL = 'sqla+sqlite:///celerydb.sqlite' # mysql BROKER_URL = 'sqla+mysql://scott:tiger@localhost/foo' # postgresql BROKER_URL = 'sqla+postgresql://scott:tig0 码力 | 887 页 | 1.22 MB | 1 年前3
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