一、hbase查询方式
hbase的查询实现只提供两种方式:
- 按指定rowkey获取唯一一条记录:get方法。
- 按指定条件获取一批记录:scan方法。
实现条件查询功能使用的就是scan方式,scan在使用时有以下几点值的注意:
- scan可以通过setCaching与setBatch方法提高速度(以空间换时间)
- scan可以通过setStartRow与setEndRow来限定范围。范围越小,性能越高。
- scan可以通过setFilter方法添加过滤器,这也是分页、多条件查询的基础。
二、RowFilter使用
operator | description |
less |
小于 |
less_or_equal |
小于等于 |
equal | 等于 |
not_equal | 不等于 |
greater_or_equal | 大于等于 |
greater | 大于 |
no_op | 排除所有 |
Comparator | description |
BinaryComparator | 使用bytes.comparaTo()比较 |
BinaryPrefixComparator | 和BinaryComparator差不多,从前面开始比较 |
NullComparator | |
BitComparator | |
RegexStringComparator | 正则表达式 |
subStringComparator | 把数字当成字符串,用contains()来判断 |
import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.client.HBaseAdmin;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put;
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.CompareFilter;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.RegexStringComparator;
import org.apache.hadoop.hbase.filter.RowFilter;
import org.apache.hadoop.hbase.filter.SubstringComparator;
public class TestHbaseRowFilter {
String tableName = "test_row_filter";
Configuration config = HBaseConfiguration.create();
/**
* 部分代码来自hbase权威指南
* @throws IOException
*/
public void testRowFilter() throws IOException {
HTable table = new HTable(config, tableName);
Scan scan = new Scan();
System.out.println("小于等于row010的行");
Filter filter1 = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL,
new BinaryComparator("row010".getBytes()));
scan.setFilter(filter1);
ResultScanner scanner1 = table.getScanner(scan);
for (Result res : scanner1) {
System.out.println(res);
}
scanner1.close();
System.out.println("正则获取结尾为5的行");
Filter filter2 = new RowFilter(CompareFilter.CompareOp.EQUAL,
new RegexStringComparator(".*5[ DISCUZ_CODE_0 ]quot;));
scan.setFilter(filter2);
ResultScanner scanner2 = table.getScanner(scan);
for (Result res : scanner2) {
System.out.println(res);
}
scanner2.close();
System.out.println("包含有5的行");
Filter filter3 = new RowFilter(CompareFilter.CompareOp.EQUAL,
new SubstringComparator("5"));
scan.setFilter(filter3);
ResultScanner scanner3 = table.getScanner(scan);
for (Result res : scanner3) {
System.out.println(res);
}
scanner3.close();
System.out.println("开头是row01的");
Filter filter4 = new RowFilter(CompareFilter.CompareOp.EQUAL,
new BinaryPrefixComparator("row01".getBytes()));
scan.setFilter(filter4);
ResultScanner scanner4 = table.getScanner(scan);
for (Result res : scanner4) {
System.out.println(res);
}
scanner3.close();
}
/**
* 初始化数据
*/
public void init() {
// 创建表和初始化数据
try {
HBaseAdmin admin = new HBaseAdmin(config);
if (!admin.tableExists(tableName)) {
HTableDescriptor htd = new HTableDescriptor(tableName);
HColumnDescriptor hcd1 = new HColumnDescriptor("data");
htd.addFamily(hcd1);
HColumnDescriptor hcd2 = new HColumnDescriptor("url");
htd.addFamily(hcd2);
admin.createTable(htd);
}
HTable table = new HTable(config, tableName);
table.setAutoFlush(false);
int count = 50;
for (int i = 1; i <= count; ++i) {
Put p = new Put(String.format("row%03d", i).getBytes());
p.add("data".getBytes(), String.format("col%01d", i % 10)
.getBytes(), String.format("data%03d", i).getBytes());
p.add("url".getBytes(), String.format("col%01d", i % 10)
.getBytes(), String.format("url%03d", i).getBytes());
table.put(p);
}
table.close();
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* @param args
* @throws IOException
*/
public static void main(String[] args) throws IOException {
TestHbaseRowFilter test = new TestHbaseRowFilter();
test.init();
test.testRowFilter();
}
}
小于等于row010的行
keyvalues={row001/data:col1/1364133382268/Put/vlen=7, row001/url:col1/1364133382268/Put/vlen=6}
keyvalues={row002/data:col2/1364133382268/Put/vlen=7, row002/url:col2/1364133382268/Put/vlen=6}
keyvalues={row003/data:col3/1364133382268/Put/vlen=7, row003/url:col3/1364133382268/Put/vlen=6}
keyvalues={row004/data:col4/1364133382268/Put/vlen=7, row004/url:col4/1364133382268/Put/vlen=6}
keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
keyvalues={row006/data:col6/1364133382268/Put/vlen=7, row006/url:col6/1364133382268/Put/vlen=6}
keyvalues={row007/data:col7/1364133382268/Put/vlen=7, row007/url:col7/1364133382268/Put/vlen=6}
keyvalues={row008/data:col8/1364133382268/Put/vlen=7, row008/url:col8/1364133382268/Put/vlen=6}
keyvalues={row009/data:col9/1364133382268/Put/vlen=7, row009/url:col9/1364133382268/Put/vlen=6}
keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
正则获取结尾为5的行
keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
包行有5的行
keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
keyvalues={row050/data:col0/1364133382268/Put/vlen=7, row050/url:col0/1364133382268/Put/vlen=6}
开头是row01的
keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
keyvalues={row011/data:col1/1364133382268/Put/vlen=7, row011/url:col1/1364133382268/Put/vlen=6}
keyvalues={row012/data:col2/1364133382268/Put/vlen=7, row012/url:col2/1364133382268/Put/vlen=6}
keyvalues={row013/data:col3/1364133382268/Put/vlen=7, row013/url:col3/1364133382268/Put/vlen=6}
keyvalues={row014/data:col4/1364133382268/Put/vlen=7, row014/url:col4/1364133382268/Put/vlen=6}
keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
keyvalues={row016/data:col6/1364133382268/Put/vlen=7, row016/url:col6/1364133382268/Put/vlen=6}
keyvalues={row017/data:col7/1364133382268/Put/vlen=7, row017/url:col7/1364133382268/Put/vlen=6}
keyvalues={row018/data:col8/1364133382268/Put/vlen=7, row018/url:col8/1364133382268/Put/vlen=6}
keyvalues={row019/data:col9/1364133382268/Put/vlen=7, row019/url:col9/1364133382268/Put/vlen=6}