{"id":103180,"date":"2026-09-10T01:01:26","date_gmt":"2026-09-09T17:01:26","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/103180.html"},"modified":"2026-09-10T01:01:26","modified_gmt":"2026-09-09T17:01:26","slug":"ai-%e7%94%9f%e6%88%90%e6%89%a7%e8%a1%8c%e8%ae%a1%e5%88%92%e7%9a%84%e5%8f%af%e4%bf%a1%e5%ba%a6%e9%aa%8c%e8%af%81%ef%bc%9a%e5%a6%82%e4%bd%95%e7%bb%99%e5%a4%a7%e6%a8%a1%e5%9e%8b%e7%9a%84-plan-%e5%8a%a0","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/103180.html","title":{"rendered":"AI \u751f\u6210\u6267\u884c\u8ba1\u5212\u7684\u53ef\u4fe1\u5ea6\u9a8c\u8bc1\uff1a\u5982\u4f55\u7ed9\u5927\u6a21\u578b\u7684 Plan \u52a0\u4e0a\u4ee3\u4ef7\u4fdd\u9669\u4e1d"},"content":{"rendered":"<h2>AI \u751f\u6210\u6267\u884c\u8ba1\u5212\u7684\u53ef\u4fe1\u5ea6\u9a8c\u8bc1&#xff1a;\u5982\u4f55\u7ed9\u5927\u6a21\u578b\u7684 Plan \u52a0\u4e0a\u4ee3\u4ef7\u4fdd\u9669\u4e1d<\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260909170125-6aa190e5b37c4.webp\" alt=\"\u5c01\u9762\u4fe1\u606f\u56fe\" \/><\/p>\n<p>\u5728\u6570\u636e\u5e93\u5185\u6838\u4e0e\u4eba\u5de5\u667a\u80fd\u4ea4\u53c9\u7684\u6df1\u6c34\u533a&#xff0c;\u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b&#xff08;LLM&#xff09;\u6216\u5f3a\u5316\u5b66\u4e60\u76f4\u63a5\u751f\u6210\u590d\u6742 SQL \u7684\u7269\u7406\u6267\u884c\u8ba1\u5212&#xff08;Physical Query Plan \/ Join Tree&#xff09;&#xff0c;\u6b63\u5728\u4ece\u5b66\u672f\u6982\u5ff5\u8d70\u5411\u90e8\u5206\u524d\u6cbf\u6570\u636e\u5e93\u7684\u5b9e\u9a8c\u5ba4\u539f\u578b\u3002<\/p>\n<p>\u5927\u6a21\u578b\u51ed\u501f\u5176\u5bf9\u6d77\u91cf\u5386\u53f2\u67e5\u8be2\u6a21\u5f0f\u7684\u6cdb\u5316\u8bb0\u5fc6&#xff0c;\u5728\u9762\u5bf9 10 \u5f20\u8868\u4ee5\u4e0a\u7684\u591a\u8868\u5173\u8054\u65f6&#xff0c;\u5f80\u5f80\u80fd\u591f\u8df3\u51fa\u4f20\u7edf\u52a8\u6001\u89c4\u5212&#xff08;DP&#xff09;\u6216\u8d2a\u5fc3\u7b97\u6cd5\u7684\u5c40\u90e8\u6700\u4f18\u9677\u9631&#xff0c;\u5728\u51e0\u6beb\u79d2\u5185\u7ed9\u51fa\u4e00\u4e2a\u6781\u5176\u60ca\u8273\u7684\u201c\u76f4\u89c9\u578b Plan\u201d&#xff08;\u4f8b\u5982\u6307\u5b9a\u7279\u5b9a\u7684 Join \u987a\u5e8f\u4e0e Hash Join \u9a71\u52a8\u8868&#xff09;\u3002<\/p>\n<p>\u7136\u800c&#xff0c;\u5927\u6a21\u578b\u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u6982\u7387\u6a21\u578b\u3002\u5b83\u5728 95% \u7684\u60c5\u51b5\u4e0b\u7ed9\u51fa\u7684 Plan \u582a\u79f0\u795e\u6765\u4e4b\u7b14&#xff0c;\u4f46\u5728\u5269\u4e0b\u7684 5% \u60c5\u51b5\u4e0b&#xff0c;\u6a21\u578b\u53ef\u80fd\u4f1a\u56e0\u4e3a\u67d0\u4e2a\u7ec6\u5fae\u7684\u53c2\u6570\u53d8\u52a8&#xff0c;\u7ed9\u51fa\u4e00\u4e2a\u5c06\u4e24\u5f20\u5343\u4e07\u7ea7\u5927\u8868\u505a\u65e0\u7d22\u5f15\u5d4c\u5957\u5faa\u73af&#xff08;Nested Loop&#xff09;\u7684\u201c\u6bc1\u706d\u6027 Plan\u201d\u3002<\/p>\n<p>\u5728\u628a AI \u751f\u6210\u7684\u6267\u884c\u8ba1\u5212\u9001\u8fdb\u6570\u636e\u5e93\u5185\u6838\u7269\u7406\u6267\u884c\u4e4b\u524d&#xff0c;\u6211\u4eec\u5fc5\u987b\u5982\u4f55\u6784\u5efa\u4e00\u5957\u786e\u5b9a\u6027\u7684\u201c\u4ee3\u4ef7\u4fdd\u9669\u4e1d&#xff08;Cost Guardrails&#xff09;\u201d&#xff0c;\u5bf9 AI \u7684\u6267\u884c\u8ba1\u5212\u8fdb\u884c\u5fae\u79d2\u7ea7\u7684\u53ef\u4fe1\u5ea6\u9a8c\u8bc1&#xff1f;<\/p>\n<p>from dataclasses import dataclass<br \/>\nfrom typing import Dict, Any, Optional<\/p>\n<p>&#064;dataclass<br \/>\nclass PhysicalQueryPlan:<br \/>\n    plan_id: str<br \/>\n    join_order: list<br \/>\n    operator_types: Dict[str, str] # \u4f8b\u5982: {&#034;join_1&#034;: &#034;HASH_JOIN&#034;, &#034;scan_1&#034;: &#034;INDEX_SCAN&#034;}<br \/>\n    estimated_cost: float<br \/>\n    confidence_score: float<\/p>\n<p>class AIPlanVerificationEngine:<br \/>\n    &#034;&#034;&#034;AI \u6267\u884c\u8ba1\u5212\u53ef\u4fe1\u5ea6\u9a8c\u8bc1\u4e0e\u7194\u65ad\u4fdd\u9669\u4e1d\u5f15\u64ce&#034;&#034;&#034;<br \/>\n    def __init__(self, traditional_cost_evaluator, max_cost_deviation_ratio&#061;2.5):<br \/>\n        self.cost_evaluator &#061; traditional_cost_evaluator<br \/>\n        self.max_deviation &#061; max_cost_deviation_ratio<\/p>\n<p>    def verify_and_fuse(self, ai_plan: PhysicalQueryPlan, query_ast: Any, table_stats: Dict) -&gt; PhysicalQueryPlan:<br \/>\n        # 1. \u7ed3\u6784\u4e0e\u8bed\u4e49\u9759\u6001\u786c\u7ea6\u675f\u6821\u9a8c<br \/>\n        if not self._validate_plan_validity(ai_plan, query_ast):<br \/>\n            raise InvalidPlanException(&#034;AI \u751f\u6210\u7684 Plan \u5b58\u5728\u903b\u8f91\u65ad\u73af\u6216\u4e0d\u6ee1\u8db3 Join \u8bed\u4e49\u8fde\u901a\u6027!&#034;)<\/p>\n<p>        # 2. \u8c03\u7528\u4f20\u7edf\u7269\u7406\u4ee3\u4ef7\u8bc4\u4f30\u5668\u5bf9 AI Plan \u8fdb\u884c\u72ec\u7acb\u5ba2\u89c2\u7b97\u529b\u5b9a\u4ef7<br \/>\n        independent_cost &#061; self.cost_evaluator.calculate_physical_cost(ai_plan, table_stats)<\/p>\n<p>        # 3. \u57fa\u7ebf\u5bf9\u6bd4&#xff1a;\u83b7\u53d6\u4f20\u7edf\u4f18\u5316\u5668\u751f\u6210\u7684\u4fdd\u5e95 Plan \u4ee3\u4ef7<br \/>\n        baseline_plan &#061; self.cost_evaluator.get_baseline_plan(query_ast, table_stats)<\/p>\n<p>        # 4. \u4fdd\u9669\u4e1d\u7194\u65ad\u5224\u51b3&#xff1a;\u5982\u679c AI Plan \u7684\u72ec\u7acb\u4ee3\u4ef7\u9ad8\u4e8e\u4f20\u7edf\u57fa\u7ebf 2.5 \u500d&#xff0c;\u76f4\u63a5\u7194\u65ad\u629b\u5f03<br \/>\n        cost_ratio &#061; independent_cost \/ max(baseline_plan.estimated_cost, 0.001)<br \/>\n        if cost_ratio &gt; self.max_deviation:<br \/>\n            # \u7194\u65ad\u89e6\u53d1&#xff0c;\u5b89\u5168\u56de\u9000\u81f3\u4f20\u7edf\u57fa\u7ebf Plan<br \/>\n            return baseline_plan<\/p>\n<p>        # 5. \u4ee3\u4ef7\u6821\u9a8c\u901a\u8fc7&#xff0c;\u6253\u4e0a\u53ef\u4fe1\u7b7e\u540d\u5e76\u653e\u884c<br \/>\n        ai_plan.estimated_cost &#061; independent_cost<br \/>\n        return ai_plan<\/p>\n<p>    def _validate_plan_validity(self, plan: PhysicalQueryPlan, ast: Any) -&gt; bool:<br \/>\n        # \u6821\u9a8c\u5f15\u7528\u7684\u8868\u96c6\u5408\u4e0e Join Key \u662f\u5426 100% \u8986\u76d6 AST \u9700\u6c42<br \/>\n        return set(plan.join_order) &#061;&#061; set(ast.referenced_tables)<\/p>\n<h4>\u4e3a\u4ec0\u4e48\u4e0d\u80fd\u76f4\u63a5\u4fe1\u4efb\u5927\u6a21\u578b\u8f93\u51fa\u7684\u201c\u81ea\u5e26\u4ee3\u4ef7\u201d&#xff1f;<\/h4>\n<p>\u5f88\u591a\u56e2\u961f\u5728\u63a5\u5165\u5927\u6a21\u578b\u65f6&#xff0c;\u559c\u6b22\u8ba9\u5927\u6a21\u578b\u5728\u8f93\u51fa Plan \u7684\u540c\u65f6\u8f93\u51fa\u4e00\u4e2a\u201c\u9884\u4f30 Cost\u201d\u3002\u8fd9\u662f\u4e00\u4e2a\u6781\u5176\u5371\u9669\u7684\u8bef\u533a&#xff01;\u5927\u6a21\u578b\u8f93\u51fa\u7684\u6240\u8c13 Cost&#xff0c;\u672c\u8d28\u4e0a\u53ea\u662f\u6587\u672c\u6982\u7387\u751f\u6210\u7684\u7ed3\u679c&#xff0c;\u5b83\u6839\u672c\u6ca1\u6709\u5b9e\u65f6\u8bfb\u53d6\u5e95\u5c42\u5b58\u50a8\u5f15\u64ce\u5f53\u524d\u7684 Buffer Pool \u810f\u9875\u7387\u3001NVMe SSD \u7684\u771f\u5b9e IOPS \u6c34\u4f4d\u4ee5\u53ca\u5404\u5206\u533a\u7684\u7edf\u8ba1\u4fe1\u606f\u3002<\/p>\n<p>\u6838\u5fc3\u94c1\u5f8b&#xff1a;AI \u53ea\u8d1f\u8d23\u63d0\u8bae&#xff08;Propose&#xff09;&#xff0c;\u7269\u7406\u4ee3\u4ef7\u5fc5\u987b\u7531\u6570\u636e\u5e93\u5185\u6838\u7684\u72ec\u7acb\u4ee3\u4ef7\u8ba1\u7b97\u5668&#xff08;Cost Evaluator&#xff09;\u8fdb\u884c\u4e25\u683c\u7684\u4ee3\u6570\u9a8c\u7b97&#xff01;<\/p>\n<p>[AI \u751f\u6210\u6267\u884c\u8ba1\u5212\u7684\u53ef\u4fe1\u5ea6\u9a8c\u8bc1\u4e0e\u53cc\u8f68\u7194\u65ad\u6d41\u6c34\u7ebf]<\/p>\n<p>               [\u590d\u6742\u67e5\u8be2 AST \u8f93\u5165 (\u4f8b\u5982 8 \u8868 Join)]<br \/>\n                               \u2502<br \/>\n               \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br \/>\n               \u25bc                               \u25bc<br \/>\n    \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510         \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br \/>\n    \u2502  \u4f20\u7edf\u5185\u6838\u4f18\u5316\u5668\u57fa\u7ebf   \u2502         \u2502   AI \u6267\u884c\u8ba1\u5212\u751f\u6210\u5f15\u64ce \u2502<br \/>\n    \u2502 (\u751f\u6210 Baseline Plan) \u2502         \u2502 (\u751f\u6210 Candidate Plan)\u2502<br \/>\n    \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518         \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<br \/>\n               \u2502                               \u2502<br \/>\n               \u2502                               \u25bc<br \/>\n               \u2502                    \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br \/>\n               \u2502                    \u2502 \u9759\u6001\u8bed\u4e49\u4e0e\u8fde\u901a\u6027\u6821\u9a8c  \u2502<br \/>\n               \u2502                    \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<br \/>\n               \u2502                               \u2502<br \/>\n               \u25bc                               \u25bc<br \/>\n    \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br \/>\n    \u2502        \u5185\u6838\u72ec\u7acb\u4ee3\u4ef7\u8ba1\u7b97\u5668 (Independent Cost Engine)    \u2502<br \/>\n    \u2502        &#8211; \u9a8c\u7b97 AI Plan \u7684\u771f\u5b9e\u7269\u7406 CPU \/ IO \u4ee3\u4ef7       \u2502<br \/>\n    \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<br \/>\n                               \u2502<br \/>\n                               \u25bc<br \/>\n    \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br \/>\n    \u2502              \u4ee3\u4ef7\u4fdd\u9669\u4e1d\u7194\u65ad\u5224\u51b3 (Cost Fuse)           \u2502<br \/>\n    \u2502  Cost(AI) &lt; 0.8 * Cost(Base) \u2500\u2500\u25b6 \u3010\u653e\u884c AI Plan\u3011   \u2502<br \/>\n    \u2502  Cost(AI) &gt;&#061; 2.0 * Cost(Base) \u2500\u2500\u25b6 \u3010\u7194\u65ad\u56de\u9000\u57fa\u7ebf\u3011  \u2502<br \/>\n    \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n<h4>\u4ee3\u4ef7\u4fdd\u9669\u4e1d\u7684\u56db\u5927\u786c\u6838\u6821\u9a8c\u7ef4\u5ea6<\/h4>\n<p>\u5728\u751f\u4ea7\u7ea7\u9a8c\u8bc1\u6d41\u6c34\u7ebf\u4e2d&#xff0c;AI Plan \u5fc5\u987b\u8fde\u95ef\u56db\u5173&#xff1a;<\/p>\n<h5>1. \u8bed\u4e49\u8fde\u901a\u6027\u4e0e\u7b97\u5b50\u62d3\u6251\u6821\u9a8c&#xff08;Graph Topology Check&#xff09;<\/h5>\n<p>\u68c0\u67e5 AI \u751f\u6210\u7684\u4e8c\u53c9 Join \u6811\u662f\u5426\u5305\u542b\u4e86\u67e5\u8be2\u6240\u9700\u7684\u6240\u6709\u8868&#xff1b;\u68c0\u67e5\u6bcf\u4e2a Join \u8282\u70b9\u7684\u8fde\u63a5\u8c13\u8bcd\u662f\u5426\u5408\u6cd5&#xff0c;\u575a\u51b3\u675c\u7edd\u56e0\u6a21\u578b\u758f\u6f0f\u4ea7\u751f\u672a\u9884\u671f\u7684\u5c40\u90e8\u7b1b\u5361\u5c14\u79ef\u3002<\/p>\n<h5>2. \u6700\u574f\u60c5\u51b5\u4ee3\u4ef7\u4e0a\u754c\u622a\u65ad&#xff08;Worst-case Bound&#xff09;<\/h5>\n<p>\u5c06 AI Plan \u8f93\u5165\u5185\u6838\u7684\u7269\u7406\u4ee3\u4ef7\u6a21\u578b&#xff08;Cost Model&#xff09;\u8fdb\u884c\u72ec\u7acb\u6253\u5206&#xff1a;<\/p>\n<ul>\n<li>\u5982\u679c AI Plan \u7684\u7efc\u5408\u4ee3\u4ef7\u6bd4\u4f20\u7edf\u4f18\u5316\u5668\u7b97\u51fa\u6765\u7684\u57fa\u7ebf Plan \u8fd8\u8981\u9ad8&#xff0c;\u6216\u8005\u8d85\u51fa\u5b89\u5168\u9608\u503c&#xff0c;\u7cfb\u7edf\u7acb\u5373\u5224\u5b9a\u6a21\u578b\u4ea7\u751f\u4e86\u5e7b\u89c9&#xff0c;\u5728 0.1 \u6beb\u79d2\u5185\u89e6\u53d1\u4fdd\u9669\u4e1d\u7194\u65ad&#xff0c;\u5f3a\u884c\u56de\u9000\u81f3\u4f20\u7edf\u57fa\u7ebf Plan&#xff1b;<\/li>\n<li>\u53ea\u6709\u5f53 AI Plan \u7684\u771f\u5b9e\u7269\u7406\u4ee3\u4ef7\u660e\u663e\u4f18\u4e8e\u57fa\u7ebf Plan&#xff08;\u4f8b\u5982\u964d\u4f4e 30% \u4ee5\u4e0a&#xff09;&#xff0c;\u4e14\u6a21\u578b\u7f6e\u4fe1\u5ea6\u9ad8\u4e8e 0.85 \u65f6&#xff0c;\u7cfb\u7edf\u624d\u6b63\u5f0f\u653e\u884c\u3002<\/li>\n<\/ul>\n<h5>3. \u5185\u5b58\u914d\u989d\u4e0e\u7b97\u5b50\u6ea2\u51fa\u9884\u8b66<\/h5>\n<p>\u68c0\u67e5 AI Plan \u9009\u53d6\u7684\u7b97\u5b50\u7c7b\u578b\u3002\u5982\u679c AI \u4e3a\u4e00\u5f20\u9884\u4f30 5000 \u4e07\u884c\u7684\u5927\u8868\u63a8\u8350\u4e86\u5185\u5b58 Hash Join&#xff0c;\u800c\u5f53\u524d\u4f1a\u8bdd\u7684 join_buffer_size \u4ec5\u6709 16MB&#xff0c;\u9a8c\u8bc1\u5668\u4f1a\u81ea\u52a8\u7ed9\u8be5 Plan \u589e\u52a0\u201c\u78c1\u76d8\u5206\u7247\u6ea2\u51fa&#xff08;Spill to Disk&#xff09;\u201d\u60e9\u7f5a\u5206&#xff0c;\u9632\u6b62\u7ebf\u4e0a\u5185\u5b58\u7206\u4ed3\u3002<\/p>\n<h5>4. 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