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Posted to dev@kafka.apache.org by "Ismael Juma (JIRA)" <ji...@apache.org> on 2018/06/05 07:02:00 UTC
[jira] [Resolved] (KAFKA-6762) log-cleaner thread terminates due to
java.lang.IllegalStateException
[ https://issues.apache.org/jira/browse/KAFKA-6762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ismael Juma resolved KAFKA-6762.
--------------------------------
Resolution: Duplicate
Duplicate of KAFKA-6854.
> log-cleaner thread terminates due to java.lang.IllegalStateException
> --------------------------------------------------------------------
>
> Key: KAFKA-6762
> URL: https://issues.apache.org/jira/browse/KAFKA-6762
> Project: Kafka
> Issue Type: Bug
> Components: core
> Affects Versions: 1.0.0
> Environment: os: GNU/Linux
> arch: x86_64
> Kernel: 4.9.77
> jvm: OpenJDK 1.8.0
> Reporter: Ricardo Bartolome
> Priority: Major
> Attachments: __consumer_offsets-9_00000000000000000000.tar.xz
>
>
> We are experiencing some problems with kafka log-cleaner thread on Kafka 1.0.0. We have planned to update this cluster to 1.1.0 by next week in order to fix KAFKA-6683, but until then we can only confirm that it happens in 1.0.0.
> log-cleaner thread crashes after a while with the following error:
> {code:java}
> [2018-03-28 11:14:40,199] INFO Cleaner 0: Beginning cleaning of log __consumer_offsets-31. (kafka.log.LogCleaner)
> [2018-03-28 11:14:40,199] INFO Cleaner 0: Building offset map for __consumer_offsets-31... (kafka.log.LogCleaner)
> [2018-03-28 11:14:40,218] INFO Cleaner 0: Building offset map for log __consumer_offsets-31 for 16 segments in offset range [1612869, 14282934). (kafka.log.LogCleaner)
> [2018-03-28 11:14:58,566] INFO Cleaner 0: Offset map for log __consumer_offsets-31 complete. (kafka.log.LogCleaner)
> [2018-03-28 11:14:58,566] INFO Cleaner 0: Cleaning log __consumer_offsets-31 (cleaning prior to Tue Mar 27 09:25:09 GMT 2018, discarding tombstones prior to Sat Feb 24 11:04:21 GMT 2018
> )... (kafka.log.LogCleaner)
> [2018-03-28 11:14:58,567] INFO Cleaner 0: Cleaning segment 0 in log __consumer_offsets-31 (largest timestamp Fri Feb 23 11:40:54 GMT 2018) into 0, discarding deletes. (kafka.log.LogClea
> ner)
> [2018-03-28 11:14:58,570] INFO Cleaner 0: Growing cleaner I/O buffers from 262144bytes to 524288 bytes. (kafka.log.LogCleaner)
> [2018-03-28 11:14:58,576] INFO Cleaner 0: Growing cleaner I/O buffers from 524288bytes to 1000012 bytes. (kafka.log.LogCleaner)
> [2018-03-28 11:14:58,593] ERROR [kafka-log-cleaner-thread-0]: Error due to (kafka.log.LogCleaner)
> java.lang.IllegalStateException: This log contains a message larger than maximum allowable size of 1000012.
> at kafka.log.Cleaner.growBuffers(LogCleaner.scala:622)
> at kafka.log.Cleaner.cleanInto(LogCleaner.scala:574)
> at kafka.log.Cleaner.cleanSegments(LogCleaner.scala:459)
> at kafka.log.Cleaner.$anonfun$doClean$6(LogCleaner.scala:396)
> at kafka.log.Cleaner.$anonfun$doClean$6$adapted(LogCleaner.scala:395)
> at scala.collection.immutable.List.foreach(List.scala:389)
> at kafka.log.Cleaner.doClean(LogCleaner.scala:395)
> at kafka.log.Cleaner.clean(LogCleaner.scala:372)
> at kafka.log.LogCleaner$CleanerThread.cleanOrSleep(LogCleaner.scala:263)
> at kafka.log.LogCleaner$CleanerThread.doWork(LogCleaner.scala:243)
> at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:64)
> [2018-03-28 11:14:58,601] INFO [kafka-log-cleaner-thread-0]: Stopped (kafka.log.LogCleaner)
> [2018-04-04 14:25:12,773] INFO The cleaning for partition __broker-11-health-check-0 is aborted and paused (kafka.log.LogCleaner)
> [2018-04-04 14:25:12,773] INFO Compaction for partition __broker-11-health-check-0 is resumed (kafka.log.LogCleaner)
> [2018-04-04 14:25:12,774] INFO The cleaning for partition __broker-11-health-check-0 is aborted (kafka.log.LogCleaner)
> [2018-04-04 14:25:22,850] INFO Shutting down the log cleaner. (kafka.log.LogCleaner)
> [2018-04-04 14:25:22,850] INFO [kafka-log-cleaner-thread-0]: Shutting down (kafka.log.LogCleaner)
> [2018-04-04 14:25:22,850] INFO [kafka-log-cleaner-thread-0]: Shutdown completed (kafka.log.LogCleaner)
> {code}
> What we know so far is:
> * We are unable to reproduce it yet in a consistent manner.
> * It only happens in the PRO cluster and not in the PRE cluster for the same customer (which message payloads are very similar)
> * Checking our Kafka logs, it only happened on the internal topics *__consumer_offsets-**
> * When we restart the broker process the log-cleaner starts working again but it can take between 3 minutes and some hours to die again.
> * We workaround it by temporary increasing the message.max.bytes and replica.fetch.max.bytes values to 10485760 (10MB) from default 1000012 (~1MB).
> ** Before message.max.bytes = 10MB, we tried to match message.max.size with the value of replica.fetch.max.size (1048576), but log-cleaned died with the same error but different limit.
> ** This allowed the log-cleaner not to die and compact enough data as for disk space to go from ~600GB to ~100GB.
> ** Without this limit change, the log-cleaner dies after a while and the used disk space stay at ~450GB and starts growing again due to cluster activity.
> Our server.properties content is as follows, as printed ins server.log at broker startup.
> {code:java}
> broker.id=11
> delete.topic.enable=true
> advertised.listeners=PLAINTEXT://broker-ip:9092
> num.network.threads=3
> num.io.threads=8
> socket.send.buffer.bytes=102400
> socket.receive.buffer.bytes=102400
> socket.request.max.bytes=104857600
> log.dirs=/var/lib/kafka
> num.partitions=12
> num.recovery.threads.per.data.dir=1
> offsets.topic.replication.factor=3
> transaction.state.log.replication.factor=3
> transaction.state.log.min.isr=2
> log.retention.hours=168
> log.segment.bytes=1073741824
> log.retention.check.interval.ms=300000
> zookeeper.connect=x.x.x.x:2181/kafka/cluster01
> zookeeper.connection.timeout.ms=6000
> group.initial.rebalance.delay.ms=3000
> auto.create.topics.enable=false
> inter.broker.protocol.version=0.11.0
> log.message.format.version=0.11.0
> broker.rack=eu-west-1b
> default.replication.factor=3
> offsets.retention.minutes=10080
> {code}
> Our kafka configuration values, as printed in server.log when starting is the following.
> {code:java}
> [2018-03-28 10:40:29,652] INFO KafkaConfig values:
> advertised.host.name = null
> advertised.listeners = PLAINTEXT://broker_ip:9092
> advertised.port = null
> alter.config.policy.class.name = null
> authorizer.class.name =
> auto.create.topics.enable = false
> auto.leader.rebalance.enable = true
> background.threads = 10
> broker.id = 11
> broker.id.generation.enable = true
> broker.rack = eu-west-1b
> compression.type = producer
> connections.max.idle.ms = 600000
> controlled.shutdown.enable = true
> controlled.shutdown.max.retries = 3
> controlled.shutdown.retry.backoff.ms = 5000
> controller.socket.timeout.ms = 30000
> create.topic.policy.class.name = null
> default.replication.factor = 3
> delete.records.purgatory.purge.interval.requests = 1
> delete.topic.enable = true
> fetch.purgatory.purge.interval.requests = 1000
> group.initial.rebalance.delay.ms = 3000
> group.max.session.timeout.ms = 300000
> group.min.session.timeout.ms = 6000
> host.name =
> inter.broker.listener.name = null
> inter.broker.protocol.version = 0.11.0
> leader.imbalance.check.interval.seconds = 300
> leader.imbalance.per.broker.percentage = 10
> listener.security.protocol.map = PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL
> listeners = null
> log.cleaner.backoff.ms = 15000
> log.cleaner.dedupe.buffer.size = 134217728
> log.cleaner.delete.retention.ms = 86400000
> log.cleaner.enable = true
> log.cleaner.io.buffer.load.factor = 0.9
> log.cleaner.io.buffer.size = 524288
> log.cleaner.io.max.bytes.per.second = 1.7976931348623157E308
> log.cleaner.min.cleanable.ratio = 0.5
> log.cleaner.min.compaction.lag.ms = 0
> log.cleaner.threads = 1
> log.cleanup.policy = [delete]
> log.dir = /tmp/kafka-logs
> log.dirs = /var/lib/kafka
> log.flush.interval.messages = 9223372036854775807
> log.flush.interval.ms = null
> log.flush.offset.checkpoint.interval.ms = 60000
> log.flush.scheduler.interval.ms = 9223372036854775807
> log.flush.start.offset.checkpoint.interval.ms = 60000
> log.index.interval.bytes = 4096
> log.index.size.max.bytes = 10485760
> log.message.format.version = 0.11.0
> log.message.timestamp.difference.max.ms = 9223372036854775807
> log.message.timestamp.type = CreateTime
> log.preallocate = false
> log.retention.bytes = -1
> log.retention.check.interval.ms = 300000
> log.retention.hours = 168
> log.retention.minutes = null
> log.retention.ms = null
> log.roll.hours = 168
> log.roll.jitter.hours = 0
> log.roll.jitter.ms = null
> log.roll.ms = null
> log.segment.bytes = 1073741824
> log.segment.delete.delay.ms = 60000
> max.connections.per.ip = 2147483647
> max.connections.per.ip.overrides =
> message.max.bytes = 1000012
> metric.reporters = []
> metrics.num.samples = 2
> metrics.recording.level = INFO
> metrics.sample.window.ms = 30000
> min.insync.replicas = 1
> num.io.threads = 8
> num.network.threads = 3
> num.partitions = 12
> num.recovery.threads.per.data.dir = 1
> num.replica.fetchers = 1
> offset.metadata.max.bytes = 4096
> offsets.commit.required.acks = -1
> offsets.commit.timeout.ms = 5000
> offsets.load.buffer.size = 5242880
> offsets.retention.check.interval.ms = 600000
> offsets.retention.minutes = 10080
> offsets.topic.compression.codec = 0
> offsets.topic.num.partitions = 50
> offsets.topic.replication.factor = 3
> offsets.topic.segment.bytes = 104857600
> port = 9092
> principal.builder.class = null
> producer.purgatory.purge.interval.requests = 1000
> queued.max.request.bytes = -1
> queued.max.requests = 500
> quota.consumer.default = 9223372036854775807
> quota.producer.default = 9223372036854775807
> quota.window.num = 11
> quota.window.size.seconds = 1
> replica.fetch.backoff.ms = 1000
> replica.fetch.max.bytes = 1048576
> replica.fetch.min.bytes = 1
> replica.fetch.response.max.bytes = 10485760
> replica.fetch.wait.max.ms = 500
> replica.high.watermark.checkpoint.interval.ms = 5000
> replica.lag.time.max.ms = 10000
> replica.socket.receive.buffer.bytes = 65536
> replica.socket.timeout.ms = 30000
> replication.quota.window.num = 11
> replication.quota.window.size.seconds = 1
> request.timeout.ms = 30000
> reserved.broker.max.id = 1000
> sasl.enabled.mechanisms = [GSSAPI]
> sasl.kerberos.kinit.cmd = /usr/bin/kinit
> sasl.kerberos.min.time.before.relogin = 60000
> sasl.kerberos.principal.to.local.rules = [DEFAULT]
> sasl.kerberos.service.name = null
> sasl.kerberos.ticket.renew.jitter = 0.05
> sasl.kerberos.ticket.renew.window.factor = 0.8
> sasl.mechanism.inter.broker.protocol = GSSAPI
> security.inter.broker.protocol = PLAINTEXT
> socket.receive.buffer.bytes = 102400
> socket.request.max.bytes = 104857600
> socket.send.buffer.bytes = 102400
> ssl.cipher.suites = null
> ssl.client.auth = none
> ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
> ssl.endpoint.identification.algorithm = null
> ssl.key.password = null
> ssl.keymanager.algorithm = SunX509
> ssl.keystore.location = null
> ssl.keystore.password = null
> ssl.keystore.type = JKS
> ssl.protocol = TLS
> ssl.provider = null
> ssl.secure.random.implementation = null
> ssl.trustmanager.algorithm = PKIX
> ssl.truststore.location = null
> ssl.truststore.password = null
> ssl.truststore.type = JKS
> transaction.abort.timed.out.transaction.cleanup.interval.ms = 60000
> transaction.max.timeout.ms = 900000
> transaction.remove.expired.transaction.cleanup.interval.ms = 3600000
> transaction.state.log.load.buffer.size = 5242880
> transaction.state.log.min.isr = 2
> transaction.state.log.num.partitions = 50
> transaction.state.log.replication.factor = 3
> transaction.state.log.segment.bytes = 104857600
> transactional.id.expiration.ms = 604800000
> unclean.leader.election.enable = false
> zookeeper.connect = (zookeeper connection string here)
> zookeeper.connection.timeout.ms = 6000
> zookeeper.session.timeout.ms = 6000
> zookeeper.set.acl = false
> zookeeper.sync.time.ms = 2000
> (kafka.server.KafkaConfig)
> [2018-03-28 10:40:29,745] INFO starting (kafka.server.KafkaServer)
> {code}
> The clients (sprint-kafka 2.1.4 that provides kafka-clients 1.0.x) have the following configuration which is:
> * max.partition.fetch.bytes = 1048576
> While looks like increasing the message size might do the trick, we are concerned that this happens again as soon as a customers start publishing messages closer to the message.max.bytes limit. We decided to open this bug report because we think something might be wrong if message.max.bytes is 1MB and the log-cleaner throws an exception while compacting messages on __consumer_offsets because it find messages that are bigger than that.
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