发布于 2015-12-20 21:54:33 | 255 次阅读 | 评论: 0 | 来源: PHPERZ

这里有新鲜出炉的精品教程，程序狗速度看过来！

Apache Kafka 开源消息系统

Apache Kafka是一个开源消息系统项目，由Scala写成。该项目的目标是为处理实时数据提供一个统一、高通量、低等待的平台。

---

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

1. 启动Zookeeper

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

2. 启动kafka

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

3. 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

4. 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 
   

5. 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<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", "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<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();
    }
}

pom.xml

<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.fengtang</groupId>
    <artifactId>kafkademo</artifactId>
    <version>1.0-SNAPSHOT</version>
    <packaging>jar</packaging>

    <name>kafkademo</name>
    <url>http://maven.apache.org</url>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.10</artifactId>
            <version>0.8.0</version>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.15</version>
            <exclusions>
                <exclusion>
                    <artifactId>jmxtools</artifactId>
                    <groupId>com.sun.jdmk</groupId>
                </exclusion>
                <exclusion>
                    <artifactId>jmxri</artifactId>
                    <groupId>com.sun.jmx</groupId>
                </exclusion>
                <exclusion>
                    <artifactId>jms</artifactId>
                    <groupId>javax.jms</groupId>
                </exclusion>
                <exclusion>
                    <artifactId>mail</artifactId>
                    <groupId>javax.mail</groupId>
                </exclusion>
            </exclusions>
        </dependency>
    </dependencies>
</project>

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