Kafka学习笔记:Kafka开发环境搭建(Java)

本文记录了在Java环境中搭建Kafka开发环境的步骤,包括创建Maven工程,配置pom.xml文件,并编写测试代码。同时,通过kafka-console-consumer.sh脚本展示了数据的消费过程,验证了数据生产与消费的正确性。

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Kafka开发环境搭建(Java)

新建maven工程,然后这是用到的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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>kafkaDevEnv</groupId>
    <artifactId>kafkaDevEnv</artifactId>
    <version>1.0-SNAPSHOT</version>
    <packaging>jar</packaging>

    <name>kafka.api</name>
    <url>http://maven.apache.org</url>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <dependencies>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>3.8.1</version>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.11</artifactId>
            <version>1.1.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-streams</artifactId>
            <version>1.1.0</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/com.typesafe.scala-logging/scala-logging -->
        <dependency>
            <groupId>com.typesafe.scala-logging</groupId>
            <artifactId>scala-logging_2.11</artifactId>
            <version>3.1.0</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.scala-lang/scala-library -->
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>2.11.8</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.scala-lang.modules/scala-parser-combinators -->
        <dependency>
            <groupId>org.scala-lang.modules</groupId>
            <artifactId>scala-parser-combinators_2.11</artifactId>
            <version>1.0.4</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-databind</artifactId>
            <version>2.4.2</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/net.sf.jopt-simple/jopt-simple -->
        <dependency>
            <groupId>net.sf.jopt-simple</groupId>
            <artifactId>jopt-simple</artifactId>
            <version>3.2</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.scala-lang/scala-reflect -->
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-reflect</artifactId>
            <version>2.11.8</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.xerial.snappy/snappy-java -->
        <dependency>
            <groupId>org.xerial.snappy</groupId>
            <artifactId>snappy-java</artifactId>
            <version>1.1.7</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.apache.zookeeper/zookeeper -->
        <dependency>
            <groupId>org.apache.zookeeper</groupId>
            <artifactId>zookeeper</artifactId>
            <version>3.4.6</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/com.101tec/zkclient -->
        <dependency>
            <groupId>com.101tec</groupId>
            <artifactId>zkclient</artifactId>
            <version>0.3</version>
        </dependency>


    </dependencies>

</project>

然后写一个测试的代码
 

import java.util.Properties;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;

public class KafkaDemoAPI {
    private final String TOPIC = "testAPI";
    // 设置kafka属性
    private Properties props = new Properties();

    public KafkaDemoAPI() {

    }

    public void run() {
        //指定序列化方式
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");

        //生产者 指定bootstrapServers
        props.put("bootstrap.servers", "Hadoop01:9092");

        //初始化KafkaProducer,通过创建对象向KafkaProducer传kafka属性
        KafkaProducer<Integer, String> producer = new KafkaProducer<Integer, String>(props);

        //生产数据,并在控制台上打印
        int messageNo = 51;
        while (messageNo < 101) {
            String messageStr = new String("producerMessage_" + messageNo);
            
            //send方法 异步传输数据到topic
            producer.send(new ProducerRecord<Integer, String>(TOPIC, messageStr));
            System.out.println(messageStr);
            messageNo++;
        }
        producer.close();
    }

    public static void main(String[] args) {
        new KafkaDemoAPI().run();
    }
}

然后通过kafka-console-consumer.sh消费数据

可以看到生产的数据确实如代码里写的一样

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