2021SC@SDUSC
目录
Hbase概述
Hbase集群安装
Hadoop安装与配置
ZooKeeper安装与配置
Hbase安装与配置
Hbase源码下载
组内分工
2021SC@SDUSC
Hbase 是一种分布式、高可靠性、高性能、面向列、可伸缩的 NoSQL 数据库。Hadoop HDFS为Hbase提供了高可靠性的底层存储支持，Hadoop MapReduce为Hbase提供了高性能的计算能力，Zookeeper为Hbase提供了稳定服务和failover机制。
yum install -y epel-release
systemctl stop firewalld systemctl disable firewalld.service
vim /etc/sudoers ycx ALL=(ALL) NOPASSWD:ALL
rpm -qa | grep -i java | xargs -n1 rpm -e --nodeps
vim /etc/sysconfig/network-scripts/ifcfg-ens33
修改Windows系统适配器VMware Network Adapter VMnet8的IP地址
修改主机名称，配置Linux克隆机主机名称映射hosts文件，配置windows的主机映射hosts文件
192.168.10.102 hadoop102 192.168.10.103 hadoop103 192.168.10.104 hadoop104
安装xshell和xftp，并与三台虚拟机建立连接，并将JDK和hadoop所需的压缩包下载拷贝到虚拟机中
为hadoop102安装JDK，并配置环境变量,同时编写xsync分发脚本，将JDK分发至hadoop103和hadoop104
tar -zxvf jdk-8u212-linux-x64.tar.gz -C /opt/module/
sudo vim /etc/profile.d/my_env.sh
#JAVA_HOME
export JAVA_HOME=/opt/module/jdk1.8.0_212
export PATH=$PATH:$JAVA_HOME/bin
source /etc/profile
xsync分发脚本：
#!/bin/bash
if [ $# -lt 1 ]
then
echo Not Enough Arguement!
exit;
fi
for host in hadoop102 hadoop103 hadoop104
do
echo ==================== $host ====================
for file in $@
do
if [ -e $file ]
then
pdir=$(cd -P $(dirname $file); pwd)
fname=$(basename $file)
ssh $host "mkdir -p $pdir"
rsync -av $pdir/$fname $host:$pdir
else
echo $file does not exists!
fi
done
done
chmod 777 xsync
xsync /opt/module/
sudo ./bin/xsync /etc/profile.d/my_env.sh 为hadoop102安装hadoop，并配置环境变量,同时分发至hadoop103、hadoop104
tar -zxvf hadoop-3.1.3.tar.gz -C /opt/module/ sudo vim /etc/profile.d/my_env.sh #HADOOP_HOME export HADOOP_HOME=/opt/module/hadoop-3.1.3 export PATH=$PATH:$HADOOP_HOME/bin export PATH=$PATH:$HADOOP_HOME/sbin source /etc/profile xsync /opt/module/ sudo ./bin/xsync /etc/profile.d/my_env.sh
hadoop102: ssh-keygen -t rsa ssh-copy-id hadoop102 ssh-copy-id hadoop103 ssh-copy-id hadoop104
core-site.xml：
fs.defaultFS
hdfs://hadoop102:8020
hadoop.tmp.dir
/opt/module/hadoop-3.1.3/data
hadoop.http.staticuser.user
ycx
hdfs-site.xml:
dfs.namenode.http-address
hadoop102:9870
dfs.namenode.secondary.http-address
hadoop104:9868
yarn-site.xml:
yarn.nodemanager.aux-services
mapreduce_shuffle
yarn.resourcemanager.hostname
hadoop103
yarn.nodemanager.env-whitelist
JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOME
mapred-site.xml:
mapreduce.framework.name
yarn
workers:
hadoop102
hadoop103
hadoop104
xsync /opt/module/hadoop-3.1.3/etc/hadoop/
启动集群
hdfs namenode -format sbin/start-dfs.sh sbin/start-yarn.sh
tar -zxvf apache-zookeeper-3.5.7-bin.tar.gz -C /opt/module/
配置ZooKeeper
mv zoo_sample.cfg zoo.cfg mkdir zkData vim myid myid文件： hadoop102为2 hadoop103为3 hadoop104为4 xsync apache-zookeeper-3.5.7-bin/ vim zoo.cfg 将zoo.cfg中的dataDir修改为/opt/module/zkData,并添加 server.2=hadoop102:2888:3888 server.3=hadoop103:2888:3888 server.4=hadoop104:2888:3888 xsync zoo.cfg
启动ZooKeeper
bin/zkServer .sh start bin/zkCli.sh
tar -zxvf hbase-2.3.6-bin.tar.gz -C /opt/module
配置Hbase
hbase-env.sh: export JAVA_HOME=/opt/module/jdk1.8.0_212 export Hbase_MANAGES_ZK=false hbase-site.xml:hbase.cluster.distributed true hbase.master.port 16000 hbase.wal.provider filesystem hbase.zookeeper.quorum hadoop102,hadoop103,hadoop104 regionservers: hadoop102 hadoop103 hadoop104 ln -s /opt/module/hadoop-3.1.3/etc/hadoop/core-site.xml /opt/module/hbase/conf/core- site.xml ln -s /opt/module/hadoop-3.1.3/etc/hadoop/hdfs-site.xml /opt/module/hbase/conf/hdfs-site.xml xsync hbase-2.3.6/ hbase.zookeeper.property.dataDir /opt/module/zkData
启动Hbase
bin/start-hbase.sh
解压缩，maven编译
mvn clean compile package -DskipTests
导入IDEA并配置
将conf目录下的文件拷贝到hbase-server的resources和hbase-shell的resources中
我负责Hbase读写数据流程的源码分析，后续根据实际进度动态调整
