Hadoop3.3.6安装和配置hbase-2.5.5-hadoop3x，zookeeper-3.8.3

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文章目录

前置配置

vm设置

虚拟机创建（hadoop1，hadoop2,hadoop3）

在安装过程中推荐设置root用户密码为1234方面后续操作

linux前置配置(三个机器都要设置)

1.设置主机名

以hadoop3为例

hostnamectl set-hostname hadoop3

2.设置固定ip

vim  /etc/sysconfig/network-scripts/ifcfg-ens33

hadoop1 192.168.88.201

hadoop2 192.168.88.202

hadoop3 192.168.88.203

最后执行
service network restart
刷新网卡

3.工具连接(三个机器都要设置)

4.主机映射

windows:

C:\Windows\System32\drivers\etc

修改这个路径下的hosts文件

推荐使用vscode打开可以修改成功

linux:（三个机器都要设置）

vim /etc/hosts

5.配置SSH免密登录（三个机器都要设置）

root免密

1.在每一台机器都执行：ssh-keygen -trsa -b 4096 ,一路回车到底即可

2.在每一台机器都执行：

ssh-copy-id hadoop1
ssh-copy-id hadoop2
ssh-copy-id hadoop3

hadoop免密

创建hadoop用户并配置免密登录

1.在每一台机器执行：useradd hadoop,创建hadoop用户

2.在每一台机器执行：passwd hadoop,设置hadoop用户密码为1234

3.在每一台机器均切换到hadoop用户：su - hadoop,并执行ssh-keygen -trsa -b 4096,创建ssh密钥

4.在每一台机器均执行

ssh-copy-id hadoop1
ssh-copy-id hadoop2
ssh-copy-id hadoop3

6.关闭防火墙和SELinux（三个机器都要设置）

1：

systemctl stop firewalld

systemctl disable firewalld

2.

vim /etc/sysconfig/selinux 

设置好输入 init 6 重启

3.

以下操作在三台Linux均执行

1. 安装ntp软件

yum install -y ntp

1. 更新时区

rm -f /etc/localtime;sudo ln -s /usr/share/zoneinfo/Asia/Shanghai /etc/localtime

1. 同步时间

ntpdate -u ntp.aliyun.com

1. 开启ntp服务并设置开机自启

systemctl start ntpd

systemctl enable ntpd

三台创建快照1

环境配置

1、jdk1.8 Java Downloads | Oracle

2、hadoop-3.3.6 Apache Hadoop

3、hbase-2.5.5.hadoop3x Index of /dist/hbase/2.5.5 (apache.org)

4、zookeeper-3.8.3 Apache ZooKeeper

重点：以下配置都是在root用户下进行配置后续会给对应的hadoop用户权限

推荐一口气配置完在进行给予权限和进行配置文件的刷新，以及最后的分发

jdk

创建文件夹，用来部署JDK，将JDK和Tomcat都安装部署到：/export/server 内

cd /

mkdir export

cd export

mkdir server

解压缩JDK安装文件

tar -zxvf jdk-8u321-linux-x64.tar.gz -C /export/server

配置JDK的软链接

配置JAVA_HOME环境变量，以及将$JAVA_HOME/bin文件夹加入PATH环境变量中

vim /etc/profile

export JAVA_HOME=/export/server/jdk
export PATH=$PATH: $JAVA_HOME/bin

生效环境变量

source /etc/profile

删除系统自带的java程序

rm -f /usr/bin/java

软链接我们自己的java

ln -s /export/server/jdk/bin/java /usr/bin/java

执行验证

分发

hadoop2,3先创建文件夹

hadoop分发

cd /export/server/

scp -r jdk1.8.0_321/ hadoop2:`pwd`

scp -r jdk1.8.0_321/ hadoop3:`pwd`

cd /etc

scp -r profile hadoop2:`pwd`

scp -r profile hadoop3:`pwd`

hadoop2,3

source /etc/profile

rm -f /usr/bin/java

ln -s /export/server/jdk/bin/java /usr/bin/java

hadoop

上传和解压

cd /export/server

 tar -zxvf hadoop-3.3.6.tar.gz 

ln -s hadoop-3.3.6 hadoop

hadoop配置

worksers

hadoop1

hadoop2

hadoop3

hdfs-site.xml

<property><name>dfs.namenode.http-address</name><value>0.0.0.0:9870</value><description> The address and the base port where the dfs namenode web ui will listen on.
</description></property><property><name>dfs.datanode.data.dir.perm</name><value>700</value></property><property><name>dfs.namenode.name.dir</name><value>/data/nn</value></property><property><name>dfs.namenode.hosts</name><value>hadoop1,hadoop2,hadoop3</value></property><property><name>dfs.blocksize</name><value>268435456</value></property><property><name>dfs.namenode.handler.count</name><value>100</value></property><property><name>dfs.datanode.data.dir</name><value>/data/dn</value></property>

core-site.xml

<property><name>fs.defaultFS</name><value>hdfs://hadoop1:8020</value></property><property><name>io.file.buffer.size</name><value>131072</value></property>

hadoop-env.sh

exportJAVA_HOME=/export/server/jdk
exportHADOOP_HOME=/export/server/hadoop
exportHADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
exportHADOOP_LOG_DIR=$HADOOP_HOME/logs

yarn-site.xml

<!-- Site specific YARN configuration properties --><property><name>yarn.log.server.url</name><value>http://hadoop1:19888/jobhistory/logs</value><description></description></property><property><name>yarn.web-proxy.address</name><value>hadoop1:8089</value><description>proxy server hostname and port</description></property><property><name>yarn.log-aggregation-enable</name><value>true</value><description>Configuration to enable or disable log aggregation</description></property><property><name>yarn.nodemanager.remote-app-log-dir</name><value>/tmp/logs</value><description>Configuration to enable or disable log aggregation</description></property><!-- Site specific YARN configuration properties --><property><name>yarn.resourcemanager.hostname</name><value>hadoop1</value><description></description></property><property><name>yarn.resourcemanager.scheduler.class</name><value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value><description></description></property><property><name>yarn.nodemanager.local-dirs</name><value>/data/nm-local</value><description>Comma-separated list of paths on the local filesystem where intermediate data is written.</description></property><property><name>yarn.nodemanager.log-dirs</name><value>/data/nm-log</value><description>Comma-separated list of paths on the local filesystem where logs are written.</description></property><property><name>yarn.nodemanager.log.retain-seconds</name><value>10800</value><description>Default time (in seconds) to retain log files on the NodeManager Only applicable if log-aggregation is disabled.</description></property><property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value><description>Shuffle service that needs to be set for Map Reduce applications.</description></property><!-- 是否需要开启Timeline服务 --><property><name>yarn.timeline-service.enabled</name><value>true</value></property><!-- Timeline Web服务的主机，通过8188端⼝访问 --><property><name>yarn.timeline-service.hostname</name><value>hadoop1</value></property><!-- 设置ResourceManager是否发送指标信息到Timeline服务 --><property><name>yarn.system-metrics-publisher.enabled</name><value>false</value></property>

mapred-site.xml

<property><name>mapreduce.framework.name</name><value>yarn</value><description></description></property><property><name>mapreduce.jobhistory.address</name><value>hadoop1:10020</value><description></description></property><property><name>mapreduce.jobhistory.webapp.address</name><value>hadoop1:19888</value><description></description></property><property><name>mapreduce.jobhistory.intermediate-done-dir</name><value>/data/mr-history/tmp</value><description></description></property><property><name>mapreduce.jobhistory.done-dir</name><value>/data/mr-history/done</value><description></description></property><property><name>yarn.app.mapreduce.am.env</name><value>HADOOP_MAPRED_HOME=$HADOOP_HOME</value></property><property><name>mapreduce.map.env</name><value>HADOOP_MAPRED_HOME=$HADOOP_HOME</value></property><property><name>mapreduce.reduce.env</name><value>HADOOP_MAPRED_HOME=$HADOOP_HOME</value></property>

环境变量配置

vim /etc/profile

exportHADOOP_HOME=/export/server/hadoop 

exportPATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin 

分发hadoop到 主机2，3

发送hadoop

cd /export/server/

scp -r hadoop-3.3.6/ hadoop2:`pwd`

scp -r hadoop-3.3.6/ hadoop3:`pwd`

发送环境变量

cd /etc

scp -r profile hadoop2:`pwd`

scp -r profile hadoop2:`pwd`

其他设置

hadoop2,3分别创建软连接

cd /export/server/

 ln -s hadoop-3.3.6/ hadoop

刷新环境变量

source /etc/peorfile

hadoop version

hadoop权限配置

主机 123 

都执行： 以

 root

权限 给 hadoop 用户配置相关权限

mkdir -p /data/nn

mkdir -p /data/dn

chown -R hadoop:hadoop /data

chown -R hadoop:hadoop /export

创建快照2

格式化与启动

1.切换用户hadoop

 su - hadoop

2.进行格式化

hdfs namenode -format

3.启动!!!

一键启动：

start-all.sh

分开启动：

start-dfs.sh

start-yarn.sh

查看网页

zookeeper

上传与解压

 cd /export/server/

tar -zxvf apache-zookeeper-3.9.1-bin.tar.gz 

ln -s apache-zookeeper-3.9.1-bin zookeeper

rm -rf apache-zookeeper-3.9.1-bin.tar.gz 

配置

cd /export/server/zookeeper/conf/

cp zoo_sample.cfg zoo.cfg

//修改 zoo.cfg 配置文件，将 dataDir=/data/zookeeper/data 修改为指定的data目录

vim zoo.cfg

dataDir=/export/server/zookeeper/zkData

server.2=hadoop1:2888:3888
server.1=hadoop2:2888:3888
server.3=hadoop3:2888:3888

cd .. 

mkdir zkData

vim myid

分发和环境变量

环境变量

vim /etc/profile

exportZOOKEEPER_HOME=/export/server/zookeeper
exportPATH=$PATH:$ZOOKEEPER_HOME/bin

分发

cd /etc

scp -r profile hadoop2:`pwd`

scp -r profile hadoop3:`pwd`

cd /export/server/

scp -r  apache-zookeeper-3.9.1-bin/ hadoop2:`pwd`

scp -r  apache-zookeeper-3.9.1-bin/ hadoop3:`pwd`

hadoop2,3创建软连接

ln -s apache-zookeeper-3.9.1-bin/ zookeeper

hadoop2,3修改内容

cd /export/server/zookeeper/zkData/

hadoop1 修改为2
hadoop2 修改为1
hadoop3 修改为3

刷新配置文件

source /etc/profile

重新给权限

chown -R hadoop:hadoop /export

启动（三个机器都执行）

su - hadoop

bin/zkServer.sh start 

查看状态

bin/zkServer.sh status

hbase

上传和解压

tar -zxvf hbase-2.5.5-hadoop3-bin.tar.gz 

ln -s hbase-2.5.5-hadoop3 hbase

rm -rf hbase-2.5.5-hadoop3-bin.tar.gz 

配置

cd /export/server/hbase/conf/

mkdir -p /data/hbase/logs

hbase-env.sh

exportJAVA_HOME=/export/server/jdk
exportHBASE_MANAGES_ZK=false

regionservers

backup-master

vim backup-master

hbase-site.xml

<property><name>hbase.cluster.distributed</name><value>true</value></property><property><name>hbase.zookeeper.quorum</name><value>hadoop1,hadoop2,hadoop3</value></property><property><name>hbase.rootdir</name><value>hdfs://hadoop1:8020/hbase</value></property><property><name>hbase.wal.provider</name><value>filesystem</value></property>

分发和权限以及环境变量

环境变量

vim /etc/profile

export HBASE_HOME=/export/server/hbase

export PATH=$PATH:$HBASE_HOME/bin

分发

cd /export

scp -r hbase-2.5.5-hadoop3/ hadoop2:`pwd`

scp -r hbase-2.5.5-hadoop3/ hadoop3:`pwd`

hadoop2,3分别创建软连接

ln -s hbase-2.5.5-hadoop2/ hbase

ln -s hbase-2.5.5-hadoop3/ hbase

cd /etc

scp -r profile hadoop2:`pwd`

scp -r profile hadoop3:`pwd`

source  /etc/proflie

权限（都执行）

chown -R hadoop:hadoop /export

chown -R hadoop:hadoop /data

启动

su - hadoop

start-hbase