Github user carsonwang commented on a diff in the pull request:
https://github.com/apache/spark/pull/11813#discussion_r56784342
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala ---
@@ -66,14 +66,16 @@ private[spark] class ApplicationMaster(
// allocation is enabled), with a minimum of 3.
private val maxNumExecutorFailures = {
- val defaultKey =
+ val effectiveNumExecutors =
--- End diff --
Ok, let's just leave this alone. For users encountering the issue in
Spark1.6, they can always manually set `spark.yarn.max.executor.failures` to a
larger number as a workaround. Thanks @srowen . I'll close this.
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