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Dhruvil Shah commented on KAFKA-6709: ------------------------------------- It's hard to estimate how much memory would be consumed by down-conversion on brokers - it is a factor of number of fetch requests being processed at a given point in time, the requested fetch size, amount of time it takes to create and send out the fetch response, and subsequently amount of time it takes for JVM to garbage collect the memory associated with responses that were sent out. In general, memory usage would be much higher when brokers need to perform down-conversion. See here for more details - https://kafka.apache.org/0110/documentation.html#upgrade_11_message_format Let me know if you'd be able to provide the heap dump which should help with analyzing inefficiencies in the existing scheme. > broker failed to handle request due to OOM > ------------------------------------------ > > Key: KAFKA-6709 > URL: https://issues.apache.org/jira/browse/KAFKA-6709 > Project: Kafka > Issue Type: Bug > Components: core > Affects Versions: 1.0.1 > Reporter: Zou Tao > Priority: Critical > Attachments: kafkaServer-gc.log.0.current.zip, kafkaServer.out.tgz, > normal-kafkaServer-gc.log.0.current.zip, server.properties > > > I have updated to release 1.0.1. > I set up cluster which have four brokers. > you could find the server.properties in the attachment. > There are about 150 topics, and about total 4000 partitions, > ReplicationFactor is 2. > connctors are used to write/read data to/from brokers. > connecotr version is 0.10.1. > The average message size is 500B, and around 60000 messages per seconds. > one of the broker keep report OOM, and can't handle request like: > [2018-03-24 12:37:17,449] ERROR [KafkaApi-1001] Error when handling request > {replica_id=-1,max_wait_time=500,min_bytes=1,topics=[{topic=voltetraffica.data,partitions=[ > {partition=16,fetch_offset=51198,max_bytes=60728640} > ,\{partition=12,fetch_offset=50984,max_bytes=60728640}]}]} > (kafka.server.KafkaApis) > java.lang.OutOfMemoryError: Java heap space > at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57) > at java.nio.ByteBuffer.allocate(ByteBuffer.java:335) > at > org.apache.kafka.common.record.AbstractRecords.downConvert(AbstractRecords.java:101) > at > org.apache.kafka.common.record.FileRecords.downConvert(FileRecords.java:253) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1$$anonfun$apply$4.apply(KafkaApis.scala:525) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1$$anonfun$apply$4.apply(KafkaApis.scala:523) > at scala.Option.map(Option.scala:146) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1.apply(KafkaApis.scala:523) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1.apply(KafkaApis.scala:513) > at scala.Option.flatMap(Option.scala:171) > at > kafka.server.KafkaApis.kafka$server$KafkaApis$$convertedPartitionData$1(KafkaApis.scala:513) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$createResponse$2$1.apply(KafkaApis.scala:561) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$createResponse$2$1.apply(KafkaApis.scala:560) > at scala.collection.Iterator$class.foreach(Iterator.scala:891) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) > at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > at > kafka.server.KafkaApis.kafka$server$KafkaApis$$createResponse$2(KafkaApis.scala:560) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$fetchResponseCallback$1$1.apply(KafkaApis.scala:574) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$fetchResponseCallback$1$1.apply(KafkaApis.scala:574) > at > kafka.server.KafkaApis$$anonfun$sendResponseMaybeThrottle$1.apply$mcVI$sp(KafkaApis.scala:2041) > at > kafka.server.ClientRequestQuotaManager.maybeRecordAndThrottle(ClientRequestQuotaManager.scala:54) > at > kafka.server.KafkaApis.sendResponseMaybeThrottle(KafkaApis.scala:2040) > at > kafka.server.KafkaApis.kafka$server$KafkaApis$$fetchResponseCallback$1(KafkaApis.scala:574) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$processResponseCallback$1$1.apply$mcVI$sp(KafkaApis.scala:593) > at > kafka.server.ClientQuotaManager.maybeRecordAndThrottle(ClientQuotaManager.scala:176) > at > kafka.server.KafkaApis.kafka$server$KafkaApis$$processResponseCallback$1(KafkaApis.scala:592) > at > kafka.server.KafkaApis$$anonfun$handleFetchRequest$4.apply(KafkaApis.scala:609) > at > kafka.server.KafkaApis$$anonfun$handleFetchRequest$4.apply(KafkaApis.scala:609) > at > kafka.server.ReplicaManager.fetchMessages(ReplicaManager.scala:820) > at kafka.server.KafkaApis.handleFetchRequest(KafkaApis.scala:601) > at kafka.server.KafkaApis.handle(KafkaApis.scala:99) > and then lots of shrink ISR ( this broker is 1001). > [2018-03-24 13:43:00,285] INFO [Partition gnup.source.offset.storage.topic-5 > broker=1001] Shrinking ISR from 1001,1002 to 1001 (kafka.cluster.Partition) > [2018-03-24 13:43:00,286] INFO [Partition s1mme.data-72 broker=1001] > Shrinking ISR from 1001,1002 to 1001 (kafka.cluster.Partition) > [2018-03-24 13:43:00,286] INFO [Partition gnup.sink.status.storage.topic-17 > broker=1001] Shrinking ISR from 1001,1002 to 1001 (kafka.cluster.Partition) > [2018-03-24 13:43:00,287] INFO [Partition > probessgsniups.sink.offset.storage.topic-4 broker=1001] Shrinking ISR from > 1001,1002 to 1001 (kafka.cluster.Partition) > [2018-03-24 13:43:01,447] INFO [GroupCoordinator 1001]: Stabilized group > connect-VOICE_1_SINK_CONN generation 26 (__consumer_offsets-18) > (kafka.coordinator.group.GroupCoordinator) > i can't dump the heap since each time I run: > [root@sslave1 kafka]# jcmd 55409 GC.heap_dump /home/ngdb/heap_dump175.hprof > 55409: > com.sun.tools.attach.AttachNotSupportedException: Unable to open socket > file: target process not responding or HotSpot VM not loaded > at > sun.tools.attach.LinuxVirtualMachine.<init>(LinuxVirtualMachine.java:106) > at > sun.tools.attach.LinuxAttachProvider.attachVirtualMachine(LinuxAttachProvider.java:63) > at > com.sun.tools.attach.VirtualMachine.attach(VirtualMachine.java:208) > at sun.tools.jcmd.JCmd.executeCommandForPid(JCmd.java:147) > at sun.tools.jcmd.JCmd.main(JCmd.java:131) > > the JVM parameter is: > -XX:+ExplicitGCInvokesConcurrent -XX:GCLogFileSize=104857600 > -XX:InitialHeapSize=2147483648 -XX:InitiatingHeapOccupancyPercent=35 > -XX:+ManagementServer -XX:MaxGCPauseMillis=20 -XX:MaxHeapSize=4294967296 > -XX:NumberOfGCLogFiles=10 -XX:+PrintGC -XX:+PrintGCDateStamps > -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+UseCompressedClassPointers > -XX:+UseCompressedOops -XX:+UseG1GC -XX:+UseGCLogFileRotation > when I use -XX:mx=2G, four brokers reported OOM, > after i increated it to 4G, only one brokers reported OOM. You could find GC > file in attachment kafkaServer-gc.log.0.current.zip. > normal-kafkaServer-gc.log.0.current.zip is from broker didn't report OOM. > * > [|https://issues.apache.org/jira/secure/DeleteAttachment!default.jspa?id=13147679&deleteAttachmentId=12916049&from=issue] > -- This message was sent by Atlassian JIRA (v7.6.3#76005)