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[SPARK-17316][Core] Make CoarseGrainedSchedulerBackend.removeExecutor non-blocking #14882

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[SPARK-17316][Core] Make CoarseGrainedSchedulerBackend.removeExecutor non-blocking #14882

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dac8aa9
Don't block StandaloneSchedulerBackend.executorRemoved
zsxwing Aug 30, 2016
142de67
Add the return type
zsxwing Aug 30, 2016
dcd15e8
Use send for removeExecutor
zsxwing Aug 31, 2016
50b831f
Remove wrong comment
zsxwing Aug 31, 2016
fa724dc
remove imports
zsxwing Aug 31, 2016
0cfc282
Change back to use ask
zsxwing Aug 31, 2016
489dd8d
Add ExecutionContext
zsxwing Aug 31, 2016
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17 changes: 9 additions & 8 deletions core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -406,14 +406,15 @@ class CoarseGrainedSchedulerBackend(scheduler: TaskSchedulerImpl, val rpcEnv: Rp
conf.getInt("spark.default.parallelism", math.max(totalCoreCount.get(), 2))
}

// Called by subclasses when notified of a lost worker
def removeExecutor(executorId: String, reason: ExecutorLossReason) {
try {
driverEndpoint.askWithRetry[Boolean](RemoveExecutor(executorId, reason))
} catch {
case e: Exception =>
throw new SparkException("Error notifying standalone scheduler's driver endpoint", e)
}
/**
* Called by subclasses when notified of a lost worker. It just fires the message and returns
* at once.
*/
protected def removeExecutor(executorId: String, reason: ExecutorLossReason): Unit = {
// Only log the failure since we don't care about the result.
driverEndpoint.ask(RemoveExecutor(executorId, reason)).onFailure { case t =>
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I still need to use ask since there are some places using ask(RemoveExecutor).

logError(t.getMessage, t)
}(ThreadUtils.sameThread)
}

def sufficientResourcesRegistered(): Boolean = true
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