HBase之过滤器

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: 199@sina.com
 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: 524382618264914241x00
 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: 813782218261011172x00
 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: qq@sina.com
 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: qq@sina.com
 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: qq@sina.com
 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: qq@sina.com
 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: qq@sina.com
 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 
　　    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: qq@sina.com
 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: qq@sina.com
 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, value=199@sina.com
        SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter(Bytes.toBytes("ship"),Bytes.toBytes("email"), CompareFilter.CompareOp.EQUAL,new SubstringComparator("199@sina.com"));
        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, value=qq@sina.com
        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:199@sina.com
 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: 199@sina.com
 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, value=199@sina.com
        SingleColumnValueExcludeFilter singleColumnValueExcludeFilter = new SingleColumnValueExcludeFilter(Bytes.toBytes("ship"),Bytes.toBytes("email"), CompareFilter.CompareOp.EQUAL,new SubstringComparator("199@sina.com"));
        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, value=qq@sina.com
        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: 199@sina.com
 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
 * similarface@outlook.com
 */
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: qq@sina.com
 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: 199@sina.com
 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: sina@sina.com
 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: 126@sina.com
 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: 139@sina.com
 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: qq@sina.com
 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: sina@sina.com
 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: 139@sina.com
 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
 * similarface@outlook.com
 */
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: sina@sina.com
 ...
 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
 * similarface@outlook.com
 */
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: qq@sina.com
 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: 199@sina.com
 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: sina@sina.com
 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: 126@sina.com
 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: 139@sina.com
 MUST_PASS_ONE Cell: 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0, Value: 10000
**/

Custom Filters
Custom Filter Loading

相关阅读:
fopen
alsa 编程
 Alsa中PCM参数设置⭐⭐
malloc、calloc、realloc和alloca各种的区别
 微信支付：微信支付遇到的坑：jssdk,phpdemo,微信支付提示{"errMsg":"chooseWXPay:fail"}
java: 观察者模式：Observable被观察者，Observer观察者
 java: Comparable比较器，定义二叉操作类
 java: Comparable比较器，数组对象比较器
 微信支付：价格问题：如果支付金额是单位是分，不能带小数点
 centos：rpm安装，软件安装
原文地址：https://www.cnblogs.com/similarface/p/5805973.html