hbase rowkey 查询
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}