Open marvelph opened 3 years ago
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@galCohen88 can you check
Was this task anyhow resolved?
I don't know. can you help to reproduce?
Checklist
master
branch of Celery.Mandatory Debugging Information
celery -A proj report
in the issue. (if you are not able to do this, then at least specify the Celery version affected).master
branch of Celery.pip freeze
in the issue.Optional Debugging Information
Related Issues and Possible Duplicates
Related Issues
Possible Duplicates
Environment & Settings
Celery version:4.4.7 and 5.1.2
celery report
Output:``` ```
Steps to Reproduce
Required Dependencies
Python Packages
pip freeze
Output:``` alabaster==0.7.12 amqp==5.0.6 asgiref==3.3.4 Babel==2.8.0 beautifulsoup4==4.9.3 billiard==3.6.4.0 boto3==1.16.10 botocore==1.19.10 celery==5.1.2 certifi==2020.6.20 chardet==3.0.4 click==7.1.2 click-didyoumean==0.0.3 click-plugins==1.1.1 click-repl==0.2.0 defusedxml==0.6.0 diff-match-patch==20200713 dill==0.3.3 Django==3.2.4 django-amazon-ses==4.0.0 django-appconf==1.0.4 django-bootstrap-breadcrumbs==0.9.2 django-bootstrap-datepicker-plus==3.0.5 django-bootstrap-form==3.4 django-bootstrap4==2.3.1 django-braces==1.14.0 django-chartjs==2.2.1 django-datatables-view==1.19.1 django-debug-toolbar==3.1.1 django-decorator-include==2.1 django-elasticache==1.0.3 django-environ==0.4.5 django-extra-views==0.13.0 django-formtools==2.2 django-imagekit==4.0.2 django-import-export==2.4.0 django-modelsdoc==0.1.11 django-pandas==0.6.4 django-storages==1.10.1 django-summernote==0.8.11.6 django-wkhtmltopdf==3.3.0 docutils==0.14 et-xmlfile==1.0.1 factory-boy==3.1.0 Faker==4.14.0 flower==0.9.5 humanize==3.1.0 idna==2.10 imagesize==1.2.0 jaconv==0.2.4 jdcal==1.4.1 Jinja2==2.11.2 jmespath==0.10.0 klepto==0.2.0 kombu==5.1.0 MarkupPy==1.14 MarkupSafe==1.1.1 numpy==1.18.4 odfpy==1.4.1 openpyxl==3.0.5 packaging==20.4 pandas==1.2.3 pilkit==2.0 Pillow==8.0.1 pox==0.2.9 prometheus-client==0.8.0 prompt-toolkit==3.0.19 psycopg2-binary==2.8.6 pycurl==7.43.0.6 Pygments==2.7.2 pykakasi==2.0.1 pylibmc==1.6.1 pyparsing==2.4.7 python-dateutil==2.8.1 python-magic==0.4.18 pytz==2020.4 PyYAML==5.3.1 redis==3.5.3 requests==2.24.0 s3transfer==0.3.3 six==1.15.0 snowballstemmer==2.0.0 soupsieve==2.0.1 Sphinx==3.2.1 sphinxcontrib-applehelp==1.0.2 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==1.0.3 sphinxcontrib-jsmath==1.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.4 sqlparse==0.4.1 tablib==2.0.0 tenacity==6.2.0 text-unidecode==1.3 tornado==6.1 urllib3==1.25.11 uWSGI==2.0.19.1 uwsgi-tools==1.1.1 vine==5.0.0 voluptuous==0.12.0 wcwidth==0.2.5 xlrd==1.2.0 XlsxWriter==1.3.7 xlwt==1.3.0 ```
Other Dependencies
Minimally Reproducible Test Case
```python ```
Expected Behavior
Actual Behavior
When 4 to 8 workers start at the same time, the task will stop consuming. If there are 2 workers, the problem will not occur. Once the Visibility Timeout has passed, task digestion will resume. We use a SQS FIFO queue for brokers. We do not have this problem when using Redis.