mcpField
D
database-design

database-design

github.com/moizibnyousaf数据与数据库1.2k605 次安装5 周前更新
代码仓库

关于 database-design

这是一项数据库设计技能,涵盖模式结构、索引、迁移、查询调优和数据完整性,面向规划或维护关系型数据库的开发者。内容以示例和实践为主,包括安全迁移与零停机迁移。

主要功能

  1. 01规范化与反规范化指导
  2. 02索引模式及使用情况分析
  3. 03安全迁移与零停机迁移
  4. 04基于 EXPLAIN 的查询分析
  5. 05约束与数据完整性实践

适用场景

  1. 01设计规范化数据库模式
  2. 02按查询模式选择索引
  3. 03规划零停机模式变更
  4. 04排查缓慢的数据库查询

安装

复制下面的命令,在终端中运行。

$npx skills add https://github.com/moizibnyousaf/ai-agent-skills --skill database-design

安装后在 Claude Code 中输入/database-design确认已加载。

详细介绍

数据库设计

Schema 设计原则

规范化指南
-- 1NF: Atomic values, no repeating groups
-- 2NF: No partial dependencies on composite keys
-- 3NF: No transitive dependencies

-- Users table (normalized)
CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  email VARCHAR(255) UNIQUE NOT NULL,
  created_at TIMESTAMPTZ DEFAULT NOW()
);

-- Addresses table (separate entity)
CREATE TABLE addresses (
  id SERIAL PRIMARY KEY,
  user_id INTEGER REFERENCES users(id) ON DELETE CASCADE,
  street VARCHAR(255),
  city VARCHAR(100),
  country VARCHAR(100),
  is_primary BOOLEAN DEFAULT false
);
为提升性能而反规范化
-- When read performance matters more than write consistency
CREATE TABLE order_summaries (
  id SERIAL PRIMARY KEY,
  order_id INTEGER REFERENCES orders(id),
  customer_name VARCHAR(255),  -- Denormalized from customers
  total_amount DECIMAL(10,2),
  item_count INTEGER,
  last_updated TIMESTAMPTZ DEFAULT NOW()
);

索引设计

常见索引模式
-- B-tree (default) for equality and range queries
CREATE INDEX idx_users_email ON users(email);

-- Composite index (order matters!)
CREATE INDEX idx_orders_user_date ON orders(user_id, created_at DESC);

-- Partial index for specific conditions
CREATE INDEX idx_active_users ON users(email) WHERE deleted_at IS NULL;

-- GIN index for array/JSONB columns
CREATE INDEX idx_posts_tags ON posts USING GIN(tags);

-- Covering index (includes additional columns)
CREATE INDEX idx_orders_covering ON orders(user_id) INCLUDE (total, status);
索引分析
-- Check index usage
SELECT
  schemaname, tablename, indexname,
  idx_scan, idx_tup_read, idx_tup_fetch
FROM pg_stat_user_indexes
ORDER BY idx_scan DESC;

-- Find missing indexes
SELECT
  relname, seq_scan, seq_tup_read,
  idx_scan, idx_tup_fetch
FROM pg_stat_user_tables
WHERE seq_scan > idx_scan
ORDER BY seq_tup_read DESC;

迁移模式

安全迁移模板
-- Always use transactions
BEGIN;

-- Add column with default (non-blocking in PG 11+)
ALTER TABLE users ADD COLUMN status VARCHAR(20) DEFAULT 'active';

-- Create index concurrently (doesn't lock table)
CREATE INDEX CONCURRENTLY idx_users_status ON users(status);

-- Backfill data in batches
UPDATE users SET status = 'active' WHERE status IS NULL AND id BETWEEN 1 AND 10000;

COMMIT;
零停机迁移
1. Add new column (nullable)
2. Deploy code that writes to both columns
3. Backfill old data
4. Deploy code that reads from new column
5. Remove old column

查询优化

EXPLAIN 分析
-- Always use EXPLAIN ANALYZE
EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT)
SELECT * FROM orders WHERE user_id = 123 AND status = 'pending';

-- Key metrics to watch:
-- - Seq Scan vs Index Scan
-- - Actual rows vs Estimated rows
-- - Buffers: shared hit vs read
常见优化
-- Use EXISTS instead of IN for large sets
SELECT * FROM users u
WHERE EXISTS (SELECT 1 FROM orders o WHERE o.user_id = u.id);

-- Pagination with keyset (cursor) instead of OFFSET
SELECT * FROM posts
WHERE created_at < '2024-01-01'
ORDER BY created_at DESC
LIMIT 20;

-- Use CTEs for complex queries
WITH active_users AS (
  SELECT id FROM users WHERE last_login > NOW() - INTERVAL '30 days'
)
SELECT * FROM orders WHERE user_id IN (SELECT id FROM active_users);

约束与数据完整性

-- Primary key
ALTER TABLE users ADD PRIMARY KEY (id);

-- Foreign key with cascade
ALTER TABLE orders ADD CONSTRAINT fk_orders_user
  FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE;

-- Check constraint
ALTER TABLE products ADD CONSTRAINT chk_price_positive
  CHECK (price >= 0);

-- Unique constraint
ALTER TABLE users ADD CONSTRAINT uniq_users_email UNIQUE (email);

-- Exclusion constraint (no overlapping ranges)
ALTER TABLE reservations ADD CONSTRAINT excl_no_overlap
  EXCLUDE USING gist (room_id WITH =, tsrange(start_time, end_time) WITH &&);

最佳实践

  • 面向公众的 ID 使用 UUID,内部 ID 使用 SERIAL/BIGSERIAL
  • 始终添加 created_at 和 updated_at 时间戳
  • 对重要数据使用软删除(deleted_at)
  • 为分布式系统设计最终一致性
  • 在迁移文件中记录 Schema 设计决策
  • 部署前在生产规模的数据上测试迁移

评论

支持 Markdown