GitHub user gatorsmile opened a pull request:

    https://github.com/apache/spark/pull/15054

    [SPARK-17502] [SQL] Fix Multiple Bugs in DDL Statements on Temporary Views 
[WIP]

    ### What changes were proposed in this pull request?
    - When the permanent tables/views do not exist but the temporary view 
exists, the expected error should be `NoSuchTableException` for 
partition-related ALTER TABLE commands. However, it always reports a confusing 
error message. For example, 
    ```
    Partition spec is invalid. The spec (a, b) must match the partition spec () 
defined in table '`testview`';
    ```
    - When the permanent tables/views do not exist but the temporary view 
exists, the expected error should be `NoSuchTableException` for `ALTER TABLE 
... UNSET TBLPROPERTIES`. However, it reports a missing table property. 
However, the expected error should be `NoSuchTableException`. For example, 
    ```
    Attempted to unset non-existent property 'p' in table '`testView`';
    ```
    
    TODO: Trying to add more test cases for DDL processing over temporary 
views. 
    
    ### How was this patch tested?
    Added multiple test cases

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

    $ git pull https://github.com/gatorsmile/spark tempViewDDL

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

    https://github.com/apache/spark/pull/15054.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 #15054
    
----
commit cc47c3eb07a7628faa4277dd87c2837d01c4f175
Author: gatorsmile <gatorsm...@gmail.com>
Date:   2016-09-12T06:08:17Z

    fix

----


---
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