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
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
localhost为zookeeper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
<!-- kafka配置 --> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.9.2</artifactId> <version>${kafka.version}</version> <exclusions> <!-- 实际应用中单独引入下面的jar包,不使用kafka带的 --> <exclusion> <artifactId>zookeeper</artifactId> <groupId>org.apache.zookeeper</groupId> </exclusion> <exclusion> <artifactId>zkclient</artifactId> <groupId>com.101tec</groupId> </exclusion> <exclusion> <artifactId>slf4j-api</artifactId> <groupId>org.slf4j</groupId> </exclusion> </exclusions> </dependency>
#zookeeper.connect=192.168.1.8:2181,192.168.1.13:2181,192.168.1.16:2181
#zookeeper.connect=zkserver1.vko.cn:2181,zkserver2.vko.cn:2181,zkserver3.vko.cn:2181
zookeeper.connect=192.168.1.179:2181
metadata.broker.list=192.168.1.179:9092
#metadata.broker.list=kafka.server1.vko.cn:9092,kafka.server2.vko.cn:9092
#zookeeper.connect.timeout=15000
#zookeeper.session.timeout.ms=15000
#zookeeper.sync.time.ms=20000
#auto.commit.interval.ms=20000
#auto.offset.reset=smallest
#serializer.class=kafka.serializer.StringEncoder
#producer.type=async
#queue.buffering.max.ms=6000
group.id=llx
kafka.sellstat.topics=llx
<!-- 这个是加载给spring 用的.--> <bean id="propertyConfigurer" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer"> <property name="locations"> <list> <value>classpath:kafka.properties</value> </list> </property> </bean> <!-- 这个是用来在代码中注入用的.--> <bean id="configProperties" class="org.springframework.beans.factory.config.PropertiesFactoryBean"> <property name="locations"> <list> <value>classpath:kafka.properties</value> </list> </property> </bean>
<!-- 定义收信人 receiver --> <bean id="testReceiver" class="cn.vko.index.Receiver"> <constructor-arg index="0" value="${zookeeper.connect}" /> <constructor-arg index="1" value="${group.id}" /> <constructor-arg index="2" value="${kafka.sellstat.topics}"/> <constructor-arg index="3" ref="testConsumer" /> </bean>
<!-- 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>