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How to improve performance for datetime filtering in SQL Server?

I have a problem with filtering by datetime columns.

I tried these two methods:

datefield < '2013-03-15 17:17:55.179'
datefield < CAST('2013-03-15 17:17:55.179' AS datetime)

I have a large database with over 3.000.000 main objects.

So I need to improve performance for my datetime filtering. I was reading about UNIX timestamp (convert all datetime to UNIX timestamp and then filter by this UNIX field).

I think it's a better way than filtering by datetime. But if anyone knows some other way, I would appreciate it.

My query is:

SELECT TOP (100)  ev.Title as Event_name, po.Name as POI_name, 
po.Address, po.City, po.Region, po.Country, po.Latitude, po.Longitude, ev.Start_time, 
(Select ID_Category FROM SubCategory s where ev.ID_SubCategory = s.ID_SubCategory) as ID_Category, 
ev.ID_SubCategory, ev.ID_Event, ev.ID_Channel, IDChanelEvent, 
ev.FavoriteCount, po.gmtOffset, v.IsFavorite, v1.IsFavorite  
FROM Events ev 
JOIN POI po ON ev.ID_POI = po.ID_POI 
JOIN (SELECT et.id_event as joinIdEv FROM EventTagLink et, tags t 
 WHERE t.id_tag = et.id_tag 
 AND ( t.Title = N'music' ) 
 ) as joinEvents 
 ON joinEvents.joinIdEv = ev.ID_Event 
LEFT JOIN Viewed v ON v.ID_Event = ev.ID_Event AND v.ID_User = 1 AND v.IsFavorite = 1 LEFT join Viewed v1 ON v1.ID_Event = ev.ID_Event AND v1.ID_User = 1 AND v1.IsFavorite = 0
WHERE 
--ev.GmtStop_time > '2013-03-15 14:17:55.188' AND 
po.Latitude > 41.31423 AND po.Latitude < 61.60511 
AND  po.Longitude > -6.676602 AND po.Longitude < 17.04498  
AND ev.ID_SubCategory in (3, 12, 21, 4, 30, 13, 22, 6, 14, 40, 23, 7, 32, 15, 41, 8, 50, 33, 16, 42, 25, 9, 34, 17, 35, 18, 44, 27, 36, 19, 45, 28, 37, 46, 29, 38, 47, 39, 48, 49, 10, 1, 11, 2, 20) 
--AND ev.GmtStart_time< '2013-03-15 17:17:55.179'
AND v1.IsFavorite is null

filtering by the time I commented.

If I turn off these filters, request duration is several seconds. If I turn them on then request duration is over 25 seconds.

So there is a lot of discussion about execute plans, indexes and so on. But what about UNIX timestamp, which is the main reason why I've put the question there. Would it improve performance for datetime filtering?

Thanks in advance.

question from:https://stackoverflow.com/questions/17381875/how-to-improve-performance-for-datetime-filtering-in-sql-server

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Just a suggestion when it comes to indexes on datetime in msql is the index footprint impacts search times (Yes this seems obvious...but please read onward).

The importances to this when indexing on the datetime say for instance '2015-06-05 22:47:20.102' the index has to account for every place within the datetime. This becomes very large spatially and bulky. A successful approach that I've leveraged is create a new datetime column and populate the data by rounding the time to the hour and then building the index upon this new column. Example '2015-06-05 22:47:20.102' translates to '2015-06-05 22:00:00.000'. By taking this approach we leave the detailed data alone and can display it or use it by search on this new column which gives us approximately a 10x (at minimum) return on how fast results are returned. This is due to the fact that the index doesn't have to account for the minutes, seconds and millisecond fields.


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