Github user sujith71955 commented on a diff in the pull request:
https://github.com/apache/spark/pull/22199#discussion_r212370528
--- Diff:
resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
---
@@ -338,13 +338,14 @@ private[spark] class Client(
throw new IllegalArgumentException(s"Required executor memory
($executorMemory" +
s"+$executorMemoryOverhead MB) is above the max threshold ($maxMem
MB) of this cluster! " +
"Please check the values of 'yarn.scheduler.maximum-allocation-mb'
and/or " +
- "'yarn.nodemanager.resource.memory-mb'.")
+ "'yarn.nodemanager.resource.memory-mb and increase the memory
appropriately.")
--- End diff --
Yes both settings has to be changed, but for the AM container memory
allocation validation only yarn.scheduler.maximum-allocation-mb parameter is
mentioned message does not indicate to increase
yarn.nodemanager.resource.memory-mb, in my change i updated this message by
including "yarn.nodemanager.resource.memory-mb" paramter
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