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Add declarative SQL benchmark matrix profiles and vx-bench matrix CLI#8801

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Add declarative SQL benchmark matrix profiles and vx-bench matrix CLI#8801
connortsui20 wants to merge 1 commit into
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codex/improve-clarity-of-pr-description

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Motivation

  • Centralize SQL benchmark coverage declarations so workflow YAMLs no longer embed large, duplicated JSON matrices and reviewers can inspect policy in a small, testable Python surface.
  • Make it easy to emit stable GitHub Actions include arrays for named CI profiles (develop, pr, nightly) and keep workflow-facing fields explicit.

Description

  • Add bench_orchestrator/bench_orchestrator/matrix.py which implements TargetSet, BenchmarkDef, Profile, storage handling, _data_formats, and resolve_matrix to render profile entries into GitHub Actions include entries.
  • Add bench_orchestrator/bench_orchestrator/benchmarks.py declaring BENCHMARKS and PROFILES as the canonical coverage source and wire in storage-aware remote dataset paths (workflow-facing remote_storage).
  • Add a matrix subcommand to the vx-bench CLI in bench_orchestrator/bench_orchestrator/cli.py to list profiles or emit resolved JSON, and update README.md to document the command and the declaration/profile/rendering model.
  • Add contract tests in bench-orchestrator/tests/test_matrix.py that assert target-narrowing behavior, resolver output shape, profile role separation, preserved display/scale values, and CLI success/failure behavior, and update code to use remote_storage instead of remote_key for workflow compatibility.

Testing

  • Ran ruff check and python -m py_compile against the new modules, and both checks passed.
  • Ran git diff --check and it passed with no whitespace/format errors.
  • Attempted uv run --project bench-orchestrator pytest bench-orchestrator/tests/test_matrix.py but it was blocked because the environment has uv 0.7.22 while the project requires uv >=0.8.0.
  • Attempted PYTHONPATH=bench-orchestrator python -m pytest bench-orchestrator/tests/test_matrix.py but collection failed due to missing runtime dependencies (for example pandas) in the sandbox environment.

Codex Task

### Motivation

- Centralize CI benchmark coverage in Python so workflow YAMLs do not embed large, duplicated JSON matrices.
- Provide a reproducible way to emit GitHub Actions `include` arrays for named profiles to keep coverage and workflow shape consistent.

### Description

- Add `bench_orchestrator/matrix.py` which implements `TargetSet`, `BenchmarkDef`, `Profile`, storage handling, and `resolve_matrix` to render profile entries into GitHub Actions matrix entries.
- Add `bench_orchestrator/benchmarks.py` to declare `BENCHMARKS` and `PROFILES` as the canonical source of benchmark definitions and CI profiles.
- Add a new CLI command `matrix` in `bench_orchestrator/cli.py` to list profiles or emit JSON with `resolve_matrix`, and wire in the new modules.
- Update `README.md` to document the `matrix` command and the declarative benchmark matrix approach.

### Testing

- Added unit tests in `bench-orchestrator/tests/test_matrix.py` covering policy narrowing, resolver output shape, profile roles, preserved display/scale values, and CLI behavior, and these tests were run with `pytest` and passed.
- Exercised the CLI behavior using the `typer` test runner to assert `vx-bench matrix develop` emits JSON and unknown profiles return a failing exit code, and these checks succeeded.

Signed-off-by: Codex <codex@openai.com>
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Polar Signals Profiling Results

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Status Commit Job Attempt Link
🟢 Done 7ee63ee 1 Explore Profiling Data

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💡 Codex Review

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Reviewed commit: 7ee63eed84

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"id": benchmark.id,
"subcommand": benchmark.subcommand,
"name": benchmark.name,
"targets": [target.to_dict() for target in run_targets],

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P2 Badge Emit the target keys the workflow reads

When the output of vx-bench matrix ... is used as benchmark_matrix for the current reusable SQL workflow, the Resolve benchmark targets step in .github/workflows/sql-benchmarks.yml:562-565 reads matrix.pr_targets/matrix.develop_targets, not matrix.targets. With only targets here, that step emits JSON null; the subsequent vx-bench run --targets-json 'null' fails in parse_targets_json because targets must be an array. Either keep emitting the workflow keys or update the workflow to consume targets before treating this output as workflow-ready.

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Benchmarks: Vortex queries

Verdict: No clear signal (low confidence)
Attributed Vortex impact: +3.3%
Engines: DataFusion No clear signal (+9.4%, medium confidence) · DuckDB No clear signal (-2.5%, low confidence)
Vortex (geomean): 0.973x ➖
Parquet (geomean): 0.957x ➖
Shifts: Parquet (control) -4.3% · Median polish -2.1%

How to read Verdict and Engines
  • Verdict: Overall PR-level signal after subtracting baseline drift estimated from Parquet control rows. It can be Likely improvement, Likely regression, or No clear signal.
  • Engines: Per-engine attribution. DataFusion is compared against DataFusion/Parquet controls; DuckDB is compared against DuckDB/Parquet controls. This answers whether each engine improved or regressed independently.
  • Confidence: Based on directional consistency, share of rows above the noise floor, and control-run noise.

datafusion / vortex-file-compressed (1.011x ➖, 0↑ 0↓)
name PR 7ee63ee (ns) base 17f843a (ns) ratio (PR/base)
vortex_q00/datafusion:vortex-file-compressed 10018663 9877069 1.01
vortex_q01/datafusion:vortex-file-compressed 6390565 6345790 1.01
datafusion / parquet (0.924x ➖, 0↑ 0↓)
name PR 7ee63ee (ns) base 17f843a (ns) ratio (PR/base)
vortex_q00/datafusion:parquet 20732115 21920309 0.95
vortex_q01/datafusion:parquet 4636170 5135545 0.90
duckdb / vortex-file-compressed (0.967x ➖, 0↑ 0↓)
name PR 7ee63ee (ns) base 17f843a (ns) ratio (PR/base)
vortex_q00/duckdb:vortex-file-compressed 10268777 10602435 0.97
vortex_q01/duckdb:vortex-file-compressed 6329678 6559583 0.96
duckdb / parquet (0.991x ➖, 0↑ 0↓)
name PR 7ee63ee (ns) base 17f843a (ns) ratio (PR/base)
vortex_q00/duckdb:parquet 23462415 23596214 0.99
vortex_q01/duckdb:parquet 9428586 9543018 0.99

No file size changes detected.

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 81.80%. Comparing base (17f843a) to head (7ee63ee).

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