I'm having a problem with a slow query. Consider the table tblVotes - and it has two columns - VoterGuid, CandidateGuid. It holds votes cast by voters to any number of candidates.
There are over 3 million rows in this table - with about 13,000 distinct voters casting votes to about 2.7 million distinct candidates. The total number of rows in the table is currently 6.5 million.
What my query is trying to achieve is getting - in the quickest and most cache-efficient way possible (we are using SQL Express) - the top 1000 candidates based on the number of votes they have received.
The code is:
SELECT CandidateGuid, COUNT(*) CountOfVotes
FROM dbo.tblVotes
GROUP BY CandidateGuid
HAVING COUNT(*) > 1
ORDER BY CountOfVotes DESC
... but this takes a scarily long time to run on SQL express when there is a very full table.
Can anybody suggest a good way to speed this up and get it running in quick time? CandidateGuid is indexed individually - and there is a composite primary key on CandidateGuid+VoterGuid.