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From "Nishkam Ravi (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-2041) Hard to co-locate MR2 and Spark jobs on the same cluster in YARN
Date Wed, 28 May 2014 23:54:03 GMT

    [ https://issues.apache.org/jira/browse/YARN-2041?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14011844#comment-14011844

Nishkam Ravi commented on YARN-2041:

Unlike FIFO, whose performance deteriorates consistently across multiple benchmarks as value
of yarn.nodemanager.resource.memory-mb is increased from 16GB to 40GB, Capacity scheduler
performs well for all benchmarks except for TeraValidate. 

For TeraValidate in single-job mode:

Exec. time with Fair: 38 sec (yarn.nodemanager.resource.memory-mb = 16GB)
Exec. time with Fair: 38 sec (yarn.nodemanager.resource.memory-mb = 40GB)
Exec. time with Capacity: 51 sec (yarn.nodemanager.resource.memory-mb = 16GB)
Exec. time with Capacity: 100 sec (yarn.nodemanager.resource.memory-mb = 40GB)

Also, in multi-job mode, Capacity seems to be behaving like FIFO. Scheduling one job at a
time for execution. 

> 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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