我们如何使用 ORDER BY 子句创建 MySQL 视图?

我们如何使用 ORDER BY 子句创建 MySQL 视图?

我们可以使用 MySQL ORDER BY 子句对结果集中的记录进行排序。 。为了理解带有视图的 GROUP BY 子句,我们使用具有以下数据的基表“Student_info”创建一个名为“Info”的视图 –

mysql> Select * from Student_info;
+------+---------+------------+------------+
| id   | Name    | Address    | Subject    |
+------+---------+------------+------------+
| 101  | YashPal | Amritsar   | History    |
| 105  | Gaurav  | Chandigarh | Literature |
| 125  | Raman   | Shimla     | Computers  |
| 130  | Ram     | Jhansi     | Computers  |
| 132  | Shyam   | Chandigarh | Economics  |
| 133  | Mohan   | Delhi      | Computers  |
+------+---------+------------+------------+
6 rows in set (0.00 sec)

语法

Create or Replace View view_name AS Select_statements FROM table ORDER BY expression [ASC|DESC]

示例

mysql> Create or Replace View Info AS select ID, Name, Address , Subject FROM Student_info ORDER BY Name ASC;
Query OK, 0 rows affected (0.11 sec)
mysql> Select * from info;
+------+---------+------------+------------+
| ID   | Name    | Address    | Subject    |
+------+---------+------------+------------+
| 105  | Gaurav  | Chandigarh | Literature |
| 133  | Mohan   | Delhi      | Computers  |
| 130  | Ram     | Jhansi     | Computers  |
| 125  | Raman   | Shimla     | Computers  |
| 132  | Shyam   | Chandigarh | Economics  |
| 101  | YashPal | Amritsar   | History    |
+------+---------+------------+------------+
6 rows in set (0.00 sec)
mysql> Create or Replace View Info AS select ID, Name, Address , Subject FROM Student_info ORDER BY Name DESC;
Query OK, 0 rows affected (0.10 sec)
mysql> Select * from info;
+------+---------+------------+------------+
| ID   | Name    | Address    | Subject    |
+------+---------+------------+------------+
| 101  | YashPal | Amritsar   | History    |
| 132  | Shyam   | Chandigarh | Economics  |
| 125  | Raman   | Shimla     | Computers  |
| 130  | Ram     | Jhansi     | Computers  |
| 133  | Mohan   | Delhi      | Computers  |
| 105  | Gaurav  | Chandigarh | Literature |
+------+---------+------------+------------+
6 rows in set (0.00 sec)
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