SQL Optimization Patterns FAQs

Name: SQL Optimization Patterns
Author: ccf

Question 1

Can this skill help resolve N+1 query issues in my code?

Accepted Answer

Yes, it provides specific architectural patterns to identify N+1 problems and replace them with efficient JOINs or batch loading strategies.

Question 2

How does this skill assist with large-scale pagination?

Accepted Answer

It provides implementation details for cursor-based pagination, which is significantly faster than traditional OFFSET/LIMIT approaches for large datasets.

Question 3

Does it provide guidance on index types?

Accepted Answer

Yes, it covers when to use B-Tree, Hash, GIN, and BRIN indexes, as well as how to create composite, partial, and covering indexes for maximum performance.

Question 4

Can Claude analyze my specific query plans with this skill?

Accepted Answer

Absolutely. Use this skill to help Claude interpret EXPLAIN and EXPLAIN ANALYZE output to pinpoint exactly where a query is losing time.

Question 5

Which databases are supported by these optimization patterns?

Accepted Answer

While many examples focus on PostgreSQL and MySQL, the core optimization principles and patterns apply to most relational databases including SQL Server and SQLite.

SQL Optimization Patterns

About

Key Features

Use Cases

SQL Optimization Patterns

About

Key Features

Use Cases