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_r307992521
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File path: core/src/main/scala/org/apache/spark/deploy/DeployMessage.scala
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@@ -110,6 +122,16 @@ private[deploy] object DeployMessages {
case class ReconnectWorker(masterUrl: String) extends DeployMessage
+ /**
+ * Ask the worker to release the indicated resources in
ALLOCATED_RESOURCES_JSON_FILE
+ * @param pid process id of the target worker
+ * @param toRelease the resources expected to release
+ */
+ case class ReleaseResources(
Review comment:
This is for a possible corner case that a worker lost with master but still
alive. In this case, pid cleaning seems doesn't work, right ?
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