1、引入依赖

        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.12</artifactId>
            <version>2.1.0</version>
            <scope>provided</scope>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.apache.kafka/kafka-clients -->
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>2.1.1</version>
        </dependency>


        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-streams</artifactId>
            <version>1.0.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-lang3</artifactId>
            <version>3.12.0</version>
        </dependency>

2、生产者

import java.util.Properties;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.StringSerializer;


public class KafkaProducerTest implements Runnable {

    private final KafkaProducer<String, String> producer;
    private final String topic;
    private String clientid;
    public KafkaProducerTest(String topicName,String clientid) {
        Properties props = new Properties();
        props.put("bootstrap.servers", "10.1.11.212:32765,10.1.11.212:32766,10.1.11.212:32767");
        props.put("acks", "all");
        props.put("retries", 0);
        props.put("batch.size", 16384);
        props.put("key.serializer", StringSerializer.class.getName());
        props.put("value.serializer", StringSerializer.class.getName());
        this.producer = new KafkaProducer<String, String>(props);
        this.topic = topicName;
        this.clientid = clientid;
    }

    @Override
    public void run() {
        int messageNo = 1;
        try {
            for(;;) {
                String messageStr= "你好，这是第"+messageNo+"条数据 clientid=" + clientid;
                producer.send(new ProducerRecord<String, String>(topic, "Message", messageStr));
                //生产了100条就打印
                if(messageNo%100==0){
                    System.out.println("发送的信息:" + messageStr);
                }
                //生产1000条就退出
                if(messageNo == 1000){
                    System.out.println("成功发送了"+messageNo+"条");
                    break;
                }
                messageNo++;
            }
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            producer.close();
        }
    }

    public static void main(String args[]) {
        KafkaProducerTest test1 = new KafkaProducerTest("logstash-08-04", "clientid1");
        Thread thread1 = new Thread(test1);
        thread1.start();
    }
}

2、消费者

package com.example.demo;

import java.util.Arrays;
import java.util.Properties;
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;


public class KafkaConsumerTest implements Runnable {

    private final KafkaConsumer<String, String> consumer;
    private ConsumerRecords<String, String> msgList;
    private final String topic;
    private String clientid;
    private static final String GROUPID = "groupA";

    public KafkaConsumerTest(String topicName,String clientid) {

        Properties props = new Properties();
        props.put("bootstrap.servers", "10.1.11.212:32765,10.1.11.212:32766,10.1.11.212:32767");
        props.put("group.id", GROUPID);
        props.put("enable.auto.commit", "true");
        props.put("auto.commit.interval.ms", "1000");
        props.put("session.timeout.ms", "30000");
        props.put("auto.offset.reset", "earliest");
        props.put("key.deserializer", StringDeserializer.class.getName());
        props.put("value.deserializer", StringDeserializer.class.getName());
        this.consumer = new KafkaConsumer<String, String>(props);
        this.topic = topicName;
        this.consumer.subscribe(Arrays.asList(topic));
        this.clientid = clientid;
    }

    @Override
    public void run() {
        int messageNo = 1;
        System.out.println("---------开始消费---------");
        try {
            for (;;) {
                    msgList = consumer.poll(1000);
                    if(null!=msgList&&msgList.count()>0){
                    for (ConsumerRecord<String, String> record : msgList) {
                        //消费100条就打印 ,但打印的数据不一定是这个规律的
                        if(messageNo%100==0){
                            System.out.println(messageNo+"=======成功消费：receive: key = " + record.key() + ", value = " + record.value()+" offset==="+record.offset());
                        }
                        //当消费了1000条就退出
                        if(messageNo == 1000){
                            break;
                        }
                        messageNo++;
                    }
                }else{
                    Thread.sleep(1000);
                }
            }        
        } catch (InterruptedException e) {
            e.printStackTrace();
        } finally {
            consumer.close();
        }
    }

    public static void main(String args[]) {
        KafkaConsumerTest test1 = new KafkaConsumerTest("logstash-08-04", "clientid1");
        Thread thread1 = new Thread(test1);
        thread1.start();
    }
}

4、logback.xml（可选）

<logger name="org.apache.kafka.clients.consumer.ConsumerConfig" level="on" />