java.lang.OutOfMemoryError: GC overhead limit exceeded

GitHub | car2008 | 6 months ago
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  1. 0

    GitHub comment 572#249369489

    GitHub | 6 months ago | car2008
    java.lang.OutOfMemoryError: GC overhead limit exceeded
  2. 0

    NullPointerException produced by com.mchange.v2.async.ThreadPoolAsynchronousRunner$PoolThread-#5

    Stack Overflow | 3 years ago | Vishal Singh
    java.lang.OutOfMemoryError: Java heap space </code></pre> <p>And </p> <pre><code> Exception in thread "http-8080-149" at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:489)
  3. 0

    java.lang.OutOfMemoryError: Java heap space | Oracle Community

    oracle.com | 12 months ago
    java.lang.OutOfMemoryError: Java heap space - - - -
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  5. 0

    [elasticsearch] server failed excpetion - Grokbase

    grokbase.com | 9 months ago
    java.lang.OutOfMemoryError: Java heap space at org.elasticsearch.common.compress.lzf.BufferRecycler.allocDecodeBuffer(BufferRecycler.java:150) at org.elasticsearch.common.io.stream.LZFStreamInput.<init>(LZFStreamInput.java:91) at org.elasticsearch.common.io.stream.CachedStreamInput.instance(CachedStreamInput.java:48) at org.elasticsearch.common.io.stream.CachedStreamInput.getCharArray(CachedStreamInput.java:79) at org.elasticsearch.common.io.stream.StreamInput.readUTF(StreamInput.java:160) at org.elasticsearch.common.io.stream.HandlesStreamInput.readUTF(HandlesStreamInput.java:49) at org.elasticsearch.action.index.IndexResponse.readFrom(IndexResponse.java:142) at org.elasticsearch.transport.netty.MessageChannelHandler.handleResponse(MessageChannelHandler.java:254) at org.elasticsearch.transport.netty.MessageChannelHandler.process(MessageChannelHandler.java:233) at org.elasticsearch.transport.netty.MessageChannelHandler.callDecode(MessageChannelHandler.java:141) at org.elasticsearch.transport.netty.MessageChannelHandler.messageReceived(MessageChannelHandler.java:95) at org.elasticsearch.common.netty.channel.SimpleChannelUpstreamHandler.handleUpstream(SimpleChannelUpstreamHandler.java:75) at org.elasticsearch.common.netty.channel.DefaultChannelPipeline.sendUpstream(DefaultChannelPipeline.java:564) at org.elasticsearch.common.netty.channel.DefaultChannelPipeline.sendUpstream(DefaultChannelPipeline.java:559) at org.elasticsearch.common.netty.channel.Channels.fireMessageReceived(Channels.java:268) at org.elasticsearch.common.netty.channel.Channels.fireMessageReceived(Channels.java:255) at org.elasticsearch.common.netty.channel.socket.nio.NioWorker.read(NioWorker.java:94) at org.elasticsearch.common.netty.channel.socket.nio.AbstractNioWorker.processSelectedKeys(AbstractNioWorker.java:364) at org.elasticsearch.common.netty.channel.socket.nio.AbstractNioWorker.run(AbstractNioWorker.java:238) at org.elasticsearch.common.netty.channel.socket.nio.NioWorker.run(NioWorker.java:38) at org.elasticsearch.common.netty.util.internal.DeadLockProofWorker$1.run(DeadLockProofWorker.java:42) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:885) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:907)
  6. 0

    RE: unknown issue in submitting a spark job

    apache.org | 1 year ago
    java.lang.OutOfMemoryError: GC overhead limit exceeded at > akka.actor.LightArrayRevolverScheduler$$anon$12.nextTick(Scheduler.scala:397) at > akka.actor.LightArrayRevolverScheduler$$anon$12.run(Scheduler.scala:363)

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    Root Cause Analysis

    1. java.lang.OutOfMemoryError

      GC overhead limit exceeded

      at org.apache.spark.serializer.DeserializationStream$$anon$2.getNext()
    2. Spark
      NextIterator.hasNext
      1. org.apache.spark.serializer.DeserializationStream$$anon$2.getNext(Serializer.scala:201)
      2. org.apache.spark.serializer.DeserializationStream$$anon$2.getNext(Serializer.scala:198)
      3. org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
      3 frames
    3. Scala
      Iterator$$anon$11.hasNext
      1. scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
      2. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
      2 frames
    4. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
      2. org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
      3. org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:152)
      4. org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:58)
      5. org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:83)
      6. org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:98)
      7. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      8. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      9. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      10. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      11. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      12. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      13. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      14. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      15. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      16. org.apache.spark.scheduler.Task.run(Task.scala:89)
      17. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      17 frames
    5. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames