Spring Boot整合kafka

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发布于 2025-04-17 10:05:47

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Spring Boot整合kafka

此处简单记录一下 SpringBoot 和 Kafka 的整合。先初始化一个SpringBoot工程

搭建kafka环境

这里从用docker方式搭建kafka，kafka需要注册到注册中心上，所以要先安装zookeeper zookeeper的docker-compose.yaml文件

yaml 代码解读复制代码version: '3.1'

services:
  zookeeper:
    image: zookeeper
    container_name: zookeeper
    volumes:
      - ./config:/conf
    ports:
      - "2181:2181"
    environment:
      ZOO_MY_ID: 1

接下来是kafka的docker-compose.yaml文件

yaml 代码解读复制代码version: '3.7'
services:
  zookeeper:
    image: wurstmeister/zookeeper
    volumes:
      - ./data:/data
    ports:
      - 2182:2181

  kafka:
    image: wurstmeister/kafka
    ports:
      - 9092:9092
    environment:
      KAFKA_BROKER_ID: 0
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://0.0.0.0:9092
      KAFKA_CREATE_TOPICS: "kafeidou:2:0"   #kafka启动后初始化一个有2个partition(分区)0个副本名叫kafeidou的topic
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092
    volumes:
      - ./kafka-logs:/kafka
    depends_on:
      - zookeeper

引入依赖

xml 代码解读复制代码<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
</dependency>

在application.properties中添加配置

Propreties 代码解读复制代码# 生产者配置
spring.kafka.bootstrap-servers=127.0.0.1:14993
spring.kafka.producer.batch-size=16384
spring.kafka.producer.buffer-memory=33554432
spring.kafka.producer.acks=1
# key的序列化方式为String
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
# value的序列化方式为字节数组
spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.ByteArraySerializer
# 消费者配置
spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer
spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.ByteArrayDeserializer
spring.kafka.consumer.group-id=story-has-you
# 自动偏移量设置
spring.kafka.consumer.auto-offset-reset=earliest
# 消费者改成手动提交
spring.kafka.consumer.enable-auto-commit=false
# 手动ack
spring.kafka.advertised.listener.ack-mode=manual
spring.kafka.listener.ack-mode=manual
spring.kafka.listener.missing-topics-fatal=false

新增配置类

kafkaConfig.java

java 代码解读复制代码import org.apache.kafka.clients.admin.NewTopic;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.kafka.ConcurrentKafkaListenerContainerFactoryConfigurer;
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.KafkaTemplate;
import org.springframework.kafka.listener.ContainerProperties;
import org.springframework.kafka.listener.DeadLetterPublishingRecoverer;
import org.springframework.kafka.listener.SeekToCurrentErrorHandler;
import org.springframework.util.backoff.FixedBackOff;

/**
 * The type Kafka config.
 *
 * @author fangxi created by 2021/6/15
 */
@Configuration
public class KafkaConfig {

    /**
     * The Kafka template.
     */
    @Autowired
    private KafkaTemplate<Object, Object> kafkaTemplate;

    /**
     * 初始化topic
     *
     * @return the new topic
     */
    @Bean
    public NewTopic changChunFawRealFaultInfo() {
        return new NewTopic("story-has-you", 1, (short) 1);
    }


    /**
     * 配置kafka的重试次数
     *
     * @param configurer           the configurer
     * @param kafkaConsumerFactory the kafka consumer factory
     * @return the concurrent kafka listener container factory
     */
    @Bean("kafkaListenerContainerFactory")
    public ConcurrentKafkaListenerContainerFactory<Object, Object> kafkaListenerContainerFactory(
        ConcurrentKafkaListenerContainerFactoryConfigurer configurer,
        ConsumerFactory<Object, Object> kafkaConsumerFactory) {
        ConcurrentKafkaListenerContainerFactory<Object, Object> factory = new ConcurrentKafkaListenerContainerFactory<>();
        configurer.configure(factory, kafkaConsumerFactory);
        // 最大重试次数3次
        factory.setErrorHandler(new SeekToCurrentErrorHandler(new DeadLetterPublishingRecoverer(kafkaTemplate), new FixedBackOff(0, 3)));
        factory.getContainerProperties().setAckMode(ContainerProperties.AckMode.MANUAL);
        return factory;
    }
}

生产者发送

java 代码解读复制代码@Autowired
private KafkaTemplate<String, byte[]> kafkaTemplate;

kafkaTemplate.send("story-has-you", "hello");

消费者监听

java 代码解读复制代码
/**
    * On message.
    *
    * @param records the records
    */
@KafkaListener(topics = "story-has-you", groupId = "story-has-you", containerFactory = "kafkaListenerContainerFactory")
public void qingDaoMessage(ConsumerRecord<String, byte[]> records, Acknowledgment ack) {
    try {
		String data = new String(records.value());
        if (data == null) {
            return;
        }
		// 打印hello
        log.info("从kafka接收到消息, {}", data)
    } catch (Exception e) {
        log.error("kafka处理消息异常", e);
    } finally {
		// 手动ack, 通知kafka已经消费
        ack.acknowledge();
    }

}