srowen 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_r281381757
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File path:
core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
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@@ -44,9 +52,12 @@ private[spark] class CoarseGrainedExecutorBackend(
hostname: String,
cores: Int,
userClassPath: Seq[URL],
- env: SparkEnv)
+ env: SparkEnv,
+ resourcesFile: Option[String])
Review comment:
Is it correct to say this is only used in standalone mode? this is how the
master tells executors what resource it can use? if that's right, how would
this work for other resource managers -- simply, in some other RM-specific way?
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