When Should I Use Raw SQL Over ORM For Better Performance? - Server Logic Simplified
When Should I Use Raw SQL Over ORM For Better Performance? Are you curious about how to optimize your database interactions for better performance? In this video, we'll explore when it's best to use raw SQL instead of an ORM. We'll start by explaining what raw SQL is and how it gives you direct control over your database queries. You'll learn why raw SQL can be more efficient for complex operations involving multiple joins or subqueries that might slow down ORM-generated queries. We’ll also discuss scenarios where large data sets can cause performance issues with ORMs, and how raw SQL can help you fetch only the data you need for faster responses. Additionally, we’ll cover how raw SQL simplifies debugging by showing the exact queries sent to your database, making it easier to identify and fix bottlenecks. We’ll compare this approach to the convenience and safety features offered by ORMs, which are ideal for quick development and simple data manipulations. You’ll discover how many ORMs support executing raw SQL directly, allowing you to combine both methods for optimal results. Whether you’re building a real-time system or working with complex data structures, understanding when to switch between raw SQL and ORM can help you develop more efficient backend systems. Subscribe to our channel for more tips on making backend development straightforward and accessible.
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About Us: Welcome to Server Logic Simplified! Our channel is dedicated to making backend development accessible and straightforward. We focus on topics such as APIs, databases, server-side logic, and more. Our content covers REST API, GraphQL, SQL, NoSQL, and popular backend frameworks like Node.js, Django, Flask, Ruby on Rails, and Java Spring Boot. Whether you're interested in authentication, cloud hosting, or mastering backend architecture and server management, we've got you covered with practical tutorials and essential tips.
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