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…arn Prediction's error A ground-truth name that is not in the data input failed compilation with None.get. Say which column is missing instead, in the wording MachineLearningScorer already uses. Closes apache#8864 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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| config | throughput | MB/s | latency | max Δ latest / 7d | |
|---|---|---|---|---|---|
| 🔴 | bs=10 sw=10 sl=64 | 379 | 0.231 | 25,843/31,532/31,532 us | 🟢 -15.8% / 🔴 +115.6% |
| 🔴 | bs=100 sw=10 sl=64 | 772 | 0.471 | 127,685/157,103/157,103 us | 🔴 +8.1% / 🔴 +53.5% |
| 🔴 | bs=1000 sw=10 sl=64 | 894 | 0.545 | 1,109,481/1,279,423/1,279,423 us | 🔴 +10.3% / 🔴 +30.0% |
Baseline details
Latest main 40b507d from same runner
| config | metric | PR | latest main | 7d avg | Δ latest | Δ 7d |
|---|---|---|---|---|---|---|
| bs=10 sw=10 sl=64 | throughput | 379 tuples/sec | 417 tuples/sec | 866.99 tuples/sec | -9.1% | -56.3% |
| bs=10 sw=10 sl=64 | MB/s | 0.231 MB/s | 0.255 MB/s | 0.529 MB/s | -9.4% | -56.3% |
| bs=10 sw=10 sl=64 | p50 | 25,843 us | 22,804 us | 11,989 us | +13.3% | +115.6% |
| bs=10 sw=10 sl=64 | p95 | 31,532 us | 37,434 us | 14,672 us | -15.8% | +114.9% |
| bs=10 sw=10 sl=64 | p99 | 31,532 us | 37,434 us | 17,906 us | -15.8% | +76.1% |
| bs=100 sw=10 sl=64 | throughput | 772 tuples/sec | 814 tuples/sec | 1,111 tuples/sec | -5.2% | -30.5% |
| bs=100 sw=10 sl=64 | MB/s | 0.471 MB/s | 0.497 MB/s | 0.678 MB/s | -5.2% | -30.6% |
| bs=100 sw=10 sl=64 | p50 | 127,685 us | 118,150 us | 95,405 us | +8.1% | +33.8% |
| bs=100 sw=10 sl=64 | p95 | 157,103 us | 158,395 us | 102,332 us | -0.8% | +53.5% |
| bs=100 sw=10 sl=64 | p99 | 157,103 us | 158,395 us | 115,219 us | -0.8% | +36.4% |
| bs=1000 sw=10 sl=64 | throughput | 894 tuples/sec | 913 tuples/sec | 1,141 tuples/sec | -2.1% | -21.6% |
| bs=1000 sw=10 sl=64 | MB/s | 0.545 MB/s | 0.557 MB/s | 0.696 MB/s | -2.2% | -21.7% |
| bs=1000 sw=10 sl=64 | p50 | 1,109,481 us | 1,096,719 us | 938,794 us | +1.2% | +18.2% |
| bs=1000 sw=10 sl=64 | p95 | 1,279,423 us | 1,160,383 us | 984,521 us | +10.3% | +30.0% |
| bs=1000 sw=10 sl=64 | p99 | 1,279,423 us | 1,160,383 us | 1,008,827 us | +10.3% | +26.8% |
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
0,10,10,64,20,527.76,200,128000,379,0.231,25843.32,31531.69,31531.69
1,100,10,64,20,2589.83,2000,1280000,772,0.471,127685.43,157103.24,157103.24
2,1000,10,64,20,22383.45,20000,12800000,894,0.545,1109481.49,1279422.83,1279422.83
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Oct 8, 2026
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One regression reproduced on this head with a passing exact-case control.
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…klearn Prediction Schema lookups ignore case, but the generated drop() does not, so a case-only match passed validation and then raised KeyError at runtime. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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What changes were proposed in this PR?
When Sklearn Prediction's "Ground Truth Attribute Name to Ignore" names a column that is not in the data input, compilation failed with
java.util.NoSuchElementException: None.get, which does not tell the user what is wrong. It now fails with "Ground Truth column '' is not in the input table", the same wording MachineLearningScorer uses for its columns.Any related issues, documentation, discussions?
Closes #8864
How was this PR tested?
Updated the existing test in
SklearnPredictionOpDescSpecto check the new message.sbt "WorkflowOperator/testOnly *SklearnPredictionOpDescSpec"passes, and so do scalafmt and scalafix.Was this PR authored or co-authored using generative AI tooling?
Generated-by: Claude Code (Claude Opus 5.5)
🤖 Generated with Claude Code