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Hudson commented on YARN-2964: ------------------------------ FAILURE: Integrated in Hadoop-Hdfs-trunk #1977 (See [https://builds.apache.org/job/Hadoop-Hdfs-trunk/1977/]) YARN-2964. FSLeafQueue#assignContainer - document the reason for using both write and read locks. (Tsuyoshi Ozawa via kasha) (kasha: rev f2d150ea1205b77a75c347ace667b4cd060aaf40) * hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FSLeafQueue.java * hadoop-yarn-project/CHANGES.txt > RM prematurely cancels tokens for jobs that submit jobs (oozie) > --------------------------------------------------------------- > > Key: YARN-2964 > URL: https://issues.apache.org/jira/browse/YARN-2964 > Project: Hadoop YARN > Issue Type: Bug > Components: resourcemanager > Affects Versions: 2.6.0 > Reporter: Daryn Sharp > Assignee: Jian He > Priority: Blocker > Attachments: YARN-2964.1.patch > > > The RM used to globally track the unique set of tokens for all apps. It > remembered the first job that was submitted with the token. The first job > controlled the cancellation of the token. This prevented completion of > sub-jobs from canceling tokens used by the main job. > As of YARN-2704, the RM now tracks tokens on a per-app basis. There is no > notion of the first/main job. This results in sub-jobs canceling tokens and > failing the main job and other sub-jobs. It also appears to schedule > multiple redundant renewals. > The issue is not immediately obvious because the RM will cancel tokens ~10 > min (NM livelyness interval) after log aggregation completes. The result is > an oozie job, ex. pig, that will launch many sub-jobs over time will fail if > any sub-jobs are launched >10 min after any sub-job completes. If all other > sub-jobs complete within that 10 min window, then the issue goes unnoticed. -- This message was sent by Atlassian JIRA (v6.3.4#6332)