wxmimperio created KAFKA-9092: --------------------------------- Summary: Kafka Streams Upgrade Magic v0 does not support record headers Key: KAFKA-9092 URL: https://issues.apache.org/jira/browse/KAFKA-9092 Project: Kafka Issue Type: Bug Components: streams Affects Versions: 2.0.0, 1.0.0 Environment: kafka 1.0.0 kafka streams lib 2.0.0 Reporter: wxmimperio
My kafka cluster version: 1.0.0 and run a streams app to topic v1. Then I upgrade kafka streams lib to 2.0.0 and want to use some new apis. Reference Upgrade doc: [http://kafka.apache.org/20/documentation/streams/upgrade-guide] {code:java} <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka-streams</artifactId> <version>2.0.0</version> </dependency>{code} {code:java} // streams config settings.put(StreamsConfig.UPGRADE_FROM_CONFIG, "1.0");{code} Then stop streams app and rebuild a new jar to start. It’s no problem just starting to run. After a few hours kafka broker logs error and I delete topic recreate a few hours kafka broker get same error: {code:java} [2019-10-24 10:15:45,780] ERROR [KafkaApi-109] Error when handling request {replica_id=-1,max_wait_time=100,min_bytes=1,topics=[{topic=xxx,partitions=[{partition=4,fetch_offset=3165633,max_bytes=1048576}]}]} (kafka.server.KafkaApis)[2019-10-24 10:15:45,780] ERROR [KafkaApi-109] Error when handling request {replica_id=-1,max_wait_time=100,min_bytes=1,topics=[{topic=xxx,partitions=[{partition=4,fetch_offset=3165633,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$$anonfun$apply$4.apply(KafkaApis.scala:520) at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1$$anonfun$apply$4.apply(KafkaApis.scala:518) at scala.Option.map(Option.scala:146) at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1.apply(KafkaApis.scala:518) at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1.apply(KafkaApis.scala:508) at scala.Option.flatMap(Option.scala:171) at kafka.server.KafkaApis.kafka$server$KafkaApis$$convertedPartitionData$1(KafkaApis.scala:508) at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$createResponse$2$1.apply(KafkaApis.scala:556) at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$createResponse$2$1.apply(KafkaApis.scala:555) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at kafka.server.KafkaApis.kafka$server$KafkaApis$$createResponse$2(KafkaApis.scala:555) at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$fetchResponseCallback$1$1.apply(KafkaApis.scala:569) at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$fetchResponseCallback$1$1.apply(KafkaApis.scala:569) at kafka.server.KafkaApis$$anonfun$sendResponseMaybeThrottle$1.apply$mcVI$sp(KafkaApis.scala:2034) at kafka.server.ClientRequestQuotaManager.maybeRecordAndThrottle(ClientRequestQuotaManager.scala:52) at kafka.server.KafkaApis.sendResponseMaybeThrottle(KafkaApis.scala:2033) at kafka.server.KafkaApis.kafka$server$KafkaApis$$fetchResponseCallback$1(KafkaApis.scala:569) at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$processResponseCallback$1$1.apply$mcVI$sp(KafkaApis.scala:588) at kafka.server.ClientQuotaManager.maybeRecordAndThrottle(ClientQuotaManager.scala:175) at kafka.server.KafkaApis.kafka$server$KafkaApis$$processResponseCallback$1(KafkaApis.scala:587) at kafka.server.KafkaApis$$anonfun$handleFetchRequest$3.apply(KafkaApis.scala:604) at kafka.server.KafkaApis$$anonfun$handleFetchRequest$3.apply(KafkaApis.scala:604) at kafka.server.ReplicaManager.fetchMessages(ReplicaManager.scala:820) at kafka.server.KafkaApis.handleFetchRequest(KafkaApis.scala:596) at kafka.server.KafkaApis.handle(KafkaApis.scala:100) at kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:65) at java.lang.Thread.run(Thread.java:744){code} I found this issue:https://issues.apache.org/jira/browse/KAFKA-6739?src=confmacro It is a bug for kafka 1.0.0? -- This message was sent by Atlassian Jira (v8.3.4#803005)