Although I understand that you cannot get rid of GROUP BY in different columns in a subquery, you can make it easier for the system.
You currently have
S.StageNumber, S.StageName, MONTH(TimeIn), DATENAME(MONTH,TimeIn), YEAR(TimeIn)
I think this is quite a bit of data to go through. Let me make some guesses:
S.StageNumber, -- int, 4 bytes S.StageName, -- string, 20 bytes MONTH(TimeIn), -- int, 4 bytes DATENAME(MONTH,TimeIn), -- string 5 bytes YEAR(TimeIn) -- int, 4 byte
Now there are some dependencies:
- If you know MONTH (number), then you also call it now
- I assume that StageName + StageNumber is unique and directly related to StageID. If not, you may need GROUP BY again in the outer layer.
That would lead us to
S.StageID, -- int, 4 bytes MONTH(TimeIn), -- int, 4 bytes YEAR(TimeIn) -- int, 4 byte
This means that sorting for GROUP BY should be performed with only 12 bytes per record instead of 37 bytes per record, it was earlier, and numbers are sorted several times faster than strings (for example, because of the upper / lower case, accents, etc.) .d.)
I tried to rewrite the request accordingly (Untested!). I also moved the Month-information sample to a separate temporary table, this should help the query optimizer a bit.
SELECT DISTINCT Month,MonthName,Year INTO
Hope this helps.