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https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16878277#comment-16878277
 ] 

CHARELS commented on KAFKA-8624:
--------------------------------

We are sure that our producers' code and consumers' code are ok, But our 
version are different, most  producers's  client version range in 0.9.0 to 
0.11.1.0, our kafka version is 1.0.0. May be the difference of vesrion cause 
the error infromation:"ava.lang.IllegalArgumentException: Magic v0 does not 
support record headers". So, how should we solve it if the producers did not 
want to update their versions? shall the producers change the declare of header 
infomation?

> 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
>         Attachments: image-2019-07-04-00-18-15-781.png
>
>   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)



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