如何找到重叠的日期范围之间的其余部分

How to find the rest between date ranges that overlaps

我有以下mysqltable(房间)

id_user_room     username   room_name   date_from        date_to 
    1             mike        A1        2017-02-01       2017-02-10
    2             evans       A2        2017-01-20       2017-01-30
    3             mike        A3        2017-02-16       2017-02-20
    4             mike        A1        2017-03-01       2017-03-18

如果我想知道 Mike 在 2017-01-01 和 2017-05-30 之间的房间,我执行以下 SQL 查询。

SELECT room_name, date_from, date_to
FROM rooms
WHERE (date_to >= '2017-01-01' AND date_from <= '2017-05-30')
  AND username='Mike'
order by date_to ASC

此查询给出以下结果:

room_name     date_from      date_to
A1           2017-02-01     2017-02-10
A3           2017-02-16     2017-02-20
A1           2017-03-01     2017-03-18

有没有办法获得其余(相反)的日期范围?我的意思是我想知道 Mike 没有住在一个房间里的范围。对于具体示例,我想获得的结果将是以下日期范围:

2017-01-01 to 2017-01-31
2017-02-11 to 2017-02-15
2017-02-21 to 2017-02-28
2017-03-19 to 2017-05-30

非常感谢您的帮助!!!

创建房间 table,如上所述:

CREATE TABLE rooms (
    id_user_room INTEGER,
    username     CHAR(10),
    room_name    CHAR(10),
    date_from    TIMESTAMP,
    date_to      TIMESTAMP
);

INSERT INTO rooms (id_user_room, username, room_name, date_from, date_to) VALUES
(1, 'mike', 'A1', '2017-02-01', '2017-02-10'),
(2, 'evans', 'A2', '2017-01-20', '2017-01-30'),
(3, 'mike', 'A3', '2017-02-16', '2017-02-20'),
(4, 'mike', 'A1', '2017-03-01', '2017-03-18')
;

您必须创建一个辅助日期 table,类似于:

CREATE TABLE dates (
    day      TIMESTAMP
);

INSERT INTO dates (day) VALUES
('2017-01-01'),
('2017-01-02'),
('2017-01-03'),
...
('2017-12-29'),
('2017-12-30'),
('2017-12-31')
;

用这个你可以找到迈克不在房间里的日期:

CREATE TABLE empty_dates AS
SELECT
    d.day
FROM
    dates d
LEFT JOIN
    rooms r ON r.username = 'mike' AND d.day BETWEEN r.date_from AND r.date_to
WHERE
  r.id_user_room IS NULL
;

为了简洁起见,我具体化了这个查询而不是使用子查询。在其他 SQL 语言中,如 TSQL 或 PostgreSQL 我宁愿使用 CTE。现在您可以通过将此 table 与其自身连接来指定间隔的开始和结束日期。

SELECT 
    CASE WHEN ed3.day IS NULL THEN 'Start date' ELSE 'End date' END row_type,
    ed1.day
FROM
    empty_dates ed1
LEFT JOIN
    empty_dates ed2 ON DATEDIFF(ed2.day, ed1.day) = 1
LEFT JOIN
    empty_dates ed3 ON DATEDIFF(ed3.day, ed1.day) = -1
WHERE
    -- the next date is in the rooms table
    ed2.day IS NULL
    -- the previous date is in the rooms table
    OR ed3.day IS NULL
;
DROP TABLE IF EXISTS my_table;

CREATE TABLE my_table
(username VARCHAR(12) NOT NULL
,room_name CHAR(2) NOT NULL
,date_from DATE
,date_to DATE
,PRIMARY KEY  (username,room_name,date_from)
);

INSERT INTO my_table VALUES
('mike','A1','2017-02-01','2017-02-10'),
('evans','A2','2017-01-20','2017-01-30'),
('mike','A3','2017-02-16','2017-02-20'),
('mike','A1','2017-03-01','2017-03-18');

     SELECT username
          , '2017-01-01' date_from
          , MIN(date_from - INTERVAL 1 DAY) date_to 
       FROM my_table 
      GROUP 
         BY username
      UNION
     SELECT x.username
         , x.date_to + INTERVAL 1 DAY
         , MIN(y.date_from - INTERVAL 1 DAY)
       FROM my_table x
       JOIN my_table y ON y.date_to > x.date_to
        AND y.username = x.username
      GROUP 
         BY x.username
          , x.date_to
      UNION
     SELECT username
          , MAX(date_to + INTERVAL 1 DAY) 
          , '2017-05-30'
       FROM my_table 
      GROUP 
         BY username;
+----------+------------+------------+
| username | date_from  | date_to    |
+----------+------------+------------+
| evans    | 2017-01-01 | 2017-01-19 |
| mike     | 2017-01-01 | 2017-01-31 |
| mike     | 2017-02-11 | 2017-02-15 |
| mike     | 2017-02-21 | 2017-02-28 |
| evans    | 2017-01-31 | 2017-05-30 |
| mike     | 2017-03-19 | 2017-05-30 |
+----------+------------+------------+
6 rows in set (0.01 sec)

这假设所有日期都在阈值内 - 但如果它们不在阈值内,这并不是一个特别复杂的调整。