Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/9758#discussion_r45134450
--- Diff: yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala ---
@@ -258,7 +258,8 @@ private[spark] class Client(
if (executorMem > maxMem) {
throw new IllegalArgumentException(s"Required executor memory
(${args.executorMemory}" +
s"+$executorMemoryOverhead MB) is above the max threshold ($maxMem
MB) of this cluster! " +
- "Please increase the value of
'yarn.scheduler.maximum-allocation-mb'.")
+ "Please increase the value of
'yarn.scheduler.maximum-allocation-mb' and" +
--- End diff --
I've switched it to and/or + check the values. I think its a useful error
for people trying to run Spark on YARN who might not know what the
configuration params are they need here (much better than the alternative of
dumping a stack trace to nowhere in particular).
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