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From Ru-Xiang <>
Subject [GitHub] spark pull request #16033: SPARK-18607 get a result on a percent of the task...
Date Mon, 28 Nov 2016 11:16:40 GMT
GitHub user Ru-Xiang opened a pull request:

    SPARK-18607 get a result on a percent of the tasks succeed

    ## What changes were proposed in this pull request?
    In this patch, we modify the codes corresponding to runApproximateJob so that we can get
a result when the specified percent of tasks succeed.
    In a production environment, 'long tail' is a common urgent problem. In practice, as long
as we can get a specified percent of tasks' results, we can guarantee the final results. And
this is a common requirement in the practice of machine learning algorithms.
    ## How was this patch tested?
    We compile the codes by dev/, and deploy it on a cluster. and run
a test codes reduce on the cluster, and we get the desired results.

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

    $ git pull my_change

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

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #16033


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