| name | postgres-patterns |
| description | PostgreSQL database patterns for query optimization, schema design, indexing, and security. Use when writing SQL or migrations, designing schemas, troubleshooting slow queries, implementing Row Level Security, tuning connection pooling, or reviewing database changes. Based on Supabase-leaning Postgres practice. |
PostgreSQL Patterns
Quick reference for PostgreSQL best practices. For deeper org-specific database reviews, follow your team's own review workflow alongside this guide.
When to Activate
- Writing SQL queries or migrations
- Designing database schemas
- Troubleshooting slow queries
- Implementing Row Level Security
- Setting up connection pooling
Quick Reference
Index Cheat Sheet
| Query Pattern | Index Type | Example |
|---|
WHERE col = value | B-tree (default) | CREATE INDEX idx ON t (col) |
WHERE col > value | B-tree | CREATE INDEX idx ON t (col) |
WHERE a = x AND b > y | Composite | CREATE INDEX idx ON t (a, b) |
WHERE jsonb @> '{}' | GIN | CREATE INDEX idx ON t USING gin (col) |
WHERE tsv @@ query | GIN | CREATE INDEX idx ON t USING gin (col) |
| Time-series ranges | BRIN | CREATE INDEX idx ON t USING brin (col) |
Data Type Quick Reference
| Use Case | Correct Type | Avoid |
|---|
| IDs | bigint or uuid | int, unindexed text IDs |
| Strings | text | varchar(255) |
| Timestamps | timestamptz | timestamp |
| Money | numeric(10,2) | float |
| Flags | boolean | varchar, int |
Common Patterns
Composite Index Order:
CREATE INDEX idx ON orders (status, created_at);
Covering Index:
CREATE INDEX idx ON users (email) INCLUDE (name, created_at);
Partial Index:
CREATE INDEX idx ON users (email) WHERE deleted_at IS NULL;
RLS Policy (Supabase auth example):
CREATE POLICY policy ON orders
USING ((SELECT auth.uid()) = user_id);
UPSERT:
INSERT INTO settings (user_id, key, value)
VALUES (123, 'theme', 'dark')
ON CONFLICT (user_id, key)
DO UPDATE SET value = EXCLUDED.value;
Cursor Pagination:
SELECT * FROM products WHERE id > $last_id ORDER BY id LIMIT 20;
Queue Processing:
UPDATE jobs SET status = 'processing'
WHERE id = (
SELECT id FROM jobs WHERE status = 'pending'
ORDER BY created_at LIMIT 1
FOR UPDATE SKIP LOCKED
) RETURNING *;
Anti-Pattern Detection
SELECT conrelid::regclass, a.attname
FROM pg_constraint c
JOIN pg_attribute a ON a.attrelid = c.conrelid AND a.attnum = ANY(c.conkey)
WHERE c.contype = 'f'
AND NOT EXISTS (
SELECT 1 FROM pg_index i
WHERE i.indrelid = c.conrelid AND a.attnum = ANY(i.indkey)
);
SELECT query, mean_exec_time, calls
FROM pg_stat_statements
WHERE mean_exec_time > 100
ORDER BY mean_exec_time DESC;
SELECT relname, n_dead_tup, last_vacuum
FROM pg_stat_user_tables
WHERE n_dead_tup > 1000
ORDER BY n_dead_tup DESC;
Configuration Review Checklist
ALTER SYSTEM SET max_connections = 100;
ALTER SYSTEM SET work_mem = '8MB';
ALTER SYSTEM SET idle_in_transaction_session_timeout = '30s';
ALTER SYSTEM SET statement_timeout = '30s';
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;
REVOKE ALL ON SCHEMA public FROM public;
SELECT pg_reload_conf();
Related
- Pair with your project's documented API and service-layer conventions when reviewing end-to-end paths that span SQL and application code.
- If you also run ClickHouse or other analytics engines, keep engine-specific guidance in separate docs you maintain for that stack.
Based on Supabase Agent Skills (credit: Supabase team) (MIT License)