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pulse-libs/libs/database/POSTGRESQL.md
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Pulse ae39e45460 feat: biblioteca inteligente libs/ + 5 novas skills (20 skills total)
NOVAS SKILLS:
- next-best-practices      v0.1.0  (CLEAN) — Next.js App Router, RSC, caching, data
- nextjs-patterns          v1.0.0  (CLEAN) — Next.js 15: Server Actions, route handlers
- vite                     v1.0.0  (CLEAN) — env vars, aliases, proxy, CJS compat
- uncle-bob                v1.0.0  (CLEAN) — Clean Code, SOLID, Clean Architecture
- clean-code-review        v1.0.0  (CLEAN) — naming, guard clauses, anti-patterns, refactoring
- vue                      v1.0.0  (CLEAN) — Vue framework
- vue-composition-api-best-practices v1.0.0 (CLEAN) — composables, Pinia, reactivity

BIBLIOTECA INTELIGENTE libs/ (10 dominios, 11 arquivos):
- typescript/ — TS safe + generics gotchas
- react/ — Next.js App Router + Vite config
- vue/ — Composition API + Pinia
- linux/ — System diagnostic cheatsheet
- database/ — PostgreSQL + MySQL patterns
- browser/ — Chromium CLI + E2E testing
- security/ — SAST audit (OWASP Top 10)
- best-practices/ — Clean Code + SOLID + Clean Architecture
- deploy/ — Docker multi-stack + OpenClaw ops
- + INDEX.md como guia de navegacao

.learnings/ — LRN-20260519-003 criado (biblioteca compartilhada)
2026-05-19 21:03:25 -03:00

3.2 KiB

PostgreSQL — Patterns e Anti-patterns

Conexão | Schemas | JSONB | Junções | Window Functions | Migrações | EXPLAIN

Comandos Rápidos

psql "postgresql://user:pass@host:5432/db?sslmode=require"
psql -h localhost -U user -d db -c "SELECT NOW();"
psql -h host -U user -d db -f migration.sql

Schema Design

-- UUIDs para PK distribuído-friendly (ativar extensão primeiro)
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";

CREATE TABLE users (
    id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    email TEXT NOT NULL UNIQUE,
    name TEXT NOT NULL,
    role TEXT NOT NULL DEFAULT 'user' CHECK(role IN ('user','admin','moderator')),
    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);

-- Auto-update updated_at
CREATE OR REPLACE FUNCTION update_modified_column()
RETURNS TRIGGER AS $$ BEGIN NEW.updated_at = NOW(); RETURN NEW; END; $$ LANGUAGE plpgsql;

CREATE TRIGGER update_users_modtime BEFORE UPDATE ON users
FOR EACH ROW EXECUTE FUNCTION update_modified_column();

-- Enum
CREATE TYPE order_status AS ENUM ('pending','paid','shipped','cancelled');

JSONB Ops

INSERT INTO orders (metadata) VALUES ('{"source":"web","items":[{"sku":"A1","qty":2}]}'::jsonb);

SELECT * FROM orders WHERE metadata->>'source' = 'web';
SELECT * FROM orders WHERE metadata->'items' @> '[{"sku":"A1"}]'::jsonb; -- @> contains
UPDATE orders SET metadata = jsonb_set(metadata, '{source}', '"mobile"') WHERE id = '...';
SELECT metadata->>'coupon' AS coupon, COUNT(*) FROM orders GROUP BY 1;

Indexes

CREATE UNIQUE INDEX idx_users_email ON users(email);            -- único
CREATE INDEX idx_orders_user_created ON orders(user_id, created_at); -- composto
CREATE INDEX idx_orders_active ON orders(user_id, created_at)  -- parcial
  WHERE status NOT IN ('delivered','cancelled');
CREATE INDEX idx_orders_metadata ON orders USING GIN(metadata);  -- GIN para JSONB

Window Functions

SELECT date, revenue,
  SUM(revenue) OVER (ORDER BY date)       AS cumulative_revenue,  -- running total
  AVG(revenue) OVER (PARTITION BY region) AS avg_by_region,
  RANK() OVER (ORDER BY revenue DESC)      AS ranking
FROM daily_sales;

JOINS Rápidos

-- LEFT JOIN pega todos os usuários, mesmo sem pedidos
SELECT u.name, COUNT(o.id) AS order_count, COALESCE(SUM(o.total), 0) AS total_spent
FROM users u LEFT JOIN orders o ON o.user_id = u.id
GROUP BY u.id, u.name HAVING COUNT(o.id) > 5 ORDER BY total_spent DESC;

CTEs (WITH)

WITH active_users AS (
  SELECT id, name FROM users WHERE active = true
)
SELECT au.name, COUNT(o.id) AS orders
FROM active_users au LEFT JOIN orders o ON o.user_id = au.id
GROUP BY au.name;

EXPLAIN ANALYZE (antes de otimizar)

EXPLAIN ANALYZE SELECT ... -- SEMPRE antes de criar um índice

Migrations — Padrão

# Criar timestamped
psql -h host -U user -d db -f migrations/2025-06-19_add_field.sql

Checklist de Otimização

  • EXPLAIN ANALYZE antes e depois de cada mudança
  • Medir tempo de resposta alvo antes de otimizar
  • Evitar SELECT * em produção
  • Criar índices para colunas em WHERE, JOIN, ORDER BY
  • Índice parcial para subconjuntos pequenos
  • Partial/Paginado para tabelas grandes