Ask Solem d4e72df2a7 flakes %!s(int64=9) %!d(string=hai) anos
..
README.rst d08014fde0 Py3 fixes %!s(int64=11) %!d(string=hai) anos
bulk_task_producer.py e650e3b774 flakes %!s(int64=11) %!d(string=hai) anos
celeryconfig.py d4e72df2a7 flakes %!s(int64=9) %!d(string=hai) anos
tasks.py d08014fde0 Py3 fixes %!s(int64=11) %!d(string=hai) anos
webcrawler.py cac1d1893f Wording %!s(int64=11) %!d(string=hai) anos

README.rst

==================================
Example using the Eventlet Pool
==================================

Introduction
============

This is a Celery application containing two example tasks.

First you need to install Eventlet, and also recommended is the `dnspython`
module (when this is installed all name lookups will be asynchronous)::

$ pip install eventlet
$ pip install dnspython
$ pip install requests

Before you run any of the example tasks you need to start
the worker::

$ cd examples/eventlet
$ celery worker -l info --concurrency=500 --pool=eventlet

As usual you need to have RabbitMQ running, see the Celery getting started
guide if you haven't installed it yet.

Tasks
=====

* `tasks.urlopen`

This task simply makes a request opening the URL and returns the size
of the response body::

$ cd examples/eventlet
$ python
>>> from tasks import urlopen
>>> urlopen.delay("http://www.google.com/").get()
9980

To open several URLs at once you can do::

$ cd examples/eventlet
$ python
>>> from tasks import urlopen
>>> from celery import group
>>> result = group(urlopen.s(url)
... for url in LIST_OF_URLS).apply_async()
>>> for incoming_result in result.iter_native():
... print(incoming_result, )

* `webcrawler.crawl`

This is a simple recursive web crawler. It will only crawl
URLs for the current host name. Please see comments in the
`webcrawler.py` file.