Egutierrez
108 lines
3.9 KiB
Markdown
108 lines
3.9 KiB
Markdown
---
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name: data_table_bench
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lang: cpp
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domain: tools
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version: 0.1.0
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description: "Headless 10M-row performance gate for data_table::render() (issue 0133). Mide fps_p50/fps_p1/mem/cpu en 4 escenarios: scroll lineal, filter LIKE, sort numerico y color rule."
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tags: [imgui, bench, headless, data-table, perf]
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uses_functions:
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- data_table_cpp_viz
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uses_types: []
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framework: "imgui"
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entry_point: "main.cpp"
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dir_path: "apps/data_table_bench"
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repo_url: "https://gitea-dgg044oo04woo4ggcsws4gk0.organic-machine.com/dataforge/data_table_bench"
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icon:
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phosphor: "gauge"
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accent: "#22d3ee"
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e2e_checks:
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- id: build
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cmd: "cd cpp/build/linux && cmake --build . --target data_table_bench -j 4"
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timeout_s: 300
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- id: smoke_100k
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cmd: "cd apps/data_table_bench && xvfb-run -a -s \"-screen 0 1920x1080x24\" env LIBGL_ALWAYS_SOFTWARE=1 GALLIUM_DRIVER=llvmpipe ../../cpp/build/linux/apps/data_table_bench/data_table_bench --rows 100000 --duration 5 --no-db"
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timeout_s: 120
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expect_stdout_contains: "\"overall_pass\":"
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severity: warning
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---
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# data_table_bench
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Headless benchmark app para el modulo `data_table` (issue 0133). Gate de performance entre cada cambio del refactor 10M-row.
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## Uso
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```bash
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# CI smoke (rapido, 100k filas, 5s por escenario)
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cd apps/data_table_bench
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xvfb-run -a -s "-screen 0 1920x1080x24" \
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env LIBGL_ALWAYS_SOFTWARE=1 GALLIUM_DRIVER=llvmpipe \
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../../cpp/build/linux/apps/data_table_bench/data_table_bench \
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--rows 100000 --duration 5 --no-db
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# Full bench (10M filas, 30s por escenario)
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xvfb-run -a -s "-screen 0 1920x1080x24" \
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env LIBGL_ALWAYS_SOFTWARE=1 GALLIUM_DRIVER=llvmpipe \
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../../cpp/build/linux/apps/data_table_bench/data_table_bench \
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--rows 10000000 --duration 30
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# Con persistencia SQLite
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./data_table_bench --rows 10000000 --duration 30 --db operations.db --sha $(git rev-parse HEAD)
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```
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## Output ejemplo
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```json
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{
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"rows": 100000,
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"fps_threshold": 60.0,
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"scenarios": [
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{ "scenario": "linear_scroll", "fps_p50": 320.5, "fps_p1": 125.3, "mem_rss_mb": 450.2, "cpu_pct": 85.1, "duration_s": 5.0, "pass": true },
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{ "scenario": "filter_like", "fps_p50": 210.1, "fps_p1": 95.2, "mem_rss_mb": 450.5, "cpu_pct": 92.3, "duration_s": 5.0, "pass": true },
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{ "scenario": "sort_numeric", "fps_p50": 180.3, "fps_p1": 70.1, "mem_rss_mb": 451.0, "cpu_pct": 88.7, "duration_s": 5.0, "pass": true },
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{ "scenario": "color_rule", "fps_p50": 290.7, "fps_p1": 98.4, "mem_rss_mb": 451.2, "cpu_pct": 86.2, "duration_s": 5.0, "pass": true }
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],
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"overall_pass": true
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}
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```
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## Assertion DoD
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`fps_p1 >= 60` en cada escenario con 10M filas a 30s.
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## Escenarios
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| ID | Patron | Lo que estresan |
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|---|---|---|
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| `linear_scroll` | Avanza el scroll 1 fila/frame | Clipper virtual scroll en O(1) |
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| `filter_like` | Contains("foo") sobre col name | Scan de 10M strings por frame |
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| `sort_numeric` | Sort score DESC | Reordenacion del stage pipeline |
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| `color_rule` | NumericRange gradient en col value | Pintado condicional de 10M celdas |
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## Build
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```bash
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cd cpp/build/linux
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cmake --build . --target data_table_bench -j 4
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```
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## Dataset
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Sintetico y determinista (mismo seed => mismas filas). 20 columnas:
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- Cols 0-4: int (id, count, score, rank, flags)
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- Cols 5-9: float (ratio, pct, value, rate, weight)
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- Cols 10-14: string (name, status, category, tag, label)
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- Cols 15-19: timestamp como int string (created_at, updated_at, closed_at, due_at, ts)
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## Gotchas
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- Requiere xvfb + llvmpipe en CI Linux (sin GPU real). Instalar: `sudo apt-get install xvfb libgles2-mesa`.
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- El seed de 10M filas puede tardar 10-15s antes de arrancar el GL context.
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- `vsync = false` en AppConfig para que el bench no este limitado por el refresh rate del display virtual.
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- La ventana se oculta con `glfwHideWindow()` en el primer frame — nunca aparece en pantalla.
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- Windows: sin cross-compile habilitado el bench es solo Linux. El DoD del issue 0133 es Linux.
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## Capability growth log
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- v0.1.0 (2026-05-22) — baseline para issue 0133.
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