Lovable database

N+1 Query Problem Causing Slow Database Performance

App performance degrades as data grows. Loading 100 items runs 101 queries (1 for items + 1 per item for related data). Database becomes bottleneck with high latency and connection pool exhaustion.

N+1 occurs when fetching parent records, then looping to fetch each child separately, instead of joining in single query.

Common Causes

  1. Fetching users, then looping to get each user's posts separately
  2. Not using select() with nested foreign table queries
  3. Loading related data in component loop instead of upfront
  4. Missing database indices on foreign key columns
  5. Eager loading not configured properly

How to Fix It

Use Supabase select() with nested queries to join in single call:

// Bad - N+1
const users = await supabase.from('users').select();
for (const user of users) {
  const posts = await supabase.from('posts').select().eq('user_id', user.id);
}

// Good - single query
const users = await supabase.from('users')
  .select('*, posts(*)')
  .limit(10);

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Frequently Asked Questions

How do I detect N+1 problems?

Check browser DevTools Network tab or Supabase Logs. Count HTTP requests - should be 1 per operation, not 1+N.

How do I use nested select?

Use notation 'table1(*, table2(*))' to include related data. Only works with foreign keys properly configured.

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