#1
⏱️ 158.83 мс
select "id" from "stores" where "is_active" = ? and "city_slug" = ?
Bindings:
[true,"ramat-gan"]
#2
⏱️ 204.74 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:
["household","laundry",1109,760,340,384,284,296,1146,557,608,1283,1287,1288,1300,1339,1,326,367,30,41,53,54,76,108,235,264,301,539,555,580,679,1398,true,1109,760,340,384,284,296,1146,557,608,1283,1287,1288,1300,1339,1,326,367,30,41,53,54,76,108,235,264,301,539,555,580,679,1398]
#3
⏱️ 127.49 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:
["household","laundry",1109,760,340,384,284,296,1146,557,608,1283,1287,1288,1300,1339,1,326,367,30,41,53,54,76,108,235,264,301,539,555,580,679,1398,true,1109,760,340,384,284,296,1146,557,608,1283,1287,1288,1300,1339,1,326,367,30,41,53,54,76,108,235,264,301,539,555,580,679,1398]
#4
⏱️ 182.78 мс
select * from "deals" where "master_product_id" in (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) and "is_active" = ? and "store_id" in (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Bindings:
[531939,398488,349271,277633,271123,271017,252891,251818,251817,251429,251422,244630,243003,195704,169155,169154,164500,163836,163835,161618,158278,150162,150161,131540,131170,129823,128631,127675,127591,127562,127510,127468,true,1109,760,340,384,284,296,1146,557,608,1283,1287,1288,1300,1339,1,326,367,30,41,53,54,76,108,235,264,301,539,555,580,679,1398]
#5
⏱️ 8.09 мс
select * from "stores" where "stores"."id" in (1, 30, 76, 108, 235, 264, 284, 296, 301, 326, 340, 367, 384, 539)
#6
⏱️ 37.32 мс
select * from "store_prices" where "master_product_id" in (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) and "price" > ? and "store_id" in (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Bindings:
[531939,398488,349271,277633,271123,271017,252891,251818,251817,251429,251422,244630,243003,195704,169155,169154,164500,163836,163835,161618,158278,150162,150161,131540,131170,129823,128631,127675,127591,127562,127510,127468,0,1109,760,340,384,284,296,1146,557,608,1283,1287,1288,1300,1339,1,326,367,30,41,53,54,76,108,235,264,301,539,555,580,679,1398]
#7
⏱️ 15.2 мс
select * from "stores" where "stores"."id" in (1, 30, 76, 108, 235, 264, 284, 296, 301, 326, 340, 367, 384, 555, 557, 580, 608, 760)
#8
⏱️ 10.58 мс
select * from "locations" where "city_slug" = ? limit 1
Bindings:
["ramat-gan"]
#9
⏱️ 10.66 мс
select * from "locations" where "is_popular" = ? order by "sort_order" asc
Bindings:
[true]
#10
⏱️ 13.93 мс
select * from "locations" where "is_active" = ? order by "is_popular" desc, "sort_order" asc
Bindings:
[true]