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Varun Saxena commented on MAPREDUCE-6720: ----------------------------------------- [~sjlee0], amongst the options given by you, first one is better because in metricstoretrieve we can only specify prefixes. The reason I went with the approach I mentioned was because it should not be that user gets all the metrics map/reduce/total if he filters out based on group name. But I guess we can document that metrics beginning with MAP: and REDUCE: would contain aggregated values at map / reduce level. > Inconsistent values of counters across tasks and job reported to timeline > service. > ---------------------------------------------------------------------------------- > > Key: MAPREDUCE-6720 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-6720 > Project: Hadoop Map/Reduce > Issue Type: Sub-task > Components: applicationmaster > Affects Versions: YARN-2928 > Reporter: Varun Saxena > Assignee: Varun Saxena > Labels: yarn-2928-1st-milestone > Attachments: Counters For Job.png, Counters for Tasks.png, > MAPREDUCE-6720-YARN-2928.01.patch, MAPREDUCE-6720-YARN-2928.02.patch > > > While testing found below issue. For some of the task counters, we do not > have consistent values. This is not the case with every counter though. > Consider the case of counter > "org.apache.hadoop.mapreduce.FileSystemCounter:FILE_BYTES_WRITTEN". > I found that its value for a flow I ran, was 936018 bytes. For the 3 apps > associated with this flow run, the values were 312006 bytes each (which > equals to value for a flow run i.e. 3 * 312006 = 936018). Drilling further > down I found though that for one of the apps, the 4 tasks(2 mappers and 2 > reducers) had values as 155918 bytes each for the 2 reducers and 156003 bytes > each for the 2 mappers. > This means the value reported for the app should be (2 * 156003 + 2* 155918) > or 623842 bytes but it is only 312006 bytes which indicates that only counter > value of mappers is being picked up. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: mapreduce-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: mapreduce-issues-h...@hadoop.apache.org