Spring Boot 整合 kafka

Spring Boot 整合 kafka

文章更新时间：2021/10/29

一、创建Spring boot 工程

创建过程不再描述，创建后的工程结构如下：

POM文件

<?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 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>com.zhbf</groupId>
    <artifactId>kafka</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>kafka</name>
    <description>kafka示例工程</description>

    <properties>
        <java.version>1.8</java.version>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
        <spring-boot.version>2.2.9.RELEASE</spring-boot.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
        </dependency>

        <!--引入kafka依赖-->
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
            <version>2.4.1.RELEASE</version>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
            <exclusions>
                <exclusion>
                    <groupId>org.junit.vintage</groupId>
                    <artifactId>junit-vintage-engine</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
    </dependencies>

    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-dependencies</artifactId>
                <version>${spring-boot.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.8.1</version>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                    <encoding>UTF-8</encoding>
                </configuration>
            </plugin>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <version>2.3.7.RELEASE</version>
                <configuration>
                    <mainClass>com.zhbf.kafka.KafkaApplication</mainClass>
                </configuration>
                <executions>
                    <execution>
                        <id>repackage</id>
                        <goals>
                            <goal>repackage</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

</project>

application.yml配置文件

server:
  port: 8080

spring:
  application:
    name: kafka
  kafka:
    bootstrap-servers: 127.0.0.1:9092,127.0.0.1:9093,127.0.0.1:9094 # kafka集群信息
    producer: # 生产者配置
      retries: 3 # 设置大于0的值，则客户端会将发送失败的记录重新发送
      batch-size: 16384 #16K
      buffer-memory: 33554432 #32M
      acks: 1
      # 指定消息key和消息体的编解码方式
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
    consumer:
      group-id: zhTestGroup # 消费者组
      enable-auto-commit: false # 关闭自动提交
      auto-offset-reset: earliest # 当各分区下有已提交的offset时，从提交的offset开始消费；无提交的offset时，从头开始消费
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
    listener:
      # 当每一条记录被消费者监听器（ListenerConsumer）处理之后提交
      # RECORD
      # 当每一批poll()的数据被消费者监听器（ListenerConsumer）处理之后提交
      # BATCH
      # 当每一批poll()的数据被消费者监听器（ListenerConsumer）处理之后，距离上次提交时间大于TIME时提交
      # TIME
      # 当每一批poll()的数据被消费者监听器（ListenerConsumer）处理之后，被处理record数量大于等于COUNT时提交
      # COUNT
      # TIME |　COUNT　有一个条件满足时提交
      # COUNT_TIME
      # 当每一批poll()的数据被消费者监听器（ListenerConsumer）处理之后, 手动调用Acknowledgment.acknowledge()后提交
      # MANUAL
      # 手动调用Acknowledgment.acknowledge()后立即提交，一般使用这种
      # MANUAL_IMMEDIATE
      ack-mode: manual_immediate

启动ZK、kafka通讯的服务器broker，并启动消费者监听

启动方式参考上一篇文章，戳这里~

启动SpringbootApplication.java

出现下图界面则说明工程创建好了：

二、创建kafka生产者类，并通过控制器调用

kafka生产者类

/**
 * kafka生产者【实际上就是一个Controller，用来进行消息生产】
 */
@RestController
public class KafkaProducer {
    
    
    private final static String TOPIC_NAME = "zhTest"; //topic的名称

    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;

    @RequestMapping("/send")
    public void send() {
    
    
        //发送功能就一行代码~
        kafkaTemplate.send(TOPIC_NAME,  "key", "test message send~");
    }
}

三、创建kafka消费者类，并通过@KafkaListener注解消费消息

kafka消费者类

/**
 * kafka消费者
 */
@Component
public class KafkaConsumer {
    
    

    //kafka的监听器，topic为"zhTest"，消费者组为"zhTestGroup"
    @KafkaListener(topics = "zhTest", groupId = "zhTestGroup")
    public void listenZhugeGroup(ConsumerRecord<String, String> record, Acknowledgment ack) {
    
    
        String value = record.value();
        System.out.println(value);
        System.out.println(record);
        //手动提交offset
        ack.acknowledge();
    }

    /*//配置多个消费组
    @KafkaListener(topics = "zhTest",groupId = "zhTestGroup2")
    public void listenTulingGroup(ConsumerRecord<String, String> record, Acknowledgment ack) {
        String value = record.value();
        System.out.println(value);
        System.out.println(record);
        ack.acknowledge();
    }*/
}

启动服务并调用

转自：https://www.cnblogs.com/riches/p/11720068.html