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Posted to commits@airflow.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/09/02 18:03:04 UTC
[jira] [Commented] (AIRFLOW-1018) Scheduler DAG processes can not
log to stdout
[ https://issues.apache.org/jira/browse/AIRFLOW-1018?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16601474#comment-16601474 ]
Apache Spark commented on AIRFLOW-1018:
---------------------------------------
User 'bolkedebruin' has created a pull request for this issue:
https://github.com/apache/incubator-airflow/pull/2212
> Scheduler DAG processes can not log to stdout
> ---------------------------------------------
>
> Key: AIRFLOW-1018
> URL: https://issues.apache.org/jira/browse/AIRFLOW-1018
> Project: Apache Airflow
> Issue Type: Bug
> Affects Versions: 1.8.0
> Environment: Airflow 1.8.0
> Reporter: Vincent Poulain
> Assignee: Bolke de Bruin
> Priority: Blocker
> Fix For: 1.9.0
>
>
> Each DAG has its own log file for the scheduler and we can specify the directory with child_process_log_directory param.
> Unfortunately we can not change device / by specifying /dev/stdout for example. That is very useful when we execute Airflow in a container.
> When we specify /dev/stdout it raises:
> "OSError: [Errno 20] Not a directory: '/dev/stdout/2017-03-19'"
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