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https://issues.apache.org/jira/browse/HIVE-6486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14085186#comment-14085186
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Lefty Leverenz commented on HIVE-6486:
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[~shivshi], here's how you can get edit privilege for the wiki (as described on
the "About This Wiki" page):
{quote}
- Create a Confluence account if you don't already have one.
- Sign up for the user mailing list by sending a message to
[email protected].
- Send a message to [email protected] requesting write access to the Hive
wiki, and provide your Confluence usename.
{quote}
* [About This Wiki -- How to get permission to edit |
https://cwiki.apache.org/confluence/display/Hive/AboutThisWiki#AboutThisWiki-Howtogetpermissiontoedit]
* [Confluence account | https://cwiki.apache.org/confluence/signup.action]
> Support secure Subject.doAs() in HiveServer2 JDBC client.
> ---------------------------------------------------------
>
> Key: HIVE-6486
> URL: https://issues.apache.org/jira/browse/HIVE-6486
> Project: Hive
> Issue Type: Improvement
> Components: Authentication, HiveServer2, JDBC
> Affects Versions: 0.11.0, 0.12.0
> Reporter: Shivaraju Gowda
> Assignee: Shivaraju Gowda
> Fix For: 0.13.0
>
> Attachments: HIVE-6486.1.patch, HIVE-6486.2.patch, HIVE-6486.3.patch,
> HIVE-6486_Hive0.11.patch, TestCase_HIVE-6486.java
>
>
> HIVE-5155 addresses the problem of kerberos authentication in multi-user
> middleware server using proxy user. In this mode the principal used by the
> middle ware server has privileges to impersonate selected users in
> Hive/Hadoop.
> This enhancement is to support Subject.doAs() authentication in Hive JDBC
> layer so that the end users Kerberos Subject is passed through in the middle
> ware server. With this improvement there won't be any additional setup in the
> server to grant proxy privileges to some users and there won't be need to
> specify a proxy user in the JDBC client. This version should also be more
> secure since it won't require principals with the privileges to impersonate
> other users in Hive/Hadoop setup.
>
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