Spring Boot操作Kafka

(1).Maven的配置

<dependency>    <groupId>org.apache.kafka</groupId>    <artifactId>kafka_2.11</artifactId>    <version>0.10.2.0</version></dependency>

(2).增加配置文件: application.properties

# kafka连贯地址,多个地址之间应用","隔开spring.kafka.bootstrap-servers = master:9092# 生产者配置spring.kafka.producer.acks = 0spring.kafka.producer.key-serializer = org.apache.kafka.common.serialization.StringSerializerspring.kafka.producer.value-serializer = org.apache.kafka.common.serialization.StringSerializerspring.kafka.producer.retries = 3spring.kafka.producer.batch-size = 4096spring.kafka.producer.buffer-memory = 33554432spring.kafka.producer.compression-type = gzip# 消费者配置spring.kafka.consumer.group-id = mygroupspring.kafka.consumer.auto-commit-interval = 5000spring.kafka.consumer.heartbeat-interval = 3000spring.kafka.consumer.key-deserializer = org.apache.kafka.common.serialization.StringDeserializerspring.kafka.consumer.value-deserializer = org.apache.kafka.common.serialization.StringDeserializerspring.kafka.consumer.auto-offset-reset = earliestspring.kafka.consumer.enable-auto-commit = true# listenner, 标识消费者监听的个数spring.kafka.listener.concurrency = 8# topic的名字kafka.topic1 = topic1

(3).生产者代码

import lombok.extern.slf4j.Slf4j;import org.springframework.beans.factory.annotation.Value;import org.springframework.kafka.core.KafkaTemplate;@Service@Slf4jpublic class MyKafkaProducerServiceImpl implements MyKafkaProducerService {    @Resource    private KafkaTemplate<String, String> kafkaTemplate;        // 读取配置文件    @Value("${kafka.topic1}")    private String topic;    @Override    public void sendKafka() {      kafkaTemplate.send(topic, "hell world");    }}

(4),消费者代码

@Component@Slf4jpublic class MyKafkaConsumer {  @KafkaListener(topics = "${kafka.topic1}")    public void listen(ConsumerRecord<?, ?> record) {        Optional<?> kafkaMessage = Optional.ofNullable(record.value());        if (kafkaMessage.isPresent()) {            log.info("----------------- record =" + record);            log.info("------------------ message =" + kafkaMessage.get());}