skills.rest
fredericvahrenhorst
fredericvahrenhorstCOMMUNITY
Explore all skills by this author →
GitHub

postgres-patterns

Apply PostgreSQL best practices for query optimization, schema design, indexing, and security.

Updated Jul 28, 2024
Search Tags:#security#indexing#postgresql#rls#query-optimization#sql-patterns
One-click install
npx skills add https://github.com/fredericvahrenhorst/share-app --skill postgres-patterns-fredericvahrenhorst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: postgres-patterns
Source: https://github.com/fredericvahrenhorst/share-app/tree/main/.cursor/skills/postgres-patterns
Command: npx skills add https://github.com/fredericvahrenhorst/share-app --skill postgres-patterns-fredericvahrenhorst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PostgreSQL pattern guidance helps teams design efficient schemas, optimize queries, and enforce robust security using best practices and proven patterns.

Core Features & Use Cases

  • Indexing strategies using B-tree, GIN, and BRIN patterns for common queries.
  • Schema design, data modeling, normalization tips, partitioning, and relational patterns.
  • Security & compliance: Row Level Security, access control policies, and safe defaults.
  • Use cases include optimizing slow analytics queries, designing multitenant schemas, and enforcing data access rules.

Quick Start

Ask the AI to apply these patterns to your current PostgreSQL database design and queries.

Frequently Asked Questions about postgres-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize slow PostgreSQL queries for analytics workloads?▼

To implement PostgreSQL row level security, define access control policies that restrict data visibility based on user roles. This enforces robust security and compliance by ensuring users only access authorized rows.

When should I use BRIN versus GIN indexes in PostgreSQL?▼

Use BRIN indexes for large tables with naturally ordered data, and GIN indexes for composite data types or full-text search. Selecting the correct index strategy ensures efficient query optimization and schema performance.

What is the best way to design a multitenant schema in PostgreSQL?▼

Designing a multitenant schema in PostgreSQL involves applying normalization, partitioning, and relational patterns to isolate tenant data. This schema design approach maintains performance and data integrity across shared databases.

Can I use these PostgreSQL patterns with Supabase projects?▼

Yes, these PostgreSQL patterns are fully applicable to Supabase projects. You can implement schema design, query tuning, and row level security policies directly within your Supabase database environment.

What are PostgreSQL upsert patterns and when should I apply them?▼

PostgreSQL upsert patterns handle insertions and updates atomically to prevent duplicate records. Apply these SQL patterns when ingesting streaming data or synchronizing external datasets to maintain schema consistency.

Related Skills

Explore More Software Engineering Skills→
IvanWeissVanDerPolIvanWeissVanDerPol
1

sql-optimization

Optimizes SQL queries and database performance across PostgreSQL, MySQL, and SQLite.

Community
Intermediate
ysyecustysyecust
40

postgres-patterns

Apply PostgreSQL patterns for schema design, indexing, and security.

Community
Basic
dtsongdtsong
1

Schema Design

Design relational database schemas with normalization, indexes, and migration-ready SQL.

Community
Advanced
EstomEstom

database-optimizer

Analyze slow PostgreSQL and MySQL queries and optimize execution plans.

Community
Advanced