大数据-56 Kafka SpringBoot与Kafka 基础简单配置和使用

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章节内容

上节我们完成了：

• topics.sh、producer.sh、consumer.sh 脚本的基本使用
• pom.xml 配置
• JavaAPI的使用：producer 和 consumer

架构图

上节已经出现过了，这里再放一次

POM

<?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>org.example</groupId>
    <artifactId>springboot-kafka</artifactId>
    <version>1.0-SNAPSHOT</version>

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.2.2.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>

    <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </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>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>

</project>

配置文件

我们常见的配置文件如下图：

spring:
  kafka:
    bootstrap-servers: localhost:9092
    consumer:
      group-id: my-group
      auto-offset-reset: earliest
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
    template:
      default-topic: my-topic

Producer

编写代码

编写了一个KafkaProducerController
里边写了两个方法，都是使用了 KafkaTemplate 的工具。

@RestController
public class KafkaProducerController {

    @Resource
    private KafkaTemplate<Integer, String> kafkaTemplate;

    @RequestMapping("/sendSync/{message}")
    public String sendSync(@PathVariable String message) {
        ProducerRecord<Integer, String> record = new ProducerRecord<>("wzk_topic_test", 0, 1, message);
        ListenableFuture<SendResult<Integer, String>> future = kafkaTemplate.send(record);
        try {
            SendResult<Integer, String> result = future.get();
            System.out.println(result.getProducerRecord().key() + "->" +
                    result.getProducerRecord().partition() + "->" +
                    result.getProducerRecord().timestamp());
        } catch (Exception e) {
            e.printStackTrace();
        }
        return "Success";
    }

    @RequestMapping("/sendAsync/{message}")
    public String sendAsync(@PathVariable String message) {
        ProducerRecord<Integer, String> record = new ProducerRecord<>("wzk_topic_test", 0, 2, message);
        ListenableFuture<SendResult<Integer, String>> future = kafkaTemplate.send(record);
        future.addCallback(new ListenableFutureCallback<SendResult<Integer, String>>() {
            @Override
            public void onFailure(Throwable ex) {
                System.out.println("发送失败！");
                ex.printStackTrace();
            }

            @Override
            public void onSuccess(SendResult<Integer, String> result) {
                System.out.println("发送成功");
                System.out.println(result.getProducerRecord().key() + "->" +
                        result.getProducerRecord().partition() + "->" +
                        result.getProducerRecord().timestamp());
            }
        });
        return "Success";
    }

}

测试结果

http://localhost:8085/sendSync/wzktest1
http://localhost:8085/sendAsync/wzktest2
http://localhost:8085/sendAsync/wzktest222222

我们观察控制台的效果如下：

Consumer

编写代码

编一个类来实现Consumer：

@Configuration
public class KafkaConsumer {

    @KafkaListener(topics = {"wzk_topic_test"})
    public void consume(ConsumerRecord<Integer, String> consumerRecord) {
        System.out.println(
                consumerRecord.topic() + "\t"
                        + consumerRecord.partition() + "\t"
                        + consumerRecord.offset() + "\t"
                        + consumerRecord.key() + "\t"
                        + consumerRecord.value());
    }

}

测试运行

2024-07-12 13:48:46.831  INFO 15352 --- [ntainer#0-0-C-1] o.a.k.c.c.internals.ConsumerCoordinator  : [Consumer clientId=consumer-1, groupId=wzk-test] Setting offset for partition wzk_topic_test-0 to the committed offset FetchPosition{offset=13, offsetEpoch=Optional[0], currentLeader=LeaderAndEpoch{leader=h121.wzk.icu:9092 (id: 0 rack: null), epoch=0}}
2024-07-12 13:48:46.926  INFO 15352 --- [ntainer#0-0-C-1] o.s.k.l.KafkaMessageListenerContainer    : wzk-test: partitions assigned: [wzk_topic_test-0]
wzk_topic_test	0	13	1	wzktest
wzk_topic_test	0	14	2	wzktest222
wzk_topic_test	0	15	2	wzktest222222

控制台的截图如下：