spring kafka(非集成)消费者不消费信息

gt0wga4j  于 2021-06-08  发布在  Kafka
关注(0)|答案(1)|浏览(451)

我正在将我的应用程序与spring-kafka集成(不是spring-integration-kafka)。以下是项目的spring文档:http://docs.spring.io/spring-kafka/docs/1.0.1.release/reference/htmlsingle
我的制作人工作得很好,但消费者没有消费任何信息。任何指示。
以下是我的配置:

@EnableKafka
public class MyConfig {

    @Value("${kafka.broker.list}") // List of servers server:port,
    private String kafkaBrokerList;

    @Bean
    public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, Message>> kafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<Integer, Message> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setConcurrency(12);
        factory.getContainerProperties().setPollTimeout(3000);
        factory.getContainerProperties().setIdleEventInterval(60000L);
        factory.setAutoStartup(Boolean.TRUE);
        factory.setMessageConverter(new StringJsonMessageConverter());
        return factory;
    }

    @Bean
    public ConsumerFactory<Integer, Message> consumerFactory() {
        JsonDeserializer<Message> messageJsonDeserializer = new JsonDeserializer<>(Message.class);
        return new DefaultKafkaConsumerFactory<>(consumerConfigs(), new IntegerDeserializer(), messageJsonDeserializer);
    }

    @Bean
    public Map<String, Object> consumerConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaBrokerList);
        props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, true);
        props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, 10000);
        props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 15000);
        props.put(ConsumerConfig.CONNECTIONS_MAX_IDLE_MS_CONFIG, 60000);
        props.put(ConsumerConfig.RETRY_BACKOFF_MS_CONFIG, 10000);
        return props;
    }

    @KafkaListener(topics = "myTopic", containerFactory = "kafkaListenerContainerFactory")
    public void listen(@Payload Message message) {
        System.out.println(message);
    }

}

用更多信息编辑

谢谢你的回复。我在日志中没有看到任何异常。我也试过了 KafkaTemplate 使用类似的配置,我可以将消息发布到队列,但对于消费者来说,没有运气。我正在将代码改为使用字符串而不是消息对象。以下是日志的部分内容:

2016-07-11 09:31:43.314 INFO [RMI TCP Connection(2)-127.0.0.1] o.a.k.c.c.ConsumerConfig [AbstractConfig.java:165] ConsumerConfig values: 
    metric.reporters = []  
    metadata.max.age.ms = 300000  
    value.deserializer = class org.apache.kafka.common.serialization.StringDeserializer  
    group.id = 
    partition.assignment.strategy = [org.apache.kafka.clients.consumer.RangeAssignor]  
    reconnect.backoff.ms = 50  
    sasl.kerberos.ticket.renew.window.factor = 0.8  
    max.partition.fetch.bytes = 1048576  
    bootstrap.servers = [app1.qa:9092, app1.qa:9093, app2.qa:9092, app2.qa:9093, app3.qa:9092, app3.qa:9093]  
    retry.backoff.ms = 10000  
    sasl.kerberos.kinit.cmd = /usr/bin/kinit  
    sasl.kerberos.service.name = null  
    sasl.kerberos.ticket.renew.jitter = 0.05  
    ssl.keystore.type = JKS  
    ssl.trustmanager.algorithm = PKIX  
    enable.auto.commit = true  
    ssl.key.password = null  
    fetch.max.wait.ms = 500  
    sasl.kerberos.min.time.before.relogin = 60000  
    connections.max.idle.ms = 60000  
    ssl.truststore.password = null  
    session.timeout.ms = 15000  
    metrics.num.samples = 2  
    client.id =   
    ssl.endpoint.identification.algorithm = null  
    key.deserializer = class org.apache.kafka.common.serialization.IntegerDeserializer  
    ssl.protocol = TLS  
    check.crcs = true  
    request.timeout.ms = 40000  
    ssl.provider = null  
    ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]  
    ssl.keystore.location = null  
    heartbeat.interval.ms = 3000  
    auto.commit.interval.ms = 10000  
    receive.buffer.bytes = 32768  
    ssl.cipher.suites = null  
    ssl.truststore.type = JKS  
    security.protocol = PLAINTEXT  
    ssl.truststore.location = null  
    ssl.keystore.password = null  
    ssl.keymanager.algorithm = SunX509  
    metrics.sample.window.ms = 30000  
    fetch.min.bytes = 1  
    send.buffer.bytes = 131072  
    auto.offset.reset = latest

我在日志中也看到了以下内容:

2016-07-11 09:31:53.515 INFO [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-kafka-consumer-10] o.s.k.l.KafkaMessageListenerContainer [AbstractMessageListenerContainer.java:224] partitions revoked:[]  
2016-07-11 09:31:53.515 INFO [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-kafka-consumer-11] o.s.k.l.KafkaMessageListenerContainer [AbstractMessageListenerContainer.java:224] partitions revoked:[]  
2016-07-11 09:31:53.516 INFO [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-kafka-consumer-3] o.s.k.l.KafkaMessageListenerContainer [AbstractMessageListenerContainer.java:224] partitions revoked:[]  
2016-07-11 09:31:53.516 INFO [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-kafka-consumer-12] o.s.k.l.KafkaMessageListenerContainer [AbstractMessageListenerContainer.java:224] partitions revoked:[]  
2016-07-11 09:31:53.578 INFO [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-kafka-consumer-8] o.a.k.c.c.i.AbstractCoordinator [AbstractCoordinator.java:529] Marking the coordinator 2147483639 dead.  
2016-07-11 09:31:53.578 INFO [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-kafka-consumer-3] o.a.k.c.c.i.AbstractCoordinator [AbstractCoordinator.java:529] Marking the coordinator 2147483639 dead.  
2016-07-11 09:31:53.578 INFO [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-kafka-consumer-10] o.a.k.c.c.i.AbstractCoordinator [AbstractCoordinator.java:529] Marking the coordinator 2147483639 dead.  
2016-07-11 09:31:53.578 INFO [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-kafka-consumer-12] o.a.k.c.c.i.AbstractCoordinator [AbstractCoordinator.java:529] Marking the coordinator 2147483639 dead.
zazmityj

zazmityj1#

上述文件说明:
虽然从低级kafka使用者和生产者的Angular 来看,序列化器/反序列化器api非常简单和灵活,但在消息传递级别上,kafkatemplate和@kafkalistener是存在的,这是不够的。为了方便地在org.springframework.messaging.message之间进行转换,spring for apache kafka提供了带有messagingmessageconverter实现及其stringjsonmessageconverter定制的messageconverter抽象。
但在你的情况下,你结合 MessageConverter :

factory.setMessageConverter(new StringJsonMessageConverter());

有习惯的 Deserializer :

JsonDeserializer<Message> messageJsonDeserializer = new JsonDeserializer<>(Message.class);

最简单的修复方法应该是使用 StringDeserializer 取而代之的是:
https://kafka.apache.org/090/javadoc/org/apache/kafka/common/serialization/stringdeserializer.html
讨论上述给定的日志消息 Marking the coordinator XXX dead. ,错误与 spring-kafka 但这意味着问题出在你的Kafka配置上。在我的例子中,当kafka节点对于zookeper来说是不可到达的时候,我们遇到了这样的问题。为了解决这个问题,我建议您在本地安装kafka和zookeper,并确保使用 kafka-console-producer 以及 kafka-console-consumer ,例如:
https://www.cloudera.com/documentation/kafka/latest/topics/kafka_command_line.html
然后,作为下一步,你可以检查你的样品 spring-kafka 具有相同本地安装的应用程序。

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