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法律在 MySQL 中存储每周事件的最佳方法是什么？
让我们看看在 MySQL 中存储每周事件的最佳方法。为此，首先创建一个新表，并为每一天都包含字段。
mysql> create table WeeklyEventDemo -> ( -> ID int NOT NULL AUTO_INCREMENT PRIMARY KEY, -> EventName varchar(20), -> Monday tinyint(1), -> Tuesday tinyint(1), -> Wednesday tinyint(1), -> Thursday tinyint(1), -> Friday tinyint(1), -> Saturday tinyint(1), -> Sunday tinyint(1), -> StartDate date, -> EndDate date -> ); Query OK, 0 rows affected (0.55 sec)
使用 insert 命令向表中插入一些记录。查询如下所示 -
mysql> insert into WeeklyEventDemo(EventName,Monday,Tuesday,Wednesday,Thursday,Friday,Saturday,Sunday,StartDate,EndDate) values('Event-1',0,0,0,0,1,0,0,'2018-03-21','2019-03-08');
Query OK, 1 row affected (0.14 sec)
mysql> insert into WeeklyEventDemo(EventName,Monday,Tuesday,Wednesday,Thursday,Friday,Saturday,Sunday,StartDate,EndDate) values('Event-2',0,0,0,0,0,1,0,'2018-03-21','2019-03-08');
Query OK, 1 row affected (0.16 sec)使用 select 语句显示表中的所有记录。查询如下所示 -
mysql> select *from WeeklyEventDemo;
以下是输出
+----+-----------+--------+---------+-----------+----------+--------+----------+--------+------------+------------+ | ID | EventName | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday | StartDate | EndDate | +----+-----------+--------+---------+-----------+----------+--------+----------+--------+------------+------------+ | 1 | Event-1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2018-03-21 | 2019-03-08 | | 2 | Event-2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2018-03-21 | 2019-03-08 | +----+-----------+--------+---------+-----------+----------+--------+----------+--------+------------+------------+ 2 rows in set (0.00 sec)
以下是 MySQL 中按周获取事件的查询
mysql> select *from WeeklyEventDemo where Friday=1;
以下是输出
+----+-----------+--------+---------+-----------+----------+--------+----------+--------+------------+------------+ | ID | EventName | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday | StartDate | EndDate | +----+-----------+--------+---------+-----------+----------+--------+----------+--------+------------+------------+ | 1 | Event-1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2018-03-21 | 2019-03-08 | +----+-----------+--------+---------+-----------+----------+--------+----------+--------+------------+------------+ 1 row in set (0.00 sec)
更新日期： 30-Jul-2019
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