GitHub user kevinmcinerney opened a pull request:

    https://github.com/apache/spark/pull/17576

    Update Dataset to camel case (DataSet) to match DataFrames

    Shouldn't Datasets and DataFrames both be camel case for the ocd ppl out 
there?
    
    ## What changes were proposed in this pull request?
    
    (Please fill in changes proposed in this fix)
    
    ## How was this patch tested?
    
    (Please explain how this patch was tested. E.g. unit tests, integration 
tests, manual tests)
    (If this patch involves UI changes, please attach a screenshot; otherwise, 
remove this)
    
    Please review http://spark.apache.org/contributing.html before opening a 
pull request.


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

    $ git pull https://github.com/kevinmcinerney/spark patch-1

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

    https://github.com/apache/spark/pull/17576.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 #17576
    
----
commit 2e00ad22b1b57bb87914ec16582c033f84cf4a17
Author: Kevin Mc Inerney <[email protected]>
Date:   2017-04-08T17:54:19Z

    Update Dataset to camel case (DataSet) to match DataFrames
    
    Shouldn't Datasets and DataFrames both be camel case for the ocd ppl out 
there?

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