SQL Optimization Patterns FAQs

Question 1

Can this skill help resolve N+1 query problems?

Accepted Answer

Yes, it provides clear patterns for transforming N+1 query loops into efficient batch loads or JOIN-based queries to minimize database round-trips.

Question 2

What types of indexing strategies are included?

Accepted Answer

The skill covers a wide range of strategies including B-Tree, GIN for JSONB/Search, BRIN for large tables, and partial indexes for specific data subsets.

Question 3

How does this skill help with slow database queries?

Accepted Answer

It provides systematic patterns for analyzing EXPLAIN plans to identify bottlenecks like sequential scans and recommends specific indexing or query refactoring to improve speed.

Question 4

Which database engines are supported?

Accepted Answer

While the core optimization concepts apply to most SQL databases, the skill includes specific implementation examples and syntax for PostgreSQL and MySQL.

Question 5

Is this skill useful for high-scale pagination?

Accepted Answer

Absolutely. It demonstrates why OFFSET-based pagination fails at scale and provides patterns for implementing efficient cursor-based pagination.

SQL Optimization Patterns

About

Key Features

Use Cases

SQL Optimization Patterns

About

Key Features

Use Cases