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\u65e0\u8bba\u54ea\u79cd\u5f62\u6001，\u90fd\u4e0d\u80fd\u628a\u201c\u6587\u6863\u6761\u6570\u76f8\u7b49\u201d\u5f53\u4f5c\u5b8c\u6210\u3002\u6e90\u96c6\u5408\u53ef\u80fd\u542b\u8f6f\u5220\u9664\u3001\u5386\u53f2\u7248\u672c\u3001\u65e0\u5411\u91cf\u8bb0\u5f55\u6216\u591a chunk \u6587\u6863；\u67d0\u4e9b\u6570\u636e\u5e93\u7ed9\u51fa\u7684 count \u8fd8\u662f\u8fd1\u4f3c\u503c\u3002\u9a8c\u6536\u5e94\u8be5\u4ece\u4e8b\u5b9e\u6e90\u51fa\u53d1，\u6309\u786e\u5b9a\u6761\u4ef6\u8ba1\u7b97\u5e94\u6709\u7684\u6709\u6548 chunk \u96c6\u5408，\u518d\u5bf9\u76ee\u6807\u7d22\u5f15\u505a\u96c6\u5408\u5dee\u3001\u54c8\u5e0c\u5dee\u548c\u6743\u9650\u5b57\u6bb5\u5dee\u3002<\/p>\n

\u4e09\u3001\u8fc1\u79fb\u524d\u5148\u5efa\u7acb\u53ef\u6bd4\u8f83\u7684\u57fa\u7ebf<\/h3>\n

\u5982\u679c\u65e7\u7cfb\u7edf\u6ca1\u6709\u57fa\u7ebf，\u65b0\u6a21\u578b\u4e0a\u7ebf\u540e\u201c\u611f\u89c9\u7b54\u6848\u4e0d\u4e00\u6837\u201d\u5c06\u65e0\u6cd5\u5f52\u56e0\u3002\u6700\u5c0f\u57fa\u7ebf\u5305\u542b\u4e09\u7c7b\u6570\u636e：\u5b8c\u6574\u6027\u57fa\u7ebf\u3001\u68c0\u7d22\u8d28\u91cf\u57fa\u7ebf\u3001\u670d\u52a1\u57fa\u7ebf\u3002\u5b8c\u6574\u6027\u8bb0\u5f55\u6709\u6548 chunk \u6570\u3001\u6309\u79df\u6237\u548c\u6587\u6863\u7c7b\u578b\u5206\u7ec4\u7684\u6570\u91cf\u3001\u62bd\u6837\u54c8\u5e0c；\u68c0\u7d22\u8d28\u91cf\u7528\u56fa\u5b9a\u9898\u96c6\u4fdd\u5b58 Top-k \u4e0e\u4eba\u5de5\u8bc1\u636e\u6807\u6ce8；\u670d\u52a1\u57fa\u7ebf\u8bb0\u5f55\u8bf7\u6c42\u6210\u529f\u7387\u3001P50\/P95 \u5ef6\u8fdf\u3001\u6a21\u578b\u7f16\u7801\u9519\u8bef\u7387\u548c\u7a7a\u7ed3\u679c\u7387\u3002<\/p>\n

\u9898\u96c6\u4e0d\u80fd\u53ea\u9009\u70ed\u95e8\u7b80\u5355\u95ee\u9898\u3002\u81f3\u5c11\u8986\u76d6\u7cbe\u786e\u672f\u8bed\u3001\u522b\u540d\u3001\u957f\u95ee\u9898\u3001\u77ed\u95ee\u9898\u3001\u4e2d\u6587\u4e0e\u82f1\u6587\u6df7\u5408\u3001\u8868\u683c\u6570\u503c\u3001\u6743\u9650\u8fc7\u6ee4\u3001\u65e0\u7b54\u6848\u95ee\u9898\u548c\u8fd1\u671f\u66f4\u65b0\u6587\u6863\u3002\u8fc1\u79fb\u53ea\u6539\u53d8 Embedding \u65f6，\u5e94\u5c3d\u91cf\u56fa\u5b9a\u5207\u5206\u3001reranker\u3001Top-k \u548c\u751f\u6210\u6a21\u578b，\u8fd9\u6837\u5dee\u5f02\u624d\u4e3b\u8981\u6765\u81ea\u5411\u91cf\u7a7a\u95f4\u3002\u5982\u679c\u540c\u65f6\u6539\u4e94\u4e2a\u53d8\u91cf，\u6700\u7ec8\u5373\u4f7f\u6307\u6807\u63d0\u5347，\u4e5f\u4e0d\u77e5\u9053\u54ea\u4e2a\u6539\u52a8\u503c\u5f97\u4fdd\u7559\u3002<\/p>\n

\u6bd4\u8f83\u4e24\u5957\u68c0\u7d22\u7ed3\u679c\u65f6，\u9664\u4e86 Recall@k，\u8fd8\u53ef\u4ee5\u770b Top-k \u96c6\u5408\u91cd\u53e0\u7387\u3002\u91cd\u53e0\u7387\u4f4e\u5e76\u4e0d\u81ea\u52a8\u8868\u793a\u65b0\u6a21\u578b\u5dee，\u5b83\u53ea\u662f\u63d0\u9192\u4f60\u6df1\u5165\u68c0\u67e5\u3002\u65b0\u6a21\u578b\u53ef\u80fd\u627e\u5230\u4e86\u66f4\u597d\u7684\u540c\u4e49\u8868\u8fbe，\u4e5f\u53ef\u80fd\u628a\u9ad8\u98ce\u9669\u7b54\u6848\u63a8\u8d70\u3002\u4ee5\u4e0b\u811a\u672c\u5bf9\u793a\u4f8b\u7ed3\u679c\u8ba1\u7b97\u91cd\u53e0\u7387\u548c\u547d\u4e2d\u60c5\u51b5，\u53ef\u76f4\u63a5\u4fdd\u5b58\u4e3a compare_runs.py \u8fd0\u884c\u3002<\/p>\n

from<\/span> __future__ import<\/span> annotations<\/p>\n

from<\/span> dataclasses import<\/span> dataclass<\/p>\n

@dataclass<\/span>(<\/span>frozen=<\/span>True<\/span>)<\/span>
\nclass<\/span> Case<\/span>:<\/span>
\n case_id:<\/span> str<\/span>
\n gold:<\/span> frozenset<\/span>[<\/span>str<\/span>]<\/span>
\n old_topk:<\/span> tuple<\/span>[<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>]<\/span>
\n new_topk:<\/span> tuple<\/span>[<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>]<\/span><\/p>\n

def<\/span> overlap_at_k<\/span>(<\/span>left:<\/span> tuple<\/span>[<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>]<\/span>,<\/span> right:<\/span> tuple<\/span>[<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>]<\/span>,<\/span> k:<\/span> int<\/span>)<\/span> –<\/span>><\/span> float<\/span>:<\/span>
\n a,<\/span> b =<\/span> set<\/span>(<\/span>left[<\/span>:<\/span>k]<\/span>)<\/span>,<\/span> set<\/span>(<\/span>right[<\/span>:<\/span>k]<\/span>)<\/span>
\n return<\/span> len<\/span>(<\/span>a &<\/span> b)<\/span> \/<\/span> max<\/span>(<\/span>1<\/span>,<\/span> len<\/span>(<\/span>a |<\/span> b)<\/span>)<\/span><\/p>\n

def<\/span> hit<\/span>(<\/span>gold:<\/span> frozenset<\/span>[<\/span>str<\/span>]<\/span>,<\/span> got:<\/span> tuple<\/span>[<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>]<\/span>,<\/span> k:<\/span> int<\/span>)<\/span> –<\/span>><\/span> bool<\/span>:<\/span>
\n return<\/span> bool<\/span>(<\/span>gold &<\/span> set<\/span>(<\/span>got[<\/span>:<\/span>k]<\/span>)<\/span>)<\/span><\/p>\n

def<\/span> summarize<\/span>(<\/span>cases:<\/span> list<\/span>[<\/span>Case]<\/span>,<\/span> k:<\/span> int<\/span> =<\/span> 3<\/span>)<\/span> –<\/span>><\/span> dict<\/span>[<\/span>str<\/span>,<\/span> float<\/span>]<\/span>:<\/span>
\n assert<\/span> cases and<\/span> k ><\/span> 0<\/span>
\n return<\/span> {<\/span>
\n "old_recall"<\/span>:<\/span> sum<\/span>(<\/span>hit(<\/span>c.<\/span>gold,<\/span> c.<\/span>old_topk,<\/span> k)<\/span> for<\/span> c in<\/span> cases)<\/span> \/<\/span> len<\/span>(<\/span>cases)<\/span>,<\/span>
\n "new_recall"<\/span>:<\/span> sum<\/span>(<\/span>hit(<\/span>c.<\/span>gold,<\/span> c.<\/span>new_topk,<\/span> k)<\/span> for<\/span> c in<\/span> cases)<\/span> \/<\/span> len<\/span>(<\/span>cases)<\/span>,<\/span>
\n "mean_overlap"<\/span>:<\/span> sum<\/span>(<\/span>overlap_at_k(<\/span>c.<\/span>old_topk,<\/span> c.<\/span>new_topk,<\/span> k)<\/span> for<\/span> c in<\/span> cases)<\/span> \/<\/span> len<\/span>(<\/span>cases)<\/span>,<\/span>
\n }<\/span><\/p>\n

def<\/span> demo<\/span>(<\/span>)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
\n # \u793a\u4f8b\u6570\u636e，\u53ea\u7528\u4e8e\u9a8c\u8bc1\u8ba1\u7b97\u903b\u8f91，\u4e0d\u4ee3\u8868\u4efb\u4f55\u6a21\u578b\u771f\u5b9e\u6027\u80fd\u3002<\/span>
\n cases =<\/span> [<\/span>
\n Case(<\/span>"q1"<\/span>,<\/span> frozenset<\/span>(<\/span>{<\/span>"c2"<\/span>}<\/span>)<\/span>,<\/span> (<\/span>"c1"<\/span>,<\/span> "c2"<\/span>,<\/span> "c3"<\/span>)<\/span>,<\/span> (<\/span>"c2"<\/span>,<\/span> "c4"<\/span>,<\/span> "c1"<\/span>)<\/span>)<\/span>,<\/span>
\n Case(<\/span>"q2"<\/span>,<\/span> frozenset<\/span>(<\/span>{<\/span>"c8"<\/span>}<\/span>)<\/span>,<\/span> (<\/span>"c7"<\/span>,<\/span> "c9"<\/span>,<\/span> "c6"<\/span>)<\/span>,<\/span> (<\/span>"c8"<\/span>,<\/span> "c7"<\/span>,<\/span> "c5"<\/span>)<\/span>)<\/span>,<\/span>
\n ]<\/span>
\n result =<\/span> summarize(<\/span>cases)<\/span>
\n assert<\/span> result[<\/span>"old_recall"<\/span>]<\/span> ==<\/span> 0.5<\/span>
\n assert<\/span> result[<\/span>"new_recall"<\/span>]<\/span> ==<\/span> 1.0<\/span>
\n assert<\/span> 0.0<\/span> <=<\/span> result[<\/span>"mean_overlap"<\/span>]<\/span> <=<\/span> 1.0<\/span>
\n print<\/span>(<\/span>result)<\/span><\/p>\n

if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
\n demo(<\/span>)<\/span><\/p>\n

\u8fd0\u884c python compare_runs.py \u4f1a\u6253\u5370\u7531\u4e24\u6761\u793a\u4f8b\u6570\u636e\u8ba1\u7b97\u51fa\u7684\u7ed3\u679c\u3002\u771f\u5b9e\u8bc4\u6d4b\u65f6，\u628a\u4e24\u5957\u68c0\u7d22\u8fd4\u56de\u7684\u7a33\u5b9a chunk ID \u586b\u5165\u540c\u4e00\u9898\u76ee，\u4e0d\u8981\u5148\u8ba9\u65b0\u6a21\u578b\u591a\u53d6\u4e8c\u5341\u6761\u3001\u65e7\u6a21\u578b\u53ea\u53d6\u4e94\u6761\u518d\u6bd4\u8f83\u3002\u82e5\u65b0\u65e7\u6a21\u578b\u9700\u8981\u4e0d\u540c\u76f8\u4f3c\u5ea6\u9608\u503c，\u5e94\u5148\u56fa\u5b9a Top-k \u6bd4\u6392\u5e8f\u8d28\u91cf，\u9608\u503c\u6821\u51c6\u53e6\u5f00\u5b9e\u9a8c\u3002<\/p>\n

\u56db\u3001\u53cc\u5199\u7684\u6b63\u786e\u542b\u4e49：\u5148\u843d\u4e8b\u5b9e，\u518d\u5f02\u6b65\u5efa\u7d22\u5f15<\/h3>\n

\u201c\u53cc\u5199\u201d\u7ecf\u5e38\u88ab\u5b9e\u73b0\u6210\u8bf7\u6c42\u7ebf\u7a0b\u4f9d\u6b21\u8c03\u7528\u65e7\u5e93\u548c\u65b0\u5e93：\u4e24\u4e2a\u90fd\u6210\u529f\u624d\u8fd4\u56de，\u5426\u5219\u6574\u4f53\u62a5\u9519\u3002\u8fd9\u6837\u4f1a\u628a\u65b0\u6a21\u578b\u7684\u6296\u52a8\u76f4\u63a5\u4f20\u5bfc\u5230\u7ebf\u4e0a\u5199\u5165，\u4e5f\u65e0\u6cd5\u89e3\u51b3\u7b2c\u4e00\u6b21\u6210\u529f\u3001\u7b2c\u4e8c\u6b21\u8d85\u65f6\u4f46\u5b9e\u9645\u5df2\u843d\u5e93\u7684\u6b67\u4e49\u3002\u66f4\u53ef\u9760\u7684\u6700\u5c0f\u8bbe\u8ba1\u662f：\u4e1a\u52a1\u4e8b\u52a1\u5148\u5199\u539f\u59cb\u6587\u672c\u548c outbox \u4e8b\u4ef6，\u63d0\u4ea4\u540e\u7531\u6d88\u8d39\u8005\u5206\u522b\u66f4\u65b0\u4e24\u5957\u7d22\u5f15\u3002\u65e7\u7d22\u5f15\u4ecd\u662f\u5f53\u524d\u670d\u52a1\u76ee\u6807，\u65b0\u7d22\u5f15\u5931\u8d25\u53ea\u4ea7\u751f\u79ef\u538b\u544a\u8b66，\u4e0d\u963b\u585e\u4e8b\u5b9e\u6570\u636e\u5199\u5165\u3002<\/p>\n

\u4e8b\u4ef6\u5fc5\u987b\u5305\u542b\u5355\u8c03\u9012\u589e\u7684\u4e1a\u52a1\u7248\u672c\u6216\u53ef\u6bd4\u8f83\u66f4\u65b0\u65f6\u95f4\u3002\u76ee\u6807\u7aef\u66f4\u65b0\u91c7\u7528\u201c\u4ec5\u5f53\u4e8b\u4ef6\u7248\u672c\u4e0d\u5c0f\u4e8e\u5f53\u524d\u7248\u672c\u624d\u8986\u76d6\u201d\u7684\u6761\u4ef6\u5199，\u5220\u9664\u4e5f\u5199\u6210\u5e26\u7248\u672c\u7684\u5893\u7891\u4e8b\u4ef6\u3002\u5426\u5219\u56de\u586b\u626b\u63cf\u5230\u65e7\u7248\u672c\u65f6，\u53ef\u80fd\u5728\u4e00\u6b21\u521a\u5b8c\u6210\u7684\u5728\u7ebf\u66f4\u65b0\u4e4b\u540e\u5230\u8fbe，\u628a\u65b0\u5185\u5bb9\u8986\u76d6\u6389；\u5220\u9664\u4e8b\u4ef6\u82e5\u53ea\u5bf9\u5f53\u4e0b\u5b58\u5728\u7684\u70b9\u751f\u6548，\u56de\u586b\u7a0d\u540e\u8fd8\u4f1a\u628a\u5df2\u5220\u9664\u5185\u5bb9\u590d\u6d3b\u3002<\/p>\n

\u987a\u5e8f\u7684\u5173\u952e\u4e0d\u5728\u6d88\u606f\u961f\u5217\u80fd\u5426\u5168\u5c40\u6709\u5e8f，\u800c\u5728\u540c\u4e00\u4e2a chunk \u7684\u4e8b\u4ef6\u80fd\u5426\u5224\u65b0\u65e7\u3002\u5168\u5c40\u6709\u5e8f\u6210\u672c\u9ad8，\u4e5f\u6ca1\u6709\u5fc5\u8981\u3002\u4ee5 (chunk_id, source_version) \u505a\u5e42\u7b49\u952e，\u4ee5 source_version \u6216\u4e8b\u5b9e\u6e90\u63d0\u4ea4\u5e8f\u5217\u505a\u6761\u4ef6\u66f4\u65b0，\u6d88\u8d39\u8005\u91cd\u8bd5\u5c31\u4e0d\u4f1a\u5236\u9020\u91cd\u590d\u7248\u672c\u3002\u82e5\u6e90\u7cfb\u7edf\u65e0\u6cd5\u63d0\u4f9b\u53ef\u9760\u7248\u672c，\u81f3\u5c11\u4f7f\u7528\u4e8b\u52a1\u5185\u751f\u6210\u7684\u9012\u589e\u5e8f\u5217，\u800c\u4e0d\u662f\u53ea\u7528\u79d2\u7ea7\u65f6\u95f4\u6233\u3002<\/p>\n

\u4e0b\u9762\u662f\u4e00\u4e2a\u6807\u51c6\u5e93\u5b9e\u73b0\u7684\u8fc1\u79fb\u72b6\u6001\u673a\u3002\u5b83\u4e0d\u8fde\u63a5\u5177\u4f53\u6570\u636e\u5e93，\u53ea\u6f14\u793a\u7248\u672c\u95e8\u7981\u3001\u53ef\u91cd\u5165\u56de\u586b\u548c\u5220\u9664\u5893\u7891\u3002\u5185\u5b58\u5b57\u5178\u662f\u793a\u4f8b\u5b58\u50a8，\u751f\u4ea7\u4e2d\u5e94\u6362\u6210\u5e26\u6761\u4ef6\u66f4\u65b0\u80fd\u529b\u7684\u6301\u4e45\u5316\u5b58\u50a8\u3002<\/p>\n

from<\/span> __future__ import<\/span> annotations<\/p>\n

from<\/span> dataclasses import<\/span> dataclass
\nfrom<\/span> hashlib import<\/span> sha256<\/p>\n

@dataclass<\/span>(<\/span>frozen=<\/span>True<\/span>)<\/span>
\nclass<\/span> Event<\/span>:<\/span>
\n chunk_id:<\/span> str<\/span>
\n version:<\/span> int<\/span>
\n text:<\/span> str<\/span> |<\/span> None<\/span><\/p>\n

@dataclass<\/span>(<\/span>frozen=<\/span>True<\/span>)<\/span>
\nclass<\/span> Indexed<\/span>:<\/span>
\n version:<\/span> int<\/span>
\n content_hash:<\/span> str<\/span> |<\/span> None<\/span>
\n deleted:<\/span> bool<\/span><\/p>\n

def<\/span> apply_event<\/span>(<\/span>index:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> Indexed]<\/span>,<\/span> event:<\/span> Event)<\/span> –<\/span>><\/span> bool<\/span>:<\/span>
\n current =<\/span> index.<\/span>get(<\/span>event.<\/span>chunk_id)<\/span>
\n if<\/span> current is<\/span> not<\/span> None<\/span> and<\/span> current.<\/span>version ><\/span> event.<\/span>version:<\/span>
\n return<\/span> False<\/span>
\n digest =<\/span> None<\/span> if<\/span> event.<\/span>text is<\/span> None<\/span> else<\/span> sha256(<\/span>event.<\/span>text.<\/span>encode(<\/span>"utf-8"<\/span>)<\/span>)<\/span>.<\/span>hexdigest(<\/span>)<\/span>
\n index[<\/span>event.<\/span>chunk_id]<\/span> =<\/span> Indexed(<\/span>event.<\/span>version,<\/span> digest,<\/span> event.<\/span>text is<\/span> None<\/span>)<\/span>
\n return<\/span> True<\/span><\/p>\n

def<\/span> demo<\/span>(<\/span>)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
\n target:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> Indexed]<\/span> =<\/span> {<\/span>}<\/span>
\n assert<\/span> apply_event(<\/span>target,<\/span> Event(<\/span>"c1"<\/span>,<\/span> 2<\/span>,<\/span> "\u65b0\u6b63\u6587"<\/span>)<\/span>)<\/span>
\n assert<\/span> not<\/span> apply_event(<\/span>target,<\/span> Event(<\/span>"c1"<\/span>,<\/span> 1<\/span>,<\/span> "\u56de\u586b\u5230\u8fbe\u7684\u65e7\u6b63\u6587"<\/span>)<\/span>)<\/span>
\n assert<\/span> apply_event(<\/span>target,<\/span> Event(<\/span>"c1"<\/span>,<\/span> 3<\/span>,<\/span> None<\/span>)<\/span>)<\/span>
\n assert<\/span> target[<\/span>"c1"<\/span>]<\/span>.<\/span>deleted
\n assert<\/span> not<\/span> apply_event(<\/span>target,<\/span> Event(<\/span>"c1"<\/span>,<\/span> 2<\/span>,<\/span> "\u8fdf\u5230\u7684\u56de\u586b"<\/span>)<\/span>)<\/span>
\n print<\/span>(<\/span>target)<\/span><\/p>\n

if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
\n demo(<\/span>)<\/span><\/p>\n

\u8fd0\u884c python migration_state.py，\u6240\u6709\u65ad\u8a00\u901a\u8fc7\u5373\u53ef\u8bc1\u660e\u8fd9\u6bb5\u6700\u5c0f\u72b6\u6001\u903b\u8f91\u80fd\u6321\u4f4f\u8fdf\u5230\u65e7\u4e8b\u4ef6\u548c\u5220\u9664\u540e\u590d\u6d3b\u3002\u5b83\u6ca1\u6709\u8bc1\u660e\u6d88\u606f\u961f\u5217\u3001\u5411\u91cf\u670d\u52a1\u6216\u6570\u636e\u5e93\u6761\u4ef6\u5199\u6b63\u786e，\u751f\u4ea7\u9a8c\u6536\u4ecd\u9700\u5728\u5b9e\u9645\u7ec4\u4ef6\u4e0a\u505a\u6545\u969c\u6ce8\u5165\u3002<\/p>\n

\u4e94\u3001\u5386\u53f2\u56de\u586b\u4e0d\u662f\u4e00\u6b21\u5168\u8868\u626b\u63cf<\/h3>\n

\u5386\u53f2\u56de\u586b\u8981\u80fd\u6682\u505c\u3001\u9650\u901f\u3001\u91cd\u8bd5\u548c\u65ad\u70b9\u7eed\u8dd1\u3002\u6700\u5b89\u5168\u7684\u6570\u636e\u6765\u6e90\u662f\u539f\u59cb\u6587\u672c\u4e8b\u5b9e\u5e93，\u800c\u4e0d\u662f\u4ece\u65e7\u5411\u91cf\u53cd\u63a8\u6587\u672c\u3002\u82e5\u65e7\u7d22\u5f15 payload \u6070\u597d\u4fdd\u5b58\u4e86\u5b8c\u6574\u8f93\u5165，\u4e5f\u5e94\u6821\u9a8c\u5176\u5185\u5bb9\u54c8\u5e0c\u3001\u7248\u672c\u548c\u6743\u9650\u5b57\u6bb5\u662f\u5426\u4e0e\u4e8b\u5b9e\u6e90\u4e00\u81f4\u3002Embedding \u901a\u5e38\u4e0d\u53ef\u9006，\u4ec5\u6709\u65e7\u5411\u91cf\u65e0\u6cd5\u53ef\u9760\u6062\u590d\u539f\u6587\u3002<\/p>\n

\u5efa\u8bae\u6309\u7a33\u5b9a\u4e3b\u952e\u6e38\u6807\u5206\u9875，\u800c\u4e0d\u662f OFFSET\u3002\u5927\u91cf\u5e76\u53d1\u66f4\u65b0\u65f6，\u504f\u79fb\u5206\u9875\u53ef\u80fd\u8df3\u8fc7\u6216\u91cd\u590d\u8bb0\u5f55；\u7a33\u5b9a\u6e38\u6807\u914d\u5408\u7248\u672c\u6761\u4ef6，\u5373\u4f7f\u91cd\u590d\u8bfb\u4e5f\u5b89\u5168\u3002\u6bcf\u6279\u5148\u8bfb\u53d6\u4e00\u5c0f\u7ec4\u6709\u6548\u8bb0\u5f55，\u6279\u91cf\u8c03\u7528\u65b0\u6a21\u578b，\u518d\u4ee5\u6761\u4ef6\u5199\u5165\u76ee\u6807\u96c6\u5408，\u6210\u529f\u540e\u63d0\u4ea4\u6e38\u6807\u3002\u6a21\u578b\u8bf7\u6c42\u5931\u8d25\u65f6\u4e0d\u8981\u8df3\u8fc7\u5e76\u63a8\u8fdb\u6e38\u6807；\u5e94\u91cd\u8bd5\u6709\u9650\u6b21\u6570，\u4ecd\u5931\u8d25\u5219\u8bb0\u5f55\u6b7b\u4fe1\u53ca\u5177\u4f53 chunk，\u5f85\u4fee\u590d\u540e\u8865\u507f\u3002<\/p>\n

\u56de\u586b\u9650\u901f\u4e0d\u80fd\u53ea\u770b CPU\u3002\u5b83\u4f1a\u5360\u7528\u6a21\u578b\u5e76\u53d1\u3001\u7f51\u7edc\u3001\u76ee\u6807\u5e93\u5199\u541e\u5410\u3001\u7d22\u5f15\u6784\u5efa\u5185\u5b58\u548c\u78c1\u76d8 IOPS\u3002\u628a\u6279\u5927\u5c0f\u3001\u5e76\u53d1\u6570\u548c\u6bcf\u79d2\u5411\u91cf\u6570\u66b4\u9732\u6210\u8fd0\u884c\u53c2\u6570，\u89c2\u5bdf\u5728\u7ebf\u67e5\u8be2 P95 \u4e0e\u76ee\u6807\u5e93\u8d44\u6e90\u540e\u9010\u6b65\u63d0\u5347\u3002\u7269\u7406\u8d44\u6e90\u4e0d\u8db3\u65f6，\u8dd1\u5f97\u6162\u662f\u53ef\u63a5\u53d7\u7684；\u628a\u7ebf\u4e0a\u67e5\u8be2\u62d6\u57ae\u624d\u662f\u771f\u4e8b\u6545\u3002<\/p>\n

\u8fdb\u5ea6\u4e5f\u4e0d\u80fd\u53ea\u62a5\u201c\u5df2\u5b8c\u6210\u767e\u5206\u4e4b\u516b\u5341\u201d\u3002\u66f4\u6709\u7528\u7684\u770b\u677f\u5305\u542b：\u4e8b\u5b9e\u6e90\u5e94\u8fc1\u79fb\u6570\u3001\u76ee\u6807\u6709\u6548\u6570\u3001\u5f85\u5904\u7406\u6570\u3001\u5931\u8d25\u6570\u3001\u6700\u8fd1\u6e38\u6807\u3001\u4e8b\u4ef6\u8ffd\u8d76\u5ef6\u8fdf\u3001\u6309\u79df\u6237\u5206\u5e03\u3001\u54c8\u5e0c\u4e0d\u4e00\u81f4\u6570\u548c\u5220\u9664\u5893\u7891\u6570\u3002\u82e5\u76ee\u6807\u6570\u8d85\u8fc7\u4e8b\u5b9e\u6e90，\u901a\u5e38\u4e0d\u662f\u503c\u5f97\u5e86\u795d，\u800c\u662f\u6709\u91cd\u590d ID\u3001\u5386\u53f2\u7248\u672c\u6216\u5220\u9664\u590d\u6d3b\u3002<\/p>\n

\u516d\u3001\u5b8c\u6574\u6027\u6821\u9a8c\u8981\u505a\u96c6\u5408\u5dee，\u800c\u4e0d\u662f\u62bd\u4e09\u6761<\/h3>\n

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\u6743\u9650\u5b57\u6bb5\u662f\u6700\u5bb9\u6613\u88ab\u5ffd\u7565\u7684\u4e00\u5c42\u3002\u65b0\u96c6\u5408\u82e5\u5c11\u4e86\u79df\u6237\u8fc7\u6ee4\u6216\u90e8\u95e8 ACL，\u79bb\u7ebf Recall \u53ef\u80fd\u66f4\u9ad8，\u56e0\u4e3a\u5b83\u68c0\u7d22\u5230\u4e86\u672c\u4e0d\u8be5\u770b\u5230\u7684\u6587\u6863\u3002\u8d28\u91cf\u9a8c\u6536\u5fc5\u987b\u5728\u771f\u5b9e\u8fc7\u6ee4\u6761\u4ef6\u4e0b\u8fd0\u884c，\u5e76\u52a0\u5165\u201c\u7528\u6237 A \u65e0\u6743\u67e5\u770b\u7528\u6237 B \u6587\u6863\u201d\u7684\u8d1f\u5411\u6837\u4f8b\u3002\u8fc1\u79fb\u6210\u529f\u7684\u5e95\u7ebf\u5148\u662f\u6ca1\u6709\u8d8a\u6743，\u518d\u662f\u76f8\u5173\u6027\u63d0\u5347\u3002<\/p>\n

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\u4e5d\u3001\u5207\u6d41\u4e0d\u662f\u7ec8\u70b9：\u5148\u4fdd\u7559\u53cc\u5199\u548c\u65e7\u7d22\u5f15<\/h3>\n

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\u51c6\u5907\u9636\u6bb5：\u786e\u8ba4\u4e8b\u5b9e\u6e90\u53ef\u91cd\u653e；\u56fa\u5b9a\u65e7\u3001\u65b0\u6a21\u578b\u548c\u9884\u5904\u7406\u7248\u672c；\u4f30\u7b97\u76ee\u6807\u78c1\u76d8\u3001\u5185\u5b58\u4e0e\u7f16\u7801\u914d\u989d；\u5efa\u7acb\u7a33\u5b9a chunk ID；\u51bb\u7ed3\u9898\u96c6\u548c\u65e7\u57fa\u7ebf；\u5199\u6e05\u5207\u6d41\u53ca\u56de\u6eda\u8d1f\u8d23\u4eba\u3002\u4e0d\u8981\u5728\u6ca1\u6709\u539f\u59cb\u6587\u672c\u65f6\u5f00\u59cb\u8fc1\u79fb，\u56e0\u4e3a\u4efb\u4f55\u540e\u7eed\u91cd\u5efa\u90fd\u4f1a\u53d7\u5236\u4e8e\u65e7\u7d22\u5f15\u6b8b\u7f3a payload\u3002<\/p>\n

\u6784\u5efa\u9636\u6bb5：\u521b\u5efa\u76ee\u6807\u96c6\u5408；\u63a5\u901a outbox \u6d88\u8d39；\u5148\u9a8c\u8bc1\u5c11\u91cf\u53cc\u5199；\u542f\u52a8\u53ef\u7eed\u8dd1\u56de\u586b；\u76d1\u63a7\u5931\u8d25\u4e0e\u4e8b\u4ef6\u5ef6\u8fdf；\u5904\u7406\u5220\u9664\u548c\u66f4\u65b0\u7ade\u6001\u3002\u56de\u586b\u5b8c\u6210\u540e，\u518d\u4ece\u4e8b\u5b9e\u6e90\u505a ID\u3001\u7248\u672c\u3001\u54c8\u5e0c\u548c ACL \u5dee\u5f02\u6821\u9a8c，\u800c\u4e0d\u662f\u76f8\u4fe1\u4efb\u52a1\u65e5\u5fd7\u91cc\u7684\u201c\u6210\u529f\u201d\u3002<\/p>\n

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\u53d1\u5e03\u9636\u6bb5：\u56fa\u5b9a\u7528\u6237\u7070\u5ea6；\u9010\u7ea7\u6269\u5927；\u6bcf\u4e00\u7ea7\u7b49\u5f85\u8db3\u591f\u6837\u672c；\u539f\u5b50\u5207\u6362\u67e5\u8be2；\u4fdd\u7559\u53cc\u5199\u548c\u65e7\u7d22\u5f15；\u5b8c\u6210\u89c2\u5bdf\u671f\u540e\u505c\u6b62\u65e7\u5199；\u5236\u4f5c\u53ef\u6062\u590d\u5feb\u7167；\u6700\u540e\u91ca\u653e\u65e7\u8d44\u6e90\u3002\u4efb\u4f55\u9636\u6bb5\u89e6\u53d1\u95e8\u7981\u90fd\u5e94\u505c\u6b62\u6269\u5927，\u800c\u4e0d\u662f\u4e3a\u4e86\u8d76\u7a97\u53e3\u964d\u4f4e\u9608\u503c\u3002<\/p>\n

\u5341\u4e00\u3001\u5e38\u89c1\u5931\u8d25\u4ee5\u53ca\u771f\u6b63\u7684\u6839\u56e0<\/h3>\n

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\u56de\u6eda\u4e4b\u540e\u4e0d\u8981\u7acb\u5373\u5220\u9664\u76ee\u6807\u96c6\u5408\u3002\u5148\u51bb\u7ed3\u5176\u5199\u5165，\u4fdd\u5b58\u6545\u969c\u65f6\u7684\u7d22\u5f15\u72b6\u6001\u3001\u5dee\u5f02\u62a5\u544a\u548c\u8bf7\u6c42\u6837\u672c，\u65b9\u4fbf\u590d\u76d8\u3002\u5982\u679c\u6839\u56e0\u53ea\u662f\u67e5\u8be2\u524d\u7f00\u6f0f\u914d，\u4fee\u590d\u540e\u53ef\u4ee5\u4ece\u4e8b\u5b9e\u6c34\u4f4d\u7ee7\u7eed\u8ffd\u8d76，\u800c\u4e0d\u5fc5\u91cd\u8dd1\u5168\u90e8\u5386\u53f2；\u5982\u679c\u53d1\u73b0\u5411\u91cf\u751f\u6210\u8f93\u5165\u9519\u8bef，\u5219\u5e94\u5e9f\u5f03\u76ee\u6807\u5411\u91cf\u5e76\u4ece\u4e8b\u5b9e\u6e90\u91cd\u5efa\u3002\u4fdd\u7559\u8bc1\u636e\u4e0d\u7b49\u4e8e\u7ee7\u7eed\u5411\u7528\u6237\u63d0\u4f9b\u6545\u969c\u7ed3\u679c，\u4e24\u8005\u53ef\u4ee5\u5206\u79bb\u3002<\/p>\n

\u5341\u4e94\u3001\u5b89\u5168\u3001\u5408\u89c4\u4e0e\u9002\u7528\u8fb9\u754c<\/h3>\n

\u82e5\u6587\u672c\u542b\u4e2a\u4eba\u4fe1\u606f\u3001\u6e90\u4ee3\u7801\u3001\u5408\u540c\u6216\u533b\u7597\u8d44\u6599，\u65b0\u6a21\u578b\u670d\u52a1\u7684\u4f4d\u7f6e\u672c\u8eab\u5c31\u662f\u6570\u636e\u51fa\u5883\u4e0e\u4f9b\u5e94\u94fe\u51b3\u7b56\u3002\u8fc1\u79fb\u524d\u5e94\u786e\u8ba4\u5904\u7406\u533a\u57df\u3001\u65e5\u5fd7\u7b56\u7565\u3001\u4fdd\u7559\u671f\u9650\u548c\u4f9b\u5e94\u5546\u534f\u8bae\u3002\u4e0d\u8981\u56e0\u4e3a\u5b83\u53ea\u662f\u201c\u751f\u6210\u5411\u91cf\u201d\u5c31\u8ba4\u4e3a\u539f\u6587\u6ca1\u6709\u79bb\u5f00\u7cfb\u7edf；\u6a21\u578b\u670d\u52a1\u4ecd\u7136\u63a5\u6536\u4e86\u5b8c\u6574\u8f93\u5165\u3002<\/p>\n

\u5411\u91cf\u548c payload \u4e5f\u4e0d\u662f\u65e0\u654f\u611f\u6570\u636e\u3002\u6210\u5458\u63a8\u65ad\u3001\u8fd1\u90bb\u6cc4\u9732\u548c\u9519\u8bef\u6743\u9650\u8fc7\u6ee4\u90fd\u53ef\u80fd\u66b4\u9732\u4fe1\u606f\u3002\u76ee\u6807\u96c6\u5408\u5fc5\u987b\u7ee7\u627f\u539f ACL，\u5e76\u7528\u672a\u6388\u6743\u67e5\u8be2\u505a\u8d1f\u5411\u56de\u5f52\u3002\u8fc1\u79fb\u811a\u672c\u7684\u670d\u52a1\u8d26\u53f7\u53ea\u6388\u4e88\u6240\u9700\u96c6\u5408\u4e0e\u4e8b\u5b9e\u6e90\u7684\u6700\u5c0f\u6743\u9650，\u51ed\u636e\u653e\u5728\u73af\u5883\u6216\u5bc6\u94a5\u7ba1\u7406\u7cfb\u7edf\u4e2d，\u4e0d\u5199\u8fdb\u811a\u672c\u3001\u955c\u50cf\u548c\u6587\u7ae0\u793a\u4f8b\u3002<\/p>\n

\u672c\u6587\u65b9\u6848\u9002\u5408\u6709\u6301\u7eed\u5199\u5165\u3001\u4e0d\u80fd\u957f\u65f6\u95f4\u505c\u673a\u3001\u4e14\u4fdd\u7559\u53ef\u91cd\u5efa\u539f\u6587\u7684\u68c0\u7d22\u7cfb\u7edf\u3002\u82e5\u6570\u636e\u53ea\u6709\u51e0\u5343\u6761\u3001\u5141\u8bb8\u7ef4\u62a4\u7a97\u53e3，\u505c\u5199\u540e\u79bb\u7ebf\u91cd\u5efa\u5e76\u4e00\u6b21\u5207\u6362\u53ef\u80fd\u66f4\u7b80\u5355\u53ef\u9760，\u4e0d\u5fc5\u4e3a\u201c\u53cc\u5199\u5e73\u53f0\u201d\u589e\u52a0\u6c38\u4e45\u7ec4\u4ef6\u3002\u82e5\u6570\u636e\u5e93\u5df2\u539f\u751f\u652f\u6301\u547d\u540d\u5411\u91cf\u3001\u6761\u4ef6\u66f4\u65b0\u548c\u539f\u5b50\u522b\u540d，\u5e94\u4f18\u5148\u4f7f\u7528；\u6ca1\u6709\u8fd9\u4e9b\u80fd\u529b\u65f6，\u4e5f\u53ef\u4ee5\u7528\u4e24\u4e2a\u96c6\u5408\u52a0\u5e94\u7528\u8def\u7531\u5b8c\u6210\u6700\u5c0f\u95ed\u73af\u3002<\/p>\n

Embedding \u8fc1\u79fb\u6ca1\u6709\u771f\u6b63\u610f\u4e49\u4e0a\u7684\u201c\u96f6\u98ce\u9669\u201d，\u53ea\u6709\u628a\u98ce\u9669\u62c6\u5f00\u5e76\u7559\u4e0b\u8bc1\u636e\u3002\u6700\u503c\u5f97\u575a\u6301\u7684\u539f\u5219\u662f：\u65e7\u7cfb\u7edf\u4fdd\u6301\u53ef\u7528，\u5386\u53f2\u6570\u636e\u53ef\u91cd\u590d\u56de\u586b，\u5728\u7ebf\u53d8\u5316\u4e0d\u4f1a\u4e22，\u5207\u6362\u6709\u95e8\u7981，\u56de\u6eda\u65f6\u65e7\u6570\u636e\u4ecd\u7136\u65b0\u9c9c\u3002\u505a\u5230\u8fd9\u4e94\u70b9，\u66f4\u6362\u6a21\u578b\u624d\u662f\u4e00\u6b21\u53d7\u63a7\u53d1\u5e03，\u800c\u4e0d\u662f\u5728\u751f\u4ea7\u5411\u91cf\u7a7a\u95f4\u91cc\u8c6a\u8d4c\u3002<\/p>\n

\u53c2\u8003\u8d44\u6599<\/h3>\n