玩转Kafka—Spring&Go整合Kafka-CFANZ编程社区

玩转Kafka—Spring整合Kafka

1 新建Spring Boot项目，增加依赖

<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.projectlombok</groupId>
        <artifactId>lombok</artifactId>
        <version>1.18.20</version>
    </dependency>
    <dependency>
        <groupId>com.alibaba</groupId>
        <artifactId>fastjson</artifactId>
        <version>1.2.76</version>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-test</artifactId>
        <scope>test</scope>
    </dependency>
    <dependency>
        <groupId>org.springframework.kafka</groupId>
        <artifactId>spring-kafka-test</artifactId>
        <scope>test</scope>
    </dependency>
</dependencies>

2 项目结构

玩转Kafka—Spring&Go整合Kafka_消息队列

3 代码

3.1 配置文件和Kafka服务器所需配置

application.properties

server.port=8080
#制定kafka代理地址
spring.kafka.bootstrap-servers=8.131.57.161:9092
#消息发送失败重试次数
spring.kafka.producer.retries=0
#每次批量发送消息的数量
spring.kafka.producer.batch-size=16384
#每次批量发送消息的缓冲区大小
spring.kafka.producer.buffer-memory=335554432
# 指定消息key和消息体的编解码方式
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer

# 指定默认消费者group id
spring.kafka.consumer.group-id=user-log-group
spring.kafka.consumer.bootstrap-servers=8.131.57.161:9092
spring.kafka.consumer.auto-offset-reset=earliest
spring.kafka.consumer.enable-auto-commit=true
spring.kafka.consumer.auto-commit-interval=100

# 指定消息key和消息体的编解码方式
spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer
spring.kafka.consumer.value-deserializer=org.apache.kafka.common.serialization.StringDeserializer

Kafka服务器所需配置，server.properties文件

# 33行左右 0.0.0.0代表允许外部端口连接
listeners=PLAINTEXT://0.0.0.0:9092  
# 36行左右 ip代表外部代理地址
advertised.listeners=PLAINTEXT://8.131.57.161:9092

3.2 生产者和实体类代码

Student.java

/**
 * @desc: 实体类
 * @author: YanMingXin
 * @create: 2021/11/20-12:43
 **/
@Data
@Accessors(chain = true)
@NoArgsConstructor
@AllArgsConstructor
public class Student implements Serializable {

    private String id;

    private String name;

    private String context;

}

StudentService.java

/**
 * @desc: 接口
 * @author: YanMingXin
 * @create: 2021/11/20-12:43
 **/
public interface StudentService {
    void stuSayHello(Student student);
}

StudentServiceImpl.java

/**
 * @desc: 接口实现类
 * @author: YanMingXin
 * @create: 2021/11/20-12:43
 **/
@Service
public class StudentServiceImpl implements StudentService {

    @Autowired
    private KafkaTemplate kafkaTemplate;

    /**
     * topic
     */
    private static final String STU_TOPIC = "stu.sayHello";

    @Override
    public void stuSayHello(Student student) {
        Student stu = new Student("1", "zs", "Hello Ls.");
        kafkaTemplate.send(STU_TOPIC, JSON.toJSONString(stu));
    }
}

3.3 消费者代码

MyKafkaListener.java

/**
 * @desc: 消费者监听
 * @author: YanMingXin
 * @create: 2021/11/20-12:44
 **/
@Component
public class MyKafkaListener {

    /**
     * topic
     */
    private static final String STU_TOPIC = "stu.sayHello";

    @KafkaListener(topics = {STU_TOPIC})
    public void stuTopicConsumer(ConsumerRecord consumerRecord) {
        Optional kafkaMsg = Optional.ofNullable(consumerRecord.value());
        if (kafkaMsg.isPresent()) {
            Object msg = kafkaMsg.get();
            System.err.println(msg);
        }
    }
}

3.4 测试

@SpringBootTest
class SpKafkaApplicationTests {

    @Autowired
    private StudentService studentService;

    @Test
    void contextLoads() throws Exception{
        for (int i = 0; i < 900000; i++) {
            studentService.stuSayHello(new Student());
        }
    }
}

玩转Kafka—Golang整合Kafka

几个常见的Go整合Kafka客户端工具:我们本次使用的是Shopify

Shopify：https://github.com/Shopify/sarama
Big Data Open Source Security：https://github.com/stealthly/go_kafka_client
OptioPay：https://github.com/optiopay/kafka
https://github.com/nuance/kafka
https://github.com/jdamick/kafka.go
Confluent：https://github.com/confluentinc/confluent-kafka-go
Docs: http://docs.confluent.io/current/clients/index.html
Travis Bischel: https://pkg.go.dev/github.com/twmb/kafka-go/pkg/kgo

ps：配置go get代理（类似于Maven配置阿里云镜像）教程：

https://goproxy.io/zh/docs/getting-started.html

1 新建go modules

玩转Kafka—Spring&Go整合Kafka_消息队列_02

2 项目结构

玩转Kafka—Spring&Go整合Kafka_kafka_03

3 生产者代码

KakaProducer.go

package main

import (
   "fmt"
   "github.com/Shopify/sarama"
   "time"
)

//消息生产者
func main() {
   //获取配置类
   config := sarama.NewConfig() //配置类实例（指针类型）
   config.Producer.RequiredAcks = sarama.WaitForAll //代理需要的确认可靠性级别(默认为WaitForLocal)
   config.Producer.Partitioner = sarama.NewRandomPartitioner  //生成用于选择要发送消息的分区的分区(默认为散列消息键)。
   config.Producer.Return.Successes = true //如果启用，成功传递的消息将在成功通道(默认禁用)。
   //获取客户端对象
   client, err := sarama.NewSyncProducer([]string{"8.131.57.161:9092"}, config)
   if err != nil {
      //获取客户端失败
      fmt.Println("producer close, err:", err)
      return
   }
   //延迟执行，类似于栈，等到其他代码都执行完毕后再执行
   defer client.Close()
   //一直循环
   for {
      //获取Message对象
      msg := &sarama.ProducerMessage{}
      //设置topic
      msg.Topic = "go_kafka"
      //设置Message值
      msg.Value = sarama.StringEncoder("this is a good test, my message is good")
      //发送消息，返回pid、片偏移
      pid, offset, err := client.SendMessage(msg)
      //发送失败
      if err != nil {
         fmt.Println("send message failed,", err)
         return
      }
      //打印返回结果
      fmt.Printf("pid:%v offset:%v\n", pid, offset)
      //线程休眠下
      time.Sleep(10 * time.Second)
   }
}

4 消费者代码

KafkaConsumer.go

package main

import (
    "fmt"
    "github.com/Shopify/sarama"
    "strings"
    "sync"
    "time"
)

var (
    wg sync.WaitGroup //同步等待组
    //在类型上，它是一个结构体。一个WaitGroup的用途是等待一个goroutine的集合执行完成。
    //主goroutine调用了Add()方法来设置要等待的goroutine的数量。
    //然后，每个goroutine都会执行并且执行完成后调用Done()这个方法。
    //与此同时，可以使用Wait()方法来阻塞，直到所有的goroutine都执行完成。
)

func main() {
    //获取消费者对象 可以设置多个IP地址和端口号，使用逗号进行分割
    consumer, err := sarama.NewConsumer(strings.Split("8.131.57.161:9092", ","), nil)
    //获取失败
    if err != nil {
        fmt.Println("Failed to start consumer: %s", err)
        return
    }
    //对该topic进行监听
    partitionList, err := consumer.Partitions("go_kafka")
    if err != nil {
        fmt.Println("Failed to get the list of partitions: ", err)
        return
    }
    //打印分区
    fmt.Println(partitionList)
    //获取分区和片偏移
    for partition := range partitionList {
        pc, err := consumer.ConsumePartition("go_kafka", int32(partition), sarama.OffsetNewest)
        if err != nil {
            fmt.Printf("Failed to start consumer for partition %d: %s\n", partition, err)
            return
        }
        //延迟执行
        defer pc.AsyncClose()
        //启动多线程
        go func(pc sarama.PartitionConsumer) {
            wg.Add(1)
            //获得message的信息
            for msg := range pc.Messages() {
                fmt.Printf("Partition:%d, Offset:%d, Key:%s, Value:%s", msg.Partition, msg.Offset, string(msg.Key), string(msg.Value))
                fmt.Println()
            }
            wg.Done()
        }(pc)
    }
    //线程休眠
    time.Sleep(10 * time.Second)
    wg.Wait()
    consumer.Close()
}

5 测试

玩转Kafka—Spring&Go整合Kafka_kafka_04

玩转Kafka—Spring&Go整合Kafka_go_05

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