数据结构
网络
RDBMS
操作系统
Java
MS Excel
iOS
HTML
CSS
Android
Python
C 编程
C++
C#
MongoDB
MySQL
Javascript
PHP
物理学
化学
生物学
数学
英语
经济学
心理学
社会学
时尚研究
法律研究忽略 MySQL 查询中的日期范围中的年份？
若要忽略日期范围中的年份，请在 between 子句中使用 DATE_FORMAT()。我们首先创建一个演示表。创建表的查询如下所示 -
mysql> create table igonreYearDemo -> ( -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY, -> ShippingDate date -> ); Query OK, 0 rows affected (0.75 sec)
使用 insert 命令在表中插入一些记录。查询如下所示 -
mysql> insert into igonreYearDemo(ShippingDate) values('2016-01-31');
Query OK, 1 row affected (0.16 sec)
mysql> insert into igonreYearDemo(ShippingDate) values('2018-01-31');
Query OK, 1 row affected (0.13 sec)
mysql> insert into igonreYearDemo(ShippingDate) values('2015-06-23');
Query OK, 1 row affected (0.17 sec)
mysql> insert into igonreYearDemo(ShippingDate) values('2015-06-23');
Query OK, 1 row affected (0.15 sec)
mysql> insert into igonreYearDemo(ShippingDate) values('2014-02-01');
Query OK, 1 row affected (0.20 sec)
mysql> insert into igonreYearDemo(ShippingDate) values('2019-01-31');
Query OK, 1 row affected (0.16 sec)
mysql> insert into igonreYearDemo(ShippingDate) values('2019-02-14');
Query OK, 1 row affected (0.11 sec)
mysql> insert into igonreYearDemo(ShippingDate) values('2019-03-12');
Query OK, 1 row affected (0.19 sec)使用 select 语句显示表中的所有记录。查询如下所示 -
mysql> select *from igonreYearDemo;
以下是输出 -
+----+--------------+ | Id | ShippingDate | +----+--------------+ | 1 | 2016-01-31 | | 2 | 2018-01-31 | | 3 | 2015-06-23 | | 4 | 2015-06-23 | | 5 | 2014-02-01 | | 6 | 2019-01-31 | | 7 | 2019-02-14 | | 8 | 2019-03-12 | +----+--------------+ 8 rows in set (0.00 sec)
以下是对指定日期范围忽略年份的查询 -
mysql> select *from igonreYearDemo tbl where DATE_FORMAT(tbl.ShippingDate, '%m-%d') between '01-01' and '03-31';
以下是输出 -
+----+--------------+ | Id | ShippingDate | +----+--------------+ | 1 | 2016-01-31 | | 2 | 2018-01-31 | | 5 | 2014-02-01 | | 6 | 2019-01-31 | | 7 | 2019-02-14 | | 8 | 2019-03-12 | +----+--------------+ 6 rows in set (0.00 sec)
更新于： 30-Jul-2019
527 浏览次数
广告