GitHub user sirpkt opened a pull request:

    https://github.com/apache/spark/pull/7119

    [SPARK-8728] Add configuration for limiting the maximum number of active 
stages in a fair scheduling queue

    It only takes predefined number of Schedulables in getSortedTaskSetQueue.
    
    'maxRunning' is added in fair scheduler configuration to limit the maximum 
number of concurrently running stages.
    If 'maxRunning' is not set, no limitation is applied.

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

    $ git pull https://github.com/sirpkt/spark SPARK-8728

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

    https://github.com/apache/spark/pull/7119.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 #7119
    
----
commit 4988a721a284bc5cb2ce05a3d4df8040cc98d872
Author: Keuntae Park <sir...@apache.org>
Date:   2015-06-26T04:40:16Z

    add limitation on the number of TaskSetManagers scheduled concurrently

commit e59ee3e44d03d4ad8505a32333ae89956c7be9d3
Author: Keuntae Park <sir...@gmail.com>
Date:   2015-06-30T08:12:57Z

    Merge remote-tracking branch 'upstream/master' into limitMaxRunning

commit 7f620705efb11241312a0916580b28c97a4f24bc
Author: Keuntae Park <sir...@gmail.com>
Date:   2015-06-30T08:13:40Z

    reflect in web UI and refine the test code

commit a8392108749cc93d7bdf1355bb065614fd4b1c07
Author: Keuntae Park <sir...@gmail.com>
Date:   2015-06-30T08:47:22Z

    change test name

----


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to