Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/14882#discussion_r76904694
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
---
@@ -406,13 +406,14 @@ 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 =>
--- End diff --
I still need to use `ask` since there are some places using
`ask(RemoveExecutor)`.
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