kafka_2.9.2-0.8.1.1安装、测试、集群

Kafka版本：kafka_2.9.2-0.8.1.1

官网：http://kafka.apache.org/
官方文档：http://kafka.apache.org/documentation.html#quickstart

一、安装

下载解压

[root@rs229 ~]# wget -c -P /root http://mirrors.cnnic.cn/apache/kafka/0.8.1.1/kafka_2.9.2-0.8.1.1.tgz

# tar xzf kafka_2.9.2-0.8.1.1.tgz
# cd kafka_2.9.2-0.8.1.1 

二、配置

# cd kafka_2.9.2-0.8.1.1

# cd config

主要是配置 server.properties  和 zookeeper.properties

[ 配置文件简单，大家根据文件里的注释配一下就好 ]

三、启动

启动自带的zookeeper，也可以不用

[root@rs229 kafka_2.9.2-0.8.1.1]#bin/zookeeper-server-start.sh config/zookeeper.properties &

启动kafka server，不使用自带的要注意修改zookeeper地址

[root@rs229 kafka_2.9.2-0.8.1.1]#bin/kafka-server-start.sh config/server.properties &

[ 意后台启动服务 ]

 

使用介绍：

创建topic
[root@rs229 kafka_2.9.2-0.8.1.1]# bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test &

列出topic
[root@rs229 kafka_2.9.2-0.8.1.1]# bin/kafka-topics.sh --list --zookeeper localhost:2181

test

producer
# Send some messages （发送一些消息）
输入一条信息（Thisis a message: The you smile until forever），并且Ctrl+z退出shell
[root@rs229 kafka_2.9.2-0.8.1.1]# bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test
This is a message: The you smile until forever

comsumer
# Start a consumer（开启一个消费者）
输入命令之后打印出一些信息，最后面显示了刚刚输入的信息：Thisis a message: The you smile until forever
[root@rs229 kafka_2.9.2-0.8.1.1]# bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning
This is a message: The you smile until forever

四、集群

多个brocker 整目录拷贝多份就可以了

cp config/server.properties config/server-1.properties
cp config/server.properties config/server-1.properties

新的配置

config/server-1.properties:
    broker.id=1
    port=9093
    log.dir=/tmp/kafka-logs-1

config/server-2.properties:
    broker.id=2
    port=9094
    log.dir=/tmp/kafka-logs-2

 

[ 注意：真正集群要设置host.name和advertised.host.name这两个属性 ]

启动

JMX_PORT=9997 bin/kafka-server-start.sh config/server-1.properties &
JMX_PORT=9998 bin/kafka-server-start.sh config/server-2.properties &
伪分布式集群启动要加：JMX_PORT=

五、java 客户端连接

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 {
    public static void main(String[] args) {
        Random rnd = new Random();
        int events=100;

        // 设置配置属性
        Properties props = new Properties();
        props.put("metadata.broker.list","ip1:9092,ip2:9092,ip3:9092");
        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 producer = new Producer(config);
        // 产生并发送消息
        long start=System.currentTimeMillis();
        for (long i = 0; i < events; i++) {
            long runtime = 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 data = new KeyedMessage(
                    "mytopic", "hello kafka");
            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 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 ConsumerDemo {
    private final ConsumerConnector consumer;
    private static  ConsumerDemo ConsumerDemo;
    private ConsumerDemo() {
        Properties props = new Properties();
        //zookeeper 配置
        props.put("zookeeper.connect", KafkaProperties.zkConnect);


        //group
        props.put("group.id", "jd-group");


        //zk连接超时
        props.put("zookeeper.session.timeout.ms", KafkaProperties.zkSessionTimeOut);
        props.put("zookeeper.sync.time.ms", KafkaProperties.zkSyncTime);
        props.put("auto.commit.interval.ms", KafkaProperties.autoCommitInterval);
        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 static ConsumerDemo getInstance(){
                if(ConsumerDemo == null){
		     ConsumerDemo = new ConsumerDemo();
                }
                  return ConsumerDemo;
   }
   public void consume(String topic) {
        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())
            System.out.println(it.next().message());
    }
 
    public static void main(String[] args) {
               ConsumerDemo.getInstance().consume("mytopic");
    }
}

详细java api使用见：

https://cwiki.apache.org/confluence/display/KAFKA/0.8.0+SimpleConsumer+Example

https://cwiki.apache.org/confluence/display/KAFKA/0.8.0+Producer+Example

https://cwiki.apache.org/confluence/display/KAFKA/Consumer+Group+Example

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