以下是语法：select * from yourTableName order by ( yourColumnName> now()) desc, (case when yourColumnName > now() then yourColumnName end) , yourColumnName desc limit 1; 让我们先创建一个表：mysql> create table DemoTable1454 ( ShippingDate date ); Query OK, 0 rows affected (0.59 sec) 使用 insert 命令在表中插入一些记录：mysql> insert into DemoTable1454 values('2019-10-01'); Query OK, 1 row affected (0.22 sec) mysql> insert into DemoTable1454 values('2019-10-03'); Query OK, 1 row affected (0.25 sec) mysql> insert into DemoTable1454 values('2019-10-05'); Query OK, 1 row affected (0.25 sec) mysql> insert ... 阅读更多

要打印，语法如下：mysql -uroot -t -e "your Select Query " -p 要实现上述语法，让我们打开命令提示符：现在，到达 MySQL bin 目录：让我们实现上述语法来轻松打印结构化的 SQL select 语句。以下是查询：这将产生以下输出：

让我们先创建一个表：mysql> create table DemoTable1453 ( CustomerId int, CustomerReviewNumber int ); Query OK, 0 rows affected (0.58 sec) 使用 insert 命令在表中插入一些记录：mysql> insert into DemoTable1453 values(10, 4); Query OK, 1 row affected (0.18 sec) mysql> insert into DemoTable1453 values(10, 4); Query OK, 1 row affected (0.08 sec) mysql> insert into DemoTable1453 values(11, 5); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable1453 values(11, 5); Query OK, 1 row affected (0.07 sec) mysql> insert into DemoTable1453 values(11, 5); Query OK, 1 ... 阅读更多

让我们先创建一个表：mysql> create table DemoTable1452 ( FavouriteColor varchar(50) ); Query OK, 0 rows affected (2.42 sec) 使用 insert 命令在表中插入一些记录：mysql> insert into DemoTable1452 values('Red'); Query OK, 1 row affected (0.31 sec) mysql> insert into DemoTable1452 values('Yellow'); Query OK, 1 row affected (0.20 sec) mysql> insert into DemoTable1452 values('Yellow'); Query OK, 1 row affected (0.18 sec) mysql> insert into DemoTable1452 values('Yellow'); Query OK, 1 row affected (0.23 sec) mysql> insert into DemoTable1452 values('Blue'); Query OK, 1 row affected (0.42 sec) mysql> insert into DemoTable1452 values('Blue'); ... 阅读更多

让我们先创建一个表：mysql> create table DemoTable1451 ( JoiningDate date ); Query OK, 0 rows affected (0.52 sec) 使用 insert 命令在表中插入一些记录：mysql> insert into DemoTable1451 values('2019-07-21'); Query OK, 1 row affected (0.07 sec) mysql> insert into DemoTable1451 values('2018-01-31'); Query OK, 1 row affected (0.09 sec) mysql> insert into DemoTable1451 values('2017-06-01'); Query OK, 1 row affected (0.20 sec) 使用 select 语句显示表中的所有记录：mysql> select * from DemoTable1451;这将产生以下输出：+-------------+ | JoiningDate | +-------------+ | 2019-07-21 | | 2018-01-31 | ... 阅读更多

假设我们要查找与当前日期匹配的记录。由于我们只想显示一次重复的匹配记录，因此使用 LIMIT。例如，当前日期为：2019-10-02 让我们先创建一个表：mysql> create table DemoTable1450 ( DueDate date ); Query OK, 0 rows affected (0.63 sec) 使用 insert 命令在表中插入一些记录：mysql> insert into DemoTable1450 values('2019-09-30'); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable1450 values('2019-10-02'); Query OK, 1 row affected (0.18 sec) mysql> insert into DemoTable1450 values('2019-10-02'); Query OK, 1 row affected (0.10 sec) mysql> insert into ... 阅读更多

让我们先创建一个表：mysql> create table DemoTable1449 ( PlayerId int NOT NULL AUTO_INCREMENT PRIMARY KEY, PlayerScore int ); Query OK, 0 rows affected (0.69 sec) 使用 insert 命令在表中插入一些记录：mysql> insert into DemoTable1449(PlayerScore) values(1040); Query OK, 1 row affected (0.12 sec) mysql> insert into DemoTable1449(PlayerScore) values(1450); Query OK, 1 row affected (0.34 sec) mysql> insert into DemoTable1449(PlayerScore) values(1890); Query OK, 1 row affected (0.72 sec) mysql> insert into DemoTable1449(PlayerScore) values(1650); Query OK, 1 row affected (0.25 sec) 使用 select 语句显示表中的所有记录 ... 阅读更多

让我们先创建一个表：mysql> create table DemoTable1448 ( StartDate date, EndDate date ); Query OK, 0 rows affected (0.46 sec) 使用 insert 命令在表中插入一些记录：mysql> insert into DemoTable1448 values('2019-01-21', '2019-03-22'); Query OK, 1 row affected (0.16 sec) mysql> insert into DemoTable1448 values('2019-04-05', '2019-10-10'); Query OK, 1 row affected (0.13 sec) mysql> insert into DemoTable1448 values('2019-10-01', '2019-10-29'); Query OK, 1 row affected (0.11 sec) mysql> insert into DemoTable1448 values('2018-12-31', '2019-12-31'); Query OK, 1 row affected (0.12 sec) 使用 select 语句显示表中的所有记录：mysql> ... 阅读更多

为此，您可以在 MySQL 中使用 REGEXP。假设您想要任何逗号分隔值为 90 的行记录。为此，请使用正则表达式。让我们先创建一个表：mysql> create table DemoTable1447 ( Value varchar(100) ); Query OK, 0 rows affected (0.58 sec) 使用 insert 命令在表中插入一些记录：mysql> insert into DemoTable1447 values('19, 58, 90, 56'); Query OK, 1 row affected (0.13 sec) mysql> insert into DemoTable1447 values('56, 89, 99, 100'); Query OK, 1 row affected (0.21 sec) mysql> insert into DemoTable1447 values('75, 76, 65, ... 阅读更多

要查找差异，请使用 DATEDIFF() 方法。让我们先创建一个表：mysql> create table DemoTable1446 ( DueDate date ); Query OK, 0 rows affected (1.42 sec) 使用 insert 命令在表中插入一些记录：mysql> insert into DemoTable1446 values('2019-01-21'); Query OK, 1 row affected (0.69 sec) mysql> insert into DemoTable1446 values('2019-02-01'); Query OK, 1 row affected (0.44 sec) mysql> insert into DemoTable1446 values('2019-09-30'); Query OK, 1 row affected (0.16 sec) 使用 select 语句显示表中的所有记录：mysql> select * from DemoTable1446;这将产生以下输出：+------------+ | DueDate ... 阅读更多