You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Patrick Wendell (JIRA)" <ji...@apache.org> on 2014/05/06 01:30:16 UTC

[jira] [Commented] (SPARK-1681) Handle hive support correctly in ./make-distribution

    [ https://issues.apache.org/jira/browse/SPARK-1681?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13990084#comment-13990084 ] 

Patrick Wendell commented on SPARK-1681:
----------------------------------------

Closed via:
https://github.com/apache/spark/pull/610

> Handle hive support correctly in ./make-distribution
> ----------------------------------------------------
>
>                 Key: SPARK-1681
>                 URL: https://issues.apache.org/jira/browse/SPARK-1681
>             Project: Spark
>          Issue Type: Bug
>          Components: Build, SQL
>            Reporter: Patrick Wendell
>            Assignee: Patrick Wendell
>            Priority: Blocker
>             Fix For: 1.0.0
>
>
> When Hive support is enabled we should copy the datanucleus jars to the packaged distribution. The simplest way would be to create a lib_managed folder in the final distribution so that the compute-classpath script searches in exactly the same way whether or not it's a release.
> A slightly nicer solution is to put the jars inside of `/lib` and have some fancier check for the jar location in the compute-classpath script.
> We should also document how to run Spark SQL on YARN when hive support is enabled. In particular how to add the necessary jars to spark-submit.



--
This message was sent by Atlassian JIRA
(v6.2#6252)