MySQL 等價於 Sybase ASE 命令?


MySQL 等價於 sybase ASE 命令是 EXPLAIN 關鍵字。我們首先建立一個表 -

mysql> create table DemoTable1531
   -> (
   -> StudentId int NOT NULL AUTO_INCREMENT PRIMARY KEY,
   -> StudentName varchar(20)
   -> );
Query OK, 0 rows affected (2.92 sec)
mysql> create index Name_index1 on DemoTable1531(StudentName);
Query OK, 0 rows affected (0.99 sec)
Records: 0  Duplicates: 0  Warnings: 0

使用 insert 命令在表中插入一些記錄 -

mysql> insert into DemoTable1531(StudentName) values('Chris');
Query OK, 1 row affected (0.19 sec)
mysql> insert into DemoTable1531(StudentName) values('Robert');
Query OK, 1 row affected (0.10 sec)
mysql> insert into DemoTable1531(StudentName) values('David');
Query OK, 1 row affected (0.12 sec)
mysql> insert into DemoTable1531(StudentName) values('Mike');
Query OK, 1 row affected (0.12 sec)
mysql> insert into DemoTable1531(StudentName) values('Carol');
Query OK, 1 row affected (0.09 sec)

使用 select 語句顯示錶中的所有記錄 -

mysql> select * from DemoTable1531;

這將產生以下輸出 -

+-----------+-------------+
| StudentId | StudentName |
+-----------+-------------+
|         5 | Carol       |
|         1 | Chris       |
|         3 | David       |
|         4 | Mike        |
|         2 | Robert      |
+-----------+-------------+
5 rows in set (0.00 sec)

以下是實現 MySQL 等價於 Sybase ASE 的查詢 -

mysql> EXPLAIN select * from DemoTable1531 where StudentName='Mike';

這將產生以下輸出 -

+----+-------------+---------------+------------+------+---------------+-------------+---------+-------+------+----------+-------------+
| id | select_type | table         | partitions | type | possible_keys | key         | key_len | ref   | rows | filtered | Extra       |
+----+-------------+---------------+------------+------+---------------+-------------+---------+-------+------+----------+-------------+
|  1 | SIMPLE      | DemoTable1531 | NULL       | ref  | Name_index1   | Name_index1 | 63      | const |    1 | 100.00   | Using index |
+----+-------------+---------------+------------+------+---------------+-------------+---------+-------+------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

更新於: 12-12-2019

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