Have you ever wondered why SQL Server generates new
execution plans for queries even if there is no change in the SQL code? This
phenomenon can cause performance degradation and impact database performance if
not managed properly. In this blog post, we will explore the reasons behind new
plan generation and how to manage them effectively.
Reasons for new plan generation:
- Statistics Update: SQL Server uses statistics to estimate the number of rows that will be returned by a query. When the statistics are updated, the query optimizer may generate a new execution plan based on the updated statistics.
- Index Changes: Changes in indexes can also affect the execution plan of a query. For example, adding or removing an index can cause the query optimizer to generate a new execution plan.
- Memory Pressure: When the SQL Server instance is under memory pressure, the query optimizer may generate a new execution plan to optimize memory usage.
- Parameter Sniffing: The query optimizer generates an execution plan based on the initial parameter values used in a query. If subsequent calls to the same query use different parameter values, the optimizer may generate a new execution plan.
- Plan Caching Issues: SQL Server caches execution plans to improve query performance. However, if the plan cache becomes full or if the plan cache is cleared, the optimizer may generate a new execution plan for a query.
Managing new plan generation:
- Keep statistics updated and monitor their impact on query performance.
- Monitor index changes and their impact on query performance.
- Monitor memory usage and adjust memory settings as needed.
- Use parameterized queries to avoid parameter sniffing issues.
- Monitor plan caching issues and manage the plan cache effectively.
In conclusion, SQL Server generates new execution plans for
queries due to various reasons such as statistics update, index changes, memory
pressure, parameter sniffing, or plan caching issues. It is important to manage
new plan generation effectively to avoid performance degradation and improve
database performance. By following the best practices mentioned in this blog
post, you can effectively manage new plan generation and ensure optimal query
performance.