如何从MySQL表中的特定月份和年份获取记录？

使用YEAR()和MONTH()分别显示特定月份和年份的记录。让我们首先创建一个表-

mysql> create table DemoTable
   (
   CustomerId int NOT NULL AUTO_INCREMENT PRIMARY KEY,
   CustomerName varchar(20),
   CustomerTotalBill int,
   PurchasingDate date
   );

使用插入命令在表中插入一些记录-

mysql> insert into DemoTable(CustomerName,CustomerTotalBill,PurchasingDate) values('John',2000,'2019-01-21');

mysql> insert into DemoTable(CustomerName,CustomerTotalBill,PurchasingDate) values('Chris',1000,'2019-01-31');

mysql> insert into DemoTable(CustomerName,CustomerTotalBill,PurchasingDate) values('Robert',4500,'2018-01-01');

mysql> insert into DemoTable(CustomerName,CustomerTotalBill,PurchasingDate) values('Sam',5500,'2017-02-12');

mysql> insert into DemoTable(CustomerName,CustomerTotalBill,PurchasingDate) values('Carol',500,'2016-01-12');

使用select语句显示表中的所有记录-

mysql> select *from DemoTable;

这将产生以下输出-

+------------+--------------+-------------------+----------------+
| CustomerId | CustomerName | CustomerTotalBill | PurchasingDate |
+------------+--------------+-------------------+----------------+
| 1          | John         | 2000              | 2019-01-21     |
| 2          | Chris        | 1000              | 2019-01-31     |
| 3          | Robert       | 4500              | 2018-01-01     |
| 4          | Sam          | 5500              | 2017-02-12     |
| 5          | Carol        | 500               | 2016-01-12     |
+------------+--------------+-------------------+----------------+
5 rows in set (0.00 sec)

以下是查询以显示MySQL中特定月份和年份的记录-

mysql> select *from DemoTable WHERE YEAR(DATE(PurchasingDate))=2019 AND MONTH(DATE(PurchasingDate)) = 01;

这将产生以下输出-

+------------+--------------+-------------------+----------------+
| CustomerId | CustomerName | CustomerTotalBill | PurchasingDate |
+------------+--------------+-------------------+----------------+
| 1          | John         | 2000              | 2019-01-21     |
| 2          | Chris        | 1000              | 2019-01-31     |
+------------+--------------+-------------------+----------------+
2 rows in set (0.03 sec)