Hbase如何根据列值来查询整条数据

        我们知道Hbase不能像关系型数据库那样根据字段的值来查询其他的值，那么可以为hbase建立二级索引来达到这样的效果

        Hbase可以用协处理器来建二级索引的，但我这里为了测试方便，直接用Java API往hbase表中插入数据的时候同时也往二级索引表中插入数据

我设计的原表数据结构是：
rowkey：待定
列族1：jiben    列：dbopt，probeid，type，size
列族2：disk     列：rate，total，temperature
列族3：cpu1     列：rate，num，temperature
列族4：cpu2     列：rate，num，temperature
列族5：memory   列：totoal，rate

二级索引表数据结构是：
rowkey：原表的value-原表的列族-原表的列-UUID
如：20095555-disk-total-fe7f4fe8d3ef4e60b1056e9c46a25e88
列族名和列名随意起

首先根据我上面的信息创建两张表，一张原始数据表emp，一张二级索引表hui

往原始索引表中插入数据的同时将列值作为二级索引表的rowkey也往二级索引表中插入数据：

import java.io.IOException;  
import java.util.Random;
import java.util.UUID;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.MasterNotRunningException;
import org.apache.hadoop.hbase.ZooKeeperConnectionException;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.util.Bytes;

public class PutData {
    public static void main(String[] args) throws MasterNotRunningException,  
        ZooKeeperConnectionException, IOException {
    	String tableName = "emp";
    	String columnFamily1 = "jiben";
    	String columnFamily2 = "disk";
    	String columnFamily3 = "cpu1";
    	String columnFamily4 = "cpu2";
    	String columnFamily5 = "memory";
    	Random random = new Random();
    	
    	String tableName2 = "hui";
    	
    	UUID uuid = UUID.randomUUID();
                        
    	for(int i=10028;i<=500000;i++){
    		int a = random.nextInt(100);
    		int b = random.nextInt(100);
    		int c = random.nextInt(1000);
    		String str = uuid.toString();
    		String temp = str.substring(0, 8) + str.substring(9, 13) + str.substring(14, 18)   
    				+ str.substring(19, 23) + str.substring(24);
    		
    		put(tableName, String.valueOf(i), columnFamily1, "dbopt", "insert");
    		put(tableName2, "insert"+"-"+columnFamily1+"-"+"dbopt"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily1, "probeid", String.valueOf(i));
    		put(tableName2, String.valueOf(i)+"-"+columnFamily1+"-"+"probeid"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily1, "type", "type");
    		put(tableName2, String.valueOf(i)+"-"+columnFamily1+"-"+"type"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily1, "size", String.valueOf(c));
    		put(tableName2, String.valueOf(c)+"-"+columnFamily1+"-"+"size"+"-"+temp, "cf", "rowkey", String.valueOf(i));

    		put(tableName, String.valueOf(i), columnFamily2, "rate", String.valueOf(b));
    		put(tableName2, String.valueOf(b)+"-"+columnFamily2+"-"+"rate"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily2, "total", "2009"+String.valueOf(i));
    		put(tableName2, "2009"+String.valueOf(i)+"-"+columnFamily2+"-"+"total"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily2, "temperature", String.valueOf(a));
    		put(tableName2, String.valueOf(a)+"-"+columnFamily2+"-"+"temperature"+"-"+temp, "cf", "rowkey", String.valueOf(i));

    		put(tableName, String.valueOf(i), columnFamily3, "rate", "0.0");
    		put(tableName2, "0.0"+"-"+columnFamily3+"-"+"rate"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily3, "num", String.valueOf(b));
    		put(tableName2, String.valueOf(b)+"-"+columnFamily3+"-"+"num"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily3, "temperature", String.valueOf(a));
    		put(tableName2, String.valueOf(a)+"-"+columnFamily3+"-"+"temperature"+"-"+temp, "cf", "rowkey", String.valueOf(i));

    		put(tableName, String.valueOf(i), columnFamily4, "rate", "1.0");
    		put(tableName2, "1.0"+"-"+columnFamily4+"-"+"rate"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily4, "num", String.valueOf(a));
    		put(tableName2, String.valueOf(a)+"-"+columnFamily4+"-"+"num"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily4, "temperature", String.valueOf(b));
    		put(tableName2, String.valueOf(b)+"-"+columnFamily4+"-"+"temperature"+"-"+temp, "cf", "rowkey", String.valueOf(i));

    		put(tableName, String.valueOf(i), columnFamily5, "totoal", String.valueOf(i));
    		put(tableName2, String.valueOf(i)+"-"+columnFamily5+"-"+"totoal"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    		put(tableName, String.valueOf(i), columnFamily5, "rate", String.valueOf(a));
    		put(tableName2, String.valueOf(a)+"-"+columnFamily5+"-"+"rate"+"-"+temp, "cf", "rowkey", String.valueOf(i));
    	}
    }
  
    public static Configuration getConfiguration() {  
    	Configuration conf = HBaseConfiguration.create();  
    	conf.set("hbase.zookeeper.quorum",  "192.168.205.153");  //  Zookeeper的地址  
    	conf.set("hbase.zookeeper.property.clientPort", "2181");
    	return conf;
    }

    public static void put(String tableName, String row, String columnFamily,  
    		String column, String data) throws IOException {  
    	HTable table = new HTable(getConfiguration(), tableName);  
    	Put put = new Put(Bytes.toBytes(row));  
    	put.add(Bytes.toBytes(columnFamily), Bytes.toBytes(column), Bytes.toBytes(data));  
    	table.put(put);
//    	System.err.println("SUCCESS");
    }  
}

注：这样做插的很慢，我差不多快一天了才总共插入原始表数据52327行，二级索引表214392行数据

用协处理器时需将上面的代码改一下，只插入原表emp就可以，协处理器的代码：

import java.io.IOException;  
import java.util.UUID;

import org.apache.hadoop.conf.Configuration;  
import org.apache.hadoop.hbase.Cell;  
import org.apache.hadoop.hbase.client.Durability;  
import org.apache.hadoop.hbase.client.HTable;  
import org.apache.hadoop.hbase.client.Put;  
import org.apache.hadoop.hbase.coprocessor.BaseRegionObserver;  
import org.apache.hadoop.hbase.coprocessor.ObserverContext;  
import org.apache.hadoop.hbase.coprocessor.RegionCoprocessorEnvironment;  
import org.apache.hadoop.hbase.regionserver.wal.WALEdit;  
import org.apache.hadoop.hbase.util.Bytes;
  
public class TestCoprocessor4 extends BaseRegionObserver {  
    @Override  
    public void prePut(ObserverContext e,  
            Put put, WALEdit edit, Durability durability) throws IOException {  
          
        Configuration config = new Configuration();  
        @SuppressWarnings("deprecation")
		HTable table = new HTable(config, "hui");
        
        UUID uuid = UUID.randomUUID();
        String str = uuid.toString();
		String temp = str.substring(0, 8) + str.substring(9, 13) + str.substring(14, 18)   
				+ str.substring(19, 23) + str.substring(24);
  
        byte[] row = put.getRow();  
        
        if(put.has("jiben".getBytes(), "dbopt".getBytes())){
        	Cell cell = put.get("jiben".getBytes(), "dbopt".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"jiben"+"-"+"dbopt"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("jiben".getBytes(), "probeid".getBytes())){
        	Cell cell = put.get("jiben".getBytes(), "probeid".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"jiben"+"-"+"probeid"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("jiben".getBytes(), "type".getBytes())){
        	Cell cell = put.get("jiben".getBytes(), "type".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"jiben"+"-"+"type"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("jiben".getBytes(), "size".getBytes())){
        	Cell cell = put.get("jiben".getBytes(), "size".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"jiben"+"-"+"size"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);
        	table.close();
        }else if(put.has("disk".getBytes(), "rate".getBytes())){
        	Cell cell = put.get("disk".getBytes(), "rate".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"disk"+"-"+"rate"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("disk".getBytes(), "total".getBytes())){
        	Cell cell = put.get("disk".getBytes(), "total".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"disk"+"-"+"total"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("disk".getBytes(), "temperature".getBytes())){
        	Cell cell = put.get("disk".getBytes(), "temperature".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"disk"+"-"+"temperature"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("cpu1".getBytes(), "rate".getBytes())){
        	Cell cell = put.get("cpu1".getBytes(), "rate".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"cpu1"+"-"+"rate"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("cpu1".getBytes(), "num".getBytes())){
        	Cell cell = put.get("cpu1".getBytes(), "num".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"cpu1"+"-"+"num"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("cpu1".getBytes(), "temperature".getBytes())){
        	Cell cell = put.get("cpu1".getBytes(), "temperature".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"cpu1"+"-"+"temperature"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("cpu2".getBytes(), "rate".getBytes())){
        	Cell cell = put.get("cpu2".getBytes(), "rate".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"cpu2"+"-"+"rate"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("cpu2".getBytes(), "num".getBytes())){
        	Cell cell = put.get("cpu2".getBytes(), "num".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"cpu2"+"-"+"num"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("cpu2".getBytes(), "temperature".getBytes())){
        	Cell cell = put.get("cpu2".getBytes(), "temperature".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"cpu2"+"-"+"temperature"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("memory".getBytes(), "totoal".getBytes())){
        	Cell cell = put.get("memory".getBytes(), "totoal".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"memory"+"-"+"totoal"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }else if(put.has("memory".getBytes(), "rate".getBytes())){
        	Cell cell = put.get("memory".getBytes(), "rate".getBytes()).get(0);
        	String newrow = new String(cell.getValueArray(),cell.getValueOffset(),cell.getValueLength())
        		+"-"+"memory"+"-"+"rate"+"-"+temp;
        	Put putIndex = new Put(Bytes.toBytes(newrow));
        	putIndex.addColumn("cf".getBytes(), "hehe".getBytes(), row);  
        	table.put(putIndex);  
        	table.close();
        }
    }  
}

用hbase的get命令来查原始表的测试：
hbase(main):029:0> get 'emp','5555','disk:total'
COLUMN                                                       CELL                                                                                                                                                                            
 disk:total                                                  timestamp=1511203588978, value=20095555                                                                                                                                         
1 row(s) in 0.0050 seconds

API：

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.client.Get;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.util.Bytes;

public class GetData {
    public static void main(String[] args) throws IOException {
        String tableName = "emp";
    	long b = System.currentTimeMillis();
//    	get(tableName, "5555");	//直接查原始表的rowkey查整行数据
    	getResultByColumn(tableName, "5555", "disk", "total");	//直接定位到列
    	long e = System.currentTimeMillis();
    	System.out.println("spend:"+(e-b)+"ms");
    }
  
    public static Configuration getConfiguration() {  
        Configuration conf = HBaseConfiguration.create();  
    	conf.set("hbase.zookeeper.quorum",  "192.168.205.153");  //  Zookeeper的地址  
    	conf.set("hbase.zookeeper.property.clientPort", "2181");
        return conf;
    }  
  
    public static void get(String tableName, String rowkey) throws IOException {
        HTable table = new HTable(getConfiguration(), tableName);
        Get get = new Get(Bytes.toBytes(rowkey));
        Result result = table.get(get);
        for (KeyValue kv : result.list()) {
            System.out.println("family:" + Bytes.toString(kv.getFamily()));
            System.out.println("qualifier:" + Bytes.toString(kv.getQualifier()));
            System.out.println("value:" + Bytes.toString(kv.getValue()));
            System.out.println("Timestamp:" + kv.getTimestamp());
            System.out.println("-------------------------------------------");
        }
    }
    
    public static void getResultByColumn(String tableName, String rowKey,
            String familyName, String columnName) throws IOException {
        HTable table = new HTable(getConfiguration(), Bytes.toBytes(tableName));
        Get get = new Get(Bytes.toBytes(rowKey));
        get.addColumn(Bytes.toBytes(familyName), Bytes.toBytes(columnName)); // 获取指定列族和列修饰符对应的列
        Result result = table.get(get);
        for (KeyValue kv : result.list()) {
            System.out.println("family:" + Bytes.toString(kv.getFamily()));
            System.out.println("qualifier:" + Bytes.toString(kv.getQualifier()));
            System.out.println("value:" + Bytes.toString(kv.getValue()));
            System.out.println("Timestamp:" + kv.getTimestamp());
            System.out.println("-------------------------------------------");
        }
    }
}

在myeclipse中运行上面的程序所需要的时间：
spend:10489ms
spend:10548ms
spend:10364ms

在Linux本地中：
spend:1746ms
spend:1605ms
spend:1644ms

scan方法配合过滤器的效果：

hbase(main):067:0> scan 'emp', {FILTER => "RowFilter(=,'binary:5555')"}
ROW                                                          COLUMN+CELL                                                                                                                                                                     
 5555                                                        column=cpu1:num, timestamp=1511203589032, value=80                                                                                                                              
 5555                                                        column=cpu1:rate, timestamp=1511203589016, value=0.0                                                                                                                            
 5555                                                        column=cpu1:temperature, timestamp=1511203589056, value=13                                                                                                                      
 5555                                                        column=cpu2:num, timestamp=1511203589093, value=13                                                                                                                              
 5555                                                        column=cpu2:rate, timestamp=1511203589075, value=1.0                                                                                                                            
 5555                                                        column=cpu2:temperature, timestamp=1511203589113, value=80                                                                                                                      
 5555                                                        column=disk:rate, timestamp=1511203588960, value=80                                                                                                                             
 5555                                                        column=disk:temperature, timestamp=1511203588996, value=13                                                                                                                      
 5555                                                        column=disk:total, timestamp=1511203588978, value=20095555                                                                                                                      
 5555                                                        column=jiben:dbopt, timestamp=1511203588888, value=insert                                                                                                                       
 5555                                                        column=jiben:probeid, timestamp=1511203588908, value=5555                                                                                                                       
 5555                                                        column=jiben:size, timestamp=1511203588943, value=374                                                                                                                           
 5555                                                        column=jiben:type, timestamp=1511203588925, value=type                                                                                                                          
 5555                                                        column=memory:rate, timestamp=1511203589149, value=13                                                                                                                           
 5555                                                        column=memory:totoal, timestamp=1511203589131, value=5555                                                                                                                       
1 row(s) in 0.7600 seconds

API：

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Admin;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.ResultScanner;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.filter.BinaryComparator;
import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.PrefixFilter;
import org.apache.hadoop.hbase.filter.RowFilter;
import org.apache.hadoop.hbase.util.Bytes;

public class ScanData {
	  
    public static Admin admin = null;
    public static Connection conn = null;
  
    public ScanData() {
        Configuration conf = HBaseConfiguration.create();
	    conf.set("hbase.zookeeper.quorum",  "192.168.205.153");  //  Zookeeper的地址
	    conf.set("hbase.zookeeper.property.clientPort", "2181");
        try {
            conn = ConnectionFactory.createConnection(conf);
            admin = conn.getAdmin();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    public static void main(String[] args) throws Exception {
    	ScanData hbase = new ScanData();
//    	long b = System.currentTimeMillis();
//    	hbase.RowFilter("emp","5555");
//    	long e = System.currentTimeMillis();
//    	System.out.println("spend:"+(e-b)+"ms");
    	
    	long c = System.currentTimeMillis();
    	hbase.PrefixFilter("hui", "20095555"+"-"+"disk"+"-"+"total");
//    	hbase.RowFilter1("hui", "20095555-disk-total-fe7f4fe8d3ef4e60b1056e9c46a25e88");
    	long d = System.currentTimeMillis();
    	System.out.println("spend:"+(d-c)+"ms");
    }
    
    public void RowFilter(String tableName, String reg) throws Exception {
        Table table = conn.getTable(TableName.valueOf(tableName));
        Scan scan = new Scan();
        Filter filter = new RowFilter(CompareOp.EQUAL,  new BinaryComparator(Bytes.toBytes(reg)));
        scan.setFilter(filter);
        ResultScanner scanner = table.getScanner(scan);
        for (Result r : scanner) {
            for (Cell cell : r.rawCells()) {
                System.out.println(  
                        "Rowkey-->"+Bytes.toString(r.getRow())+"  "+  
                        "Familiy:Quilifier-->"+""+Bytes.toString(CellUtil.cloneQualifier(cell))+"  "+
                        "Value-->"+Bytes.toString(CellUtil.cloneValue(cell)));
            }
        }
    }
    
    public void RowFilter1(String tableName, String reg) throws Exception {
        Table table = conn.getTable(TableName.valueOf(tableName));
        Scan scan = new Scan();  
        Filter filter = new RowFilter(CompareOp.EQUAL,  new BinaryComparator(Bytes.toBytes(reg)));  
        scan.setFilter(filter);
        ResultScanner scanner = table.getScanner(scan);
        for (Result r : scanner) {
            for (Cell cell : r.rawCells()) {
                System.out.println(
                        "Rowkey-->"+Bytes.toString(r.getRow())+"  "+
                        "Familiy:Quilifier-->"+Bytes.toString(CellUtil.cloneQualifier(cell))+"  "+
                        "Value-->"+Bytes.toString(CellUtil.cloneValue(cell)));
                ScanData hbase = new ScanData();
                hbase.RowFilter("emp",Bytes.toString(CellUtil.cloneValue(cell)));
            }
        }
    }
    
    public void PrefixFilter(String tableName, String reg) throws Exception {  
        Table table = conn.getTable(TableName.valueOf(tableName));  
        Scan scan = new Scan();  
        Filter filter = new PrefixFilter(Bytes.toBytes(reg));
        scan.setFilter(filter);
        ResultScanner scanner = table.getScanner(scan);  
        for (Result r : scanner) {
            for (Cell cell : r.rawCells()) {
                System.out.println(
                        "Rowkey-->"+Bytes.toString(r.getRow())+"  "+
                        "Familiy:Quilifier-->"+Bytes.toString(CellUtil.cloneQualifier(cell))+"  "+
                        "Value-->"+Bytes.toString(CellUtil.cloneValue(cell)));
                ScanData hbase = new ScanData();
                hbase.RowFilter("emp",Bytes.toString(CellUtil.cloneValue(cell)));
            }  
        }  
    }
}

myeclipse中：
spend:5690ms
spend:5534ms

Linux本地中：
spend:1014ms
spend:1036ms

先查二级索引表的rowkey（20095555-disk-total-fe7f4fe8d3ef4e60b1056e9c46a25e88）再查原表：
myeclipse中：
spend:6136ms
spend:6064ms

Linux本地中：
spend:1549ms
spend:1333ms
spend:1260ms

先查二级索引表的rowkey前缀（20095555-disk-total）再查原表：
myeclipse中：
spend:5574ms
spend:5573ms

Linux本地中：
spend:1067ms
spend:1197ms
spend:1083ms

我这样做只是实现了功能，但效率好像并不是很好（如果数据量很大的话二级索引表就太浪费资源了）