We have a SQL database that stores application usage logs for about 3000 PCs. These PCs send their usage data to the SQL server around 10-20 times per day. We used to store only the most recent 60 days of application usage, but the customer asked us to no longer purge data. Now that we have about a year's worth of data (about 6,000,000 rows), the SQL database is suffering from some performance issues. Not significant, mind you, but far more than any other database we have. There are a significant number of records added each hour (application open records), and within a few hours at most that record will be updated just once with the associated application close. It is these updates that you can see via SQL Activity Monitor that are taking considerable time to complete.
That UPDATE query is simple:
SELECT TOP 1 f_ID from tb_applicationusage WHERE f_application = 'xxxxxxx' AND f_computername = 'xxxxxxxxx' AND f_endtime IS NULL ORDER BY f_starttime DESC
Effectively, it finds the most recent matching application start for a specific machine that doesn't yet have an associated application close. I can't think of a more efficient way to run the query, so I'm considering the following alternative:
Move to two databases:
- Working database with only the most recent 24 hours worth of records
- Final database with all other records
I'm no SQL guru, so I'm probably missing some drawbacks of this method. The goal would be to just have a SQL Agent job move the completed records over to the final database every night. Then, when the customer wants to run their monthly reports, I can just have that report query only the final database and not the working database. With only maybe 10,000 records to query in the working database instead of 6,000,000 it would seem logical that it would work faster. But again, it seems so simple I'm probably missing something obvious.
Version: Microsoft SQL Server 2008 R2