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https://issues.apache.org/jira/browse/KAFKA-16986?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17862606#comment-17862606
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Justine Olshan commented on KAFKA-16986:
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Hey, thanks for taking a look at it. It is very strange that the same producer
would log this error more than once since it means somehow the producer got
metadata with a topic ID, updated it (first instance of message) and then
somehow loses it again and upon getting it again logs again. If a producer is
writing to the same topic consistently, I'm not sure how it could lose the
topic ID in the metadata unless some brokers have metadata containing the topic
ID and others do not.
> After upgrading to Kafka 3.4.1, the producer constantly produces logs related
> to topicId changes
> ------------------------------------------------------------------------------------------------
>
> Key: KAFKA-16986
> URL: https://issues.apache.org/jira/browse/KAFKA-16986
> Project: Kafka
> Issue Type: Bug
> Components: clients, producer
> Affects Versions: 3.0.1, 3.6.1
> Reporter: Vinicius Vieira dos Santos
> Priority: Minor
> Attachments: image-2024-07-01-09-05-17-147.png, image.png
>
>
> When updating the Kafka broker from version 2.7.0 to 3.4.1, we noticed that
> the applications began to log the message "{*}Resetting the last seen epoch
> of partition PAYMENTS-0 to 0 since the associated topicId changed from null
> to szRLmiAiTs8Y0nI8b3Wz1Q{*}" in a very constant, from what I understand this
> behavior is not expected because the topic was not deleted and recreated so
> it should simply use the cached data and not go through this client log line.
> We have some applications with around 15 topics and 40 partitions which means
> around 600 log lines when metadata updates occur
> The main thing for me is to know if this could indicate a problem or if I can
> simply change the log level of the org.apache.kafka.clients.Metadata class to
> warn without worries
>
> There are other reports of the same behavior like this:
> [https://stackoverflow.com/questions/74652231/apache-kafka-resetting-the-last-seen-epoch-of-partition-why]
>
> *Some log occurrences over an interval of about 7 hours, each block refers to
> an instance of the application in kubernetes*
>
> !image.png!
> *My scenario:*
> *Application:*
> - Java: 21
> - Client: 3.6.1, also tested on 3.0.1 and has the same behavior
> *Broker:*
> - Cluster running on Kubernetes with the bitnami/kafka:3.4.1-debian-11-r52
> image
>
> *Producer Config*
>
> acks = -1
> auto.include.jmx.reporter = true
> batch.size = 16384
> bootstrap.servers = [server:9092]
> buffer.memory = 33554432
> client.dns.lookup = use_all_dns_ips
> client.id = producer-1
> compression.type = gzip
> connections.max.idle.ms = 540000
> delivery.timeout.ms = 30000
> enable.idempotence = true
> interceptor.classes = []
> key.serializer = class
> org.apache.kafka.common.serialization.ByteArraySerializer
> linger.ms = 0
> max.block.ms = 60000
> max.in.flight.requests.per.connection = 1
> max.request.size = 1048576
> metadata.max.age.ms = 300000
> metadata.max.idle.ms = 300000
> metric.reporters = []
> metrics.num.samples = 2
> metrics.recording.level = INFO
> metrics.sample.window.ms = 30000
> partitioner.adaptive.partitioning.enable = true
> partitioner.availability.timeout.ms = 0
> partitioner.class = null
> partitioner.ignore.keys = false
> receive.buffer.bytes = 32768
> reconnect.backoff.max.ms = 1000
> reconnect.backoff.ms = 50
> request.timeout.ms = 30000
> retries = 3
> retry.backoff.ms = 100
> sasl.client.callback.handler.class = null
> sasl.jaas.config = [hidden]
> sasl.kerberos.kinit.cmd = /usr/bin/kinit
> sasl.kerberos.min.time.before.relogin = 60000
> sasl.kerberos.service.name = null
> sasl.kerberos.ticket.renew.jitter = 0.05
> sasl.kerberos.ticket.renew.window.factor = 0.8
> sasl.login.callback.handler.class = null
> sasl.login.class = null
> sasl.login.connect.timeout.ms = null
> sasl.login.read.timeout.ms = null
> sasl.login.refresh.buffer.seconds = 300
> sasl.login.refresh.min.period.seconds = 60
> sasl.login.refresh.window.factor = 0.8
> sasl.login.refresh.window.jitter = 0.05
> sasl.login.retry.backoff.max.ms = 10000
> sasl.login.retry.backoff.ms = 100
> sasl.mechanism = PLAIN
> sasl.oauthbearer.clock.skew.seconds = 30
> sasl.oauthbearer.expected.audience = null
> sasl.oauthbearer.expected.issuer = null
> sasl.oauthbearer.jwks.endpoint.refresh.ms = 3600000
> sasl.oauthbearer.jwks.endpoint.retry.backoff.max.ms = 10000
> sasl.oauthbearer.jwks.endpoint.retry.backoff.ms = 100
> sasl.oauthbearer.jwks.endpoint.url = null
> sasl.oauthbearer.scope.claim.name = scope
> sasl.oauthbearer.sub.claim.name = sub
> sasl.oauthbearer.token.endpoint.url = null
> security.protocol = SASL_PLAINTEXT
> security.providers = null
> send.buffer.bytes = 131072
> socket.connection.setup.timeout.max.ms = 30000
> socket.connection.setup.timeout.ms = 10000
> ssl.cipher.suites = null
> ssl.enabled.protocols = [TLSv1.2, TLSv1.3]
> ssl.endpoint.identification.algorithm = https
> ssl.engine.factory.class = null
> ssl.key.password = null
> ssl.keymanager.algorithm = SunX509
> ssl.keystore.certificate.chain = null
> ssl.keystore.key = null
> ssl.keystore.location = null
> ssl.keystore.password = null
> ssl.keystore.type = JKS
> ssl.protocol = TLSv1.3
> ssl.provider = null
> ssl.secure.random.implementation = null
> ssl.trustmanager.algorithm = PKIX
> ssl.truststore.certificates = null
> ssl.truststore.location = null
> ssl.truststore.password = null
> ssl.truststore.type = JKS
> transaction.timeout.ms = 60000
> transactional.id = null
> value.serializer = class
> org.apache.kafka.common.serialization.ByteArraySerializer
>
> If you need any more details, please let me know.
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