SQL Server is a powerful database management system that allows users to store and retrieve large amounts of data quickly and efficiently. However, as the amount of data stored in SQL Server grows, performance can begin to suffer. In this blog post, we will explore three tips for improving SQL Server performance.

Tip 1: Optimise Indexes

Indexes are essential for efficient data retrieval in SQL Server. However, poorly designed or missing indexes can severely impact performance. To optimise indexes, consider the following:

• AI driven Automatic Index Tuning is available on Azure Database
• A MissingIndex section is available in execution plans based on dynamic management views (DMVs).
• The use of the Query Store can persist index recommendations from the DMVs
• This Microsoft Learning page walks through missing index options

By optimising indexes, you can significantly improve SQL Server performance.

Tip 2: Monitor Resource Usage

SQL Server is resource intensive and can consume a significant amount of system resources. Monitoring resource usage can help you identify performance bottlenecks and make adjustments to improve performance. Consider monitoring the following resources:

• CPU usage
• Memory usage
• Disk I/O
• Network I/O
• Using a tool such as DBmarlin can show both top SQL impact and server loads

By monitoring these resources with a tool like DBmarlin, you can identify areas where SQL Server is consuming too many resources and make adjustments to improve performance.

Tip 3: Use Parameterised Queries

Parameterized queries are SQL statements that use parameters to allow for efficient and secure execution of the query. Using parameterised queries can improve performance by reducing the amount of time it takes to parse the query and reducing the risk of SQL injection attacks. To use parameterised queries, consider the following:

• Identify frequently used SQL statements using literals passed in
• Modify those SQL statements to use parameters
• Execute the parameterised queries from your application
• Use of DBmarlin Grouped Statements can identify situations where non parameterized are each consuming a small amount of resource, but added together has a significant impact.

By using parameterised queries, you can improve SQL Server performance and ensure the security of your system.

Conclusion

Monitoring SQL Server performance is essential for maintaining a fast and efficient database management system. Integrating DBmarlin into your observability stack gives you the data you need to understand if you are impacted by any of the issues discussed earlier. You can visualise performance over time, find any expensive queries with poor indexing, and identify statements that can benefit from the use of parameters.

By following these three tips, you can optimise index, resource, and query performance, and take your SQL Server performance to the next level.

Remember to always test any changes before implementing them in a production environment. With these tips in mind, you can ensure that your SQL Server system runs smoothly and efficiently.