Github user darabos commented on a diff in the pull request:
https://github.com/apache/spark/pull/1329#discussion_r14665377
--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -768,6 +768,10 @@ class DAGScheduler(
abortStage(stage, "Task not serializable: " + e.toString)
runningStages -= stage
return
+ case e: Throwable => // Other exceptions, such as
IllegalArgumentException from Kryo.
--- End diff --
I suspect you are testing this on 2.10. Looks like a change in 2.11:
https://github.com/scala/scala/commit/64603653f82082431941cb29ad317b669822f28e#diff-ff42321ce198f97308744271b7e17c76
I think their argument applies to Spark too. Sounds like it is not safe to
try and recover from StackOverflowError.
Thanks for the comments! I'll update the pull request in a moment.
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