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lizhitao commented on KAFKA-8624: --------------------------------- {color:#000000}Please give the client-side and server-side versions respectively,then ,helps you analyze mistake of context。 {color} > 这边是服务端的kafka,版本是 kafka_2.11-1.0.0.2,当客户端向主题发送消息的时候抛出如下异常,客户端跟服务端的版本不一致吗? > ------------------------------------------------------------------------ > > Key: KAFKA-8624 > URL: https://issues.apache.org/jira/browse/KAFKA-8624 > Project: Kafka > Issue Type: Bug > Components: log > Affects Versions: 1.0.0 > Reporter: CHARELS > Priority: Major > Labels: pull-request-available > Original Estimate: 12h > Remaining Estimate: 12h > > ERROR [KafkaApi-1004] Error when handling request > \{replica_id=-1,max_wait_time=10000,min_bytes=0,topics=[{topic=ETE,partitions=[{partition=3,fetch_offset=119224671,max_bytes=1048576}]}]} > (kafka.server.KafkaApis) > java.lang.IllegalArgumentException: Magic v0 does not support record headers > at > org.apache.kafka.common.record.MemoryRecordsBuilder.appendWithOffset(MemoryRecordsBuilder.java:403) > at > org.apache.kafka.common.record.MemoryRecordsBuilder.append(MemoryRecordsBuilder.java:586) > at > org.apache.kafka.common.record.AbstractRecords.convertRecordBatch(AbstractRecords.java:134) > at > org.apache.kafka.common.record.AbstractRecords.downConvert(AbstractRecords.java:109) > at > org.apache.kafka.common.record.FileRecords.downConvert(FileRecords.java:253) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1$$anonfun$apply$4.apply(KafkaApis.scala:519) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1$$anonfun$apply$4.apply(KafkaApis.scala:517) > at scala.Option.map(Option.scala:146) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1.apply(KafkaApis.scala:517) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1.apply(KafkaApis.scala:507) > at scala.Option.flatMap(Option.scala:171) > at > kafka.server.KafkaApis.kafka$server$KafkaApis$$convertedPartitionData$1(KafkaApis.scala:507) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$createResponse$2$1.apply(KafkaApis.scala:555) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$createResponse$2$1.apply(KafkaApis.scala:554) > at scala.collection.Iterator$class.foreach(Iterator.scala:891) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) > at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > at > kafka.server.KafkaApis.kafka$server$KafkaApis$$createResponse$2(KafkaApis.scala:554) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$fetchResponseCallback$1$1.apply(KafkaApis.scala:568) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$fetchResponseCallback$1$1.apply(KafkaApis.scala:568) > at > kafka.server.KafkaApis$$anonfun$sendResponseMaybeThrottle$1.apply$mcVI$sp(KafkaApis.scala:2033) > at > kafka.server.ClientRequestQuotaManager.maybeRecordAndThrottle(ClientRequestQuotaManager.scala:54) > at kafka.server.KafkaApis.sendResponseMaybeThrottle(KafkaApis.scala:2032) > at > kafka.server.KafkaApis.kafka$server$KafkaApis$$fetchResponseCallback$1(KafkaApis.scala:568) > at > kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$processResponseCallback$1$1.apply$mcVI$sp(KafkaApis.scala:587) > at > kafka.server.ClientQuotaManager.maybeRecordAndThrottle(ClientQuotaManager.scala:176) > at > kafka.server.KafkaApis.kafka$server$KafkaApis$$processResponseCallback$1(KafkaApis.scala:586) > at > kafka.server.KafkaApis$$anonfun$handleFetchRequest$3.apply(KafkaApis.scala:603) > at > kafka.server.KafkaApis$$anonfun$handleFetchRequest$3.apply(KafkaApis.scala:603) > at kafka.server.ReplicaManager.fetchMessages(ReplicaManager.scala:820) > at kafka.server.KafkaApis.handleFetchRequest(KafkaApis.scala:595) > at kafka.server.KafkaApis.handle(KafkaApis.scala:99) > at kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:65) > at java.lang.Thread.run(Thread.java:748) -- This message was sent by Atlassian JIRA (v7.6.3#76005)