celerybeat

I have being trying to setup django + celery + redis + celery_beats but it is giving me trouble. The documentation is quite straightforward, but when I run the django server, redis, celery and celery beats, nothing gets printed or logged (all my test task does its log something). This is my folder structure: - aenima - aenima - __init__.py - celery.py - criptoball - tasks.py celery.py looks like this: from __future__ import absolute_import, unicode_literals import os from django.conf import settings from celery import Celery # set the default Django settings module for the 'celery' program. os

I am trying to run celerybeat as a daemon in Elastic beanstalk. Here is my config file: files: "/opt/python/log/django.log": mode: "000666" owner: ec2-user group: ec2-user content: | # Log file encoding: plain "/opt/elasticbeanstalk/hooks/appdeploy/post/run_supervised_celeryd.sh": mode: "000755" owner: root group: root content: | #!/usr/bin/env bash # Get django environment variables celeryenv=`cat /opt/python/current/env | tr '\n' ',' | sed 's/%/%%/g' | sed 's/export //g' | sed 's/$PATH/%(ENV_PATH)s/g' | sed 's/$PYTHONPATH//g' | sed 's/$LD_LIBRARY_PATH//g'` celeryenv=${celeryenv%?} # Create

How mature is Chronos ? Is it a viable alternative to scheduler like celery-beat? Right now our scheduling implements a periodic "heartbeat" task that checks of "outstanding" events and fires them if they are overdue. We are using python-dateutil 's rrule for defining this. We are looking at alternatives to this approach, and Chronos seems a very attactive alternative: 1) it would mitigate the necessity to use a heartbeat schedule task, 2) it supports RESTful submission of events with ISO8601 format, 3) has a useful interface for management, and 4) it scales. The crucial requirement is that

I have celery beat and celery (four workers) to do some processing steps in bulk. One of those tasks is roughly along the lines of, "for each X that hasn't had a Y created, create a Y." The task is run periodically at a semi-rapid rate (10sec). The task completes very quickly. There are other tasks going on as well. I've run into the issue multiple times in which the beat tasks apparently become backlogged, and so the same task (from different beat times) are executed simultaneously, causing incorrectly duplicated work. It also appears that the tasks are executed out-of-order. Is it possible

I am hoping to be able to programmatically generate celerybeat entries and resync celerybeat when entries are added. The docs here state By default the entries are taken from the CELERYBEAT_SCHEDULE setting, but custom stores can also be used, like storing the entries in an SQL database. So I am trying to figure out which classes i need to extend to be able to do this. I have been looking at celery scheduler docs and djcelery api docs but the documentation on what some of these methods do is non-existent so about to dive into some source and was just hoping someone could point me in the right

I have 3 machines with celery workers and rabbitmq as a broker, one worker is running with beat flag, all of this is managed by supervisor, and sometimes celery dies with such error. This error appears only on beat worker, but when it appears, workers on all machines dies. (celery==3.1.12, kombu==3.0.20) [2014-07-05 08:37:04,297: INFO/MainProcess] Connected to amqp://user:**@192.168.15.106:5672// [2014-07-05 08:37:04,311: ERROR/Beat] Process Beat Traceback (most recent call last): File "/var/projects/env/local/lib/python2.7/site-packages/billiard/process.py", line 292, in _bootstrap self.run()