put ‘test1’, ‘user1_ts1’, ‘f:c1’, ‘sku1’
put ‘test1’, ‘user1_ts2’, ‘f:c1’, ‘sku188’
put ‘test1’, ‘user1_ts3’, ‘f:s1’, ‘sku123’
put ‘test1’, ‘user2_ts4’, ‘f:c1’, ‘sku2’
put ‘test1’, ‘user2_ts5’, ‘f:c2’, ‘sku288’
put ‘test1’, ‘user2_ts6’, ‘f:s1’, ‘sku222’
```
1. 扫描值等于sku188的记录
scan 'test1', FILTER=>"ValueFilter(=,'binary:sku188')"
ROW COLUMN+CELL
user1_ts2 column=f:c1, timestamp=1589192112394, value=sku188
1 row(s) in 1.5920 seconds
2. 扫描值包含88的记录
scan 'test1', FILTER=>"ValueFilter(=,'substring:88')"
ROW COLUMN+CELL
user1_ts2 column=f:c1, timestamp=1589192112394, value=sku188
user2_ts5 column=f:c2, timestamp=1589192112472, value=sku288
2 row(s) in 13.9120 seconds
3. 扫描列名包含’c2’, 而且列值包含’88’的记录
scan 'test1', FILTER=>"ColumnPrefixFilter('c2') AND ValueFilter(=,'substring:88')"
ROW COLUMN+CELL
user2_ts5 column=f:c2, timestamp=1589192112472, value=sku288
1 row(s) in 1.5880 seconds
4. 扫描列名包含’c’, 而且列值包含’88’的记录
scan 'test1', FILTER=>"ColumnPrefixFilter('c') AND ValueFilter(=,'substring:88')"
ROW COLUMN+CELL
user1_ts2 column=f:c1, timestamp=1589192112394, value=sku188
user2_ts5 column=f:c2, timestamp=1589192112472, value=sku288
2 row(s) in 3.1850 seconds
5. 扫描列名包含’s’且有列值包含’123’, 或者列值包含’222’的记录
scan 'test1', FILTER=>"ColumnPrefixFilter('s') AND ( ValueFilter(=,'substring:123') OR ValueFilter(=,'substring:222') )"
ROW COLUMN+CELL
user1_ts3 column=f:s1, timestamp=1589192112432, value=sku123
user2_ts6 column=f:s1, timestamp=1589192114562, value=sku222
2 row(s) in 1.4670 seconds
6. 扫描rowkey前缀为’user1’的记录
scan 'test1', FILTER => "PrefixFilter ('user1')"
ROW COLUMN+CELL
user1_ts1 column=f:c1, timestamp=1589192122941, value=sku1
user1_ts2 column=f:c1, timestamp=1589192112394, value=sku188
user1_ts3 column=f:s1, timestamp=1589192112432, value=sku123
3 row(s) in 19.6350 seconds
7*. 待续整理:
https://www.cnblogs.com/hit-zb/p/9711879.html
转载请注明来源，欢迎对文章中的引用来源进行考证，欢迎指出任何有错误或不够清晰的表达。可以在下面评论区评论，也可以邮件至 hi@niewj.com
