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https://issues.apache.org/jira/browse/SPARK-22653?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22653:
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Assignee: (was: Apache Spark)
> executorAddress registered in CoarseGrainedSchedulerBackend.executorDataMap
> is null
> -----------------------------------------------------------------------------------
>
> Key: SPARK-22653
> URL: https://issues.apache.org/jira/browse/SPARK-22653
> Project: Spark
> Issue Type: Bug
> Components: Scheduler
> Affects Versions: 2.2.0
> Reporter: Thomas Graves
>
> In CoarseGrainedSchedulerBackend.RegisterExecutor the executor data address
> (executorRef.address) can be null.
> val data = new ExecutorData(executorRef, executorRef.address, hostname,
> cores, cores, logUrls)
> At this point the executorRef.address can be null, there is actually code
> above it that handles this case:
> // If the executor's rpc env is not listening for incoming connections,
> `hostPort`
> // will be null, and the client connection should be used to
> contact the executor.
> val executorAddress = if (executorRef.address != null) {
> executorRef.address
> } else {
> context.senderAddress
> }
> But it doesn't use executorAddress when it creates the ExecutorData.
> This causes removeExecutor to never remove it properly from
> addressToExecutorId.
> addressToExecutorId -= executorInfo.executorAddress
> This is also a memory leak and can also call onDisconnected to call
> disableExecutor when it shouldn't.
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