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https://issues.apache.org/jira/browse/YARN-6094?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15830692#comment-15830692
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Sangjin Lee commented on YARN-6094:
-----------------------------------

I see that hfile.format.version = 3 is actually being used in multiple places 
in the unit tests. But it also appears that the default value in 
{{hbase-default.xml}} is 3. It also states
{noformat}
  <property>
      <name>hfile.format.version</name>
      <value>3</value>
      <description>The HFile format version to use for new files.
      Version 3 adds support for tags in hfiles (See 
http://hbase.apache.org/book.html#hbase.tags).
      Distributed Log Replay requires that tags are enabled. Also see the 
configuration
      'hbase.replication.rpc.codec'.
      </description>
  </property>
{noformat}

It seems to me that the timeline service requires this to be 3 because we're 
relying on tags, right? Then should we add this requirement to the 
documentation? If needed, I suppose doing this as part of the documentation 
update JIRA is an option.

> Update the coprocessor to be a dynamically loaded one
> -----------------------------------------------------
>
>                 Key: YARN-6094
>                 URL: https://issues.apache.org/jira/browse/YARN-6094
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>            Reporter: Vrushali C
>            Assignee: Vrushali C
>              Labels: yarn-5355-merge-blocker
>         Attachments: YARN-6094.001.patch, YARN-6094-YARN-5355.001.patch, 
> YARN-6094-YARN-5355.002.patch, YARN-6094-YARN-5355.003.patch, 
> YARN-6094-YARN-5355.004.patch
>
>
> The timeline service v2 code base on yarn now uses hbase 1.2.4 after 
> YARN-5976. 
> With this version of hbase, system classes (starting with org.apache.hadoop) 
> can be loaded as table level coprocessors. Hence we should update the 
> timeline service coprocessor to be a dynamically loaded one instead of static 
> loading. 
> This involves code changes as well as documentation updates for deployment.



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