Kafka入门实例

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摘要:本文主要讲了Kafka的一个简单入门实例

源码下载：https://github.com/appleappleapple/BigDataLearning

kafka安装过程看这里：Kafka在Windows安装运行

整个工程目录如下：

1、pom文件

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<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>0.9.0.0</version>
</dependency>
<dependency>
<groupId>org.opentsdb</groupId>
<artifactId>java-client</artifactId>
<version>2.1.0-SNAPSHOT</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
<exclusion>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
</exclusion>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>jcl-over-slf4j</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.4</version>
</dependency>
</dependencies>
</project>

2、生产者

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package com.lin.demo.producer;
import java.util.Properties;
import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
public class KafkaProducer {
private final Producer<String, String> producer;
public final static String TOPIC = "linlin";
private KafkaProducer() {
Properties props = new Properties();
// 此处配置的是kafka的端口
props.put("metadata.broker.list", "127.0.0.1:9092");
props.put("zk.connect", "127.0.0.1:2181");
// 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();
}
}

右键：run as Java application

运行结果：

3、消费者

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package com.lin.demo.consumer;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
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;
import com.lin.demo.producer.KafkaProducer;
public class KafkaConsumer {
private final ConsumerConnector consumer;
private KafkaConsumer() {
Properties props = new Properties();
// zookeeper 配置
props.put("zookeeper.connect", "127.0.0.1:2181");
// group 代表一个消费组
props.put("group.id", "lingroup");
// 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：

监控页面

源码下载：https://github.com/appleappleapple/BigDataLearning

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