package com.ghgj.hbase;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.HTable;
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.BinaryComparator;
import org.apache.hadoop.hbase.filter.BinaryPrefixComparator;
import org.apache.hadoop.hbase.filter.ByteArrayComparable;
import org.apache.hadoop.hbase.filter.ColumnPrefixFilter;
import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp;
import org.apache.hadoop.hbase.filter.FamilyFilter;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.MultipleColumnPrefixFilter;
import org.apache.hadoop.hbase.filter.PageFilter;
import org.apache.hadoop.hbase.filter.PrefixFilter;
import org.apache.hadoop.hbase.filter.QualifierFilter;
import org.apache.hadoop.hbase.filter.RegexStringComparator;
import org.apache.hadoop.hbase.filter.RowFilter;
import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;
import org.apache.hadoop.hbase.filter.SubstringComparator;
import org.apache.hadoop.hbase.util.Bytes;
import org.junit.Test;
public class HbasePageDemo {
// 声明静态配置
static Configuration conf = null;
private static final String ZK_CONNECT_STR =
"hadoop01:2181,hadoop02:2181,hadoop03:2181,hadoop04:2181,hadoop05:2181";
static {
conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum", ZK_CONNECT_STR);
}
public static void main(String[] args) throws Exception {
String tableName = "testfilter";
String cfName = "f1";
final byte[] POSTFIX = new byte[] { 0x00 };
HTable table = new HTable(conf, tableName);
Filter filter = new PageFilter(3);
byte[] lastRow = null;
int totalRows = 0;
while (true) {
Scan scan = new Scan();
scan.setFilter(filter);
if(lastRow != null){
//注意这里添加了 POSTFIX 操作，用来重置扫描边界
byte[] startRow = Bytes.add(lastRow,POSTFIX);
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);
} /
**
* 多种过滤条件的使用方法
* @throws Exception
*/
@Test
public void testScan() throws Exception{
HTable table = new HTable(conf, "person".getBytes());
Scan scan = new Scan(Bytes.toBytes("person_zhang_000001"),
Bytes.toBytes("person_zhang_000002"));
//前缀过滤器----针对行键
Filter filter = new PrefixFilter(Bytes.toBytes("person"));
//行过滤器 ---针对行键
ByteArrayComparable rowComparator = new
BinaryComparator(Bytes.toBytes("person_zhang_000001"));
RowFilter rf = new RowFilter(CompareOp.LESS_OR_EQUAL, rowComparator);
rf = new RowFilter(CompareOp.EQUAL , new
SubstringComparator("_2016-12-31_"));
//单值过滤器 1 完整匹配字节数组
new SingleColumnValueFilter("base_info".getBytes(), "name".getBytes(),
CompareOp.EQUAL, "zhangsan".getBytes());
//单值过滤器 2 匹配正则表达式
ByteArrayComparable comparator = new RegexStringComparator("zhang.");
new SingleColumnValueFilter("info".getBytes(), "NAME".getBytes(),
CompareOp.EQUAL, comparator);
//单值过滤器 3 匹配是否包含子串,大小写不敏感
comparator = new SubstringComparator("wu");
new SingleColumnValueFilter("info".getBytes(), "NAME".getBytes(),
CompareOp.EQUAL, comparator);
//键值对元数据过滤-----family 过滤----字节数组完整匹配
FamilyFilter ff = new FamilyFilter(CompareOp.EQUAL ,
new BinaryComparator(Bytes.toBytes("base_info")) //表中不存
在 inf 列族，过滤结果为空
);
//键值对元数据过滤-----family 过滤----字节数组前缀匹配
ff = new FamilyFilter(
CompareOp.EQUAL ,
new BinaryPrefixComparator(Bytes.toBytes("inf")) //表中存在以
inf 打头的列族 info，过滤结果为该列族所有行
);
//键值对元数据过滤-----qualifier 过滤----字节数组完整匹配
filter = new QualifierFilter(
CompareOp.EQUAL ,
new BinaryComparator(Bytes.toBytes("na")) //表中不存在 na
列，过滤结果为空
);
filter = new QualifierFilter(
CompareOp.EQUAL ,
new BinaryPrefixComparator(Bytes.toBytes("na")) //表中存在以
na 打头的列 name，过滤结果为所有行的该列数据
);
//基于列名(即 Qualifier)前缀过滤数据的 ColumnPrefixFilter
filter = new ColumnPrefixFilter("na".getBytes());
//基于列名(即 Qualifier)多个前缀过滤数据的 MultipleColumnPrefixFilter
byte[][] prefixes = new byte[][] {Bytes.toBytes("na"), Bytes.toBytes("me")};
filter = new MultipleColumnPrefixFilter(prefixes);
//为查询设置过滤条件
scan.setFilter(filter);
scan.addFamily(Bytes.toBytes("base_info"));
//一行
// Result result = table.get(get);
//多行的数据
ResultScanner scanner = table.getScanner(scan);
for(Result r : scanner){
/**
for(KeyValue kv : r.list()){
String family = new String(kv.getFamily());
System.out.println(family);
String qualifier = new String(kv.getQualifier());
System.out.println(qualifier);
System.out.println(new String(kv.getValue()));
}
*/
//直接从 result 中取到某个特定的 value
byte[] value = http://www.mamicode.com/r.getValue(Bytes.toBytes("base_info"),
Bytes.toBytes("name"));
System.out.println(new String(value));
}
table.close();
}
}