Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
-- database: presto_tpcds; groups: tpcds; requires: io.trino.tempto.fulfillment.table.hive.tpcds.ImmutableTpcdsTablesRequirements
WITH
cross_items AS (
SELECT "i_item_sk" "ss_item_sk"
FROM
item
, (
SELECT
"iss"."i_brand_id" "brand_id"
, "iss"."i_class_id" "class_id"
, "iss"."i_category_id" "category_id"
FROM
store_sales
, item iss
, date_dim d1
WHERE ("ss_item_sk" = "iss"."i_item_sk")
AND ("ss_sold_date_sk" = "d1"."d_date_sk")
AND ("d1"."d_year" BETWEEN 1999 AND (1999 + 2))
INTERSECT SELECT
"ics"."i_brand_id"
, "ics"."i_class_id"
, "ics"."i_category_id"
FROM
catalog_sales
, item ics
, date_dim d2
WHERE ("cs_item_sk" = "ics"."i_item_sk")
AND ("cs_sold_date_sk" = "d2"."d_date_sk")
AND ("d2"."d_year" BETWEEN 1999 AND (1999 + 2))
INTERSECT SELECT
"iws"."i_brand_id"
, "iws"."i_class_id"
, "iws"."i_category_id"
FROM
web_sales
, item iws
, date_dim d3
WHERE ("ws_item_sk" = "iws"."i_item_sk")
AND ("ws_sold_date_sk" = "d3"."d_date_sk")
AND ("d3"."d_year" BETWEEN 1999 AND (1999 + 2))
)
WHERE ("i_brand_id" = "brand_id")
AND ("i_class_id" = "class_id")
AND ("i_category_id" = "category_id")
)
, avg_sales AS (
SELECT "avg"(("quantity" * "list_price")) "average_sales"
FROM
(
SELECT
"ss_quantity" "quantity"
, "ss_list_price" "list_price"
FROM
store_sales
, date_dim
WHERE ("ss_sold_date_sk" = "d_date_sk")
AND ("d_year" BETWEEN 1999 AND (1999 + 2))
UNION ALL SELECT
"cs_quantity" "quantity"
, "cs_list_price" "list_price"
FROM
catalog_sales
, date_dim
WHERE ("cs_sold_date_sk" = "d_date_sk")
AND ("d_year" BETWEEN 1999 AND (1999 + 2))
UNION ALL SELECT
"ws_quantity" "quantity"
, "ws_list_price" "list_price"
FROM
web_sales
, date_dim
WHERE ("ws_sold_date_sk" = "d_date_sk")
AND ("d_year" BETWEEN 1999 AND (1999 + 2))
) x
)
SELECT
"channel"
, "i_brand_id"
, "i_class_id"
, "i_category_id"
, "sum"("sales")
, "sum"("number_sales")
FROM
(
SELECT
'store' "channel"
, "i_brand_id"
, "i_class_id"
, "i_category_id"
, "sum"(("ss_quantity" * "ss_list_price")) "sales"
, "count"(*) "number_sales"
FROM
store_sales
, item
, date_dim
WHERE ("ss_item_sk" IN (
SELECT "ss_item_sk"
FROM
cross_items
))
AND ("ss_item_sk" = "i_item_sk")
AND ("ss_sold_date_sk" = "d_date_sk")
AND ("d_year" = (1999 + 2))
AND ("d_moy" = 11)
GROUP BY "i_brand_id", "i_class_id", "i_category_id"
HAVING ("sum"(("ss_quantity" * "ss_list_price")) > (
SELECT "average_sales"
FROM
avg_sales
))
UNION ALL SELECT
'catalog' "channel"
, "i_brand_id"
, "i_class_id"
, "i_category_id"
, "sum"(("cs_quantity" * "cs_list_price")) "sales"
, "count"(*) "number_sales"
FROM
catalog_sales
, item
, date_dim
WHERE ("cs_item_sk" IN (
SELECT "ss_item_sk"
FROM
cross_items
))
AND ("cs_item_sk" = "i_item_sk")
AND ("cs_sold_date_sk" = "d_date_sk")
AND ("d_year" = (1999 + 2))
AND ("d_moy" = 11)
GROUP BY "i_brand_id", "i_class_id", "i_category_id"
HAVING ("sum"(("cs_quantity" * "cs_list_price")) > (
SELECT "average_sales"
FROM
avg_sales
))
UNION ALL SELECT
'web' "channel"
, "i_brand_id"
, "i_class_id"
, "i_category_id"
, "sum"(("ws_quantity" * "ws_list_price")) "sales"
, "count"(*) "number_sales"
FROM
web_sales
, item
, date_dim
WHERE ("ws_item_sk" IN (
SELECT "ss_item_sk"
FROM
cross_items
))
AND ("ws_item_sk" = "i_item_sk")
AND ("ws_sold_date_sk" = "d_date_sk")
AND ("d_year" = (1999 + 2))
AND ("d_moy" = 11)
GROUP BY "i_brand_id", "i_class_id", "i_category_id"
HAVING ("sum"(("ws_quantity" * "ws_list_price")) > (
SELECT "average_sales"
FROM
avg_sales
))
) y
GROUP BY ROLLUP (channel, i_brand_id, i_class_id, i_category_id)
ORDER BY "channel" ASC, "i_brand_id" ASC, "i_class_id" ASC, "i_category_id" ASC
LIMIT 100