Я считаю, что это проблема «подсчета количества перекрывающихся интервалов» ( эта картинка должна помочь ).Вот одно из решений этого:
DECLARE @t TABLE (UnitId INT, [Start] DATE, [End] DATE);
INSERT INTO @t VALUES
(1, '2018-01-05', '2018-01-09'),
(1, '2018-01-10', '2018-01-13'),
(2, '2018-01-04', '2018-01-15'),
(2, '2018-01-19', '2018-01-23'),
(3, '2018-01-06', '2018-01-12'),
(3, '2018-01-14', '2018-01-22');
WITH cte1(date, val) AS (
SELECT [Start], 1 FROM @t AS t
UNION ALL
SELECT [End], 0 FROM @t AS t
UNION ALL
SELECT DATEADD(DAY, 1, [End]), -1 FROM @t AS t
), cte2 AS (
SELECT date, SUM(val) OVER (ORDER BY date, val) AS usage
FROM cte1
)
SELECT date, MAX(usage) AS usage
FROM cte2
GROUP BY date
Это даст вам список всех дат, в которые счетчик использования (возможно) изменился:
date usage
2018-01-04 1
2018-01-05 2
2018-01-06 3
2018-01-09 3
2018-01-10 3
2018-01-12 3
2018-01-13 2
2018-01-14 2
2018-01-15 2
2018-01-16 1
2018-01-19 2
2018-01-22 2
2018-01-23 1
2018-01-24 0
При таком подходе вы не делаетенужна таблица календаря или rCTE, чтобы построить недостающие даты.Преобразование вышеуказанного в диапазоны (2018-01-05 ... 2018-01-15
, 2018-01-19 ... 2018-01-22
и т. Д.) Не очень сложно.
DECLARE @t TABLE (UnitId INT, [Start] DATE, [End] DATE);
INSERT INTO @t VALUES
(1, '2018-01-05', '2018-01-09'),
(1, '2018-01-10', '2018-01-13'),
(2, '2018-01-04', '2018-01-15'),
(2, '2018-01-19', '2018-01-23'),
(3, '2018-01-06', '2018-01-12'),
(3, '2018-01-14', '2018-01-22');
WITH cte1(date, val) AS (
SELECT [Start], 1 FROM @t AS t -- starting date increments counter
UNION ALL
SELECT [End], 0 FROM @t AS t -- we need all edges in the result
UNION ALL
SELECT DATEADD(DAY, 1, [End]), -1 FROM @t AS t -- end date + 1 decrements counter
), cte2 AS (
SELECT date, SUM(val) OVER (ORDER BY date, val) AS usage -- running sum for counter
FROM cte1
), cte3 AS (
SELECT date, MAX(usage) AS usage -- group multiple events on same date together
FROM cte2
GROUP BY date
), cte4 AS (
SELECT date, usage, CASE
WHEN usage > 1 AND LAG(usage) OVER (ORDER BY date) > 1 THEN 0
WHEN usage < 2 AND LAG(usage) OVER (ORDER BY date) < 2 THEN 0
ELSE 1
END AS chg -- start new group if prev and curr usage are on opposite side of 1
FROM cte3
), cte5 AS (
SELECT date, usage, SUM(chg) OVER (ORDER BY date) AS grp -- number groups for each change
FROM cte4
)
SELECT MIN(date) date1, MAX(date) date2
FROM cte5
GROUP BY grp
HAVING MIN(usage) > 1
Результат:
date1 date2
2018-01-05 2018-01-15
2018-01-19 2018-01-22