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[SPARK-25073][Yarn] AM and Executor Memory validation message is not proper while submitting spark yarn application #22199

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[SPARK-25073][Yarn] AM and Executor Memory validation message is not proper while submitting spark yarn application #22199

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[SPARK-25073][SQL]When wild card is been used in load command system … 
…is throwing analysis exception

## What changes were proposed in this pull request?
[SPARK-25073][Yarn] AM and Executor Memory validation message is not proper while submitting spark yarn applicationWhen the yarn.nodemanager.resource.memory-mb or yarn.scheduler.maximum-allocation-mb memory assignment is insufficient,
Spark always reports an error request to adjust yarn.scheduler.maximum-allocation-mbeven though in message it shows the memory value of yarn.nodemanager.resource.memory-mb.As the error Message is bit misleading to the user
we can modify the same, We can keep the error message same as executor memory validation message.

## How was this patch tested?
Manually tested in hdfs-Yarn clustaer
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@sujith71955
sujith71955 committed Aug 24, 2018
commit 3f4051cd0895debe1c4feeee288890b397d5dfe1
3 changes: 2 additions & 1 deletion resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -344,7 +344,8 @@ private[spark] class Client(
if (amMem > maxMem) {
throw new IllegalArgumentException(s"Required AM memory ($amMemory" +
s"+$amMemoryOverhead MB) is above the max threshold ($maxMem MB) of this cluster! " +
"Please increase the value of 'yarn.scheduler.maximum-allocation-mb'.")
"Please check the values of 'yarn.scheduler.maximum-allocation-mb' and/or " +
"'yarn.nodemanager.resource.memory-mb'.")
}
logInfo("Will allocate AM container, with %d MB memory including %d MB overhead".format(
amMem,
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