GitHub user dongjoon-hyun opened a pull request:

    https://github.com/apache/spark/pull/17311

    [SPARK-19970][SQL] Table owner should be USER instead of PRINCIPAL in 
kerberized clusters

    ## What changes were proposed in this pull request?
    
    In the kerberized hadoop cluster, when Spark creates tables, the owner of 
tables are filled with PRINCIPAL strings instead of USER names. This is 
inconsistent with Hive and causes problems when using ROLE in Hive. We had 
better to fix this.
    
    **BEFORE**
    ```scala
    scala> sql("create table t(a int)").show
    scala> sql("desc formatted t").show(false)
    ...
    |Owner:                      |sp...@example.com                             
            |       |
    ```
    
    **AFTER**
    ```scala
    scala> sql("create table t(a int)").show
    scala> sql("desc formatted t").show(false)
    ...
    |Owner:                      |spark                                         
|       |
    ```
    
    ## How was this patch tested?
    
    Manually `create table` and `desc formatted` because this happens in 
Kerberized clusters.


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/dongjoon-hyun/spark SPARK-19970

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/17311.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #17311
    
----
commit 9dfbf828be5fc99811529ae988b3ffa8fa39fcb7
Author: Dongjoon Hyun <dongj...@apache.org>
Date:   2017-03-16T09:12:37Z

    [SPARK-19970][SQL] Table owner should be USER instead of PRINCIPAL in 
kerberized clusters

----


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to