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_2.11-0.10.0.12.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
(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: