Kafka在Windows安装运行及入门实例（JAVA）_kafka安装 windows 示例程序 java

一、安装JDK以及zooeleeper这里省略

二、安装与运行Kafka

下载

http://kafka.apache.org/downloads.html

下载后解压到任意一个目录，笔者的是D:\Java\Tool\kafka_2.11-0.10.0.1

1. 进入Kafka配置目录，D:\Java\Tool\kafka_2.11-0.10.0.1
2. 编辑文件“server.properties”
3. 找到并编辑log.dirs=D:\Java\Tool\kafka_2.11-0.10.0.1\kafka-log,这里的目录自己修改成自己喜欢的
4. 找到并编辑zookeeper.connect=localhost:2181。表示本地运行
5. Kafka会按照默认，在9092端口上运行，并连接zookeeper的默认端口：2181。

运行：

重要：请确保在启动Kafka服务器前，Zookeeper实例已经准备好并开始运行。

1.进入Kafka安装目录D:\Java\Tool\kafka_2.11-0.10.0.1
2.按下Shift+右键，选择“打开命令窗口”选项，打开命令行。
3.现在输入

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

并回车。

三、测试

上面的Zookeeper和kafka一直打开

（1）、创建主题

1.进入Kafka安装目录D:\Java\Tool\kafka_2.11-0.10.0.1
2.按下Shift+右键，选择“打开命令窗口”选项，打开命令行。
3.现在输入

.\bin\windows\kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic linlin  

注意不要关了这个窗口！

（2）创建生产者

1.进入Kafka安装目录D:\Java\Tool\kafka_2.11-0.10.0.1
2.按下Shift+右键，选择“打开命令窗口”选项，打开命令行。
3.现在输入

.\binwindows\kafka-console-producer.bat --broker-list localhost:9092 --topic linlin

注意不要关了这个窗口！

（3）创建消费者

1.进入Kafka安装目录D:\Java\Tool\kafka_2.11-0.10.0.1
2.按下Shift+右键，选择“打开命令窗口”选项，打开命令行。
3.现在输入

.\bin\windows\kafka-console-consumer.bat --zookeeper localhost:2181 --topic linlin

注意不要关了这个窗口！

然后在第2个窗口中输入内容，最后记得回车

四、Kafka入门实例

1.整个工程目录如下：

2.pom文件

<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>com.lin</groupId>
	<artifactId>Kafka-Demo</artifactId>
	<version>0.0.1-SNAPSHOT</version>
 
	<dependencies>
		<dependency>
			<groupId>org.apache.kafka</groupId>
			<artifactId>kafka_2.10</artifactId>
			<version>0.8.2.0</version>
		</dependency>
 
		<dependency>
			<groupId>com.101tec</groupId>
			<artifactId>zkclient</artifactId>
			<version>0.10</version>
		</dependency>
 
		<dependency>
			<groupId>com.alibaba</groupId>
			<artifactId>fastjson</artifactId>
			<version>1.2.4</version>
		</dependency>
 
	</dependencies>
</project>

3.生产者 KafkaProducer

package com.lin.demo.producer;
 
import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
import java.util.Properties;
 
public class KafkaProducer {
    private final Producer<String, String> producer;
    public final static String TOPIC = "TEST-TOPIC";
 
    private KafkaProducer() {
        Properties props = new Properties();
        //此处配置的是kafka的端口
        props.put("metadata.broker.list", "localhost:9092");
 
        //配置value的序列化类
        props.put("serializer.class", "kafka.serializer.StringEncoder");
        //配置key的序列化类
        props.put("key.serializer.class", "kafka.serializer.StringEncoder");
 
        props.put("request.required.acks", "-1");
 
        producer = new Producer<String, String>(new ProducerConfig(props));
    }
 
    void produce() {
        int messageNo = 1000;
        final int COUNT = 10000;
 
        while (messageNo < COUNT) {
            String key = String.valueOf(messageNo);
            String data = "hello kafka message " + key;
            producer.send(new KeyedMessage<String, String>(TOPIC, key, data));
            System.out.println(data);
            messageNo++;
        }
    }
 
    public static void main(String[] args) {
        new KafkaProducer().produce();
    }
}

运行，结果：

4.消费者 KafkaConsumer

package com.lin.demo.consumer;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import com.lin.demo.producer.KafkaProducer;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import kafka.serializer.StringDecoder;
import kafka.utils.VerifiableProperties;
/**
 * Created by yz.shi on 2018/4/11.
 */
public class KafkaConsumer {
    private final ConsumerConnector consumer;
 
    private KafkaConsumer() {
        Properties props = new Properties();
        //zookeeper 配置
        props.put("zookeeper.connect", "localhost:2181");
 
        //group 代表一个消费组
        props.put("group.id", "jwd-group");
 
        //zk连接超时
        props.put("zookeeper.session.timeout.ms", "4000");
        props.put("zookeeper.sync.time.ms", "200");
        props.put("rebalance.max.retries", "5");
        props.put("rebalance.backoff.ms", "1200");
        props.put("auto.commit.interval.ms", "1000");
        props.put("auto.offset.reset", "smallest");
        //序列化类
        props.put("serializer.class", "kafka.serializer.StringEncoder");
 
        ConsumerConfig config = new ConsumerConfig(props);
 
        consumer = kafka.consumer.Consumer.createJavaConsumerConnector(config);
    }
 
    void consume() {
        Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
        topicCountMap.put(KafkaProducer.TOPIC, new Integer(1));
 
        StringDecoder keyDecoder = new StringDecoder(new VerifiableProperties());
        StringDecoder valueDecoder = new StringDecoder(new VerifiableProperties());
 
        Map<String, List<KafkaStream<String, String>>> consumerMap =
                consumer.createMessageStreams(topicCountMap,keyDecoder,valueDecoder);
        KafkaStream<String, String> stream = consumerMap.get(KafkaProducer.TOPIC).get(0);
        ConsumerIterator<String, String> it = stream.iterator();
        while (it.hasNext())
            System.out.println("<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<" + it.next().message() + "<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<");
    }
 
    public static void main(String[] args) {
        new KafkaConsumer().consume();
    }
}

运行结果：