Postgres Patterns

affaan-m/ECC/docs/ko-KR/skills/postgres-patterns

by affaan-mef648e01899ba3e8dc6371642deaaf64b4477775No license275K starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated 4 days ago

쿼리 최적화, 스키마 설계, 인덱싱, 보안을 위한 PostgreSQL 데이터베이스 패턴. Supabase 모범 사례 기반.

AI-generated overview

PostgreSQL reference patterns for query optimization, schema design, indexing, security, and configuration.

What it does
Provides a quick-reference guide to PostgreSQL best practices, including an index cheat sheet, data type recommendations, and common SQL patterns such as composite, covering, and partial indexes, RLS policies, upserts, cursor pagination, and queue processing. It also includes anti-pattern detection queries for unindexed foreign keys, slow queries, and table bloat, plus configuration templates for connection limits, timeouts, monitoring, and security defaults. The skill is instructions only and produces no files or scripts.
When to use it
Use it when writing SQL queries or migrations, designing a database schema, troubleshooting slow queries, implementing Row Level Security, or setting up connection pooling.
Requirements
No tools, packages, or credentials are required beyond the agent; it is instructions only and ships no scripts. Some referenced queries assume PostgreSQL extensions such as pg_stat_statements.

PostgreSQL 패턴

PostgreSQL 모범 사례 빠른 참조. 자세한 가이드는 database-reviewer 에이전트를 사용하세요.

활성화 시점

  • SQL 쿼리 또는 마이그레이션을 작성할 때
  • 데이터베이스 스키마를 설계할 때
  • 느린 쿼리를 문제 해결할 때
  • Row Level Security를 구현할 때
  • 커넥션 풀링을 설정할 때

빠른 참조

인덱스 치트 시트

쿼리 패턴인덱스 유형예시
WHERE col = valueB-tree (기본값)CREATE INDEX idx ON t (col)
WHERE col > valueB-treeCREATE INDEX idx ON t (col)
WHERE a = x AND b > yCompositeCREATE INDEX idx ON t (a, b)
WHERE jsonb @> '{}'GINCREATE INDEX idx ON t USING gin (col)
WHERE tsv @@ queryGINCREATE INDEX idx ON t USING gin (col)
시계열 범위BRINCREATE INDEX idx ON t USING brin (col)

데이터 타입 빠른 참조

사용 사례올바른 타입지양
IDbigintint, random UUID
문자열textvarchar(255)
타임스탬프timestamptztimestamp
금액numeric(10,2)float
플래그booleanvarchar, int

일반 패턴

복합 인덱스 순서:

sql
-- Equality columns first, then range columnsCREATE INDEX idx ON orders (status, created_at);-- Works for: WHERE status = 'pending' AND created_at > '2024-01-01'

커버링 인덱스:

sql
CREATE INDEX idx ON users (email) INCLUDE (name, created_at);-- Avoids table lookup for SELECT email, name, created_at

부분 인덱스:

sql
CREATE INDEX idx ON users (email) WHERE deleted_at IS NULL;-- Smaller index, only includes active users

RLS 정책 (최적화):

sql
CREATE POLICY policy ON orders  USING ((SELECT auth.uid()) = user_id);  -- Wrap in SELECT!

UPSERT:

sql
INSERT INTO settings (user_id, key, value)VALUES (123, 'theme', 'dark')ON CONFLICT (user_id, key)DO UPDATE SET value = EXCLUDED.value;

커서 페이지네이션:

sql
SELECT * FROM products WHERE id > $last_id ORDER BY id LIMIT 20;-- O(1) vs OFFSET which is O(n)

큐 처리:

sql
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 *;

안티패턴 감지

sql
-- Find unindexed foreign keysSELECT conrelid::regclass, a.attnameFROM pg_constraint cJOIN 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)  );
-- Find slow queriesSELECT query, mean_exec_time, callsFROM pg_stat_statementsWHERE mean_exec_time > 100ORDER BY mean_exec_time DESC;
-- Check table bloatSELECT relname, n_dead_tup, last_vacuumFROM pg_stat_user_tablesWHERE n_dead_tup > 1000ORDER BY n_dead_tup DESC;

구성 템플릿

sql
-- Connection limits (adjust for RAM)ALTER SYSTEM SET max_connections = 100;ALTER SYSTEM SET work_mem = '8MB';
-- TimeoutsALTER SYSTEM SET idle_in_transaction_session_timeout = '30s';ALTER SYSTEM SET statement_timeout = '30s';
-- MonitoringCREATE EXTENSION IF NOT EXISTS pg_stat_statements;
-- Security defaultsREVOKE ALL ON SCHEMA public FROM public;
SELECT pg_reload_conf();

관련 항목

  • 에이전트: database-reviewer - 전체 데이터베이스 리뷰 워크플로우
  • 스킬: clickhouse-io - ClickHouse 분석 패턴
  • 스킬: backend-patterns - API 및 백엔드 패턴

Supabase Agent Skills 기반 (크레딧: Supabase 팀) (MIT License)

Source and attribution

Source:affaan-m/ECCindocs/ko-KR/skills/postgres-patternsat commitef648e0

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