SpringBoot2.x 整合Kafka

环境准备

producer端maven依赖

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

application.properties配置

## Spring整合kafka
spring.kafka.bootstrap-servers=192.168.21.107:9092,192.168.21.108:9092,192.168.21.109:9092
# kafka producer 发送消息失败时的重试次数
spring.kafka.producer.retries=3
# 批量发送数据的配置
spring.kafka.producer.batch-size=16384
# 设置kafka 生产者内存缓冲区的大小(32M)
spring.kafka.producer.buffer-memory=33554432
# kafka消息的序列化配置
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringDeserializer
spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringDeserializer
# kafka 投递配置项
spring.kafka.producer.acks=1

生产端Service编写

kafkaProducerService.java

@Slf4j
@Component
public class KafkaProducerService {
    @Autowired
    private KafkaTemplate<String,Object> kafkaTemplate;

    public void sendMessage(String topic,Object object){
        ListenableFuture<SendResult<String, Object>> future = kafkaTemplate.send(topic, object);

        future.addCallback(new ListenableFutureCallback<SendResult<String, Object>>() {
            @Override
            public void onFailure(Throwable throwable) {
                log.error("发送消息失败:"+throwable.getMessage());
            }

            @Override
            public void onSuccess(SendResult<String, Object> result) {
                log.info("发送消息成功:"+result.toString());
            }
        });
    }
}

consumer端application.xml配置

# Spring整合kafka
spring.kafka.bootstrap-servers=192.168.21.107:9092,192.168.21.108:9092,192.168.21.109:9092
# kafka consumer 消息的签收机制:手工签收
spring.kafka.consumer.enable-auto-commit=false
# 手工签收
spring.kafka.listener.ack-mode=manual
# latest[默认]:在偏移量无效的情况下,消费者从最新的记录开始读取数据
# earliest: 在偏移量无效的情况下,消费者从起始位置读取分区的进度
spring.kafka.consumer.auto-offset-reset=earliest

# 序列化配置
spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization
spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization

#并行度
spring.kafka.listener.concurrency=5

消费端Service

KafkaConsumerService.java

@KafkaListener(groupId = "group02",topics = "topic02")
    public void onMessage(ConsumerRecord<String,Object> record, Acknowledgment acknowledgment, Consumer<?,?> consumer){
        log.info("消费端接收消息:{}",record.value());
        record.value();
        //手工签收机制
        acknowledgment.acknowledge();
    }
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