借助于hdfs（具体可参考 搭建hadoop），再搭建hbase就十分方便
hbase需要hdfs，zookeeper。所以自建一个zk server
环境：
master：主机名/ip都是master
d1-d3：主机名/ip分别是d1-d3，统称为ds
zk在d1上
以下操作均在master上完成
首先下载hbase并解压到/opt/hbase
wget http://www-eu.apache.org/dist/hbase/stable/hbase-1.2.6-bin.tar.gz
进入conf开始配置
hbase-env.sh
# The java implementation to use. Java 1.7+ required. export JAVA_HOME=/usr/lib/jvm/java-8-oracle
hbase-site.xml
<configuration> <property> <name>hbase.rootdir</name> <value>hdfs://master:9000/hbase</value> </property> <property> <name>hbase.master</name> <value>master</value> </property> <property> <name>hbase.cluster.distributed</name> <value>true</value> </property> <property> <name>hbase.zookeeper.property.clientPort</name> <value>2181</value> </property> <property> <name>hbase.zookeeper.quorum</name> <value>d1</value> </property> <property> <name>zookeeper.session.timeout</name> <value>60000000</value> </property> <property> <name>dfs.support.append</name> <value>true</value> </property> </configuration>
可以看到这里主要指定hadoop namenode和zk的位置
regionservers：
d1
d2
d3
依次把hbase节点填入
然后把/opt/hbase用scp拷贝到ds
在master，执行start-hbase.sh即可全部启动
自带的管理web ui：http://master:16010/master-status
来做一些常用数据操作
xxx$hbase shell
...
Type "exit<RETURN>" to leave the HBase Shell
Version 1.2.6, rUnknown, Mon May 29 02:25:32 CDT 2017
hbase(main):001:0> list
TABLE
test
1 row(s) in 0.1550 seconds
=> ["test"]
hbase(main):002:0> create ‘table1‘,‘cf1‘,‘cf2‘
0 row(s) in 2.3260 seconds
=> Hbase::Table - table1
hbase(main):003:0> put ‘table1‘,‘row1‘,‘cf1:c1‘,‘i am cf1.c1 value‘
0 row(s) in 0.1480 seconds
hbase(main):004:0> put ‘table1‘,‘row1‘,‘cf1:c2‘,‘i am cf1.c2 value‘
0 row(s) in 0.0090 seconds
hbase(main):005:0> put ‘table1‘,‘row1‘,‘cf2:c1‘,‘i am cf2.c1 value‘
0 row(s) in 0.0070 seconds
hbase(main):007:0> put ‘table1‘,‘row2‘,‘cf2:c4‘,‘i am cf2.c4 value‘
0 row(s) in 0.0050 seconds
hbase(main):008:0> scan ‘table1‘
ROW COLUMN+CELL
row1 column=cf1:c1, timestamp=1513669511645, value=i am cf1.c1 value
row1 column=cf1:c2, timestamp=1513669522464, value=i am cf1.c2 value
row1 column=cf2:c1, timestamp=1513669539419, value=i am cf2.c1 value
row2 column=cf2:c4, timestamp=1513669561824, value=i am cf2.c4 value
2 row(s) in 0.0140 seconds
hbase(main):011:0> scan ‘table1‘, {ROWPREFIXFILTER => ‘row2‘}
ROW COLUMN+CELL
row2 column=cf2:c4, timestamp=1513669561824, value=i am cf2.c4 value
1 row(s) in 0.0100 seconds
hbase(main):013:0> create ‘table2‘,‘xx‘
0 row(s) in 1.2270 seconds
hbase(main):014:0> list
TABLE
table1
table2
test
3 row(s) in 0.0040 seconds
base(main):016:0> disable ‘table2‘
0 row(s) in 2.2380 seconds
hbase(main):017:0> drop ‘table2‘
0 row(s) in 1.2390 seconds
hbase(main):018:0> list
TABLE
table1
test
2 row(s) in 0.0060 seconds
建表，删表，插入，条件查询等
可以看到跟hadoop一样，数据节点只需做ssh设置，其他操作都在master完成
