获取一行或者一个单元数据
hbase:001:0> help \'get\'
Get row or cell contents; pass table name, row, and optionally
a dictionary of column(s), timestamp, timerange and versions. Examples:
hbase> get \'ns1:t1\', \'r1\'
hbase> get \'t1\', \'r1\'
hbase> get \'t1\', \'r1\', {TIMERANGE => [ts1, ts2]}
hbase> get \'t1\', \'r1\', {COLUMN => \'c1\'}
hbase> get \'t1\', \'r1\', {COLUMN => [\'c1\', \'c2\', \'c3\']}
hbase> get \'t1\', \'r1\', {COLUMN => \'c1\', TIMESTAMP => ts1}
hbase> get \'t1\', \'r1\', {COLUMN => \'c1\', TIMERANGE => [ts1, ts2], VERSIONS => 4}
hbase> get \'t1\', \'r1\', {COLUMN => \'c1\', TIMESTAMP => ts1, VERSIONS => 4}
hbase> get \'t1\', \'r1\', {FILTER => "ValueFilter(=, \'binary:abc\')"}
hbase> get \'t1\', \'r1\', \'c1\'
hbase> get \'t1\', \'r1\', \'c1\', \'c2\'
hbase> get \'t1\', \'r1\', [\'c1\', \'c2\']
hbase> get \'t1\', \'r1\', {COLUMN => \'c1\', ATTRIBUTES => {\'mykey\'=>\'myvalue\'}}
hbase> get \'t1\', \'r1\', {COLUMN => \'c1\', AUTHORIZATIONS => [\'PRIVATE\',\'SECRET\']}
hbase> get \'t1\', \'r1\', {CONSISTENCY => \'TIMELINE\'}
hbase> get \'t1\', \'r1\', {CONSISTENCY => \'TIMELINE\', REGION_REPLICA_ID => 1}
Besides the default \'toStringBinary\' format, \'get\' also supports custom formatting by
column. A user can define a FORMATTER by adding it to the column name in the get
specification. The FORMATTER can be stipulated:
1. either as a org.apache.hadoop.hbase.util.Bytes method name (e.g, toInt, toString)
2. or as a custom class followed by method name: e.g. \'c(MyFormatterClass).format\'.
Example formatting cf:qualifier1 and cf:qualifier2 both as Integers:
hbase> get \'t1\', \'r1\' {COLUMN => [\'cf:qualifier1:toInt\',
\'cf:qualifier2:c(org.apache.hadoop.hbase.util.Bytes).toInt\'] }
Note that you can specify a FORMATTER by column only (cf:qualifier). You can set a
formatter for all columns (including, all key parts) using the "FORMATTER"
and "FORMATTER_CLASS" options. The default "FORMATTER_CLASS" is
"org.apache.hadoop.hbase.util.Bytes".
hbase> get \'t1\', \'r1\', {FORMATTER => \'toString\'}
hbase> get \'t1\', \'r1\', {FORMATTER_CLASS => \'org.apache.hadoop.hbase.util.Bytes\', FORMATTER => \'toString\'}
The same commands also can be run on a reference to a table (obtained via get_table or
create_table). Suppose you had a reference t to table \'t1\', the corresponding commands
would be:
hbase> t.get \'r1\'
hbase> t.get \'r1\', {TIMERANGE => [ts1, ts2]}
hbase> t.get \'r1\', {COLUMN => \'c1\'}
hbase> t.get \'r1\', {COLUMN => [\'c1\', \'c2\', \'c3\']}
hbase> t.get \'r1\', {COLUMN => \'c1\', TIMESTAMP => ts1}
hbase> t.get \'r1\', {COLUMN => \'c1\', TIMERANGE => [ts1, ts2], VERSIONS => 4}
hbase> t.get \'r1\', {COLUMN => \'c1\', TIMESTAMP => ts1, VERSIONS => 4}
hbase> t.get \'r1\', {FILTER => "ValueFilter(=, \'binary:abc\')"}
hbase> t.get \'r1\', \'c1\'
hbase> t.get \'r1\', \'c1\', \'c2\'
hbase> t.get \'r1\', [\'c1\', \'c2\']
hbase> t.get \'r1\', {CONSISTENCY => \'TIMELINE\'}
hbase> t.get \'r1\', {CONSISTENCY => \'TIMELINE\', REGION_REPLICA_ID => 1}
表中的数据
获取一行值：
hbase:043:0> get \'Student\',\'0001\'
COLUMN CELL
Grades:BigData timestamp=2021-07-19T20:31:39.473, value=80
Grades:Computer timestamp=2021-07-19T20:31:39.491, value=90
Grades:Math timestamp=2021-07-19T20:31:41.910, value=85
Stulnfo:Name timestamp=2021-07-19T20:32:27.004, value=Jim Green\x0A
1 row(s)
Took 0.0111 seconds
获取某一个列族的值
hbase:045:0> get \'Student\', \'0001\', {COLUMN => \'Grades\'}
COLUMN CELL
Grades:BigData timestamp=2021-07-19T20:31:39.473, value=80
Grades:Computer timestamp=2021-07-19T20:31:39.491, value=90
Grades:Math timestamp=2021-07-19T20:31:41.910, value=85
1 row(s)
Took 0.0074 seconds
hbase:046:0>
获取某个时间段的数据
hbase:046:0> get \'Student\', \'0001\', {COLUMN => \'Grades\',TIMERANGE =>[1626630169000,1626698581000]}
COLUMN CELL
Grades:BigData timestamp=2021-07-19T20:31:39.473, value=80
Grades:Computer timestamp=2021-07-19T20:31:39.491, value=90
Grades:Math timestamp=2021-07-19T20:31:41.910, value=85
1 row(s)
Took 0.0079 seconds
hbase:047:0>
获取3个版本的值
hbase:054:0> get \'Student\', \'0001\', {COLUMN => \'Grades\', VERSIONS => 3}
COLUMN CELL
Grades:BigData timestamp=2021-07-19T20:31:39.473, value=80
Grades:Computer timestamp=2021-07-19T20:31:39.491, value=90
Grades:Math timestamp=2021-07-19T20:31:41.910, value=85
1 row(s)
Took 0.0070 seconds
hbase:055:0>
获取某个大于某值的值
hbase:056:0> get \'Student\', \'0001\' ,{FILTER=>"ValueFilter(=, \'binary:80\')"}
COLUMN CELL
Grades:BigData timestamp=2021-07-19T20:31:39.473, value=80
1 row(s)
Took 0.0511 seconds
hbase:057:0> get \'Student\', \'0001\' ,{FILTER=>"ValueFilter(>, \'binary:80\')"}
COLUMN CELL
Grades:Computer timestamp=2021-07-19T20:31:39.491, value=90
Grades:Math timestamp=2021-07-19T20:31:41.910, value=85
Stulnfo:Name timestamp=2021-07-19T20:32:27.004, value=Jim Green\x0A
1 row(s)
Took 0.0049 seconds
hbase:058:0> get \'Student\', \'0001\' ,{FILTER=>"ValueFilter(>=, \'binary:80\')"}
COLUMN CELL
Grades:BigData timestamp=2021-07-19T20:31:39.473, value=80
Grades:Computer timestamp=2021-07-19T20:31:39.491, value=90
Grades:Math timestamp=2021-07-19T20:31:41.910, value=85
Stulnfo:Name timestamp=2021-07-19T20:32:27.004, value=Jim Green\x0A
1 row(s)
Took 0.0055 seconds
hbase:059:0>
获取某一列的值
hbase:063:0> get \'Student\', \'0001\', {COLUMN => \'Grades:Math\', VERSIONS => 3}
COLUMN CELL
Grades:Math timestamp=2021-07-19T20:31:41.910, value=85
1 row(s)
Took 0.0064 seconds
hbase:064:0>