0002.Kafka Server的安装与Spring-Kafk

1.Win10下Kafka的安装

1.1.软件下载

http://kafka.apache.org/downloads
选择任意一个二进制文件

image.png
再选择任意一个镜像下载 image.png

1.2.下载成功后解压到本地文件夹C:\kafka_2.13-3.1.0下面
1.3.新建data和kafka-logs文件夹

image.png

1.4.修改service.properties里面log.dirs路径

注意目录分隔符必须是\

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1.5.修改zookeeper.properties里面dataDir路径

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2.启动Kafka

2.1.启动kafka内置的zookeeper

.\bin\windows\zookeeper-server-start.bat  .\config\zookeeper.properties

2.2.启动kafka服务

.\bin\windows\kafka-server-start.bat .\config\server.properties

2.3.生成Topic测试

.\bin\windows\kafka-topics.bat --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1 --topic test

成功画面 image.png

3.搭建Eclipse+Springboot+Maven工程

3.1.搭建Eclipse+Springboot+Maven工程

0000.Eclipse+Maven+SpringBoot+MongoDB搭建工程 - 简书 (jianshu.com)

3.2.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>study</groupId>
  <artifactId>kafka</artifactId>
  <version>0.0.1-SNAPSHOT</version>

  <name>kafka</name>
  <!-- FIXME change it to the project's website -->
  <url>http://www.example.com</url>

  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <maven.compiler.source>15</maven.compiler.source>
    <maven.compiler.target>15</maven.compiler.target>
  </properties>

  <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.3.9.RELEASE</version>
        <relativePath/>
  </parent>

  <dependencies>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <scope>test</scope>
    </dependency>
    <dependency>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-web</artifactId>
    </dependency>

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

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

    <dependency>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-cache</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.kafka</groupId>
        <artifactId>spring-kafka</artifactId>
        <exclusions>
            <exclusion>
                <groupId>org.apache.kafka</groupId>
                <artifactId>kafka-clients</artifactId>
            </exclusion>
        </exclusions>
    </dependency>
    <dependency>
        <groupId>org.apache.kafka</groupId>
        <artifactId>kafka-clients</artifactId>
    </dependency>
  </dependencies>

  <build>
    <pluginManagement><!-- lock down plugins versions to avoid using Maven defaults (may be moved to parent pom) -->
      <plugins>
        <!-- clean lifecycle, see https://maven.apache.org/ref/current/maven-core/lifecycles.html#clean_Lifecycle -->
        <plugin>
          <artifactId>maven-clean-plugin</artifactId>
          <version>3.1.0</version>
        </plugin>
        <!-- default lifecycle, jar packaging: see https://maven.apache.org/ref/current/maven-core/default-bindings.html#Plugin_bindings_for_jar_packaging -->
        <plugin>
          <artifactId>maven-resources-plugin</artifactId>
        </plugin>
        <plugin>
          <artifactId>maven-compiler-plugin</artifactId>
          <version>3.8.0</version>
        </plugin>
        <plugin>
          <artifactId>maven-surefire-plugin</artifactId>
          <version>2.22.1</version>
        </plugin>
        <plugin>
          <artifactId>maven-jar-plugin</artifactId>
          <version>3.0.2</version>
        </plugin>
        <plugin>
          <artifactId>maven-install-plugin</artifactId>
          <version>2.5.2</version>
        </plugin>
        <plugin>
          <artifactId>maven-deploy-plugin</artifactId>
          <version>2.8.2</version>
        </plugin>
        <!-- site lifecycle, see https://maven.apache.org/ref/current/maven-core/lifecycles.html#site_Lifecycle -->
        <plugin>
          <artifactId>maven-site-plugin</artifactId>
          <version>3.7.1</version>
        </plugin>
        <plugin>
          <artifactId>maven-project-info-reports-plugin</artifactId>
          <version>3.0.0</version>
        </plugin>
      </plugins>
    </pluginManagement>
  </build>
</project>

3.3.Helloworld程序
目录结构

image.png

KafkaConfiguration.java

package study.kafka.config;

import java.util.HashMap;
import java.util.Map;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.IntegerDeserializer;
import org.apache.kafka.common.serialization.IntegerSerializer;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.core.ConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.core.ProducerFactory;

@Configuration
@EnableKafka
public class KafkaConfiguration {

    //ConcurrentKafkaListenerContainerFactory为创建Kafka监听器的工程类，这里只配置了消费者
    @Bean
    public ConcurrentKafkaListenerContainerFactory<Integer, String> kafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        return factory;
    }

    //根据consumerProps填写的参数创建消费者工厂
    @Bean
    public ConsumerFactory<Integer, String> consumerFactory() {
        return new DefaultKafkaConsumerFactory<>(consumerProps());
    }

    //根据senderProps填写的参数创建生产者工厂
    @Bean
    public ProducerFactory<Integer, String> producerFactory() {
        return new DefaultKafkaProducerFactory<>(senderProps());
    }

    //kafkaTemplate实现了Kafka发送接收等功能
    @Bean
    public KafkaTemplate<Integer, String> kafkaTemplate() {
        KafkaTemplate template = new KafkaTemplate<Integer, String>(producerFactory());
        return template;
    }

    //消费者配置参数
    private Map<String, Object> consumerProps() {
        Map<String, Object> props = new HashMap<>();
        //连接地址
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        //GroupID
        props.put(ConsumerConfig.GROUP_ID_CONFIG, "bootKafka");
        //是否自动提交
        props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, true);
        //自动提交的频率
        props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "100");
        //Session超时设置
        props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "15000");
        //键的反序列化方式
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, IntegerDeserializer.class);
        //值的反序列化方式
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        return props;
    }

    //生产者配置
    private Map<String, Object> senderProps (){
        Map<String, Object> props = new HashMap<>();
        //连接地址
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        //重试，0为不启用重试机制
        props.put(ProducerConfig.RETRIES_CONFIG, 1);
        //控制批处理大小，单位为字节
        props.put(ProducerConfig.BATCH_SIZE_CONFIG, 16384);
        //批量发送，延迟为1毫秒，启用该功能能有效减少生产者发送消息次数，从而提高并发量
        props.put(ProducerConfig.LINGER_MS_CONFIG, 1);
        //生产者可以使用的总内存字节来缓冲等待发送到服务器的记录
        props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 1024000);
        //键的序列化方式
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, IntegerSerializer.class);
        //值的序列化方式
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        return props;
    }

}

DemoListener.java

package study.kafka.listen;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

@Component
public class DemoListener {

    private static final Logger log= LoggerFactory.getLogger(DemoListener.class);

    //声明consumerID为demo，监听topicName为topic.quick.demo的Topic
    @KafkaListener(id = "demo", topics = "topic.quick.demo")
    public void listen(String msgData) {
        log.info("demo receive : "+msgData);
    }
}

DemoTest.java

package study.kafka.test;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.test.context.junit4.SpringRunner;

@SpringBootTest
@RunWith(SpringRunner.class)
public class DemoTest {

    @Autowired
    private KafkaTemplate kafkaTemplate;

    @Test
    public void testDemo() throws InterruptedException {
        System.out.println("testDemo run");
        kafkaTemplate.send("topic.quick.demo", "this is my first demo");
        //休眠5秒，为了使监听器有足够的时间监听到topic的数据
        Thread.sleep(5000);
    }
}

App.java

package study.kafka;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

/**
 * Hello world!
 *
 */
@SpringBootApplication
public class App {
    public static void main(String[] args) {
        SpringApplication.run(App.class, args);
    }
}

application.yml.java

spring:
  kafka:
    bootstrap-servers: localhost:9092
    producer:
      # 发生错误后，消息重发的次数。
      retries: 0
      #当有多个消息需要被发送到同一个分区时，生产者会把它们放在同一个批次里。该参数指定了一个批次可以使用的内存大小，按照字节数计算。
      batch-size: 16384
      # 设置生产者内存缓冲区的大小。
      buffer-memory: 33554432
      # 键的序列化方式
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      # 值的序列化方式
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
      # acks=0 ： 生产者在成功写入消息之前不会等待任何来自服务器的响应。
      # acks=1 ： 只要集群的首领节点收到消息，生产者就会收到一个来自服务器成功响应。
      # acks=all ：只有当所有参与复制的节点全部收到消息时，生产者才会收到一个来自服务器的成功响应。
      acks: 1
    consumer:
      # 自动提交的时间间隔 在spring boot 2.X 版本中这里采用的是值的类型为Duration 需要符合特定的格式，如1S,1M,2H,5D
      auto-commit-interval: 1S
      # 该属性指定了消费者在读取一个没有偏移量的分区或者偏移量无效的情况下该作何处理：
      # latest（默认值）在偏移量无效的情况下，消费者将从最新的记录开始读取数据（在消费者启动之后生成的记录）
      # earliest ：在偏移量无效的情况下，消费者将从起始位置读取分区的记录
      auto-offset-reset: earliest
      # 是否自动提交偏移量，默认值是true,为了避免出现重复数据和数据丢失，可以把它设置为false,然后手动提交偏移量
      enable-auto-commit: false
      # 键的反序列化方式
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      # 值的反序列化方式
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
    listener:
      # 在侦听器容器中运行的线程数。
      concurrency: 5
      #listner负责ack，每调用一次，就立即commit
      ack-mode: manual_immediate
      missing-topics-fatal: false

3.4.启动程序
3.4.1.启动消费者

右键App.java----->Run As----->Java Application

3.4.2.启动生产者

右键DemoTest.java----->Run As----->JUnit Test

3.4.3.成功结果

Elcipse Console打出以下信息
【XXXX】 study.kafka.listen.DemoListener          : demo receive : this is my first demo

================================
注：在这个Hello World程序中application.yml实际上是没有被使用的，使用的配置信息是在KafkaConfiguration.java中直接通过代码写出来的，不过考虑后续会使用application.yml+KafkaConfiguration.java的方式，就先那么放着吧。