springboot+kafka消费-Toy模板网

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监听器


 import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.Acknowledgment;
import org.springframework.kafka.support.KafkaHeaders;
/**
     * 监听消息
     */
    @KafkaListener(topics = {订阅主题，可订阅多个}, groupId = "分组，不能为空",containerFactory="kafkaListenerContainerFactory")
    public void kafkaListener(ConsumerRecord<?, ?> record, Acknowledgment ack, @Header(KafkaHeaders.RECEIVED_TOPIC) String topic) {
        try {
            log.info("这是消费者在消费消息：" + record.topic() + "----" + record.partition() + "----" + record.value());
            if (Objects.equals(EVENT, record.topic())) {
                Object value = record.value();
                log.info("iot消息---");       
                ack.acknowledge();
            }
        } catch (Exception e){
         
            log.error(String.format("kafka监听消息失败:%s-%s", record.topic() ,record.value()));
        }

kafka配置文章来源地址https://www.toymoban.com/news/detail-743663.html

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.core.ConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaConsumerFactory;
import org.springframework.kafka.listener.ContainerProperties;

import java.util.HashMap;
import java.util.Map;
import java.util.Properties;



@Configuration
public class KafkaMQConfig {
    private String servers ="监听服务器";
    // 消费组标识
    private String groupId ="";
    // 偏移量的起始点
    private String autoOffsetReset ="latest";
    // 偏移量的提交方式
    private String enableAutoCommit = "false";
    // 一次从kafka服务拉取的数据量
    private String maxPollRecords ="65535";
    // 监测消费端心跳时间
    private String heartbeatInterval ="3000";
    // 两次拉取数据的最大时间间隔
    private String maxPollIntervalMs ="50000";

    @Bean
    public KafkaProducer kafkaProducer() {
        Properties props = new Properties();
        // 设置接入点，请通过控制台获取对应 Topic 的接入点
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, servers);
        // Kafka 消息的序列化方式
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        // 请求的最长等待时间
        props.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, 30 * 1000);
        // 构造 Producer 对象，注意，该对象是线程安全的
        // 一般来说，一个进程内一个 Producer 对象即可
        // 如果想提高性能，可构造多个对象，但最好不要超过 5 个
        return new KafkaProducer<String, String>(props);
    }
    // 消费端相关配置
    @Bean
    public Map<String, Object> consumerConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, servers);
        props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
        props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit);
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset);
        props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, maxPollRecords);
        props.put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, maxPollIntervalMs);
        props.put(ConsumerConfig.HEARTBEAT_INTERVAL_MS_CONFIG, heartbeatInterval);
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        return props;
    }
    @Bean
    public ConsumerFactory<String, String> consumerFactory() {
        return new DefaultKafkaConsumerFactory<>(consumerConfigs());
    }
    @Bean
    public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.getContainerProperties().setAckMode(ContainerProperties.AckMode.MANUAL_IMMEDIATE);
        return factory;
    }


}

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