在 MySQL 表中按月选择和过滤记录?

mysqlmysqli database更新于 2025/8/30 18:20:17

您可以使用聚合函数 SUM() 和 GROUP BY 子句来实现这一点。

让我们创建一个表。创建表的查询如下 −

mysql> create table SelectPerMonthDemo
   -> (
   -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,
   -> Price int,
   -> PurchaseDate datetime
   -> );
Query OK, 0 rows affected (2.34 sec)

示例

使用 insert 在表中插入一些记录。查询如下 −

mysql> insert into SelectPerMonthDemo(Price,PurchaseDate) values(600,date_add(now(),
interval -1 month));
Query OK, 1 row affected (0.42 sec)
mysql> insert into SelectPerMonthDemo(Price,PurchaseDate) values(600,date_add(now(),
interval 2 month));
Query OK, 1 row affected (0.34 sec)
mysql> insert into SelectPerMonthDemo(Price,PurchaseDate) values(400,now());
Query OK, 1 row affected (0.20 sec)
mysql> insert into SelectPerMonthDemo(Price,PurchaseDate) values(800,date_add(now(),
interval 3 month));
Query OK, 1 row affected (0.13 sec)
mysql> insert into SelectPerMonthDemo(Price,PurchaseDate) values(900,date_add(now(),
interval 4 month));
Query OK, 1 row affected (0.10 sec)
mysql> insert into SelectPerMonthDemo(Price,PurchaseDate) values(100,date_add(now(),
interval 4 month));
Query OK, 1 row affected (0.22 sec)
mysql> insert into SelectPerMonthDemo(Price,PurchaseDate) values(1200,date_add(now(),
interval -1 month));
Query OK, 1 row affected (0.09 sec)

使用 select 语句显示表中的所有记录。查询如下 −

mysql> select *from SelectPerMonthDemo;

输出

以下是显示产品价格和购买日期的输出 −

+----+-------+---------------------+
| Id | Price | PurchaseDate        |
+----+-------+---------------------+
|  1 |  600 | 2019-01-10 22:39:30 |
|  2 |  600 | 2019-04-10 22:39:47 |
|  3 |  400 | 2019-02-10 22:40:03 |
|  4 |  800 | 2019-05-10 22:40:18 |
|  5 |  900 | 2019-06-10 22:40:29 |
|  6 |  100 | 2019-06-10 22:40:41 |
|  7 | 1200 | 2019-01-10 22:40:50 |
+----+-------+---------------------+
7 rows in set (0.00 sec)

以下查询根据购买日期按各个月份获取记录 −

mysql> select monthname(PurchaseDate) as MONTHNAME,sum(Price) from
SelectPerMonthDemo
-> group by monthname(PurchaseDate);

输出

+-----------+------------+
| MONTHNAME | sum(Price) |
+-----------+------------+
| January | 1800 |
| April | 600 |
| February | 400 |
| May | 800 |
| June | 1000 |
+-----------+------------+
5 rows in set (0.07 sec)

如果您不想要月份名称(仅需要月份数字)，则使用以下查询 −

mysql> select month(PurchaseDate),sum(Price) from SelectPerMonthDemo
-> group by month(PurchaseDate);

输出

+---------------------+------------+
| month(PurchaseDate) | sum(Price) |
+---------------------+------------+
| 1 | 1800 |
| 4 | 600 |
| 2 | 400 |
| 5 | 800 |
| 6 | 1000 |
+---------------------+------------+
5 rows in set (0.00 sec)