feat: implement Document AI functions & support custom IK dictionaries#1064
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breeze-wink wants to merge 9 commits into
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feat: implement Document AI functions & support custom IK dictionaries#1064breeze-wink wants to merge 9 commits into
breeze-wink wants to merge 9 commits into
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Add LOAD_FILE support for reading BLOB data from local locations and implement AI_SPLIT_DOCUMENT as a table function with text, markdown, sentence, word, max, and overlap handling. Register the parser, resolver, expression, and execution paths, and add a one-command runner for the official mysqltests. Tests: ./tools/deploy/run_document_ai_tests.sh --no-build
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Document AI & IK Custom Dictionary ScoreDocument AI Functions Score =========================== score: 100.00 / 100 load_file: 50 / 50 ai_split_document: 50 / 50 IK Custom Dictionary Score ========================== score: 100.00 / 100 ik_custom_dict: 100 / 100 FTS Large Benchmark ScoreFTS Large Benchmark Score ========================= score: 57.78 / 100 mean_improvement: 28.89% full_score_improvement: 50.00% build_improvement: 31.13% build_ik_all_sec: baseline=35.2836, current=24.454, improvement=30.69% build_ik_content_sec: baseline=28.3764, current=19.298, improvement=31.99% build_beng_en_sec: baseline=14.7578, current=10.225, improvement=30.71% tokenize_improvement: 7.72% tokenize_ik_avg_ms: baseline=0.76478, current=0.6992, improvement=8.58% tokenize_beng_avg_ms: baseline=0.42262, current=0.3936, improvement=6.87% query_improvement: 47.81% query_cn_avg_ms: baseline=16.6628, current=7.5294, improvement=54.81% query_beng_avg_ms: baseline=24.3042, current=10.562, improvement=56.54% query_mixed_avg_ms: baseline=17.5593, current=8.2204, improvement=53.18% query_limit_avg_ms: baseline=16.2334, current=11.8961, improvement=26.72% FTS Large Benchmark Report======================================== FTS Large Benchmark Report ======================================== timestamp: 2026-07-15 12:07:12 label: vldb-ci-29412330403-1 git_head: f73618b git_dirty: 0 rows: 20000 batch: 500 rounds: 3000 query_rounds: 200 samples: 3 warmup: 30 skip_load: 0 ---------------------------------------- select1_avg_ms: 0.2194 select1_stdev_ms: 0.0230 raw_load_sec: 1.459 raw_load_rows_per_sec: 13708.0 build_ik_all_sec: 24.454 build_ik_content_sec: 19.298 build_beng_en_sec: 10.225 build_total_sec: 53.989 ---------------------------------------- tokenize_ik_avg_ms: 0.6992 tokenize_ik_median_ms: 0.6990 tokenize_ik_stdev_ms: 0.0011 tokenize_beng_avg_ms: 0.3936 tokenize_beng_median_ms:0.3828 tokenize_beng_stdev_ms: 0.0181 ---------------------------------------- query_cn_hits: 8001 query_cn_avg_ms: 7.5294 query_cn_stdev_ms: 0.0047 query_beng_hits: 11000 query_beng_avg_ms: 10.5620 query_beng_stdev_ms: 0.0106 query_mixed_hits: 7332 query_mixed_avg_ms: 8.2204 query_mixed_stdev_ms: 0.0130 query_limit_hits: 20 query_limit_avg_ms: 11.8961 query_limit_stdev_ms: 0.0243 ======================================== |
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Task Description
2026数据库暑期学校测试：湘桂粉丝队
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