One way to do this is to use correlated subqueries:
SELECT DISTINCT
(SELECT MIN(opens)
FROM mytable AS t2
WHERE t2.opens <= t1.closes AND t2.closes >= t1.opens) AS start,
(SELECT MAX(closes)
FROM mytable AS t2
WHERE t2.opens <= t1.closes AND t2.closes >= t1.opens) AS end
FROM mytable AS t1
ORDER BY opens
Predicates WHEREfor correlated subqueries:
t2.opens <= t1.closes AND t2.closes >= t1.opens
, . , : - opens , - closes.
EDIT:
, :
1. |-----------|
2. |----|
3. |-----|
. 2, , .
:
SELECT MIN(start) AS start, MAX(end) AS end
FROM (
SELECT @grp := IF(@start = '1900-01-01' OR
(opens <= @end AND closes >= @start), @grp, @grp+1) AS grp,
@start := IF(@start = '1900-01-01', opens,
IF(opens <= @end AND closes >= @start,
IF (@start < opens, @start, opens), opens)) AS start,
@end := IF(@end = '1900-01-01', closes,
IF (opens <= @end AND closes >= @start,
IF (@end > closes, @end, closes), closes)) AS end
FROM mytable
CROSS JOIN (SELECT @grp := 1, @start := '1900-01-01', @end := '1900-01-01') AS vars
ORDER BY opens, DATEDIFF(closes, opens) DESC) AS t
GROUP BY grp
, opens/closes . @start, @end ( ) . , [@start - @end] , , grp .