Karthik Kambatla updated YARN-2041:

    Fix Version/s:     (was: 2.4.0)
                       (was: 2.3.0)

> 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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