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https://issues.apache.org/jira/browse/KAFKA-514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jun Rao resolved KAFKA-514.
---------------------------
Resolution: Duplicate
Fixed in kafka-551.
> Replication with Leader Failure Test: Log segment files checksum mismatch
> -------------------------------------------------------------------------
>
> Key: KAFKA-514
> URL: https://issues.apache.org/jira/browse/KAFKA-514
> Project: Kafka
> Issue Type: Bug
> Affects Versions: 0.8
> Reporter: John Fung
> Priority: Blocker
> Labels: replication-testing
> Fix For: 0.8
>
> Attachments: kafka-514-reproduce-issue.patch, kafka-514_v1.patch,
> kafka-514_v2.patch, system_test_output_archive.tar.gz, testcase_2.tar
>
>
> Test Description:
> 1. Produce and consume messages to 1 topics and 3 partitions.
> 2. This test sends 10 messages every 2 sec to 3 replicas.
> 3. At the end verifies the log size and contents as well as using a
> consumer to verify that there is no message loss.
> The issue:
> When the leader is terminated by a controlled failure (kill -15), the
> resulting log segment files size are not all matching. The mismatch log
> segment size would happen in one of the partition of the terminated broker.
> This is consistently reproducible from the system regression test for
> replication with the following configurations:
> * zookeeper: 1-node (local)
> * brokers: 3-node cluster (all local)
> * replica factor: 3
> * no. of topic: 1
> * no. of partition: 2
> * iterations of leader failure: 1
> Remarks:
> * It is rarely reproducible if the no. of partitions is 1.
> * Even the file checksums are not matching, the no. of messages in the
> producer & consumer logs are equal
> Test result (shown with log file checksum):
> broker-1 :
> test_1-0/00000000000000000000.kafka => 1690639555
> test_1-1/00000000000000000000.kafka => 4068655384 <<<< not matching across
> all replicas
> broker-2 :
> test_1-0/00000000000000000000.kafka => 1690639555
> test_1-1/00000000000000000000.kafka => 4068655384 <<<< not matching across
> all replicas
> broker-3 :
> test_1-0/00000000000000000000.kafka => 1690639555
> test_1-1/00000000000000000000.kafka => 3530842923 <<<< not matching across
> all replicas
> Errors:
> The following error is found in the terminated leader:
> [2012-09-14 11:07:05,217] WARN No previously checkpointed highwatermark value
> found for topic test_1 partition 1. Returning 0 as the highwatermark
> (kafka.server.HighwaterMarkCheckpoint)
> [2012-09-14 11:07:05,220] ERROR Replica Manager on Broker 3: Error processing
> leaderAndISR request LeaderAndIsrRequest(1,,true,1000,Map((test_1,1) -> {
> "ISR": "1,2","leader": "1","leaderEpoch": "0" }, (test_1,0) -> { "ISR": "
> 1,2","leader": "1","leaderEpoch": "1" })) (kafka.server.ReplicaManager)
> kafka.common.KafkaException: End index must be segment list size - 1
> at kafka.log.SegmentList.truncLast(SegmentList.scala:82)
> at kafka.log.Log.truncateTo(Log.scala:471)
> at kafka.cluster.Partition.makeFollower(Partition.scala:171)
> at kafka.cluster.Partition.makeLeaderOrFollower(Partition.scala:126)
> at
> kafka.server.ReplicaManager.kafka$server$ReplicaManager$$makeFollower(ReplicaManager.scala:195)
> at
> kafka.server.ReplicaManager$$anonfun$becomeLeaderOrFollower$2.apply(ReplicaManager.scala:154)
> at
> kafka.server.ReplicaManager$$anonfun$becomeLeaderOrFollower$2.apply(ReplicaManager.scala:144)
> at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:80)
> at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:80)
> at scala.collection.Iterator$class.foreach(Iterator.scala:631)
> at
> scala.collection.mutable.HashTable$$anon$1.foreach(HashTable.scala:161)
> at
> scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:194)
> at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
> at scala.collection.mutable.HashMap.foreach(HashMap.scala:80)
> at
> kafka.server.ReplicaManager.becomeLeaderOrFollower(ReplicaManager.scala:144)
> at
> kafka.server.KafkaApis.handleLeaderAndISRRequest(KafkaApis.scala:73)
> at kafka.server.KafkaApis.handle(KafkaApis.scala:60)
> at kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:40)
> at java.lang.Thread.run(Thread.java:662)
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