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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