GitHub user timout opened a pull request:
https://github.com/apache/spark/pull/17619
[SPARK-19755][Mesos] Blacklist is always active for
MesosCoarseGrainedSchedulerBackend.
## What changes were proposed in this pull request?
MesosCoarseGrainedSchedulerBackend ignored spark.blacklist.enabled
configuration property and used hardcoded MAX_SLAVE_FAILURES = 2. The purpose
of that fix is to remove that hard-coded behaviour. BlacklistTracker is
resposible for blacklist functionality.
## How was this patch tested?
Unit tests, Manual testing.
This patch is a clean up. That functionality is tested by BlacklistTracker
tests.
Author: tabaku...@pulsepoint.com
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/timout/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17619.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 #17619
----
commit 70ed95ad8c73c1c1ff46dcf191b26f96c51ea09e
Author: antiout <uzb...@gmail.com>
Date: 2017-04-12T06:17:30Z
Removed hardcoded blacklist functionality, must be controled by
BlacklistTracker
commit 078634e63aaeacc1b2361a16e1999f0213284ecf
Author: antiout <uzb...@gmail.com>
Date: 2017-04-12T06:17:34Z
Merge remote-tracking branch 'upstream/master'
commit df2f319a518e1a533dae04d5d6bfa019a8b6845c
Author: antiout <uzb...@gmail.com>
Date: 2017-04-12T06:35:28Z
Removed hardcoded blacklist functionality, must be controled by
BlacklistTracker
----
---
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
