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 nabble.com by Unknown author, 1 year ago
via lucene-solr-user by Trey, 1 year ago
via Stack Overflow by amaebi
, 2 years ago
via lucene-solr-dev by Ravi Gidwani (JIRA), 1 year ago
via lucene-solr-user by feedly team, 1 year ago
java.lang.InterruptedException: 	at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:996)	at java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1303)	at java.util.concurrent.CountDownLatch.await(CountDownLatch.java:236)	at org.apache.solr.handler.SnapPuller.reloadCore(SnapPuller.java:718)	at org.apache.solr.handler.SnapPuller.fetchLatestIndex(SnapPuller.java:473)	at org.apache.solr.handler.ReplicationHandler.doFetch(ReplicationHandler.java:322)	at org.apache.solr.handler.SnapPuller$1.run(SnapPuller.java:223)	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)	at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304)	at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178)	at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)	at java.lang.Thread.run(Thread.java:745)