GitHub user petermaxlee opened a pull request:

    https://github.com/apache/spark/pull/14695

    [SPARK-17117][SQL] 1 / NULL should not fail analysis

    ## What changes were proposed in this pull request?
    This patch fixes the problem described in SPARK-17117, i.e. "SELECT 1 / 
NULL" throws an analysis exception:
    
    ```
    org.apache.spark.sql.AnalysisException: cannot resolve '(1 / NULL)' due to 
data type mismatch: differing types in '(1 / NULL)' (int and null).
    ```
    
    The problem is that division type coercion did not take null type into 
account.
    
    ## How was this patch tested?
    A unit test for the type coercion, and a few end-to-end test cases using 
SQLQueryTestSuite.

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

    $ git pull https://github.com/petermaxlee/spark SPARK-17117

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

    https://github.com/apache/spark/pull/14695.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 #14695
    
----
commit 34fddc7a10aa395a01687e040ef523df0bad1610
Author: petermaxlee <[email protected]>
Date:   2016-08-18T03:47:00Z

    [SPARK-17117][SQL] 1 / NULL should not fail analysis

commit a946269811540d6cdb2237c62f095f847b461cee
Author: petermaxlee <[email protected]>
Date:   2016-08-18T03:54:15Z

    Add end-to-end tests

----


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