- name
- postgres-patterns
- description
- PostgreSQL 数据库模式,涵盖查询优化、模式设计、索引和安全性。基于 Supabase 最佳实践。 Use when this capability is needed.
- metadata
- {"author":"codelably"}
# PostgreSQL 模式(Patterns)
PostgreSQL 最佳实践快速参考。如需详细指导,请使用 `database-reviewer` 智能体(Agent)。
## 何时激活
- 编写 SQL 查询或迁移(Migrations)
- 设计数据库模式(Schemas)
- 排除慢查询故障
- 实现行级安全性(Row Level Security, RLS)
- 设置连接池(Connection Pooling)
## 快速参考
### 索引备忘单(Index Cheat Sheet)
| 查询模式 | 索引类型 | 示例 |
|--------------|------------|---------|
| `WHERE col = value` | B-tree(默认) | `CREATE INDEX idx ON t (col)` |
| `WHERE col > value` | B-tree | `CREATE INDEX idx ON t (col)` |
| `WHERE a = x AND b > y` | 复合索引(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)` |
| 时序范围(Time-series ranges) | BRIN | `CREATE INDEX idx ON t USING brin (col)` |
### 数据类型快速参考
| 用例 | 正确类型 | 避免使用 |
|----------|-------------|-------|
| ID | `bigint` | `int`, 随机 UUID |
| 字符串 | `text` | `varchar(255)` |
| 时间戳 | `timestamptz` | `timestamp` |
| 金额 | `numeric(10,2)` | `float` |
| 标志位(Flags) | `boolean` | `varchar`, `int` |
### 常用模式
**复合索引顺序:**
```sql
-- 等值列(Equality columns)在前,范围列(Range columns)在后
CREATE INDEX idx ON orders (status, created_at);
-- 适用于:WHERE status = 'pending' AND created_at > '2024-01-01'
```
**覆盖索引(Covering Index):**
```sql
CREATE INDEX idx ON users (email) INCLUDE (name, created_at);
-- 避免在执行 SELECT email, name, created_at 时进行表查找(Table lookup)
```
**部分索引(Partial Index):**
```sql
CREATE INDEX idx ON users (email) WHERE deleted_at IS NULL;
-- 索引体积更小,仅包含活动用户
```
**RLS 策略(已优化):**
```sql
CREATE POLICY policy ON orders
USING ((SELECT auth.uid()) = user_id); -- 包裹在 SELECT 中!
```
**UPSERT(更新插入):**
```sql
INSERT INTO settings (user_id, key, value)
VALUES (123, 'theme', 'dark')
ON CONFLICT (user_id, key)
DO UPDATE SET value = EXCLUDED.value;
```
**游标分页(Cursor Pagination):**
```sql
SELECT * FROM products WHERE id > $last_id ORDER BY id LIMIT 20;
-- O(1) 复杂度,对比 OFFSET 的 O(n) 复杂度
```
**队列处理:**
```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 *;
```
### 反模式(Anti-Pattern)检测
```sql
-- 查找未建立索引的外键
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)
);
-- 查找慢查询
SELECT query, mean_exec_time, calls
FROM pg_stat_statements
WHERE mean_exec_time > 100
ORDER BY mean_exec_time DESC;
-- 检查表膨胀(Table bloat)
SELECT relname, n_dead_tup, last_vacuum
FROM pg_stat_user_tables
WHERE n_dead_tup > 1000
ORDER BY n_dead_tup DESC;
```
### 配置模板
```sql
-- 连接限制(根据 RAM 调整)
ALTER SYSTEM SET max_connections = 100;
ALTER SYSTEM SET work_mem = '8MB';
-- 超时设置
ALTER SYSTEM SET idle_in_transaction_session_timeout = '30s';
ALTER SYSTEM SET statement_timeout = '30s';
-- 监控
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;
-- 安全默认设置
REVOKE ALL ON SCHEMA public FROM public;
SELECT pg_reload_conf();
```
## 相关内容
- 智能体(Agent):`database-reviewer` - 完整的数据库审查工作流
- 技能(Skill):`clickhouse-io` - ClickHouse 分析模式
- 技能(Skill):`backend-patterns` - API 和后端模式
---
*基于 [Supabase Agent Skills](https://github.com/supabase/agent-skills) (MIT 许可证)*
---
> Source: [codelably/harmony-claude-code](https://github.com/codelably/harmony-claude-code) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-07-16 -->
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