Скачать или смотреть How Can You Optimize SQL Performance With ORMs? - Next LVL Programming

How Can You Optimize SQL Performance With ORMs? Are you looking for ways to improve the performance of your database interactions when using ORMs? In this video, we’ll cover essential techniques to optimize SQL performance while still enjoying the convenience of object-relational mapping tools. We’ll discuss how to choose between lazy and eager loading depending on your application's data needs, helping you reduce unnecessary database trips. You’ll learn about the importance of indexing and how to set up indexes on frequently searched columns to speed up query execution. We’ll also explore batch processing methods to handle multiple database operations efficiently, minimizing network traffic and transaction overhead. For complex queries or performance-critical tasks, writing raw SQL or stored procedures can give you more control over how your database processes commands. Caching strategies, such as using Redis or local caches, can significantly decrease the load on your database by storing frequently accessed data in memory. Additionally, selecting only the data you need, avoiding the N+1 query problem, and analyzing query execution plans are vital steps to identify and fix bottlenecks. Proper management of database connections and transactions ensures your application remains responsive and scalable. By applying these practical tips, you can maintain the ease of development offered by ORMs without sacrificing application speed and efficiency.

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