Optimize SQL Server with These Top Query Tuning Techniques

DbVisualizerDbVisualizer
2 min read

Efficient query tuning is vital for maintaining SQL Server performance. This article presents the top five techniques for optimizing queries.

Identify Slow Queries

Use the following query to find slow-running queries:

SELECT
    req.session_id,
    req.total_elapsed_time AS duration_ms,
    req.cpu_time AS cpu_time_ms,
    req.total_elapsed_time - req.cpu_time AS wait_time,
    req.logical_reads,
    SUBSTRING(REPLACE(REPLACE(SUBSTRING(ST.text, (req.statement_start_offset/2) + 1,
    ((CASE statement_end_offset
        WHEN -1 THEN DATALENGTH(ST.text)
        ELSE req.statement_end_offset)/2) + 1), CHAR(10), ' '), CHAR(13), ' '), 1, 512)  AS statement_text
FROM sys.dm_exec_requests AS req
    CROSS APPLY sys.dm_exec_sql_text(req.sql_handle) AS ST
WHERE total_elapsed_time > {YOUR_THRESHOLD}
ORDER BY total_elapsed_time DESC;

Follow Performance Basics

  • Apply WHERE conditions to limit scope.

  • Avoid SELECT *; specify required columns.

  • Prefer INNER JOINs over correlated subqueries.

Utilize EXPLAIN

EXPLAIN
    {YOUR_QUERY}

Analyze query execution steps with EXPLAIN.

Indexing Tips

  • Prioritize tables based on usage.

  • Index commonly used WHERE and JOIN columns.

FAQ

Why optimize queries?

To improve performance and reduce resource consumption.

How to find slow queries?

Use SQL to identify and prioritize slow queries.

Basic optimization tips?

Apply WHERE clauses, avoid SELECT *, use INNER JOINs.

How do tools assist?

Tools like DbVisualizer provide visual insights into queries and execution plans.

Conclusion

Proper query tuning can significantly enhance SQL Server performance and efficiency. Explore more about these techniques in the article Top five query tuning techniques for Microsoft SQL Server.

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DbVisualizer

DbVisualizer is the database client with the highest user satisfaction. It is used for development, analytics, maintenance, and more, by database professionals all over the world. It connects to all popular databases and runs on Win, macOS & Linux.