I have the following table which contains values read every 15 minutes from several different devices:
ID DeviceID Date Value
----------------------------------------------
1 3 24.08.2011 00:00:00 0.51
2 3 24.08.2011 00:15:00 2.9
3 3 24.08.2011 00:30:00 0
4 3 24.08.2011 00:45:00 7.1
5 3 24.08.2011 01:00:00 1.05
6 3 24.08.2011 03:15:00 3.8
I'd like to find all the gaps in the table for each device, where there are no entries, for a given month. For the table above, the result should be something like this:
DeviceID StartDate EndDate
-------------------------------------------------------
3 24.08.2011 01:00:00 24.08.2011 03:15:00
The table has roughly 35000 devices and 100 million entries.
This is what I tried; it's rather slow, but returns what I need. However, besides its speed, there's another problem: it only finds missing intervals up to the last entry for a device in the given month; anything after that will be ignored, so it's possible to miss an extra interval of missing values.
SELECT
t2.Date AS StartDate
, t1.Date AS EndDate
FROM
TestTable t1
INNER JOIN TestTable t2 ON t1.DeviceID = t2.DeviceID
WHERE
(t2.Date = (SELECT MAX(Date) FROM TestTable t3 WHERE t3.Date < t1.Date AND t3.DeviceID = t1.DeviceID)
AND DATEDIFF(MINUTE, t2.Date, t1.Date) > 15)
AND t1.DeviceID = @id
AND DATEPART(YEAR, t1.Date) = @year AND DATEPART(MONTH, t1.Date) = @month
ROW_NUMBER()
as well). – Insistent