HBase之过滤器

其他 2018-08-08 10:06:20 阅读次数: 0

 

filter ==> SQL 中的Where

filter的执行流程：

过滤器在客户端创建,然后通过RPC发送到服务器上,由服务器执行

基础过滤器：
 

比较器：

Comparator 

Description 

LongComparator

Assumes the given value array is a Java Long number and uses Bytes.toLong() to convert it. 

BinaryComparator

Uses Bytes.compareTo() to compare 当前值与阀值

BinaryPrefixComparator

Bytes.compareTo() 进行匹配，但是从左端开始前缀匹配

NullComparator

判断当前值是否为null

BitComparator

Performs a bitwise comparison, providing a BitwiseOp enumeration with AND, OR, and XOR operators. 

RegexStringComparator

正则表达式匹配

SubstringComparator

子字符串比对
  •  RowFilter 行键过滤器：
 

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.hbase.HBaseConfiguration;

import org.apache.hadoop.hbase.TableName;

import org.apache.hadoop.hbase.client.*;

import org.apache.hadoop.hbase.filter.*;

import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;

/**

 * 基于行键上的过滤器

 */

public class FilterInHbase {

    public static void main(String[] args) throws IOException{

        Configuration configuration = HBaseConfiguration.create();

        Connection connection = ConnectionFactory.createConnection(configuration);

        //建立user表的连接

        Table table =connection.getTable(TableName.valueOf("user"));

        Scan scan=new Scan();

        //扫描列族info 列age

        scan.addColumn(Bytes.toBytes("info"),Bytes.toBytes("age"));

        System.out.println("行过滤器");

        //比较过滤器

        //这儿是指找出行小于或者等于"510824118261011172"的所有行

        Filter filter1 = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL, new BinaryComparator(Bytes.toBytes("813782218261011172")));

        //添加过滤器到扫描器中

        scan.setFilter(filter1);

        ResultScanner scanner1 = table.getScanner(scan);

        for(Result res:scanner1){

            System.out.println(res);

        }

        scanner1.close();

        System.out.println("正则过滤器");

        //正则过滤器

        //过滤行键以2结束的

        Filter filter2 = new RowFilter(CompareFilter.CompareOp.EQUAL,

                new RegexStringComparator(".*2$")

                );

        scan.setFilter(filter2);

        ResultScanner scanner2 = table.getScanner(scan);

        for (Result res:scanner2){

            System.out.println(res);

        }

        scanner2.close();

        //子串过滤器

        //过滤行键中包含了"61826"这个字符串

        System.out.println("子串过滤器");

        Scan scan3=new Scan();

        //扫描列族info 列age

        scan3.addColumn(Bytes.toBytes("info"),Bytes.toBytes("age"));

        Filter filter3=new RowFilter(CompareFilter.CompareOp.EQUAL,

                new SubstringComparator("61826")

                );

        scan3.setFilter(filter3);

        ResultScanner scanner3=table.getScanner(scan3);

        for(Result res:scanner3){

            System.out.println(res);

        }

        scanner3.close();

        table.close();

        connection.close();

    }

}

/**

Result:

 行过滤器 < 813782218261011172

 keyvalues={224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0}

 keyvalues={510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0}

 keyvalues={524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0}

 keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0}

 keyvalues={813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0}

 正则过滤器 已2结尾的行键

 keyvalues={510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0}

 keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0}

 keyvalues={813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0}

 子串过滤器 包含了"61826"的行键

 keyvalues={224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0}

 keyvalues={524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0}

 keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0}

 **/
  • FamilyFilter列族过滤器：
 

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.hbase.HBaseConfiguration;

import org.apache.hadoop.hbase.TableName;

import org.apache.hadoop.hbase.client.*;

import org.apache.hadoop.hbase.filter.BinaryComparator;

import org.apache.hadoop.hbase.filter.CompareFilter;

import org.apache.hadoop.hbase.filter.FamilyFilter;

import org.apache.hadoop.hbase.filter.Filter;

import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;

/**

 * 列族过滤器

 * 比较列族来返回结果

 * 用户可以在列族一级筛选所需数据

 */

public class FamilyFilterInHbase {

    public static void main(String[] args) throws IOException {

        Configuration configuration = HBaseConfiguration.create();

        Connection connection = ConnectionFactory.createConnection(configuration);

        //建立表的连接

        Table table = connection.getTable(TableName.valueOf("user"));

        //比较过滤器 现在表有2个列族 info  ship 当然实际有可能很多哦

        //取info < "kiss" <ship < "wings"

        Filter filter1 = new FamilyFilter(CompareFilter.CompareOp.GREATER, new BinaryComparator(Bytes.toBytes("kiss")));

        Scan scan = new Scan();

        scan.setFilter(filter1);

        ResultScanner scanner = table.getScanner(scan);

        for (Result result : scanner){

           System.out.println(result);

        }

        scanner.close();

        Get get1 = new Get(Bytes.toBytes("673782618261019142"));

        get1.setFilter(filter1);

        Result result1=table.get(get1);

        System.out.println("Result of get1(): " + result1);

        //添加列族过滤器 info

        Filter filter2= new FamilyFilter(CompareFilter.CompareOp.EQUAL,new BinaryComparator(Bytes.toBytes("info")));

        //获取一行数据

        Get get2 = new Get(Bytes.toBytes("673782618261019142"));

        //但是get列族ship 那么==>> Result of get():keyvalues=NONE  [本身冲突 所以无数据]

        //如果get列族info 那么==>> Result of get2():keyvalues={673782618261019142/...

        get2.addFamily(Bytes.toBytes("ship"));

        get2.setFilter(filter2);

        Result result2 =table.get(get2);

        System.out.println("Result of get2():"+result2);

        scanner.close();

        table.close();

        connection.close();

    }

}

/**

 LESS "kiss"

 keyvalues={224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0}

 keyvalues={510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0}

 keyvalues={524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0}

 keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0}

 keyvalues={813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0}

 GREATER "kiss"

 keyvalues={224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0}

 keyvalues={510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0}

 keyvalues={524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0}

 keyvalues={673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0}

 keyvalues={813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0}

 APPEND(LESS "kiss")

 Result of get(): keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0}

 APPEND(GREATER "kiss")

 Result of get1(): keyvalues={673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0}

 //filter "info" get "ship"  

 Result of get():keyvalues=NONE

 //filter "info" get "info"

 Result of get2():keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0}

 **/
  •  ValueFilter值过滤器：

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.hbase.Cell;

import org.apache.hadoop.hbase.HBaseConfiguration;

import org.apache.hadoop.hbase.TableName;

import org.apache.hadoop.hbase.client.*;

import org.apache.hadoop.hbase.filter.*;

import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;

/**

 * 值过滤器

 * 根据值进行筛选 可以联合RegexStringComparator 进行设计

 */

public class FilterOfValue {

    public static void main(String[] args) throws IOException {

        Configuration configuration = HBaseConfiguration.create();

        Connection connection = ConnectionFactory.createConnection(configuration);

        //建立表的连接

        Table table = connection.getTable(TableName.valueOf("user"));

        //值中包含了177的过滤器

        Filter filter = new ValueFilter(CompareFilter.CompareOp.EQUAL,

                new SubstringComparator("1771392142")

                );

        Scan scan = new Scan();

        scan.setFilter(filter);

        ResultScanner scanner = table.getScanner(scan);

        for (Result result : scanner){

            for (Cell cell:result.rawCells()){

                System.out.println("Cell: "+cell+", Value: "+Bytes.toString(cell.getValueArray(),cell.getValueLength()));

            }

        }

        scanner.close();

        Get get1 = new Get(Bytes.toBytes("673782618261019142"));

        get1.setFilter(filter);

        Result result1=table.get(get1);

        for (Cell cell : result1.rawCells()) {

            System.out.println("Get1 Cell: " + cell + ", Value: " +

                    Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                            cell.getValueLength()));

        }

        Get get2 = new Get(Bytes.toBytes("813782218261011172"));

        get2.setFilter(filter);

        Result result2=table.get(get2);

        for (Cell cell : result2.rawCells()) {

            System.out.println("Get2 Cell: " + cell + ", Value: " +

                    Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                            cell.getValueLength()));

        }

        table.close();

        connection.close();

    }

}

/**

 原数据:                                                                               

 673782618261019142                              column=info:phone, timestamp=1472196211956, value=17713921424                                                                               

 813782218261011172                              column=info:phone, timestamp=1472196212713, value=12713921424

 *输出结果:

 Cell: 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, Value: 73782618261019142infophoneVŻt�17713921424

 Get1 Cell: 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, Value: 17713921424

**/
  • DependentColumnFilter 参考列过滤器

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.hbase.Cell;

import org.apache.hadoop.hbase.HBaseConfiguration;

import org.apache.hadoop.hbase.TableName;

import org.apache.hadoop.hbase.client.*;

import org.apache.hadoop.hbase.filter.*;

import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;

/**

 * 参考列过滤器

 * 根据列名进行筛选

 */

public class FilterOfDependentColumnFilter {

    private static Table table=null;

    public static Table getTable() {

        if(table==null){

            try {

                Configuration configuration = HBaseConfiguration.create();

                Connection connection = ConnectionFactory.createConnection(configuration);

                //建立表的连接

                return connection.getTable(TableName.valueOf("user"));

            }catch (IOException e){

                return table;

            }

        }

        return table;

    }

    public static void filter(boolean drop,CompareFilter.CompareOp oper,ByteArrayComparable comparable) throws IOException {

        Filter filter;

        if (comparable != null) {

            filter = new DependentColumnFilter(Bytes.toBytes("info"), Bytes.toBytes("phone"), drop, oper, comparable);

        } else {

            filter = new DependentColumnFilter(Bytes.toBytes("info"), Bytes.toBytes("phone"), drop);

        }

        Scan scan = new Scan();

        scan.setFilter(filter);

        ResultScanner scanner = getTable().getScanner(scan);

        for (Result result : scanner) {

            for (Cell cell : result.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

        }

        scanner.close();

        Get get = new Get(Bytes.toBytes("673782618261019142"));

        get.setFilter(filter);

        Result result = getTable().get(get);

        for (Cell cell : result.rawCells()) {

            System.out.println("Cell: " + cell + ", Value: " +

                    Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                            cell.getValueLength()));

        }

    }

    public static void main(String[] args) throws IOException {

        filter(true, CompareFilter.CompareOp.NO_OP, null);

        filter(false, CompareFilter.CompareOp.NO_OP, null);

        filter(true, CompareFilter.CompareOp.EQUAL,

                new BinaryPrefixComparator(Bytes.toBytes("17713921424")));

        filter(false, CompareFilter.CompareOp.EQUAL,

                new BinaryPrefixComparator(Bytes.toBytes("17713921424")));

        filter(true, CompareFilter.CompareOp.EQUAL,

                new RegexStringComparator(".*\\.5"));

        filter(false, CompareFilter.CompareOp.EQUAL,

                new RegexStringComparator(".*\\.5"));

    }

}

/**

 **/
  • PrefixFilter 前缀过滤器：
 

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.hbase.Cell;

import org.apache.hadoop.hbase.HBaseConfiguration;

import org.apache.hadoop.hbase.TableName;

import org.apache.hadoop.hbase.client.*;

import org.apache.hadoop.hbase.filter.*;

import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;

/**

 * 前缀过滤器

 * 根据行键的前缀进行过滤

 */

public class FilterOfPrefixFilter {

    public static void main(String[] args) throws IOException {

        Configuration configuration = HBaseConfiguration.create();

        Connection connection = ConnectionFactory.createConnection(configuration);

        //建立表的连接

        Table table = connection.getTable(TableName.valueOf("user"));

        Filter filter = new PrefixFilter(Bytes.toBytes("510824"));

        Scan scan = new Scan();

        scan.setFilter(filter);

        ResultScanner scanner = table.getScanner(scan);

        for (Result result : scanner) {

            for (Cell cell : result.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            } }

        scanner.close();

        Get get = new Get(Bytes.toBytes("row-5"));

        get.setFilter(filter);

        Result result = table.get(get);

        for (Cell cell : result.rawCells()) {

            System.out.println("Cell: " + cell + ", Value: " +

                    Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                            cell.getValueLength()));

        }

        scanner.close();

        table.close();

        connection.close();

    }

}

/**

 Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188

 Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang

 Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626

 Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138

 Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai

 Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: [email protected]

 Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000

**/
  •  PageFilter 分页过滤器

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.hbase.Cell;

import org.apache.hadoop.hbase.HBaseConfiguration;

import org.apache.hadoop.hbase.TableName;

import org.apache.hadoop.hbase.client.*;

import org.apache.hadoop.hbase.filter.Filter;

import org.apache.hadoop.hbase.filter.PageFilter;

import org.apache.hadoop.hbase.filter.PrefixFilter;

import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;

/**

 * 分页过滤器

 */

public class FilterOfPage {

    private static final byte[] POSTFIX = new byte[] { 0x00 };

    public static void main(String[] args) throws IOException {

        Configuration configuration = HBaseConfiguration.create();

        Connection connection = ConnectionFactory.createConnection(configuration);

        //建立表的连接

        Table table = connection.getTable(TableName.valueOf("user"));

        //分页大小

        Filter filter = new PageFilter(3);

        int totalRows = 0;

        byte[] lastRow = null;

        while (true) {

            Scan scan = new Scan();

            scan.setFilter(filter);

            if (lastRow != null) {

                byte[] startRow = Bytes.add(lastRow, POSTFIX);

                System.out.println("start row: " +

                        Bytes.toStringBinary(startRow));

                scan.setStartRow(startRow);

            }

            ResultScanner scanner = table.getScanner(scan);

            int localRows = 0;

            Result result;

            while ((result = scanner.next()) != null) {

                System.out.println(localRows++ + ": " + result);

                totalRows++;

                lastRow = result.getRow();

            }

            scanner.close();

            if (localRows == 0) break;

        }

        System.out.println("total rows: " + totalRows);

        table.close();

        connection.close();

    }

}

/**

 0: keyvalues={224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0}

 1: keyvalues={510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0}

 2: keyvalues={524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0, 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0}

 start row: 524382618264914241\x00

 0: keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0, 673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0}

 1: keyvalues={813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0, 813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0}

 start row: 813782218261011172\x00

 2016-08-29 17:17:57,197 INFO  [main] client.ConnectionManager$HConnectionImplementation: Closing zookeeper sessionid=0x56c13890bf003a

 total rows: 5

**/
  • KeyOnlyFilter 行键过滤器

  • FirstKeyOnlyFilter 首次行键过滤器

  • FirstKeyValueMatchingQualifiersFilter 

  • InclusiveStopFilter 包含结束的过滤器

  • FuzzyRowFilter 模糊行匹配过滤器

  • ColumnCountGetFilter 列计数过滤器
    可以使用这个过滤器来限制每行最多取回多少列，

    当一行的列数到设定的最大值，这个过滤器会停止整个扫描操作。

    适合在get方法中使用

     

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.ColumnCountGetFilter;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    /**

     * ColumnCountGetFilter 列数过滤器

     */

    public class FilterOfColumnCountGetFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            //限制返回的列数

            ColumnCountGetFilter columnCountGetFilter = new ColumnCountGetFilter(3);

            // column=info:age,column=info:height,column=info:name,column=info:phone,column=info:weight,

            Get get = new Get(Bytes.toBytes("224382618261914241"));

            get.setFilter(columnCountGetFilter);

            Result result = table.get(get);

            System.out.println("Result of columnCountGetFilter get: ");

            for (Cell cell : result.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            Get get1 = new Get(Bytes.toBytes("224382618261914241"));

            Result result1 = table.get(get1);

            System.out.println("Result of get: ");

            for (Cell cell : result1.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            table.close();

            connection.close();

        }

    }

    /**

     Result of columnCountGetFilter get:

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     Result of get:

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424

     Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000

    **/
  • ColumnPaginationFilter 列分页过滤
    HBase 的列可以很多，所以出现了列分页
    该过滤器可以对一行的所有列进行分页 
    构造函数：
ColumnPaginationFilter(int limit, int offset)
ColumnPaginationFilter(int limit, byte[] columnOffset)
    limit 限制取回来列数  offset 偏移位就是开始位置 byte[] 字符串/书签偏移从哪里开始分页。

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.ColumnPaginationFilter;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    /**

     * ColumnPageFilter 列分页过滤器

     */

    public class FilterOColumnPageFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            //限制返回的列数 从第4列开始取 取3列数据

            ColumnPaginationFilter columnPaginationFilter = new ColumnPaginationFilter(3,4);

            Get get = new Get(Bytes.toBytes("224382618261914241"));

            get.setFilter(columnPaginationFilter);

            Result result = table.get(get);

            System.out.println("Result of ColumnPageFilter get: ");

            for (Cell cell : result.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            //限制返回的列数 从第name列开始取 取3列数据

            ColumnPaginationFilter columnPaginationFilter2 = new ColumnPaginationFilter(3,Bytes.toBytes("name"));

            Get get2 = new Get(Bytes.toBytes("224382618261914241"));

            get2.setFilter(columnPaginationFilter2);

            Result result2 = table.get(get2);

            System.out.println("Result of ColumnPageFilter get: ");

            for (Cell cell : result2.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            Get get1 = new Get(Bytes.toBytes("224382618261914241"));

            Result result1 = table.get(get1);

            System.out.println("Result of get: ");

            for (Cell cell : result1.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            table.close();

            connection.close();

        }

    }

    /**

     Result of ColumnPageFilter get:

     Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     Result of ColumnPageFilter get:

     Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424

     Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     Result of get:

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424

     Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000

    **/
  • ColumnPrefixFilter 列前缀过虑器 
    该过滤器通过对列名称进行前缀匹配过滤
     

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.ColumnPrefixFilter;

    import org.apache.hadoop.hbase.filter.Filter;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    /**

     * ColumnPrefixFilter 列前缀过滤器

     */

    public class FilterOfColumnPrefixFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            //取列名已ag开头的

            Filter columnPrefixFilter = new ColumnPrefixFilter(Bytes.toBytes("a"));

            Get get = new Get(Bytes.toBytes("224382618261914241"));

            get.setFilter(columnPrefixFilter);

            Result result = table.get(get);

            System.out.println("Result of columnPrefixFilter get: ");

            for (Cell cell : result.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            Get get1 = new Get(Bytes.toBytes("224382618261914241"));

            Result result1 = table.get(get1);

            System.out.println("Result of get: ");

            for (Cell cell : result1.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            table.close();

            connection.close();

        }

    }

    /**

     Result of columnPrefixFilter get:

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     Result of get:

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424

     Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000

    **/
  • MultipleColumnPrefixFilter 多个列前缀过滤器

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.Filter;

    import org.apache.hadoop.hbase.filter.MultipleColumnPrefixFilter;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    /**

     * MultipleColumnPrefixFilter 多个列前缀过滤器

     */

    public class FilterOfMultipleColumnPrefixFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            //取列名已a开头的 还有已h 开头的

            Filter filter = new MultipleColumnPrefixFilter(new byte[][] {Bytes.toBytes("a"),Bytes.toBytes("h")});

            Get get = new Get(Bytes.toBytes("224382618261914241"));

            get.setFilter(filter);

            Result result = table.get(get);

            System.out.println("Result of columnPrefixFilter get: ");

            for (Cell cell : result.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            Get get1 = new Get(Bytes.toBytes("224382618261914241"));

            Result result1 = table.get(get1);

            System.out.println("Result of get: ");

            for (Cell cell : result1.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            table.close();

            connection.close();

        }

    }

    /**

     Result of columnPrefixFilter get:

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     Result of get:

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424

     Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000

    **/
  • ColumnRangeFilter 列范围过滤器

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.ColumnRangeFilter;

    import org.apache.hadoop.hbase.filter.Filter;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    /**

     * ColumnRangeFilter 列范围过滤器

     */

    public class FilterOfColumnRangeFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            //minColumn - minimum value for the column range. If if it's null, there is no lower bound.

            //minColumnInclusive - if true, include minColumn in the range. 如果是true 就要包含minColumn

            //maxColumn - maximum value for the column range. If it's null,

            //maxColumnInclusive - if true, include maxColumn in the range. there is no upper bound.

           //从email到phone范围内的所有列 第二个参数为true所以包含了email <br>　　    Filter filter = new ColumnRangeFilter(Bytes.toBytes("email"), true, Bytes.toBytes("phone"), false);

            Get get = new Get(Bytes.toBytes("224382618261914241"));

            get.setFilter(filter);

            Result result = table.get(get);

            System.out.println("Result of ColumnRangeFilter get: ");

            for (Cell cell : result.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            Get get1 = new Get(Bytes.toBytes("224382618261914241"));

            Result result1 = table.get(get1);

            System.out.println("Result of get: ");

            for (Cell cell : result1.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            table.close();

            connection.close();

        }

    }

    /**

     Result of ColumnRangeFilter get:

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     Result of get:

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424

     Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000

     2016-08-31 17:53:28,394 INFO  [main] client.ConnectionManager$HConnectionImplementati

    **/
  • SingleColumnValueFilter 单列值过滤器
    用一列的值决定是否一行数据被过滤
     

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.CompareFilter;

    import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;

    import org.apache.hadoop.hbase.filter.SubstringComparator;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    /**

     * SingleColumnValueFilter 单列过滤器

     */

    public class FilterOfSingleColumnValueFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            //  510824118261011172 column=ship:email, timestamp=1472196213422, [email protected]

            SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter(Bytes.toBytes("ship"),Bytes.toBytes("email"), CompareFilter.CompareOp.EQUAL,new SubstringComparator("[email protected]"));

            singleColumnValueFilter.setFilterIfMissing(true);

            Scan scan = new Scan();

            scan.setFilter(singleColumnValueFilter);

            ResultScanner results = table.getScanner(scan);

            for (Result result:results){

                for (Cell cell :result.rawCells()){

                    System.out.println("Cell: "+cell+",Value:" + Bytes.toString(cell.getValueArray(),cell.getValueOffset(), cell.getValueLength()));

                }

            }

            results.close();

            // 224382618261914241 column=ship:email, timestamp=1472196211530, [email protected]

            Get get = new Get(Bytes.toBytes("224382618261914241"));

            get.setFilter(singleColumnValueFilter);

            Result result = table.get(get);

            System.out.println("Result of get: ");

            for (Cell cell : result.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            Get get1 = new Get(Bytes.toBytes("510824118261011172"));

            get1.setFilter(singleColumnValueFilter);

            Result result1 = table.get(get1);

            System.out.println("Result of get1: ");

            for (Cell cell : result1.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            table.close();

            connection.close();

        }

    }

    /**

     Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0,Value:18

     Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0,Value:188

     Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0,Value:yangyang

     Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0,Value:18013921626

     Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0,Value:138

     Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0,Value:shanghai

     Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0,Value:[email protected]

     Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0,Value:50000

     Result of get:

     Result of get1:

     Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18

     Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188

     Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang

     Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626

     Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138

     Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai

     Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: [email protected]

     Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000

    **/
  • SingleColumnValueExcludeFilter 单列排除过滤器
    单列排除过滤器继承自SingleColumnValueFilter，过滤的方式还是按照SingleColumnValueFilter去过滤，
    但是最后的结果集去除了作为过滤条件的列
     

            //  510824118261011172 column=ship:email, timestamp=1472196213422, [email protected]

            SingleColumnValueExcludeFilter singleColumnValueExcludeFilter = new SingleColumnValueExcludeFilter(Bytes.toBytes("ship"),Bytes.toBytes("email"), CompareFilter.CompareOp.EQUAL,new SubstringComparator("[email protected]"));

            singleColumnValueExcludeFilter.setFilterIfMissing(true);

            Scan scan = new Scan();

            scan.setFilter(singleColumnValueExcludeFilter);

            ResultScanner results = table.getScanner(scan);

            for (Result result:results){

                for (Cell cell :result.rawCells()){

                    System.out.println("Cell: "+cell+",Value:" + Bytes.toString(cell.getValueArray(),cell.getValueOffset(), cell.getValueLength()));

                }

            }

            results.close();

            // 224382618261914241 column=ship:email, timestamp=1472196211530, [email protected]

            Get get = new Get(Bytes.toBytes("224382618261914241"));

            get.setFilter(singleColumnValueExcludeFilter);

            Result result = table.get(get);

            System.out.println("Result of get: ");

            for (Cell cell : result.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

            Get get1 = new Get(Bytes.toBytes("510824118261011172"));

            get1.setFilter(singleColumnValueExcludeFilter);

            Result result1 = table.get(get1);

            System.out.println("Result of get1: ");

            for (Cell cell : result1.rawCells()) {

                System.out.println("Cell: " + cell + ", Value: " +

                        Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                cell.getValueLength()));

            }

    /**

     * Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0,Value:18

     Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0,Value:188

     Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0,Value:yangyang

     Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0,Value:18013921626

     Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0,Value:138

     Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0,Value:shanghai

     Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0,Value:50000

     Result of get:

     Result of get1:

     Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18

     Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188

     Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang

     Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626

     Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138

     Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai

     Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000

     */
  • TimestampsFilter 时间过滤器
    使用时间戳的值来过滤值
     

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.Filter;

    import org.apache.hadoop.hbase.filter.TimestampsFilter;

    import java.io.IOException;

    import java.util.ArrayList;

    import java.util.List;

    /**

     * TimestampsFilter 时间过滤器

     */

    public class FilterOfTimestampsFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            List<Long> ts = new ArrayList<Long>();

            ts.add(new Long("1472196195270"));

            ts.add(new Long("1472196212480"));

            ts.add(new Long(15));

            Filter filter = new TimestampsFilter(ts);

            Scan scan1 = new Scan();

            scan1.setFilter(filter);

            ResultScanner scanner1 = table.getScanner(scan1);

            for(Result result:scanner1){

                System.out.println(result);

            }

            scanner1.close();

            Scan scan2 = new Scan();

            scan2.setFilter(filter);

            //加了时间范围 故意多加了1s 1472196212480+1=1472196212481

            scan2.setTimeRange(1472196195271L, 1472196212481L);

            ResultScanner scanner2 = table.getScanner(scan2);

            System.out.println("Add time range:");

            for (Result result : scanner2) {

                System.out.println(result);

            }

            scanner2.close();

        }

    }

    /**

     keyvalues={524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0}

     keyvalues={813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0}

     Add time range:

     keyvalues={813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0}

    **/
  • RandomRowFilter  随机行过滤器
     

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.Filter;

    import org.apache.hadoop.hbase.filter.RandomRowFilter;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    /**

     * RandomRowFilter 随机行过滤器

     */

    public class FilterOfRandomRowFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            //该构造参数0-1之间,如果为负数全部过滤,大于1全部通过 0.2f表的该行数据20%的概率通过

            Filter filter = new RandomRowFilter(0.2f);

            Scan scan = new Scan();

            scan.setFilter(filter);

            ResultScanner results = table.getScanner(scan);

            for (Result result:results) {

                for (Cell cell : result.rawCells()) {

                    System.out.println("Cell: " + cell + ", Value: " +

                            Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                    cell.getValueLength()));

                }

            }

            table.close();

            connection.close();

        }

    }

    /**

     Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18

     Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188

     Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang

     Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626

     Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138

     Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai

     Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: [email protected]

     Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000

    **/

    　　

  • Decorating Filters  装饰过滤器或附加过滤器
  • SkipFilter 跳过过滤器 根据构造器中的过滤器为基准跳过行
     

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.*;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    /**

     * SkipFilter 跳过(忽略)过滤器

     * similarface

     * [email protected]

     */

    public class FilterOfSkipFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            //510824118261011172                                     column=info:height, timestamp=1472196213056, value=188

            //673782618261019142                                     column=info:weight, timestamp=1472196211841, value=188

            //如果列值中含有188这个数值,那么这列将会跳过

            Filter filter = new ValueFilter(CompareFilter.CompareOp.NOT_EQUAL,new BinaryComparator(Bytes.toBytes("188")));

            Scan scan = new Scan();

            scan.setFilter(filter);

            ResultScanner results = table.getScanner(scan);

            for (Result result:results) {

                for (Cell cell : result.rawCells()) {

                    System.out.println("Cell: " + cell + ", Value: " +

                            Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                    cell.getValueLength()));

                }

            }

            Scan scan1 = new Scan();

            //skipfilter的构造参数时filter

            //  filter==>如果列值中含有188这个数值,那么这列将会跳过 filter2==>就是如果列值中含有188这个数值那么整个行都会被跳过 表示不会出现[510824118261011172,673782618261019142]

            Filter filter2 = new SkipFilter(filter);

            scan1.setFilter(filter2);

            ResultScanner scanner2= table.getScanner(scan1);

            for(Result result:scanner2){

                for (Cell cell : result.rawCells()) {

                    System.out.println("SKIP Cell: " + cell + ", Value: " +

                            Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                    cell.getValueLength()));

                }

            }

            results.close();

            scanner2.close();

            table.close();

            connection.close();

        }

    }

    /**

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424

     Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000

     Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18

     Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang

     Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626

     Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138

     Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai

     Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: [email protected]

     Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000

     Cell: 524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, Value: 30

     Cell: 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, Value: 168

     Cell: 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, Value: zhangsan

     Cell: 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, Value: 13212321424

     Cell: 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0, Value: 168

     Cell: 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, Value: beijing

     Cell: 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, Value: [email protected]

     Cell: 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0, Value: 3000

     Cell: 673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, Value: 19

     Cell: 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, Value: 178

     Cell: 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, Value: zhaoliu

     Cell: 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, Value: 17713921424

     Cell: 673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, Value: shenzhen

     Cell: 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, Value: [email protected]

     Cell: 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0, Value: 8000

     Cell: 813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, Value: 19

     Cell: 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, Value: 158

     Cell: 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, Value: wangmazi

     Cell: 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, Value: 12713921424

     Cell: 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0, Value: 118

     Cell: 813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, Value: xian

     Cell: 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, Value: [email protected]

     Cell: 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0, Value: 10000

      

     SKIP Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     SKIP Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     SKIP Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     SKIP Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424

     SKIP Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     SKIP Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     SKIP Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     SKIP Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000

     SKIP Cell: 524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, Value: 30

     SKIP Cell: 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, Value: 168

     SKIP Cell: 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, Value: zhangsan

     SKIP Cell: 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, Value: 13212321424

     SKIP Cell: 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0, Value: 168

     SKIP Cell: 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, Value: beijing

     SKIP Cell: 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, Value: [email protected]

     SKIP Cell: 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0, Value: 3000

     SKIP Cell: 813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, Value: 19

     SKIP Cell: 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, Value: 158

     SKIP Cell: 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, Value: wangmazi

     SKIP Cell: 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, Value: 12713921424

     SKIP Cell: 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0, Value: 118

     SKIP Cell: 813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, Value: xian

     SKIP Cell: 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, Value: [email protected]

     SKIP Cell: 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0, Value: 10000

    **/

    　　

  • WhileMatchFilter 当匹配到就中断扫描
     

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.*;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    /**

     * WhileMatchFilter 全匹配过滤器 [当匹配到就中断扫描]

     * similarface

     * [email protected]

     */

    public class FilterOfWhileMatchFilter {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            //匹配 510824118261011172 的行

            Filter filter1=new RowFilter(CompareFilter.CompareOp.NOT_EQUAL,new BinaryComparator(Bytes.toBytes("510824118261011172")));

            Scan scan = new Scan();

            scan.setFilter(filter1);

            ResultScanner results = table.getScanner(scan);

            for (Result result:results) {

                for (Cell cell : result.rawCells()) {

                    System.out.println("Cell: " + cell + ", Value: " +

                            Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                    cell.getValueLength()));

                }

            }

            //  匹配 510824118261011172 的行马上中断本次扫描操作

            Filter filter2 = new WhileMatchFilter(filter1);

            Scan scan1 = new Scan();

            scan1.setFilter(filter2);

            ResultScanner scanner2= table.getScanner(scan1);

            for(Result result:scanner2){

                for (Cell cell : result.rawCells()) {

                    System.out.println("WhileMatchFilter Cell: " + cell + ", Value: " +

                            Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                    cell.getValueLength()));

                }

            }

            results.close();

            scanner2.close();

            table.close();

            connection.close();

        }

    }

    /**

     Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     ...

     Cell: 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, Value: beijing

     Cell: 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, Value: [email protected]

     ...

     Cell: 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0, Value: 10000

     WhileMatchFilter Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     ...

     WhileMatchFilter Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000

    **/
  • FilterList 过滤列表［多个过滤器一起起作用］
     

    import org.apache.hadoop.conf.Configuration;

    import org.apache.hadoop.hbase.Cell;

    import org.apache.hadoop.hbase.HBaseConfiguration;

    import org.apache.hadoop.hbase.TableName;

    import org.apache.hadoop.hbase.client.*;

    import org.apache.hadoop.hbase.filter.*;

    import org.apache.hadoop.hbase.util.Bytes;

    import java.io.IOException;

    import java.util.ArrayList;

    import java.util.List;

    /**

     * FilterList 过滤器列表[多个过滤器组合在一起]

     * similarface

     * [email protected]

     */

    public class FilterOfFilterList {

        public static void main(String args[]) throws IOException{

            Configuration configuration = HBaseConfiguration.create();

            Connection connection = ConnectionFactory.createConnection(configuration);

            Table table = connection.getTable(TableName.valueOf("user"));

            List<Filter> filters = new ArrayList<Filter>();

            Filter filter1=new RowFilter(CompareFilter.CompareOp.GREATER_OR_EQUAL,

                    new BinaryComparator(Bytes.toBytes("524382618264914241")));

            filters.add(filter1);

            Filter filter2=new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL,

                    new BinaryComparator(Bytes.toBytes("813782218261011172")));

            filters.add(filter2);

            //列名过滤器

            Filter filter3=new QualifierFilter(CompareFilter.CompareOp.EQUAL,

                    new RegexStringComparator("age"));

            filters.add(filter3);

            //行键 Between "524382618264914241" and "813782218261011172"  and column="age"

            FilterList filterList1 = new FilterList(filters);

            Scan scan = new Scan();

            scan.setFilter(filterList1);

            ResultScanner results = table.getScanner(scan);

            for (Result result:results) {

                for (Cell cell : result.rawCells()) {

                    System.out.println("Cell: " + cell + ", Value: " +

                            Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                    cell.getValueLength()));

                }

            }

            results.close();

            //行键 Between "524382618264914241" or "813782218261011172"  or column="age"

            FilterList filterList2 = new FilterList(FilterList.Operator.MUST_PASS_ONE,filters);

            scan.setFilter(filterList2);

            ResultScanner scanner2= table.getScanner(scan);

            for(Result result:scanner2){

                for (Cell cell : result.rawCells()) {

                    System.out.println("MUST_PASS_ONE Cell: " + cell + ", Value: " +

                            Bytes.toString(cell.getValueArray(), cell.getValueOffset(),

                                    cell.getValueLength()));

                }

            }

            scanner2.close();

            table.close();

            connection.close();

        }

    }

    /**

     Cell: 524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, Value: 30

     Cell: 673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, Value: 19

     Cell: 813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, Value: 19

     MUST_PASS_ONE Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24

     MUST_PASS_ONE Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158

     MUST_PASS_ONE Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi

     MUST_PASS_ONE Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424

     MUST_PASS_ONE Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128

     MUST_PASS_ONE Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu

     MUST_PASS_ONE Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: [email protected]

     MUST_PASS_ONE Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000

     MUST_PASS_ONE Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18

     MUST_PASS_ONE Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188

     MUST_PASS_ONE Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang

     MUST_PASS_ONE Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626

     MUST_PASS_ONE Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138

     MUST_PASS_ONE Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai

     MUST_PASS_ONE Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: [email protected]

     MUST_PASS_ONE Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000

     MUST_PASS_ONE Cell: 524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, Value: 30

     MUST_PASS_ONE Cell: 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, Value: 168

     MUST_PASS_ONE Cell: 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, Value: zhangsan

     MUST_PASS_ONE Cell: 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, Value: 13212321424

     MUST_PASS_ONE Cell: 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0, Value: 168

     MUST_PASS_ONE Cell: 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, Value: beijing

     MUST_PASS_ONE Cell: 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, Value: [email protected]

     MUST_PASS_ONE Cell: 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0, Value: 3000

     MUST_PASS_ONE Cell: 673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, Value: 19

     MUST_PASS_ONE Cell: 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, Value: 178

     MUST_PASS_ONE Cell: 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, Value: zhaoliu

     MUST_PASS_ONE Cell: 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, Value: 17713921424

     MUST_PASS_ONE Cell: 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0, Value: 188

     MUST_PASS_ONE Cell: 673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, Value: shenzhen

     MUST_PASS_ONE Cell: 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, Value: [email protected]

     MUST_PASS_ONE Cell: 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0, Value: 8000

     MUST_PASS_ONE Cell: 813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, Value: 19

     MUST_PASS_ONE Cell: 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, Value: 158

     MUST_PASS_ONE Cell: 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, Value: wangmazi

     MUST_PASS_ONE Cell: 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, Value: 12713921424

     MUST_PASS_ONE Cell: 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0, Value: 118

     MUST_PASS_ONE Cell: 813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, Value: xian

     MUST_PASS_ONE Cell: 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, Value: [email protected]

     MUST_PASS_ONE Cell: 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0, Value: 10000

    **/
  • Custom Filters 
  • Custom Filter Loading 

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