Boost Django Query Speed: When and Why to Use RAW SQL
In this video, I'll guide you through writing RAW SQL in Django and explain why it's significantly faster than using Django ORM. If you're looking to boost the performance of your Django applications, understanding and implementing RAW SQL can be a game-changer.
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🔍 What You’ll Learn:
Why Use RAW SQL in Django? Understand the scenarios where RAW SQL outperforms Django ORM.
Writing RAW SQL Queries: Step-by-step tutorial on how to write RAW SQL in Django.
Performance Comparison: See a side-by-side comparison of query execution times between RAW SQL and Django ORM.
Best Practices: Learn best practices for safely and effectively using RAW SQL in your Django projects.
💡 Why This Video is Important:
Many developers rely solely on Django ORM for database interactions, but it’s not always the most efficient method. By understanding and leveraging RAW SQL, you can drastically improve the performance of your Django applications, especially when dealing with complex queries or large datasets.
👨🏫 About the Author:
I have over 3 years of experience as a backend developer, specializing in Django and Django Rest Framework. I’m passionate about teaching advanced backend development concepts in an easy-to-understand manner. Subscribe to my channel for more tutorials and tips on optimizing your Django projects.
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⏲ Timestamps
00:00 - Comparing SQL and Django ORM
01:13 - Agenda of the Video
01:46 - What are transactions in DBMS
02::07 - What is ATOMICITY
03:29 - Important news for Django developer
05:50 - Writing RAW SQL in Django
07:15 - Getting one record using raw SQL
08:14 - Getting all records in raw SQL
09:56 - Inserting record using SQL
11:52 - Atomicity in Django SQL
13:50 - Pro tips about using RAW SQL
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