java.lang.OutOfMemoryError: array size too large

GitHub | Mrswesnod | 2 years ago
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  1. 0

    GitHub comment 3#59067852

    GitHub | 2 years ago | Mrswesnod
    java.lang.OutOfMemoryError: array size too large
  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

      array size too large

      at Packet.TransportPacket.dataFilling()
    2. Packet
      TransportPacket.parse
      1. Packet.TransportPacket.dataFilling(TransportPacket.java:122)
      2. Packet.TransportPacket.parse(TransportPacket.java:78)
      2 frames
    3. in
      Demux.receive
      1. in.Demux.receive(Demux.java:56)
      1 frame
    4. out
      Connection.getInstruction
      1. out.Connection.getInstruction(Connection.java:94)
      1 frame
    5. my.app.client
      Client$2.run
      1. my.app.client.Client.waitInstruction(Client.java:157)
      2. my.app.client.Client$2.run(Client.java:98)
      2 frames
    6. Java RT
      Thread.run
      1. java.lang.Thread.run(Thread.java:1096)
      1 frame