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Posted to dev@oozie.apache.org by "Peter Cseh (JIRA)" <ji...@apache.org> on 2016/09/20 15:40:20 UTC

[jira] [Issue Comment Deleted] (OOZIE-2606) Set spark.yarn.jars to fix Spark 2.0 with Oozie

     [ https://issues.apache.org/jira/browse/OOZIE-2606?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Peter Cseh updated OOZIE-2606:
------------------------------
    Comment: was deleted

(was: regarding to 3) Spark has [VersionUtils|https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/VersionUtils.scala] but only in Spark2.0. I couldn't find anything before.)

> Set spark.yarn.jars to fix Spark 2.0 with Oozie
> -----------------------------------------------
>
>                 Key: OOZIE-2606
>                 URL: https://issues.apache.org/jira/browse/OOZIE-2606
>             Project: Oozie
>          Issue Type: Bug
>          Components: core
>    Affects Versions: 4.2.0
>            Reporter: Jonathan Kelly
>            Assignee: Satish Subhashrao Saley
>              Labels: spark, spark2.0.0
>             Fix For: 4.3.0
>
>         Attachments: OOZIE-2606-2.patch, OOZIE-2606.patch
>
>
> Oozie adds all of the jars in the Oozie Spark sharelib to the DistributedCache such that all jars will be present in the current working directory of the YARN container (as well as in the container classpath). However, this is not quite enough to make Spark 2.0 work, since Spark 2.0 by default looks for the jars in assembly/target/scala-2.11/jars [1] (as if it is a locally built distribution for development) and will not find them in the current working directory.
> To fix this, we can set spark.yarn.jars to *.jar so that it finds the jars in the current working directory rather than looking in the wrong place. [2]
> [1] https://github.com/apache/spark/blob/v2.0.0-rc2/launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java#L357
> [2] https://github.com/apache/spark/blob/v2.0.0-rc2/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala#L476
> Note: This property will be ignored by Spark 1.x.



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