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From "Saisai Shao (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
Date Tue, 20 Mar 2018 00:37:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16405649#comment-16405649
] 

Saisai Shao commented on SPARK-23534:
-------------------------------------

I'm trying to move forward this in the community. But due to the block issue of SPARK-18673,
it is hard to make any progress without that fixed.

[~Bidek] The community support of Hadoop 3.0 in Spark may not be delivered soon. I would suggest
you to take a look at vendor's released distribution, which will ship Spark with Hadoop 3.0
support.

> Spark run on Hadoop 3.0.0
> -------------------------
>
>                 Key: SPARK-23534
>                 URL: https://issues.apache.org/jira/browse/SPARK-23534
>             Project: Spark
>          Issue Type: Improvement
>          Components: Build
>    Affects Versions: 2.3.0
>            Reporter: Saisai Shao
>            Priority: Major
>
> Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make sure Spark
can run with Hadoop 3.0. This Jira tracks the work to make Spark run on Hadoop 3.0.
> The work includes:
>  # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0.
>  # Test to see if there's dependency issues with Hadoop 3.0.
>  # Investigating the feasibility to use shaded client jars (HADOOP-11804).



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