相关知识
创建表插入数据删除等见：http://www.cnblogs.com/wishyouhappy/p/3735077.html
HBase API简介见：http://www.cnblogs.com/wishyouhappy/p/3753347.html
按行、列簇等查询
package wish.hbase;import java.io.IOException;
import java.util.ArrayList;
import java.util.List;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.HTablePool;
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.filter.CompareFilter.CompareOp;
import org.apache.hadoop.hbase.filter.FilterList;
import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;
import org.apache.hadoop.hbase.util.Bytes;public class HBaseQuerydata
{
static Configuration cfg = HBaseConfiguration.create();
static { cfg.set("hbase.zookeeper.quorum", "192.168.1.95");
cfg.set("hbase.zookeeper.property.clientPort", "2181");
} public static void queryByRowKey(String tablename, String rowKey) throws IOException
{
HTable table = new HTable(cfg, tablename);
Get g = new Get(rowKey.getBytes());
Result rs = table.get(g); for (KeyValue kv : rs.raw())
{
System.out.println("rowkey: " + new String(kv.getRow()));
System.out.println("Column Family: " + new String(kv.getFamily()));
System.out.println("Column : " + new String(kv.getQualifier()));
System.out.println("value : " + new String(kv.getValue()));
}
} public static void queryByRowKeyFamily(String tablename, String rowKey, String family) throws IOException
{
HTable table = new HTable(cfg, tablename);
Get g = new Get(rowKey.getBytes());
g.addFamily(Bytes.toBytes(family));
Result rs = table.get(g);
for (KeyValue kv : rs.raw())
{
System.out.println("rowkey: " + new String(kv.getRow()));
System.out.println("Column Family: " + new String(kv.getFamily()));
System.out.println("Column : " + new String(kv.getQualifier()));
System.out.println("value : " + new String(kv.getValue()));
}
} public static void queryByRowKeyFamilyColumn(String tablename, String rowKey, String family, String column)
throws IOException
{
HTable table = new HTable(cfg, tablename);
Get g = new Get(rowKey.getBytes());
g.addColumn(family.getBytes(), column.getBytes()); Result rs = table.get(g); for (KeyValue kv : rs.raw())
{
System.out.println("rowkey: " + new String(kv.getRow()));
System.out.println("Column Family: " + new String(kv.getFamily()));
System.out.println("Column : " + new String(kv.getQualifier()));
System.out.println("value : " + new String(kv.getValue()));
}
} /*
* 查询所有
*/
public static void queryAll(String tableName) {
HTablePool pool = new HTablePool(cfg, 1000);
try {
ResultScanner rs = pool.getTable(tableName).getScanner(new Scan());
for (Result r : rs) {
System.out.println("rowkey:" + new String(r.getRow()));
for (KeyValue keyValue : r.raw()) {
System.out.println("列：" + new String(keyValue.getFamily())
+ " 值:" + new String(keyValue.getValue()));
}
}
} catch (IOException e) {
e.printStackTrace();
}
} public static void main(String[] args) throws Exception
{
System.out.println("******************************queryall******************************");
queryAll("wishtest1");System.out.println("******************************query by rowkey******************************");
queryByRowKey("wishTest1", "2");
System.out.println("******************************query by rowkey family******************************");
queryByRowKeyFamily("wishTest1", "2","name");
System.out.println("******************************query by rowkey family column******************************");
queryByRowKeyFamilyColumn("wishTest1", "6","score","Chinese");
}
}
输出如下：
******************************queryall******************************
rowkey:****1121
列：age 值:20
列：gender 值:male
列：name 值:Chander
列：score 值:120
列：score 值:100
列：score 值:99
rowkey:*1111
列：age 值:20
列：gender 值:male
列：name 值:Chander
列：score 值:120
列：score 值:100
列：score 值:99
rowkey:1
列：age 值:20
列：gender 值:male
列：name 值:rain
rowkey:2
列：age 值:20
列：gender 值:female
列：name 值:wish
rowkey:3
列：age 值:20
列：gender 值:male
列：name 值:Joey
rowkey:4
列：age 值:20
列：gender 值:male
列：name 值:Jenny
列：score 值:90
列：score 值:100
列：score 值:100
列：score 值:90
rowkey:5
列：age 值:20
列：gender 值:male
列：name 值:Chander
列：score 值:120
列：score 值:100
列：score 值:99
rowkey:6
列：age 值:20
列：gender 值:male
列：name 值:Joey
列：score 值:100
列：score 值:100
列：score 值:90
******************************query by rowkey******************************
rowkey: 2
Column Family: age
Column :
value : 20
rowkey: 2
Column Family: gender
Column :
value : female
rowkey: 2
Column Family: name
Column :
value : wish
******************************query by rowkey family******************************
rowkey: 2
Column Family: name
Column :
value : wish
******************************query by rowkey family column******************************
rowkey: 6
Column Family: score
Column : Chinese
value : 100
行过滤器
使用过滤器可以提高操作表的效率，HBase中两种数据读取函数get()和scan()都支持过滤器
可以使用预定义好的过滤器或者是实现自定义过滤器
过滤器在客户端创建，通过RPC传送到服务器端，在服务器端执行过滤操作
行过滤器简单例子如下：
测试table中所有数据如下：
rowkey:****1121
列：age 值:20
列：gender 值:male
列：name 值:Chander
列：score 值:120
列：score 值:100
列：score 值:99
rowkey:*1111
列：age 值:20
列：gender 值:male
列：name 值:Chander
列：score 值:120
列：score 值:100
列：score 值:99
rowkey:1
列：age 值:20
列：gender 值:male
列：name 值:rain
rowkey:2
列：age 值:20
列：gender 值:female
列：name 值:wish
rowkey:3
列：age 值:20
列：gender 值:male
列：name 值:Joey
rowkey:4
列：age 值:20
列：gender 值:male
列：name 值:Jenny
列：score 值:90
列：score 值:100
列：score 值:100
列：score 值:90
rowkey:5
列：age 值:20
列：gender 值:male
列：name 值:Chander
列：score 值:120
列：score 值:100
列：score 值:99
rowkey:6
列：age 值:20
列：gender 值:male
列：name 值:Joey
列：score 值:100
列：score 值:100
列：score 值:90
eg1：
public static void rowFilterLESS_OR_EQUAL(String tableName, String columnFamily, String column, String condition){
System.out.println("***********************start rowFilterLESS_OR_EQUAL***************************");
Scan scan = new Scan();
scan.addColumn(Bytes.toBytes(columnFamily),Bytes.toBytes(column)); Filter f = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL, new BinaryComparator(Bytes.toBytes(condition)));
scan.setFilter(f);
HTablePool pool = new HTablePool(cfg, 1000);
try {
ResultScanner resultScanner = pool.getTable(tableName).getScanner(scan);
Result rs = resultScanner.next();
for (; rs != null; rs = resultScanner.next())
{
for (KeyValue kv : rs.list())
{
System.out.println("-------------------------------");
System.out.println("rowkey: " + new String(kv.getRow()));
System.out.println("Column Family: " + new String(kv.getFamily()));
System.out.println("Column :" + new String(kv.getQualifier()));
System.out.println("value : " + new String(kv.getValue()));
}
} } catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
System.out.println("***********************end rowFilterLESS_OR_EQUAL***************************"); }
public static void main(String[] args) {
String tableName = "wishTest1";
HBaseFilter.rowFilterLESS_OR_EQUAL(tableName, "score", "Math", "4");
}
输出：
***********************start rowFilterLESS_OR_EQUAL***************************-------------------------------
rowkey: ****1121
Column Family: score
Column :Math
value : 99
-------------------------------
rowkey: *1111
Column Family: score
Column :Math
value : 99
-------------------------------
rowkey: 4
Column Family: score
Column :Math
value : 90
-------------------------------
rowkey: 5
Column Family: score
Column :Math
value : 99
***********************end rowFilterLESS_OR_EQUAL***************************
eg2：
/*
* rowFilterRegex
*/
public static void rowFilterRegex(String tableName, String columnFamily, String column, String condition){
System.out.println("***********************start rowFilterRegex***************************");
Scan scan = new Scan();
scan.addColumn(Bytes.toBytes(columnFamily),Bytes.toBytes(column)); Filter f = new RowFilter(CompareFilter.CompareOp.EQUAL, new RegexStringComparator("\\*."));
scan.setFilter(f);
HTablePool pool = new HTablePool(cfg, 1000);
try {
ResultScanner resultScanner = pool.getTable(tableName).getScanner(scan);
Result rs = resultScanner.next();
for (; rs != null; rs = resultScanner.next())
{
for (KeyValue kv : rs.list())
{
System.out.println("-------------------------------");
System.out.println("rowkey: " + new String(kv.getRow()));
System.out.println("Column Family: " + new String(kv.getFamily()));
System.out.println("Column :" + new String(kv.getQualifier()));
System.out.println("value : " + new String(kv.getValue()));
}
} } catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
System.out.println("***********************end rowFilterRegex***************************"); }
public static void main(String[] args) {
String tableName = "wishTest1";
HBaseFilter.rowFilterRegex(tableName, "score", "Math", "\\*");
}
输出：
***********************start rowFilterRegex***************************
-------------------------------
rowkey: ****1121
Column Family: score
Column :Math
value : 99
-------------------------------
rowkey: *1111
Column Family: score
Column :Math
value : 99
***********************end rowFilterRegex***************************
eg3：
/*
* rowFilterSubstring
*/
public static void rowFilterSubstring(String tableName, String columnFamily, String column, String condition){
System.out.println("***********************start rowFilterSubstring***************************");
Scan scan = new Scan();
scan.addColumn(Bytes.toBytes(columnFamily),Bytes.toBytes(column)); Filter f = new RowFilter(CompareFilter.CompareOp.EQUAL, new RegexStringComparator("\\*"));
scan.setFilter(f);
HTablePool pool = new HTablePool(cfg, 1000);
try {
ResultScanner resultScanner = pool.getTable(tableName).getScanner(scan);
Result rs = resultScanner.next();
for (; rs != null; rs = resultScanner.next())
{
for (KeyValue kv : rs.list())
{
System.out.println("-------------------------------");
System.out.println("rowkey: " + new String(kv.getRow()));
System.out.println("Column Family: " + new String(kv.getFamily()));
System.out.println("Column :" + new String(kv.getQualifier()));
System.out.println("value : " + new String(kv.getValue()));
}
} } catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
System.out.println("***********************end rowFilterSubstring***************************"); }
public static void main(String[] args) {
String tableName = "wishTest1";
HBaseFilter.rowFilterSubstring(tableName, "score", "Math", "\\*");
}
输出同上
列簇过滤器
public static void familyFilterLess(String tableName, String condition){
Filter filter = new FamilyFilter(CompareFilter.CompareOp.LESS, new BinaryComparator(Bytes.toBytes(condition)));
Scan scan = new Scan();
scan.setFilter(filter);
HTablePool pool = new HTablePool(cfg,100);
try {
ResultScanner resultScanner = pool.getTable(tableName).getScanner(scan);
Result rs = resultScanner.next();
for (; rs != null; rs = resultScanner.next())
{
for (KeyValue kv : rs.list())
{
System.out.println("-------------------------------");
System.out.println("rowkey: " + new String(kv.getRow()));
System.out.println("Column Family: " + new String(kv.getFamily()));
System.out.println("Column :" + new String(kv.getQualifier()));
System.out.println("value : " + new String(kv.getValue()));
}
} resultScanner.close();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
} public static void main(String[] args) {
String tableName = "wishTest1";
HBaseFilter.familyFilterLess(tableName, "gender");
//HBaseFilter.rowFilterSubstring(tableName, "score", "Math", "\\*");
}
输出：
-------------------------------
rowkey: ****1121
Column Family: age
Column :
value : 20
-------------------------------
rowkey: *1111
Column Family: age
Column :
value : 20
-------------------------------
rowkey: 1
Column Family: age
Column :
value : 20
-------------------------------
rowkey: 2
Column Family: age
Column :
value : 20
-------------------------------
rowkey: 3
Column Family: age
Column :
value : 20
-------------------------------
rowkey: 4
Column Family: age
Column :
value : 20
-------------------------------
rowkey: 5
Column Family: age
Column :
value : 20
-------------------------------
rowkey: 6
Column Family: age
Column :
value : 20
列名过滤器
/*
* 列名过滤器
*/ public static void qualifierFilterLess(String tableName, String condition){
Filter filter = new QualifierFilter(CompareFilter.CompareOp.LESS, new BinaryComparator(Bytes.toBytes(condition)));
Scan scan = new Scan();
scan.setFilter(filter);
HTablePool pool = new HTablePool(cfg,100);
try {
ResultScanner resultScanner = pool.getTable(tableName).getScanner(scan);
Result rs = resultScanner.next();
for (; rs != null; rs = resultScanner.next())
{
for (KeyValue kv : rs.list())
{
System.out.println("-------------------------------");
System.out.println("rowkey: " + new String(kv.getRow()));
System.out.println("Column Family: " + new String(kv.getFamily()));
System.out.println("Column :" + new String(kv.getQualifier()));
System.out.println("value : " + new String(kv.getValue()));
}
} resultScanner.close();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
值过滤器
/*
* 值过滤器
*/ public static void valueFilterLess(String tableName, String condition){
Filter filter = new ValueFilter(CompareFilter.CompareOp.LESS, new BinaryComparator(Bytes.toBytes(condition)));
Scan scan = new Scan();
scan.setFilter(filter);
HTablePool pool = new HTablePool(cfg,100);
try {
ResultScanner resultScanner = pool.getTable(tableName).getScanner(scan);
Result rs = resultScanner.next();
for (; rs != null; rs = resultScanner.next())
{
for (KeyValue kv : rs.list())
{
System.out.println("-------------------------------");
System.out.println("rowkey: " + new String(kv.getRow()));
System.out.println("Column Family: " + new String(kv.getFamily()));
System.out.println("Column :" + new String(kv.getQualifier()));
System.out.println("value : " + new String(kv.getValue()));
}
} resultScanner.close();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
