Kafka安装与使用

Kafka安装与使用

下载地址:https://www.apache.org/dyn/closer.cgi?path=/kafka/0.8.1.1/kafka_2.10-0.8.1.1.tgz

安装以及启动kafka

步骤1:安装kafka

$ tar -xzf kafka_2.10-0.8.1.1.tgz
$ cd kafka_2.10-0.8.1.1.tgz 

 

步骤2:配置server.properties

 配置zookeeper(假设您已经安装了zookeeper,如果没有安装,请再网上搜索安装方法)

进入kafka安装工程根目录编辑 

vim config/server.properties  

修改属性 zookeeper.connect=ip:2181,ip2: 2181

 

步骤3:server.properties配置说明

kafka最为重要三个配置依次为:broker.id、log.dir、zookeeper.connect

kafka server端config/server.properties参数说明和解释如下:

(参考配置说明地址:http://blog.csdn.net/lizhitao/article/details/25667831)

 

#实际使用案例 这里211上面的kafka 配置文件
broker.id=1
port=9092
host.name=192.168.1.211
num.network.threads=2
num.io.threads=8
socket.send.buffer.bytes=1048576
socket.receive.buffer.bytes=1048576
socket.request.max.bytes=104857600
log.dirs=/tmp/kafka-logs
num.partitions=2
log.retention.hours=168
log.segment.bytes=536870912
log.retention.check.interval.ms=60000
log.cleaner.enable=false
zookeeper.connect=192.168.1.213:2181,192.168.1.216:2181,192.168.1.217:2181
zookeeper.connection.timeout.ms=1000000
#kafka实际使用案例 210服务器kafka配置
broker.id=2
port=9092
host.name=192.168.1.210
num.network.threads=2
num.io.threads=8
socket.send.buffer.bytes=1048576
socket.receive.buffer.bytes=1048576
socket.request.max.bytes=104857600
log.dirs=/tmp/kafka-logs
num.partitions=2
log.retention.hours=168
log.segment.bytes=536870912
log.retention.check.interval.ms=60000
log.cleaner.enable=false
zookeeper.connect=192.168.1.213:2181,192.168.1.216:2181,192.168.1.217:2181
zookeeper.connection.timeout.ms=1000000

 

步骤4: 启动kafka

(先启动zookeeper $:  bin/zkServer.sh start config/zookeeper.properties &)

cd kafka-0.8.1

$ bin/kafka-server-start.sh -daemon config/server.properties &

 (实验时,需要启动至少两个broker   bin/kafka-server-start.sh -daemon config/server-1.properties &) 

步骤5:创建topic

$ bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test

步骤6:验证topic是否创建成功

$ bin/kafka-topics.sh --list --zookeeper localhost:2181

localhostzookeeper地址 

topic描述:

bin/kafka-topics.sh --describe --zookeeper 192.168.1.8:2181 --topic test

 

//启动报错Unrecognized VM option '+UseCompressedOops'
查看 bin/kafka-run-class.sh
找到
if [ -z "$KAFKA_JVM_PERFORMANCE_OPTS" ]; then
  KAFKA_JVM_PERFORMANCE_OPTS="-server  -XX:+UseCompressedOops -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:+CMSClassUnloadingEnabled -XX:+CMSScavengeBeforeRemark -XX:+DisableExplicitGC -Djava.awt.headless=true"
fi
去掉-XX:+UseCompressedOops

 

启动报错 Could not reserve enough space for object heap
原因及解决办法:
查看kafka-server-start.sh配置文件,发现有heap设置信息:KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"    更改这里的内存为256(因为测试机内存总共才1G ,所以报错)

 

 

 

步骤7:发送消息

发送一些消息验证,在console模式下,启动producer

$ bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test

(此处localhost改为本机ip,否则报错,I don’t  know why

 消息案例: 

{"price":"100000","userId":14615501351480021,"payType":3,"code":"AFD3B8","payTime":{"time":1457330791333,"minutes":6,"seconds":31,"hours":14,"month":2,"year":116,"timezoneOffset":-480,"day":1,"date":7},"orderId":12222096,"goodsName":"会员"} 

 

 步骤8:启动一个consumer

$ bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning

 


 


 


 


 

删除topic,慎用,只会删除zookeeper中的元数据,消息文件须手动删除

bin/kafka-run-class.sh kafka.admin.DeleteTopicCommand --topic test --zookeeper 192.168.197.170:2181 ,192.168.197.171:2181

    


 


 


 


 

配置kafka集群模式,需要由多个broker组成

 

和单机环境一样,只是需要修改下broker 的配置文件而已。

1、将单机版的kafka 目录复制到其他几台电脑上。

2、修改每台电脑上的kafka 目录下的server.properties 文件。

broker.id=1//这个参数在kafka 的broker 集群中必须唯一,且为正整数。

3、启动每台电脑上的kafka 即可。

 

本机配置伪分布式

 

首先为每个节点编写配置文件:
> cp config/server.properties config/server-1.properties
> cp config/server.properties config/server-2.properties

 

在拷贝出的新文件中添加以下参数:
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

 

现在启动另外两个节点:
> bin/kafka-server-start.sh config/server-1.properties &
...
> bin/kafka-server-start.sh config/server-2.properties &
...

 

创建一个拥有3个副本的topic:
> bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 3 --partitions 1 --topic my-replicated-topic

 

运行“"describe topics”命令知道每个节点的信息
> bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic my-replicated-topic
Topic:my-replicated-topic PartitionCount:1 ReplicationFactor:3 Configs:
Topic: my-replicated-topic Partition: 0 Leader: 1 Replicas: 1,2,0 Isr: 1,2,0
leader:负责处理消息的读和写,leader是从所有节点中随机选择的.
replicas:列出了所有的副本节点,不管节点是否在服务中.
isr:是正在服务中的节点.

 

  



搭建Kafka开发环境

1 在pom.xml中引入kafka依赖jar包
<!-- kafka配置 -->
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.9.2</artifactId>
<version>${kafka.version}</version>
<exclusions>
<!-- 实际应用中单独引入下面的jar包,不使用kafka带的 -->
<exclusion>
<artifactId>zookeeper</artifactId>
<groupId>org.apache.zookeeper</groupId>
</exclusion>
<exclusion>
<artifactId>zkclient</artifactId>
<groupId>com.101tec</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

 

2.属性文件 kafka.properties
#zookeeper.connect=192.168.1.8:2181,192.168.1.13:2181,192.168.1.16:2181
#zookeeper.connect=zkserver1.vko.cn:2181,zkserver2.vko.cn:2181,zkserver3.vko.cn:2181
zookeeper.connect=192.168.1.179:2181
metadata.broker.list=192.168.1.179:9092
#metadata.broker.list=kafka.server1.vko.cn:9092,kafka.server2.vko.cn:9092
 
#zookeeper.connect.timeout=15000
#zookeeper.session.timeout.ms=15000
#zookeeper.sync.time.ms=20000
#auto.commit.interval.ms=20000
#auto.offset.reset=smallest
#serializer.class=kafka.serializer.StringEncoder
#producer.type=async
#queue.buffering.max.ms=6000
 
group.id=llx
kafka.sellstat.topics=llx

 

在spring配置文件中引入此properties文件
<!-- 这个是加载给spring 用的.-->  
<bean id="propertyConfigurer" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">
<property name="locations">
<list>
<value>classpath:kafka.properties</value>
</list>
</property>
</bean>
<!-- 这个是用来在代码中注入用的.-->  
<bean id="configProperties" class="org.springframework.beans.factory.config.PropertiesFactoryBean">
<property name="locations">
<list>
<value>classpath:kafka.properties</value>
</list>
</property>
</bean>

 

 
3.定义收信人
<!-- 定义收信人 receiver -->
<bean id="testReceiver" class="cn.vko.index.Receiver">
 
<constructor-arg index="0" value="${zookeeper.connect}" />
 
<constructor-arg index="1" value="${group.id}" />
 
<constructor-arg index="2" value="${kafka.sellstat.topics}"/>
 
<constructor-arg index="3" ref="testConsumer" />
</bean>

 

4. spring中定义一个消息处理器(需要实现vkoConsumer)
<!-- 定义消息处理器 -->
<bean id="testConsumer" class="cn.vko.index.TestConsumer" ></bean>

 

5.消息生产者项目引入producer

<bean id="topProducer" class="top.lilixin.TopProducer">
         <constructor-arg index="0" value="kafka.server1:9092,kafka.server2:9092" />
    </bean>

 

 
6代码实现 见我的https://github.com/lilixin  learn-kafka项目
posted @ 2016-08-16 11:51  adwars  阅读(6957)  评论(0编辑  收藏  举报