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From "Saisai Shao (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-18673) Dataframes doesn't work on Hadoop 3.x; Hive rejects Hadoop version
Date Fri, 02 Mar 2018 00:31:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-18673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16382929#comment-16382929
] 

Saisai Shao commented on SPARK-18673:
-------------------------------------

Spark itself uses it own hive (1.2.1.spark2), I think we need to port HIVE-15016 to this hive
(1.2.1.spark2) to make it work with Hadoop 3.

[~aihuaxu] is HIVE-15016 the only fix to support Hadoop3.x, or there still has followup fixes?

> Dataframes doesn't work on Hadoop 3.x; Hive rejects Hadoop version
> ------------------------------------------------------------------
>
>                 Key: SPARK-18673
>                 URL: https://issues.apache.org/jira/browse/SPARK-18673
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>         Environment: Spark built with -Dhadoop.version=3.0.0-alpha2-SNAPSHOT 
>            Reporter: Steve Loughran
>            Priority: Major
>
> Spark Dataframes fail to run on Hadoop 3.0.x, because hive.jar's shimloader considers
3.x to be an unknown Hadoop version.
> Hive itself will have to fix this; as Spark uses its own hive 1.2.x JAR, it will need
to be updated to match.



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