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https://issues.apache.org/jira/browse/SPARK-13112?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or resolved SPARK-13112.
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Resolution: Fixed
Assignee: Shixiong Zhu
Fix Version/s: 2.0.0
Target Version/s: 2.0.0
> CoarsedExecutorBackend register to driver should wait Executor was ready
> ------------------------------------------------------------------------
>
> Key: SPARK-13112
> URL: https://issues.apache.org/jira/browse/SPARK-13112
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.6.0
> Reporter: SuYan
> Assignee: Shixiong Zhu
> Fix For: 2.0.0
>
>
> desc：
> due to some host's disk are busy, it will results failed in timeoutException
> while executor try to register to shuffler server on that host...
> and then it will exit(1) while launch task on a null executor.
> and yarn cluster resource are a little busy, yarn will thought that host is
> idle, it will prefer to allocate the same host executor, so it will have a
> chance that one task failed 4 times in the same host.
> currently, CoarsedExecutorBackend register to driver first, and after
> registerDriver successful, then initial Executor.
> if exception occurs in Executor initialization,
> But Driver don't know that event, will still launch task in that executor,
> then will call system.exit(1).
> {code}
> override def receive: PartialFunction[Any, Unit] = {
> case RegisteredExecutor(hostname) =>
> logInfo("Successfully registered with driver") executor = new
> Executor(executorId, hostname, env, userClassPath, isLocal = false)
> ......
> case LaunchTask(data) =>
> if (executor == null) {
> logError("Received LaunchTask command but executor was null")
> System.exit(1)
> {code}
> It is more reasonable to register with driver after Executor is ready... and
> make registerTimeout to be configurable...
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