mengxr commented on a change in pull request #24406: [SPARK-27024] Executor
interface for cluster managers to support GPU and other resources
URL: https://github.com/apache/spark/pull/24406#discussion_r282955997
##########
File path:
core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
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@@ -71,6 +82,99 @@ private[spark] class CoarseGrainedExecutorBackend(
}(ThreadUtils.sameThread)
}
+ // Check that the executor resources at startup will satisfy the user
specified task
+ // requirements (spark.task.resource.*) and that they match the executor
configs
+ // specified by the user (spark.executor.resource.*) to catch mismatches
between what
+ // the user requested and what resource manager gave or what the discovery
script found.
+ private def checkExecResourcesMeetTaskRequirements(
Review comment:
We can have a general function works for both driver and executor.
Essentially, the request is `resourcePrefix -> count` and the resource is
`resourcePrefix -> addresses`. If they don't match, we just include
`resourcePrefix` in the error message, which is clear to users whether it is
driver or executor.
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