ahuang98 commented on code in PR #18852: URL: https://github.com/apache/kafka/pull/18852#discussion_r1956707770
########## core/src/main/scala/kafka/log/UnifiedLog.scala: ########## @@ -1086,63 +1088,79 @@ class UnifiedLog(@volatile var logStartOffset: Long, var shallowOffsetOfMaxTimestamp = -1L var readFirstMessage = false var lastOffsetOfFirstBatch = -1L + var skipRemainingBatches = false records.batches.forEach { batch => if (origin == AppendOrigin.RAFT_LEADER && batch.partitionLeaderEpoch != leaderEpoch) { throw new InvalidRecordException("Append from Raft leader did not set the batch epoch correctly") } // we only validate V2 and higher to avoid potential compatibility issues with older clients - if (batch.magic >= RecordBatch.MAGIC_VALUE_V2 && origin == AppendOrigin.CLIENT && batch.baseOffset != 0) + if (batch.magic >= RecordBatch.MAGIC_VALUE_V2 && origin == AppendOrigin.CLIENT && batch.baseOffset != 0) { throw new InvalidRecordException(s"The baseOffset of the record batch in the append to $topicPartition should " + s"be 0, but it is ${batch.baseOffset}") - - // update the first offset if on the first message. For magic versions older than 2, we use the last offset - // to avoid the need to decompress the data (the last offset can be obtained directly from the wrapper message). - // For magic version 2, we can get the first offset directly from the batch header. - // When appending to the leader, we will update LogAppendInfo.baseOffset with the correct value. In the follower - // case, validation will be more lenient. - // Also indicate whether we have the accurate first offset or not - if (!readFirstMessage) { - if (batch.magic >= RecordBatch.MAGIC_VALUE_V2) - firstOffset = batch.baseOffset - lastOffsetOfFirstBatch = batch.lastOffset - readFirstMessage = true } - // check that offsets are monotonically increasing - if (lastOffset >= batch.lastOffset) - monotonic = false - - // update the last offset seen - lastOffset = batch.lastOffset - lastLeaderEpoch = batch.partitionLeaderEpoch - - // Check if the message sizes are valid. - val batchSize = batch.sizeInBytes - if (!ignoreRecordSize && batchSize > config.maxMessageSize) { - brokerTopicStats.topicStats(topicPartition.topic).bytesRejectedRate.mark(records.sizeInBytes) - brokerTopicStats.allTopicsStats.bytesRejectedRate.mark(records.sizeInBytes) - throw new RecordTooLargeException(s"The record batch size in the append to $topicPartition is $batchSize bytes " + - s"which exceeds the maximum configured value of ${config.maxMessageSize}.") - } + /* During replication of uncommitted data it is possible for the remote replica to send record batches after it lost + * leadership. This can happend if sending FETCH responses is slowed because there is a race between sending the FETCH Review Comment: part about sending FETCH response is slow can be read in an inaccurate way - current wording seems to suggest the response is slow _because_ of the race condition. what about instead: `This can happen if sending FETCH responses is slow. There is a race...` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: jira-unsubscr...@kafka.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org