Created
April 24, 2015 22:03
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kafka-oom
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15/04/24 15:02:33 INFO consumer.SimpleConsumer: Reconnect due to socket error: java.lang.OutOfMemoryError: Java heap space [25/1940]15/04/24 15:02:36 ERROR network.BoundedByteBufferReceive: OOME with size 14680400 | |
java.lang.OutOfMemoryError: Java heap space | |
at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57) | |
at java.nio.ByteBuffer.allocate(ByteBuffer.java:331) | |
at kafka.network.BoundedByteBufferReceive.byteBufferAllocate(BoundedByteBufferReceive.scala:80) | |
at kafka.network.BoundedByteBufferReceive.readFrom(BoundedByteBufferReceive.scala:63) | |
at kafka.network.Receive$class.readCompletely(Transmission.scala:56) | |
at kafka.network.BoundedByteBufferReceive.readCompletely(BoundedByteBufferReceive.scala:29) | |
at kafka.network.BlockingChannel.receive(BlockingChannel.scala:111) | |
at kafka.consumer.SimpleConsumer.liftedTree1$1(SimpleConsumer.scala:79) | |
at kafka.consumer.SimpleConsumer.kafka$consumer$SimpleConsumer$$sendRequest(SimpleConsumer.scala:68) | |
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SimpleConsumer.scala:112) | |
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:112) | |
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:112) | |
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) | |
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply$mcV$sp(SimpleConsumer.scala:111) | |
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:111) | |
at kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:111) | |
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) | |
at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:110) | |
at kafka.server.AbstractFetcherThread.processFetchRequest(AbstractFetcherThread.scala:94) | |
at kafka.server.AbstractFetcherThread.doWork(AbstractFetcherThread.scala:86) | |
at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:60) |
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do you have any solution?