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How can I optimize the database performance of my Codev generation application to prevent query latency as the data volume grows?

2025-09-10 1.6 K
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The Complete Guide to Supabase Database Performance Optimization

Codev integrates Supabase by default (PostgreSQL compatible), and you can ensure that the database runs efficiently by doing the following:

  • Index Optimization: In the automatically generated SQL table structure, B-tree indexes are automatically created for the primary key, and composite indexes should be added manually for high-frequency query fields.
  • Query Optimization::
    1. Use Supabase's .select() method to qualify return fields
    2. Use of paged queries for large amounts of data (.range() method)
    3. Avoid complex JOIN operations on the client side
  • Real-time subscription control: Create precise subscription channels via the .channel() method to avoid global data listening

Advanced Optimization Scenarios:

  1. Enable database hosting in the Supabase console to automatically scale resources based on traffic
  2. Use stored procedures instead of direct client queries for sensitive operations
  3. Reduce unnecessary data transfers with Supabase's RLS (row-level security) policy

Monitoring Recommendations: Codev Enterprise Edition users can integrate Supabase's Analytics panel to monitor query response times and QPS metrics in real-time.

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