1、首先给出本次操作的数据
create 'student','info','address' put 'student','1','info:age','20' put 'student','1','info:name','wang' put 'student','1','info:class','1' put 'student','1','address:city','zhengzhou' put 'student','1','address:area','High-tech zone' put 'student','2','info:age','21' put 'student','2','info:name','yang' put 'student','2','info:class','1' put 'student','2','address:city','beijing' put 'student','2','address:area','CBD' put 'student','3','info:age','22' put 'student','3','info:name','zhao' put 'student','3','info:class','2' put 'student','3','address:city','shanghai' put 'student','3','address:area','pudong' scan 'student'
2、首先执行，创建表，增加数据操作，执行脚本 /bin/hbase shell ./student.txt,然后查看内容 scan ‘student'
hbase(main):001:0> scan 'student' ROW COLUMN+CELL 1 column=address:area, timestamp=1491533426260, value=High-tech zone 1 column=address:city, timestamp=1491533426239, value=zhengzhou 1 column=info:age, timestamp=1491533426179, value=20 1 column=info:class, timestamp=1491533426218, value=1 1 column=info:name, timestamp=1491533426211, value=wang 2 column=address:area, timestamp=1491533426297, value=CBD 2 column=address:city, timestamp=1491533426292, value=beijing 2 column=info:age, timestamp=1491533426269, value=21 2 column=info:class, timestamp=1491533426287, value=1 2 column=info:name, timestamp=1491533426277, value=yang 3 column=address:area, timestamp=1491533426329, value=pudong 3 column=address:city, timestamp=1491533426323, value=shanghai 3 column=info:age, timestamp=1491533426305, value=22 3 column=info:class, timestamp=1491533426317, value=2 3 column=info:name, timestamp=1491533426311, value=zhao 3 row(s) in 0.1940 seconds
3、修改操作 也是用put命令，就是重新添加内容把，把以前的内容覆盖。
格式 put 't1', 'r1', 'c1', 'value'
命令 put 'student','1','info:age','18'
结果 hbase(main):010:0> get 'student','1' COLUMN CELL address:area timestamp=1491533426260, value=High-tech zone address:city timestamp=1491533426239, value=zhengzhou info:age timestamp=1491533823331, value=18 info:class timestamp=1491533426218, value=1 info:name timestamp=1491533426211, value=wang 5 row(s) in 0.0110 seconds
4、删除操作，分为删除单元格的内容，和整行删除
单元格
hbase(main):012:0> delete 'student','1','info:name' 0 row(s) in 0.0800 seconds hbase(main):014:0> get 'student','1' COLUMN CELL address:area timestamp=1491533426260, value=High-tech zone address:city timestamp=1491533426239, value=zhengzhou info:age timestamp=1491533823331, value=18 info:class timestamp=1491533426218, value=1 4 row(s) in 0.0120 seconds
整行
hbase(main):023:0> deleteall 'student','1' 0 row(s) in 0.0260 seconds hbase(main):024:0> get 'student','1' COLUMN CELL 0 row(s) in 0.0070 seconds
5、查询
单行查询
hbase(main):026:0> get 'student','2' COLUMN CELL address:area timestamp=1491533426297, value=CBD address:city timestamp=1491533426292, value=beijing info:age timestamp=1491533426269, value=21 info:class timestamp=1491533426287, value=1 info:name timestamp=1491533426277, value=yang 5 row(s) in 0.0190 seconds
指定列族
hbase(main):028:0> get 'student', '2', {COLUMN => 'info'}
COLUMN CELL
info:age timestamp=1491533426269, value=21
info:class timestamp=1491533426287, value=1
info:name timestamp=1491533426277, value=yang
3 row(s) in 0.0150 seconds
指定列名
hbase(main):029:0> get 'student', '2', {COLUMN => 'info:age'}
COLUMN CELL
info:age timestamp=1491533426269, value=21
1 row(s) in 0.0080 seconds
使用scan，指定startrow
hbase(main):031:0> scan 'student', {COLUMNS => ['info:age', 'address'], LIMIT => 10, STARTROW => '2'}
ROW COLUMN+CELL
2 column=address:area, timestamp=1491533426297, value=CBD
2 column=address:city, timestamp=1491533426292, value=beijing
2 column=info:age, timestamp=1491533426269, value=21
3 column=address:area, timestamp=1491533426329, value=pudong
3 column=address:city, timestamp=1491533426323, value=shanghai
3 column=info:age, timestamp=1491533426305, value=22
2 row(s) in 0.0190 seconds
scan指定过滤
hbase(main):005:0> scan 'student',{FILTER=>"(TimestampsFilter (1491533426297))"}
ROW COLUMN+CELL
2 column=address:area, timestamp=1491533426297, value=CBD
1 row(s) in 0.0170 seconds
以上这篇HBASE 常用shell命令,增删改查方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。
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