Springboot整合kafka

引入依赖

<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
</dependency>

application.yml

spring:
  kafka:
    bootstrap-servers: 120.53.244.137:9092
    producer:
      retries: 3
    consumer:
      group-id: defaultConsumerGroup
      enable-auto-commit: true
      auto-commit-interval: 100ms

其他配置参考

###########【Kafka集群】###########
spring.kafka.bootstrap-servers=112.126.74.249:9092,112.126.74.249:9093
###########【初始化生产者配置】###########
# 重试次数
spring.kafka.producer.retries=0
# 应答级别:多少个分区副本备份完成时向生产者发送ack确认(可选0、1、all/-1)
spring.kafka.producer.acks=1
# 批量大小
spring.kafka.producer.batch-size=16384
# 提交延时
spring.kafka.producer.properties.linger.ms=0
# 当生产端积累的消息达到batch-size或接收到消息linger.ms后,生产者就会将消息提交给kafka
# linger.ms为0表示每接收到一条消息就提交给kafka,这时候batch-size其实就没用了

# 生产端缓冲区大小
spring.kafka.producer.buffer-memory = 33554432
# Kafka提供的序列化和反序列化类
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer
# 自定义分区器
# spring.kafka.producer.properties.partitioner.class=com.felix.kafka.producer.CustomizePartitioner

###########【初始化消费者配置】###########
# 默认的消费组ID
spring.kafka.consumer.properties.group.id=defaultConsumerGroup
# 是否自动提交offset
spring.kafka.consumer.enable-auto-commit=true
# 提交offset延时(接收到消息后多久提交offset)
spring.kafka.consumer.auto.commit.interval.ms=1000
# 当kafka中没有初始offset或offset超出范围时将自动重置offset
# earliest:重置为分区中最小的offset;
# latest:重置为分区中最新的offset(消费分区中新产生的数据);
# none:只要有一个分区不存在已提交的offset,就抛出异常;
spring.kafka.consumer.auto-offset-reset=latest
# 消费会话超时时间(超过这个时间consumer没有发送心跳,就会触发rebalance操作)
spring.kafka.consumer.properties.session.timeout.ms=120000
# 消费请求超时时间
spring.kafka.consumer.properties.request.timeout.ms=180000
# Kafka提供的序列化和反序列化类
spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer
spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializer
# 消费端监听的topic不存在时，项目启动会报错(关掉)
spring.kafka.listener.missing-topics-fatal=false
# 设置批量消费
# spring.kafka.listener.type=batch
# 批量消费每次最多消费多少条消息
# spring.kafka.consumer.max-poll-records=50

生成者

 

@RestController
public class KafkaProducer {
    @Autowired
    private KafkaTemplate<String, Object> kafkaTemplate;

    // 发送消息
    @GetMapping("/kafka/normal/{message}")
    public void sendMessage1(@PathVariable("message") String normalMessage) {
        kafkaTemplate.send("topic1", normalMessage);
    }
}

消费者

@Component
public class KafkaConsumer {
    // 消费监听
    @KafkaListener(topics = {"topic1"})
    public void onMessage1(ConsumerRecord<?, ?> record){
        // 消费的哪个topic、partition的消息,打印出消息内容
        System.out.println("简单消费："+record.topic()+"-"+record.partition()+"-"+record.value());
    }