Feature Improvement: Query Speed Optimization
Introduction: At Framewerx, we are dedicated to delivering great user experiences through our applications. Recently, our team encountered a challenge with the query speed of the status changing feature in Shopwerx. Slow query speeds were affecting user interactions, prompting us to embark on a thorough investigation and implement strategic enhancements to improve query optimization. In this case study, we’ll explore the steps taken to diagnose and resolve the query speed issue, resulting in a significant improvement in performance.
Problem Breakdown – Bottleneck Investigation
Diagnosing the Challenge: The first step in addressing the slow query speeds was a comprehensive diagnosis using tools such as Fiddler, Postman, SQL Server Management Studio (SSMS), and the Profiler. By deconstructing the abstracted SQL queries generated by Entity Framework (EF) Core LINQ queries, our team gained insights into the root cause of the performance bottleneck.
Strategic Utilization of Tools: Fiddler and Postman played crucial roles in capturing and analyzing HTTP traffic, while SSMS and the Profiler enabled a deep dive into the SQL queries executed by Shopwerx. This multi-tool approach allowed us to pinpoint the specific areas contributing to the slow query speeds.


Resolution & Conclusion:
Balancing Query Execution: After careful consideration, our team devised a solution to balance out the query execution by front-loading certain portions of it into memory. By converting these portions back into a query-able object, we created a more efficient structure that could accommodate OData query parameters. This strategic restructuring aimed to streamline the query execution process and enhance overall performance.

Results and Improvement: The implementation of the optimized query strategy yielded remarkable results. The statusing feature’s GET endpoints experienced a notable speed improvement of approximately 10-15 times, significantly enhancing the user experience within Shopwerx. Users can now enjoy quicker response times and smoother interactions, contributing to increased overall satisfaction with the application.
Conclusion: In addressing the query speed issue within Shopwerx’s statusing feature, our team demonstrated a commitment to delivering optimal user experiences. Through a meticulous diagnosis, the strategic use of diagnostic tools, and the implementation of an innovative query optimization strategy, we achieved a substantial improvement in performance. This case study underscores our dedication to continuous improvement and our ability to overcome challenges to deliver outstanding results.
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