Hbase高可用集群搭建手册

kujirashark 04-20 1420

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HBASE集群部署手册

author: lizhonglin

blog:

1.集群规划

集群总共5个节点, 一个主节点,一个备份主节点,单个从节点.

2.前置准备2.1 安装软件清单

软件

软件包名称

JDK

jdk-8u211-linux-x64.tar.gz

Hadoop

hadoop-3.1.4.tar.gz

Hbase

hbase-2.2.6-bin.tar.gz

zookeeper

apache-zookeeper-3.7.0-bin.tar.gz

opentsdb

opentsdb2.4.0.zip

docker

docker.rar

nginx

nginx.tar.gz

这是部署集群的软件清单

3.基础环境部署3.1 关闭防火墙

systemctl stop firewalldsystemctl disable firewalldsystemctl status firewalld

3.2 修改主机hostname

修改/etc/sysconfig/network文件将原有的HOSTNAME=localhost.localdomain改成HOSTNAME=master1, 对应其他主机也做同样对应的修改.

/etc/hostname

主机ip

hostname

192.168.21.104

master1

192.168.21.105

master2

192.168.21.106

slave1

192.168.21.107

slave2

192.168.21.108

slave3

3.3 添加主机hosts

编辑文件/etc/hosts 添加如下内容

192.168.21.104 master1192.168.21.105 master2192.168.21.106 slave1192.168.21.107 slave2192.168.21.108 slave3

3.3节点之间免密登录3.3.1 配置互免密码登录

修改配置文件 /etc/ssh/sshd_config 文件.修改如下配置:

RSAAuthentication yesPubkeyAuthentication yes# 允许root通过 SSH 登录看，如果禁止root远程登录，那就设置为 noPermitRootLogin yes

3.3.2 生成秘钥

原理:

首先在 serverA 上生成一对秘钥（ssh-keygen）,将公钥拷贝到 serverB，重命名 authorized_keys,serverA 向 serverB 发送一个连接请求，信息包括用户名、ip,serverB 接到请求，会从 authorized_keys 中查找，是否有相同的用户名、ip，如果有 serverB 会随机生成一个字符串,然后使用使用公钥进行加密，再发送个 serverA,serverA 接到 serverB 发来的信息后，会使用私钥进行解密，然后将解密后的字符串发送给 serverB,serverB 接到 serverA 发来的信息后，会给先前生成的字符串进行比对，如果一直，则允许免密登录

分别在master1、master2、slave1、slave2、slave3执行创建秘钥命令

ssh-keygen -t rsa

直接回车

就会在/root/.ssh目录下生成rsa文件.

在master1上面执行如下命令,执行完毕后.所有主RSA公钥都存在/root/.ssh/authorized_keys文件中:

下面的命令一行一行的执行每执行一行需要输入yes回车然后在输入服务器的密码

cat ~/.ssh/id_rsa.pub>> ~/.ssh/authorized_keysssh root@master2 cat ~/.ssh/id_rsa.pub>> ~/.ssh/authorized_keysssh root@slave1 cat ~/.ssh/id_rsa.pub>> ~/.ssh/authorized_keysssh root@slave2 cat ~/.ssh/id_rsa.pub>> ~/.ssh/authorized_keysssh root@slave3 cat ~/.ssh/id_rsa.pub>> ~/.ssh/authorized_keys

3.3.3 其他节点上面执行

分别在master2、slave1、slave2、slave3中执行

ssh root@master1 cat ~/.ssh/authorized_keys>> ~/.ssh/authorized_keys

将master1上的authorized_keys文件复制过来.

执行完效果如下

这样各个主机之间就可以相互免密码登录了.

3.4 服务器时间同步

设置时区

sudo timedatectl set-timezone Asia/Shanghai

使用centos8自带的时间同步工具chrony,检查是否存在chrony. systemctl status chronyd

服务端配置编辑配置文件/etc/chrony.conf，首先可以看到有个pool的配置如下：pool 2.centos.pool.ntp.org iburst

allow 192.168.21.1/24客户端配置编辑配置文件/etc/chrony.confpool 192.168.21.1 iburst

客户端和服务端

systemctl start chronydsystemctl enable chronydsystemctl status chronyd

查看当前的同步源

chronyc sources -v

查看当前的同步状态

chronyc sourcestats -v

手动同步时间

chronyc -a makestep

4.集群搭建4.1创建基础目录

mkdir -p /home/workmkdir -p /home/hbasemkdir -p /home/javajdk

4.2 JDK安装4.2.1 配置环境

编辑 /etc/profile

#JAVA_HOMEexport JAVA_HOME=/home/javajdk/jdk1.8.0_211export PATH=$PATH:$JAVA_HOME/bin

4.2.2 解压文件

# OpenJDK11U-jdk_x64_linux_hotspot_11.0.10_9.tar.gztar -zxvf jdk-11.0.5_linux-x64_bin.tar.gz  -C  /home/javajdk （例如：/opt/software）tar -zxvf  jdk-8u211-linux-x64.tar.gz -C  /home/javajdk

4.2.3 使配置生效

source /etc/profile

其他机器使用同样的操作步骤

4.2.4 拷贝到其他机器

scp  -r /home/javajdk/jdk1.8.0_211 root@master2:/home/javajdkscp  -r /home/javajdk/jdk1.8.0_211 root@slave1:/home/javajdkscp  -r /home/javajdk/jdk1.8.0_211 root@slave2:/home/javajdkscp  -r /home/javajdk/jdk1.8.0_211 root@slave3:/home/javajdk

4.3 安装zookeeper集群4.3.1 解决软件

解压apache-zookeeper-3.7.0.tar.gz 安装包

tar -zvxf apache-zookeeper-3.7.0-bin.tar.gz -C /home/work

4.3.2 修改配置文件

配置文件路径/home/work/apache-zookeeper-3.7.0/conf/ ,创建文件 zoo.cfg

# The number of milliseconds of each ticktickTime=2000# The number of ticks that the initial # synchronization phase can takeinitLimit=10# The number of ticks that can pass between # sending a request and getting an acknowledgementsyncLimit=5# the directory where the snapshot is stored.# do not use /tmp for storage, /tmp here is just # example sakes.dataDir=/home/work/zkdata# the port at which the clients will connectclientPort=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.##  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##  Metrics Exporter#metricsProvider.className=org.apache.zookeeper.metrics.prometheus.PrometheusMetricsProvider#metricsProvider.httpPort=7000#metricsProvider.exportJvmInfo=trueserver.1=master1:2888:3888server.2=master2:2888:3888server.3=slave1:2888:3888server.4=slave2:2888:3888server.5=slave3:2888:3888

4.3.3 分发文件和配置

scp  -r /home/work/apache-zookeeper-3.7.0-bin root@master2:/home/workscp  -r /home/work/apache-zookeeper-3.7.0-bin root@slave1:/home/workscp  -r /home/work/apache-zookeeper-3.7.0-bin root@slave2:/home/workscp  -r /home/work/apache-zookeeper-3.7.0-bin root@slave3:/home/work

4.4.4 创建zookeeper集群数据文件夹

在每个节点(master1、master2 、slave1、 slave2、slave3)中创建目录

mkdir -p /home/work/zkdata

并在改目录下面创建文件myid,文件的内容分别是

4.3.5 启动zookeeper集群

在`master1、master2、slave1、slave2、slave3上依次执行启动zookeeper的命令

/home/work/apache-zookeeper-3.7.0-bin/bin/zkServer.sh start

4.3.6 查看状态

/home/work/apache-zookeeper-3.7.0-bin/bin/zkServer.sh status

4.4 hadoop集群安装4.4.1 解压文件

tar -zxvf hadoop-3.1.4.tar.gz -C /home/hbase

4.4.2 配置hadoop

/home/hbase/hadoop-3.1.4/etc/hadoop/hadoop-env.sh

export JAVA_HOME=/home/javajdk/jdk1.8.0_211

打开/home/hbase/hadoop-3.1.4/etc/hadoop/yarn-env.sh文件，在YARN_CONF_DIR的配置下面加入以下内容

export JAVA_HOME=/home/javajdk/jdk1.8.0_211

打开/home/hbase/hadoop-3.1.4/etc/hadoop/core-site.xml 文件,修改配置

<configuration> <property>   <name>fs.defaultFS</name>  <value>hdfs://master1:9000</value>  </property>  <property>   <name>hadoop.tmp.dir</name>  <value>/home/hbase/hadoop-3.1.4/temp</value>  </property></configuration>

/home/hbase/hadoop-3.1.4/etc/hadoop/hdfs-site.xml文件配置如下:

<configuration> <property>   <name>dfs.namenode.name.dir</name>   <value>/home/hbase/hadoop-3.1.4/dfs/name</value>  </property>  <property>  <name>dfs.datanode.data.dir</name>  <value>/home/hbase/hadoop-3.1.4/dfs/data</value>  </property>  <property>  <name>dfs.replication</name>  <value>2</value>  </property> <property>   <name>dfs.namenode.secondary.http-address</name>   <value>master1:9001</value>  </property>   <property>  <name>dfs.webhdfs.enabled</name>  <value>true</value>  </property> </configuration>

是hdfs相关的配置

/home/hbase/hadoop-3.1.4/etc/hadoop/mapred-site.xml文件,配置如下:

<configuration> <property>  <name>mapreduce.framework.name</name>   <value>yarn</value>  </property>  <property>  <name>mapreduce.jobhistory.address</name>   <value>master1:10020</value>  </property>  <property>   <name>mapreduce.jobhistory.webapp.address</name>   <value>master1:19888</value>  </property> </configuration>

/home/hbase/hadoop-3.1.4/etc/hadoop/yarn-site.xml文件，配置如下：

<configuration> <property>  <name>yarn.nodemanager.aux-services</name>   <value>mapreduce_shuffle</value>  </property>  <property>   <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>   <value>org.apache.hadoop.mapred.ShuffleHandler</value>  </property>  <property>  <name>yarn.resourcemanager.address</name>   <value>master1:8032</value>  </property>  <property>    <name>yarn.resourcemanager.scheduler.address</name>   <value>master1:8030</value>  </property>  <property>  <name>yarn.resourcemanager.resource-tracker.address</name>    <value>master1:8031</value>  </property>  <property>  <name>yarn.resourcemanager.admin.address</name>     <value>master1:8033</value>  </property>  <property>   <name>yarn.resourcemanager.webapp.address</name>   <value>master1:8088</value>  </property></configuration>

/home/hbase/hadoop-3.1.4/etc/hadoop/workers文件，配置如下：

master2slave1slave2slave3

以上是配置hadoop集群时的slave信息

4.4.3 分发部署数据和文件夹

scp -r /home/hbase/hadoop-3.1.4 root@master2:/home/hbasescp -r /home/hbase/hadoop-3.1.4 root@slave1:/home/hbasescp -r /home/hbase/hadoop-3.1.4 root@slave2:/home/hbasescp -r /home/hbase/hadoop-3.1.4 root@slave3:/home/hbase

4.4.4 配置hadoop相关环境变量

在每个节点(master1、master2 、slave1、 slave2、slave3)上面修改/etc/profile文件中添加如下内容

export JAVA_HOME=/home/javajdk/jdk1.8.0_211export CLASSPATH=.:$JAVA_HOME/jre/lib/rt.jar:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jarexport PATH=$PATH:$JAVA_HOME/binexport HADOOP_HOME=/home/hbase/hadoop-3.1.4export PATH=$PATH:$HADOOP_HOME/sbinexport PATH=$PATH:$HADOOP_HOME/binexport HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/nativeexport HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib/native"

使用

source /etc/profile

使配置生效

4.4.5 启动hadoop在master上面执行如下命令格式化hdfs:

/home/hbase/hadoop-3.1.4/bin/hdfs namenode -format

如下图:

修改 /home/hbase/hadoop-3.1.4/sbin中的四个文件

对于start-dfs.sh和stop-dfs.sh文件，添加下列参数：

HDFS_DATANODE_USER=rootHDFS_DATANODE_SECURE_USER=hdfsHDFS_NAMENODE_USER=rootHDFS_SECONDARYNAMENODE_USER=root

对于start-yarn.sh和stop-yarn.sh文件，添加下列参数：

YARN_RESOURCEMANAGER_USER=rootHADOOP_SECURE_DN_USER=yarnYARN_NODEMANAGER_USER=root

在master上面执行如下命令启动hadoop:

/home/hbase/hadoop-3.1.4/sbin/start-all.sh

4.5 部署Hbase集群4.5.1 解压文件

解压文件hbase-2.2.6-bin.tar.gz

tar -zxvf hbase-2.2.6-bin.tar.gz -C /home/hbase

4.5.2 修改配置配置文件

打开hbase-2.2.6/conf/hbase-site.xml，修改配置如下：

<configuration><property>   <name>hbase.rootdir</name>   <value>hdfs://master1:9000/hbase</value>   <description>The directory shared by region servers.</description> </property> <property>   <name>hbase.hregion.max.filesize</name>   <value>1073741824</value>   <description>   Maximum HStoreFile size. If any one of a column families' HStoreFiles has   grown to exceed this value, the hosting HRegion is split in two.   Default: 256M.   </description> </property>  <property>  <name>hbase.unsafe.stream.capability.enforce</name>  <value>false</value></property> <property>   <name>hbase.hregion.memstore.flush.size</name>   <value>1073741824</value>   <description>   Memstore will be flushed to disk if size of the memstore   exceeds this number of bytes.  Value is checked by a thread that runs   every hbase.server.thread.wakefrequency.   </description> </property> <property>   <name>hbase.cluster.distributed</name>   <value>true</value>   <description>The mode the cluster will be in. Possible values are     false: standalone and pseudo-distributed setups with managed Zookeeper     true: fully-distributed with unmanaged Zookeeper Quorum (see hbase-env.sh)   </description> </property> <property>     <name>hbase.zookeeper.property.clientPort</name>     <value>2181</value>     <description>Property from ZooKeeper's config zoo.cfg.     The port at which the clients will connect.     </description> </property> <property>   <name>zookeeper.session.timeout</name>   <value>120000</value> </property> <property>   <name>hbase.zookeeper.property.tickTime</name>   <value>6000</value> </property>   <property>     <name>hbase.zookeeper.quorum</name>     <value>master1,master2,slave1,slave2,slave3</value>     <description>Comma separated list of servers in the ZooKeeper Quorum.     For example, "host1.mydomain.com,host2.mydomain.com,host3.mydomain.com".     By default this is set to localhost for local and pseudo-distributed modes of operation. For a fully-distributed setup, this should be set to a full list of ZooKeeper quorum servers. If HBASE_MANAGES_ZK is set in hbase-env.sh this is the list of servers which we will start/stop ZooKeeper on.     </description></property></configuration>

以上信息配置了hbase以来的zookeeper信息

修改文件hbase-2.2.6/conf/hbase-env.sh

export HBASE_DISABLE_HADOOP_CLASSPATH_LOOKUP="true"

去掉前面的#号

4.5.3 配置regionservers

打开hbase-2.2.6/conf/regionservers文件，配置如下：

master1master2slave1slave2slave3

4.5.4 修改Hbase JAVA环境变量

打开hbase-2.2.6/conf/hbase-env.sh文件，找到 export JAVA_HOME=/usr/java/jdk1.6.0/这一行，改为当前jdk的路径

export JAVA_HOME=/home/javajdk/jdk1.8.0_211

以上是hbase的集群配置

4.5.5 配置Hbase备份节点

在 /home/hbase/hbase-2.2.6/conf/backup-masters

master2

4.5.6 分发Hbase配置

scp -r /home/hbase/hbase-2.2.6 root@master2:/home/hbasescp -r /home/hbase/hbase-2.2.6 root@slave1:/home/hbasescp -r /home/hbase/hbase-2.2.6 root@slave2:/home/hbasescp -r /home/hbase/hbase-2.2.6 root@slave3:/home/hbase

4.5.7 配置Hbase环境变量

在所有节点(master1、master2 、slave1、 slave2、slave3)做如下操作

打开/etc/profile文件,添加如下配置

export HBASE_HOME=/home/hbase/hbase-2.2.6export PATH=$HBASE_HOME/bin:$PATH

以上是hbase运行所需的环境变量

4.5.8 使环境变量生效

支持如下命令

source /etc/profile

4.5.9 启动Hbase

在master上执行start-hbase.sh命令启动hbase(由于hbase/bin已经添加到环境变量中，所以start-hbase.sh可以在任何目录下执行)，启动信息如下图所示：

start-hbase.sh

master节点

slave节点

4.5.10 验证Hbase是否启动

执行以下命令,可以进入Hbase的命令行模式

hbase shell

5.Opentsdb安装5.1 安装包准备

依赖软件

版本

cairo-1.15.12-3.el7.x86_64.rpm

fribidi-1.0.2-1.el7.x86_64.rpm

gd-2.0.35-26.el7.x86_64.rpm

gnuplot-4.6.2-3.el7.x86_64.rpm

gnuplot-common-4.6.2-3.el7.x86_64.rpm

graphite2-1.3.10-1.el7_3.x86_64.rpm

harfbuzz-1.7.5-2.el7.x86_64.rpm

libglvnd-1.0.1-0.8.git5baa1e5.el7.x86_64.rpm

libglvnd-egl-1.0.1-0.8.git5baa1e5.el7.x86_64.rpm

libglvnd-glx-1.0.1-0.8.git5baa1e5.el7.x86_64.rpm

libthai-0.1.14-9.el7.x86_64.rpm

libwayland-client-1.15.0-1.el7.x86_64.rpm

libwayland-server-1.15.0-1.el7.x86_64.rpm

libXdamage-1.1.4-4.1.el7.x86_64.rpm

libXfixes-5.0.3-1.el7.x86_64.rpm

libXpm-3.5.12-1.el7.x86_64.rpm

libxshmfence-1.2-1.el7.x86_64.rpm

libXxf86vm-1.1.4-1.el7.x86_64.rpm

mesa-libEGL-18.0.5-4.el7_6.x86_64.rpm

mesa-libgbm-18.0.5-4.el7_6.x86_64.rpm

mesa-libGL-18.0.5-4.el7_6.x86_64.rpm

pango-1.42.4-2.el7_6.x86_64.rpm

pixman-0.34.0-1.el7.x86_64.rpm

软件

版本

opentsdb-2.4.0.noarch.rpm

5.1.1 安装依赖

使用以下命令对opentsdb2.4.0.zip解压.

unzip opentsdb2.4.0.zip -d /home/packages/opentsdb2.4

进入 /home/packages/opentsdb2.4/opentsdbyilai ,进行依赖的安装

rpm -Uvh --force --nodeps *rpm

执行完结果如下

5.1.2 安装Opentsdb

进入/home/packages/opentsdb2.4对opentsdb进行安装,具体安装命令如下

rpm -ivh opentsdb-2.4.0.noarch.rpm

安装结果如下

5.1.3 修改配置文件

vim /usr/share/opentsdb/etc/opentsdb/opentsdb.conf 增加配置项

tsd.network.port = 4242tsd.http.staticroot = /usr/share/opentsdb/static/tsd.http.cachedir = /tmp/opentsdbtsd.core.auto_create_metrics = truetsd.storage.fix_duplicates=truetsd.core.plugin_path = /usr/share/opentsdb/pluginstsd.query.timeout = 270000tsd.query.multi_get.batch_size=40000tsd.query.multi_get.concurrent=40000tsd.storage.enable_appends = truetsd.http.request.enable_chunked = truetsd.http.request.max_chunk = 104857600# Path under which the znode for the -ROOT- region is located, default is "/hbase"#tsd.storage.hbase.zk_basedir = /hbase# A comma separated list of Zookeeper hosts to connect to, with or without# port specifiers, default is "localhost"tsd.storage.hbase.zk_quorum = master1,master2,slave1,slave2,slave3

5.1.4 修改建表语句

编辑/usr/share/opentsdb/tools/create_table.sh 中以下内容

create '$TSDB_TABLE',  {NAME => 't', VERSIONS => 1, COMPRESSION => '$COMPRESSION', BLOOMFILTER => '$BLOOMFILTER', DATA_BLOCK_ENCODING => '$DATA_BLOCK_ENCODING', TTL => '$TSDB_TTL'}

修改为

create '$TSDB_TABLE',  {NAME => 't', VERSIONS => 1, COMPRESSION => '$COMPRESSION', BLOOMFILTER => '$BLOOMFILTER', DATA_BLOCK_ENCODING => '$DATA_BLOCK_ENCODING'}

5.1.5 执行建表语句

上面的配置修改好之后可以执行创建表

env COMPRESSION=NONE HBASE_HOME=/home/hbase/hbase-2.2.6 /usr/share/opentsdb/tools/create_table.sh

创建成功如下图

注意如果创建表出现如下错误

ERROR: org.apache.hadoop.hbase.PleaseHoldException: Master is initializing        at org.apache.hadoop.hbase.master.HMaster.checkInitialized(HMaster.java:2826)        at org.apache.hadoop.hbase.master.HMaster.createTable(HMaster.java:2032)        at org.apache.hadoop.hbase.master.MasterRpcServices.createTable(MasterRpcServices.java:659)        at org.apache.hadoop.hbase.shaded.protobuf.generated.MasterProtos$MasterService$2.callBlockingMethod(MasterProtos.java)        at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:418)        at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:133)        at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:338)        at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:318)For usage try 'help "create"'

处置过程

进入zookeeper的bin目录执行

sh zkCli.sh

在执行

ls /

看到如下内容

使用

deleteall /hbase

删除上面的hbase

在执行以下

ls /

看是否被删除

确认被删除了就直接使用quit退出,在重启hbase

stop-hbase.shstart-habse.sh

如果重启不了,可以使用kill -9 杀掉hbase进程的HMaster,HRegionServer

在执行上面的创建表就能正常创建表了.

5.2 启动opentsdb5.2.1 修改文件权限

进入/usr/share/opentsdb/bin/执行添加权限的命令

chmod a+x ./tsdb

5.2.2 启动

/usr/share/opentsdb/bin/tsdb tsd

5.2.3 访问地址

ip:4242

5.4 配置系统服务5.4.1 添加启动service

添加/usr/lib/systemd/system/opentsdb.service 文件

[Unit]Description=OpenTSDB ServiceAfter=network.target[Service]Type=forkingPrivateTmp=yesExecStart=/usr/share/opentsdb/etc/init.d/opentsdb startExecStop=/usr/share/opentsdb/etc/init.d/opentsdb stopRestart=on-abort[Install]WantedBy=multi-user.target

注册好系统服务之后就可以使用如下命令进行启动了.

systemctl start opentsdb.service    # 启动systemctl status opentsdb.service   # 查看状态systemctl enable opentsdb.service   # 开机启动systemctl stop opentsdb.service     # 停止

5.5 分发部署

如果需要部署多个节点需要执行分发部署拷贝配置文件

scp -r /usr/lib/systemd/system/opentsdb.service root@master2:/usr/lib/systemd/system/opentsdb.servicescp -r /usr/lib/systemd/system/opentsdb.service root@slave1:/usr/lib/systemd/system/opentsdb.servicescp -r /usr/lib/systemd/system/opentsdb.service root@slave2:/usr/lib/systemd/system/opentsdb.servicescp -r /usr/lib/systemd/system/opentsdb.service root@slave3:/usr/lib/systemd/system/opentsdb.service

拷贝安装opentsdb安装包

scp -r /home/packages/opentsdb2.4 root@master2:/home/opentsdb2.4scp -r /home/packages/opentsdb2.4 root@slave1:/home/opentsdb2.4scp -r /home/packages/opentsdb2.4 root@slave2:/home/opentsdb2.4scp -r /home/packages/opentsdb2.4 root@slave3:/home/opentsdb2.4

每台服务器上面执行

cd /home/opentsdb2.4/opentsdbyilai/rpm -Uvh --force --nodeps *rpmcd /home/opentsdb2.4rpm -ivh opentsdb-2.4.0.noarch.rpmcd /usr/share/opentsdb/bin/chmod a+x ./tsdb

批量拷贝master1上面的配置文件

scp -r /usr/share/opentsdb/etc/opentsdb/opentsdb.conf root@master2:/usr/share/opentsdb/etc/opentsdb/opentsdb.confscp -r /usr/share/opentsdb/etc/opentsdb/opentsdb.conf root@slave1:/usr/share/opentsdb/etc/opentsdb/opentsdb.confscp -r /usr/share/opentsdb/etc/opentsdb/opentsdb.conf root@slave2:/usr/share/opentsdb/etc/opentsdb/opentsdb.confscp -r /usr/share/opentsdb/etc/opentsdb/opentsdb.conf root@slave3:/usr/share/opentsdb/etc/opentsdb/opentsdb.conf

每个节点执行启动,完成开机自动启动

systemctl start opentsdb.service   systemctl enable opentsdb.service  systemctl status opentsdb.service

6.Opentsdb负载均衡6.1 安装nginx

通过docker 和docker-compose来部署nginx,首先安装docker

6.1.1 安装docker

解压docker.rar 里面包含了docker和docker-compose离线安装包. 解压后分别会有 docker-compose和docker-ce-packages两个目录,先安装docker

chmod a+x /home/packages/docker-ce-packages/install.shsh install.sh

6.1.2安装docker-compose

进入 docker-compose目录执行

chmod a+x /home/packages/docker-compose/install.shsh install.sh

6.2 添加nginx配置文件6.2.1 新建文件夹

mkdir -p /home/nginx

6.2.2 创建配置文件

nginx负载均衡配置文件名称为 default.conf

upstream opentsdb{   server 192.168.21.104:4242;   server 192.168.21.105:4242;   server 192.168.21.106:4242;   server 192.168.21.107:4242;   server 192.168.21.108:4242;}server {        listen       80;        server_name  127.0.0.1;                location / {		        client_max_body_size  500m;	          proxy_connect_timeout 300s;		        proxy_send_timeout 300s;            proxy_read_timeout 300s;            proxy_set_header Host $host;            proxy_set_header  X-Real-IP        $remote_addr;            proxy_set_header  X-Forwarded-For  $proxy_add_x_forwarded_for;            proxy_set_header X-NginX-Proxy true;            proxy_pass ;        }}

6.2.3 创建启动文件

创建docker-compose启动yml文件

version: '3'services:  opentsdb_proxy:    privileged: true    image: nginx:latest    restart: unless-stopped    volumes:      - $PWD/default.conf:/etc/nginx/conf.d/default.conf    ports:      - "8484:80"    container_name: opentsdb_proxy

6.2.4 启动nginx负载均衡器

进入/home/nginx启动nginx负载均衡