,//,通过将运营商参数设置为Operator.MUST_PASS_ONE,达到列表中各过滤器为“或”的关系,,或 ,//默认运营商参数的值为Operator.MUST_PASS_ALL,即列表中各过滤器为“并”的关系,,,,,,, ,,,FilterList f=new FilterList (FilterList.Operator.MUST_PASS_ONE);
1,比较过滤器
,,1.1 RowFilter大敌;,√
1.2 FamilyFilter√
,,1.3 QualifierFilter大敌;,√
,,,1.4 ValueFilter√
,,,1.5 DependentColumnFilter×
2,专用过滤器
,,,2.1 SingleColumnValueFilter×
,,,2.2 SingleColumnValueExcludeFilter×
,,,2.3 PrefixFilter×
,,,2.4 PageFilter×
,,,2.5 KeyOnlyFilter×
,,,2.6 FirstKeyOnlyFilter×
,,,2.7 TimestampsFilter×
,,,2.8 RandomRowFilter×
3,装饰过滤器
,,,3.1 SkipFilter×
,,,3.2 WhileMatchFilters×
<强> 1.1,RowFilter 强>,
格式:RowFilter (CompareFilter。CompareOp rowCompareOp, ByteArrayComparable rowComparator)
描述
小少于
LESS_OR_EQUAL小于等于
=等于
NOT_EQUAL不等于
GREATER_OR_EQUAL大于等于
更大于
NO_OP排除所有
BinaryComparator, BinaryPrefixComparator, BitComparator, LongComparator, NullComparator, RegexStringComparator, SubstringComparator
例子:过滤器过滤=new RowFilter (CompareOp。相同的情况下,新的BinaryComparator (Bytes.toBytes (RowKey))
相关的过滤方法使用:
提取RowKey以01结尾数据——正则表达式
=new RowFilter (CompareFilter.CompareOp过滤器过滤器。相同的情况下,新RegexStringComparator (”。* 01 $ "));
提取rowkey以包含201407的数据
=new RowFilter (CompareFilter.CompareOp过滤器过滤器。相同的情况下,新SubstringComparator (" 201407 "));
提取rowkey以123开头的数据
=new RowFilter (CompareFilter.CompareOp过滤器过滤器。相同的情况下,新的BinaryPrefixComparator (“123”.getBytes ()));
提取rowkey小于等于row010的行
过滤器filter1=new RowFilter (CompareFilter.CompareOp。LESS_OR_EQUAL,新的BinaryComparator (row010 .getBytes ()));
, <强> 1.2,FamilyFilter(同上)强>
<强> 1.3,QualifierFilter(同上)强> - - - - - - - - - -当列为数字,不管用了?为什么- - - - - - - - - -
<强> 1.4,ValueFilter(同上)强>
<强> 1.5,DependentColumnFilter 强>,,未完待续!