Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5449#discussion_r28233526
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -94,6 +98,14 @@ private[yarn] class YarnAllocator(
// Additional memory overhead.
protected val memoryOverhead: Int =
sparkConf.getInt("spark.yarn.executor.memoryOverhead",
math.max((MEMORY_OVERHEAD_FACTOR * executorMemory).toInt,
MEMORY_OVERHEAD_MIN))
+
+ // Make the maximum executor failure check to be relative with respect
to duration
+ private val relativeMaxExecutorFailureCheck =
--- End diff --
Ah right, I had in my head this was streaming-specific for some reason. For
an app that may run forever, it seems like any maximum number of failures is
insufficient, and you'd want to disable this entirely. How about that?
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