You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Aihua Xu (JIRA)" <ji...@apache.org> on 2017/11/01 20:20:00 UTC
[jira] [Commented] (SPARK-18673) Dataframes doesn't work on Hadoop
3.x; Hive rejects Hadoop version
[ https://issues.apache.org/jira/browse/SPARK-18673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16234679#comment-16234679 ]
Aihua Xu commented on SPARK-18673:
----------------------------------
Hive is working on the Hadoop3.x support (HIVE-15016).
> 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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org