[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16879154#comment-16879154
]
Zhitao Li(李志涛) commented on KAFKA-8624:
---
Okay，that ‘s good
> 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
> Fix For: 1.1.0
>
> Attachments: image-2019-07-04-00-18-15-781.png,
> image-2019-07-04-14-49-47-802.png, image-2019-07-04-14-56-24-216.png, 李志涛.jpg
>
> Original Estimate: 12h
> Remaining Estimate: 12h
>
> ERROR [KafkaApi-1004] Error when handling request
> \{replica_id=-1,max_wait_time=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877530#comment-16877530
]
lizhitao commented on KAFKA-8624:
-
{color:#00}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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877560#comment-16877560
]
许晋瑞 commented on KAFKA-8624:
Could you provide the versions of client and server that you use? Maybe I can
offer some help.
> 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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877583#comment-16877583
]
CHARELS commented on KAFKA-8624:
Our version of kafka is 1.0.0, but so many clients that producing messages to
our kafka, I'd like to say that if we could confirm which client version
conflict with our kafka? I also want to know if the version of client is lower
than server's, would this error happen? Thanks
> 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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877602#comment-16877602
]
CHARELS commented on KAFKA-8624:
Our version of kafka is 1.0.0, but so many clients that producing messages to
our kafka, I'd like to say that if we could confirm which client version
conflict with our kafka? I also want to know if the version of client is lower
than server's, would this error happen? Thanks
> 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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877607#comment-16877607
]
Zhitao Li(李志涛) commented on KAFKA-8624:
---
I would like to answer your question. I probably know what the question is. I
need to see the code and verify it. I'm a bit busy at the moment. How about
I'll reply to you later?
> 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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877610#comment-16877610
]
CHARELS commented on KAFKA-8624:
It's okay, appreciate
> 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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877928#comment-16877928
]
Zhitao Li(李志涛) commented on KAFKA-8624:
---
If client-side is consistent with server-side version but look at server log
that I found client message format is obviously too low ，Please look at code
below：
java class -> 'MemoryRecordsBuilder' to method -> ''
```java
{color:#80}if {color}({color:#660e7a}magic {color}<
RecordBatch.{color:#660e7a}MAGIC_VALUE_V2 {color}&& headers !=
{color:#80}null {color}&& headers.{color:#660e7a}length {color}>
{color:#ff}0{color})
{color:#80}throw new {color}IllegalArgumentException({color:#008000}"Magic
v" {color}+ {color:#660e7a}magic {color}+ {color:#008000}" does not support
record headers"{color});
```java
The above code indicates the problem
> 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=1,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
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877955#comment-16877955
]
Zhitao Li(李志涛) commented on KAFKA-8624:
---
The reason for my analysis is that it should be caused by the low version on
the consumer side. please look at image below：
!image-2019-07-04-00-18-15-781.png!
> 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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877957#comment-16877957
]
Zhitao Li(李志涛) commented on KAFKA-8624:
---
I assume that you write your own production-side code, and others write
consumer-side code.
> 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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877958#comment-16877958
]
Zhitao Li(李志涛) commented on KAFKA-8624:
---
That's why they were inconsistent.
> 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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
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=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16878370#comment-16878370
]
Zhitao Li(李志涛) commented on KAFKA-8624:
---
!image-2019-07-04-14-49-47-802.png!
> 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,
> image-2019-07-04-14-49-47-802.png
>
> Original Estimate: 12h
> Remaining Estimate: 12h
>
> ERROR [KafkaApi-1004] Error when handling request
> \{replica_id=-1,max_wait_time=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16878387#comment-16878387
]
Zhitao Li(李志涛) commented on KAFKA-8624:
---
!image-2019-07-04-14-56-24-216.png|width=600,height=380!
There are two ways to solve this problem：
One the hig producer version degrade to 0.9.x，another the low consumer version
upgrade to 1.0.x which enabled it support to 'MAGIC_VALUE_V2' of 'RecordBatch'
> 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,
> image-2019-07-04-14-49-47-802.png, image-2019-07-04-14-56-24-216.png, 李志涛.jpg
>
> Original Estimate: 12h
> Remaining Estimate: 12h
>
> ERROR [KafkaApi-1004] Error when handling request
> \{replica_id=-1,max_wait_time=1,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)
[jira] [Commented] (KAFKA-8624) 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？
[
https://issues.apache.org/jira/browse/KAFKA-8624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16878406#comment-16878406
]
CHARELS commented on KAFKA-8624:
Thanks for your answer，we'll try
> 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,
> image-2019-07-04-14-49-47-802.png, image-2019-07-04-14-56-24-216.png, 李志涛.jpg
>
> Original Estimate: 12h
> Remaining Estimate: 12h
>
> ERROR [KafkaApi-1004] Error when handling request
> \{replica_id=-1,max_wait_time=1,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)
