Communitygithub.com

postgres-patterns

PostgreSQL 데이터베이스 패턴: 쿼리 최적화, 스키마 설계, 인덱싱 및 보안. Supabase 모범 사례 기반. PostgreSQL 스키마, 인덱스 또는 RLS 정책을 설계하거나 쿼리 속도가 느릴 때 사용하세요.

postgres-patterns란 무엇인가요?

이 스킬은 PostgreSQL 데이터베이스 작업 시 빠른 참조를 제공하여 개발자가 쿼리 최적화, 스키마 설계, 인덱싱, 보안 설정을 효율적으로 수행할 수 있도록 돕습니다. 특히 Supabase 모범 사례를 기반으로 하여 실제 운영 환경에서 검증된 패턴을 제공합니다. 복합 인덱스 순서, 커버링 인덱스, 부분 인덱스, RLS 정책 최적화, UPSERT, 커서 기반 페이지네이션, 큐 처리 등 일반적인 사용 사례에 대한 실용적인 SQL 예제를 포함합니다. 또한 인덱스되지 않은 외래 키 탐지, 느린 쿼리 식별, 테이블 블로트 확인 등 안티패턴을 감지하는 쿼리도 제공하여 데이터베이스 성능을 지속적으로 모니터링하고 개선할 수 있습니다. 이 스킬은 다양한 AI 에이전트 플랫폼(Claude Code, Cursor 등)에서 사용할 수 있습니다.

지원 대상~Claude Code~Codex CLI✓Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/postgres-patterns

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

PostgreSQL 패턴

PostgreSQL 모범 사례를 위한 빠른 참고 자료입니다. 자세한 내용은 database-reviewer 에이전트를 사용하세요.

활성화 시점

  • SQL 쿼리 또는 마이그레이션 작성
  • 데이터베이스 스키마 설계
  • 느린 쿼리 문제 해결
  • 행 수준 보안(RLS) 구현
  • 연결 풀링 설정

빠른 참고 자료

인덱스 치트 시트

쿼리 패턴인덱스 유형예제
WHERE col = valueB-트리(기본값)CREATE INDEX idx ON t (col)
WHERE col > valueB-트리CREATE INDEX idx ON t (col)
WHERE a = x AND b > y복합 인덱스CREATE 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 참고

사용 사례올바른 타입피해야 할 타입
IDbigintint, 랜덤 UUID
문자열textvarchar(255)
타임스탬프timestamptztimestamp
금액numeric(10,2)float
플래그booleanvarchar, int

일반적인 패턴

복합 인덱스 순서:

-- 동등 조건 컬럼을 먼저, 범위 조건 컬럼을 나중에
CREATE INDEX idx ON orders (status, created_at);
-- 다음 쿼리에 사용: WHERE status = 'pending' AND created_at > '2024-01-01'

커버링 인덱스:

CREATE INDEX idx ON users (email) INCLUDE (name, created_at);
-- SELECT email, name, created_at에 대해 테이블 조회 회피

부분 인덱스:

CREATE INDEX idx ON users (email) WHERE deleted_at IS NULL;
-- 더 작은 인덱스, 활성 사용자만 포함

RLS 정책 (최적화):

CREATE POLICY policy ON orders
  USING ((SELECT auth.uid()) = user_id);  -- SELECT로 감싸기!

UPSERT:

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

커서 기반 페이지네이션:

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

큐 처리:

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 탐지

-- 인덱스되지 않은 외래 키 찾기
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)
  );

-- 느린 쿼리 찾기
SELECT query, mean_exec_time, calls
FROM pg_stat_statements
WHERE mean_exec_time > 100
ORDER BY mean_exec_time DESC;

-- 테이블 블로트 확인
SELECT relname, n_dead_tup, last_vacuum
FROM pg_stat_user_tables
WHERE n_dead_tup > 1000
ORDER BY n_dead_tup DESC;

설정 템플릿

-- 연결 제한 (RAM에 따라 조정)
ALTER SYSTEM SET max_connections = 100;
ALTER SYSTEM SET work_mem = '8MB';

-- 타임아웃
ALTER SYSTEM SET idle_in_transaction_session_timeout = '30s';
ALTER SYSTEM SET statement_timeout = '30s';

-- 모니터링
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;

-- 보안 기본값
REVOKE ALL ON SCHEMA public FROM public;

SELECT pg_reload_conf();

관련 항목

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

Supabase Agent Skills 기반 (출처: Supabase 팀) (MIT 라이선스)

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

관련 스킬