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Posted to commits@airflow.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/09/02 18:08:03 UTC
[jira] [Assigned] (AIRFLOW-1423) Enhance scheduler logs to better
explain DAG runs decisions
[ https://issues.apache.org/jira/browse/AIRFLOW-1423?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned AIRFLOW-1423:
-------------------------------------
Assignee: Holden Karau's magical unicorn
> Enhance scheduler logs to better explain DAG runs decisions
> -----------------------------------------------------------
>
> Key: AIRFLOW-1423
> URL: https://issues.apache.org/jira/browse/AIRFLOW-1423
> Project: Apache Airflow
> Issue Type: Improvement
> Components: scheduler
> Reporter: Ultrabug
> Assignee: Holden Karau's magical unicorn
> Priority: Major
> Attachments: add_scheduler_logs.patch
>
>
> One of the most frustrating topic for users is usually related to their understanding on the scheduler decisions about running a DAG or not.
> It would be wise to add more logs in the jobs creation decision so that it gets more clear whether a DAG is run or not and why.
> This patch adds such simple and useful logs.
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