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搭建 kafka 运行环境

J4ck_Chan / 448人阅读

摘要:准备环境系统下载并解压启动启动启动创建我修改了默认的端口查看创建的查看的详细信息测试运行并在控制台中输一些消息测试注意需要开两个终端搭建开发环境生产者

准备环境

系统

CentOS release 6.6 (Final)

下载并解压

wget http://mirror.bit.edu.cn/apache/kafka/0.8.0/kafka_2.10-0.8.0.tgz
tar -zxvf kafka_2.10-0.8.0.tgz`

启动

启动Zookeeper

bin/zookeeper-server-start.sh config/zookeeper.properties &

启动kafka

bin/kafka-server-start.sh config/server.properties &

创建topic
我修改了默认的端口

bin/kafka-topics.sh --create --zookeeper localhost:2182 --replication-factor 1 --partitions 1 --topic testweixuan &

查看创建的topic

bin/kafka-topics.sh --list --zookeeper localhost:2182

查看topic的详细信息

bin/kafka-topics.sh --describe --zookeeper localhost:2182

测试producer
运行producer并在控制台中输一些消息:

bin/kafka-console-producer.sh --broker-list 192.168.1.116:2182:9092 --topic testweixuan 

测试consumer

bin/kafka-console-consumer.sh --zookeeper 192.168.1.116:2182 --topic testweixuan --from-beginning

注意:需要开两个终端

搭建开发环境 生产者代码
package com.fengtang;

import java.util.Properties;

import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;

/**
 * Create by fengtang
 * 2015/10/8 0008
 * KafkaDemo_01
 */
public class KafkaProducer {
    private final Producer 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", "192.168.1.116:9092");

        /**
         *  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<>(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<>(TOPIC, key, data));
            System.out.println(data);
            messageNo++;
        }
    }

    public static void main(String[] args) {
        new KafkaProducer().produce();
    }
}
消费者代码
package com.fengtang;

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 java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;

/**
 * Create by fengtang
 * 2015/10/8 0008
 * KafkaDemo_01
 */
public class KafkaConsumer {
    private final ConsumerConnector consumer;
    private KafkaConsumer() {
        Properties props = new Properties();
        /**
         * zookeeper 配置
         */
        props.put("zookeeper.connect", "192.168.1.116:2182");

        /**
         * group 代表一个消费组
         */
        props.put("group.id", "jd-group");

        /**
         * zk连接超时
         */
        props.put("zookeeper.session.timeout.ms", "400000");
        props.put("zookeeper.sync.time.ms", "200");
        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 topicCountMap = new HashMap();
        topicCountMap.put(KafkaProducer.TOPIC, new Integer(1));
        StringDecoder keyDecoder = new StringDecoder(new VerifiableProperties());
        StringDecoder valueDecoder = new StringDecoder(new VerifiableProperties());
        Map>> consumerMap = 
                consumer.createMessageStreams(topicCountMap, keyDecoder, valueDecoder);
        KafkaStream stream = consumerMap.get(KafkaProducer.TOPIC).get(0);
        ConsumerIterator it = stream.iterator();
        while (it.hasNext())
            System.out.println(it.next().message());
    }

    public static void main(String[] args) {
        new KafkaConsumer().consume();
    }
}

pom.xml


    4.0.0

    com.fengtang
    kafkademo
    1.0-SNAPSHOT
    jar

    kafkademo
    http://maven.apache.org

    
        UTF-8
    

    
        
            org.apache.kafka
            kafka_2.10
            0.8.0
        
        
            log4j
            log4j
            1.2.15
            
                
                    jmxtools
                    com.sun.jdmk
                
                
                    jmxri
                    com.sun.jmx
                
                
                    jms
                    javax.jms
                
                
                    mail
                    javax.mail
                
            
        
    
解决报错
kafka.common.FailedToSendMessageException: Failed to send messages after 3 tries.

需要改动config文件夹下的server.properties中的以下两个属性

zookeeper.connect=localhost:2181改成zookeeper.connect=192.168.1.116 (自己的服务器IP地址):2181

以及默认注释掉的 #host.name=localhost 改成 host.name=192.168.1.116 (自己的服务器IP地址)

成功截图

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