Feat/q3 ik custom dict lzh#1053
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[TABLELOCK] fix the bug of mysql lock table in observer-lite
[MV.BUGFIX] fail to drop index for mv table with renamed index
fix ivf async task generate_aux_table_info_map when schema_version not change
Optimize the bootstrap time of the observer
Fixed oceanbase#21, [Enhancement]: remove old python sdk demo in the Readme
Fixed oceanbase#24, [Enhancement]: Refine Key Features in README.md
Fixed oceanbase#27, [Bug]: update build and run observer part in README.md
refine product comparison table
Added full-text and vector indexes to the articles table for improved search capabilities.
Added full-text and vector indexing to articles table for improved search capabilities.
Signed-off-by: SamYuan1990 <[email protected]>
Conflicts resolved by accepting master (theirs) version.
# Conflicts: # src/share/ob_errno.cpp # src/share/ob_errno.h # tools/ob_error/src/ob_error.cpp
…nbase#1022) Read ai_funcs_score.txt out of the comment artifact and emit it as a "Document AI & IK Custom Dictionary Score" section above the FTS sections. Each section is now emitted only when its input file exists, and the job no longer skips the comment when the FTS benchmark produced no report but the ai_funcs score is present. This workflow is triggered by workflow_run, so GitHub always runs the copy on the default branch. The change has to land here for PRs targeting vldb_2026 to show the scores.
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Document AI & IK Custom Dictionary ScoreDocument AI Functions Score =========================== score: 0.00 / 100 load_file: 0 / 50 ai_split_document: 0 / 50 IK Custom Dictionary Score ========================== score: 100.00 / 100 ik_custom_dict: 100 / 100 FTS Large Benchmark ScoreFTS Large Benchmark Score ========================= score: 1.35 / 100 mean_improvement: 0.68% full_score_improvement: 50.00% build_improvement: -0.18% build_ik_all_sec: baseline=35.2836, current=34.545, improvement=2.09% build_ik_content_sec: baseline=28.3764, current=28.232, improvement=0.51% build_beng_en_sec: baseline=14.7578, current=15.222, improvement=-3.15% tokenize_improvement: 0.94% tokenize_ik_avg_ms: baseline=0.76478, current=0.7705, improvement=-0.75% tokenize_beng_avg_ms: baseline=0.42262, current=0.4115, improvement=2.63% query_improvement: 1.27% query_cn_avg_ms: baseline=16.6628, current=16.442, improvement=1.33% query_beng_avg_ms: baseline=24.3042, current=23.9165, improvement=1.60% query_mixed_avg_ms: baseline=17.5593, current=17.2837, improvement=1.57% query_limit_avg_ms: baseline=16.2334, current=16.138, improvement=0.59% FTS Large Benchmark Report======================================== FTS Large Benchmark Report ======================================== timestamp: 2026-07-14 07:32:27 label: vldb-ci-29312826514-1 git_head: 52ac060 git_dirty: 0 rows: 20000 batch: 500 rounds: 3000 query_rounds: 200 samples: 3 warmup: 30 skip_load: 0 ---------------------------------------- select1_avg_ms: 0.2017 select1_stdev_ms: 0.0006 raw_load_sec: 1.474 raw_load_rows_per_sec: 13568.5 build_ik_all_sec: 34.545 build_ik_content_sec: 28.232 build_beng_en_sec: 15.222 build_total_sec: 78.010 ---------------------------------------- tokenize_ik_avg_ms: 0.7705 tokenize_ik_median_ms: 0.7703 tokenize_ik_stdev_ms: 0.0011 tokenize_beng_avg_ms: 0.4115 tokenize_beng_median_ms:0.4110 tokenize_beng_stdev_ms: 0.0008 ---------------------------------------- query_cn_hits: 8001 query_cn_avg_ms: 16.4420 query_cn_stdev_ms: 0.0324 query_beng_hits: 11000 query_beng_avg_ms: 23.9165 query_beng_stdev_ms: 0.0252 query_mixed_hits: 7332 query_mixed_avg_ms: 17.2837 query_mixed_stdev_ms: 0.0076 query_limit_hits: 20 query_limit_avg_ms: 16.1380 query_limit_stdev_ms: 0.0016 ======================================== |
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