Celery 2.4 Documentation
Callbacks HTTP Callback Tasks (Webhooks) Routing Tasks Monitoring and Management Guide Optimizing Concurrency Signals Configuration and defaults Cookbook Contributing Community Resources Tutorials Frequently configuration (e.g. use your grandma’s laptop to help if the queue is temporarily congested). Concurrency Concurrency is achieved by using multiprocessing, Eventlet, gevent or a mix of these. Scheduling Supports options available, like how many processes you want to use to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, but for now, this should do. For0 码力 | 543 页 | 957.42 KB | 1 年前3Celery 2.2 Documentation
Callbacks HTTP Callback Tasks (Webhooks) Routing Tasks Monitoring and Management Guide Optimizing Concurrency Configuration and defaults Cookbook Contributing Community Resources Tutorials Frequently Asked configuration (e.g. use your grandma’s laptop to help if the queue is temporarily congested). Concurrency Concurrency is achieved by using multiprocessing, Eventlet, gevent or a mix of these. Scheduling Supports options available, like how many processes you want to use to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, but for now, this should do. For0 码力 | 505 页 | 878.66 KB | 1 年前3Celery 2.5 Documentation
HTTP Callback Tasks (Webhooks) Routing Tasks Monitoring and Management Guide Security Optimizing Concurrency Signals Configuration and defaults Django Cookbook Contributing Community Resources Tutorials configuration (e.g. use your grandma’s laptop to help if the queue is temporarily congested). Concurrency Concurrency is achieved by using multiprocessing, Eventlet, gevent or a mix of these. Scheduling Supports options available, like how many processes you want to use to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, but for now, this should do. For0 码力 | 647 页 | 1011.88 KB | 1 年前3Celery 2.3 Documentation
Callbacks HTTP Callback Tasks (Webhooks) Routing Tasks Monitoring and Management Guide Optimizing Concurrency Configuration and defaults Cookbook Contributing Community Resources Tutorials Frequently Asked configuration (e.g. use your grandma’s laptop to help if the queue is temporarily congested). Concurrency Concurrency is achieved by using multiprocessing, Eventlet, gevent or a mix of these. Scheduling Supports options available, like how many processes you want to use to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, but for now, this should do. For0 码力 | 530 页 | 900.64 KB | 1 年前3Celery 2.1 Documentation
central configuration (e.g. use your dads laptop while the queue is temporarily overloaded). Concurrency Tasks are executed in parallel using the multiprocessing module. Scheduling Supports recurring options available, like how many processes you want to use to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, but for now, this should do. For options AMQP options Workers Guide Starting the worker Stopping the worker Restarting the worker Concurrency Persistent revokes Time limits Max tasks per child setting Remote control Inspecting workers0 码力 | 463 页 | 861.69 KB | 1 年前3Celery 3.1 Documentation
HTTP Callback Tasks (Webhooks) Routing Tasks Monitoring and Management Guide Security Optimizing Concurrency Signals Extensions and Bootsteps Configuration and defaults Django Contributing Community Resources (exp), ZeroMQ (exp) CouchDB (exp), SQLAlchemy (exp) Django ORM (exp), Amazon SQS, (exp) and more… Concurrency prefork (multiprocessing), Eventlet, gevent threads/single threaded Result Stores AMQP, Redis celery[msgpack]: for using the msgpack serializer. celery[yaml]: for using the yaml serializer. Concurrency celery[eventlet]: for using the eventlet pool. celery[gevent]: for using the gevent pool. celery[threads]:0 码力 | 887 页 | 1.22 MB | 1 年前3Celery v4.1.0 Documentation
Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing Debugging Concurrency Signals Testing with Celery Extensions and Bootsteps Configuration and defaults Django Contributing broker transports, and much more. It supports Brokers RabbitMQ, Redis, Amazon SQS, and more… Concurrency prefork (multiprocessing), Eventlet, gevent solo (single threaded) Result Stores AMQP, Redis celery[msgpack]: for using the msgpack serializer. celery[yaml]: for using the yaml serializer. Concurrency celery[eventlet]: for using the eventlet pool. celery[gevent]: for using the gevent pool.0 码力 | 1057 页 | 1.35 MB | 1 年前3Celery v4.0.1 Documentation
Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing Debugging Concurrency Signals Testing with Celery Extensions and Bootsteps Configuration and defaults Django Contributing broker transports, and much more. It supports Brokers RabbitMQ, Redis, Amazon SQS, and more… Concurrency prefork (multiprocessing), Eventlet, gevent solo (single threaded) Result Stores AMQP, Redis celery[msgpack]: for using the msgpack serializer. celery[yaml]: for using the yaml serializer. Concurrency celery[eventlet]: for using the eventlet pool. celery[gevent]: for using the gevent pool.0 码力 | 1040 页 | 1.37 MB | 1 年前3Celery v4.0.2 Documentation
Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing Debugging Concurrency Signals Testing with Celery Extensions and Bootsteps Configuration and defaults Django Contributing broker transports, and much more. It supports Brokers RabbitMQ, Redis, Amazon SQS, and more… Concurrency prefork (multiprocessing), Eventlet, gevent solo (single threaded) Result Stores AMQP, Redis celery[msgpack]: for using the msgpack serializer. celery[yaml]: for using the yaml serializer. Concurrency celery[eventlet]: for using the eventlet pool. celery[gevent]: for using the gevent pool.0 码力 | 1042 页 | 1.37 MB | 1 年前3Celery 4.0 Documentation
Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing Debugging Concurrency Signals Testing with Celery Extensions and Bootsteps Configuration and defaults Django Contributing broker transports, and much more. It supports Brokers RabbitMQ, Redis, Amazon SQS, and more… Concurrency prefork (multiprocessing), Eventlet, gevent solo (single threaded) Result Stores AMQP, Redis celery[msgpack]: for using the msgpack serializer. celery[yaml]: for using the yaml serializer. Concurrency celery[eventlet]: for using the eventlet pool. celery[gevent]: for using the gevent pool.0 码力 | 1042 页 | 1.37 MB | 1 年前3
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