I had to do this before somewhere too, this is the solution I used. Basically use a row number split by your grouping columns and ordered by date, and additionally calculate the amount of days from a particular date onwards (any hard-coded day will work).
The key here is that while the row number increases 1 by 1, the anchor difference will only increase 1 by 1 if the days are consecutive. Thus, the rest between the anchor diff and the row number will stay the same only if there are consecutive dates, allowing you to group by and calculate min/max.
IF OBJECT_ID('tempdb..#Availabilities') IS NOT NULL
DROP TABLE #Availabilities
CREATE TABLE #Availabilities (
[User] INT,
Available DATE)
INSERT INTO #Availabilities
VALUES
(1, '2019-01-01'),
(1, '2019-01-02'),
(1, '2019-01-03'),
(1, '2019-01-04'),
(2, '2019-01-05'),
(2, '2019-01-06'),
(2, '2019-01-07'),
(2, '2019-01-10'),
(2, '2019-01-11'),
(2, '2019-01-12')
;WITH WindowFunctions AS
(
SELECT
A.[User],
A.Available,
AnchorDayDifference = DATEDIFF(DAY, '2018-01-01', A.Available),
RowNumber = ROW_NUMBER() OVER (PARTITION BY A.[User] ORDER BY A.Available)
FROM
#Availabilities AS A
)
SELECT
T.[User],
Start = MIN(T.Available),
[End] = MAX(T.Available)
FROM
WindowFunctions AS T
GROUP BY
T.[User],
T.AnchorDayDifference - T.RowNumber
Result:
User Start End
1 2019-01-01 2019-01-04
2 2019-01-05 2019-01-07
2 2019-01-10 2019-01-12
The WindowFunctions values are (added the posterior rest result):
User Available AnchorDayDifference RowNumber GroupingRestResult
1 2019-01-01 365 1 364
1 2019-01-02 366 2 364
1 2019-01-03 367 3 364
1 2019-01-04 368 4 364
2 2019-01-05 369 1 368
2 2019-01-06 370 2 368
2 2019-01-07 371 3 368
2 2019-01-10 374 4 370
2 2019-01-11 375 5 370
2 2019-01-12 376 6 370