>create 'blog','article','author'
来查看下表结构
>describe 'blog'

Table blog is ENABLED
blog
COLUMN FAMILIES DESCRIPTION
{NAME => 'article', BLOOMFILTER => 'ROW', VERSIONS => '1', IN_MEMORY => 'false', KEEP_D
ELETED_CELLS => 'FALSE', DATA_BLOCK_ENCODING => 'NONE', TTL => 'FOREVER', COMPRESSION =
> 'NONE', MIN_VERSIONS => '0', BLOCKCACHE => 'true', BLOCKSIZE => '65536', REPLICATION_
SCOPE => '0'}
{NAME => 'author', BLOOMFILTER => 'ROW', VERSIONS => '1', IN_MEMORY => 'false', KEEP_DE
LETED_CELLS => 'FALSE', DATA_BLOCK_ENCODING => 'NONE', TTL => 'FOREVER', COMPRESSION =>'NONE', MIN_VERSIONS => '0', BLOCKCACHE => 'true', BLOCKSIZE => '65536', REPLICATION_S
COPE => '0'}
2 row(s) in 0.0430 seconds

2. 插入数据

插入一行
>put 'blog','blog1','article:title','mapreduce'
>put 'blog','blog1','article:content','intorduce mapreduce'
>put 'blog','blog1','article:tag','computing'>put 'blog','blog1','author:name','David'
>put 'blog','blog1','author:gender','male'
>put 'blog','blog1','author:age','34'第二行
>put 'blog','blog2','article:title','hadoop'
>put 'blog','blog2','article:content','hadoop in action'
>put 'blog','blog2','article:tag','system'>put 'blog','blog2','author:name','jim'
>put 'blog','blog2','author:gender','male'
>put 'blog','blog2','author:age','35'第三行

>put 'blog','blog3','article:title','hdfs'
>put 'blog','blog3','article:content','princilpe'
>put 'blog','blog3','article:tag','storage'>put 'blog','blog3','author:name','jack'
>put 'blog','blog3','author:gender','male'
>put 'blog','blog3','author:age','21'

>get 'blog','blog2','author:name','author:age'
COLUMN                 CELL                                                            author:age            timestamp=1516592344548, value=35                               author:name           timestamp=1516592314918, value=jim
2 row(s) in 0.0110 seconds

>scan 'blog',{COLUMNS=>'article:title'}
ROW                    COLUMN+CELL                                                     blog1                 column=article:title, timestamp=1516591624453, value=mapreduce  blog2                 column=article:title, timestamp=1516592170858, value=hadoop     blog3                 column=article:title, timestamp=1516592680840, value=hdfs
3 row(s) in 0.0400 seconds

5. 更新“blog1”作者的age为40

>put 'blog','blog1','author:age','40'

6. 读出rowkey为“blog1”中author的name和age(参考3)

>delete 'blog','blog3','article:tag'

8. 读出所有article的title和tag，同时读出所有author的name

>scan 'blog',{COLUMNS=>['article:title','article:tag','author:name']}
ROW                    COLUMN+CELL                                                     blog1                 column=article:tag, timestamp=1516591824979, value=computing    blog1                 column=article:title, timestamp=1516591624453, value=mapreduce  blog1                 column=author:name, timestamp=1516592031628, value=David        blog2                 column=article:tag, timestamp=1516592220615, value=system       blog2                 column=article:title, timestamp=1516592170858, value=hadoop     blog2                 column=author:name, timestamp=1516592314918, value=jim          blog3                 column=article:title, timestamp=1516592680840, value=hdfs       blog3                 column=author:name, timestamp=1516592703643, value=jack
3 row(s) in 0.0230 seconds