mengxr commented on a change in pull request #24374: [SPARK-27366][CORE]
Support GPU Resources in Spark job scheduling
URL: https://github.com/apache/spark/pull/24374#discussion_r289196660
##########
File path:
core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
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@@ -263,7 +272,7 @@ class CoarseGrainedSchedulerBackend(scheduler:
TaskSchedulerImpl, val rpcEnv: Rp
val workOffers = activeExecutors.map {
case (id, executorData) =>
new WorkerOffer(id, executorData.executorHost,
executorData.freeCores,
- Some(executorData.executorAddress.hostPort))
+ Some(executorData.executorAddress.hostPort),
executorData.availableResources.toMap)
Review comment:
Discuss with @jiangxb1987 offline. Instead of a deep copy that might be
costly, he will provide a read-only view in work offers.
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