#2
⏱️ 502.35 мс
select count(*) as "aggregate" from "master_products" where "barcode" is not null and "category_slug" = ? and "subcategory_slug" = ? and (exists (select 1 from "store_prices" where "store_prices"."master_product_id" = "master_products"."id" and "store_prices"."store_id" in (?, ?)) or exists (select 1 from "deals" where "deals"."master_product_id" = "master_products"."id" and "deals"."is_active" = ? and "deals"."store_id" in (?, ?)))
Bindings:
["meat","poultry",5,187,true,5,187]
#3
⏱️ 137.03 мс
select * from "master_products" where "barcode" is not null and "category_slug" = ? and "subcategory_slug" = ? and (exists (select 1 from "store_prices" where "store_prices"."master_product_id" = "master_products"."id" and "store_prices"."store_id" in (?, ?)) or exists (select 1 from "deals" where "deals"."master_product_id" = "master_products"."id" and "deals"."is_active" = ? and "deals"."store_id" in (?, ?))) order by CASE WHEN master_products.image_url IS NOT NULL AND master_products.image_url != '' THEN 0 ELSE 1 END, "master_products"."id" desc limit 32 offset 0
Bindings:
["meat","poultry",5,187,true,5,187]
#4
⏱️ 37.38 мс
select * from "deals" where "master_product_id" in (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) and "is_active" = ? and "store_id" in (?, ?)
Bindings:
[123529,107885,105322,105321,104603,104596,104319,100998,100896,100849,100848,100845,100844,100843,100777,100584,100571,100561,99416,99266,98564,98563,98515,98350,98349,97792,97682,97666,97435,97434,97092,96479,true,5,187]
#6
⏱️ 13.78 мс
select * from "store_prices" where "master_product_id" in (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) and "price" > ? and "store_id" in (?, ?)
Bindings:
[123529,107885,105322,105321,104603,104596,104319,100998,100896,100849,100848,100845,100844,100843,100777,100584,100571,100561,99416,99266,98564,98563,98515,98350,98349,97792,97682,97666,97435,97434,97092,96479,0,5,187]
#9
⏱️ 147.52 мс
select store_id, count(*) as total from "deals" where "store_id" in (?, ?) and "is_active" = ? and ("expires_at" is null or "expires_at" >= ?) group by "store_id"
Bindings:
[5,187,true,"2026-10-22T19:38:40.760376Z"]