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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2022/02/04 15:50:51 UTC
[GitHub] [airflow] GitSpree23 opened a new issue #21329: Airflow unable to reserialize deleted DAG file
GitSpree23 opened a new issue #21329:
URL: https://github.com/apache/airflow/issues/21329
### Apache Airflow version
2.0.1
### What happened
I accidentally deleted an Airflow DAG file from the filesystem (Ubuntu - meant to use `cp` but used `mv` instead).
At the time of deletion, the DAG already had a few successes along with a running job.
I only realised this a few minutes later and immediately copied the DAG back (it was the same exact file content & name).
But while the DAG was visible in the UI and it showed the history including the running status, clicking on the DAG name returned `airflow.exceptions.SerializedDagNotFound: DAG 'sms_collections_report_dag' not found in serialized_dag table` error. I got the same error while trying to view the running job too. Waited for a few hours but still got the same error.
### What you expected to happen
I expected the DAG to get added back to the dag bag in the next scheduler run, but it didn't happen.
### How to reproduce
- Delete DAG from the Ubuntu filesystem (I used mv but rm might have same effect too).
- Add exact DAG back into the same dag folder with same previous name.
- Try to view DAG run details in Airflow UI
### Operating System
Ubuntu 18.04
### Versions of Apache Airflow Providers
_No response_
### Deployment
Virtualenv installation
### Deployment details
_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] GitSpree23 closed issue #21329: Airflow unable to reserialize deleted DAG file
Posted by GitBox <gi...@apache.org>.
GitSpree23 closed issue #21329:
URL: https://github.com/apache/airflow/issues/21329
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[GitHub] [airflow] boring-cyborg[bot] commented on issue #21329: Airflow unable to reserialize deleted DAG file
Posted by GitBox <gi...@apache.org>.
boring-cyborg[bot] commented on issue #21329:
URL: https://github.com/apache/airflow/issues/21329#issuecomment-1030112601
Thanks for opening your first issue here! Be sure to follow the issue template!
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[GitHub] [airflow] GitSpree23 commented on issue #21329: Airflow unable to reserialize deleted DAG file
Posted by GitBox <gi...@apache.org>.
GitSpree23 commented on issue #21329:
URL: https://github.com/apache/airflow/issues/21329#issuecomment-1030115146
This issue was resolved with the help of @potiuk , thanks!
I simply added a new line (and removed a commented line just to be safe!) Waited for a couple of minutes for the scheduler to do its job, and my DAG was back!
Of note: the executing task in the DAG run seems to be stuck in queued state (logs are preserved)
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[GitHub] [airflow] spru23 commented on issue #21329: Airflow unable to reserialize deleted DAG file
Posted by GitBox <gi...@apache.org>.
spru23 commented on issue #21329:
URL: https://github.com/apache/airflow/issues/21329#issuecomment-1031323534
It got closed by mistake, yes ... let me know if you need any more info
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[GitHub] [airflow] potiuk commented on issue #21329: Airflow unable to reserialize deleted DAG file
Posted by GitBox <gi...@apache.org>.
potiuk commented on issue #21329:
URL: https://github.com/apache/airflow/issues/21329#issuecomment-1030178831
Was it closed by mistake? I thnk my "solution" was really a workaround but that seems like a valid edge-case that we might want to take a look liek
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[GitHub] [airflow] spru23 edited a comment on issue #21329: Airflow unable to reserialize deleted DAG file
Posted by GitBox <gi...@apache.org>.
spru23 edited a comment on issue #21329:
URL: https://github.com/apache/airflow/issues/21329#issuecomment-1030115146
This issue was resolved with the help of @potiuk , thanks!
I simply added a new line (and removed a commented line just to be safe!) Waited for a couple of minutes for the scheduler to do its job, and my DAG was back!
Of note: the executing task in the DAG run seems to be stuck in queued state (logs have been preserved)
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