Ngone51 commented on a change in pull request #27773: [SPARK-29154][CORE]
Update Spark scheduler for stage level scheduling
URL: https://github.com/apache/spark/pull/27773#discussion_r389520065
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File path:
core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
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@@ -140,12 +141,12 @@ class CoarseGrainedSchedulerBackend(scheduler:
TaskSchedulerImpl, val rpcEnv: Rp
}
override def receive: PartialFunction[Any, Unit] = {
- case StatusUpdate(executorId, taskId, state, data, resources) =>
+ case StatusUpdate(executorId, taskId, state, data, taskCpus, resources)
=>
scheduler.statusUpdate(taskId, state, data.value)
if (TaskState.isFinished(state)) {
executorDataMap.get(executorId) match {
case Some(executorInfo) =>
- executorInfo.freeCores += scheduler.CPUS_PER_TASK
+ executorInfo.freeCores += taskCpus
Review comment:
We can get `taskCpus` through this executor's resource profile? e.g.
`sc.resourceProfileManager.taskCpusForProfileId(taskSetRpID)`
Thus, we don't need to pass `taskCpus` to executor.
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