新建spring boot项目
这里使用intellij IDEA
添加kafka集成maven
<?xml version="1.0" encoding="UTF-8"?><project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.example</groupId> <artifactId>demo</artifactId> <version>0.0.1-SNAPSHOT</version> <packaging>jar</packaging> <name>demo</name> <description>Demo project for Spring Boot</description> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>1.5.8.RELEASE</version> <relativePath/> <!-- lookup parent from repository --> </parent> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding> <java.version>1.8</java.version> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> </dependencies> <build> <plugins> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> </plugin> </plugins> </build></project>
项目中application.properties 添加
spring.kafka.bootstrap-servers=vm208:9092,vm:9092,vm50:9092spring.kafka.consumer.auto-offset-reset=latestspring.kafka.consumer.group-id=local_testspring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializerspring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializerspring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializerspring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializerspring.kafka.producer.acks=1
新建KafkaConsumer消费类
package com.example.demo.consumer;import org.apache.kafka.clients.consumer.ConsumerRecord;import org.slf4j.Logger;import org.slf4j.LoggerFactory;import org.springframework.kafka.annotation.KafkaListener;import org.springframework.stereotype.Component;@Componentpublic class KafkaConsumer { private Logger logger = LoggerFactory.getLogger(this.getClass()); @KafkaListener(topics = {"test"}) public void listen(ConsumerRecord<?, ?> record) { System.out.printf("offset = %d,key =%s,value=%s/n", record.offset(), record.key(), record.value()); }}启动spring-boot程序,在kafka集群,模拟发送topic,检验接收
复制代码代码如下:bin/kafka-console-producer.sh --broker-list vm208:9092,vm210:9092,vm50:9092 --topic test
编写producer代码
package com.example.demo.producer;import org.apache.kafka.clients.producer.ProducerRecord;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.kafka.core.KafkaTemplate;import org.springframework.stereotype.Component;@Componentpublic class KafkaProducer { @Autowired private KafkaTemplate kafkaTemplate; String topic="test"; public void sendMessage(String key,String data){ kafkaTemplate.send(new ProducerRecord(topic,key,data)); }}建立一个restful模拟发送( //http://localhost:8080/kafka/send.do?key=2&data=allen-test-message)
package com.example.demo.controller;import com.example.demo.producer.KafkaProducer;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.web.bind.annotation.RequestMapping;import org.springframework.web.bind.annotation.RequestMethod;import org.springframework.web.bind.annotation.RequestParam;import org.springframework.web.bind.annotation.RestController;@RestControllerpublic class ProducerController { @Autowired private KafkaProducer kafkaProducer; @RequestMapping(value = "/kafka/send.do", method = RequestMethod.GET) public String sendMessage(@RequestParam(value = "key") String key, @RequestParam(value = "data") String data) { kafkaProducer.sendMessage(key, data); return "sucess"; }}可以发现 spring-kafka大大减少了代码工作量.
官方文档: https://docs.spring.io/spring-kafka/docs/1.2.2.RELEASE/reference/html/
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持武林网。