kafka java客户端代码示例

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目录[-]

  • 介绍
  • 测试环境
  • 代码示例
  • pom.xml文件
  • 介绍

         http://kafka.apache.org 
        kafka是一种高吞吐量的分布式发布订阅消息系统 
        kafka是linkedin用于日志处理的分布式消息队列,linkedin的日志数据容量大,但对可靠性要求不高,其日志数据主要包括用户行为(登录、浏览、点击、分享、喜欢)以及系统运行日志(CPU、内存、磁盘、网络、系统及进程状态) 

        当前很多的消息队列服务提供可靠交付保证,并默认是即时消费(不适合离线)。 

    高可靠交付对linkedin的日志不是必须的,故可通过降低可靠性来提高性能,同时通过构建分布式的集群,允许消息在系统中累积,使得kafka同时支持离线和在线日志处理

    测试环境

        kafka_2.10-0.8.1.1 3个节点做的集群

        zookeeper-3.4.5 一个实例节点

    代码示例

    消息生产者代码示例

    import
    java.util.Collections;
    import java.util.Date;
    import java.util.Properties;
    import java.util.Random;
     
    import kafka.javaapi.producer.Producer;
    import kafka.producer.KeyedMessage;
    import kafka.producer.ProducerConfig;
     
    /**
     * 详细可以参考:https://cwiki.apache.org/confluence/display/KAFKA/0.8.0+Producer+Example
     * @author Fung
     *
     */
    public class ProducerDemo {
        publicstatic void main(String[] args) {
            Random rnd =new Random();
            intevents=100;
     
            // 设置配置属性
            Properties props =new Properties();
            props.put("metadata.broker.list","172.168.63.221:9092,172.168.63.233:9092,172.168.63.234:9092");
            props.put("serializer.class","kafka.serializer.StringEncoder");
            // key.serializer.class默认为serializer.class
            props.put("key.serializer.class","kafka.serializer.StringEncoder");
            // 可选配置,如果不配置,则使用默认的partitioner
            props.put("partitioner.class","com.catt.kafka.demo.PartitionerDemo");
            // 触发acknowledgement机制,否则是fire and forget,可能会引起数据丢失
            // 值为0,1,-1,可以参考
            // http://kafka.apache.org/08/configuration.html
            props.put("request.required.acks","1");
            ProducerConfig config =new ProducerConfig(props);
     
            // 创建producer
            Producer<String, String> producer =new Producer<String, String>(config);
            // 产生并发送消息
            longstart=System.currentTimeMillis();
            for(long i = 0; i < events; i++) {
                longruntime = new Date().getTime();
                String ip ="192.168.2." + i;//rnd.nextInt(255);
                String msg = runtime +",www.example.com," + ip;
                //如果topic不存在,则会自动创建,默认replication-factor为1,partitions为0
                KeyedMessage<String, String> data =new KeyedMessage<String, String>(
                        "page_visits", ip, msg);
                producer.send(data);
            }
            System.out.println("耗时:"+ (System.currentTimeMillis() - start));
            // 关闭producer
            producer.close();
        }
    }

    消息消费者代码示例

    import java.util.HashMap;
    import java.util.List;
    import java.util.Map;
    import java.util.Properties;
    import java.util.concurrent.ExecutorService;
    import java.util.concurrent.Executors;
     
    import kafka.consumer.Consumer;
    import kafka.consumer.ConsumerConfig;
    import kafka.consumer.KafkaStream;
    import kafka.javaapi.consumer.ConsumerConnector;
     
    /**
     * 详细可以参考:https://cwiki.apache.org/confluence/display/KAFKA/Consumer+Group+Example
     *
     * @author Fung
     *
     */
    public class ConsumerDemo {
        privatefinal ConsumerConnector consumer;
        privatefinal String topic;
        privateExecutorService executor;
     
        publicConsumerDemo(String a_zookeeper, String a_groupId, String a_topic) {
            consumer = Consumer.createJavaConsumerConnector(createConsumerConfig(a_zookeeper,a_groupId));
            this.topic = a_topic;
        }
     
        publicvoid shutdown() {
            if(consumer != null)
                consumer.shutdown();
            if(executor != null)
                executor.shutdown();
        }
     
        publicvoid run(intnumThreads) {
            Map<String, Integer> topicCountMap =new HashMap<String, Integer>();
            topicCountMap.put(topic,new Integer(numThreads));
            Map<String, List<KafkaStream<byte[],byte[]>>> consumerMap = consumer
                    .createMessageStreams(topicCountMap);
            List<KafkaStream<byte[],byte[]>> streams = consumerMap.get(topic);
     
            // now launch all the threads
            executor = Executors.newFixedThreadPool(numThreads);
     
            // now create an object to consume the messages
            //
            intthreadNumber = 0;
            for(final KafkaStream stream : streams) {
                executor.submit(newConsumerMsgTask(stream, threadNumber));
                threadNumber++;
            }
        }
     
        privatestatic ConsumerConfig createConsumerConfig(String a_zookeeper,
                String a_groupId) {
            Properties props =new Properties();
            props.put("zookeeper.connect", a_zookeeper);
            props.put("group.id", a_groupId);
            props.put("zookeeper.session.timeout.ms","400");
            props.put("zookeeper.sync.time.ms","200");
            props.put("auto.commit.interval.ms","1000");
     
            returnnew ConsumerConfig(props);
        }
     
        publicstatic void main(String[] arg) {
            String[] args = {"172.168.63.221:2188","group-1", "page_visits", "12"};
            String zooKeeper = args[0];
            String groupId = args[1];
            String topic = args[2];
            intthreads = Integer.parseInt(args[3]);
     
            ConsumerDemo demo =new ConsumerDemo(zooKeeper, groupId, topic);
            demo.run(threads);
     
            try{
                Thread.sleep(10000);
            }catch (InterruptedException ie) {
     
            }
            demo.shutdown();
        }
    }

    消息处理类
    import kafka.consumer.ConsumerIterator;
    import kafka.consumer.KafkaStream;
     
    public class ConsumerMsgTask implementsRunnable {
        privateKafkaStream m_stream;
        privateint m_threadNumber;
     
        publicConsumerMsgTask(KafkaStream stream, intthreadNumber) {
            m_threadNumber = threadNumber;
            m_stream = stream;
        }
     
        publicvoid run() {
            ConsumerIterator<byte[],byte[]> it = m_stream.iterator();
            while(it.hasNext())
                System.out.println("Thread "+ m_threadNumber + ": "
                        +new String(it.next().message()));
            System.out.println("Shutting down Thread: "+ m_threadNumber);
        }
    }

    Partitioner类示例

    import kafka.producer.Partitioner;
    import kafka.utils.VerifiableProperties;
     
    public class PartitionerDemo implementsPartitioner {
        publicPartitionerDemo(VerifiableProperties props) {
     
        }
     
        @Override
        publicint partition(Object obj,int numPartitions) {
            intpartition = 0;
            if(obj instanceofString) {
                String key=(String)obj;
                intoffset = key.lastIndexOf('.');
                if(offset > 0) {
                    partition = Integer.parseInt(key.substring(offset +1)) % numPartitions;
                }
            }else{
                partition = obj.toString().length() % numPartitions;
            }
             
            returnpartition;
        }
     
    }

    pom.xml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>4.0.0</modelVersion>
     
        <groupId>com.xxx</groupId>
        <artifactId>kafka-demo</artifactId>
        <version>0.0.1-SNAPSHOT</version>
        <packaging>jar</packaging>
     
        <name>kafka-demo</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>0.8.1.1</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>
                </exclusions>
            </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>
            <dependency>
                <groupId>junit</groupId>
                <artifactId>junit</artifactId>
                <version>4.11</version>
                <scope>test</scope>
            </dependency>
        </dependencies>
    </project>

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