DLQ is a lightweight & modular queue and cron system for Django. It powers millions of production jobs every day at Thread.
pip install django-lightweight-queue[redis]
Currently the only production-ready backends are redis-based, so the redis
extra is essentially required. Additional non-redis backed production-ready
backends are great candidates for community contributions.
Start by adding django_lightweight_queue
to your INSTALLED_APPS
:
INSTALLED_APPS = [
"django.contrib.admin",
"django.contrib.auth",
...,
"django_lightweight_queue",
]
After that, define your task in any file you want:
import time
from django_lightweight_queue import task
# Define a task
@task()
def long_running_task(first_arg, second_arg):
time.sleep(first_arg * second_arg)
# Request that the task be executed at some point
long_running_task(4, second_arg=9)
See the docstring on the task
decorator
for more details.
All automatically picked up configuration options begin with LIGHTWEIGHT_QUEUE_
and can be found in app_settings.py
. They should be placed in the usual Django
settings files, for example:
LIGHTWEIGHT_QUEUE_BACKEND = 'django_lightweight_queue.backends.redis.RedisBackend'
If desired, specific configuration overrides can be placed in a standalone python file which passed on the command line. This is useful for applying customisations for specific servers.
For example, given a special.py
containing:
LIGHTWEIGHT_QUEUE_REDIS_PORT = 12345
and then running:
$ python manage.py queue_runner --extra-settings=special.py
will result in the runner to use the settings from the specified configuration file in preference to settings from the Django environment. Any settings not present in the specified file are inherited from the global configuration.
There are four built-in backends:
django_lightweight_queue.backends.synchronous.SynchronousBackend
Executes the task inline, without any actual queuing.
django_lightweight_queue.backends.redis.RedisBackend
Executes tasks at-most-once using Redis for storage of the enqueued tasks.
django_lightweight_queue.backends.reliable_redis.ReliableRedisBackend
Executes tasks at-least-once using Redis for storage of the enqueued tasks (subject to Redis consistency). Does not guarantee the task completes.
django_lightweight_queue.backends.debug_web.DebugWebBackend
Instead of running jobs it prints the url to a view that can be used to run a task in a transaction which will be rolled back. This is useful for debugging and optimising tasks.
Use this to append the appropriate URLs to the bottom of your root urls.py
:
from django.conf import settings
from django.urls import path, include
urlpatterns = [
...
]
if settings.DEBUG:
urlpatterns += [
path(
"",
include(
"django_lightweight_queue.urls", namespace="django-lightweight-queue"
),
)
]
This backend may require an extra setting if your debug site is not on localhost:
# defaults to http://localhost:8000
LIGHTWEIGHT_QUEUE_SITE_URL = "http://example.com:8000"
The queue runner is implemented as a Django management command:
$ python manage.py queue_runner
Workers can be distributed over multiple hosts by telling each runner that it is part of a pool:
$ python manage.py queue_runner --machine 2 --of 4
Alternatively a runner can be told explicitly how to behave by having
extra settings loaded (any LIGHTWEIGHT_QUEUE_*
constants found in the file
will replace equivalent django settings) and being configured to run exactly as
the settings describe:
$ python manage.py queue_runner --exact-configuration --extra-settings=special.py
When using --exact-configuration
the number of workers is configured exactly,
rather than being treated as the configuration for a pool. Additionally,
exactly-configured runners will not run any cron workers.
Given a Django configuration containing:
LIGHTWEIGHT_QUEUE_WORKERS = {
'queue1': 3,
}
and a special.py
containing:
LIGHTWEIGHT_QUEUE_WORKERS = {
'queue1': 2,
}
Running any of:
$ python manage.py queue_runner --machine 1 --of 3 # or,
$ python manage.py queue_runner --machine 2 --of 3 # or,
$ python manage.py queue_runner --machine 3 --of 3
will result in one worker for queue1
on the current machine, while:
$ python manage.py queue_runner --exact-configuration --extra-settings=special.py
will result in two workers on the current machine.
DLQ supports the use of a cron-like specification of Django management commands to be run at certain times.
To specify that a management command should be run at a given time, place a
cron.py
file in the root folder of the Django app which defines the command
and which contains a CONFIG
variable:
CONFIG = (
{
'command': 'my_cron_command',
# Day values 1-7 to match datetime.datetime.utcnow().isoweekday()
'days': '*',
'hours': '*',
'minutes': '*',
# Equivalent behaviour to the kwarg to `task` of the same name
'sigkill_on_stop': True,
},
)
This repository was created by Chris Lamb at Thread, and continues to be maintained by the Thread engineering team.