Ngone51 commented on a change in pull request #25047: [WIP][SPARK-27371][CORE]
Support GPU-aware resources scheduling in Standalone
URL: https://github.com/apache/spark/pull/25047#discussion_r304912988
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File path: core/src/main/scala/org/apache/spark/deploy/master/WorkerInfo.scala
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@@ -40,13 +57,28 @@ private[spark] class WorkerInfo(
@transient var state: WorkerState.Value = _
@transient var coresUsed: Int = _
@transient var memoryUsed: Int = _
+ @transient var driverToResourcesUsed:
+ mutable.HashMap[String, Map[String, ResourceInformation]] = _
+ @transient var execToResourcesUsed:
+ mutable.HashMap[String, Map[String, ResourceInformation]] = _
@transient var lastHeartbeat: Long = _
init()
def coresFree: Int = cores - coresUsed
def memoryFree: Int = memory - memoryUsed
+ def resourcesFree: Map[String, Int] = {
+ resources.map { case (rName, rInfo) =>
+ rName -> rInfo.availableAddrs.length
+ }
+ }
+
+ def resourcesCanBeReleased: Map[String, ResourceInformation] = {
+ resources.map { case (rName, rInfo) =>
+ rName -> new ResourceInformation(rName, rInfo.availableAddrs.toArray)
Review comment:
This was really a bug. Thanks for catching it.
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