java.lang.OutOfMemoryError: Java heap space

Apache's JIRA Issue Tracker | Josh Rosen | 2 years ago
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  1. 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)
  2. 0

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

    oracle.com | 1 year ago
    java.lang.OutOfMemoryError: Java heap space - - - -
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  4. 0

    [elasticsearch] server failed excpetion - Grokbase

    grokbase.com | 10 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)
  5. 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

      Java heap space

      at scala.reflect.ManifestFactory$$anon$10.newArray()
    2. Scala
      ManifestFactory$$anon$10.newArray
      1. scala.reflect.ManifestFactory$$anon$10.newArray(Manifest.scala:122)
      2. scala.reflect.ManifestFactory$$anon$10.newArray(Manifest.scala:120)
      2 frames
    3. Spark
      OpenHashSet.rehashIfNeeded$mcJ$sp
      1. org.apache.spark.util.collection.OpenHashSet.rehash(OpenHashSet.scala:231)
      2. org.apache.spark.util.collection.OpenHashSet.rehashIfNeeded(OpenHashSet.scala:166)
      3. org.apache.spark.util.collection.OpenHashSet.rehashIfNeeded$mcJ$sp(OpenHashSet.scala:164)
      3 frames
    4. Spark Project GraphX
      GraphImpl$$anonfun$4.apply
      1. org.apache.spark.graphx.util.collection.GraphXPrimitiveKeyOpenHashMap$mcJI$sp.changeValue$mcJI$sp(GraphXPrimitiveKeyOpenHashMap.scala:107)
      2. org.apache.spark.graphx.impl.EdgePartitionBuilder.toEdgePartition(EdgePartitionBuilder.scala:58)
      3. org.apache.spark.graphx.impl.GraphImpl$$anonfun$4.apply(GraphImpl.scala:115)
      4. org.apache.spark.graphx.impl.GraphImpl$$anonfun$4.apply(GraphImpl.scala:109)
      4 frames
    5. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$18.apply(RDD.scala:727)
      2. org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$18.apply(RDD.scala:727)
      3. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      4. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
      5. org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
      6. org.apache.spark.rdd.RDD.iterator(RDD.scala:262)
      7. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      8. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
      9. org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
      10. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
      11. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
      12. org.apache.spark.scheduler.Task.run(Task.scala:88)
      13. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      13 frames
    6. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames