your dads laptop while the queue is temporarily overloaded). Concur- rency Tasks are executed in parallel using the multiprocessing module. Schedul- ing Supports recurring tasks like cron, or specifying result store backend. You can wait for the result, retrieve it later, or ignore it. Result Stores Database, MongoDB, Redis, Tokyo Tyrant, AMQP (high performance). Web- hooks Your tasks can also be HTTP That’s it. There are more options available, like how many processes you want to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, but for now

Configuration and defaults Example configuration file Concurrency settings Task result backend settings Database backend settings AMQP backend settings Cache backend settings Tokyo Tyrant backend settings Redis celeryd as a daemon Unit Testing Tutorials External tutorials and resources Using Celery with Redis/Database as the messaging queue. Tutorial: Creating a click counter using carrot and celery Frequently Asked your dads laptop while the queue is temporarily overloaded). Concurrency Tasks are executed in parallel using the multiprocessing module. Scheduling Supports recurring tasks like cron, or specifying

result store backend. You can wait for the result, retrieve it later, or ignore it. Result Stores Database, MongoDB, Redis, Tokyo Tyrant, Cassandra, or AMQP (message notification). Web- hooks Your tasks it. There are more 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 what you can do when you have results: >>> result.ready() # returns True if the task has finished processing. False >>> result.result # task is not ready, so no return value yet. None >>> result.get() #

your dads laptop while the queue is temporarily overloaded). Concur- rency Tasks are executed in parallel using the multiprocessing module. Schedul- ing Supports recurring tasks like cron, or specifying result store backend. You can wait for the result, retrieve it later, or ignore it. Result Stores Database, MongoDB, Redis, Tokyo Tyrant, AMQP (high performance). Web- hooks Your tasks can also be HTTP That’s it. There are more options available, like how many processes you want to process work in parallel (the CELERY_CONCURRENCY setting), and we could use a persistent result store backend, but for now

result store backend. You can wait for the result, retrieve it later, or ignore it. Result Stores Database, MongoDB, Redis, Tokyo Tyrant, Cassandra, or AMQP (message notification). Webhooks Your tasks can it. There are more 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 you can do when you have results: >>> result.ready() # returns True if the task has finished processing. False >>> result.result # task is not ready, so no return value yet. None >>> result.get()

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and necessary, but they can make development easier, and sometimes they add important hooks like closing database connections at fork(2). Quickjump I want to ⟶ get the return value of a task use logging from Instructions Using RabbitMQ Using Redis Experimental Transports Using SQLAlchemy Using the Django Database Using MongoDB Using Amazon SQS Using CouchDB Using Beanstalk Using IronMQ Broker Overview This

Configuration and defaults Example configuration file Concurrency settings Task result backend settings Database backend settings AMQP backend settings Cache backend settings Tokyo Tyrant backend settings Redis celeryd as a daemon Tutorials Tutorials and resources from the community Using Celery with Redis/Database as the messaging queue. Tutorial: Creating a click counter using carrot and celery Frequently Asked your dads laptop while the queue is temporarily overloaded). Concurrency Tasks are executed in parallel using the multiprocessing module. Scheduling Supports recurring tasks like cron, or specifying

Documentation Installation Brokers Using RabbitMQ Using Redis Using SQLAlchemy Using the Django Database Using MongoDB Using CouchDB Using Beanstalk First steps with Celery Choosing your Broker Creating result store backend. You can wait for the result, retrieve it later, or ignore it. Result Stores Database, MongoDB, Redis, Tokyo Tyrant, Cassandra, or AMQP (message notification). Webhooks Your tasks can several message transport alternatives. Using RabbitMQ Using Redis Using SQLAlchemy Using the Django Database Using MongoDB Using CouchDB Using Beanstalk © Copyright 2009-2011, Ask Solem & Contributors. index

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and necessary, but they can make development easier, and sometimes they add important hooks like closing database connections at fork(2). Quickjump I want to • get the return value of a task • use logging from -U celery[redis] Configuration Configuration is easy, just configure the location of your Redis database: BROKER_URL = 'redis://localhost:6379/0' Where the URL is in the format of: redis://:passwor

. . . . . . . . . . . . . . . . . . . . . . . 121 7 Tutorials 127 7.1 Using Celery with Redis/Database as the messaging queue. . . . . . . . . . . . . . . . . . . . . . . 127 7.2 Debugging Tasks Remotely result store backend. You can wait for the result, retrieve it later, or ignore it. Result Stores Database, MongoDB, Redis, Tokyo Tyrant, Cassandra, or AMQP (message notification). Web- hooks Your tasks Configuration Configuration is easy, set the transport, and configure the location of your Redis database: BROKER_URL = "redis://localhost:6379/0" Where the URL is in the format of: redis://userid:p