Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/21758#discussion_r209652176
--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -1349,6 +1339,29 @@ class DAGScheduler(
s"longer running")
}
+ if (mapStage.rdd.isBarrier()) {
--- End diff --
I'd also like to see a test case for what happens if you do not have enough
compute resources after a stage failure. After all, one of the key reasons for
multiple stage attempts is hardware failure -- so you might have had just
enough resources to run your barrier stage with 20 executors on the first
attempt, but on the second-attempt you're down to 19, and can't run it anymore.
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