Skip to content

SKIPME Backport SPARK-1689: Spark application should die when removed by Master #8

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
markhamstra wants to merge 2 commits into from
Closed

SKIPME Backport SPARK-1689: Spark application should die when removed by Master #8

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
feaf86d
Trimmed down deb package
markhamstra Mar 26, 2014
53bccec
SPARK-1689: Spark application should die when removed by Master
aarondav May 20, 2014
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
SPARK-1689: Spark application should die when removed by Master 
scheduler.error() will mask the error if there are active tasks. Being removed is a cataclysmic event for Spark applications, and should probably be treated as such.

Author: Aaron Davidson <[email protected]>

Closes apache#832 from aarondav/i-love-u and squashes the following commits:

9f1200f [Aaron Davidson] SPARK-1689: Spark application should die when removed by Master

Conflicts:
	core/src/main/scala/org/apache/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala
  • Loading branch information
@aarondav @markhamstra
aarondav authored and markhamstra committed May 21, 2014
commit 53bccecb096c8acecd62d41525d4bb1af953c75f
2 changes: 2 additions & 0 deletions core/src/main/scala/org/apache/spark/scheduler/cluster/SparkDeploySchedulerBackend.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -79,6 +79,8 @@ private[spark] class SparkDeploySchedulerBackend(
if (!stopping) {
logError("Spark cluster looks dead, giving up.")
scheduler.error("Spark cluster looks down")
// Ensure the application terminates, as we can no longer run jobs.
sc.stop()
}
}

Expand Down