Journey from 82289ms to 975ms: Optimizing a Heavy Query in .NET Core

1. Introduction: The Quest for Speed
2. Unveiling the Challenge: A 82289ms Monster
3. Analyzing the Culprit: Understanding the Code
4. The Road to Optimization: Strategies Employed
5. Refactored Elegance: Witnessing the Transformation
6. Lessons Learned: Insights and Reflections
7. Conclusion: From Struggle to Success

Introduction: The Quest for Speed

In the world of software development, optimization isn’t just a goal; it’s a necessity. Recently, I embarked on a journey to tame a beast of a query that was gobbling up precious milliseconds. What began as a daunting challenge ultimately turned into a triumph of efficiency and ingenuity.

Unveiling the Challenge: A 82289ms Monster

The journey began when I encountered a query that seemed to defy the laws of efficiency. Clocking in at a staggering 82289ms, it was clear that drastic measures were needed. The culprit? A tangled web of Include and ThenInclude calls fetching a colossal number of rows from our SQL Server database.

Analyzing the Culprit: Understanding the Code

Diving into the code, I meticulously dissected each line, searching for bottlenecks and inefficiencies. It became evident that the excessive data retrieval was the primary culprit behind the sluggish performance. With approximately 60k rows being fetched, it was no wonder the query was struggling to keep pace.

The Road to Optimization: Strategies Employed

Armed with insight and determination, I set out to optimize the query. Employing a combination of techniques including eager loading, selective data retrieval, and caching, I systematically tackled each bottleneck head-on. Through careful analysis and experimentation, I fine-tuned the code, inching closer to my goal with each optimization.

Refactored Elegance: Witnessing the Transformation

The moment of truth arrived as I executed the refactored code. Anticipation hung in the air as the query sprung to life, executing with lightning speed. In a remarkable transformation, the execution time plummeted from 82289ms to a mere 975ms. The satisfaction of witnessing such a dramatic improvement was immeasurable.

Lessons Learned: Insights and Reflections

The journey of optimizing a heavy query taught me valuable lessons that extend beyond mere technical proficiency. It underscored the importance of patience, perseverance, and a willingness to challenge conventional wisdom. It also highlighted the power of collaboration and knowledge sharing within the developer community.

Conclusion: From Struggle to Success

In conclusion, the story of optimizing a heavy query in .NET Core is a testament to the endless possibilities that lie within the realm of software development. While the road may be fraught with challenges, with the right tools, techniques, and mindset, any obstacle can be overcome. As we continue to push the boundaries of what’s possible, let us embrace each challenge as an opportunity for growth and innovation.

Have you encountered similar challenges in your development journey? Share your experiences and insights in the comments below. Together, let’s celebrate the triumphs and tribulations that unite us as developers on a quest for excellence.