Lesson Learned #401:Creating Dynamic Views from Multiple Tables using Stored Procedure
Recently, I encountered an intriguing scenario where our customer needed to dynamically create views based on multiple tables, allowing them to efficiently filter and aggregate data. The challenge arose when dealing with varying amounts of data, which required careful consideration for performance optimization. Through this article, I would like to share my insights and present a stored procedure that offers additional options to address this dynamic view creation requirement effectively.
Uncovering Hidden Bottlenecks in SQL Server Execution Plans
As someone learning SQL Server, I'm trying to deepen my understanding of execution plans and how SQL Server processes queries. This seems like a crucial topic for writing efficient and optimized SQL. Here are some points I’m curious about and would love to discuss: 1. Reading Execution Plans: - How do I interpret the graphical execution plans in SQL Server Management Studio (SSMS)? - What are the key operators I should focus on? 2. Query Optimization: - What common issues can I identify in an execution plan that indicate a poorly performing query? - Are there specific cases where SQL Server's query optimizer might make suboptimal decisions? 3. Indexes and Their Impact: - How do indexes influence execution plans? - What are the best practices for creating and maintaining indexes to improve performance? 4. Real-World Examples: - Are there any real-world scenarios or examples of optimizing queries based on execution plans? - What were the before-and-after results? 5. Tools and Resources: - Beyond SSMS, are there other tools or resources (e.g., books, blogs, videos) to better understand execution plans? I’d love to hear from the community about your experiences, tips, and insights regarding execution plans and query processing in SQL Server. All perspectives, whether from beginners or those with more experience, are welcome and can make this discussion valuable for everyone involved! Let’s dive into it!
