GitHub user jerryshao opened a pull request: https://github.com/apache/spark/pull/18213
[SPARK-20996][YARN] Better handling AM reattempt based on exit code in yarn mode ## What changes were proposed in this pull request? Yarn provides max attempt configuration for applications running on it, application has the chance to retry itself when failed. In the current Spark code, no matter which failure AM occurred and if the failure doesn't reach to the max attempt, RM will restart AM, this is not reasonable for some cases if this issue is coming from AM itself, like user code failure, OOM, Spark issue, executor failures, in large chance the reattempt of AM will meet this issue again. Only when AM is failed due to external issue like crash, process kill, NM failure, then AM should retry again. So here propose to improve this reattempt mechanism to only retry when it meets external issues. ## How was this patch tested? Manual verification. You can merge this pull request into a Git repository by running: $ git pull https://github.com/jerryshao/apache-spark SPARK-20996 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/18213.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #18213 ---- commit 1fa14152957e29d23598cb9e456ea3875138ef5e Author: jerryshao <ss...@hortonworks.com> Date: 2017-06-06T08:37:33Z Change the behavior of AM unregister Change-Id: Ia2c03e6001f91cbeaaa2a5f5d32ba4eb49ab9e6c ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org