SQL Server Performance Tuning

How We Boosted SQL Performance by 40x

Updated October 29, 20252 min read

Written byMark Varnas

Improvement after tuning

40xDURATION
7,635xDISK

Reading from disk is the slowest operation SQL Server does.

Therefore, tuning for less disk “reads” is often the primary goal.

Problem

spPartsReceived stored procedure took 40,000-60,000 milliseconds to execute, causing app timeouts.

It was overdoing it with index scans, leading to excessive disk read operations.

Pre-tuning Metrics

40,000
Duration (ms)
687,157
Disk (number of reads)

Solution

  • Change: We've revised certain sections of the stored procedure.
  • Testing: We used the same test value for both old and new SP. The result set was identical, but the data row ordering was different.
  • Next steps: It is important to ensure that differences in data order will not lead to issues before implementing the change.

Before vs. After

We slashed number of disk reads from 687,157 to just 90.

No joke!

Below is a detailed breakdown.

Before:

  • Table ‘tblRcptheader’. Scan count 9, logical reads 28,911, physical reads 0
  • Table ‘tblRcptitem’. Scan count 9, logical reads 363,865, physical reads 0
  • Table ‘tblLineItems’. Scan count 9, logical reads 294,381, physical reads 0

After:

  • Table ‘tblRcptheader’. Scan count 5, logical reads 27, physical reads 0
  • Table ‘tblRcptitem’. Scan count 1, logical reads 27, physical reads 0
  • Table ‘tblLineItems’. Scan count 5, logical reads 36, physical reads 0
IO tuning report
Before After Improvement
Duration (ms)*40,000 <1,000~40x or 4,000%
Disk (number of reads)*687,15790~7,635x or 763,508%
*The numbers are an average of multiple T-SQL runs

Overall, we observed a staggering improvement, making the query duration 40 times less!

Duration (ms)

4,000
Before tuning
1,000
After tuning

Final thoughts

This case illustrates that tuning can't always be perfected.

We aim to adjust the database code to avoid other changes.

Sometimes, even with an identical result set, rows may return in a different order, potentially disrupting the app.

It's essential to collaborate with the client application team to confirm that a different row order won't cause issues.

Many will say 'it shouldn’t matter' – but with big apps, there’s always a chance of finding unexpected problems. It might not be an issue, or it might.

The point is to be careful.

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The biggest benefit has been performance gains and tuning associated with migrating to AWS and a newer version of SQL Server with Always On clustering. Red9 was integral to this process. The deep knowledge of MSSQL and combined experience of Red9 have been a huge asset during a difficult migration. Red9 found inefficient indexes and performance bottlenecks that improved latency by over 400%.

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