GitHub user wesolowskim opened a pull request:

    https://github.com/apache/spark/pull/14137

    SPARK-16478 graphX (added graph caching in strongly connected components)

    ## What changes were proposed in this pull request?
    
    I added caching in every iteration for sccGraph that is returned in 
strongly connected components. Without this cache strongly connected components 
returned graph that needed to be computed from scratch when some intermediary 
caches didn't existed anymore. 
    
    ## How was this patch tested?
    I tested it by running code similar to the one  [on 
databrics](https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/4889410027417133/3634650767364730/3117184429335832/latest.html).
 Basically I generated large graph  and computed strongly connected components 
with changed code, than simply run count on vertices and edges. Count after 
this update takes few seconds instead 20 minutes. 
    
    # statement
    contribution is my original work and I license the work to the project 
under the project's open source license.


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

    $ git pull https://github.com/wesolowskim/spark SPARK-16478

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

    https://github.com/apache/spark/pull/14137.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 #14137
    
----
commit f9e28830755535926f7792375cedadb0518ecb31
Author: Michał Wesołowski <michal.wesolow...@bzwbk.pl>
Date:   2016-07-11T11:20:26Z

    corrected SPARK-16478 (caching in strongly connected components)

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