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Posted to commits@airflow.apache.org by "Yu Kodama (JIRA)" <ji...@apache.org> on 2019/06/03 02:39:00 UTC
[jira] [Updated] (AIRFLOW-4726) Duplicate operator task ids raise
inappropriate error message
[ https://issues.apache.org/jira/browse/AIRFLOW-4726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yu Kodama updated AIRFLOW-4726:
-------------------------------
Description:
When there are duplicate operator task ids, it raises `_Broken DAG: Cycle detected in DAG. Faulty task: foo to foo_`.
This error message is ambiguous, so I suggest that `_Broken DAG: duplicate task ids. ~~~_` is better.
I examined this case on my local environment (Airflow version: 1.10.3).
DAG script and error messages are on Attachment.
(I changed [https://airflow.apache.org/tutorial.html] a little to make this DAG script.)
was:
When there are duplicate operator task ids, it raises `Broken DAG: Cycle detected in DAG. Faulty task: foo to foo`.
This error message is ambiguous, so I suggest that `Broken DAG: duplicate task ids. ~~~` is better.
I examined this case on my local environment (Airflow version: 1.10.3).
DAG script and error messages are on Attachment.
(I changed [https://airflow.apache.org/tutorial.html] a little to make this DAG script.)
> Duplicate operator task ids raise inappropriate error message
> -------------------------------------------------------------
>
> Key: AIRFLOW-4726
> URL: https://issues.apache.org/jira/browse/AIRFLOW-4726
> Project: Apache Airflow
> Issue Type: Improvement
> Components: DAG
> Affects Versions: 1.10.3
> Reporter: Yu Kodama
> Assignee: Yu Kodama
> Priority: Minor
> Attachments: airflow_admin.png, duplicate_operators.py
>
>
> When there are duplicate operator task ids, it raises `_Broken DAG: Cycle detected in DAG. Faulty task: foo to foo_`.
> This error message is ambiguous, so I suggest that `_Broken DAG: duplicate task ids. ~~~_` is better.
>
> I examined this case on my local environment (Airflow version: 1.10.3).
> DAG script and error messages are on Attachment.
> (I changed [https://airflow.apache.org/tutorial.html] a little to make this DAG script.)
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