HiveQL – 选择分组依据

本章解释 SELECT 语句中 GROUP BY 子句的详细信息。GROUP BY 子句用于使用特定的集合列对结果集中的所有记录进行分组。它用于查询一组记录。

句法

GROUP BY 子句的语法如下：

SELECT [ALL | DISTINCT] select_expr, select_expr, ... 
FROM table_reference 
[WHERE where_condition] 
[GROUP BY col_list] 
[HAVING having_condition] 
[ORDER BY col_list]] 
[LIMIT number];

例子

让我们以 SELECT…GROUP BY 子句为例。假设员工表如下所示，包含 Id、Name、Salary、Designation 和 Dept 字段。生成查询以检索每个部门的员工人数。

+------+--------------+-------------+-------------------+--------+ 
| ID   | Name         | Salary      | Designation       | Dept   |
+------+--------------+-------------+-------------------+--------+ 
|1201  | Gopal        | 45000       | Technical manager | TP     | 
|1202  | Manisha      | 45000       | Proofreader       | PR     | 
|1203  | Masthanvali  | 40000       | Technical writer  | TP     | 
|1204  | Krian        | 45000       | Proofreader       | PR     | 
|1205  | Kranthi      | 30000       | Op Admin          | Admin  |
+------+--------------+-------------+-------------------+--------+

以下查询使用上述场景检索员工详细信息。

hive> SELECT Dept,count(*) FROM employee GROUP BY DEPT;

成功执行查询后，您将看到以下响应：

+------+--------------+ 
| Dept | Count(*)     | 
+------+--------------+ 
|Admin |    1         | 
|PR    |    2         | 
|TP    |    3         | 
+------+--------------+

JDBC程序

下面给出的是为给定示例应用 Group By 子句的 JDBC 程序。

import java.sql.SQLException;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.Statement;
import java.sql.DriverManager;

public class HiveQLGroupBy {
   private static String driverName = "org.apache.hadoop.hive.jdbc.HiveDriver";
   
   public static void main(String[] args) throws SQLException {
   
      // Register driver and create driver instance
      Class.forName(driverName);
      
      // get connection
      Connection con = DriverManager.
      getConnection("jdbc:hive://localhost:10000/userdb", "", "");
      
      // create statement
      Statement stmt = con.createStatement();
      
      // execute statement
      Resultset res = stmt.executeQuery(“SELECT Dept,count(*) ” + “FROM employee GROUP BY DEPT; ”);
      System.out.println(" Dept \t count(*)");
      
      while (res.next()) {
         System.out.println(res.getString(1) + " " + res.getInt(2)); 
      }
      con.close();
   }
}

将程序保存在名为 HiveQLGroupBy.java 的文件中。使用以下命令编译并执行该程序。

$ javac HiveQLGroupBy.java
$ java HiveQLGroupBy

输出：

 Dept     Count(*)
 Admin       1
 PR          2
 TP          3