当MySQL中输入为null时,为date_format返回null?

IF()当输入在MySQL中为null时,使用函数为date_format返回null。语法如下-

SELECT IF(yourDateColumnName,date_format(yourDateColumnName, '%d/%m/%Y'),NULL) FROM yourTableName;

为了理解上述语法,让我们创建一个表。创建表的查询如下-

mysql> create table returnNullWhenInputIsNullDemo

   -> (

   -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,

   -> ShippingDate datetime

   -> );

现在,您可以使用insert命令在表中插入一些记录。查询如下-

mysql> insert into returnNullWhenInputIsNullDemo(ShippingDate) values('2019-01-21');

mysql> insert into returnNullWhenInputIsNullDemo(ShippingDate) values(NULL);

mysql> insert into returnNullWhenInputIsNullDemo(ShippingDate) values('2018-03-25');

mysql> insert into returnNullWhenInputIsNullDemo(ShippingDate) values(NULL);

mysql> insert into returnNullWhenInputIsNullDemo(ShippingDate) values(NULL);

mysql> insert into returnNullWhenInputIsNullDemo(ShippingDate) values('2012-04-23');

mysql> insert into returnNullWhenInputIsNullDemo(ShippingDate) values('2018-12-01');

mysql> insert into returnNullWhenInputIsNullDemo(ShippingDate) values('2016-11-13');

使用select语句显示表中的所有记录。查询如下-

mysql> select *from returnNullWhenInputIsNullDemo;

以下是输出-

+----+---------------------+

| Id | ShippingDate        |

+----+---------------------+

| 1  | 2019-01-21 00:00:00 |

| 2  | NULL                |

| 3  | 2018-03-25 00:00:00 |

| 4  | NULL                |

| 5  | NULL                |

| 6  | 2012-04-23 00:00:00 |

| 7  | 2018-12-01 00:00:00 |

| 8  | 2016-11-13 00:00:00 |

+----+---------------------+

8 rows in set (0.00 sec)

这是在MySQL中输入为null时为date_format返回null的查询-

mysql> SELECT IF(ShippingDate,date_format(ShippingDate, '%d/%m/%Y'),NULL) FROM returnNullWhenInputIsNullDemo;

以下是输出-

+-------------------------------------------------------------+

| IF(ShippingDate,date_format(ShippingDate, '%d/%m/%Y'),NULL) |

+-------------------------------------------------------------+

| 21/01/2019                                                  |

| NULL                                                        |

| 25/03/2018                                                  |

| NULL                                                        |

| NULL                                                        |

| 23/04/2012                                                  |

| 01/12/2018                                                  |

| 13/11/2016                                                  |

+-------------------------------------------------------------+

8 rows in set (0.05 sec)

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