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Hadoop QA commented on MAPREDUCE-4772: -------------------------------------- {color:red}-1 overall{color}. Here are the results of testing the latest attachment http://issues.apache.org/jira/secure/attachment/12552513/MR-4772-trunk.txt against trunk revision . {color:green}+1 @author{color}. The patch does not contain any @author tags. {color:green}+1 tests included{color}. The patch appears to include 2 new or modified test files. {color:red}-1 javac{color}. The applied patch generated 2031 javac compiler warnings (more than the trunk's current 2025 warnings). {color:green}+1 javadoc{color}. The javadoc tool did not generate any warning messages. {color:green}+1 eclipse:eclipse{color}. The patch built with eclipse:eclipse. {color:green}+1 findbugs{color}. The patch does not introduce any new Findbugs (version 1.3.9) warnings. {color:green}+1 release audit{color}. The applied patch does not increase the total number of release audit warnings. {color:green}+1 core tests{color}. The patch passed unit tests in hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core. {color:green}+1 contrib tests{color}. The patch passed contrib unit tests. Test results: https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/2993//testReport/ Javac warnings: https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/2993//artifact/trunk/patchprocess/diffJavacWarnings.txt Console output: https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/2993//console This message is automatically generated. > Fetch failures can take way too long for a map to be restarted > -------------------------------------------------------------- > > Key: MAPREDUCE-4772 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-4772 > Project: Hadoop Map/Reduce > Issue Type: Bug > Components: mrv2 > Affects Versions: 0.23.4 > Reporter: Robert Joseph Evans > Assignee: Robert Joseph Evans > Priority: Critical > Attachments: MR-4772-0.23.txt, MR-4772-trunk.txt > > > In one particular case we saw a NM go down at just the right time, that most > of the reducers got the output of the map tasks, but not all of them. > The ones that failed to get the output reported to the AM rather quickly that > they could not fetch from the NM, but because the other reducers were still > running the AM would not relaunch the map task because there weren't more > than 50% of the running reducers that had reported fetch failures. Then > because of the exponential back-off for fetches on the reducers it took until > 1 hour 45 min for the reduce tasks to hit another 10 fetch failures and > report in again. At that point the other reducers had finished and the job > relaunched the map task. If the reducers had still been running at 1:45 I > have no idea how long it would have taken for each of the tasks to get to 30 > fetch failures. > We need to trigger the map based off of percentage of reducers shuffling, not > percentage of reducers running, we also need to have a maximum limit of the > back off, so that we don't ever have the reducer waiting for days to try and > fetch map output. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira