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Building Production-Grade Web Applications with Supabase

You're reading from   Building Production-Grade Web Applications with Supabase A comprehensive guide to database design, security, real-time data, storage, multi-tenancy, and more

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781837630684
Length 534 pages
Edition 1st Edition
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Author (1):
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David Lorenz David Lorenz
Author Profile Icon David Lorenz
David Lorenz
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Table of Contents (20) Chapters Close

Preface 1. Part 1:Creating the Foundations of the Ticket System App
2. Chapter 1: Unveiling the Inner Workings of Supabase and Introducing the Book’s Project FREE CHAPTER 3. Chapter 2: Setting Up Supabase with Next.js 4. Chapter 3: Creating the Ticket Management Pages, Layout, and Components 5. Part 2: Adding Multi-Tenancy and Learning RLS
6. Chapter 4: Adding Authentication and Application Protection 7. Chapter 5: Crafting Multi-Tenancy through Database and App Design 8. Chapter 6: Enforcing Tenant Permissions with RLS and Handling Tenant Domains 9. Chapter 7: Adding Tenant-Based Signups, including Google Login 10. Part 3: Managing Tickets and Interactions
11. Chapter 8: Implementing Dynamic Ticket Management 12. Chapter 9: Creating a User List with RPCs and Setting Ticket Assignees 13. Chapter 10: Enhancing Interactivity with Realtime Comments 14. Chapter 11: Adding, Securing, and Serving File Uploads with Supabase Storage 15. Part 4: Diving Deeper into Security and Advanced Features
16. Chapter 12: Avoiding Unwanted Data Manipulation and Undisclosed Exposures 17. Chapter 13: Adding Supabase Superpowers and Reviewing Production Hardening Tips 18. Index 19. Other Books You May Enjoy

Identifying database performance problems and bloat

This section is about giving you direction on how to identify performance problems – hopefully before your users do. So, here are my tips for performance analysis within Supabase:

  • Generally, in SQL, you can use the EXPLAIN statement to let the database tell you how expressions are resolved including explaining their performance impact. For example, when you run the following two statements independently, we can see that the latter will be less effective than the former, given the cost numbers the database returns:
    EXPLAIN SELECT supabase_user FROM service_users s WHERE EXISTS (
      SELECT FROM tickets t WHERE t.created_by=s.id
    );
    EXPLAIN SELECT DISTINCT(s.supabase_user) FROM service_users s
    INNER JOIN tickets t ON t.created_by = s.id;

    Both statements will output a string with an explanation similar to the following figure:

Figure 13.24: Running EXPLAIN in the SQL editor

Figure 13.24: Running EXPLAIN in the SQL editor

The higher...

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