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Jun Rao commented on KAFKA-18723: --------------------------------- [~jsancio] : Good point. I think we can tighten this up on the follower side. AbstractFetcherThread keeps for each partition a PartitionFetchState, which includes the current leader epoch. The leader epoch is used to build the fetch request. In processFetchRequest(), we pass in the request as well as the fetch response. We can make a change such that if the leader epoch in the request doesn't match the one in PartitionFetchState, we will skip the processing of the fetch response since it's stable. If they match, we can use the leader epoch in PartitionFetchState to skip batches with higher epochs. Since the processing is done under partitionMapLock, we can be sure that the PartitionFetchState won't change in the meantime. > KRaft must handle corrupted records in the fetch response > --------------------------------------------------------- > > Key: KAFKA-18723 > URL: https://issues.apache.org/jira/browse/KAFKA-18723 > Project: Kafka > Issue Type: Bug > Components: kraft > Reporter: José Armando García Sancio > Assignee: José Armando García Sancio > Priority: Major > Fix For: 3.9.1, 3.8.2, 3.7.3 > > > It is possible for a KRaft replica to send corrupted records to the fetching > replicas in the FETCH response. This is because there is a race between when > the FETCH response gets generated by the KRaft IO thread and when the network > thread, or linux kernel, reads the byte position in the log segment. > This race can generated corrupted records if the KRaft replica performed a > truncation after the FETCH response was created but before the network thread > read the bytes from the log segment. > I have seen the following errors: > {code:java} > [ERROR] 2025-01-07 15:04:18,273 [kafka-0-raft-io-thread] > org.apache.kafka.server.fault.ProcessTerminatingFaultHandler handleFault - > Encountered fatal fault: Unexpected error in raft IO thread > org.apache.kafka.common.KafkaException: Append failed unexpectedly > at > kafka.raft.KafkaMetadataLog.handleAndConvertLogAppendInfo(KafkaMetadataLog.scala:117) > at > kafka.raft.KafkaMetadataLog.appendAsFollower(KafkaMetadataLog.scala:110) > at > org.apache.kafka.raft.KafkaRaftClient.appendAsFollower(KafkaRaftClient.java:1227) > at > org.apache.kafka.raft.KafkaRaftClient.handleFetchResponse(KafkaRaftClient.java:1209) > at > org.apache.kafka.raft.KafkaRaftClient.handleResponse(KafkaRaftClient.java:1644) > at > org.apache.kafka.raft.KafkaRaftClient.handleInboundMessage(KafkaRaftClient.java:1770) > at org.apache.kafka.raft.KafkaRaftClient.poll(KafkaRaftClient.java:2355) > at kafka.raft.KafkaRaftManager$RaftIoThread.doWork(RaftManager.scala:71) > at > org.apache.kafka.server.util.ShutdownableThread.run(ShutdownableThread.java:138){code} > and > {code:java} > [ERROR] 2025-01-07 18:06:20,121 [kafka-1-raft-io-thread] > org.apache.kafka.server.fault.ProcessTerminatingFaultHandler handleFault - > Encountered fatal fault: Unexpected error in raft IO thread" > org.apache.kafka.common.errors.CorruptRecordException: Record size 0 is less > than the minimum record overhead (14)"{code} > This race also exists with Kafka's ISR based topic partition. In that case > the replica fetcher catches all CorruptRecordException and > InvalidRecordException. > {code:java} > } catch { > case ime@(_: CorruptRecordException | _: > InvalidRecordException) => > // we log the error and continue. This ensures two > things > // 1. If there is a corrupt message in a topic > partition, it does not bring the fetcher thread > // down and cause other topic partition to also lag > // 2. If the message is corrupt due to a transient > state in the log (truncation, partial writes > // can cause this), we simply continue and should > get fixed in the subsequent fetches > error(s"Found invalid messages during fetch for > partition $topicPartition " + > s"offset ${currentFetchState.fetchOffset}", ime) > partitionsWithError += topicPartition > {code} > The KRaft implementation doesn't handle this case: > {code:java} > } else { > Records records = > FetchResponse.recordsOrFail(partitionResponse); > if (records.sizeInBytes() > 0) { > appendAsFollower(records); > } > OptionalLong highWatermark = > partitionResponse.highWatermark() < 0 ? > OptionalLong.empty() : > OptionalLong.of(partitionResponse.highWatermark()); > updateFollowerHighWatermark(state, highWatermark); > }{code} -- This message was sent by Atlassian Jira (v8.20.10#820010)