Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/3082#discussion_r19779445
--- Diff:
core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala ---
@@ -124,6 +126,22 @@ private[spark] class ExecutorAllocationManager(sc:
SparkContext) extends Logging
throw new SparkException(s"spark.dynamicAllocation.minExecutors
($minNumExecutors) must " +
s"be less than or equal to spark.dynamicAllocation.maxExecutors
($maxNumExecutors)!")
}
+ // Verify that timeouts are positive
+ if (schedulerBacklogTimeout <= 0) {
+ throw new
SparkException(s"spark.dynamicAllocation.schedulerBacklogTimeout must be > 0!")
+ }
+ if (sustainedSchedulerBacklogTimeout <= 0) {
+ throw new SparkException(
+ s"spark.dynamicAllocation.sustainedSchedulerBacklogTimeout must be
> 0!")
+ }
+ if (executorIdleTimeout <= 0) {
+ throw new
SparkException(s"spark.dynamicAllocation.executorIdleTimeout must be > 0!")
+ }
+ // Verify that external shuffle service is enabled
+ if (!conf.getBoolean("spark.shuffle.service.enabled", false)) {
+ throw new SparkException(s"Dynamic allocation of executors requires
the external " +
+ s"shuffle service. You may enable this through
spark.shuffle.service.enabled.")
--- End diff --
At this point, is there any sense in having two separate settings that need
to be set in tandem? Couldn't we just base everything on whether dynamic
executor allocation is enabled or not?
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