hbase shell Filter
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数据：
hbase(main):046:0> scan 'hbaseFilter'ROW COLUMN+CELL row0 column=f:age, timestamp=1499150787863, value=age0 row0 column=f:name, timestamp=1499150787863, value=name0 row1 column=f:age, timestamp=1499150787875, value=age1 row1 column=f:name, timestamp=1499150787875, value=name1 row10 column=f2:age, timestamp=1499150787901, value=age10 row10 column=f2:name, timestamp=1499150787901, value=name10 row11 column=f2:age, timestamp=1499150787905, value=age11 row11 column=f2:name, timestamp=1499150787905, value=name11 row12 column=f2:age, timestamp=1499150787908, value=age12 row12 column=f2:name, timestamp=1499150787908, value=name12 row13 column=f2:age, timestamp=1499150787911, value=age13 row13 column=f2:name, timestamp=1499150787911, value=name13 row14 column=f2:age, timestamp=1499150787913, value=age14 row14 column=f2:name, timestamp=1499150787913, value=name14 row15 column=f2:age, timestamp=1499150787917, value=age15 row15 column=f2:name, timestamp=1499150787917, value=name15 row16 column=f2:age, timestamp=1499150787920, value=age16 row16 column=f2:name, timestamp=1499150787920, value=name16 row17 column=f2:age, timestamp=1499150787923, value=age17 row17 column=f2:name, timestamp=1499150787923, value=name17 row18 column=f2:age, timestamp=1499150787927, value=age18 row18 column=f2:name, timestamp=1499150787927, value=name18 row19 column=f2:age, timestamp=1499150787930, value=age19 row19 column=f2:name, timestamp=1499150787930, value=name19 row2 column=f:age, timestamp=1499150787879, value=age2 row2 column=f:name, timestamp=1499150787879, value=name2 row3 column=f:age, timestamp=1499150787882, value=age3 row3 column=f:name, timestamp=1499150787882, value=name3 row4 column=f:age, timestamp=1499150787885, value=age4 row4 column=f:name, timestamp=1499150787885, value=name4 row5 column=f:age, timestamp=1499150787888, value=age5 row5 column=f:name, timestamp=1499150787888, value=name5 row6 column=f:age, timestamp=1499150787890, value=age6 row6 column=f:name, timestamp=1499150787890, value=name6 row7 column=f:age, timestamp=1499150787893, value=age7 row7 column=f:name, timestamp=1499150787893, value=name7 row8 column=f:age, timestamp=1499150787896, value=age8 row8 column=f:name, timestamp=1499150787896, value=name8 row9 column=f:age, timestamp=1499150787898, value=age9 row9 column=f:name, timestamp=1499150787898, value=name9 20 row(s) in 0.1990 seconds
在hbase shell用show_filters命令查看一下可以用什么Filter。
hbase(main):009:0> show_filtersColumnPrefixFilter TimestampsFilter PageFilter MultipleColumnPrefixFilter FamilyFilter ColumnPaginationFilter SingleColumnValueFilter RowFilter QualifierFilter ColumnRangeFilter ValueFilter PrefixFilter SingleColumnValueExcludeFilter ColumnCountGetFilter InclusiveStopFilter DependentColumnFilter FirstKeyOnlyFilter KeyOnlyFilter
1.keyOnlyFilter
返回的列值全部为空。
import org.apache.hadoop.hbase.filter.KeyOnlyFilter;scan 'hbaseFilter', {FILTER=>KeyOnlyFilter.new()}ROW COLUMN+CELL row0 column=f:age, timestamp=1499150787863, value= row0 column=f:name, timestamp=1499150787863, value= row1 column=f:age, timestamp=1499150787875, value= row1 column=f:name, timestamp=1499150787875, value= row10 column=f2:age, timestamp=1499150787901, value=
2.FirstKeyOnlyFilter
返回的结果每行只有第一列
hbase(main):096:0> import org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter;hbase(main):097:0* scan 'hbaseFilter',{FILTER=>FirstKeyOnlyFilter.new()}ROW COLUMN+CELL row0 column=f:age, timestamp=1499150787863, value=age0 row1 column=f:age, timestamp=1499150787875, value=age1 row10 column=f2:age, timestamp=1499150787901, value=age10 row11 column=f2:age, timestamp=1499150787905, value=age11 row12 column=f2:age, timestamp=1499150787908, value=age12 3.PrefixFilter
根据行的前缀过滤行。
hbase(main):106:0> import org.apache.hadoop.hbase.filter.PrefixFilter;hbase(main):107:0* import org.apache.hadoop.hbase.util.Bytes;hbase(main):108:0* scan 'hbaseFilter',{FILTER=>PrefixFilter.new(Bytes.toBytes('row3'))}ROW COLUMN+CELL row3 column=f:age, timestamp=1499150787882, value=age3 row3 column=f:name, timestamp=1499150787882, value=name3 1 row(s) in 0.1670 seconds4.ColumnPrefixFilter
返回满足条件的列
hbase(main):113:0> import org.apache.hadoop.hbase.filter.ColumnPrefixFilter;hbase(main):114:0* import org.apache.hadoop.hbase.util.Bytes;hbase(main):115:0* scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>ColumnPrefixFilter.new(Bytes.toBytes('n'))}ROW COLUMN+CELL row0 column=f:name, timestamp=1499150787863, value=name0 row1 column=f:name, timestamp=1499150787875, value=name1 row10 column=f2:name, timestamp=1499150787901, value=name10 row11 column=f2:name, timestamp=1499150787905, value=name11 row12 column=f2:name, timestamp=1499150787908, value=name12 row13 column=f2:name, timestamp=1499150787911, value=name13 5.multipleColumnPrefixFilter
根据列名得前缀过滤，有范围，下面是列名‘a’开始到‘b’结束。
hbase(main):011:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"MultipleColumnPrefixFilter('a','b')"}ROW COLUMN+CELL row0 column=f:age, timestamp=1499150787863, value=age0 row1 column=f:age, timestamp=1499150787875, value=age1 row10 column=f2:age, timestamp=1499150787901, value=age10 row11 column=f2:age, timestamp=1499150787905, value=age11 row12 column=f2:age, timestamp=1499150787908, value=age12 6.ColumnCountGetFilter
返回多少列。
hbase(main):012:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"ColumnCountGetFilter(2)"}ROW COLUMN+CELL row0 column=f:age, timestamp=1499150787863, value=age0 row0 column=f:name, timestamp=1499150787863, value=name0 row1 column=f:age, timestamp=1499150787875, value=age1 row1 column=f:name, timestamp=1499150787875, value=name1 row10 column=f2:age, timestamp=1499150787901, value=age10 row10 column=f2:name, timestamp=1499150787901, value=name10 row11 column=f2:age, timestamp=1499150787905, value=age11 row11 column=f2:name, timestamp=1499150787905, value=name11 row12 column=f2:age, timestamp=1499150787908, value=age12 row12 column=f2:name, timestamp=1499150787908, value=name12 7. PageFilter
返回多少行
hbase(main):013:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"PageFilter(3)"}ROW COLUMN+CELL row0 column=f:age, timestamp=1499150787863, value=age0 row0 column=f:name, timestamp=1499150787863, value=name0 row1 column=f:age, timestamp=1499150787875, value=age1 row1 column=f:name, timestamp=1499150787875, value=name1 row10 column=f2:age, timestamp=1499150787901, value=age10 row10 column=f2:name, timestamp=1499150787901, value=name10 3 row(s) in 0.1680 seconds8. ColumnPaginationFilter
根据limit和offset得到数据
hbase(main):014:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"ColumnPaginationFilter(2,1)"}ROW COLUMN+CELL row0 column=f:name, timestamp=1499150787863, value=name0 row1 column=f:name, timestamp=1499150787875, value=name1 row10 column=f2:name, timestamp=1499150787901, value=name10 row11 column=f2:name, timestamp=1499150787905, value=name11 row12 column=f2:name, timestamp=1499150787908, value=name12 row13 column=f2:name, timestamp=1499150787911, value=name13 9. InclusiveStopFilter
设置停止的行
hbase(main):015:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"InclusiveStopFilter('row15')"}ROW COLUMN+CELL row0 column=f:age, timestamp=1499150787863, value=age0 row0 column=f:name, timestamp=1499150787863, value=name0 row1 column=f:age, timestamp=1499150787875, value=age1 row1 column=f:name, timestamp=1499150787875, value=name1 row10 column=f2:age, timestamp=1499150787901, value=age10 row10 column=f2:name, timestamp=1499150787901, value=name10 row11 column=f2:age, timestamp=1499150787905, value=age11 row11 column=f2:name, timestamp=1499150787905, value=name11 row12 column=f2:age, timestamp=1499150787908, value=age12 row12 column=f2:name, timestamp=1499150787908, value=name12 row13 column=f2:age, timestamp=1499150787911, value=age13 row13 column=f2:name, timestamp=1499150787911, value=name13 row14 column=f2:age, timestamp=1499150787913, value=age14 row14 column=f2:name, timestamp=1499150787913, value=name14 row15 column=f2:age, timestamp=1499150787917, value=age15 row15 column=f2:name, timestamp=1499150787917, value=name15 8 row(s) in 0.2250 seconds10. TimeStampsFilter
返回指定时间戳的数据
hbase(main):016:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"TimestampsFilter(1499150787875,1499150787913)"}ROW COLUMN+CELL row1 column=f:age, timestamp=1499150787875, value=age1 row1 column=f:name, timestamp=1499150787875, value=name1 row14 column=f2:age, timestamp=1499150787913, value=age14 row14 column=f2:name, timestamp=1499150787913, value=name14 2 row(s) in 0.0340 seconds11.RowFilter
根据rowkey的值过滤
hbase(main):018:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"RowFilter(>=,'binary:row6')"}ROW COLUMN+CELL row6 column=f:age, timestamp=1499150787890, value=age6 row6 column=f:name, timestamp=1499150787890, value=name6 row7 column=f:age, timestamp=1499150787893, value=age7 row7 column=f:name, timestamp=1499150787893, value=name7 row8 column=f:age, timestamp=1499150787896, value=age8 row8 column=f:name, timestamp=1499150787896, value=name8 row9 column=f:age, timestamp=1499150787898, value=age9 row9 column=f:name, timestamp=1499150787898, value=name9 4 row(s) in 0.2340 seconds12. FamilyFilter
根据列族过滤
hbase(main):020:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"FamilyFilter(=,'substring:f')"}ROW COLUMN+CELL row0 column=f:age, timestamp=1499150787863, value=age0 row0 column=f:name, timestamp=1499150787863, value=name0 row1 column=f:age, timestamp=1499150787875, value=age1 row1 column=f:name, timestamp=1499150787875, value=name1 row10 column=f2:age, timestamp=1499150787901, value=age10 row10 column=f2:name, timestamp=1499150787901, value=name10 row11 column=f2:age, timestamp=1499150787905, value=age11 row11 column=f2:name, timestamp=1499150787905, value=name11 13. QualifierFilter
根据列名过滤
hbase(main):023:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"QualifierFilter(=,'regexstring:n.')"}ROW COLUMN+CELL row0 column=f:name, timestamp=1499150787863, value=name0 row1 column=f:name, timestamp=1499150787875, value=name1 row10 column=f2:name, timestamp=1499150787901, value=name10 row11 column=f2:name, timestamp=1499150787905, value=name11 row12 column=f2:name, timestamp=1499150787908, value=name12 row13 column=f2:name, timestamp=1499150787911, value=name13 14. ValueFilter
根据值过滤，只返回匹配的列
hbase(main):024:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"ValueFilter(=,'binary:name3')"}ROW COLUMN+CELL row3 column=f:name, timestamp=1499150787882, value=name3 1 row(s) in 0.0140 seconds15. SingleColumnValueFilter
根据列值返回行
hbase(main):035:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',COLUMN=>'f',FILTER=>"SingleColumnValueFilter('f','name',>=,'binary:name3')"}ROW COLUMN+CELL row3 column=f:age, timestamp=1499150787882, value=age3 row3 column=f:name, timestamp=1499150787882, value=name3 row4 column=f:age, timestamp=1499150787885, value=age4 row4 column=f:name, timestamp=1499150787885, value=name4 row5 column=f:age, timestamp=1499150787888, value=age5 row5 column=f:name, timestamp=1499150787888, value=name5 row6 column=f:age, timestamp=1499150787890, value=age6 row6 column=f:name, timestamp=1499150787890, value=name6 row7 column=f:age, timestamp=1499150787893, value=age7 row7 column=f:name, timestamp=1499150787893, value=name7 row8 column=f:age, timestamp=1499150787896, value=age8 row8 column=f:name, timestamp=1499150787896, value=name8 row9 column=f:age, timestamp=1499150787898, value=age9 row9 column=f:name, timestamp=1499150787898, value=name9 7 row(s) in 0.1520 seconds16.使用AND
相当于FilterList的FilterList.Operator.MUST_PASS_ALL。
hbase(main):042:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"(FamilyFilter(=,'substring:f')) AND (ValueFilter(>,'binary:name6'))"}ROW COLUMN+CELL row7 column=f:name, timestamp=1499150787893, value=name7 row8 column=f:name, timestamp=1499150787896, value=name8 row9 column=f:name, timestamp=1499150787898, value=name9 3 row(s) in 0.0100 seconds17.使用OR
相当于FilterList的FilterList.Operator.MUST_PASS_ONE。
hbase(main):044:0> scan 'hbaseFilter',{STARTROW=>'row0',STOPROW=>'row99',FILTER=>"(FamilyFilter(=,'substring:f')) AND (ValueFilter(>,'binary:name6')) OR (FamilyFilter(=,'substring:f2')) AND (ValueFilter(>,'binary:name17'))"}ROW COLUMN+CELL row18 column=f2:name, timestamp=1499150787927, value=name18 row19 column=f2:name, timestamp=1499150787930, value=name19 row7 column=f:name, timestamp=1499150787893, value=name7 row8 column=f:name, timestamp=1499150787896, value=name8 row9 column=f:name, timestamp=1499150787898, value=name9 5 row(s) in 0.1450 seconds推荐一个网址http://www.hadooptpoint.org/filters-in-hbase-shell/#codesyntax_3
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