Celery 1.0 Documentationindex modules | next | Celery 1.0.6 (stable) documentation » Celery - Distributed Task Queue Contents: Getting Started Introduction Broker Installation First steps with Celery First steps with Django asynchronous, rabbitmq, amqp, redis, django, python, webhooks, queue, distributed – Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports RabbitMQ, Stomp, Redis, and most common SQL databases. Robust Using RabbitMQ, celery survives most error scenarios, and your tasks will never be lost. Distributed Runs on one or more machines. Supports0 码力 | 221 页 | 283.64 KB | 1 年前3
Celery 1.0 Documentationasynchronous, rabbitmq, amqp, redis, django, python, webhooks, queue, distributed – Celery is a task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports (stable) 1.1.3 Features Messag- ing Supported brokers include RabbitMQ, Stomp, Redis, and most common SQL databases. Robust Using RabbitMQ, celery survives most error scenarios, and your tasks will never use a distributed caching system, like memcached. For more information about data-locality, please read http://research.microsoft.com/pubs/70001/tr-2003-24.pdf State Since celery is a distributed system0 码力 | 123 页 | 400.69 KB | 1 年前3
Celery 2.0 Documentationdocumentation » http://cloud.github.com/downloads/ask/celery/celery_favicon_128.png Celery - Distributed Task Queue Contents: Getting Started Introduction Broker Installation First steps with Celery asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation RabbitMQ, Stomp, Redis, and most common SQL databases. Robust Using RabbitMQ, celery survives most error scenarios, and your tasks will never be lost. Distributed Runs on one or more machines. Supports0 码力 | 284 页 | 332.71 KB | 1 年前3
Celery 2.0 Documentationqueue, dis- tributed – Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution (stable) 1.1.3 Features Mes- saging Supported brokers include RabbitMQ, Stomp, Redis, and most common SQL databases. Robust Using RabbitMQ, celery survives most error scenarios, and your tasks will never data you know is going to be used. The easiest way to share data between workers is to use a distributed caching system, like memcached. For more information about data-locality, please read http://research0 码力 | 165 页 | 492.43 KB | 1 年前3
Celery 2.1 Documentationdescribes an older version of Celery (2.1). For the latest stable version please go here. Celery - Distributed Task Queue Contents: Getting Started Introduction Broker Installation First steps with Celery asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation RabbitMQ, Stomp, Redis, and most common SQL databases. Robust Using RabbitMQ, celery survives most error scenarios, and your tasks will never be lost. Distributed Runs on one or more machines. Supports0 码力 | 463 页 | 861.69 KB | 1 年前3
Celery 2.1 Documentationwebhooks, queue, dis- tributed – Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution 4 1.1.3 Features Mes- saging Supported brokers include RabbitMQ, Stomp, Redis, and most common SQL databases. Robust Using RabbitMQ, celery survives most error scenarios, and your tasks will never used. The easiest way to share data between workers is to use a distributed cache system, like memcached. See also: The paper Distributed Computing Economics by Jim Gray is an excellent introduction to0 码力 | 285 页 | 1.19 MB | 1 年前3
Celery 2.2 Documentationdescribes an older version of Celery (2.2). For the latest stable version please go here. Celery - Distributed Task Queue Contents: Getting Started Introduction Broker Installation First steps with Celery asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation popular SQL databases. Fault-tolerant Excellent configurable error recovery when using RabbitMQ, ensures your tasks are never lost. scenarios, and your tasks will never be lost. Distributed Runs on0 码力 | 505 页 | 878.66 KB | 1 年前3
Celery 2.3 Documentationwebhooks, queue, dis- tributed – Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution Mes- saging Supported brokers include RabbitMQ, Redis, Beanstalk, MongoDB, CouchDB, and popular SQL databases. Fault- tolerant Excellent configurable error recovery when using RabbitMQ, ensures your used. The easiest way to share data between workers is to use a distributed cache system, like memcached. See also: The paper Distributed Computing Economics by Jim Gray is an excellent introduction to0 码力 | 334 页 | 1.25 MB | 1 年前3
Celery 2.2 Documentationwebhooks, queue, dis- tributed – Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution Mes- saging Supported brokers include RabbitMQ, Redis, Beanstalk, MongoDB, CouchDB, and popular SQL databases. Fault- tolerant Excellent configurable error recovery when using RabbitMQ, ensures your used. The easiest way to share data between workers is to use a distributed cache system, like memcached. See also: The paper Distributed Computing Economics by Jim Gray is an excellent introduction to0 码力 | 314 页 | 1.26 MB | 1 年前3
Celery v5.0.1 Documentationversion of Celery (5.0). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike in seconds, minutes or hours by appending “/s”, “/m” or “/h” to the value. Tasks will be evenly distributed over the specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a0 码力 | 2313 页 | 2.13 MB | 1 年前3
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