1.创建一个Rumenz表
// 创建了两个列族user和depart
> ./bin/hbase shell
> create 'Rumenz','user','depart'
2.插入数据
> put 'Rumenz','user|id1','user:name','张三'
> put 'Rumenz','user|id1','depart:name','开发部'
> put 'Rumenz','user|id2','user:name','王五'
> put 'Rumenz','user|id2','depart:name','市场部'
> put 'Rumenz','user|tsc','user:name','入门'
> put 'Rumenz','user1|id1','user:name','小站'
3.找出值为张三的记录
> scan 'Rumenz',FILTER=>"ValueFilter(=,'binary:张三')"
4.找出值中包含部字的记录
> scan 'Rumenz',FILTER=>"ValueFilter(=,'substring:部')"
5.找出列名以dep开头的记录
> scan 'Rumenz',FILTER=>"ColumnPrefixFilter('dep')"
6.找出列名以ts开头并且值为入门的值
> scan 'Rumenz',FILTER=>"ColumnPrefixFilter('ts') AND ValueFilter(=,'binary:入门')"
7.找出rowkey以user1开头
> scan 'Rumenz',FILTER=>"PrefixFilter('user1')"
8.一个rowkey可能有会多个版本,通过FirstKeyOnlyFilter可以获取最新版本的数据.获取最新数据中值中包含部的数据
> scan 'Rumenz',FILTER=>"FirstKeyOnlyFilter() and ValueFilter(=,'substring:部')"
9.一个rowkey可能有会多个版本,通过FirstKeyOnlyFilter可以获取最新版本的数据.获取最新数据中值中包含部的数据并且只返回key不需要value
> scan 'Rumenz',FILTER=>"FirstKeyOnlyFilter() and ValueFilter(=,'substring:部') AND KeyOnlyFilter()"
10.从user|id2行开始,查询rowkey以user开头的数据
> sacn 'Rumenz',{STARTROW=>'user|id2',FILTER=>"PrefixFilter('user')"}
11.查找rowkey中包含id的数据
> scan 'Rumenz', {FILTER => RowFilter.new(CompareFilter::CompareOp.valueOf('EQUAL'), SubstringComparator.new('id'))}
12.查找user:name列值为王五的数据并只显示user:name列
//显示多个列使用COLUMNS => ['user:name','xxxx']
>scan 'Rumenz', {COLUMNS => 'user:name', FILTER => SingleColumnValueFilter.new(Bytes.toBytes('u
