GitHub user nongli opened a pull request:

    https://github.com/apache/spark/pull/11741

    [SPARK-13916][SQL] Add a metric to WholeStageCodegen to measure duration.

    ## What changes were proposed in this pull request?
    
    WholeStageCodegen naturally breaks the execution into pipelines that are 
easier to
    measure duration. This is more granular than the task timings (a task can 
be multiple
    pipelines) and is integrated with the web ui.
    
    We currently report total time (across all tasks), min/mask/median to get a 
sense of how long each is taking.
    
    ## How was this patch tested?
    
    Manually tested looking at the web ui.
    


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

    $ git pull https://github.com/nongli/spark spark-13916

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

    https://github.com/apache/spark/pull/11741.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 #11741
    
----
commit 76958d820f57d23e3cbb5b7205c680a5daea0499
Author: Nong Li <n...@databricks.com>
Date:   2016-03-15T16:59:08Z

    [SPARK-13916][SQL] Add a metric to WholeStageCodegen to measure duration.
    
    WholeStageCodegen naturally breaks the execution into pipelines that are 
easier to
    measure duration. This is more granular than the task timings (a task can 
be multiple
    pipelines) and is integrated with the web ui.

----


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