搭建kafka開發環境

時間 2021-08-15

標籤 java apache api 服務器 session maven ide 工具 this 欄目 Kafka 简体版

原文原文鏈接

篇文章中咱們搭建了kafka的服務器，並能夠使用Kafka的命令行工具建立topic，發送和接收消息。下面咱們來搭建kafka的開發環境。java

添加依賴
apache

搭建開發環境須要引入kafka的jar包，一種方式是將Kafka安裝包中lib下的jar包加入到項目的classpath中，這種比較簡單了。不過咱們使用另外一種更加流行的方式：使用maven管理jar包依賴。api

建立好maven項目後，在pom.xml中添加如下依賴：服務器

<dependency>
<groupId> org.apache.kafka</groupId >
<artifactId> kafka_2.10</artifactId >
<version> 0.8.0</ version>
</dependency>session

添加依賴後你會發現有兩個jar包的依賴找不到。不要緊我都幫你想好了，點擊這裏下載這兩個jar包，解壓後你有兩種選擇，第一種是使用mvn的install命令將jar包安裝到本地倉庫，另外一種是直接將解壓後的文件夾拷貝到mvn本地倉庫的com文件夾下，好比個人本地倉庫是d:\mvn,完成後個人目錄結構是這樣的：maven

配置程序
ide

首先是一個充當配置文件做用的接口,配置了Kafka的各類鏈接參數：工具

package com.sohu.kafkademon;ui

public interface KafkaProperties
{
final static String zkConnect = "10.22.10.139:2181";
final static String groupId = "group1";
final static String topic = "topic1";
final static String kafkaServerURL = "10.22.10.139";
final static int kafkaServerPort = 9092;
final static int kafkaProducerBufferSize = 64 * 1024;
final static int connectionTimeOut = 20000;
final static int reconnectInterval = 10000;
final static String topic2 = "topic2";
final static String topic3 = "topic3";
final static String clientId = "SimpleConsumerDemoClient";
}this

producer

package com.sohu.kafkademon;

import java.util.Properties;

import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;

/**
* @author leicui bourne_cui@163.com
*/
public class KafkaProducer extends Thread
{
private final kafka.javaapi.producer.Producer<Integer, String> producer;
private final String topic;
private final Properties props = new Properties();

public KafkaProducer(String topic)
{
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("metadata.broker.list", "10.22.10.139:9092");
producer = new kafka.javaapi.producer.Producer<Integer, String>(new ProducerConfig(props));
this.topic = topic;
}

@Override
public void run() {
int messageNo = 1;
while (true)
{
String messageStr = new String("Message_" + messageNo);
System.out.println("Send:" + messageStr);
producer.send(new KeyedMessage<Integer, String>(topic, messageStr));
messageNo++;
try {
sleep(3000);
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}

}

consumer

package com.sohu.kafkademon;

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;

/**
* @author leicui bourne_cui@163.com
*/
public class KafkaConsumer extends Thread
{
private final ConsumerConnector consumer;
private final String topic;

public KafkaConsumer(String topic)
{
consumer = kafka.consumer.Consumer.createJavaConsumerConnector(
createConsumerConfig());
this.topic = topic;
}

private static ConsumerConfig createConsumerConfig()
{
Properties props = new Properties();
props.put("zookeeper.connect", KafkaProperties.zkConnect);
props.put("group.id", KafkaProperties.groupId);
props.put("zookeeper.session.timeout.ms", "40000");
props.put("zookeeper.sync.time.ms", "200");
props.put("auto.commit.interval.ms", "1000");
return new ConsumerConfig(props);
}

@Override
public void run() {
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(topic, new Integer(1));
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);
KafkaStream<byte[], byte[]> stream = consumerMap.get(topic).get(0);
ConsumerIterator<byte[], byte[]> it = stream.iterator();
while (it.hasNext()) {
System.out.println("receive：" + new String(it.next().message()));
try {
sleep(3000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}

簡單的發送接收

運行下面這個程序，就能夠進行簡單的發送接收消息了：

package com.sohu.kafkademon;

/**
* @author leicui bourne_cui@163.com
*/
public class KafkaConsumerProducerDemo
{
public static void main(String[] args)
{
KafkaProducer producerThread = new KafkaProducer(KafkaProperties.topic);
producerThread.start();

KafkaConsumer consumerThread = new KafkaConsumer(KafkaProperties.topic);
consumerThread.start();
}
}

高級別的consumer

下面是比較負載的發送接收的程序：

package com.sohu.kafkademon;

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;

/**
* @author leicui bourne_cui@163.com
*/
public class KafkaConsumer extends Thread
{
private final ConsumerConnector consumer;
private final String topic;

public KafkaConsumer(String topic)
{
consumer = kafka.consumer.Consumer.createJavaConsumerConnector(
createConsumerConfig());
this.topic = topic;
}

@Override public void run() { Map<String, Integer> topicCountMap = new HashMap<String, Integer>(); topicCountMap.put(topic, new Integer(1)); Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap); KafkaStream<byte[], byte[]> stream = consumerMap.get(topic).get(0); ConsumerIterator<byte[], byte[]> it = stream.iterator(); while (it.hasNext()) { System.out.println("receive：" + new String(it.next().message())); try { sleep(3000); } catch (InterruptedException e) { e.printStackTrace(); } } }}