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kafka消息中间件及java示例

kafka是一个消息中间件,用于各个系统之间传递消息,并且消息可持久化!

可以认为是队列模型,也可以看作是生产者消费着模型;

简单的生产者消费者客户端代码如下:

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package com.pt.util.kafka;import java.util.Date;import java.util.Properties;import kafka.javaapi.producer.Producer;import kafka.producer.KeyedMessage;import kafka.producer.ProducerConfig;public class MyProducer {    public static void sendMsg(String msg) {        Properties props = new Properties();        //brokers list        props.put("metadata.broker.list", "192.168.91.231:9092,192.168.91.231:9093");        /* *         * the serializer when preparing the message for transmission to the Broker         * Note that the encoder must accept the same type          * as defined in the KeyedMessage object in the next step.          *          */        props.put("serializer.class", "kafka.serializer.StringEncoder");        /* *         * defines what class to use to determine          * which Partition in the Topic the message is to be sent to         */        props.put("partitioner.class", "example.producer.SimplePartitioner");        /* *         *  tells Kafka that you want your Producer to require an          *  acknowledgement from the Broker that the message was received         */        props.put("request.required.acks", "1");        ProducerConfig config = new ProducerConfig(props);        /*         * Note that the Producer is a Java Generic and you need to tell it the type of two parameters.         * The first is the type of the Partition key, the second the type of the message.         */        Producer<String, String> producer = new Producer<String, String>(config);        long runtime = new Date().getTime();        String ip = "192.168.91.231";        /*         * The “panteng” is the Topic to write to.          * Here we are passing the IP as the partition key.         * Note that if you do not include a key,          * even if you‘ve defined a partitioner class, Kafka will assign the message to a random partition.         */        KeyedMessage<String, String> data = http://www.mamicode.com/new KeyedMessage<String, String>(                "panteng", ip, msg);        producer.send(data);        producer.close();    }}
Producer,java
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package cn.outofmemory.kafka;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;import kafka.serializer.StringDecoder;import kafka.utils.VerifiableProperties;public class KafkaConsumer {    private final ConsumerConnector consumer;    public KafkaConsumer() {        Properties props = new Properties();        //zookeeper 配置        props.put("zookeeper.connect", "192.168.91.231:2181");        //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", "4000");        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);    }    public void consume() {        Map<String, Integer> topicCountMap = new HashMap<String, Integer>();        topicCountMap.put("panteng", 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("panteng").get(0);        ConsumerIterator<String, String> it = stream.iterator();        while (it.hasNext())            System.out.println(it.next().message());    }        public void stop(){        try {            consumer.shutdown();        } catch (Exception e) {            // TODO: handle exception            e.printStackTrace();        }            }    public static void main(String[] args) {        new KafkaConsumer().consume();    }}
Consumer.java

 

kafka消息中间件及java示例