问题现象
最近在测试环境遇到了一个问题, 这两天收到了无缘无故的收到了大批测试短信, 而且都是几天前已经收到过的短信. 经过追踪日志发现, 短息发送是通过Kafka Consumer执行, 而Kafka Consumer把之前的消费了的消息, 又重新消费了一遍.
经过资料, 最终在Kafka官文发现了点端倪. 通过阅读官文(KIP-186: Increase offsets retention default to 7 days), 其说明在offsets.retention
小于log.retention
的时候, 会出现Offset丢失的情况.
官文提示: Offset retention should be always greater than log retention.
问题重现
通过以下步骤重现了此问题:
更改配置
更改Kafka Server配置, 将
offsets.retention.minutes
从1440
改为10
. 这样, 日志保留时长(log.retention.hours
)为7
天, Offset保留时长为10
分钟. Offset保留时时长短, 夜里与测试.KafkaConfig values: advertised.host.name = null advertised.listeners = null advertised.port = null alter.config.policy.class.name = null alter.log.dirs.replication.quota.window.num = 11 alter.log.dirs.replication.quota.window.size.seconds = 1 authorizer.class.name = auto.create.topics.enable = true auto.leader.rebalance.enable = true background.threads = 10 broker.id = 0 broker.id.generation.enable = true broker.rack = null 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 = 1 delegation.token.expiry.check.interval.ms = 3600000 delegation.token.expiry.time.ms = 86400000 delegation.token.master.key = null delegation.token.max.lifetime.ms = 604800000 delete.records.purgatory.purge.interval.requests = 1 delete.topic.enable = true fetch.purgatory.purge.interval.requests = 1000 group.initial.rebalance.delay.ms = 0 group.max.session.timeout.ms = 300000 group.min.session.timeout.ms = 6000 host.name = inter.broker.listener.name = null inter.broker.protocol.version = 1.1-IV0 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 = /tmp/kafka-logs 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 = 1.1-IV0 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 = max.incremental.fetch.session.cache.slots = 1000 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 = 1 num.recovery.threads.per.data.dir = 1 num.replica.alter.log.dirs.threads = null 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 = 1440 offsets.topic.compression.codec = 0 offsets.topic.num.partitions = 50 offsets.topic.replication.factor = 1 offsets.topic.segment.bytes = 104857600 password.encoder.cipher.algorithm = AES/CBC/PKCS5Padding password.encoder.iterations = 4096 password.encoder.key.length = 128 password.encoder.keyfactory.algorithm = null password.encoder.old.secret = null password.encoder.secret = null 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.jaas.config = null 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 = [] 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 = 1 transaction.state.log.num.partitions = 50 transaction.state.log.replication.factor = 1 transaction.state.log.segment.bytes = 104857600 transactional.id.expiration.ms = 604800000 unclean.leader.election.enable = false zookeeper.connect = localhost:2181 zookeeper.connection.timeout.ms = 6000 zookeeper.max.in.flight.requests = 10 zookeeper.session.timeout.ms = 6000 zookeeper.set.acl = false zookeeper.sync.time.ms = 2000
KafkaConfig values: advertised.host.name = null advertised.listeners = null advertised.port = null alter.config.policy.class.name = null alter.log.dirs.replication.quota.window.num = 11 alter.log.dirs.replication.quota.window.size.seconds = 1 authorizer.class.name = auto.create.topics.enable = true auto.leader.rebalance.enable = true background.threads = 10 broker.id = 0 broker.id.generation.enable = true broker.rack = null 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 = 1 delegation.token.expiry.check.interval.ms = 3600000 delegation.token.expiry.time.ms = 86400000 delegation.token.master.key = null delegation.token.max.lifetime.ms = 604800000 delete.records.purgatory.purge.interval.requests = 1 delete.topic.enable = true fetch.purgatory.purge.interval.requests = 1000 group.initial.rebalance.delay.ms = 0 group.max.session.timeout.ms = 300000 group.min.session.timeout.ms = 6000 host.name = inter.broker.listener.name = null inter.broker.protocol.version = 1.1-IV0 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 = /tmp/kafka-logs 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 = 1.1-IV0 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 = max.incremental.fetch.session.cache.slots = 1000 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 = 1 num.recovery.threads.per.data.dir = 1 num.replica.alter.log.dirs.threads = null 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 = 10 offsets.topic.compression.codec = 0 offsets.topic.num.partitions = 50 offsets.topic.replication.factor = 1 offsets.topic.segment.bytes = 104857600 password.encoder.cipher.algorithm = AES/CBC/PKCS5Padding password.encoder.iterations = 4096 password.encoder.key.length = 128 password.encoder.keyfactory.algorithm = null password.encoder.old.secret = null password.encoder.secret = null 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.jaas.config = null 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 = [] 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 = 1 transaction.state.log.num.partitions = 50 transaction.state.log.replication.factor = 1 transaction.state.log.segment.bytes = 104857600 transactional.id.expiration.ms = 604800000 unclean.leader.election.enable = false zookeeper.connect = localhost:2181 zookeeper.connection.timeout.ms = 6000 zookeeper.max.in.flight.requests = 10 zookeeper.session.timeout.ms = 6000 zookeeper.set.acl = false zookeeper.sync.time.ms = 2000
在2019-01-22 10:08:40.220时, Producer发送了一个消息
1
2019-01-22 10:08:40.220 [INFO] The message#[topic=event-start-strategy-treatment, key=2d442718, offset=60] is sent to partition#0 at Tue Jan 22 10:08:40 CST 2019 successfully.
在2019-01-22 10:08:40.495时, Consumer处理了此消息, 并提交了Offset
1
2019-01-22 10:08:40.495 [DEBUG] Group hrx-strategy-treatment-action committed offset 62 for partition event-start-strategy-treatment-0
此时Kafka Topic 的Offset为
62
1
2$: bin/kafka-run-class.sh kafka.tools.GetOffsetShell --broker-list localhost:9092 --topic event-start-strategy-treatment
event-start-strategy-treatment:0:62在2019-01-22 10:34:20,471的时候, Kafka Server清除了Offset
1
2
3[2019-01-22 10:24:20,489] INFO [GroupMetadataManager brokerId=0] Removed 0 expired offsets in 0 milliseconds. (kafka.coordinator.group.GroupMetadataManager)
[2019-01-22 10:34:20,471] INFO [GroupMetadataManager brokerId=0] Removed 2 expired offsets in 2 milliseconds. (kafka.coordinator.group.GroupMetadataManager)
[2019-01-22 10:44:20,447] INFO [GroupMetadataManager brokerId=0] Removed 0 expired offsets in 1 milliseconds. (kafka.coordinator.group.GroupMetadataManager)注意: 此时Consumer端没有任何反应
在2019-01-22 10:48:26.596时, 重启consumer, 此时consumer将Topic中的62条消息全部重新消费.
至此, Kafka重新消费消息的问题重现.
结论
Kafka会定时清除日志(消息)和Offsets, 如果Offset丢失了, 而日志还保留了, 这些日志的会被同步到Offset记录中, 并且被标记为未消费的内容, 故这些日志(消息)会被Kafka Consumer重新Pull并消费.
结论: Offset retention should be always greater than log retention. Offset的保留时长应当大于日志(消息)的保留时长.
解决方案: 应当参考KIP-186: Increase offsets retention default to 7 days, 合理配置日志和Offset的保留时长. 新版的Kafka Server不用担心此问题, 因为KIP-186的解决, Kafka Server的默认Offset的保留时长已经修改为7天了.