kafka生产者和消费者的javaAPI demo

写了个kafka的java demo 顺便记录下，仅供参考

• 1.创建maven项目

目录如下：

• 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>4.0.0modelVersion>
    <groupId>Kafka-MavengroupId>
    <artifactId>Kafka-MavenartifactId>
    <version>0.0.1-SNAPSHOTversion>
    <dependencies>
        <dependency>
            <groupId>org.apache.kafkagroupId>
            <artifactId>kafka_2.11artifactId>
            <version>0.10.1.1version>
        dependency>
        <dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-commonartifactId>
            <version>2.2.0version>
        dependency>
        <dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-hdfsartifactId>
            <version>2.2.0version>
        dependency>
        <dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-clientartifactId>
            <version>2.2.0version>
        dependency>
        <dependency>
            <groupId>org.apache.hbasegroupId>
            <artifactId>hbase-clientartifactId>
            <version>1.0.3version>
        dependency>
        <dependency>
            <groupId>org.apache.hbasegroupId>
            <artifactId>hbase-serverartifactId>
            <version>1.0.3version>
        dependency>
        <dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-hdfsartifactId>
            <version>2.2.0version>
        dependency>
        <dependency>
            <groupId>jdk.toolsgroupId>
            <artifactId>jdk.toolsartifactId>
            <version>1.7version>
            <scope>systemscope>
            <systemPath>${JAVA_HOME}/lib/tools.jarsystemPath>
        dependency>
        <dependency>
            <groupId>org.apache.httpcomponentsgroupId>
            <artifactId>httpclientartifactId>
            <version>4.3.6version>
        dependency>
    dependencies>
    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.pluginsgroupId>
                <artifactId>maven-compiler-pluginartifactId>
                <configuration>
                    <source>1.7source>
                    <target>1.7target>
                configuration>
            plugin>
        plugins>
    build>
project>

• 3.kafka生产者KafkaProduce:

package com.lijie.producer;

import java.io.File;
import java.io.FileInputStream;
import java.util.Properties;

import org.apache.kafka.clients.producer.Callback;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class KafkaProduce {
     
    private static Properties properties;

    static {
        properties = new Properties();
        String path = KafkaProducer.class.getResource("/").getFile().toString()
                + "kafka.properties";
        try {
            FileInputStream fis = new FileInputStream(new File(path));
            properties.load(fis);
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    /**
     * 发送消息
     * 
     * @param topic
     * @param key
     * @param value
     */
    public void sendMsg(String topic, byte[] key, byte[] value) {

        // 实例化produce
        KafkaProducer<byte[], byte[]> kp = new KafkaProducer<byte[], byte[]>(
                properties);

        // 消息封装
        ProducerRecord<byte[], byte[]> pr = new ProducerRecord<byte[], byte[]>(
                topic, key, value);

        // 发送数据
        kp.send(pr, new Callback() {
            // 回调函数
            @Override
            public void onCompletion(RecordMetadata metadata,
                    Exception exception) {
                if (null != exception) {
                    System.out.println("记录的offset在:" + metadata.offset());
                    System.out.println(exception.getMessage() + exception);
                }
            }
        });

        // 关闭produce
        kp.close();
    }
}

• 4.kafka消费者KafkaConsume：

package com.lijie.consumer;

import java.io.File;
import java.io.FileInputStream;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;

import org.apache.htrace.fasterxml.jackson.databind.ObjectMapper;

import com.lijie.pojo.User;
import com.lijie.utils.JsonUtils;

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;

public class KafkaConsume {

    private final static String TOPIC = "lijietest";

    private static Properties properties;

    static {
        properties = new Properties();
        String path = KafkaConsume.class.getResource("/").getFile().toString()
                + "kafka.properties";
        try {
            FileInputStream fis = new FileInputStream(new File(path));
            properties.load(fis);
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    /**
     * 获取消息
     * 
     * @throws Exception
     */
    public void getMsg() throws Exception {
        ConsumerConfig config = new ConsumerConfig(properties);

        ConsumerConnector consumer = kafka.consumer.Consumer
                .createJavaConsumerConnector(config);

        Map topicCountMap = new HashMap();

        topicCountMap.put(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(TOPIC).get(0);

        ConsumerIterator it = stream.iterator();

        while (it.hasNext()) {
            String json = it.next().message();
            User user = (User) JsonUtils.JsonToObj(json, User.class);
            System.out.println(user);
        }
    }
}

• 5.kafka.properties文件

##produce
bootstrap.servers=192.168.80.123:9092
producer.type=sync
request.required.acks=1
serializer.class=kafka.serializer.DefaultEncoder
key.serializer=org.apache.kafka.common.serialization.ByteArraySerializer
value.serializer=org.apache.kafka.common.serialization.ByteArraySerializer
bak.partitioner.class=kafka.producer.DefaultPartitioner
bak.key.serializer=org.apache.kafka.common.serialization.StringSerializer
bak.value.serializer=org.apache.kafka.common.serialization.StringSerializer

##consume
zookeeper.connect=192.168.80.123:2181  
group.id=lijiegroup  
zookeeper.session.timeout.ms=4000  
zookeeper.sync.time.ms=200  
auto.commit.interval.ms=1000  
auto.offset.reset=smallest  
serializer.class=kafka.serializer.StringEncoder