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hbase RowFilter如何根据rowkey查询以及实例实现代码

程序员文章站 2022-04-14 16:02:00
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问题导读：
1.如何根据rowkey模糊查询？
2.如何使用Comparator过滤rowkey？
3.如何查询rowkey中包含有某字符串的数据?

hbase RowFilter如何根据rowkey查询以及实例实现代码 博客分类： 技术总结NOSql hbaseRowFilterrowkey查询代码 



RowFilter用于过滤row key
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.compareTo()比较
BinaryPrefixComparator 和BinaryComparator差不多，从前面开始比较
NullComparator Does not compare against an actual value but whether a given one is null, or not  null.
BitComparator Performs a bitwise comparison, providing a BitwiseOp class with OR, and XOR operators.
RegexStringComparator 正则表达式
SubstringComparator 把数据当成字符串，用contains()来判断

 

  1. import java.io.IOException;
  3. import org.apache.hadoop.conf.Configuration;
  4. import org.apache.hadoop.hbase.HBaseConfiguration;
  5. import org.apache.hadoop.hbase.HColumnDescriptor;
  6. import org.apache.hadoop.hbase.HTableDescriptor;
  7. import org.apache.hadoop.hbase.client.HBaseAdmin;
  8. import org.apache.hadoop.hbase.client.HTable;
  9. import org.apache.hadoop.hbase.client.Put;
  10. import org.apache.hadoop.hbase.client.Result;
  11. import org.apache.hadoop.hbase.client.ResultScanner;
  12. import org.apache.hadoop.hbase.client.Scan;
  13. import org.apache.hadoop.hbase.filter.BinaryComparator;
  14. import org.apache.hadoop.hbase.filter.BinaryPrefixComparator;
  15. import org.apache.hadoop.hbase.filter.CompareFilter;
  16. import org.apache.hadoop.hbase.filter.Filter;
  17. import org.apache.hadoop.hbase.filter.RegexStringComparator;
  18. import org.apache.hadoop.hbase.filter.RowFilter;
  19. import org.apache.hadoop.hbase.filter.SubstringComparator;
  21. public class TestHbaseRowFilter {
  22.         String tableName = "test_row_filter";
  23.         Configuration config = HBaseConfiguration.create();
  25.         
  26.         public void testRowFilter() throws IOException {
  28.                 HTable table = new HTable(config, tableName);
  29.                 Scan scan = new Scan();
  31.                 System.out.println("小于等于row010的行");
  32.                 Filter filter1 = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL,
  33.                                 new BinaryComparator("row010".getBytes()));
  34.                 scan.setFilter(filter1);
  35.                 ResultScanner scanner1 = table.getScanner(scan);
  36.                 for (Result res : scanner1) {
  37.                         System.out.println(res);
  38.                 }
  39.                 scanner1.close();
  41.                 System.out.println("正则获取结尾为5的行");
  42.                 Filter filter2 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  43.                                 new RegexStringComparator(".*5[        DISCUZ_CODE_0        ]quot;));
  44.                 scan.setFilter(filter2);
  45.                 ResultScanner scanner2 = table.getScanner(scan);
  46.                 for (Result res : scanner2) {
  47.                         System.out.println(res);
  48.                 }
  49.                 scanner2.close();
  51.                 System.out.println("包含有5的行");
  52.                 Filter filter3 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  53.                                 new SubstringComparator("5"));
  54.                 scan.setFilter(filter3);
  55.                 ResultScanner scanner3 = table.getScanner(scan);
  56.                 for (Result res : scanner3) {
  57.                         System.out.println(res);
  58.                 }
  59.                 scanner3.close();
  61.                 System.out.println("开头是row01的");
  62.                 Filter filter4 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  63.                                 new BinaryPrefixComparator("row01".getBytes()));
  64.                 scan.setFilter(filter4);
  65.                 ResultScanner scanner4 = table.getScanner(scan);
  66.                 for (Result res : scanner4) {
  67.                         System.out.println(res);
  68.                 }
  69.                 scanner3.close();
  70.         }
  72.         
  73.         public void init() {
  74.                 // 创建表和初始化数据
  75.                 try {
  76.                         HBaseAdmin admin = new HBaseAdmin(config);
  77.                         if (!admin.tableExists(tableName)) {
  78.                                 HTableDescriptor htd = new HTableDescriptor(tableName);
  79.                                 HColumnDescriptor hcd1 = new HColumnDescriptor("data");
  80.                                 htd.addFamily(hcd1);
  81.                                 HColumnDescriptor hcd2 = new HColumnDescriptor("url");
  82.                                 htd.addFamily(hcd2);
  84.                                 admin.createTable(htd);
  85.                         }
  87.                         HTable table = new HTable(config, tableName);
  89.                         table.setAutoFlush(false);
  90.                         int count = 50;
  91.                         for (int i = 1; i <= count; ++i) {
  92.                                 Put p = new Put(String.format("rowd", i).getBytes());
  93.                                 p.add("data".getBytes(), String.format("cold", i % 10)
  94.                                                 .getBytes(), String.format("datad", i).getBytes());
  95.                                 p.add("url".getBytes(), String.format("cold", i % 10)
  96.                                                 .getBytes(), String.format("urld", i).getBytes());
  97.                                 table.put(p);
  98.                         }
  99.                         table.close();
  101.                 } catch (IOException e) {
  102.                         e.printStackTrace();
  103.                 }
  104.         }
  106.         
  107.         public static void main(String[] args) throws IOException {
  108.                 TestHbaseRowFilter test = new TestHbaseRowFilter();
  109.                 test.init();
  110.                 test.testRowFilter();
  111.         }
  113. }
复制代码
输出结果
  1. 小于等于row010的行
  2. keyvalues={row001/data:col1/1364133382268/Put/vlen=7, row001/url:col1/1364133382268/Put/vlen=6}
  3. keyvalues={row002/data:col2/1364133382268/Put/vlen=7, row002/url:col2/1364133382268/Put/vlen=6}
  4. keyvalues={row003/data:col3/1364133382268/Put/vlen=7, row003/url:col3/1364133382268/Put/vlen=6}
  5. keyvalues={row004/data:col4/1364133382268/Put/vlen=7, row004/url:col4/1364133382268/Put/vlen=6}
  6. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  7. keyvalues={row006/data:col6/1364133382268/Put/vlen=7, row006/url:col6/1364133382268/Put/vlen=6}
  8. keyvalues={row007/data:col7/1364133382268/Put/vlen=7, row007/url:col7/1364133382268/Put/vlen=6}
  9. keyvalues={row008/data:col8/1364133382268/Put/vlen=7, row008/url:col8/1364133382268/Put/vlen=6}
  10. keyvalues={row009/data:col9/1364133382268/Put/vlen=7, row009/url:col9/1364133382268/Put/vlen=6}
  11. keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
  12. 正则获取结尾为5的行
  13. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  14. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  15. keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
  16. keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
  17. keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
  18. 包行有5的行
  19. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  20. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  21. keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
  22. keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
  23. keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
  24. keyvalues={row050/data:col0/1364133382268/Put/vlen=7, row050/url:col0/1364133382268/Put/vlen=6}
  25. 开头是row01的
  26. keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
  27. keyvalues={row011/data:col1/1364133382268/Put/vlen=7, row011/url:col1/1364133382268/Put/vlen=6}
  28. keyvalues={row012/data:col2/1364133382268/Put/vlen=7, row012/url:col2/1364133382268/Put/vlen=6}
  29. keyvalues={row013/data:col3/1364133382268/Put/vlen=7, row013/url:col3/1364133382268/Put/vlen=6}
  30. keyvalues={row014/data:col4/1364133382268/Put/vlen=7, row014/url:col4/1364133382268/Put/vlen=6}
  31. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  32. keyvalues={row016/data:col6/1364133382268/Put/vlen=7, row016/url:col6/1364133382268/Put/vlen=6}
  33. keyvalues={row017/data:col7/1364133382268/Put/vlen=7, row017/url:col7/1364133382268/Put/vlen=6}
  34. keyvalues={row018/data:col8/1364133382268/Put/vlen=7, row018/url:col8/1364133382268/Put/vlen=6}
  35. keyvalues={row019/data:col9/1364133382268/Put/vlen=7, row019/url:col9/1364133382268/Put/vlen=6}

 

 

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