题目要求:
1、触发器
(1)在数据库mydb16_trigger中建立goods和orders表:
mysql> create table goods(
-> gid char(8) primary key,
-> name varchar(10),
-> price decimal(8,2),
-> num int);
Query OK, 0 rows affected (0.04 sec)
mysql> create table orders(
-> oid int primary key auto_increment,
-> gid char(10) not null,
-> name varchar(10),
-> price decimal(8,2),
-> onum int,
-> otime date);
Query OK, 0 rows affected (0.03 sec)
(2)使用desc查看表结构:
mysql> desc goods;
+-------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------+--------------+------+-----+---------+-------+
| gid | char(8) | NO | PRI | NULL | |
| name | varchar(10) | YES | | NULL | |
| price | decimal(8,2) | YES | | NULL | |
| num | int | YES | | NULL | |
+-------+--------------+------+-----+---------+-------+
4 rows in set (0.01 sec)
mysql> desc orders;
+-------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------+--------------+------+-----+---------+----------------+
| oid | int | NO | PRI | NULL | auto_increment |
| gid | char(10) | NO | | NULL | |
| name | varchar(10) | YES | | NULL | |
| price | decimal(8,2) | YES | | NULL | |
| onum | int | YES | | NULL | |
| otime | date | YES | | NULL | |
+-------+--------------+------+-----+---------+----------------+
6 rows in set (0.00 sec)
(3)在orders表中插入数据:
mysql> insert into goods values
-> ('A0001','橡皮',2.5,100),
-> ('B0001','小楷本',2.8,210),
-> ('C0001','铅笔',1.2,120),
-> ('D0001','计算器',28,20);
Query OK, 4 rows affected (0.01 sec)
Records: 4 Duplicates: 0 Warnings: 0
mysql> select * from goods;
+-------+--------+-------+------+
| gid | name | price | num |
+-------+--------+-------+------+
| A0001 | 橡皮 | 2.50 | 100 |
| B0001 | 小楷本 | 2.80 | 210 |
| C0001 | 铅笔 | 1.20 | 120 |
| D0001 | 计算器 | 28.00 | 20 |
+-------+--------+-------+------+
4 rows in set (0.00 sec)
(3)建立触发器,订单表中增加订单数量后,商品表商品数量同步减少对应的商品订单出数量,并测试
mysql> delimiter //
mysql> create trigger update_goods_after_insert_order
-> after insert on orders
-> for each row
-> begin
-> update goods set num = num - new.onum where gid = new.gid;
-> end //
Query OK, 0 rows affected (0.01 sec)
(4)建立触发器,实现功能:客户取消订单,恢复商品表对应商品的数量
mysql> create trigger update_goods_after_delete_order
-> after delete on orders
-> for each row
-> begin
-> update goods set num = num + old.onum where gid = old.gid;
-> end //
Query OK, 0 rows affected (0.01 sec)
(5)建立触发器,实现功能:客户修改订单,商品表对应商品数量同步更新
mysql> create trigger update_goods_after_update_order
-> after update on orders
-> for each row
-> begin
-> update goods set num = num + old.onum - new.onum where gid = new.gid;
-> end //
Query OK, 0 rows affected (0.01 sec)
(6)测试
在orders表中插入一条新的订单记录:
insert into orders (gid, name, price, onum, otime) values ('A0001', '橡皮', 2.5, 20, curdate());
查询goods表的全部内容:
mysql> select * from goods;
+-------+--------+-------+------+
| gid | name | price | num |
+-------+--------+-------+------+
| A0001 | 橡皮 | 2.50 | 80 |
| B0001 | 小楷本 | 2.80 | 210 |
| C0001 | 铅笔 | 1.20 | 120 |
| D0001 | 计算器 | 28.00 | 20 |
+-------+--------+-------+------+
4 rows in set (0.00 sec)
在orders表中删除一条订单记录:
mysql> delete from orders where oid = 1;
Query OK, 1 row affected (0.01 sec)
#查询goods表表中橡皮的数量
mysql> select * from goods;
+-------+--------+-------+------+
| gid | name | price | num |
+-------+--------+-------+------+
| A0001 | 橡皮 | 2.50 | 100 |
| B0001 | 小楷本 | 2.80 | 210 |
| C0001 | 铅笔 | 1.20 | 120 |
| D0001 | 计算器 | 28.00 | 20 |
+-------+--------+-------+------+
4 rows in set (0.00 sec)
更新一条订单记录:
mysql> select * from goods;
+-------+--------+-------+------+
| gid | name | price | num |
+-------+--------+-------+------+
| A0001 | 橡皮 | 2.50 | 80 |
| B0001 | 小楷本 | 2.80 | 210 |
| C0001 | 铅笔 | 1.20 | 120 |
| D0001 | 计算器 | 28.00 | 20 |
+-------+--------+-------+------+
4 rows in set (0.00 sec)
mysql> select * from orders;
+-----+-------+------+-------+------+------------+
| oid | gid | name | price | onum | otime |
+-----+-------+------+-------+------+------------+
| 2 | A0001 | 橡皮 | 2.50 | 20 | 2025-02-08 |
+-----+-------+------+-------+------+------------+
1 row in set (0.00 sec)
mysql> update orders set onum = 9 where oid = 2;
Query OK, 1 row affected (0.01 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> select * from goods;
+-------+--------+-------+------+
| gid | name | price | num |
+-------+--------+-------+------+
| A0001 | 橡皮 | 2.50 | 91 |
| B0001 | 小楷本 | 2.80 | 210 |
| C0001 | 铅笔 | 1.20 | 120 |
| D0001 | 计算器 | 28.00 | 20 |
+-------+--------+-------+------+
4 rows in set (0.00 sec)
2、存储过程
(1)使用数据库表:
mysql> show databases;
+--------------------+
| Database |
+--------------------+
| information_schema |
| mydb10_city |
| mydb12_journal |
| mydb13_indexdb |
| mydb14_job |
| mydb15_indexstu |
| mydb16_trigger |
| mydb1_test |
| mydb2_stuinfo |
| mydb3_employee |
| mydb4_product |
| mydb5_sales |
| mydb6_product |
| mydb7_openlab |
| mydb8_worker |
| mydb9_stusys |
| mydb_temp1 |
| mydbx_temp3 |
| mysql |
| mysql_test |
| performance_schema |
| sys |
| temp1 |
+--------------------+
23 rows in set (0.00 sec)
mysql> use mydb7_openlab;
Database changed
(2)创建提取emp_new表所有员工姓名和工资的存储过程s1
mysql> delimiter //
mysql> create procedure s1()
-> begin
-> select name, incoming as salary from emp_new;
-> end //
Query OK, 0 rows affected (0.01 sec)
(3)创建存储过程s2,实现输入员工姓名后返回员工的年龄
mysql> create procedure s2(in p_name varchar(50), out p_age int)
-> begin
-> select age into p_age from emp_new where name = p_name;
-> end //
Query OK, 0 rows affected (0.01 sec)
(4)创建一个存储过程s3,有2个参数,传入部门号,返回该部门的平均工资
mysql> create procedure s3(in p_dept int, out p_avg_salary decimal(10,2))
-> begin
-> select avg(incoming) into p_avg_salary from emp_new where dept2 = p_dept;
-> end //
Query OK, 0 rows affected (0.01 sec)
(5)测试
s1:
mysql> delimiter ;
mysql> call s1();
+------+--------+
| name | salary |
+------+--------+
| 张三 | 4000 |
| 李四 | 3500 |
| 王五 | 2000 |
| 赵六 | 7500 |
| 荣七 | 8500 |
| 牛八 | 7300 |
+------+--------+
6 rows in set (0.00 sec)
Query OK, 0 rows affected (0.01 sec)
s2:
mysql> call s2('张三',@age);
Query OK, 1 row affected (0.00 sec)
mysql> select @age
-> ;
+------+
| @age |
+------+
| 35 |
+------+
1 row in set (0.00 sec)
s3:
mysql> call s3(102,@avg);
Query OK, 1 row affected (0.00 sec)
mysql> select @avg;
+---------+
| @avg |
+---------+
| 8000.00 |
+---------+
1 row in set (0.00 sec)