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 1 Concurrency with Eventlet Introduction The Eventlet homepage describes it as; A concurrent networking library for Python that allows you to change how you run your code, not how you write it. • It

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 1 Concurrency with Eventlet Introduction The Eventlet homepage describes it as; A concurrent networking library for Python that allows you to change how you run your code, not how you write it. • It

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 Eventlet Introduction The Eventlet [http://eventlet.net] homepage describes it as; A concurrent networking library for Python that allows you to change how you run your code, not how you write it. It uses

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 Eventlet Introduction The Eventlet [http://eventlet.net] homepage describes it as; A concurrent networking library for Python that allows you to change how you run your code, not how you write it. It uses

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 inefficient, and may even cause a deadlock if the worker pool is exhausted. Make your design asynchronous instead, for example by using callbacks. Bad: 32 Chapter 2. User Guide Celery Documentation

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 Eventlet Introduction The Eventlet [http://eventlet.net] homepage describes it as; A concurrent networking library for Python that allows you to change how you run your code, not how you write it. It uses

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 1 Concurrency with Eventlet Introduction The Eventlet homepage describes it as; A concurrent networking library for Python that allows you to change how you run your code, not how you write it. • It

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 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

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)