Hbase shell命令练习 | 每天，遇到更好的你

启动HBase，要确认已启动Hadoop集群，Zookeeper

1	[root@node5 hadoop-2.5.1]# start-hbase.sh

进入Hbase

1	[root@node5 ~]# hbase shell

显示Hbase中的表

1	hbase(main):001:0> list

1.创建user表，包含info.data两个列族

1 2	创建表方式一： hbase(main):002:0> create 'user','info','data'

1 2	创建表方式二： create 'user',{NAME => 'info',VERSIONS => '3'}

1	hbase(main):009:0> list

1	hbase(main):011:0> create 'm_user', {NAME => 'info', VERSIONS => '3'},{NAME => 'data', VERSIONS => '3'}

2.向user表中插入信息，row key为rk0001，列族info中添加name列标识符，值为matrix

1	hbase(main):015:0> put 'user','rk0001','info:name','matrix'

3.向user表中插入信息，row key为rk0001，列族info中添加gender列标示符，值为female

1	hbase(main):016:0> put 'user','rk0001','info:gender','female'

4.向user表中插入信息，row key为rk0001，列族info中添加age列标示符，值为20

1	hbase(main):017:0> put 'user','rk0001','info:age',20

5.向user表中插入信息，row key为rk0001，列族data中添加pic列标示符，值为picture

1	hbase(main):019:0> put 'user','rk0001','data:pic','picture'

6.获取user表中row key为rk0001的所有信息

1	hbase(main):022:0> get 'user','rk0001'

7.获取user表中row key为rk0001，info列族的所有信息

1	hbase(main):023:0> get 'user','rk0001','info'

8.获取user表中row key为rk0001，info列族的name.gender.age标示符的信息

1	hbase(main):024:0> get 'user','rk0001','info:name','info:gender','info:age'

9.获取user表中row key为rk0001，info.data列族的信息

1	hbase(main):025:0> get 'user','rk0001','info','data'

1	hbase(main):027:0> get 'user','rk0001',{COLUMN => ['info','data']}

1	hbase(main):029:0> get 'user','rk0001',{COLUMN => ['info:name','data:pic']}

10.获取user表中row key为rk0001，列族为info.版本号最新5个的信息

1	hbase(main):030:0> get 'user','rk0001',{COLUMN => 'info' ,VERSION => 2}

1	hbase(main):031:0> get 'user','rk0001',{COLUMN => 'info:name',VERSION => 5}

11.查询user表中所有信息

1	hbase(main):032:0> scan 'user'

11.1.查询user表中列族为info的信息

1	hbase(main):033:0> scan 'user', {COLUMNS => 'info'}

1	hbase(main):033:0> scan 'user', {COLUMNS => 'info'}

1	hbase(main):034:0> scan 'user', {COLUMNS => 'info', RAW => true, VERSIONS => 5}

11.2.查询user表中列族为info和data的信息

1	hbase(main):035:0> scan 'user', {COLUMNS => ['info', 'data']}

1	hbase(main):036:0> scan 'user', {COLUMNS => ['info:name', 'data:pic']}

12.查询user表中列族为info.列标示符为name的信息

1	hbase(main):037:0> scan 'user', {COLUMNS => 'info:name'}

13.查询user表中列族为info.列标示符为name的信息,并且版本最新的5个

1	hbase(main):038:0> scan 'user', {COLUMNS => 'info:name', VERSIONS => 5}

14.查询user表中列族为info和data且列标示符中含有a字符的信息

1	hbase(main):041:0> scan 'user', {COLUMNS => ['info', 'data'], FILTER => "(QualifierFilter(=,'substring:a'))"}

15.查询user表中列族为info，rk范围是[rk0001, rk0003)的数据

1	hbase(main):050:0> scan 'user', {COLUMNS => 'info', STARTROW => 'rk0001', ENDROW => 'rk0003'}

16.查询user表中row key以rk字符开头的

1	hbase(main):051:0> scan 'user',{FILTER=>"PrefixFilter('rk')"}

17.查询user表中指定范围的数据

1	hbase(main):056:0* scan 'user', {TIMERANGE => [1458441570629, 1458441753608]}

18.删除数据

18.1.删除user表row key为rk0001，列标示符为info:name的数据

1	hbase(main):057:0> delete 'user', 'rk0001', 'info:name'

18.2.删除user表row key为rk0001，列标示符为info:name，timestamp为1392383705316的数据

1	hbase(main):059:0> delete 'user', 'rk0001', 'data:pic', 1458441753608

19.清空user表中的数据

1	hbase(main):060:0> truncate 'user'

20.修改表结构

20.1.首先停用user表（新版本不用）

1	hbase(main):061:0> disable 'user'

20.2.添加两个列族f1和f2

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hbase(main):062:0> alter 'user', NAME => 'f1'

hbase(main):063:0> alter 'user', NAME => 'f2'

20.3.启用表

1	hbase(main):064:0> enable 'user'

20.1.查看表结构

hbase(main):066:0> desc 'user'

disable ‘user’(新版本不用)

20.4.删除一个列族：

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alter 'user', NAME => 'f1', METHOD => 'delete' 或 alter 'user', 'delete' => 'f1'

hbase(main):067:0> alter 'user', NAME => 'f1', METHOD => 'delete'

20.1.添加列族f1同时删除列族f2

1	hbase(main):070:0> alter 'user', {NAME => 'f1'}, {NAME => 'f2', METHOD => 'delete'}

20.5.删除列族f1

1	hbase(main):071:0> alter 'user', 'delete' => 'f1'

20.6.将user表的f1列族版本号改为5

1	hbase(main):073:0> alter 'user', NAME => 'info', VERSIONS => 5

20.7.删除表

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hbase(main):074:0> disable 'user'

hbase(main):075:0> drop 'user'

在Hbase Shell中运行出错：

ERROR: java.util.concurrent.ExecutionException: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /hbase/.tmp/data/default/user/c5d0c0ae3199462216dbf4642987f4d5/.regioninfo could only be replicated to 0 nodes instead of minReplication (=1).  There are 3 datanode(s) running and no node(s) are excluded in this operation.


ERROR: Can't get master address from ZooKeeper; znode data == null
    重新格式化namenode。。。。