supabase-postgres-best-practices

Name: supabase-postgres-best-practices
Availability: InStock
Author: JetBrains

Identify and optimize PostgreSQL bottlenecks in schemas, queries, and configuration.

302|22|Updated Feb 12, 2026

Search Tags:#performance #rls #partitioning #indexes #postgres #vacuum

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npx skills add https://github.com/JetBrains/skills --skill supabase-postgres-best-practices-jetbrains

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Skill: supabase-postgres-best-practices
Source: https://github.com/JetBrains/skills/tree/main/postgres-best-practices
Command: npx skills add https://github.com/JetBrains/skills --skill supabase-postgres-best-practices-jetbrains

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This guide consolidates PostgreSQL performance best practices to help developers optimize queries, schemas, and configurations for reliable, scalable databases.

Core Features & Use Cases

Broad coverage of indexing strategies, partitioning, RLS, VACUUM/ANALYZE, and query optimization to reduce latency and resource usage.
Practical, production-oriented patterns for common PostgreSQL workloads including OLTP and analytics, plus migration-safe guidance.
Real-world scenarios and decision points to guide schema design, maintenance, and monitoring for stable performance.

Quick Start

Analyze a production workload baseline and apply targeted improvements using the guidelines in this skill.

Frequently Asked Questions about supabase-postgres-best-practices

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

FAQPage Schema

What's the best way to optimize PostgreSQL query performance for a production workload?▼

To optimize PostgreSQL query performance, analyze your production workload baseline and apply targeted improvements using indexing strategies, query optimization, and EXPLAIN ANALYZE monitoring to reduce latency and resource usage.

How do I choose the right indexing strategy for my PostgreSQL database?▼

Choosing the right PostgreSQL indexing strategy requires evaluating your specific workload patterns. Apply industry best practices to your schema and queries to ensure indexes effectively reduce latency for both OLTP and analytics workloads.

When do I need table partitioning in PostgreSQL?▼

You need PostgreSQL table partitioning when managing large datasets that cause query bottlenecks. Partitioning distributes data across smaller tables, improving query performance and maintenance for high-volume production systems.

How does VACUUM and ANALYZE work for PostgreSQL maintenance?▼

VACUUM and ANALYZE maintain PostgreSQL performance by reclaiming storage from deleted rows and updating query planner statistics. Regular maintenance ensures stable performance and reliable query optimization across your database.

Does Row Level Security (RLS) impact PostgreSQL performance?▼

Row Level Security (RLS) can impact PostgreSQL performance if policies are not optimized. Applying best practices to RLS configuration ensures access control policies do not become bottlenecks in your query execution.

Are these PostgreSQL best practices suitable for both OLTP and analytics workloads?▼

Yes, these PostgreSQL best practices provide production-oriented patterns for common workloads including OLTP and analytics. They offer migration-safe guidance for schema design and configuration across different database environments.