lukestephenson-zendesk commented on code in PR #13447: URL: https://github.com/apache/kafka/pull/13447#discussion_r1236164778
########## clients/src/main/java/org/apache/kafka/clients/Metadata.java: ########## @@ -399,8 +399,13 @@ private Optional<MetadataResponse.PartitionMetadata> updateLatestMetadata( // Between the time that a topic is deleted and re-created, the client may lose track of the // corresponding topicId (i.e. `oldTopicId` will be null). In this case, when we discover the new // topicId, we allow the corresponding leader epoch to override the last seen value. - log.info("Resetting the last seen epoch of partition {} to {} since the associated topicId changed from {} to {}", - tp, newEpoch, oldTopicId, topicId); + if (oldTopicId != null) { + log.info("Resetting the last seen epoch of partition {} to {} since the associated topicId changed from {} to {}", + tp, newEpoch, oldTopicId, topicId); + } else { + log.debug("Resetting the last seen epoch of partition {} to {} since the associated topicId was undefined but is now set to {}", Review Comment: Thanks for the response @jolshan. I'm seeing this log statement on multiple Kafka producers. It is logged once every 5 minutes, for each topic partition, not just on startup. (Came to my attention because we exhausted our log quota and this was the biggest cause of logs). Here is an example log that is generated: ``` [Producer clientId=producer-1] Resetting the last seen epoch of partition my.topic-3 to 1286 since the associated topicId changed from null to lkaiBwHxQ6iQHE49_AVysQ ``` This is generated every 5 minutes for each topic partition (so a topic with 10 partitions generates 10 log entries). Each time the topic id is updated from `null` to `lkaiBwHxQ6iQHE49_AVysQ`. All partitions for the same topic show the same topic id. Running kafka-client 3.4.0 or 3.5.0 on the producers. Brokers are running Kafka 2.8.1. -- 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