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perf(site-finder): pushdown obj_pricing CTE to nearby competitors in analyze (#70, #307) 
obj_pricing (OBJ-3 #1332) агрегировал objective_lots (2.1ГБ) по всем ~286
маппингам через GROUP BY domrf_obj_id, но LEFT JOIN потреблял только ~43
ближних (3км) obj_id — далёкие медианы считались и выбрасывались.

Добавлен nearby_obj CTE (3км-множество считается раз), obj_pricing scoped
через WHERE cm.domrf_obj_id IN (SELECT obj_id FROM nearby_obj), финальный
SELECT идёт FROM nearby_obj → scope == потребляемое множество. Планировщик
теперь bitmap index scan вместо full parallel seq scan.

Прод EXPLAIN (центр ЕКБ): ~700мс→~290мс, objective_lots buffer reads
212658→20561 (~10x). Байт-идентично: per-obj_id агрегаты независимы,
0 расхождений на 43 ближних группах. Цена/fallback не тронуты (scope-only).
Регрешн-гард против отката к full-table агрегации.

Refs #70
2026-06-14 21:48:47 +05:00
..
v1 perf(site-finder): pushdown obj_pricing CTE to nearby competitors in analyze (#70, #307) 2026-06-14 21:48:47 +05:00
__init__.py init 2026-04-25 13:45:19 +03:00