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PostgreSQL查询优化顾问

作者 ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install postgres-optimizer
功能描述
AI椹卞姩鐨凱ostgreSQL鏌ヨ鎬ц兘浼樺寲鎶€鑳姐€傚垎鏋愭參鏌ヨ鏃ュ織銆佹墽琛岃鍒?EXPLAIN ANALYZE)銆佺储寮曠瓥鐣ャ€? 琛ㄧ粨鏋勫拰缁熻淇℃伅锛屾彁渚涘叿浣撶殑浼樺寲寤鸿鍜屽彲鐩存帴鎵ц鐨凷QL DDL/DML銆? 瑕嗙洊绱㈠紩浼樺寲銆佹煡璇㈤噸鍐欍€佸垎鍖虹瓥鐣ャ€乂ACU...
使用说明 (SKILL.md)

PostgreSQL鏌ヨ浼樺寲椤鹃棶 (Postgres Optimizer)

姒傝堪

PostgreSQL鏌ヨ浼樺寲椤鹃棶鏄潰鍚戝紑鍙戣€呭拰DBA鐨勬櫤鑳芥暟鎹簱鎬ц兘浼樺寲鎶€鑳斤紝鑳藉娣卞害鍒嗘瀽PostgreSQL鏌ヨ鎬ц兘鐡堕锛屾彁渚涚簿鍑嗙殑浼樺寲鏂规鍜屼竴閿彲鎵ц鐨凷QL鑴氭湰銆?

鏍稿績鍔熻兘

1. 鎱㈡煡璇㈠垎鏋?- 瑙f瀽pg_stat_statements鍜屾參鏌ヨ鏃ュ織

  • 璇嗗埆Top N鎱㈡煡璇㈠苟鎸夊奖鍝嶆帓搴?- 鎵ц璁″垝鍙鍖栬В璇?- 鎴愭湰浼扮畻鍋忓樊妫€娴嬶紙璁″垝琛屾暟 vs 瀹為檯琛屾暟锛?- 涓存椂鏂囦欢浣跨敤寮傚父鍛婅

2. 绱㈠紩绛栫暐浼樺寲

  • 缂哄け绱㈠紩鑷姩妫€娴嬪拰鎺ㄨ崘
  • 鍐椾綑/鏈娇鐢ㄧ储寮曡瘑鍒?- 閮ㄥ垎绱㈠紩(Partial Index)寤鸿
  • 琛ㄨ揪寮忕储寮?Expression Index)鎺ㄨ崘
  • 瑕嗙洊绱㈠紩(Covering Index)鍒嗘瀽
  • BRIN/GIN/GiST绱㈠紩绫诲瀷鎺ㄨ崘
  • 绱㈠紩鑶ㄨ儉妫€娴嬪拰REINDEX寤鸿

3. 鏌ヨ閲嶅啓浼樺寲

  • 瀛愭煡璇紭鍖栵紙杞琂OIN/CTE/LATERAL锛?- JOIN椤哄簭鍜岀被鍨嬩紭鍖栧缓璁?- WHERE瀛愬彞閫夋嫨鎬у垎鏋?- LIMIT+OFFSET鍒嗛〉浼樺寲锛圞eyset Pagination鎺ㄨ崘锛?- OR鏉′欢杞琔NION ALL浼樺寲
  • 鑱氬悎鏌ヨ浼樺寲锛團ILTER瀛愬彞鎺ㄨ崘锛?- 绐楀彛鍑芥暟鎬ц兘鍒嗘瀽

4. 琛ㄧ粨鏋勪紭鍖?- 鏁版嵁绫诲瀷浼樺寲锛堥伩鍏嶄笉蹇呰鐨則ext/bigint锛?- 琛ㄥ垎鍖虹瓥鐣ュ缓璁紙RANGE/LIST/HASH锛?- 瑙勮寖鍖?vs 鍙嶈鑼冨寲鏉冭 鍒嗘瀽

  • 澶ц〃鍨傜洿/姘村钩鎷嗗垎寤鸿
  • TOAST绛栫暐璇勪及

5. 閰嶇疆璋冧紭

  • shared_buffers / work_mem / effective_cache_size 寤鸿
  • autovacuum鍙傛暟璋冧紭
  • max_parallel_workers 骞惰搴﹀缓璁?- WAL閰嶇疆浼樺寲
  • 杩炴帴姹?max_connections)璇勪及

6. 缁熻淇℃伅绠$悊

  • 琛ㄧ粺璁′俊鎭柊椴滃害妫€鏌?- n_distinct / MCV鍊煎紓甯稿憡璀?- 鎵╁睍缁熻(CREATE STATISTICS)寤鸿
  • ANALYZE绛栫暐浼樺寲

浣跨敤鏂瑰紡

clawhub install postgres-optimizer

鍏稿瀷鍛戒护

璇峰垎鏋愭垜鐨勬參鏌ヨ鏃ュ織鏂囦欢
璇峰杩欎釜SQL杩涜浼樺寲鍒嗘瀽锛歋ELECT ...
璇锋鏌ユ垜鐨勭储寮曠瓥鐣ユ槸鍚﹀悎鐞?璇蜂负浠ヤ笅琛ㄧ粨鏋勬彁渚涗紭鍖栧缓璁?璇疯瘖鏂璓ostgreSQL瀹炰緥鐨勬暣浣撴€ц兘鐡堕

杈撳嚭绀轰緥

馃攳 PostgreSQL鏌ヨ浼樺寲鎶ュ憡

鏌ヨ: SELECT o.*, u.name FROM orders o JOIN users u ON o.user_id = u.id WHERE o.created_at > '2026-01-01' AND o.status = 'pending' ORDER BY o.created_at DESC LIMIT 100;

褰撳墠鎬ц兘:
  鎵ц鏃堕棿: 2,847ms | 鎵弿琛屾暟: 1,250,000 | 浣跨敤涓存椂鏂囦欢: 鏄?
馃幆 闂璇婃柇:
1. [涓ラ噸] orders琛ㄧ己灏?created_at, status)澶嶅悎绱㈠紩
   鈫?褰撳墠鍏ㄨ〃鎵弿1,250,000琛?2. [涓瓑] users琛↗OIN鍒梚d缂哄皯绱㈠紩锛堝鏈夊垯蹇界暐锛?3. [杞诲井] ORDER BY + LIMIT鍙紭鍖栦负绱㈠紩鎵弿

鉁?鎺ㄨ崘浼樺寲鏂规:
```sql
-- 1. 鍒涘缓鏍稿績澶嶅悎绱㈠紩锛堥璁℃彁鍗?5%锛?CREATE INDEX idx_orders_created_status ON orders(created_at DESC, status) WHERE status = 'pending';

-- 2. 浼樺寲鍚庣殑鏌ヨ锛堟棤闇€鏀瑰姩锛岀储寮曚細鑷姩鐢熸晥锛?-- 棰勮鎵ц鏃堕棿: \x3C50ms | 鎵弿琛屾暟: ~100

馃搳 棰勪及浼樺寲鏁堟灉: 鎵ц鏃堕棿: 2,847ms 鈫?\x3C50ms (98%鎻愬崌) 鎵弿琛屾暟: 1,250,000 鈫?~100 鍐呭瓨浣跨敤: 鏄捐憲闄嶄綆


## 瀹夊叏涓庨殣绉?- 浠呰鍙栨暟鎹簱鍏冩暟鎹拰鎵ц璁″垝锛屼笉淇敼鏁版嵁
- 鎵€鏈夊缓璁甋QL閮戒細鏄庣‘鏍囨敞椋庨櫓绛夌骇
- 鏀寔鍙鐢ㄦ埛鏉冮檺杩愯
- 涓嶈褰曟垨澶栦紶鏌ヨ鍐呭鍜屾暟鎹簱缁撴瀯
- 鐢熶骇鐜鎿嶄綔鍓嶉渶鐢ㄦ埛纭
安全使用建议
Before installing, be aware that the skill asks users to provide query logs, execution plans, and schema details, which can contain sensitive business information. Review any generated SQL or tuning advice before running it, especially on production databases.
能力评估
Purpose & Capability
The artifact describes analyzing PostgreSQL logs, EXPLAIN plans, indexes, schema, and configuration to provide optimization advice and SQL examples, which matches the stated database performance purpose.
Instruction Scope
The skill may suggest SQL DDL/DML and production tuning steps, but it discloses read-only operation, risk labeling, and user confirmation before production actions.
Install Mechanism
The package contains only a SKILL.md file; declared Python dependencies are ordinary database-analysis/data-processing libraries and no API keys are required.
Credentials
Python 3.10+, 256MB memory, 0.3 CPU, and listed packages are proportionate for a query analysis advisor.
Persistence & Privilege
No artifact evidence shows background workers, credential/session use, persistence, network exfiltration, or automatic database mutation.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install postgres-optimizer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /postgres-optimizer 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Postgres-optimizer 1.0.0 – Initial Release - Analyze PostgreSQL query logs and EXPLAIN ANALYZE plans for performance issues. - Provide index and query optimization suggestions, including DDL/DML examples. - Support for index tuning, query rewrite recommendations, table structure, and configuration hints. - Compatible with PostgreSQL versions 12–17. - No sensitive data is stored or modified; safe for production use. - Requires Python 3.10+, with psycopg2-binary, sqlparse, and pandas dependencies.
元数据
Slug postgres-optimizer
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

PostgreSQL查询优化顾问 是什么?

AI椹卞姩鐨凱ostgreSQL鏌ヨ鎬ц兘浼樺寲鎶€鑳姐€傚垎鏋愭參鏌ヨ鏃ュ織銆佹墽琛岃鍒?EXPLAIN ANALYZE)銆佺储寮曠瓥鐣ャ€? 琛ㄧ粨鏋勫拰缁熻淇℃伅锛屾彁渚涘叿浣撶殑浼樺寲寤鸿鍜屽彲鐩存帴鎵ц鐨凷QL DDL/DML銆? 瑕嗙洊绱㈠紩浼樺寲銆佹煡璇㈤噸鍐欍€佸垎鍖虹瓥鐣ャ€乂ACU... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 31 次。

如何安装 PostgreSQL查询优化顾问?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install postgres-optimizer」即可一键安装,无需额外配置。

PostgreSQL查询优化顾问 是免费的吗?

是的,PostgreSQL查询优化顾问 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

PostgreSQL查询优化顾问 支持哪些平台?

PostgreSQL查询优化顾问 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 PostgreSQL查询优化顾问?

由 ai-gaoqian(@ai-gaoqian)开发并维护,当前版本 v1.0.0。

💬 留言讨论