在IDEA中建立maven项目

pom.xml配置文件如下

<?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>edu.long</groupId>
    <artifactId>BigData_Kafka_Dome</artifactId>
    <version>1.0-SNAPSHOT</version>


    <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>2.4.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-slf4j-impl</artifactId>
            <version>2.12.0</version>
        </dependency>
    </dependencies>


</project>

在遇到红色字体的情况，右击

 创建这个文件

 配置文件

<?xml version="1.0" encoding="UTF-8"?>
<Configuration status="error" strict="true" name="XMLConfig">
    <Appenders>
        <!-- 类型名为Console，名称为必须属性 -->
        <Appender type="Console" name="STDOUT">
            <!-- 布局为PatternLayout的方式，
            输出样式为[INFO] [2018-01-22 17:34:01][org.test.Console]I'm here -->
            <Layout type="PatternLayout"
                    pattern="[%p] [%d{yyyy-MM-dd HH:mm:ss}][%c{10}]%m%n" />
        </Appender>

    </Appenders>

    <Loggers>
        <!-- 可加性为false -->
        <Logger name="test" level="info" additivity="false">
            <AppenderRef ref="STDOUT" />
        </Logger>

        <!-- root loggerConfig设置 -->
        <Root level="info">
            <AppenderRef ref="STDOUT" />
        </Root>
    </Loggers>

</Configuration>

创建包文件

创建生产者 代码如下

package edu.hao.producer;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.StringSerializer;

import java.util.Properties;

public class KafkaProducerDemo {

    public static void main(String[] args) throws Exception{
        Properties props = new Properties();//
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG,
                "192.168.74.139:9092");
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG,
                StringSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG,
                StringSerializer.class);//固定格式

        //创建生产者,producer,声明变量
        KafkaProducer<String,String> producer=
                new KafkaProducer<String, String>(props);

        producer.send(new ProducerRecord<String,String>("hao","0823"));
        producer.close();
    }



}

 消费者消费情况，01没有消费

图解

利用多线程进行不同的分组测试（可能理解有偏差，不要介意，有异议可提出修改）

        for (int i = 1;i < 600;i++){
            producer.send(new ProducerRecord<String,String>("hao",String.valueOf(i)));
        }

 

（二）带回调的函数API

        for (int i = 1;i < 10;i++){
            //producer.send(new ProducerRecord<String,String>("hao",String.valueOf(i)));
            //会触发ack
            producer.send(new ProducerRecord<String, String>("hao", String.valueOf(i)), new Callback() {
                @Override
                public void onCompletion(RecordMetadata metadata, Exception e) {
                    if (e != null){
                        System.out.println(e.getMessage());
                    }else{
                        System.out.println(metadata.partition());
                    }

                }
            });

 0代表0号分区

因为上一章有三个分区

出现错误暂时没有解决 

（三、自定义分区器）

package edu.hao.producer;


import org.apache.kafka.clients.producer.Partitioner;
import org.apache.kafka.common.Cluster;

import java.util.Map;

public class EvenPartitioner implements Partitioner {
    @Override
    public int partition(String s, Object o, byte[] bytes,
                         Object o1, byte[] bytes1, Cluster cluster) {
        int num =Integer.parseInt(o1.toString());
        return num %2 ==0?0:1;
    }

    @Override
    public void close() {

    }

    @Override
    public void configure(Map<String, ?> map) {

    }
}

 原来代码修改一下

注释一下原来的

package edu.hao.producer;

import edu.hao.partltloner.EvenPartitioner;
import org.apache.kafka.clients.producer.*;
import org.apache.kafka.common.serialization.StringSerializer;

import java.util.Properties;

public class KafkaProducerDemo {

    public static void main(String[] args) throws Exception{
        Properties props = new Properties();//
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG,
                "192.168.74.139:9092");
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG,
                StringSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG,
                StringSerializer.class);//固定格式
        props.put(ProducerConfig.PARTITIONER_CLASS_CONFIG,EvenPartitioner.class);

        //创建生产者,producer,声明变量
        KafkaProducer<String,String> producer=
                new KafkaProducer<String, String>(props);

        for (int i = 1;i < 10;i++){
            producer.send(new ProducerRecord<String,String>("song",String.valueOf(i)));
            //会触发ack
//            producer.send(new ProducerRecord<String, String>("hao", String.valueOf(i)), new Callback() {
//                @Override
//                public void onCompletion(RecordMetadata metadata, Exception e) {
//                    if (e != null){
//                        System.out.println(e.getMessage());
//                    }else{
//                        System.out.println(metadata.partition());
//                    }
//
//                }
//            });


        }

        producer.close();
    }



}

就可以把1—10奇偶分离 

仅供个人参考