Michael Braun created KAFKA-2062:
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Summary: Sync Producer, Variable Message Length, Multiple Threads
= Direct memory overuse
Key: KAFKA-2062
URL: https://issues.apache.org/jira/browse/KAFKA-2062
Project: Kafka
Issue Type: Bug
Components: producer
Affects Versions: 0.8.1.1
Reporter: Michael Braun
Assignee: Jun Rao
Using a synchronous producer with multiple threads each calling .send on the
single producer object, each thread ends up maintaining a threadlocal direct
memory buffer. In a case of messages where the sizing varies(for instance, 99%
of messages are 1MB and 1% are 100MB), eventually the buffers seem to expand to
this level for all the threads which can cause an out of memory - direct buffer
memory error:
java.lang.OutOfMemoryError: Direct buffer memory
at java.nio.Bits.reserveMemory(Bits.java:658) ~[na:1.7.0_67]
at java.nio.DirectByteBuffer.<init>(DirectByteBuffer.java:123) ~[na:1.7.0_67]
at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:306) ~[na:1.7.0_67]
at sun.nio.ch.Util.getTemporaryDirectBuffer(Util.java:174) ~[na:1.7.0_67]
at sun.nio.ch.IOUtil.write(IOUtil.java:130) ~[na:1.7.0_67]
at sun.nio.ch.SocketChannelImpl.write(SocketChannel.java:493) ~[na:1.7.0_67]
at java.nio.channels.SocketChannel.write(SocketChannel.java:493)
~[na:1.7.0_67]
at
kafka.network.BoundedByteBufferSend.writeTo(BoundedByteBufferSend.scala:56)
~[kafka_2.10-0.8.1.1.jar:na]
at kafka.network.Send$class.writeCompletely(Transmission.scala:75)
~[kafka_2.10-0.8.1.1.jar:na]
at
kafka.network.BoundedByteBufferSend.writeCompletely(BoundedByteBufferSend.scala:26)
~[kafka_2.10-0.8.1.1.jar:na]
at kafka.network.BlockingChannel.send(BlockingChannel.scala:92)
~[kafka_2.10-0.8.1.1.jar:na]
at kafka.producer.SyncProducer.liftedTree$1(SyncProducer.scala:72)
~[kafka_2.10-0.8.1.1.jar:na]
at
kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:71)
~[kafka_2.10-0.8.1.1.jar:na]
at
kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SyncProducer.scala:102)
~[kafka_2.10-0.8.1.1.jar:na]
at
kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:102)
~[kafka_2.10-0.8.1.1.jar:na]
at
kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:102)
~[kafka_2.10-0.8.1.1.jar:na]
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
~[kafka_2.10-0.8.1.1.jar:na]
at kafka.producer.SyncProducer.send(SyncProducer.scala:100)
~[kafka_2.10-0.8.1.1.jar:na]
at
kafka.producer.async.DefaultEventHandler.kafka$producer$async$DEfaultEventHandler$$send(DefaultEventHandler.scala:255)
[kafka_2.10-0.8.1.1.jar:na]
at
kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:106)
[kafka_2.10-0.8.1.1.jar:na]
at
kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:100)
[kafka_2.10-0.8.1.1.jar:na]
at
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
[scala-library-2.10.1.jar:na]
at
scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
[scala-library-2.10.1.jar:na]
at
scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
[scala-library-2.10.1.jar:na]
at
scala.collection.mutable.HashTable$class.foreachEntry(HashTasble.scala:226)
[scala-library-2.10.1.jar:na]
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
[scala-library-2.10.1.jar:na]
at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
[scala-library-2.10.1.jar:na]
at
scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
[scala-library-2.10.1.jar:na]
at
kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DEfaultEventHandler.scala:100)
[kafka_2.10-0.8.1.1.jar:na]
at
kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:72)
[kafka_2.10-0.8.1.1.jar:na]
at kafka.producer.Producer.send(Producer.scala:76) [kafka_2.10-0.8.1.1.jar:na]
at kafka.javaapi.producer.Producer.send(Producer.scala:33)
[kafka_2.10-0.8.1.1.jar:na]
<my call here>
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