GitHub user vanzin opened a pull request:

    https://github.com/apache/spark/pull/14542

    [SPARK-16930][yarn] Fix a couple of races in cluster app initialization.

    There are two narrow races that could cause the ApplicationMaster to miss
    when the user application instantiates the SparkContext, which could cause
    app failures when nothing was wrong with the app. It was also possible for
    a failing application to get stuck in the loop that waits for the context
    for a long time, instead of failing quickly.
    
    The change uses a promise to track the SparkContext instance, which gets
    rid of the races and allows for some simplification of the code.
    
    Tested with existing unit tests, and a new one being added to test the
    timeout code.

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

    $ git pull https://github.com/vanzin/spark SPARK-16930

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

    https://github.com/apache/spark/pull/14542.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 #14542
    
----
commit 854a53d76b36402b5291fb1bf5e243c7d7fbb122
Author: Marcelo Vanzin <van...@cloudera.com>
Date:   2016-08-08T17:30:05Z

    [SPARK-16930][yarn] Fix a couple of races in cluster app initialization.
    
    There are two narrow races that could cause the ApplicationMaster to miss
    when the user application instantiates the SparkContext, which could cause
    app failures when nothing was wrong with the app. It was also possible for
    a failing application to get stuck in the loop that waits for the context
    for a long time, instead of failing quickly.
    
    Tested with existing unit tests, and a new one being added to test the
    timeout code.

----


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