Searched on Google with the first line of a JAVA stack trace?

We can recommend more relevant solutions and speed up debugging when you paste your entire stack trace with the exception message. Try a sample exception.

Recommended solutions based on your search

Samebug tips

  1. ,
    via activeintelligence.org by Unknown author

    Spark was running out of memory.

  2. ,
    via activeintelligence.org by Unknown author

    Spark ran out of memory

Solutions on the web

via GitHub by pjain1
, 1 year ago
This exception has no message.
via GitHub by dborowitz
, 2 years ago
This exception has no message.
via GitHub by crivano
, 1 year ago
This exception has no message.
via Stack Overflow by jordanpg
, 2 years ago
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]