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https://issues.apache.org/jira/browse/SPARK-15990?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334320#comment-15334320
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Apache Spark commented on SPARK-15990:
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User 'jerryshao' has created a pull request for this issue:
https://github.com/apache/spark/pull/13712
> Support rolling log aggregation for Spark running on YARN
> ---------------------------------------------------------
>
> Key: SPARK-15990
> URL: https://issues.apache.org/jira/browse/SPARK-15990
> Project: Spark
> Issue Type: Improvement
> Components: YARN
> Reporter: Saisai Shao
> Priority: Minor
>
> YARN supports rolling log aggregation since version 2.6+, it will aggregate
> the logs in a timely manner and upload to the HDFS. Compared to the previous
> log aggregation method which only aggregate the logs after application is
> finished, this will speed up the log aggregation time. Also this will avoid
> too large log file problem (out of disk).
> So here propose to introduce this feature for Spark on YARN.
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