Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/16650#discussion_r98126123
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
---
@@ -148,6 +153,14 @@ class CoarseGrainedSchedulerBackend(scheduler:
TaskSchedulerImpl, val rpcEnv: Rp
if (executorDataMap.contains(executorId)) {
executorRef.send(RegisterExecutorFailed("Duplicate executor ID:
" + executorId))
context.reply(true)
+ } else if (scheduler.nodeBlacklist != null &&
+ scheduler.nodeBlacklist.contains(hostname)) {
+ // If the cluster manager gives us an executor on a blacklisted
node (because it
+ // already started allocating those resources before we informed
it of our blacklist,
+ // or if it ignored our blacklist), then we reject that executor
immediately.
+ logInfo(s"Rejecting $executorId as it has been blacklisted.")
+ executorRef.send(RegisterExecutorFailed("Executor is
blacklisted: " + executorId))
--- End diff --
nit: use interpolation for consistency.
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