列出时间线和计数重叠

编程问答 2022-05-28

问题描述

我有以下示例数据集...

CREATE TABLE timeline (
id INT(6) UNSIGNED AUTO_INCREMENT PRIMARY KEY,name VARCHAR(30) NOT NULL,s_t DATETIME,e_t DATETIME,quantity INT(3)
);

INSERT INTO timeline
(`id`,`name`,`s_t`,`e_t`,`quantity`)
VALUES
(NULL,"joe","2021-01-15 10:00:00","2021-01-15 14:00:00","1"),(NULL,"2021-01-15 15:00:00","2021-01-15 18:00:00","2021-01-15 19:00:00","2021-01-15 21:00:00","frank","2021-01-15 13:00:00","bob","harry","2021-01-17 14:00:00","2021-01-17 17:00:00","2021-01-17 10:00:00","2021-01-17 15:00:00","2021-01-17 08:00:00","2021-01-17 11:00:00","1");

https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=a126a50d9a612bb1603e381d65a3a734

我试图在没有重叠时间时获得 1 PER NAME 的 SUM，而在有重叠时间时获得 2 或更多的 SUM。
（不需要有“注释”栏 - 这只是为了说明我的观点。）

id 名称 开始 end 总计 注意
7 bob 2021-01-15 10:00:00 2021-01-15 14:00:00 1
9 bob 2021-01-15 19:00:00 2021-01-15 21:00:00 1
8 bob 2021-01-15 15:00:00 2021-01-15 18:00:00 1
4 坦率 2021-01-15 10:00:00 2021-01-15 14:00:00 2 重叠
5 坦率 2021-01-15 13:00:00 2021-01-15 18:00:00 2 重叠
6 坦率 2021-01-15 19:00:00 2021-01-15 21:00:00 1
12 哈利 2021-01-17 08:00:00 2021-01-17 11:00:00 2 重叠
11 哈利 2021-01-17 10:00:00 2021-01-17 15:00:00 3 2 个重叠
10 哈利 2021-01-17 14:00:00 2021-01-17 17:00:00 2 重叠
1 乔 2021-01-15 10:00:00 2021-01-15 14:00:00 1
2 乔 2021-01-15 15:00:00 2021-01-15 18:00:00 1
3 乔 2021-01-15 19:00:00 2021-01-15 21:00:00 1

解决方法

考虑以下...

SELECT x.*,COUNT(*) total,GROUP_CONCAT(y.id) overlaps
  FROM timeline x  
  JOIN timeline y 
    ON y.s_t <= x.e_t 
   AND y.e_t >= x.s_t 
   AND y.name = x.name
 GROUP 
    BY x.id;
+----+-------+---------------------+---------------------+----------+-------+----------+
| id | name  | s_t                 | e_t                 | quantity | total | overlaps |
+----+-------+---------------------+---------------------+----------+-------+----------+
|  1 | joe   | 2021-01-15 10:00:00 | 2021-01-15 14:00:00 |        1 |     1 | 1        |
|  2 | joe   | 2021-01-15 15:00:00 | 2021-01-15 18:00:00 |        1 |     1 | 2        |
|  3 | joe   | 2021-01-15 19:00:00 | 2021-01-15 21:00:00 |        1 |     1 | 3        |
|  4 | frank | 2021-01-15 10:00:00 | 2021-01-15 14:00:00 |        1 |     2 | 4,5      |
|  5 | frank | 2021-01-15 13:00:00 | 2021-01-15 18:00:00 |        1 |     2 | 5,4      |
|  6 | frank | 2021-01-15 19:00:00 | 2021-01-15 21:00:00 |        1 |     1 | 6        |
|  7 | bob   | 2021-01-15 10:00:00 | 2021-01-15 14:00:00 |        1 |     1 | 7        |
|  8 | bob   | 2021-01-15 15:00:00 | 2021-01-15 18:00:00 |        1 |     1 | 8        |
|  9 | bob   | 2021-01-15 19:00:00 | 2021-01-15 21:00:00 |        1 |     1 | 9        |
| 10 | harry | 2021-01-17 14:00:00 | 2021-01-17 17:00:00 |        1 |     2 | 10,11    |
| 11 | harry | 2021-01-17 10:00:00 | 2021-01-17 15:00:00 |        1 |     3 | 11,12,10 |
| 12 | harry | 2021-01-17 08:00:00 | 2021-01-17 11:00:00 |        1 |     2 | 12,11    |
+----+-------+---------------------+---------------------+----------+-------+----------+
mysqltimeline