Github user sujith71955 commented on a diff in the pull request:
https://github.com/apache/spark/pull/22199#discussion_r212356336
--- 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 ($maxMem
MB) of this cluster! " +
"Please check the values of 'yarn.scheduler.maximum-allocation-mb'
and/or " +
- "'yarn.nodemanager.resource.memory-mb'.")
+ "'yarn.nodemanager.resource.memory-mb and increase the memory
appropriately.")
--- End diff --
Where as in the executor memory validation check we are displaying the
proper message considering both yarn.nodemanager.resource.memory-mb and
yarn.scheduler.maximum-allocation-mb
```
if (executorMem > maxMem) {
throw new IllegalArgumentException(s"Required executor memory
($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 and increase the memory
appropriately.")
}
```
so same message i think is required for am memory validation as well
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