{"id":17003036,"url":"https://github.com/50-course/dj-celery-results-multiple-worker-failure","last_synced_at":"2026-05-10T07:49:36.420Z","repository":{"id":218095400,"uuid":"745588554","full_name":"50-Course/dj-celery-results-multiple-worker-failure","owner":"50-Course","description":"This repository aims to reproduce and perform root cause analysis of the production bug on @celery:django-celery-results","archived":false,"fork":false,"pushed_at":"2024-01-23T22:42:05.000Z","size":12,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-22T09:43:43.594Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/50-Course.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-01-19T16:59:00.000Z","updated_at":"2024-01-23T21:31:06.000Z","dependencies_parsed_at":"2025-01-27T09:40:54.679Z","dependency_job_id":"d1c40a54-8abf-437e-a446-0dfd7a3f1ec1","html_url":"https://github.com/50-Course/dj-celery-results-multiple-worker-failure","commit_stats":null,"previous_names":["50-course/dj-celery-results-multiple-worker-failure"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/50-Course/dj-celery-results-multiple-worker-failure","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/50-Course%2Fdj-celery-results-multiple-worker-failure","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/50-Course%2Fdj-celery-results-multiple-worker-failure/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/50-Course%2Fdj-celery-results-multiple-worker-failure/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/50-Course%2Fdj-celery-results-multiple-worker-failure/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/50-Course","download_url":"https://codeload.github.com/50-Course/dj-celery-results-multiple-worker-failure/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/50-Course%2Fdj-celery-results-multiple-worker-failure/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270614288,"owners_count":24616666,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-15T02:00:12.559Z","response_time":110,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-14T04:29:37.761Z","updated_at":"2025-10-16T14:56:18.039Z","avatar_url":"https://github.com/50-Course.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"This repository aims to perform post-mortem of the production bug in @celery/django-celery-results #417:\n\n## Post-mortem\n\nTitle: Unable to retrieve results across workers\n\nTicket No:\n - #417\n\nReference: https://github.com/celery/django-celery-results/issues/417\nAssociated Patch: \n\n\n### Bug description:\n\n\u003e I have two queues although only one is actively processing tasks, call them A and B. Each is deployed in an individual docker deployment consisting of an app container and a celery worker. Both queues share one rabbit MQ running in its own container.\n\n\u003e I can successfully start tasks in B.celery from A.app. I can watch the task in B's log and see it completes. In B.app I am able to retrieve the task's state and result.\n\n\u003e If, however, I try to retrieve the task's result/ state in A.app, those are always empty and PENDING, and get() / wait() just hang.\n\n\u003e This is problematic because A is where, for the most part, all tasks are started, and A needs to send the same task to each of B, C, D, ... then wait for all tasks to complete before moving on. I can't use chained tasks or similar because the tasks all need to run in parallel.\n\n\n## Installation\n\n\n## Bug tracker\n\nPlease report error regarding this issue to official `django-celery-results` repository. Or continue the discussion at: celery/django-celery-results#417\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F50-course%2Fdj-celery-results-multiple-worker-failure","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F50-course%2Fdj-celery-results-multiple-worker-failure","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F50-course%2Fdj-celery-results-multiple-worker-failure/lists"}