Details
Major Description
こんにちは。すべてが高耐久性のために構成されていて、1回だけの構成を使用している場合でも、重複を受け取る場合があります（非常にまれですが、あります）。
この問題の原因となるアプリケーションコンテキストとテストシナリオを以下で確認してください。
Kafkaクラスターのセットアップ
3 x Kafkaブローカー（host1*に1つ、*host2*に2つ、*host3に*3*つ）
3 x Zookeeperインスタンス（host1*に1つ、*host2*に2つ、*host3に*3*つ）
Kafka構成
ブローカーID = 1,2,3
num.network.threads = 2
num.io.threads = 8
socket.send.buffer.bytes = 102400
socket.receive.buffer.bytes = 102400
socket.request.max.bytes = 104857600
log.dirs = / home / kafka / logs /
kafka min.insync.replicas = 3
transaction.state.log.min.isr = 3
default.replication.factor = 3
log.retention.minutes = 600
log.segment.bytes = 1073741824
log.retention.check.interval.ms = 300000 zookeeper.connect =
host1：2181、host2：2181、host3：2181 zookeeper.connection.timeout.ms =
6000
group.initial.rebalance.delay.ms = 1000
log.message .timestamp.type = LogAppendTime
delete.topic.enable = true
auto.create.topics.enable = false
unclean.leader.election.enable = false
ZooKeeper configuration
tickTime=2000
dataDir=/home/kafka/logs/zk
clientPort=2181
maxClientCnxns=0
initLimit=5
syncLimit=2
server.1=host1:2888:3888
server.2=host2:2888:3888
server.3=host3:2888:3888
autopurge.snapRetainCount=3
autopurge.purgeInterval=24
Kafka internal topics description
Topic:__transaction_state PartitionCount:50 ReplicationFactor:3 Configs:segment.bytes=104857600,unclean.leader.election.enable=false,compression.type=uncompressed,cleanup.policy=compact,min.insync.replicas=3
Topic: __transaction_state Partition: 0 Leader: 1 Replicas: 3,2,1 Isr: 1,2,3
Topic:__consumer_offsets PartitionCount:50 ReplicationFactor:3 Configs:segment.bytes=104857600,unclean.leader.election.enable=false,min.insync.replicas=3,cleanup.policy=compact,compression.type=producer
Topic: __consumer_offsets Partition: 0 Leader: 1 Replicas: 3,2,1 Isr: 1,2,3
Application topics
Topic input-event
Topic:input-event PartitionCount:3 ReplicationFactor:3 Configs:retention.ms=28800001,unclean.leader.election.enable=false,min.insync.replicas=3,message.timestamp.difference.max.ms=28800000
Topic: input-event Partition: 0 Leader: 1 Replicas: 1,2,3 Isr: 1,2,3
Topic: input-event Partition: 1 Leader: 2 Replicas: 2,3,1 Isr: 1,2,3
Topic: input-event Partition: 2 Leader: 3 Replicas: 3,1,2 Isr: 1,2,3
Topic output-event
Topic:output-event PartitionCount:3 ReplicationFactor:3 Configs:retention.ms=28800001,unclean.leader.election.enable=false,min.insync.replicas=3,message.timestamp.difference.max.ms=28800000
Topic: output-event Partition: 0 Leader: 2 Replicas: 2,3,1 Isr: 1,2,3
Topic: output-event Partition: 1 Leader: 3 Replicas: 3,1,2 Isr: 1,2,3
Topic: output-event Partition: 2 Leader: 1 Replicas: 1,2,3 Isr: 1,2,3
Application consumer properties
o.a.k.clients.consumer.ConsumerConfig : ConsumerConfig values:
auto.commit.interval.ms = 5000
auto.offset.reset = earliest
bootstrap.servers = [host1:9092, host2:9092, host3:9092]
check.crcs = true
client.id =
connections.max.idle.ms = 540000
default.api.timeout.ms = 60000
enable.auto.commit = false
exclude.internal.topics = true
fetch.max.bytes = 134217728
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = groupId
heartbeat.interval.ms = 3000
interceptor.classes = []
internal.leave.group.on.close = true
isolation.level = read_committed
key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
max.partition.fetch.bytes = 134217728
max.poll.interval.ms = 300000
max.poll.records = 1
metadata.max.age.ms = 300000
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 30000
partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor]
receive.buffer.bytes = 65536
reconnect.backoff.max.ms = 1000
reconnect.backoff.ms = 1000
request.timeout.ms = 30000
retry.backoff.ms = 1000
sasl.client.callback.handler.class = null
sasl.jaas.config = null
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.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.mechanism = GSSAPI
security.protocol = PLAINTEXT
send.buffer.bytes = 131072
session.timeout.ms = 10000
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
ssl.endpoint.identification.algorithm = https
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
value.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
Application producer properties
bootstrapServers = "host1, host2, host3"
transactionIdPrefix = "my-producer-"${instance}"
"enable.idempotence" = "true"
"acks" = "all"
"retries" = "2147483647"
"transaction.timeout.ms" = "10000"
"max.in.flight.requests.per.connection" = "1"
"reconnect.backoff.max.ms" = "1000"
"reconnect.backoff.ms" = "1000"
"retry.backoff.ms" = "1000"
Application handling commits
Using KafkaTransactionManager, we start transaction, write message to output topic using KafkaTemplate and also send consumer offsets (spring-kafka 2.2.8.RELEASE).
Test expected/actual
Test description
-Write 32,000 messages to input topic
-Start 3 application instances
-Start process the messages one by one (max.poll.records = 1)
-During processing, send SIGKILL (kill -9) in parallel to host1 and host2 Kafka Brokers for 50 times.
-Wait 60 seconds
-During processing, send SIGKILL (kill -9) in parallel to host1 and host3 Kafka Brokers for 50 times.
-Wait 60 seconds
-処理中に、SIGKILL（kill -9）を*host2*および*host3 KafkaBrokers*に50回並行して送信します。
出力トピックへのメッセージは32,000であると予想されていましたが、実際には重複（少なくとも1つ）になる場合があります。
32,000通のメッセージが表示され、すべてが正しい場合があります。
問題が発生するたびに、イベントの順序は同じです。
グループが}}コミットの直前に{{リバランスしているため、}}この{{ハートビートの試行は失敗しました。
添付のアプリケーションログファイル。