Kafka3.1部署和Topic主题数据生产与消费

文章目录

• 前言
• 一、Kafka3.1X版本在Windows11主机部署
• 二、Kafk生产Topic主题数据
• • 1.kafka生产数据
  • [2.JAVA kafka客户端消费数据](#2.JAVA kafka客户端消费数据)
• 总结

---

前言

本章节主要讲述Kafka3.1X版本在Windows11主机下部署以及JAVA对Kafka应用：

一、Kafka3.1X版本在Windows11主机部署

1.安装JDK配置环境变量

2.Zookeeper（zookeeper-3.7.1）
zk

部署后的目录位置：D:\setup\apache-zookeeper-3.7.1

3.安装Kafka3.1X

3.1 下载包（kafka_2.12-3.1.2.tgz）
Kafka

3.2、 解压并进入Kafka目录：

根目录：D:\setup\kafka3.1.2

3、 编辑config/server.properties文件

注意 log.dirs=D:\setup\kafka3.1.2\logs 为根目录下的\logs

listeners=PLAINTEXT://0.0.0.0:9092
advertised.listeners=PLAINTEXT://localhost:9092
log.dirs=D:\\setup\\kafka3.1.2\\logs

4.运行Zookeeper

Zookeeper安装目录D:\setup\apache-zookeeper-3.7.1\bin，按下Shift+右键，选择"打开命令窗口"选项，打开命令行

  .\zkServer.cmd;

5.运行Kafka

Kafka安装目录D:\setup\kafka3.1.2，按下Shift+右键，选择"打开命令窗口"选项，打开命令行

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

二、Kafk生产Topic主题数据

1.kafka生产数据

创建Topic主题heima

.\bin\windows\kafka-topics.bat --bootstrap-server localhost:9092 --create --topic heima --partitions 2 --replication-factor 1
Created topic heima.

查看Topic主题heima

.\bin\windows\kafka-topics.bat --describe --bootstrap-server localhost:9092  --topic heima

Topic主题heima生产数据

.\bin\windows\kafka-console-producer.bat --broker-list localhost:9092 --topic heima

在 > 符号后输入数据：

{"mobilePhone":"186xxxx1234","roleCode":"super_admin_xxx"}

2.JAVA kafka客户端消费数据

2.1 pom.xml文件配置kafka客户端-kafka-clients-2.0.1版本

        <!-- kafka客户端 -->
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>2.0.1</version>
        </dependency>

2.2 JAVA数据读取文件

package com.ems.mgr.web.controller.thirdparty;
import com.alibaba.fastjson.JSONObject;
import com.ems.mgr.common.utils.spring.SpringUtils;
import com.ems.mgr.system.service.ISysUserService;
import org.apache.commons.lang3.StringUtils;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.time.Duration;
import java.util.Collections;
import java.util.Properties;

/**
 * Kafka服务器操作与数据读取
 */
public class KafkaUtilDemo {
    public static final Logger log = LoggerFactory.getLogger(KafkaUtilDemo.class);
    public static final Properties props = new Properties();
//    protected ISysUserService userService = SpringUtils.getBean(ISysUserService.class);

    public static void init(String kafakservers) {
        // 配置Kafka消费者属性
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, kafakservers);
        props.put(ConsumerConfig.GROUP_ID_CONFIG, "test-group");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
    }

    /**
     * 持续监听并处理kafa消息，当手机号mobilePhone非空时进入数据同步操作
     * @param kafaktopic
     * @return
     */
    public static String poll(String kafaktopic) {
        String msg = "";
        try {
            KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
            consumer.subscribe(Collections.singletonList(kafaktopic));
            log.info("Kafka消费者订阅指定主题,持续监听并处理消息");
            while (true) {
                ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(60000));
                for (ConsumerRecord<String, String> record : records) {
                    log.info("offset = " + record.offset() + ",key = " + record.key() + ",value = " + record.value());
                    msg = record.value();
                    if (!StringUtils.isBlank(record.value())) {
                        JSONObject jsonObject = JSONObject.parseObject(record.value());
                        String mobilePhone = jsonObject.getString("mobilePhone");
                        if (StringUtils.isBlank(mobilePhone)) {
                            log.error("Kafka消费者手机号mobilePhone为空");
                        } else {
                            KafkaUtilDemo kafkaUtil = new KafkaUtilDemo();
                            kafkaUtil.syncSystemInfoTask(jsonObject);
                        }
                    }
                }
            }
        } catch (Exception e) {
            log.error("Kafka消费者订阅指定主题,持续监听并处理消息 error msg=" + e.getMessage());
        }
        return msg;
    }

    public boolean syncSystemInfoTask(JSONObject jsonObject) {
        boolean repsBln = true;
        try {
            String mobilePhone = jsonObject.getString("mobilePhone");
            String roleType = jsonObject.getString("roleType");
            String roleCode = jsonObject.getString("roleCode");
            log.info("业务数据同步操作................");
        } catch (Exception e) {
            repsBln = false;
            log.error("Kafka消费者同步入库异常,error msg=" + e.getMessage());
        }
        return repsBln;
    }

    public static void main(String[] args) {
        try {
            String kafakservers = "localhost:9092";
            String kafaktopic = "heima";
            init(kafakservers);
            poll(kafaktopic);
        } catch (Exception e) {
            log.error("error msg=" + e.getMessage());
        }
    }

}

3 执行KafkaUtilDemo 文件，查看消费数据。

总结

pom.xml文件在引入spring-kafka 会由于版本问题出现

org.apache.kafka

kafka-clients

2.0.1

    <dependency>
        <groupId>org.springframework.kafka</groupId>
        <artifactId>spring-kafka</artifactId>
        <version>2.2.8.RELEASE</version>
    </dependency>