I have a table of events, each with a StartTime and EndTime (as type DateTime) in a MySQL Table.
I'm trying to output the sum of overlapping times and the number of events that overlapped.
What is the most efficient / simple way to perform this query in MySQL?
CREATE TABLE IF NOT EXISTS `events` (
`EventID` int(10) unsigned NOT NULL auto_increment,
`StartTime` datetime NOT NULL,
`EndTime` datetime default NULL,
PRIMARY KEY (`EventID`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=37 ;
INSERT INTO `events` (`EventID`, `StartTime`, `EndTime`) VALUES
(10001, '2009-02-09 03:00:00', '2009-02-09 10:00:00'),
(10002, '2009-02-09 05:00:00', '2009-02-09 09:00:00'),
(10003, '2009-02-09 07:00:00', '2009-02-09 09:00:00');
# if the query was run using the data above,
# the table below would be the desired output
# Number of Overlapped Events | Total Amount of Time those events overlapped.
1, 03:00:00
2, 02:00:00
3, 02:00:00
The purpose of these results is to generate a bill for hours used. (if you have one event running, you might pay 10 dollars per hour. But if two events are running, you only have to pay 8 dollars per hour, but only for the period of time you had two events running.)
解决方案
Try this:
SELECT `COUNT`, SEC_TO_TIME(SUM(Duration))
FROM (
SELECT
COUNT(*) AS `Count`,
UNIX_TIMESTAMP(Times2.Time) - UNIX_TIMESTAMP(Times1.Time) AS Duration
FROM (
SELECT @rownum1 := @rownum1 + 1 AS rownum, `Time`
FROM (
SELECT DISTINCT(StartTime) AS `Time` FROM events
UNION
SELECT DISTINCT(EndTime) AS `Time` FROM events
) AS AllTimes, (SELECT @rownum1 := 0) AS Rownum
ORDER BY `Time` DESC
) As Times1
JOIN (
SELECT @rownum2 := @rownum2 + 1 AS rownum, `Time`
FROM (
SELECT DISTINCT(StartTime) AS `Time` FROM events
UNION
SELECT DISTINCT(EndTime) AS `Time` FROM events
) AS AllTimes, (SELECT @rownum2 := 0) AS Rownum
ORDER BY `Time` DESC
) As Times2
ON Times1.rownum = Times2.rownum + 1
JOIN events ON Times1.Time >= events.StartTime AND Times2.Time <= events.EndTime
GROUP BY Times1.rownum
) Totals
GROUP BY `Count`
Result:
1, 03:00:00
2, 02:00:00
3, 02:00:00
If this doesn't do what you want, or you want some explanation, please let me know. It could be made faster by storing the repeated subquery AllTimes in a temporary table, but hopefully it runs fast enough as it is.