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https://issues.apache.org/jira/browse/HIVE-11378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14975283#comment-14975283
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Lefty Leverenz commented on HIVE-11378:
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Doc note: A search of the Hive wiki for "-Phadoop-2" turns up five docs, four
of which might need revisions.
* [Hive wiki search |
https://cwiki.apache.org/confluence/dosearchsite.action?queryString=%22-Phadoop-2%22&startIndex=0&type=page&where=Hive]
# https://cwiki.apache.org/confluence/display/Hive/HiveDeveloperFAQ (13
instances)
# https://cwiki.apache.org/confluence/display/Hive/HowToRelease (4 instances)
# https://cwiki.apache.org/confluence/display/Hive/HowToContribute (1 instance)
# https://cwiki.apache.org/confluence/display/Hive/GettingStarted (1 instance)
# https://cwiki.apache.org/confluence/display/Hive/Hive+0.13+release+status
(irrelevant)
Other docs to revise:
#
https://cwiki.apache.org/confluence/display/Hive/GettingStarted#GettingStarted-Requirements
#
https://cwiki.apache.org/confluence/display/Hive/AdminManual+Installation#AdminManualInstallation-InstallingHive
# perhaps https://cwiki.apache.org/confluence/display/Hive/Home
#*
https://cwiki.apache.org/confluence/display/Hive/Home#Home-HiveVersionsandBranches
> Remove hadoop-1 support from master branch
> ------------------------------------------
>
> Key: HIVE-11378
> URL: https://issues.apache.org/jira/browse/HIVE-11378
> Project: Hive
> Issue Type: Task
> Components: Build Infrastructure
> Affects Versions: 2.0.0
> Reporter: Alan Gates
> Assignee: Alan Gates
> Labels: TODOC2.0
> Fix For: 2.0.0
>
> Attachments: HIVE-11378.2.patch, HIVE-11378.3.patch,
> HIVE-11378.4.patch, HIVE-11378.5.patch, HIVE-11378.patch
>
>
> When we branched branch-1 one of the goals was the ability to remove hadoop1
> support from master. I propose to do this softly at first by removing it
> from the poms removing the 20S implementation of the shims.
> I am not going to remove the shim layer. That would be much more disruptive.
> Also, I haven't done the homework to see if we could, as there may still be
> incompatibility issues between various versions of hadoop2.
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