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Posted to yarn-dev@hadoop.apache.org by "Allen Wittenauer (JIRA)" <ji...@apache.org> on 2017/04/07 05:59:41 UTC
[jira] [Resolved] (YARN-6449) Enable YARN to accept jobs with < 1
core allocations
[ https://issues.apache.org/jira/browse/YARN-6449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Allen Wittenauer resolved YARN-6449.
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Resolution: Duplicate
> Enable YARN to accept jobs with < 1 core allocations
> ----------------------------------------------------
>
> Key: YARN-6449
> URL: https://issues.apache.org/jira/browse/YARN-6449
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: yarn
> Reporter: Daniel Tomes
> Labels: features, performance
>
> Product Enhancement Request
> In Spark/HIVE/etc. I often need to complete work for which an entire core is overkill such as managing a JDBC connection or doing a simple map/transform; however, when I do this on large datasets, 1 core X 500 partitions/mappers winds up with quite the cluster level footprint even though most of those processor cycles are idle.
> I propose that we enable YARN to allow a user to submit jobs that "allocate < 1 core". Under the covers, the JVM will still receive one core but YARN/ZK could keep track of the fractions of cores being used and allow other jobs to consume the same core twice provided that both jobs were submitted with <= .5 cores. Now, YARN can more effectively utilize multi-threading and decrease CPU idle for the power users.
> Obviously this can ultimately result in very bad outcomes, but if we also enable security controls then customers can configure such that only admins/gates can submit with < 1 full core and ultimately resulting in a cluster that can do more.
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