Py-celery-singleton

Jul 20, 2023

Prevent duplicate celery tasks

celery-singleton uses the JSON representation of a task’s delay or apply_async arguments to generate a unique lock and stores it in redis. By default it uses the redis server of the celery result backend. If you use a different/no result backend or want to use a different redis server for celery-singleton, refer the configuration section for how to customize the redis.

import time from celery_singleton import Singleton from somewhere import celery_app

@celery_app.taskbase=Singleton def do_stuff*args, **kwargs time.sleep4 return ‘I just woke up’

run the task as normal

async_result = do_stuff.delay1, 2, 3, a=’b’ async_result2 = do_stuff.delay1, 2, 3, a=’b’

These are the same, task is only queued once

assert async_result == async_result2



Checkout these related ports:
  • Zziplib - Library to provide transparent read access to zipped files
  • Zydis - Fast and lightweight x86/x86-64 disassembler library
  • Zycore-c - Support library with platform independent types, macros, etc for Zydis
  • Zthread - Platform-independent object-oriented C++ threading library
  • Zookeeper - Coordination Service for Distributed Applications
  • Zls - Zig LSP implementation + Zig Language Server
  • Zfp - High throughput library for compressed floating-point arrays
  • Zeal - Offline documentation browser
  • Zapcc - C++ caching compiler based on clang
  • Zanata-platform - Web-based translation platform
  • Zanata-cli - Zanata Java command line client
  • Z88dk - Complete Z80/Z180 development kit
  • Z80ex - ZiLOG Z80 CPU emulator library
  • Z80asm - Assembler for the Z80 microprocessor
  • Z80-asm - Z80 assembly code assembler and disassembler