MySQL 查詢,根據特定月份來選取表中的記錄?
藉助 MONTH() 函式,你可以選擇特定的月份。其語法如下 −
SELECT yourColumnName FROM yourTableName WHERE MONTH(yourColumnName) = yourValue;
為了理解上述語法,我們建立一個表。建立表的查詢如下 −
mysql> create table UserLoginTimeInformation -> ( -> UserId int NOT NULL AUTO_INCREMENT PRIMARY KEY, -> UserLoginDatetime datetime -> ); Query OK, 0 rows affected (0.55 sec)
使用插入命令在表中插入一些記錄。查詢如下 −
mysql> insert into UserLoginTimeInformation(UserLoginDatetime) values(date_add(now(), interval 3 month)); Query OK, 1 row affected (0.14 sec) mysql> insert into UserLoginTimeInformation(UserLoginDatetime) values('2013-05-13 13:45:34'); Query OK, 1 row affected (0.17 sec) mysql> insert into UserLoginTimeInformation(UserLoginDatetime) values('2013-06-11 12:41:04'); Query OK, 1 row affected (0.19 sec) mysql> insert into UserLoginTimeInformation(UserLoginDatetime) values('2012-05-25 15:03:24'); Query OK, 1 row affected (0.23 sec) mysql> insert into UserLoginTimeInformation(UserLoginDatetime) values('2017-05-21 12:12:40'); Query OK, 1 row affected (0.10 sec) mysql> insert into UserLoginTimeInformation(UserLoginDatetime) values('2018-09-29 11:30:34'); Query OK, 1 row affected (0.10 sec) mysql> insert into UserLoginTimeInformation(UserLoginDatetime) values('2016-03-10 16:40:45'); Query OK, 1 row affected (0.27 sec)
使用 select 語句從表中顯示所有記錄。查詢如下 −
mysql> select *from UserLoginTimeInformation;
以下是輸出 −
+--------+---------------------+ | UserId | UserLoginDatetime | +--------+---------------------+ | 1 | 2019-05-13 15:01:24 | | 2 | 2013-05-13 13:45:34 | | 3 | 2013-06-11 12:41:04 | | 4 | 2012-05-25 15:03:24 | | 5 | 2017-05-21 12:12:40 | | 6 | 2018-09-29 11:30:34 | | 7 | 2016-03-10 16:40:45 | +--------+---------------------+ 7 rows in set (0.00 sec)
示例
以下是對照月份來選取表中所有記錄的查詢 −
mysql> select UserLoginDatetime from UserLoginTimeInformation where MONTH(UserLoginDatetime) = 5;
輸出
+---------------------+ | UserLoginDatetime | +---------------------+ | 2019-05-13 15:01:24 | | 2013-05-13 13:45:34 | | 2012-05-25 15:03:24 | | 2017-05-21 12:12:40 | +---------------------+ 4 rows in set (0.00 sec)
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