com/ask/celery/ Keywords task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, dis- tributed – Celery is an open source asynchronous task queue/job queue based on distributed inefficient, and may even cause a deadlock if the worker pool is exhausted. Make your design asynchronous instead, for example by using callbacks. Bad: @task def update_page_info(url): page = fetch_page of Data). Each option has its advantages and disadvantages. json – JSON is supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the

com/ask/celery/ Keywords task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, dis- tributed – Celery is an open source asynchronous task queue/job queue based on distributed inefficient, and may even cause a deadlock if the worker pool is exhausted. Make your design asynchronous instead, for example by using callbacks. Bad: @task def update_page_info(url): page = fetch_page of Data). Each option has its advantages and disadvantages. json – JSON is supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the

python.org/pypi/celery/ Source http://github.com/celery/celery/ Keywords task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, dis- tributed – • Synopsis • Overview • Example installing from source – Using the development version 1.1.1 Synopsis Celery is an open source asynchronous task queue/job queue based on distributed message passing. Focused on real- time operation, but language. It can also operate with other languages using webhooks. There’s also RCelery for the Ruby programming language, and a PHP client. The recommended message broker is RabbitMQ, but support for Redis

com/ask/celery/ Keywords: task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Celery is an open source asynchronous task queue/job queue based on distributed inefficient, and may even cause a deadlock if the worker pool is exhausted. Make your design asynchronous instead, for example by using callbacks. Bad: @task def update_page_info(url): page = fetch_page -data]). Each option has its advantages and disadvantages. json – JSON is supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the

python.org/pypi/celery/ Source: http://github.com/celery/celery/ Keywords: task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Synopsis Overview Example Features Downloading and installing from source Using the development version Synopsis Celery is an open source asynchronous task queue/job queue based on distributed message passing. Focused on real-time operation, but ks.html]. There’s also RCelery [http://leapfrogdevelopment.github.com/rcelery/] for the Ruby programming language, and a PHP client [https://github.com/gjedeer/celery-php]. The recommended message broker

com/ask/celery/ Keywords: task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Celery is an open source asynchronous task queue/job queue based on distributed inefficient, and may even cause a deadlock if the worker pool is exhausted. Make your design asynchronous instead, for example by using callbacks. Bad: @task def update_page_info(url): page = fetch_page -data]). Each option has its advantages and disadvantages. json – JSON is supported in many programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the

ready() False You can wait for the result to complete, but this is rarely used since it turns the asynchronous call into a synchronous one: >>> result.get(timeout=1) 8 In case the task raised an exception local: TERM -> 64052 or stop it: $ celery multi stop w1 -A proj -l info The stop command is asynchronous so it won’t wait for the worker to shutdown. You’ll probably want to use the stopwait command "celery/result.py", line 221, in get return self.backend.wait_for_pending( File "celery/backends/asynchronous.py", line 195, in wait_for_pending return result.maybe_throw(callback=callback, propagate=propagate)

ready() False You can wait for the result to complete, but this is rarely used since it turns the asynchronous call into a synchronous one: >>> result.get(timeout=1) 8 In case the task raised an exception local: TERM -> 64052 or stop it: $ celery multi stop w1 -A proj -l info The stop command is asynchronous so it won’t wait for the worker to shutdown. You’ll probably want to use the stopwait command "celery/result.py", line 221, in get return self.backend.wait_for_pending( File "celery/backends/asynchronous.py", line 195, in wait_for_pending return result.maybe_throw(callback=callback, propagate=propagate)

ready() False You can wait for the result to complete, but this is rarely used since it turns the asynchronous call into a synchronous one: >>> result.get(timeout=1) 8 In case the task raised an exception local: TERM -> 64052 or stop it: $ celery multi stop w1 -A proj -l info The stop command is asynchronous so it won’t wait for the worker to shutdown. You’ll probably want to use the stopwait command "celery/result.py", line 221, in get return self.backend.wait_for_pending( File "celery/backends/asynchronous.py", line 195, in wait_for_pending return result.maybe_throw(callback=callback, propagate=propagate)

ready() False You can wait for the result to complete, but this is rarely used since it turns the asynchronous call into a synchronous one: >>> result.get(timeout=1) 8 In case the task raised an exception local: TERM -> 64052 or stop it: $ celery multi stop w1 -A proj -l info The stop command is asynchronous so it won’t wait for the worker to shutdown. You’ll probably want to use the stopwait command "celery/result.py", line 221, in get return self.backend.wait_for_pending( File "celery/backends/asynchronous.py", line 195, in wait_for_pending return result.maybe_throw(callback=callback, propagate=propagate)