Apache camel kafka消费者性能问题

Question

我们观察到，尽管我们的 kafka 生产率很高，但我们的 Apache Camel Kafka 只能处理 100Kb/秒。我们有 6 个 kafka 分区和 6 个 Apache Camel Kafka 消费者实例。

我们尝试了多线程选项 - threads(300, 500) 。但是我们看不到任何改进

如果有人能帮助理解正确的配置以提高kafka的消费率，那将是非常有帮助的。

我们正在使用 Apache Camel Kafka 消费者的所有默认设置。

我可以在 spring boot 应用程序启动时看到下面的 kafka 配置：

INFO 1 — [           main] o.a.k.clients.producer.ProducerConfig    : ProducerConfig values:
        acks = 1
        batch.size = 16384
        bootstrap.servers = [kafka1.xxx.net:9093, kafka2.xxx.net:9093, kafka3.xxx.net:9093, kafka4.xxx.net:9093, kafka5.xxx.net:9093, kafka6.xxx.net:9093]
        buffer.memory = 33554432
        client.dns.lookup = use_all_dns_ips
        client.id = producer-1
        compression.type = none
        connections.max.idle.ms = 540000
        delivery.timeout.ms = 120000
        enable.idempotence = false
        interceptor.classes = []
        key.serializer = class org.apache.kafka.common.serialization.StringSerializer
        linger.ms = 0
        max.block.ms = 60000
        max.in.flight.requests.per.connection = 5
        max.request.size = 104857600
        metadata.max.age.ms = 300000
        metadata.max.idle.ms = 300000
        metric.reporters = [org.apache.kafka.common.metrics.JmxReporter]
        metrics.num.samples = 2
        metrics.recording.level = INFO
        metrics.sample.window.ms = 30000
        partitioner.class = class org.apache.kafka.clients.producer.internals.DefaultPartitioner
        receive.buffer.bytes = 65536000
        reconnect.backoff.max.ms = 1000
        reconnect.backoff.ms = 50
        request.timeout.ms = 30000
        retries = 0
        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
        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 = [hidden]
        ssl.keymanager.algorithm = SunX509
        ssl.keystore.certificate.chain = null
        ssl.keystore.key = null
        ssl.keystore.location = /tmp/certs/XXX.jks
        ssl.keystore.password = [hidden]
        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 = /tmp/certsFolder/kafka.truststore.jks
        ssl.truststore.password = [hidden]
        ssl.truststore.type = JKS
        transaction.timeout.ms = 60000
        transactional.id = null
        value.serializer = class org.apache.kafka.common.serialization.StringSerializer

我们尝试了多线程选项 - .threads(300, 500) 。但是我们看不到任何改进。

是不是跟kafka消费属性有关系？

spring-boot-starter-parent 版本 - 2.6.8 org.apache.camel.springboot 版本 - 3.14.1

Grafana 仪表板 - 生产者利率和消费者利率概览：

Kafka Partition 1 – Producer and Consumer：Producer是一条常量线。但是 Apache 骆驼消费者的消费率有起有落

Kafka Partition 2 – Producer和Consumer：Producer是一条常量线。但是 Apache 骆驼消费者的消费率有起有落

Kafka Partition 3 – Producer和Consumer：Producer是一条常量线。但是 Apache 骆驼消费者的消费率有起有落

Kafka Partition 4 – Producer和Consumer：Producer是一条常量线。但是 Apache camel consumer 的消费率只有 30 B/s。

Kafka Partition 5 - Producer和Consumer：Producer是一条常量线。但是 Apache camel consumer 的消费率只有 30 B/s。

Kafka Partition 6 – Producer和Consumer：Producer是一条常量线。但是 Apache 骆驼消费者的消费率有起有落。