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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T09:12:00+00:00 2026-05-13T09:12:00+00:00

When I run a certain stored procedure for the first time it takes about

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When I run a certain stored procedure for the first time it takes about 2 minutes to finish. When I run it for the second time it finished in about 15 seconds. I’m assuming that this is because everything is cached after the first run. Is it possible for me to “warm the cache” before I run this procedure for the first time? Is the cached information only used when I call the same stored procedure with the same parameters again or will it be used if I call the same stored procedure with different params?

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  1. Editorial Team
    Editorial Team
    2026-05-13T09:12:00+00:00Added an answer on May 13, 2026 at 9:12 am

    When you peform your query, the data is read into memory in blocks. These blocks remain in memory but they get “aged”. This means the blocks are tagged with the last access and when Sql Server requires another block for a new query and the memory cache is full, the least recently used block (the oldest) is kicked out of memory. (In most cases – full tables scan blocks are instantly aged to prevent full table scans overrunning memory and choking the server).

    What is happening here is that the data blocks in memory from the first query haven’t been kicked out of memory yet so can be used for your second query, meaning disk access is avoided and performance is improved.

    So what your question is really asking is “can I get the data blocks I need into memory without reading them into memory (actually doing a query)?”. The answer is no, unless you want to cache the entire tables and have them reside in memory permanently which, from the query time (and thus data size) you are describing, probably isn’t a good idea.

    Your best bet for performance improvement is looking at your query execution plans and seeing whether changing your indexes might give a better result. There are two major areas that can improve performance here:

    • creating an index where the query could use one to avoid inefficient queries and full table scans
    • adding more columns to an index to avoid a second disk read. For example, you have a query that returns columns A, and B with a where clause on A and C and you have an index on column A. Your query will use the index for column A requiring one disk read but then require a second disk hit to get columns B and C. If the index had all columns A, B and C in it the second disk hit to get the data can be avoided.
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