Problem: This stored procedure runs very frequently (multiple times per minute) and consumes a lot of server resources (CPU, storage reads and duration).
Change: Added indexes.
Here is what total improvement looks like:
Most SQL Servers bottleneck on Disk access (or disk “reads”).
It’s not CPU or RAM – which most customers often suspect first.
And that makes much sense. Here is why.
Inefficient queries scan (or read) much data. Data read in is stored in RAM. As more data is read in, “older” data is pushed out from RAM. If there isn’t enough RAM to keep ALL data in memory (which is often not possible), SQL Server has to read from disk – and that is the slowest operation SQL Server can do.
When the query can be tuned to read 10 rows vs. 10M – less CPU and RAM automatically are necessary. Therefore, tuning for less disk “reads” is often the primary goal.
To the end-user, nothing is more important than Speed (or Duration of the query), in any case.
Tuning to reduce CPU/RAM resources is helpful too.
When queries are tuned to need fewer resources CPU & RAM, it means that the same server now has more capacity. Which means that the same server can process double or triple the load. Which means it extends the lifespan of the same server. Which means hardware upgrades can be pushed out further into the future.