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8eb19f7534
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Phase 34: Scaling benchmarks (1k/10k/100k rows; 5/20/50 cols) (2026.05.05.8)
Adds tests/benchmarks/test_scaling_perf.py with parametrized
benchmarks across row-count, column-width, and type-mix axes.
Caught the NFETCH-loop bug (Phase 35) immediately on first run.
Headline numbers:
Bulk insert (executemany in transaction):
1k rows: 23 ms (23 us/row)
10k rows: 161 ms (16 us/row)
100k rows: 1487 ms (15 us/row, ~67k rows/sec sustained)
SELECT (linear scaling, near-constant per-row):
1k rows: 2.7 ms (2.7 us/row)
10k rows: 25.8 ms (2.6 us/row)
100k rows: 271 ms (2.7 us/row)
Wide-row SELECT (1k rows x N cols):
5 cols: 2.4 ms
20 cols: 5.1 ms
50 cols: 10.1 ms
Type-mix SELECT (INT + VARCHAR + DECIMAL + DATE + FLOAT + SMALLINT):
1000 rows: 4.7 ms (4.7 us/row, ~1.7x baseline)
Per-row codec cost is essentially constant from 1k to 100k rows
(2.7 us/row), proving parse_tuple_payload optimizations (Phases
23-25) hold at 100x scale with no GC-pause amplification or
memory-pressure degradation.
Per-row insert cost actually DECREASES with scale (23us at 1k to
15us at 100k) - Phase 33's pipelining amortizes prepare/release
overhead better at larger N.
10 new parametrized benchmarks. Total: 77 unit + 249 integration +
43 benchmark = 369 tests.
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2026-05-05 12:38:07 -06:00 |
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