java.lang.InterruptedException

This exception has no message.

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Spark was running out of memory.

Spark ran out of memory

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Solutions on the web1445

  • via Coderanch by Somaiah, 11 months ago
    This exception has no message.
  • via Coderanch by Vijay Venkat, 11 months ago
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  • This exception has no message.
  • Stack trace

    • java.lang.InterruptedException at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:998)[?:1.8.0_60] at java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1304)[?:1.8.0_60] at com.google.common.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:285)[guava-16.0.1.jar:?] at com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:116)[guava-16.0.1.jar:?] at io.druid.indexing.kafka.supervisor.KafkaSupervisor.checkTaskDuration(KafkaSupervisor.java:887)[druid-kafka-indexing-service-0.9.2-SNAPSHOT.jar:0.9.2-SNAPSHOT] at io.druid.indexing.kafka.supervisor.KafkaSupervisor.gracefulShutdownInternal(KafkaSupervisor.java:499)[druid-kafka-indexing-service-0.9.2-SNAPSHOT.jar:0.9.2-SNAPSHOT] at io.druid.indexing.kafka.supervisor.KafkaSupervisor$GracefulShutdownNotice.handle(KafkaSupervisor.java:463)[druid-kafka-indexing-service-0.9.2-SNAPSHOT.jar:0.9.2-SNAPSHOT] at io.druid.indexing.kafka.supervisor.KafkaSupervisor$2.run(KafkaSupervisor.java:299)[druid-kafka-indexing-service-0.9.2-SNAPSHOT.jar:0.9.2-SNAPSHOT] at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)[?:1.8.0_60] at java.util.concurrent.FutureTask.run(FutureTask.java:266)[?:1.8.0_60] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)[?:1.8.0_60] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)[?:1.8.0_60] at java.lang.Thread.run(Thread.java:745)[?:1.8.0_60]

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