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<String, String> producer = new Producer<String, String>(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<String, String> data = new KeyedMessage<String, String>(                    "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<String, Integer> topicCountMap = new HashMap<String, Integer>();        topicCountMap.put(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(topic).get(0);        ConsumerIterator<String, String> 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

[ 转载请写明本文地址 ]