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chore: retrigger Op17 CI#1138

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zhanhongliu2001 wants to merge 160 commits into
oceanbase:vldb_2026from
zhanhongliu2001:codex/retrigger-op17-ci-1f7cb54
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chore: retrigger Op17 CI#1138
zhanhongliu2001 wants to merge 160 commits into
oceanbase:vldb_2026from
zhanhongliu2001:codex/retrigger-op17-ci-1f7cb54

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@zhanhongliu2001

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Summary

  • submit the exact code state at commit 1f7cb54118af046dbc5d67dfe7ce6b84a567c24a
  • retrigger the Op17 VLDB benchmark CI on the latest cumulative FTS optimization state

Validation

  • verified the local branch head exactly matches 1f7cb54118af046dbc5d67dfe7ce6b84a567c24a
  • confirmed this is an empty CI retrigger commit whose tree matches parent b127ddbb972b0d1885cc3724c3b13fac88e58454
  • git diff --check 1f7cb54^ 1f7cb54 passes
  • no local generated files are included

wangzelin.wzl and others added 30 commits November 4, 2025 19:10
[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 <yy19902439@126.com>
zhanhongliu2001 and others added 28 commits July 14, 2026 04:32
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CLA assistant check
Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution.
2 out of 4 committers have signed the CLA.

✅ cao1629
✅ sallyjinx
❌ wangzelin.wzl
❌ zhanhongliu2001


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@LINxiansheng

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Document AI & IK Custom Dictionary Score

Document 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 Score

FTS Large Benchmark Score
=========================
score: 100.00 / 100
mean_improvement: 54.32%
full_score_improvement: 50.00%

build_improvement: 42.51%
  build_ik_all_sec: baseline=35.2836, current=21.19, improvement=39.94%
  build_ik_content_sec: baseline=28.3764, current=15.695, improvement=44.69%
  build_beng_en_sec: baseline=14.7578, current=8.426, improvement=42.90%
tokenize_improvement: 37.67%
  tokenize_ik_avg_ms: baseline=0.76478, current=0.3646, improvement=52.33%
  tokenize_beng_avg_ms: baseline=0.42262, current=0.3254, improvement=23.00%
query_improvement: 82.79%
  query_cn_avg_ms: baseline=16.6628, current=3.157, improvement=81.05%
  query_beng_avg_ms: baseline=24.3042, current=4.757, improvement=80.43%
  query_mixed_avg_ms: baseline=17.5593, current=3.8071, improvement=78.32%
  query_limit_avg_ms: baseline=16.2334, current=1.3995, improvement=91.38%

FTS Large Benchmark Report

========================================
FTS Large Benchmark Report
========================================
timestamp:              2026-07-18 07:58:14
label:                  vldb-ci-29635639519-1
git_head:               1f7cb54
git_dirty:              0
rows:                   20000
batch:                  500
rounds:                 3000
query_rounds:           200
samples:                3
warmup:                 30
skip_load:              0
----------------------------------------
select1_avg_ms:         0.2692
select1_stdev_ms:       0.0017
raw_load_sec:           1.577
raw_load_rows_per_sec:  12682.3
build_ik_all_sec:       21.190
build_ik_content_sec:   15.695
build_beng_en_sec:      8.426
build_total_sec:        45.324
----------------------------------------
tokenize_ik_avg_ms:     0.3646
tokenize_ik_median_ms:  0.3607
tokenize_ik_stdev_ms:   0.0067
tokenize_beng_avg_ms:   0.3254
tokenize_beng_median_ms:0.3261
tokenize_beng_stdev_ms: 0.0017
----------------------------------------
query_cn_hits:          8001
query_cn_avg_ms:        3.1570
query_cn_stdev_ms:      0.0048
query_beng_hits:        11000
query_beng_avg_ms:      4.7570
query_beng_stdev_ms:    0.0152
query_mixed_hits:       7332
query_mixed_avg_ms:     3.8071
query_mixed_stdev_ms:   0.0014
query_limit_hits:       20
query_limit_avg_ms:     1.3995
query_limit_stdev_ms:   0.0075
========================================

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