找到自开始以来已经过去了多少个x天的间隔,以及另一个日期。

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英文:

Find how many x-day intervals have passed since outset and another date

问题

在SQL中,我可以如何计算自起始日期以来经过了多少个x天的时间间隔?

以“2023-01-11”作为起始日期的示例。对于任何后续日期,我想知道自起始日期以来经过了多少个4天的时间间隔。
例如:

  • 2023-01-13 应返回 1,因为这是第一个4天的时间间隔。
  • 2023-01-18 应返回 2,因为这是第二个4天的时间间隔。
  • 2023-02-02 应返回 6,因为这是第六个4天的时间间隔。

如果我有相应的SQL表格:

CREATE TABLE my_tbl (outset_date DATE, date_of_interest DATE);

INSERT INTO my_tbl (outset_date, date_of_interest)
VALUES ('2023-01-11', '2023-01-13'),
       ('2023-01-11', '2023-01-18'),
       ('2023-01-11', '2023-02-02');

如何编写一个选择语句来获得所需的输出:

-- 期望的输出
-- +──────────────+───────────────────+─────────────────────────────────+
-- | outset_date  | date_of_interest  | how_many_intervals_have_passed  |
-- +──────────────+───────────────────+─────────────────────────────────+
-- | 2023-01-11   | 2023-01-13        | 1                               |
-- | 2023-01-11   | 2023-01-18        | 2                               |
-- | 2023-01-11   | 2023-02-02        | 6                               |
-- +──────────────+───────────────────+─────────────────────────────────+

如果没有一个"惯用"的SQL语法,我会选择使用MySQL或PostgreSQL。谢谢!

英文:

In SQL, how can I calculate how many x-day intervals have passed since outset date?

Consider 2023-01-11 as an example for such an "outset date". For any subsequent date, I want to know how many 4-day intervals have passed since the outset date.
For example:

💚 2023-01-13 should return 1, because it's the first 4-day interval.

💙 2023-01-18 should return 2, because it's the second 4-day interval.

💜 2023-02-02 should return 6, because it's the sixth 4-day interval.

## # January 2023
##    Su        Mo        Tu        We        Th        Fr        Sa     
## -----------------------------------------------------------------------
## |1        |2        |3        |4        |5        |6        |7        |
## |         |         |         |         |         |         |         |
## |         |         |         |         |         |         |         |
## |         |         |         |         |         |         |         |
## |         |         |         |         |         |         |         |
## -----------------------------------------------------------------------
## |8        |9        |10       |11       |12       |13       |14       |
## |         |         |         |         |         |         |         |
## |         |         |         |*outset* |         |💚       |         |
## |         |         |         |<<=======|=========|=========|=======>>|
## |         |         |         |         |         |         |         |
## -----------------------------------------------------------------------
## |15       |16       |17       |18       |19       |20       |21       |
## |         |         |         |         |         |         |         |
## |         |         |         |💙       |         |         |         |
## |<<+++++++|+++++++++|+++++++++|+++++++>>|<<@@@@@@@|@@@@@@@@@|@@@@@@@@@|
## |         |         |         |         |         |         |         |
## -----------------------------------------------------------------------
## |22       |23       |24       |25       |26       |27       |28       |
## |         |         |         |         |         |         |         |
## |         |         |         |         |         |         |         |
## |@@@@@@@>>|<<#######|#########|#########|#######>>|<<*******|*********|
## |         |         |         |         |         |         |         |
## -----------------------------------------------------------------------
## |29       |30       |31       |1        |2        |3        |4        |
## |         |         |         |         |         |         |         |
## |         |         |         |         |💜       |         |         |
## |*********|*******>>|<<~~~~~~~|~~~~~~~~~|~~~~~~~~~|~~~~~~~>>|         |
## |         |         |         |         |         |         |         |
## -----------------------------------------------------------------------

So if I have the corresponding SQL table:

CREATE TABLE my_tbl (outset_date DATE, date_of_interest DATE);

INSERT INTO my_tbl (outset_date, date_of_interest)
VALUES ('2023-01-11', '2023-01-13'),
       ('2023-01-11', '2023-01-18'),
       ('2023-01-11', '2023-02-02');

How can I write a select statement to get the desired output:

-- desired output
-- +──────────────+───────────────────+─────────────────────────────────+
-- | outset_date  | date_of_interest  | how_many_intervals_have_passed  |
-- +──────────────+───────────────────+─────────────────────────────────+
-- | 2023-01-11   | 2023-01-13        | 1                               |
-- | 2023-01-11   | 2023-01-18        | 2                               |
-- | 2023-01-11   | 2023-02-02        | 6                               |
-- +──────────────+───────────────────+─────────────────────────────────+

If there isn't an "idimoatic" SQL syntax for this, I'd opt for either MySQL or PostgreSQL. Thanks!

答案1

得分: 1

以下是已翻译的内容:

MySQL的基本解决方案:

SELECT 
    outset_date, 
    date_of_interest, 
    CEIL(DATEDIFF(date_of_interest, outset_date) / 4) how_many_intervals_have_passed  
FROM my_tbl;

在这里测试SQL

PostgreSQL的解决方案如下:

SELECT 
    outset_date, 
    date_of_interest, 
    CEIL((date_of_interest - outset_date)::numeric / 4) how_many_intervals_have_passed  
FROM my_tbl;
英文:

The basic solution for MySQL:

SELECT 
    outset_date, 
    date_of_interest, 
    CEIL(DATEDIFF(date_of_interest, outset_date) / 4) how_many_intervals_have_passed  
FROM my_tbl;

test SQL here

PostgreSQL solution below:

SELECT 
    outset_date, 
    date_of_interest, 
    CEIL((date_of_interest - outset_date)::numeric / 4) how_many_intervals_have_passed  
FROM my_tbl;

答案2

得分: 1

为了计算两个日期之间的天数差异,您需要从较早的日期中减去较早的日期,即"2023-01-13" - "2023-01-11" = 2

在您的情况下,您需要获取两个日期之间的天数,包括第一个和最后一个日期,这意味着您需要将天数差异加1,即"2023-01-13" - "2023-01-11" + 1 = 3

要获取日期所在的4天间隔,只需将计算出的日期差异加3,然后执行整数除法除以4,即对于差异(1, 2, 3, 4),它将分别为(4/4, 5/4, 6/4, 7/4),这对于所有差异都等于1。

对于Postgres,请尝试以下操作:

select *,
  (date_of_interest - outset_date + 4) / 4 as expected 
from my_tbl

这里的+ 4表示在上述提到的基础上加1来计算两个日期之间的差异,并加3来执行整数除法。

查看演示。

对于MySQL,可以使用(datediff(date_of_interest, outset_date) + 4) div 4,其中div运算符用于执行整数除法。

英文:

To count the difference between two dates in days, you need to subtract the oldest date from the earliest one, i.e. "2023-01-13" - "2023-01-11" = 2

In your case, you need the number of days between the two dates including the first and last dates, this means you need to add 1 day to the difference in days, i.e. "2023-01-13" - "2023-01-11" + 1 = 3

To get the 4 days interval in which a date lies, simply add 3 to the calculated date difference then perform integer division by 4. i.e. for differences (1, 2, 3, 4) it will be (4/4, 5/4, 6/4, 7/4) which equals to 1 for all.

For Postgres try the following:

select *,
  (date_of_interest - outset_date + 4) / 4 as expected 
from my_tbl

The + 4 here is +1 to calculate the difference between the two dates inclusively as mentioned above, and +3 to perform the integer division.

See demo.

For MySQL, it will be (datediff(date_of_interest, outset_date) + 4) div 4, where div operator is used to perform the integer division.

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  • 本文由 发表于 2023年1月9日 03:06:11
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