Effective query tuning is essential for SQL Server performance. This article outlines the top five techniques for optimizing SQL queries.

Find Slow Queries

Identify and tune slow queries with this SQL snippet:

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;

Performance Basics

• Use WHERE conditions to narrow scanning scope.
• Avoid using SELECT *; specify columns.
• Use INNER JOINs instead of correlated subqueries.

EXPLAIN Command

EXPLAIN
    {YOUR_QUERY}

Helps analyze and optimize query execution plans.

Indexing Strategies

• Prioritize indexing by table usage.
• Index columns frequently used in WHERE or JOIN clauses.

FAQ

Why is tuning necessary?
To enhance performance and reduce costs.

How to detect slow queries?
Use SQL to identify and prioritize them.

What are key optimization tips?
Apply WHERE clauses, avoid SELECT *, use INNER JOINs.

How do visualization tools help?
Tools like DbVisualizer provide visual query analysis and execution plans.

Conclusion

Optimizing SQL Server queries improves performance and reduces resource costs. For more techniques and details, read the article Top five query tuning techniques for Microsoft SQL Server.