Celery 1.0 Documentationexecution settings • Worker: celeryd • Periodic Task Server: celerybeat • Monitor Server: celerymon • Cookbook • Creating Tasks • Running celeryd as a daemon • Unit Testing Django Views - celery.views Events - celery.events Celery Worker Daemon - celery.bin.celeryd Celery Periodic Task Server - celery.bin.celerybeat Celery Initialize - celery.bin.celeryinit jpg The broker pushes tasks to the worker servers. A worker server is a networked machine running celeryd. This can be one or more machines, depending on the workload. The result of the task can be stored0 码力 | 221 页 | 283.64 KB | 2 年前3
Celery 2.2 Documentationjpg The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored to import using the -I option to celeryd: $ celeryd -l info -I tasks, handlers This can be a single, or a comma-separated list of task modules to import when celeryd starts. ## Running the celery worker will run the worker server in the foreground, so we can see what's going on in the terminal: $ celeryd --loglevel=INFO In production you will probably want to run the worker in the background as a daemon0 码力 | 505 页 | 878.66 KB | 2 年前3
Celery 2.0 Documentationexecution settings • Worker: celeryd • Periodic Task Server: celerybeat • Monitor Server: celerymon • Cookbook • Creating Tasks • Running celeryd as a daemon • Tutorials bin.celeryd - Celery Periodic Task Server - celery.bin.celerybeat - celeryev: Curses Event Viewer - celery.bin.celeryev - caqmadm: AMQP API Command-line Shell - celery.bin.camqadm - Celeryd Multi Multi Tool - celery.bin.celeryd_multi Internals - Celery Deprecation Timeline - Internals: The worker - Task Message Protocol - List of Worker Events - Module Index - Internal Module Reference0 码力 | 284 页 | 332.71 KB | 2 年前3
Celery 2.2 Documentationfile 67 3.2 Configuration Directives 68 4 Cookbook 85 4.1 Creating Tasks 85 4.2 Running celeryd as a daemon 86 5 Contributing 91 5.1 Community Code of Conduct 91 5.2 Reporting a Bug 92 ... 228 10.26 celery.apps.beat ..... 230 10.27 celery.bin.base ..... 230 10.28 celery.bin.celeryd ..... 231 10.29 celery.bin.celerybeat ..... 232 10.30 celery.bin.celeryev ..... 233 10.31 celeryctl celeryctl -celery.bin.celeryctl ..... 233 10.32 celery.bin.camqadm ..... 235 10.33 celery.bin.celeryd_multi ..... 237 Internals ..... 241 11.1 Celery Deprecation Timeline ..... 241 11.2 Internals:0 码力 | 314 页 | 1.26 MB | 2 年前3
Celery 2.3 Documentationjpg The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored to import using the -I option to celeryd: $ celeryd -l info -I tasks, handlers This can be a single, or a comma-separated list of task modules to import when celeryd starts. ## Running the celery worker will run the worker server in the foreground, so we can see what's going on in the terminal: $ celeryd --loglevel=INFO In production you will probably want to run the worker in the background as a daemon0 码力 | 530 页 | 900.64 KB | 2 年前3
Celery 2.1 Documentationconfiguration file • Configuration Directives • Cookbook • Creating Tasks • Running Celeryd as a daemon • Community Resources • Resources • News • Contributing • Community worker App: Periodic Task Scheduler - celery.apps.beat Base Command - celery.bin.base celeryd - celery.bin.celeryd Celyery Periodic Task Server - celyery.bin.celerybeat celeryev: Curses Event celeryctl caqmadm: AMQP API Command-line Shell - celery.bin.camqadm Celyrd Multi Tool - celery.bin.celeryd multi ## • Internals Celery Deprecation Timeline Internals: The worker Task Message Protocol0 码力 | 463 页 | 861.69 KB | 2 年前3
Celery 2.5 Documentationjpg The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored import using the -I option to celleryd: $ celeryd -l info -I tasks, handlers This can be a single, or a comma-separated list of task modules to import when celeryd starts. ## Running the celery worker server will run the worker server in the foreground, so we can see what's going on in the terminal: $ celeryd --loglevel=INFO In production you will probably want to run the worker in the background as a daemon0 码力 | 647 页 | 1011.88 KB | 2 年前3
Celery 2.1 Documentationfile 63 3.2 Configuration Directives 64 4 Cookbook 79 4.1 Creating Tasks 79 4.2 Running celeryd as a daemon 80 5 Community Resources 85 5.1 Resources 86 5.2 News 87 6 Contributing Task Scheduler - celery.apps.beat 160 9.25 Base Command - celery.bin.base 160 9.26 celeryd - celery.bin.celeryd 161 9.27 Celery Periodic Task Server - celery.bin.celerybeat 162 9.28 celeryv: Curses 163 9.30 caqmadm: AMQP API Command-line Shell - celery.bin.camqadm 164 9.31 Celeryd Multi Tool - celery.bin.celeryd_multi 166 10 Internals 169 10.1 Celery Deprecation Timeline 169 10.2 Internals:0 码力 | 285 页 | 1.19 MB | 2 年前3
Celery 2.3 Documentationarchitecture. The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored to import using the -I option to celeryd: $ celeryd -l info -I tasks, handlers This can be a single, or a comma separated list of task modules to import when celeryd starts. #### 1.3.3 Running the celery will run the worker server in the foreground, so we can see what's going on in the terminal: $ celeryd --loglevel=INFO In production you will probably want to run the worker in the background as a daemon0 码力 | 334 页 | 1.25 MB | 2 年前3
Celery 2.4 Documentationjpg The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored to import using the -I option to celeryd: $ celeryd -l info -I tasks,handlers This can be a single, or a comma separated list of task modules to import when celeryd starts. ## Running the celery worker will run the worker server in the foreground, so we can see what's going on in the terminal: $ celeryd --loglevel=INFO In production you will probably want to run the worker in the background as a daemon0 码力 | 543 页 | 957.42 KB | 2 年前3
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