Database Performance Patterns FAQs

Question 1

Is this skill only for Supabase?

Accepted Answer

While it includes Supabase-specific optimizations, the patterns for batching, parallelizing queries, and SQL indexing are applicable to any PostgreSQL-based application.

Question 2

Does this include SQL indexing recommendations?

Accepted Answer

Absolutely. It covers foreign key indexing, partial indexes for nullable columns, and composite indexes for common query patterns, including scripts to find missing indexes.

Question 3

How do I implement parallel queries with this skill?

Accepted Answer

The skill provides a specific template for Promise.all, showing how to execute multiple independent queries simultaneously to reduce total latency by up to 66%.

Question 4

Can this skill identify N+1 query patterns in my code?

Accepted Answer

Yes, it contains logic and examples to detect N+1 loops and offers copy-paste ready templates to convert them into efficient batch fetches using Maps for O(1) lookup.

Question 5

How does this skill help with Supabase connection limits?

Accepted Answer

It provides specific database settings and coding patterns, such as batching and connection timeouts, to stay within the 60-connection limit typical of production Supabase instances.

Database Performance Patterns

Key Features

Use Cases

Database Performance Patterns

Key Features

Use Cases