1 安装java环境
yum search java
yum install java-1.8.0
2 安装zookeeper
mkdir /app/
cd /app/
wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.0/apache-zookeeper-3.7.0-bin.tar.gz
wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.0/apache-zookeeper-3.7.0-bin.tar.gz
上面的下载不了用下面的
tar -zxf apache-zookeeper-3.7.0-bin.tar.gz 解压
3 更改配置文件
cd /conf
cp zoo.sample.cfg zoo.cfg 复制配置文件
vim zoo.cfg 修改
# The number of milliseconds of each tick tickTime=2000 # The number of ticks that the initial # synchronization phase can take initLimit=10 # The number of ticks that can pass between # sending a request and getting an acknowledgement syncLimit=5 # the directory where the snapshot is stored. # do not use /tmp for storage, /tmp here is just # example sakes. dataDir=/app/apache-zookeeper-3.7.0-bin/data dataLog=/app/apache-zookeeper-3.7.0-bin/log # the port at which the clients will connect clientPort=2181 # the maximum number of client connections. # increase this if you need to handle more clients #maxClientCnxns=60 # # Be sure to read the maintenance section of the # administrator guide before turning on autopurge. # # http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance # # The number of snapshots to retain in dataDir #autopurge.snapRetainCount=3 # Purge task interval in hours # Set to "0" to disable auto purge feature #autopurge.purgeInterval=1 ## Metrics Providers # # https://prometheus.io Metrics Exporter #metricsProvider.className=org.apache.zookeeper.metrics.prometheus.PrometheusMetricsProvider #metricsProvider.httpPort=7000 #metricsProvider.exportJvmInfo=true server.1=ch201:2888:3888 server.2=ch202:2888:3888 server.3=ch203:2888:3888
4 修改hosts
192.168.211.100 ch201
192.168.211.188 ch202
192.168.211.186 ch203
5 修改myid，每台机器不同
mkdir -p /app/apache-zookeeper-3.7.0-bin/data
mkdir -p /app/apache-zookeeper-3.7.0-bin/log
cd /app/apache-zookeeper-3.7.0-bin/data
vim myid 只写一个数字字符
以上三台机器修改为1，2，3
6 全部启动zookeeper
到bin下面 ./zkServer.sh start
然后./zkServer.sh status 查看状态
安装clickhouse，参考另一篇教程
vim /etc/clickhouse-server/config.xml
:: /etc/clickhouse-server/config.d/metrika.xml
vim /etc/clickhouse-server/config.d/metrika.xml
true ch201 9000 true ch202 9000 true ch203 9000 ch201 2181 ch202 2181 ch203 2181 01 01 ch201 ::/0 10000000000 0.01 lz4
修改配置文件
以上三台机器同样配置，macro改掉
同样执行sudo clickhouse start.启动集群
看到服务启动后登录clickhouse查看
clickhouse-client直接登录
select * from system.clusters查看集群状态
安装kafka
cd /app
wget Apache Downloads
wget https://archive.apache.org/dist/kafka/2.8.1/kafka_2.13-2.8.1.tgz 版本不同，皆可用
tar -zxf kafka_2.13-2.8.1.tgz解压
cd /config/
vim server.properties
broker.id=1 这个值为myid的值，每天机器唯一
listeners=PLAINTEXT://192.168.211.100:9092 本机ip，kafka的地址
zookeeper.connect=192.168.211.100:2181,192.168.211.186:2181,192.168.211.188:2181 集群三台机器的ip
cd /bin
./kafka-server-start.sh /app/kafka_2.13-2.8.1/config/server.properties
如果报错日志问题，将日志目录删除重新启动即可
nohup ./kafka-server-start.sh /apps/kafka_2.13-2.8.1/config/server.properties >>/tmp/kafka-logs/kafka.log 2>&1 & 后台启动，可查看/tmp下面的日志
