在logstash中，使用kafka作为输入源，内存溢出

Question

log4j, [2017-09-11T09:39:02.399] ERROR: kafka.network.BoundedByteBufferReceive: OOME with size 20971590
java.lang.OutOfMemoryError: Java heap space
at java.nio.HeapByteBuffer.(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$1(SimpleConsumer.scala:71)
at kafka.consumer.SimpleConsumer.kafka$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)

            如何解决这个问题

Answer 1

这个问题在logstash的bin目录下logstash.bin.sh脚本里修改LS_HEAP_SIZE="${LS_HEAP_SIZE:=4g}"这个值就ok了，默认是512m