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Vinod Kumar Vavilapalli commented on YARN-2041:
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Tx for all the updates, [~nravi], but can you please make clear the issues that you think
are needed to be fixed?
> Hard to co-locate MR2 and Spark jobs on the same cluster in YARN
> ----------------------------------------------------------------
>
> Key: YARN-2041
> URL: https://issues.apache.org/jira/browse/YARN-2041
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: nodemanager
> Affects Versions: 2.3.0
> Reporter: Nishkam Ravi
>
> Performance of MR2 jobs falls drastically as YARN config parameter yarn.nodemanager.resource.memory-mb
is increased beyond a certain value.
> Performance of Spark falls drastically as the value of yarn.nodemanager.resource.memory-mb
is decreased beyond a certain value for a large data set.
> This makes it hard to co-locate MR2 and Spark jobs in YARN.
> The experiments are being conducted on a 6-node cluster. The following workloads are
being run: TeraGen, TeraSort, TeraValidate, WordCount, ShuffleText and PageRank.
> Will add more details to this JIRA over time.
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