fix(ci): trim benchmark full grid to fit daily run under 6h timeout

[Ma77Ball]

What changes were proposed in this PR?

• Drop batchSize=10000 from the full-mode benchmark grid in ArrowFlightActorBench.scala, taking the daily sweep from 36 configs to 27 and removing the 9 heaviest configs (30-70 min each) that pushed the run past GitHub's 6h job ceiling.
• Update the now-stale "36-config / ~50-60 min" comments to "27-config / ~40 min" in the bench source and benchmarks.yml.

Any related issues, documentation, discussions?

Closes: #5904

How was this PR tested?

• Non-functional change (benchmark harness grid + CI comments); no shipped behavior and no unit test covers the bench grid contents.
• CI timing verification: trigger the Benchmarks workflow via workflow_dispatch on this branch (the only non-schedule trigger that runs full mode) and confirm the Bench job finishes well under 6h (expected ~40-50 min including compile/setup), reaching the publish steps.

Was this PR authored or co-authored using generative AI tooling?

Co-authored with Claude Opus 4.8 in compliance with ASF

[Ma77Ball]

/request-review @Yicong-Huang

[github-actions]

Automated Reviewer Suggestions

Based on the git blame history of the changed files, we recommend the following reviewers:

• Contributors with relevant context: @Yicong-Huang
  You can notify them by mentioning @Yicong-Huang in a comment.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 54.10%. Comparing base (8803d08) to head (25183bb).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@             Coverage Diff              @@
##               main    #5905      +/-   ##
============================================
- Coverage     54.11%   54.10%   -0.02%     
+ Complexity     2819     2816       -3     
============================================
  Files          1103     1103              
  Lines         42650    42650              
  Branches       4588     4588              
============================================
- Hits          23079    23074       -5     
- Misses        18226    18230       +4     
- Partials       1345     1346       +1     

Flag	Coverage Δ		*Carryforward flag
access-control-service	70.44% <ø> (ø)
agent-service	34.36% <ø> (ø)
amber	55.61% <ø> (-0.04%)	⬇️
computing-unit-managing-service	1.65% <ø> (ø)
config-service	57.35% <ø> (ø)
file-service	58.59% <ø> (ø)
frontend	48.12% <ø> (ø)
pyamber	90.20% <ø> (ø)
python	90.76% <ø> (ø)		Carriedforward from f4efde6
workflow-compiling-service	58.69% <ø> (ø)

*This pull request uses carry forward flags. Click here to find out more.

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[github-actions]

⚠️ Benchmark changes need a look

🟢 2 better · 🔴 3 worse · ⚪ 10 noise (<±5%) · 0 without baseline

Compared against main 8803d08 benchmarked on this same runner, so the delta is largely free of cross-runner hardware noise. The "7d avg" column still reflects the gh-pages dashboard. Treat <±5% as noise unless repeated.

Dashboard · Run

	config	throughput	MB/s	latency	max Δ latest / 7d
🔴	bs=10 sw=10 sl=64	459	0.28	22,231/26,678/26,678 us	🔴 +15.5% / 🟢 -23.7%
🔴	bs=100 sw=10 sl=64	954	0.583	103,243/137,028/137,028 us	🔴 +11.5% / 🟢 -8.0%
⚪	bs=1000 sw=10 sl=64	1,098	0.67	911,702/983,266/983,266 us	⚪ within ±5% / 🟢 -6.3%

Baseline details

Latest main 8803d08 from same runner

config	metric	PR	latest main	7d avg	Δ latest	Δ 7d
bs=10 sw=10 sl=64	throughput	459 tuples/sec	473 tuples/sec	410.82 tuples/sec	-3.0%	+11.7%
bs=10 sw=10 sl=64	MB/s	0.28 MB/s	0.289 MB/s	0.251 MB/s	-3.1%	+11.7%
bs=10 sw=10 sl=64	p50	22,231 us	19,254 us	23,785 us	+15.5%	-6.5%
bs=10 sw=10 sl=64	p95	26,678 us	30,900 us	34,980 us	-13.7%	-23.7%
bs=10 sw=10 sl=64	p99	26,678 us	30,900 us	34,980 us	-13.7%	-23.7%
bs=100 sw=10 sl=64	throughput	954 tuples/sec	970 tuples/sec	891.94 tuples/sec	-1.6%	+7.0%
bs=100 sw=10 sl=64	MB/s	0.583 MB/s	0.592 MB/s	0.544 MB/s	-1.5%	+7.1%
bs=100 sw=10 sl=64	p50	103,243 us	104,302 us	112,277 us	-1.0%	-8.0%
bs=100 sw=10 sl=64	p95	137,028 us	122,844 us	139,802 us	+11.5%	-2.0%
bs=100 sw=10 sl=64	p99	137,028 us	122,844 us	139,802 us	+11.5%	-2.0%
bs=1000 sw=10 sl=64	throughput	1,098 tuples/sec	1,126 tuples/sec	1,041 tuples/sec	-2.5%	+5.5%
bs=1000 sw=10 sl=64	MB/s	0.67 MB/s	0.687 MB/s	0.635 MB/s	-2.5%	+5.4%
bs=1000 sw=10 sl=64	p50	911,702 us	887,392 us	972,714 us	+2.7%	-6.3%
bs=1000 sw=10 sl=64	p95	983,266 us	942,143 us	1,023,057 us	+4.4%	-3.9%
bs=1000 sw=10 sl=64	p99	983,266 us	942,143 us	1,023,057 us	+4.4%	-3.9%

Raw CSV

config_idx,batch_size,schema_width,string_len,num_batches,total_ms,total_tuples,total_bytes,tuples_per_sec,mb_per_sec,lat_p50_us,lat_p95_us,lat_p99_us
0,10,10,64,20,436.16,200,128000,459,0.280,22231.41,26677.54,26677.54
1,100,10,64,20,2095.47,2000,1280000,954,0.583,103242.50,137027.52,137027.52
2,1000,10,64,20,18210.89,20000,12800000,1098,0.670,911701.56,983265.63,983265.63