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README.md

Introduction

redisbeat is a Celery Beat Scheduler that stores periodic tasks and their status in a Redis Datastore.

Tasks can be added, removed or modified without restarting celery using redisbeat.

And you can add scheduler task dynamically when you need to add scheduled task.

Features

  1. Full-featured celery-beat scheduler.
  2. Dynamically add/remove/modify tasks.

Installation

redisbeat can be easily installed using setuptools or pip.

# pip install redisbeat

or you can install from source by cloning this repository:

# git clone https://github.com/yetship/celerybeatredis.git
# cd celerybeatredis
# python setup.py install

Docker-compose demo

redisbeat provides a Docker demo in example folder that you can use:

# cd celerybeatredis/example-docker
# docker-compose up -d

After you have compose running, you can easily see it working with following commands:

  1. Celery worker logs

    # docker-compose logs worker
    
  2. Celery beat logs

    # docker-compose logs beat
    
  3. dynamic add the task sub

    # docker exec -it beat python add_task.py
    
  4. dynamic remove the task sub

    # docker exec -it beat python rem_task.py
    

Running demo locally without Docker

If you want to try locally you can install the requirements from pip, and run it as a python project changing the url of redis from 'redis' to 'localhost' in tasks.py Celery instance and config:

#(...)
app = Celery('tasks', backend='redis://redis:6379',
                broker='redis://redis:6379')

app.conf.update(
    CELERY_REDIS_SCHEDULER_URL = 'redis://redis:6379',
#(...)

Commands to start worker and beat:

# celery worker -A tasks -l INFO
# celery beat -A tasks -S redisbeat.RedisScheduler -l INFO

Configuration and Usage

Configuration for redisbeat is similar to the original celery configuration for beat. You can configure redisbeat as:

# encoding: utf-8

from datetime import timedelta
from celery.schedules import crontab
from celery import Celery

app = Celery('tasks', backend='redis://localhost:6379',
             broker='redis://localhost:6379')

app.conf.update(
    CELERYBEAT_SCHEDULE={
        'perminute': {
            'task': 'tasks.add',
            'schedule': timedelta(seconds=3),
            'args': (1, 1)
        }
    }
)

@app.task
def add(x, y):
    return x + y

@app.task
def sub(x, y):
    return x - y

when you want to add a new task dynamically, you can try this code such like in __main__:

#!/usr/bin/env python
# encoding: utf-8
from datetime import timedelta
from celery import Celery
from redisbeat.scheduler import RedisScheduler


app = Celery('tasks', backend='redis://localhost:6379',
             broker='redis://localhost:6379')

app.conf.update(
    CELERYBEAT_SCHEDULE={
        'perminute': {
            'task': 'tasks.add',
            'schedule': timedelta(seconds=3),
            'args': (1, 1)
        }
    }
)

@app.task
def add(x, y):
    return x + y

@app.task
def sub(x, y):
    return x - y

if __name__ == "__main__":
    schduler = RedisScheduler(app=app)
    schduler.add(**{
        'name': 'sub-perminute',
        'task': 'tasks.sub',
        'schedule': timedelta(seconds=3),
        'args': (1, 1)
    })

It can be easily to add task for two step:

  1. Init a RedisScheduler object from Celery app
  2. Add new tasks by RedisScheduler object

Or you can define settings in your celery configuration file similar to other configurations.

CELERY_BEAT_SCHEDULER = 'redisbeat.RedisScheduler'
CELERY_REDIS_SCHEDULER_URL = 'redis://localhost:6379/1'
CELERY_REDIS_SCHEDULER_KEY = 'celery:beat:order_tasks'
CELERYBEAT_SCHEDULE = {
    'perminute': {
        'task': 'tasks.add',
        'schedule': timedelta(seconds=3),
        'args': (1, 1)
    }
}

Multiple node support

For running redisbeat in multi node deployment, it uses redis lock to prevent same task to be executed mutiple times.

CELERY_REDIS_MULTI_NODE_MODE = True
CELERY_REDIS_SCHEDULER_LOCK_TTL = 30

This is an experimental feature, to use redisbeat in production env, set CELERY_REDIS_MULTI_NODE_MODE = False, redisbeat will not use this feature.