GitHub user ggupta81 opened a pull request:

    https://github.com/apache/spark/pull/7928

    Fixed First and Last aggregates to calculate on GroupedData partition 
instead of entire dataFrame

    JIRA: SPARK-9592
    In current implementation, First and Last aggregates were calculating the 
values for entire DataFrame partition and then the same value was returned for 
all GroupedData in the partition.
    Fixed the First and Last aggregates to compute first and last value per 
GroupedData instead of entire DataFrame.

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

    $ git pull https://github.com/ggupta81/spark master

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

    https://github.com/apache/spark/pull/7928.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 #7928
    
----
commit 5dfd2b8873fe9435a8ca6d50269a64bde6b307e4
Author: Gaurav Gupta <[email protected]>
Date:   2015-08-04T09:42:46Z

    Modified First and Last aggregates to calculate on GroupedData partition 
and not on entire DataFrame partition.

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