我用KafkaReact器做Spring。当我们使用 auto.offset.reset = latest
应用程序将重新启动并重新消耗大量消息。我甚至不能完全肯定这是从一开始,但肯定是他们很多。
为什么会这样?我以为偏移量重置为最新值可以避免这种情况。另外,我的理解是,该设置仅适用于偏移丢失的情况。另一个选择是应用程序从未真正提交?这是使用者配置:
allow.auto.create.topics = true
auto.commit.interval.ms = 5000
auto.offset.reset = latest
bootstrap.servers = [xxx]
check.crcs = true
client.dns.lookup = default
client.id =
client.rack =
connections.max.idle.ms = 540000
default.api.timeout.ms = 60000
enable.auto.commit = false
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = pdp-fragments-group
group.instance.id = null
heartbeat.interval.ms = 3000
interceptor.classes = []
internal.leave.group.on.close = true
isolation.level = read_uncommitted
key.deserializer = class org.apache.kafka.common.serialization.StringDeserializer
max.partition.fetch.bytes = 1048576
max.poll.interval.ms = 300000
max.poll.records = 500
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 = 50
request.timeout.ms = 30000
retry.backoff.ms = 100
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 = SSL
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 = [hidden]
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = xxx
ssl.keystore.password = [hidden]
ssl.keystore.type = JKS
ssl.protocol = TLS
ssl.provider = null
ssl.secure.random.implementation = null
ssl.trustmanager.algorithm = PKIX
ssl.truststore.location = config/kafkakeys/KafkaCaCerts.jks
ssl.truststore.password = [hidden]
ssl.truststore.type = JKS
value.deserializer = class org.apache.kafka.common.serialization.StringDeserializer
代码:
public Flux<ReceiverRecord<String, String>> makeReceiverFlux() {
var receiverOptions = ReceiverOptions.<String, String>create(consumerProps)
.subscription(Collections.singletonList(topic));
var kafkaReceiver = KafkaReceiver.create(receiverOptions);
return Flux.defer(kafkaReceiver::receive);
}
public Flux<ReceiverRecord<String, String>> transformAndCommitKafkaMessages(Flux<ReceiverRecord<String, String>> kafkaFlux,
RecordsProcessor recordProcessor) {
return parallelise(kafkaFlux, recordProcessor);
}
Flux<ReceiverRecord<String, String>> parallelise(Flux<ReceiverRecord<String, String>> kafkaFlux,
RecordsProcessor recordsProcessor) {
return kafkaFlux.groupBy(msg -> msg.partition() % nWorkers)
.flatMap(groupedFlux -> groupedFlux.publishOn(this.scheduler)
.flatMap(record -> measureTime(process(recordsProcessor, record)))
.sample(Duration.ofSeconds(commitIntervalSeconds))
.concatMap(record -> commitRecord(record)));
}
暂无答案!
目前还没有任何答案,快来回答吧!