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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2021/11/10 10:56:44 UTC
[GitHub] [airflow] FreeDemon opened a new issue #19511: All tasks finished but dag runs state is running
FreeDemon opened a new issue #19511:
URL: https://github.com/apache/airflow/issues/19511
### Apache Airflow version
2.2.1 (latest released)
### Operating System
CentOS Linux 7.7
### Versions of Apache Airflow Providers
apache-airflow-providers-cncf-kubernetes==2.1.0
apache-airflow-providers-ftp==2.0.1
apache-airflow-providers-http==2.0.1
apache-airflow-providers-imap==2.0.1
apache-airflow-providers-sqlite==2.0.1
### Deployment
Virtualenv installation
### Deployment details
Install according to the official installation document
use mysql as database
use CeleryExecutor , 3 workers, worker_concurrency=32, parallelism= 96
### What happened
I have 1000 DAGs files. Each DAGs has 4 tasks. Each task just outputs Hello word. Each DAGs is executed 10 times. When the task displays success, DAGs run still displays the running status. It takes a long time for the DAGs status to change to success, about 10 minutes
### What you expected to happen
When all tasks are completed, the DAG run status should also be completed, rather than waiting for a long time
### How to reproduce
_No response_
### Anything else
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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[GitHub] [airflow] eladkal commented on issue #19511: With large number of DAGS, dag_run state takes long time to update after last task
Posted by GitBox <gi...@apache.org>.
eladkal commented on issue #19511:
URL: https://github.com/apache/airflow/issues/19511#issuecomment-1014924181
@ShakaibKhan any findings you can share?
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[GitHub] [airflow] ShakaibKhan commented on issue #19511: With large number of DAGS, dag_run state takes long time to update after last task
Posted by GitBox <gi...@apache.org>.
ShakaibKhan commented on issue #19511:
URL: https://github.com/apache/airflow/issues/19511#issuecomment-1001276962
On v2.3.0.dev0 and I created 1000 DAGs w/ 4 task all printing hello world (Using Sequential Executor and default configs) and am able to see DAG status update pretty much immediately. I will try again in version 2.2 and using CeleryExecutor
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[GitHub] [airflow] boring-cyborg[bot] commented on issue #19511: All tasks finished but dag runs state is running
Posted by GitBox <gi...@apache.org>.
boring-cyborg[bot] commented on issue #19511:
URL: https://github.com/apache/airflow/issues/19511#issuecomment-965016104
Thanks for opening your first issue here! Be sure to follow the issue template!
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[GitHub] [airflow] ShakaibKhan commented on issue #19511: With large number of DAGS, dag_run state takes long time to update after last task
Posted by GitBox <gi...@apache.org>.
ShakaibKhan commented on issue #19511:
URL: https://github.com/apache/airflow/issues/19511#issuecomment-1016519668
Sorry, I have not made anymore findings. I do not think I can take on this issue at this time. Unassigning myself.
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[GitHub] [airflow] ShakaibKhan commented on issue #19511: With large number of DAGS, dag_run state takes long time to update after last task
Posted by GitBox <gi...@apache.org>.
ShakaibKhan commented on issue #19511:
URL: https://github.com/apache/airflow/issues/19511#issuecomment-982096365
I would be interested in investigating this and potentially making a PR if this is on no one else's plate
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