--------------------------------------
-- TPC-DS 1
--------------------------------------
# execute: true
WITH customer_total_return
AS (SELECT sr_customer_sk AS ctr_customer_sk,
sr_store_sk AS ctr_store_sk,
Sum(sr_return_amt) AS ctr_total_return
FROM store_returns,
date_dim
WHERE sr_returned_date_sk = d_date_sk
AND d_year = 2001
GROUP BY sr_customer_sk,
sr_store_sk)
SELECT c_customer_id
FROM customer_total_return ctr1,
store,
customer
WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2
FROM customer_total_return ctr2
WHERE ctr1.ctr_store_sk = ctr2.ctr_store_sk)
AND s_store_sk = ctr1.ctr_store_sk
AND s_state = 'TN'
AND ctr1.ctr_customer_sk = c_customer_sk
ORDER BY c_customer_id
LIMIT 100;
WITH "customer_total_return" AS (
SELECT
"store_returns"."sr_customer_sk" AS "ctr_customer_sk",
"store_returns"."sr_store_sk" AS "ctr_store_sk",
SUM("store_returns"."sr_return_amt") AS "ctr_total_return"
FROM "store_returns" AS "store_returns"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_returns"."sr_returned_date_sk"
AND "date_dim"."d_year" = 2001
GROUP BY
"store_returns"."sr_customer_sk",
"store_returns"."sr_store_sk"
), "_u_0" AS (
SELECT
AVG("ctr2"."ctr_total_return") * 1.2 AS "_col_0",
"ctr2"."ctr_store_sk" AS "_u_1"
FROM "customer_total_return" AS "ctr2"
GROUP BY
"ctr2"."ctr_store_sk"
)
SELECT
"customer"."c_customer_id" AS "c_customer_id"
FROM "customer_total_return" AS "ctr1"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "ctr1"."ctr_store_sk"
JOIN "customer" AS "customer"
ON "ctr1"."ctr_customer_sk" = "customer"."c_customer_sk"
JOIN "store" AS "store"
ON "ctr1"."ctr_store_sk" = "store"."s_store_sk" AND "store"."s_state" = 'TN'
WHERE
"_u_0"."_col_0" < "ctr1"."ctr_total_return"
ORDER BY
"c_customer_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 2
--------------------------------------
# execute: true
WITH wscs
AS (SELECT sold_date_sk,
sales_price
FROM (SELECT ws_sold_date_sk sold_date_sk,
ws_ext_sales_price sales_price
FROM web_sales)
UNION ALL
(SELECT cs_sold_date_sk sold_date_sk,
cs_ext_sales_price sales_price
FROM catalog_sales)),
wswscs
AS (SELECT d_week_seq,
Sum(CASE
WHEN ( d_day_name = 'Sunday' ) THEN sales_price
ELSE NULL
END) sun_sales,
Sum(CASE
WHEN ( d_day_name = 'Monday' ) THEN sales_price
ELSE NULL
END) mon_sales,
Sum(CASE
WHEN ( d_day_name = 'Tuesday' ) THEN sales_price
ELSE NULL
END) tue_sales,
Sum(CASE
WHEN ( d_day_name = 'Wednesday' ) THEN sales_price
ELSE NULL
END) wed_sales,
Sum(CASE
WHEN ( d_day_name = 'Thursday' ) THEN sales_price
ELSE NULL
END) thu_sales,
Sum(CASE
WHEN ( d_day_name = 'Friday' ) THEN sales_price
ELSE NULL
END) fri_sales,
Sum(CASE
WHEN ( d_day_name = 'Saturday' ) THEN sales_price
ELSE NULL
END) sat_sales
FROM wscs,
date_dim
WHERE d_date_sk = sold_date_sk
GROUP BY d_week_seq)
SELECT d_week_seq1,
Round(sun_sales1 / sun_sales2, 2) AS "_col_1",
Round(mon_sales1 / mon_sales2, 2) AS "_col_2",
Round(tue_sales1 / tue_sales2, 2) AS "_col_3",
Round(wed_sales1 / wed_sales2, 2) AS "_col_4",
Round(thu_sales1 / thu_sales2, 2) AS "_col_5",
Round(fri_sales1 / fri_sales2, 2) AS "_col_6",
Round(sat_sales1 / sat_sales2, 2) AS "_col_7"
FROM (SELECT wswscs.d_week_seq d_week_seq1,
sun_sales sun_sales1,
mon_sales mon_sales1,
tue_sales tue_sales1,
wed_sales wed_sales1,
thu_sales thu_sales1,
fri_sales fri_sales1,
sat_sales sat_sales1
FROM wswscs,
date_dim
WHERE date_dim.d_week_seq = wswscs.d_week_seq
AND d_year = 1998) y,
(SELECT wswscs.d_week_seq d_week_seq2,
sun_sales sun_sales2,
mon_sales mon_sales2,
tue_sales tue_sales2,
wed_sales wed_sales2,
thu_sales thu_sales2,
fri_sales fri_sales2,
sat_sales sat_sales2
FROM wswscs,
date_dim
WHERE date_dim.d_week_seq = wswscs.d_week_seq
AND d_year = 1998 + 1) z
WHERE d_week_seq1 = d_week_seq2 - 53
ORDER BY d_week_seq1;
WITH "wscs" AS (
SELECT
"web_sales"."ws_sold_date_sk" AS "sold_date_sk",
"web_sales"."ws_ext_sales_price" AS "sales_price"
FROM "web_sales" AS "web_sales"
UNION ALL
(
SELECT
"catalog_sales"."cs_sold_date_sk" AS "sold_date_sk",
"catalog_sales"."cs_ext_sales_price" AS "sales_price"
FROM "catalog_sales" AS "catalog_sales"
)
), "wswscs" AS (
SELECT
"date_dim"."d_week_seq" AS "d_week_seq",
SUM(
CASE WHEN "date_dim"."d_day_name" = 'Sunday' THEN "wscs"."sales_price" ELSE NULL END
) AS "sun_sales",
SUM(
CASE WHEN "date_dim"."d_day_name" = 'Monday' THEN "wscs"."sales_price" ELSE NULL END
) AS "mon_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Tuesday'
THEN "wscs"."sales_price"
ELSE NULL
END
) AS "tue_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Wednesday'
THEN "wscs"."sales_price"
ELSE NULL
END
) AS "wed_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Thursday'
THEN "wscs"."sales_price"
ELSE NULL
END
) AS "thu_sales",
SUM(
CASE WHEN "date_dim"."d_day_name" = 'Friday' THEN "wscs"."sales_price" ELSE NULL END
) AS "fri_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Saturday'
THEN "wscs"."sales_price"
ELSE NULL
END
) AS "sat_sales"
FROM "wscs" AS "wscs"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "wscs"."sold_date_sk"
GROUP BY
"date_dim"."d_week_seq"
)
SELECT
"wswscs"."d_week_seq" AS "d_week_seq1",
ROUND("wswscs"."sun_sales" / "wswscs_2"."sun_sales", 2) AS "_col_1",
ROUND("wswscs"."mon_sales" / "wswscs_2"."mon_sales", 2) AS "_col_2",
ROUND("wswscs"."tue_sales" / "wswscs_2"."tue_sales", 2) AS "_col_3",
ROUND("wswscs"."wed_sales" / "wswscs_2"."wed_sales", 2) AS "_col_4",
ROUND("wswscs"."thu_sales" / "wswscs_2"."thu_sales", 2) AS "_col_5",
ROUND("wswscs"."fri_sales" / "wswscs_2"."fri_sales", 2) AS "_col_6",
ROUND("wswscs"."sat_sales" / "wswscs_2"."sat_sales", 2) AS "_col_7"
FROM "wswscs" AS "wswscs"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_week_seq" = "wswscs"."d_week_seq" AND "date_dim"."d_year" = 1998
JOIN "wswscs" AS "wswscs_2"
ON "wswscs"."d_week_seq" = "wswscs_2"."d_week_seq" - 53
JOIN "date_dim" AS "date_dim_2"
ON "date_dim_2"."d_week_seq" = "wswscs_2"."d_week_seq"
AND "date_dim_2"."d_year" = 1999
ORDER BY
"d_week_seq1";
--------------------------------------
-- TPC-DS 3
--------------------------------------
# execute: true
SELECT dt.d_year,
item.i_brand_id brand_id,
item.i_brand brand,
Sum(ss_ext_discount_amt) sum_agg
FROM date_dim dt,
store_sales,
item
WHERE dt.d_date_sk = store_sales.ss_sold_date_sk
AND store_sales.ss_item_sk = item.i_item_sk
AND item.i_manufact_id = 427
AND dt.d_moy = 11
GROUP BY dt.d_year,
item.i_brand,
item.i_brand_id
ORDER BY dt.d_year,
sum_agg DESC,
brand_id
LIMIT 100;
SELECT
"dt"."d_year" AS "d_year",
"item"."i_brand_id" AS "brand_id",
"item"."i_brand" AS "brand",
SUM("store_sales"."ss_ext_discount_amt") AS "sum_agg"
FROM "date_dim" AS "dt"
JOIN "store_sales" AS "store_sales"
ON "dt"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk" AND "item"."i_manufact_id" = 427
WHERE
"dt"."d_moy" = 11
GROUP BY
"dt"."d_year",
"item"."i_brand",
"item"."i_brand_id"
ORDER BY
"d_year",
"sum_agg" DESC,
"brand_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 4
--------------------------------------
# execute: true
WITH year_total
AS (SELECT c_customer_id customer_id,
c_first_name customer_first_name,
c_last_name customer_last_name,
c_preferred_cust_flag customer_preferred_cust_flag
,
c_birth_country
customer_birth_country,
c_login customer_login,
c_email_address customer_email_address,
d_year dyear,
Sum(( ( ss_ext_list_price - ss_ext_wholesale_cost
- ss_ext_discount_amt
)
+
ss_ext_sales_price ) / 2) year_total,
's' sale_type
FROM customer,
store_sales,
date_dim
WHERE c_customer_sk = ss_customer_sk
AND ss_sold_date_sk = d_date_sk
GROUP BY c_customer_id,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_country,
c_login,
c_email_address,
d_year
UNION ALL
SELECT c_customer_id customer_id,
c_first_name customer_first_name,
c_last_name customer_last_name,
c_preferred_cust_flag
customer_preferred_cust_flag,
c_birth_country customer_birth_country
,
c_login
customer_login,
c_email_address customer_email_address
,
d_year dyear
,
Sum(( ( ( cs_ext_list_price
- cs_ext_wholesale_cost
- cs_ext_discount_amt
) +
cs_ext_sales_price ) / 2 )) year_total,
'c' sale_type
FROM customer,
catalog_sales,
date_dim
WHERE c_customer_sk = cs_bill_customer_sk
AND cs_sold_date_sk = d_date_sk
GROUP BY c_customer_id,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_country,
c_login,
c_email_address,
d_year
UNION ALL
SELECT c_customer_id customer_id,
c_first_name customer_first_name,
c_last_name customer_last_name,
c_preferred_cust_flag
customer_preferred_cust_flag,
c_birth_country customer_birth_country
,
c_login
customer_login,
c_email_address customer_email_address
,
d_year dyear
,
Sum(( ( ( ws_ext_list_price
- ws_ext_wholesale_cost
- ws_ext_discount_amt
) +
ws_ext_sales_price ) / 2 )) year_total,
'w' sale_type
FROM customer,
web_sales,
date_dim
WHERE c_customer_sk = ws_bill_customer_sk
AND ws_sold_date_sk = d_date_sk
GROUP BY c_customer_id,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_country,
c_login,
c_email_address,
d_year)
SELECT t_s_secyear.customer_id,
t_s_secyear.customer_first_name,
t_s_secyear.customer_last_name,
t_s_secyear.customer_preferred_cust_flag
FROM year_total t_s_firstyear,
year_total t_s_secyear,
year_total t_c_firstyear,
year_total t_c_secyear,
year_total t_w_firstyear,
year_total t_w_secyear
WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id
AND t_s_firstyear.customer_id = t_c_secyear.customer_id
AND t_s_firstyear.customer_id = t_c_firstyear.customer_id
AND t_s_firstyear.customer_id = t_w_firstyear.customer_id
AND t_s_firstyear.customer_id = t_w_secyear.customer_id
AND t_s_firstyear.sale_type = 's'
AND t_c_firstyear.sale_type = 'c'
AND t_w_firstyear.sale_type = 'w'
AND t_s_secyear.sale_type = 's'
AND t_c_secyear.sale_type = 'c'
AND t_w_secyear.sale_type = 'w'
AND t_s_firstyear.dyear = 2001
AND t_s_secyear.dyear = 2001 + 1
AND t_c_firstyear.dyear = 2001
AND t_c_secyear.dyear = 2001 + 1
AND t_w_firstyear.dyear = 2001
AND t_w_secyear.dyear = 2001 + 1
AND t_s_firstyear.year_total > 0
AND t_c_firstyear.year_total > 0
AND t_w_firstyear.year_total > 0
AND CASE
WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total /
t_c_firstyear.year_total
ELSE NULL
END > CASE
WHEN t_s_firstyear.year_total > 0 THEN
t_s_secyear.year_total /
t_s_firstyear.year_total
ELSE NULL
END
AND CASE
WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total /
t_c_firstyear.year_total
ELSE NULL
END > CASE
WHEN t_w_firstyear.year_total > 0 THEN
t_w_secyear.year_total /
t_w_firstyear.year_total
ELSE NULL
END
ORDER BY t_s_secyear.customer_id,
t_s_secyear.customer_first_name,
t_s_secyear.customer_last_name,
t_s_secyear.customer_preferred_cust_flag
LIMIT 100;
WITH "customer_2" AS (
SELECT
"customer"."c_customer_sk" AS "c_customer_sk",
"customer"."c_customer_id" AS "c_customer_id",
"customer"."c_first_name" AS "c_first_name",
"customer"."c_last_name" AS "c_last_name",
"customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag",
"customer"."c_birth_country" AS "c_birth_country",
"customer"."c_login" AS "c_login",
"customer"."c_email_address" AS "c_email_address"
FROM "customer" AS "customer"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year"
FROM "date_dim" AS "date_dim"
), "year_total" AS (
SELECT
"customer"."c_customer_id" AS "customer_id",
"customer"."c_first_name" AS "customer_first_name",
"customer"."c_last_name" AS "customer_last_name",
"customer"."c_preferred_cust_flag" AS "customer_preferred_cust_flag",
"date_dim"."d_year" AS "dyear",
SUM(
(
(
"store_sales"."ss_ext_list_price" - "store_sales"."ss_ext_wholesale_cost" - "store_sales"."ss_ext_discount_amt"
) + "store_sales"."ss_ext_sales_price"
) / 2
) AS "year_total",
's' AS "sale_type"
FROM "customer_2" AS "customer"
JOIN "store_sales" AS "store_sales"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"customer"."c_customer_id",
"customer"."c_first_name",
"customer"."c_last_name",
"customer"."c_preferred_cust_flag",
"customer"."c_birth_country",
"customer"."c_login",
"customer"."c_email_address",
"date_dim"."d_year"
UNION ALL
SELECT
"customer"."c_customer_id" AS "customer_id",
"customer"."c_first_name" AS "customer_first_name",
"customer"."c_last_name" AS "customer_last_name",
"customer"."c_preferred_cust_flag" AS "customer_preferred_cust_flag",
"date_dim"."d_year" AS "dyear",
SUM(
(
(
(
"catalog_sales"."cs_ext_list_price" - "catalog_sales"."cs_ext_wholesale_cost" - "catalog_sales"."cs_ext_discount_amt"
) + "catalog_sales"."cs_ext_sales_price"
) / 2
)
) AS "year_total",
'c' AS "sale_type"
FROM "customer_2" AS "customer"
JOIN "catalog_sales" AS "catalog_sales"
ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
GROUP BY
"customer"."c_customer_id",
"customer"."c_first_name",
"customer"."c_last_name",
"customer"."c_preferred_cust_flag",
"customer"."c_birth_country",
"customer"."c_login",
"customer"."c_email_address",
"date_dim"."d_year"
UNION ALL
SELECT
"customer"."c_customer_id" AS "customer_id",
"customer"."c_first_name" AS "customer_first_name",
"customer"."c_last_name" AS "customer_last_name",
"customer"."c_preferred_cust_flag" AS "customer_preferred_cust_flag",
"date_dim"."d_year" AS "dyear",
SUM(
(
(
(
"web_sales"."ws_ext_list_price" - "web_sales"."ws_ext_wholesale_cost" - "web_sales"."ws_ext_discount_amt"
) + "web_sales"."ws_ext_sales_price"
) / 2
)
) AS "year_total",
'w' AS "sale_type"
FROM "customer_2" AS "customer"
JOIN "web_sales" AS "web_sales"
ON "customer"."c_customer_sk" = "web_sales"."ws_bill_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
GROUP BY
"customer"."c_customer_id",
"customer"."c_first_name",
"customer"."c_last_name",
"customer"."c_preferred_cust_flag",
"customer"."c_birth_country",
"customer"."c_login",
"customer"."c_email_address",
"date_dim"."d_year"
)
SELECT
"t_s_secyear"."customer_id" AS "customer_id",
"t_s_secyear"."customer_first_name" AS "customer_first_name",
"t_s_secyear"."customer_last_name" AS "customer_last_name",
"t_s_secyear"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag"
FROM "year_total" AS "t_s_firstyear"
JOIN "year_total" AS "t_c_firstyear"
ON "t_c_firstyear"."customer_id" = "t_s_firstyear"."customer_id"
AND "t_c_firstyear"."dyear" = 2001
AND "t_c_firstyear"."sale_type" = 'c'
AND "t_c_firstyear"."year_total" > 0
JOIN "year_total" AS "t_s_secyear"
ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id"
AND "t_s_secyear"."dyear" = 2002
AND "t_s_secyear"."sale_type" = 's'
JOIN "year_total" AS "t_w_firstyear"
ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id"
AND "t_w_firstyear"."dyear" = 2001
AND "t_w_firstyear"."sale_type" = 'w'
AND "t_w_firstyear"."year_total" > 0
JOIN "year_total" AS "t_c_secyear"
ON "t_c_secyear"."customer_id" = "t_s_firstyear"."customer_id"
AND "t_c_secyear"."dyear" = 2002
AND "t_c_secyear"."sale_type" = 'c'
AND CASE
WHEN "t_c_firstyear"."year_total" > 0
THEN "t_c_secyear"."year_total" / "t_c_firstyear"."year_total"
ELSE NULL
END > CASE
WHEN "t_s_firstyear"."year_total" > 0
THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total"
ELSE NULL
END
JOIN "year_total" AS "t_w_secyear"
ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id"
AND "t_w_secyear"."dyear" = 2002
AND "t_w_secyear"."sale_type" = 'w'
AND CASE
WHEN "t_c_firstyear"."year_total" > 0
THEN "t_c_secyear"."year_total" / "t_c_firstyear"."year_total"
ELSE NULL
END > CASE
WHEN "t_w_firstyear"."year_total" > 0
THEN "t_w_secyear"."year_total" / "t_w_firstyear"."year_total"
ELSE NULL
END
WHERE
"t_s_firstyear"."dyear" = 2001
AND "t_s_firstyear"."sale_type" = 's'
AND "t_s_firstyear"."year_total" > 0
ORDER BY
"t_s_secyear"."customer_id",
"t_s_secyear"."customer_first_name",
"t_s_secyear"."customer_last_name",
"t_s_secyear"."customer_preferred_cust_flag"
LIMIT 100;
--------------------------------------
-- TPC-DS 5
--------------------------------------
WITH ssr AS
(
SELECT s_store_id,
Sum(sales_price) AS sales,
Sum(profit) AS profit,
Sum(return_amt) AS returns1,
Sum(net_loss) AS profit_loss
FROM (
SELECT ss_store_sk AS store_sk,
ss_sold_date_sk AS date_sk,
ss_ext_sales_price AS sales_price,
ss_net_profit AS profit,
Cast(0 AS DECIMAL(7,2)) AS return_amt,
Cast(0 AS DECIMAL(7,2)) AS net_loss
FROM store_sales
UNION ALL
SELECT sr_store_sk AS store_sk,
sr_returned_date_sk AS date_sk,
Cast(0 AS DECIMAL(7,2)) AS sales_price,
Cast(0 AS DECIMAL(7,2)) AS profit,
sr_return_amt AS return_amt,
sr_net_loss AS net_loss
FROM store_returns ) salesreturns,
date_dim,
store
WHERE date_sk = d_date_sk
AND d_date BETWEEN Cast('2002-08-22' AS DATE) AND (
Cast('2002-08-22' AS DATE) + INTERVAL '14' day)
AND store_sk = s_store_sk
GROUP BY s_store_id) , csr AS
(
SELECT cp_catalog_page_id,
sum(sales_price) AS sales,
sum(profit) AS profit,
sum(return_amt) AS returns1,
sum(net_loss) AS profit_loss
FROM (
SELECT cs_catalog_page_sk AS page_sk,
cs_sold_date_sk AS date_sk,
cs_ext_sales_price AS sales_price,
cs_net_profit AS profit,
cast(0 AS decimal(7,2)) AS return_amt,
cast(0 AS decimal(7,2)) AS net_loss
FROM catalog_sales
UNION ALL
SELECT cr_catalog_page_sk AS page_sk,
cr_returned_date_sk AS date_sk,
cast(0 AS decimal(7,2)) AS sales_price,
cast(0 AS decimal(7,2)) AS profit,
cr_return_amount AS return_amt,
cr_net_loss AS net_loss
FROM catalog_returns ) salesreturns,
date_dim,
catalog_page
WHERE date_sk = d_date_sk
AND d_date BETWEEN cast('2002-08-22' AS date) AND (
cast('2002-08-22' AS date) + INTERVAL '14' day)
AND page_sk = cp_catalog_page_sk
GROUP BY cp_catalog_page_id) , wsr AS
(
SELECT web_site_id,
sum(sales_price) AS sales,
sum(profit) AS profit,
sum(return_amt) AS returns1,
sum(net_loss) AS profit_loss
FROM (
SELECT ws_web_site_sk AS wsr_web_site_sk,
ws_sold_date_sk AS date_sk,
ws_ext_sales_price AS sales_price,
ws_net_profit AS profit,
cast(0 AS decimal(7,2)) AS return_amt,
cast(0 AS decimal(7,2)) AS net_loss
FROM web_sales
UNION ALL
SELECT ws_web_site_sk AS wsr_web_site_sk,
wr_returned_date_sk AS date_sk,
cast(0 AS decimal(7,2)) AS sales_price,
cast(0 AS decimal(7,2)) AS profit,
wr_return_amt AS return_amt,
wr_net_loss AS net_loss
FROM web_returns
LEFT OUTER JOIN web_sales
ON (
wr_item_sk = ws_item_sk
AND wr_order_number = ws_order_number) ) salesreturns,
date_dim,
web_site
WHERE date_sk = d_date_sk
AND d_date BETWEEN cast('2002-08-22' AS date) AND (
cast('2002-08-22' AS date) + INTERVAL '14' day)
AND wsr_web_site_sk = web_site_sk
GROUP BY web_site_id)
SELECT
channel ,
id ,
sum(sales) AS sales ,
sum(returns1) AS returns1 ,
sum(profit) AS profit
FROM (
SELECT 'store channel' AS channel ,
'store'
|| s_store_id AS id ,
sales ,
returns1 ,
(profit - profit_loss) AS profit
FROM ssr
UNION ALL
SELECT 'catalog channel' AS channel ,
'catalog_page'
|| cp_catalog_page_id AS id ,
sales ,
returns1 ,
(profit - profit_loss) AS profit
FROM csr
UNION ALL
SELECT 'web channel' AS channel ,
'web_site'
|| web_site_id AS id ,
sales ,
returns1 ,
(profit - profit_loss) AS profit
FROM wsr ) x
GROUP BY rollup (channel, id)
ORDER BY channel ,
id
LIMIT 100;
WITH "salesreturns" AS (
SELECT
"store_sales"."ss_store_sk" AS "store_sk",
"store_sales"."ss_sold_date_sk" AS "date_sk",
"store_sales"."ss_ext_sales_price" AS "sales_price",
"store_sales"."ss_net_profit" AS "profit",
CAST(0 AS DECIMAL(7, 2)) AS "return_amt",
CAST(0 AS DECIMAL(7, 2)) AS "net_loss"
FROM "store_sales" AS "store_sales"
UNION ALL
SELECT
"store_returns"."sr_store_sk" AS "store_sk",
"store_returns"."sr_returned_date_sk" AS "date_sk",
CAST(0 AS DECIMAL(7, 2)) AS "sales_price",
CAST(0 AS DECIMAL(7, 2)) AS "profit",
"store_returns"."sr_return_amt" AS "return_amt",
"store_returns"."sr_net_loss" AS "net_loss"
FROM "store_returns" AS "store_returns"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
WHERE
CAST("date_dim"."d_date" AS DATE) <= CAST('2002-09-05' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('2002-08-22' AS DATE)
), "ssr" AS (
SELECT
"store"."s_store_id" AS "s_store_id",
SUM("salesreturns"."sales_price") AS "sales",
SUM("salesreturns"."profit") AS "profit",
SUM("salesreturns"."return_amt") AS "returns1",
SUM("salesreturns"."net_loss") AS "profit_loss"
FROM "salesreturns" AS "salesreturns"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "salesreturns"."date_sk"
JOIN "store" AS "store"
ON "salesreturns"."store_sk" = "store"."s_store_sk"
GROUP BY
"store"."s_store_id"
), "salesreturns_2" AS (
SELECT
"catalog_sales"."cs_catalog_page_sk" AS "page_sk",
"catalog_sales"."cs_sold_date_sk" AS "date_sk",
"catalog_sales"."cs_ext_sales_price" AS "sales_price",
"catalog_sales"."cs_net_profit" AS "profit",
CAST(0 AS DECIMAL(7, 2)) AS "return_amt",
CAST(0 AS DECIMAL(7, 2)) AS "net_loss"
FROM "catalog_sales" AS "catalog_sales"
UNION ALL
SELECT
"catalog_returns"."cr_catalog_page_sk" AS "page_sk",
"catalog_returns"."cr_returned_date_sk" AS "date_sk",
CAST(0 AS DECIMAL(7, 2)) AS "sales_price",
CAST(0 AS DECIMAL(7, 2)) AS "profit",
"catalog_returns"."cr_return_amount" AS "return_amt",
"catalog_returns"."cr_net_loss" AS "net_loss"
FROM "catalog_returns" AS "catalog_returns"
), "csr" AS (
SELECT
"catalog_page"."cp_catalog_page_id" AS "cp_catalog_page_id",
SUM("salesreturns"."sales_price") AS "sales",
SUM("salesreturns"."profit") AS "profit",
SUM("salesreturns"."return_amt") AS "returns1",
SUM("salesreturns"."net_loss") AS "profit_loss"
FROM "salesreturns_2" AS "salesreturns"
JOIN "catalog_page" AS "catalog_page"
ON "catalog_page"."cp_catalog_page_sk" = "salesreturns"."page_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "salesreturns"."date_sk"
GROUP BY
"catalog_page"."cp_catalog_page_id"
), "salesreturns_3" AS (
SELECT
"web_sales"."ws_web_site_sk" AS "wsr_web_site_sk",
"web_sales"."ws_sold_date_sk" AS "date_sk",
"web_sales"."ws_ext_sales_price" AS "sales_price",
"web_sales"."ws_net_profit" AS "profit",
CAST(0 AS DECIMAL(7, 2)) AS "return_amt",
CAST(0 AS DECIMAL(7, 2)) AS "net_loss"
FROM "web_sales" AS "web_sales"
UNION ALL
SELECT
"web_sales"."ws_web_site_sk" AS "wsr_web_site_sk",
"web_returns"."wr_returned_date_sk" AS "date_sk",
CAST(0 AS DECIMAL(7, 2)) AS "sales_price",
CAST(0 AS DECIMAL(7, 2)) AS "profit",
"web_returns"."wr_return_amt" AS "return_amt",
"web_returns"."wr_net_loss" AS "net_loss"
FROM "web_returns" AS "web_returns"
LEFT JOIN "web_sales" AS "web_sales"
ON "web_returns"."wr_item_sk" = "web_sales"."ws_item_sk"
AND "web_returns"."wr_order_number" = "web_sales"."ws_order_number"
), "wsr" AS (
SELECT
"web_site"."web_site_id" AS "web_site_id",
SUM("salesreturns"."sales_price") AS "sales",
SUM("salesreturns"."profit") AS "profit",
SUM("salesreturns"."return_amt") AS "returns1",
SUM("salesreturns"."net_loss") AS "profit_loss"
FROM "salesreturns_3" AS "salesreturns"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "salesreturns"."date_sk"
JOIN "web_site" AS "web_site"
ON "salesreturns"."wsr_web_site_sk" = "web_site"."web_site_sk"
GROUP BY
"web_site"."web_site_id"
), "x" AS (
SELECT
'store channel' AS "channel",
'store' || "ssr"."s_store_id" AS "id",
"ssr"."sales" AS "sales",
"ssr"."returns1" AS "returns1",
"ssr"."profit" - "ssr"."profit_loss" AS "profit"
FROM "ssr" AS "ssr"
UNION ALL
SELECT
'catalog channel' AS "channel",
'catalog_page' || "csr"."cp_catalog_page_id" AS "id",
"csr"."sales" AS "sales",
"csr"."returns1" AS "returns1",
"csr"."profit" - "csr"."profit_loss" AS "profit"
FROM "csr" AS "csr"
UNION ALL
SELECT
'web channel' AS "channel",
'web_site' || "wsr"."web_site_id" AS "id",
"wsr"."sales" AS "sales",
"wsr"."returns1" AS "returns1",
"wsr"."profit" - "wsr"."profit_loss" AS "profit"
FROM "wsr" AS "wsr"
)
SELECT
"x"."channel" AS "channel",
"x"."id" AS "id",
SUM("x"."sales") AS "sales",
SUM("x"."returns1") AS "returns1",
SUM("x"."profit") AS "profit"
FROM "x" AS "x"
GROUP BY
ROLLUP (
"x"."channel",
"x"."id"
)
ORDER BY
"channel",
"id"
LIMIT 100;
--------------------------------------
-- TPC-DS 6
--------------------------------------
# execute: true
SELECT a.ca_state state,
Count(*) cnt
FROM customer_address a,
customer c,
store_sales s,
date_dim d,
item i
WHERE a.ca_address_sk = c.c_current_addr_sk
AND c.c_customer_sk = s.ss_customer_sk
AND s.ss_sold_date_sk = d.d_date_sk
AND s.ss_item_sk = i.i_item_sk
AND d.d_month_seq = (SELECT DISTINCT ( d_month_seq )
FROM date_dim
WHERE d_year = 1998
AND d_moy = 7)
AND i.i_current_price > 1.2 * (SELECT Avg(j.i_current_price)
FROM item j
WHERE j.i_category = i.i_category)
GROUP BY a.ca_state
HAVING Count(*) >= 10
ORDER BY cnt
LIMIT 100;
WITH "_u_0" AS (
SELECT DISTINCT
"date_dim"."d_month_seq" AS "d_month_seq"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 7 AND "date_dim"."d_year" = 1998
), "_u_1" AS (
SELECT
AVG("j"."i_current_price") AS "_col_0",
"j"."i_category" AS "_u_2"
FROM "item" AS "j"
GROUP BY
"j"."i_category"
)
SELECT
"a"."ca_state" AS "state",
COUNT(*) AS "cnt"
FROM "customer_address" AS "a"
JOIN "customer" AS "c"
ON "a"."ca_address_sk" = "c"."c_current_addr_sk"
JOIN "store_sales" AS "s"
ON "c"."c_customer_sk" = "s"."ss_customer_sk"
JOIN "date_dim" AS "d"
ON "d"."d_date_sk" = "s"."ss_sold_date_sk"
JOIN "item" AS "i"
ON "i"."i_item_sk" = "s"."ss_item_sk"
JOIN "_u_0" AS "_u_0"
ON "_u_0"."d_month_seq" = "d"."d_month_seq"
LEFT JOIN "_u_1" AS "_u_1"
ON "_u_1"."_u_2" = "i"."i_category"
WHERE
"i"."i_current_price" > 1.2 * "_u_1"."_col_0"
GROUP BY
"a"."ca_state"
HAVING
COUNT(*) >= 10
ORDER BY
"cnt"
LIMIT 100;
--------------------------------------
-- TPC-DS 7
--------------------------------------
# execute: true
SELECT i_item_id,
Avg(ss_quantity) agg1,
Avg(ss_list_price) agg2,
Avg(ss_coupon_amt) agg3,
Avg(ss_sales_price) agg4
FROM store_sales,
customer_demographics,
date_dim,
item,
promotion
WHERE ss_sold_date_sk = d_date_sk
AND ss_item_sk = i_item_sk
AND ss_cdemo_sk = cd_demo_sk
AND ss_promo_sk = p_promo_sk
AND cd_gender = 'F'
AND cd_marital_status = 'W'
AND cd_education_status = '2 yr Degree'
AND ( p_channel_email = 'N'
OR p_channel_event = 'N' )
AND d_year = 1998
GROUP BY i_item_id
ORDER BY i_item_id
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
AVG("store_sales"."ss_quantity") AS "agg1",
AVG("store_sales"."ss_list_price") AS "agg2",
AVG("store_sales"."ss_coupon_amt") AS "agg3",
AVG("store_sales"."ss_sales_price") AS "agg4"
FROM "store_sales" AS "store_sales"
JOIN "customer_demographics" AS "customer_demographics"
ON "customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "customer_demographics"."cd_education_status" = '2 yr Degree'
AND "customer_demographics"."cd_gender" = 'F'
AND "customer_demographics"."cd_marital_status" = 'W'
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" = 1998
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "promotion" AS "promotion"
ON (
"promotion"."p_channel_email" = 'N' OR "promotion"."p_channel_event" = 'N'
)
AND "promotion"."p_promo_sk" = "store_sales"."ss_promo_sk"
GROUP BY
"item"."i_item_id"
ORDER BY
"i_item_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 8
--------------------------------------
SELECT s_store_name,
Sum(ss_net_profit)
FROM store_sales,
date_dim,
store,
(SELECT ca_zip
FROM (SELECT SUBSTRING(ca_zip, 1, 5) ca_zip
FROM customer_address
WHERE SUBSTRING(ca_zip, 1, 5) IN ( '67436', '26121', '38443',
'63157',
'68856', '19485', '86425',
'26741',
'70991', '60899', '63573',
'47556',
'56193', '93314', '87827',
'62017',
'85067', '95390', '48091',
'10261',
'81845', '41790', '42853',
'24675',
'12840', '60065', '84430',
'57451',
'24021', '91735', '75335',
'71935',
'34482', '56943', '70695',
'52147',
'56251', '28411', '86653',
'23005',
'22478', '29031', '34398',
'15365',
'42460', '33337', '59433',
'73943',
'72477', '74081', '74430',
'64605',
'39006', '11226', '49057',
'97308',
'42663', '18187', '19768',
'43454',
'32147', '76637', '51975',
'11181',
'45630', '33129', '45995',
'64386',
'55522', '26697', '20963',
'35154',
'64587', '49752', '66386',
'30586',
'59286', '13177', '66646',
'84195',
'74316', '36853', '32927',
'12469',
'11904', '36269', '17724',
'55346',
'12595', '53988', '65439',
'28015',
'63268', '73590', '29216',
'82575',
'69267', '13805', '91678',
'79460',
'94152', '14961', '15419',
'48277',
'62588', '55493', '28360',
'14152',
'55225', '18007', '53705',
'56573',
'80245', '71769', '57348',
'36845',
'13039', '17270', '22363',
'83474',
'25294', '43269', '77666',
'15488',
'99146', '64441', '43338',
'38736',
'62754', '48556', '86057',
'23090',
'38114', '66061', '18910',
'84385',
'23600', '19975', '27883',
'65719',
'19933', '32085', '49731',
'40473',
'27190', '46192', '23949',
'44738',
'12436', '64794', '68741',
'15333',
'24282', '49085', '31844',
'71156',
'48441', '17100', '98207',
'44982',
'20277', '71496', '96299',
'37583',
'22206', '89174', '30589',
'61924',
'53079', '10976', '13104',
'42794',
'54772', '15809', '56434',
'39975',
'13874', '30753', '77598',
'78229',
'59478', '12345', '55547',
'57422',
'42600', '79444', '29074',
'29752',
'21676', '32096', '43044',
'39383',
'37296', '36295', '63077',
'16572',
'31275', '18701', '40197',
'48242',
'27219', '49865', '84175',
'30446',
'25165', '13807', '72142',
'70499',
'70464', '71429', '18111',
'70857',
'29545', '36425', '52706',
'36194',
'42963', '75068', '47921',
'74763',
'90990', '89456', '62073',
'88397',
'73963', '75885', '62657',
'12530',
'81146', '57434', '25099',
'41429',
'98441', '48713', '52552',
'31667',
'14072', '13903', '44709',
'85429',
'58017', '38295', '44875',
'73541',
'30091', '12707', '23762',
'62258',
'33247', '78722', '77431',
'14510',
'35656', '72428', '92082',
'35267',
'43759', '24354', '90952',
'11512',
'21242', '22579', '56114',
'32339',
'52282', '41791', '24484',
'95020',
'28408', '99710', '11899',
'43344',
'72915', '27644', '62708',
'74479',
'17177', '32619', '12351',
'91339',
'31169', '57081', '53522',
'16712',
'34419', '71779', '44187',
'46206',
'96099', '61910', '53664',
'12295',
'31837', '33096', '10813',
'63048',
'31732', '79118', '73084',
'72783',
'84952', '46965', '77956',
'39815',
'32311', '75329', '48156',
'30826',
'49661', '13736', '92076',
'74865',
'88149', '92397', '52777',
'68453',
'32012', '21222', '52721',
'24626',
'18210', '42177', '91791',
'75251',
'82075', '44372', '45542',
'20609',
'60115', '17362', '22750',
'90434',
'31852', '54071', '33762',
'14705',
'40718', '56433', '30996',
'40657',
'49056', '23585', '66455',
'41021',
'74736', '72151', '37007',
'21729',
'60177', '84558', '59027',
'93855',
'60022', '86443', '19541',
'86886',
'30532', '39062', '48532',
'34713',
'52077', '22564', '64638',
'15273',
'31677', '36138', '62367',
'60261',
'80213', '42818', '25113',
'72378',
'69802', '69096', '55443',
'28820',
'13848', '78258', '37490',
'30556',
'77380', '28447', '44550',
'26791',
'70609', '82182', '33306',
'43224',
'22322', '86959', '68519',
'14308',
'46501', '81131', '34056',
'61991',
'19896', '87804', '65774',
'92564' )
INTERSECT
SELECT ca_zip
FROM (SELECT SUBSTRING(ca_zip, 1, 5) ca_zip,
Count(*) cnt
FROM customer_address,
customer
WHERE ca_address_sk = c_current_addr_sk
AND c_preferred_cust_flag = 'Y'
GROUP BY ca_zip
HAVING Count(*) > 10)A1)A2) V1
WHERE ss_store_sk = s_store_sk
AND ss_sold_date_sk = d_date_sk
AND d_qoy = 2
AND d_year = 2000
AND ( SUBSTRING(s_zip, 1, 2) = SUBSTRING(V1.ca_zip, 1, 2) )
GROUP BY s_store_name
ORDER BY s_store_name
LIMIT 100;
WITH "a1" AS (
SELECT
SUBSTRING("customer_address"."ca_zip", 1, 5) AS "ca_zip"
FROM "customer_address" AS "customer_address"
JOIN "customer" AS "customer"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
AND "customer"."c_preferred_cust_flag" = 'Y'
GROUP BY
"customer_address"."ca_zip"
HAVING
COUNT(*) > 10
), "a2" AS (
SELECT
SUBSTRING("customer_address"."ca_zip", 1, 5) AS "ca_zip"
FROM "customer_address" AS "customer_address"
WHERE
SUBSTRING("customer_address"."ca_zip", 1, 5) IN (
'67436',
'26121',
'38443',
'63157',
'68856',
'19485',
'86425',
'26741',
'70991',
'60899',
'63573',
'47556',
'56193',
'93314',
'87827',
'62017',
'85067',
'95390',
'48091',
'10261',
'81845',
'41790',
'42853',
'24675',
'12840',
'60065',
'84430',
'57451',
'24021',
'91735',
'75335',
'71935',
'34482',
'56943',
'70695',
'52147',
'56251',
'28411',
'86653',
'23005',
'22478',
'29031',
'34398',
'15365',
'42460',
'33337',
'59433',
'73943',
'72477',
'74081',
'74430',
'64605',
'39006',
'11226',
'49057',
'97308',
'42663',
'18187',
'19768',
'43454',
'32147',
'76637',
'51975',
'11181',
'45630',
'33129',
'45995',
'64386',
'55522',
'26697',
'20963',
'35154',
'64587',
'49752',
'66386',
'30586',
'59286',
'13177',
'66646',
'84195',
'74316',
'36853',
'32927',
'12469',
'11904',
'36269',
'17724',
'55346',
'12595',
'53988',
'65439',
'28015',
'63268',
'73590',
'29216',
'82575',
'69267',
'13805',
'91678',
'79460',
'94152',
'14961',
'15419',
'48277',
'62588',
'55493',
'28360',
'14152',
'55225',
'18007',
'53705',
'56573',
'80245',
'71769',
'57348',
'36845',
'13039',
'17270',
'22363',
'83474',
'25294',
'43269',
'77666',
'15488',
'99146',
'64441',
'43338',
'38736',
'62754',
'48556',
'86057',
'23090',
'38114',
'66061',
'18910',
'84385',
'23600',
'19975',
'27883',
'65719',
'19933',
'32085',
'49731',
'40473',
'27190',
'46192',
'23949',
'44738',
'12436',
'64794',
'68741',
'15333',
'24282',
'49085',
'31844',
'71156',
'48441',
'17100',
'98207',
'44982',
'20277',
'71496',
'96299',
'37583',
'22206',
'89174',
'30589',
'61924',
'53079',
'10976',
'13104',
'42794',
'54772',
'15809',
'56434',
'39975',
'13874',
'30753',
'77598',
'78229',
'59478',
'12345',
'55547',
'57422',
'42600',
'79444',
'29074',
'29752',
'21676',
'32096',
'43044',
'39383',
'37296',
'36295',
'63077',
'16572',
'31275',
'18701',
'40197',
'48242',
'27219',
'49865',
'84175',
'30446',
'25165',
'13807',
'72142',
'70499',
'70464',
'71429',
'18111',
'70857',
'29545',
'36425',
'52706',
'36194',
'42963',
'75068',
'47921',
'74763',
'90990',
'89456',
'62073',
'88397',
'73963',
'75885',
'62657',
'12530',
'81146',
'57434',
'25099',
'41429',
'98441',
'48713',
'52552',
'31667',
'14072',
'13903',
'44709',
'85429',
'58017',
'38295',
'44875',
'73541',
'30091',
'12707',
'23762',
'62258',
'33247',
'78722',
'77431',
'14510',
'35656',
'72428',
'92082',
'35267',
'43759',
'24354',
'90952',
'11512',
'21242',
'22579',
'56114',
'32339',
'52282',
'41791',
'24484',
'95020',
'28408',
'99710',
'11899',
'43344',
'72915',
'27644',
'62708',
'74479',
'17177',
'32619',
'12351',
'91339',
'31169',
'57081',
'53522',
'16712',
'34419',
'71779',
'44187',
'46206',
'96099',
'61910',
'53664',
'12295',
'31837',
'33096',
'10813',
'63048',
'31732',
'79118',
'73084',
'72783',
'84952',
'46965',
'77956',
'39815',
'32311',
'75329',
'48156',
'30826',
'49661',
'13736',
'92076',
'74865',
'88149',
'92397',
'52777',
'68453',
'32012',
'21222',
'52721',
'24626',
'18210',
'42177',
'91791',
'75251',
'82075',
'44372',
'45542',
'20609',
'60115',
'17362',
'22750',
'90434',
'31852',
'54071',
'33762',
'14705',
'40718',
'56433',
'30996',
'40657',
'49056',
'23585',
'66455',
'41021',
'74736',
'72151',
'37007',
'21729',
'60177',
'84558',
'59027',
'93855',
'60022',
'86443',
'19541',
'86886',
'30532',
'39062',
'48532',
'34713',
'52077',
'22564',
'64638',
'15273',
'31677',
'36138',
'62367',
'60261',
'80213',
'42818',
'25113',
'72378',
'69802',
'69096',
'55443',
'28820',
'13848',
'78258',
'37490',
'30556',
'77380',
'28447',
'44550',
'26791',
'70609',
'82182',
'33306',
'43224',
'22322',
'86959',
'68519',
'14308',
'46501',
'81131',
'34056',
'61991',
'19896',
'87804',
'65774',
'92564'
)
INTERSECT
SELECT
"a1"."ca_zip" AS "ca_zip"
FROM "a1" AS "a1"
)
SELECT
"store"."s_store_name" AS "s_store_name",
SUM("store_sales"."ss_net_profit") AS "_col_1"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_qoy" = 2
AND "date_dim"."d_year" = 2000
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "a2" AS "a2"
ON SUBSTRING("a2"."ca_zip", 1, 2) = SUBSTRING("store"."s_zip", 1, 2)
GROUP BY
"store"."s_store_name"
ORDER BY
"s_store_name"
LIMIT 100;
--------------------------------------
-- TPC-DS 9
--------------------------------------
# execute: true
SELECT CASE
WHEN (SELECT Count(*)
FROM store_sales
WHERE ss_quantity BETWEEN 1 AND 20) > 3672 THEN
(SELECT Avg(ss_ext_list_price)
FROM store_sales
WHERE
ss_quantity BETWEEN 1 AND 20)
ELSE (SELECT Avg(ss_net_profit)
FROM store_sales
WHERE ss_quantity BETWEEN 1 AND 20)
END bucket1,
CASE
WHEN (SELECT Count(*)
FROM store_sales
WHERE ss_quantity BETWEEN 21 AND 40) > 3392 THEN
(SELECT Avg(ss_ext_list_price)
FROM store_sales
WHERE
ss_quantity BETWEEN 21 AND 40)
ELSE (SELECT Avg(ss_net_profit)
FROM store_sales
WHERE ss_quantity BETWEEN 21 AND 40)
END bucket2,
CASE
WHEN (SELECT Count(*)
FROM store_sales
WHERE ss_quantity BETWEEN 41 AND 60) > 32784 THEN
(SELECT Avg(ss_ext_list_price)
FROM store_sales
WHERE
ss_quantity BETWEEN 41 AND 60)
ELSE (SELECT Avg(ss_net_profit)
FROM store_sales
WHERE ss_quantity BETWEEN 41 AND 60)
END bucket3,
CASE
WHEN (SELECT Count(*)
FROM store_sales
WHERE ss_quantity BETWEEN 61 AND 80) > 26032 THEN
(SELECT Avg(ss_ext_list_price)
FROM store_sales
WHERE
ss_quantity BETWEEN 61 AND 80)
ELSE (SELECT Avg(ss_net_profit)
FROM store_sales
WHERE ss_quantity BETWEEN 61 AND 80)
END bucket4,
CASE
WHEN (SELECT Count(*)
FROM store_sales
WHERE ss_quantity BETWEEN 81 AND 100) > 23982 THEN
(SELECT Avg(ss_ext_list_price)
FROM store_sales
WHERE
ss_quantity BETWEEN 81 AND 100)
ELSE (SELECT Avg(ss_net_profit)
FROM store_sales
WHERE ss_quantity BETWEEN 81 AND 100)
END bucket5
FROM reason
WHERE r_reason_sk = 1;
WITH "_u_0" AS (
SELECT
COUNT(*) AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 20 AND "store_sales"."ss_quantity" >= 1
), "_u_1" AS (
SELECT
AVG("store_sales"."ss_ext_list_price") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 20 AND "store_sales"."ss_quantity" >= 1
), "_u_10" AS (
SELECT
AVG("store_sales"."ss_ext_list_price") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 80 AND "store_sales"."ss_quantity" >= 61
), "_u_11" AS (
SELECT
AVG("store_sales"."ss_net_profit") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 80 AND "store_sales"."ss_quantity" >= 61
), "_u_12" AS (
SELECT
COUNT(*) AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 100 AND "store_sales"."ss_quantity" >= 81
), "_u_13" AS (
SELECT
AVG("store_sales"."ss_ext_list_price") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 100 AND "store_sales"."ss_quantity" >= 81
), "_u_14" AS (
SELECT
AVG("store_sales"."ss_net_profit") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 100 AND "store_sales"."ss_quantity" >= 81
), "_u_2" AS (
SELECT
AVG("store_sales"."ss_net_profit") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 20 AND "store_sales"."ss_quantity" >= 1
), "_u_3" AS (
SELECT
COUNT(*) AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 40 AND "store_sales"."ss_quantity" >= 21
), "_u_4" AS (
SELECT
AVG("store_sales"."ss_ext_list_price") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 40 AND "store_sales"."ss_quantity" >= 21
), "_u_5" AS (
SELECT
AVG("store_sales"."ss_net_profit") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 40 AND "store_sales"."ss_quantity" >= 21
), "_u_6" AS (
SELECT
COUNT(*) AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 60 AND "store_sales"."ss_quantity" >= 41
), "_u_7" AS (
SELECT
AVG("store_sales"."ss_ext_list_price") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 60 AND "store_sales"."ss_quantity" >= 41
), "_u_8" AS (
SELECT
AVG("store_sales"."ss_net_profit") AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 60 AND "store_sales"."ss_quantity" >= 41
), "_u_9" AS (
SELECT
COUNT(*) AS "_col_0"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_quantity" <= 80 AND "store_sales"."ss_quantity" >= 61
)
SELECT
CASE WHEN "_u_0"."_col_0" > 3672 THEN "_u_1"."_col_0" ELSE "_u_2"."_col_0" END AS "bucket1",
CASE WHEN "_u_3"."_col_0" > 3392 THEN "_u_4"."_col_0" ELSE "_u_5"."_col_0" END AS "bucket2",
CASE WHEN "_u_6"."_col_0" > 32784 THEN "_u_7"."_col_0" ELSE "_u_8"."_col_0" END AS "bucket3",
CASE WHEN "_u_9"."_col_0" > 26032 THEN "_u_10"."_col_0" ELSE "_u_11"."_col_0" END AS "bucket4",
CASE WHEN "_u_12"."_col_0" > 23982 THEN "_u_13"."_col_0" ELSE "_u_14"."_col_0" END AS "bucket5"
FROM "reason" AS "reason"
CROSS JOIN "_u_0" AS "_u_0"
CROSS JOIN "_u_1" AS "_u_1"
CROSS JOIN "_u_10" AS "_u_10"
CROSS JOIN "_u_11" AS "_u_11"
CROSS JOIN "_u_12" AS "_u_12"
CROSS JOIN "_u_13" AS "_u_13"
CROSS JOIN "_u_14" AS "_u_14"
CROSS JOIN "_u_2" AS "_u_2"
CROSS JOIN "_u_3" AS "_u_3"
CROSS JOIN "_u_4" AS "_u_4"
CROSS JOIN "_u_5" AS "_u_5"
CROSS JOIN "_u_6" AS "_u_6"
CROSS JOIN "_u_7" AS "_u_7"
CROSS JOIN "_u_8" AS "_u_8"
CROSS JOIN "_u_9" AS "_u_9"
WHERE
"reason"."r_reason_sk" = 1;
--------------------------------------
-- TPC-DS 10
--------------------------------------
# execute: true
SELECT cd_gender,
cd_marital_status,
cd_education_status,
Count(*) cnt1,
cd_purchase_estimate,
Count(*) cnt2,
cd_credit_rating,
Count(*) cnt3,
cd_dep_count,
Count(*) cnt4,
cd_dep_employed_count,
Count(*) cnt5,
cd_dep_college_count,
Count(*) cnt6
FROM customer c,
customer_address ca,
customer_demographics
WHERE c.c_current_addr_sk = ca.ca_address_sk
AND ca_county IN ( 'Lycoming County', 'Sheridan County',
'Kandiyohi County',
'Pike County',
'Greene County' )
AND cd_demo_sk = c.c_current_cdemo_sk
AND EXISTS (SELECT *
FROM store_sales,
date_dim
WHERE c.c_customer_sk = ss_customer_sk
AND ss_sold_date_sk = d_date_sk
AND d_year = 2002
AND d_moy BETWEEN 4 AND 4 + 3)
AND ( EXISTS (SELECT *
FROM web_sales,
date_dim
WHERE c.c_customer_sk = ws_bill_customer_sk
AND ws_sold_date_sk = d_date_sk
AND d_year = 2002
AND d_moy BETWEEN 4 AND 4 + 3)
OR EXISTS (SELECT *
FROM catalog_sales,
date_dim
WHERE c.c_customer_sk = cs_ship_customer_sk
AND cs_sold_date_sk = d_date_sk
AND d_year = 2002
AND d_moy BETWEEN 4 AND 4 + 3) )
GROUP BY cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating,
cd_dep_count,
cd_dep_employed_count,
cd_dep_college_count
ORDER BY cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating,
cd_dep_count,
cd_dep_employed_count,
cd_dep_college_count
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date_id" AS "d_date_id",
"date_dim"."d_date" AS "d_date",
"date_dim"."d_month_seq" AS "d_month_seq",
"date_dim"."d_week_seq" AS "d_week_seq",
"date_dim"."d_quarter_seq" AS "d_quarter_seq",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_dow" AS "d_dow",
"date_dim"."d_moy" AS "d_moy",
"date_dim"."d_dom" AS "d_dom",
"date_dim"."d_qoy" AS "d_qoy",
"date_dim"."d_fy_year" AS "d_fy_year",
"date_dim"."d_fy_quarter_seq" AS "d_fy_quarter_seq",
"date_dim"."d_fy_week_seq" AS "d_fy_week_seq",
"date_dim"."d_day_name" AS "d_day_name",
"date_dim"."d_quarter_name" AS "d_quarter_name",
"date_dim"."d_holiday" AS "d_holiday",
"date_dim"."d_weekend" AS "d_weekend",
"date_dim"."d_following_holiday" AS "d_following_holiday",
"date_dim"."d_first_dom" AS "d_first_dom",
"date_dim"."d_last_dom" AS "d_last_dom",
"date_dim"."d_same_day_ly" AS "d_same_day_ly",
"date_dim"."d_same_day_lq" AS "d_same_day_lq",
"date_dim"."d_current_day" AS "d_current_day",
"date_dim"."d_current_week" AS "d_current_week",
"date_dim"."d_current_month" AS "d_current_month",
"date_dim"."d_current_quarter" AS "d_current_quarter",
"date_dim"."d_current_year" AS "d_current_year"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" <= 7 AND "date_dim"."d_moy" >= 4 AND "date_dim"."d_year" = 2002
), "_u_0" AS (
SELECT
"store_sales"."ss_customer_sk" AS "_u_1"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"store_sales"."ss_customer_sk"
), "_u_2" AS (
SELECT
"web_sales"."ws_bill_customer_sk" AS "_u_3"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
GROUP BY
"web_sales"."ws_bill_customer_sk"
), "_u_4" AS (
SELECT
"catalog_sales"."cs_ship_customer_sk" AS "_u_5"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
GROUP BY
"catalog_sales"."cs_ship_customer_sk"
)
SELECT
"customer_demographics"."cd_gender" AS "cd_gender",
"customer_demographics"."cd_marital_status" AS "cd_marital_status",
"customer_demographics"."cd_education_status" AS "cd_education_status",
COUNT(*) AS "cnt1",
"customer_demographics"."cd_purchase_estimate" AS "cd_purchase_estimate",
COUNT(*) AS "cnt2",
"customer_demographics"."cd_credit_rating" AS "cd_credit_rating",
COUNT(*) AS "cnt3",
"customer_demographics"."cd_dep_count" AS "cd_dep_count",
COUNT(*) AS "cnt4",
"customer_demographics"."cd_dep_employed_count" AS "cd_dep_employed_count",
COUNT(*) AS "cnt5",
"customer_demographics"."cd_dep_college_count" AS "cd_dep_college_count",
COUNT(*) AS "cnt6"
FROM "customer" AS "c"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "c"."c_customer_sk"
LEFT JOIN "_u_2" AS "_u_2"
ON "_u_2"."_u_3" = "c"."c_customer_sk"
LEFT JOIN "_u_4" AS "_u_4"
ON "_u_4"."_u_5" = "c"."c_customer_sk"
JOIN "customer_address" AS "ca"
ON "c"."c_current_addr_sk" = "ca"."ca_address_sk"
AND "ca"."ca_county" IN (
'Lycoming County',
'Sheridan County',
'Kandiyohi County',
'Pike County',
'Greene County'
)
JOIN "customer_demographics" AS "customer_demographics"
ON "c"."c_current_cdemo_sk" = "customer_demographics"."cd_demo_sk"
WHERE
NOT "_u_0"."_u_1" IS NULL
AND (
NOT "_u_2"."_u_3" IS NULL OR NOT "_u_4"."_u_5" IS NULL
)
GROUP BY
"customer_demographics"."cd_gender",
"customer_demographics"."cd_marital_status",
"customer_demographics"."cd_education_status",
"customer_demographics"."cd_purchase_estimate",
"customer_demographics"."cd_credit_rating",
"customer_demographics"."cd_dep_count",
"customer_demographics"."cd_dep_employed_count",
"customer_demographics"."cd_dep_college_count"
ORDER BY
"cd_gender",
"cd_marital_status",
"cd_education_status",
"cd_purchase_estimate",
"cd_credit_rating",
"cd_dep_count",
"cd_dep_employed_count",
"cd_dep_college_count"
LIMIT 100;
--------------------------------------
-- TPC-DS 11
--------------------------------------
# execute: true
WITH year_total
AS (SELECT c_customer_id customer_id,
c_first_name customer_first_name
,
c_last_name
customer_last_name,
c_preferred_cust_flag
customer_preferred_cust_flag
,
c_birth_country
customer_birth_country,
c_login customer_login,
c_email_address
customer_email_address,
d_year dyear,
Sum(ss_ext_list_price - ss_ext_discount_amt) year_total,
's' sale_type
FROM customer,
store_sales,
date_dim
WHERE c_customer_sk = ss_customer_sk
AND ss_sold_date_sk = d_date_sk
GROUP BY c_customer_id,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_country,
c_login,
c_email_address,
d_year
UNION ALL
SELECT c_customer_id customer_id,
c_first_name customer_first_name
,
c_last_name
customer_last_name,
c_preferred_cust_flag
customer_preferred_cust_flag
,
c_birth_country
customer_birth_country,
c_login customer_login,
c_email_address
customer_email_address,
d_year dyear,
Sum(ws_ext_list_price - ws_ext_discount_amt) year_total,
'w' sale_type
FROM customer,
web_sales,
date_dim
WHERE c_customer_sk = ws_bill_customer_sk
AND ws_sold_date_sk = d_date_sk
GROUP BY c_customer_id,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_country,
c_login,
c_email_address,
d_year)
SELECT t_s_secyear.customer_id,
t_s_secyear.customer_first_name,
t_s_secyear.customer_last_name,
t_s_secyear.customer_birth_country
FROM year_total t_s_firstyear,
year_total t_s_secyear,
year_total t_w_firstyear,
year_total t_w_secyear
WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id
AND t_s_firstyear.customer_id = t_w_secyear.customer_id
AND t_s_firstyear.customer_id = t_w_firstyear.customer_id
AND t_s_firstyear.sale_type = 's'
AND t_w_firstyear.sale_type = 'w'
AND t_s_secyear.sale_type = 's'
AND t_w_secyear.sale_type = 'w'
AND t_s_firstyear.dyear = 2001
AND t_s_secyear.dyear = 2001 + 1
AND t_w_firstyear.dyear = 2001
AND t_w_secyear.dyear = 2001 + 1
AND t_s_firstyear.year_total > 0
AND t_w_firstyear.year_total > 0
AND CASE
WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total /
t_w_firstyear.year_total
ELSE 0.0
END > CASE
WHEN t_s_firstyear.year_total > 0 THEN
t_s_secyear.year_total /
t_s_firstyear.year_total
ELSE 0.0
END
ORDER BY t_s_secyear.customer_id,
t_s_secyear.customer_first_name,
t_s_secyear.customer_last_name,
t_s_secyear.customer_birth_country
LIMIT 100;
WITH "customer_2" AS (
SELECT
"customer"."c_customer_sk" AS "c_customer_sk",
"customer"."c_customer_id" AS "c_customer_id",
"customer"."c_first_name" AS "c_first_name",
"customer"."c_last_name" AS "c_last_name",
"customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag",
"customer"."c_birth_country" AS "c_birth_country",
"customer"."c_login" AS "c_login",
"customer"."c_email_address" AS "c_email_address"
FROM "customer" AS "customer"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year"
FROM "date_dim" AS "date_dim"
), "year_total" AS (
SELECT
"customer"."c_customer_id" AS "customer_id",
"customer"."c_first_name" AS "customer_first_name",
"customer"."c_last_name" AS "customer_last_name",
"customer"."c_birth_country" AS "customer_birth_country",
"date_dim"."d_year" AS "dyear",
SUM("store_sales"."ss_ext_list_price" - "store_sales"."ss_ext_discount_amt") AS "year_total",
's' AS "sale_type"
FROM "customer_2" AS "customer"
JOIN "store_sales" AS "store_sales"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"customer"."c_customer_id",
"customer"."c_first_name",
"customer"."c_last_name",
"customer"."c_preferred_cust_flag",
"customer"."c_birth_country",
"customer"."c_login",
"customer"."c_email_address",
"date_dim"."d_year"
UNION ALL
SELECT
"customer"."c_customer_id" AS "customer_id",
"customer"."c_first_name" AS "customer_first_name",
"customer"."c_last_name" AS "customer_last_name",
"customer"."c_birth_country" AS "customer_birth_country",
"date_dim"."d_year" AS "dyear",
SUM("web_sales"."ws_ext_list_price" - "web_sales"."ws_ext_discount_amt") AS "year_total",
'w' AS "sale_type"
FROM "customer_2" AS "customer"
JOIN "web_sales" AS "web_sales"
ON "customer"."c_customer_sk" = "web_sales"."ws_bill_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
GROUP BY
"customer"."c_customer_id",
"customer"."c_first_name",
"customer"."c_last_name",
"customer"."c_preferred_cust_flag",
"customer"."c_birth_country",
"customer"."c_login",
"customer"."c_email_address",
"date_dim"."d_year"
)
SELECT
"t_s_secyear"."customer_id" AS "customer_id",
"t_s_secyear"."customer_first_name" AS "customer_first_name",
"t_s_secyear"."customer_last_name" AS "customer_last_name",
"t_s_secyear"."customer_birth_country" AS "customer_birth_country"
FROM "year_total" AS "t_s_firstyear"
JOIN "year_total" AS "t_s_secyear"
ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id"
AND "t_s_secyear"."dyear" = 2002
AND "t_s_secyear"."sale_type" = 's'
JOIN "year_total" AS "t_w_firstyear"
ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id"
AND "t_w_firstyear"."dyear" = 2001
AND "t_w_firstyear"."sale_type" = 'w'
AND "t_w_firstyear"."year_total" > 0
JOIN "year_total" AS "t_w_secyear"
ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id"
AND "t_w_secyear"."dyear" = 2002
AND "t_w_secyear"."sale_type" = 'w'
AND CASE
WHEN "t_s_firstyear"."year_total" > 0
THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total"
ELSE 0.0
END < CASE
WHEN "t_w_firstyear"."year_total" > 0
THEN "t_w_secyear"."year_total" / "t_w_firstyear"."year_total"
ELSE 0.0
END
WHERE
"t_s_firstyear"."dyear" = 2001
AND "t_s_firstyear"."sale_type" = 's'
AND "t_s_firstyear"."year_total" > 0
ORDER BY
"t_s_secyear"."customer_id",
"t_s_secyear"."customer_first_name",
"t_s_secyear"."customer_last_name",
"t_s_secyear"."customer_birth_country"
LIMIT 100;
--------------------------------------
-- TPC-DS 12
--------------------------------------
SELECT
i_item_id ,
i_item_desc ,
i_category ,
i_class ,
i_current_price ,
Sum(ws_ext_sales_price) AS itemrevenue ,
Sum(ws_ext_sales_price)*100/Sum(Sum(ws_ext_sales_price)) OVER (partition BY i_class) AS revenueratio
FROM web_sales ,
item ,
date_dim
WHERE ws_item_sk = i_item_sk
AND i_category IN ('Home',
'Men',
'Women')
AND ws_sold_date_sk = d_date_sk
AND d_date BETWEEN Cast('2000-05-11' AS DATE) AND (
Cast('2000-05-11' AS DATE) + INTERVAL '30' day)
GROUP BY i_item_id ,
i_item_desc ,
i_category ,
i_class ,
i_current_price
ORDER BY i_category ,
i_class ,
i_item_id ,
i_item_desc ,
revenueratio
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
"item"."i_item_desc" AS "i_item_desc",
"item"."i_category" AS "i_category",
"item"."i_class" AS "i_class",
"item"."i_current_price" AS "i_current_price",
SUM("web_sales"."ws_ext_sales_price") AS "itemrevenue",
SUM("web_sales"."ws_ext_sales_price") * 100 / SUM(SUM("web_sales"."ws_ext_sales_price")) OVER (PARTITION BY "item"."i_class") AS "revenueratio"
FROM "web_sales" AS "web_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
AND CAST("date_dim"."d_date" AS DATE) <= CAST('2000-06-10' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('2000-05-11' AS DATE)
JOIN "item" AS "item"
ON "item"."i_category" IN ('Home', 'Men', 'Women')
AND "item"."i_item_sk" = "web_sales"."ws_item_sk"
GROUP BY
"item"."i_item_id",
"item"."i_item_desc",
"item"."i_category",
"item"."i_class",
"item"."i_current_price"
ORDER BY
"i_category",
"i_class",
"i_item_id",
"i_item_desc",
"revenueratio"
LIMIT 100;
--------------------------------------
-- TPC-DS 13
--------------------------------------
SELECT Avg(ss_quantity),
Avg(ss_ext_sales_price),
Avg(ss_ext_wholesale_cost),
Sum(ss_ext_wholesale_cost)
FROM store_sales,
store,
customer_demographics,
household_demographics,
customer_address,
date_dim
WHERE s_store_sk = ss_store_sk
AND ss_sold_date_sk = d_date_sk
AND d_year = 2001
AND ( ( ss_hdemo_sk = hd_demo_sk
AND cd_demo_sk = ss_cdemo_sk
AND cd_marital_status = 'U'
AND cd_education_status = 'Advanced Degree'
AND ss_sales_price BETWEEN 100.00 AND 150.00
AND hd_dep_count = 3 )
OR ( ss_hdemo_sk = hd_demo_sk
AND cd_demo_sk = ss_cdemo_sk
AND cd_marital_status = 'M'
AND cd_education_status = 'Primary'
AND ss_sales_price BETWEEN 50.00 AND 100.00
AND hd_dep_count = 1 )
OR ( ss_hdemo_sk = hd_demo_sk
AND cd_demo_sk = ss_cdemo_sk
AND cd_marital_status = 'D'
AND cd_education_status = 'Secondary'
AND ss_sales_price BETWEEN 150.00 AND 200.00
AND hd_dep_count = 1 ) )
AND ( ( ss_addr_sk = ca_address_sk
AND ca_country = 'United States'
AND ca_state IN ( 'AZ', 'NE', 'IA' )
AND ss_net_profit BETWEEN 100 AND 200 )
OR ( ss_addr_sk = ca_address_sk
AND ca_country = 'United States'
AND ca_state IN ( 'MS', 'CA', 'NV' )
AND ss_net_profit BETWEEN 150 AND 300 )
OR ( ss_addr_sk = ca_address_sk
AND ca_country = 'United States'
AND ca_state IN ( 'GA', 'TX', 'NJ' )
AND ss_net_profit BETWEEN 50 AND 250 ) );
SELECT
AVG("store_sales"."ss_quantity") AS "_col_0",
AVG("store_sales"."ss_ext_sales_price") AS "_col_1",
AVG("store_sales"."ss_ext_wholesale_cost") AS "_col_2",
SUM("store_sales"."ss_ext_wholesale_cost") AS "_col_3"
FROM "store_sales" AS "store_sales"
CROSS JOIN "household_demographics" AS "household_demographics"
JOIN "customer_address" AS "customer_address"
ON (
"customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
AND "customer_address"."ca_country" = 'United States'
AND "customer_address"."ca_state" IN ('AZ', 'NE', 'IA')
AND "store_sales"."ss_net_profit" <= 200
AND "store_sales"."ss_net_profit" >= 100
)
OR (
"customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
AND "customer_address"."ca_country" = 'United States'
AND "customer_address"."ca_state" IN ('GA', 'TX', 'NJ')
AND "store_sales"."ss_net_profit" <= 250
AND "store_sales"."ss_net_profit" >= 50
)
OR (
"customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
AND "customer_address"."ca_country" = 'United States'
AND "customer_address"."ca_state" IN ('MS', 'CA', 'NV')
AND "store_sales"."ss_net_profit" <= 300
AND "store_sales"."ss_net_profit" >= 150
)
JOIN "customer_demographics" AS "customer_demographics"
ON (
"customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "customer_demographics"."cd_education_status" = 'Advanced Degree'
AND "customer_demographics"."cd_marital_status" = 'U'
AND "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
AND "household_demographics"."hd_dep_count" = 3
AND "store_sales"."ss_sales_price" <= 150.00
AND "store_sales"."ss_sales_price" >= 100.00
)
OR (
"customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "customer_demographics"."cd_education_status" = 'Primary'
AND "customer_demographics"."cd_marital_status" = 'M'
AND "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
AND "household_demographics"."hd_dep_count" = 1
AND "store_sales"."ss_sales_price" <= 100.00
AND "store_sales"."ss_sales_price" >= 50.00
)
OR (
"customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "customer_demographics"."cd_education_status" = 'Secondary'
AND "customer_demographics"."cd_marital_status" = 'D'
AND "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
AND "household_demographics"."hd_dep_count" = 1
AND "store_sales"."ss_sales_price" <= 200.00
AND "store_sales"."ss_sales_price" >= 150.00
)
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" = 2001
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk";
--------------------------------------
-- TPC-DS 14
--------------------------------------
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,
i_brand_id,
i_class_id,
i_category_id
LIMIT 100;
WITH "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_brand_id" AS "i_brand_id",
"item"."i_class_id" AS "i_class_id",
"item"."i_category_id" AS "i_category_id"
FROM "item" AS "item"
), "_q_0" AS (
SELECT
"iss"."i_brand_id" AS "brand_id",
"iss"."i_class_id" AS "class_id",
"iss"."i_category_id" AS "category_id"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "d1"."d_year" <= 2001
AND "d1"."d_year" >= 1999
JOIN "item" AS "iss"
ON "iss"."i_item_sk" = "store_sales"."ss_item_sk"
INTERSECT
SELECT
"ics"."i_brand_id" AS "i_brand_id",
"ics"."i_class_id" AS "i_class_id",
"ics"."i_category_id" AS "i_category_id"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim" AS "d2"
ON "catalog_sales"."cs_sold_date_sk" = "d2"."d_date_sk"
AND "d2"."d_year" <= 2001
AND "d2"."d_year" >= 1999
JOIN "item" AS "ics"
ON "catalog_sales"."cs_item_sk" = "ics"."i_item_sk"
INTERSECT
SELECT
"iws"."i_brand_id" AS "i_brand_id",
"iws"."i_class_id" AS "i_class_id",
"iws"."i_category_id" AS "i_category_id"
FROM "web_sales" AS "web_sales"
JOIN "date_dim" AS "d3"
ON "d3"."d_date_sk" = "web_sales"."ws_sold_date_sk"
AND "d3"."d_year" <= 2001
AND "d3"."d_year" >= 1999
JOIN "item" AS "iws"
ON "iws"."i_item_sk" = "web_sales"."ws_item_sk"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_year" <= 2001 AND "date_dim"."d_year" >= 1999
), "x" AS (
SELECT
"store_sales"."ss_quantity" AS "quantity",
"store_sales"."ss_list_price" AS "list_price"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
UNION ALL
SELECT
"catalog_sales"."cs_quantity" AS "quantity",
"catalog_sales"."cs_list_price" AS "list_price"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
UNION ALL
SELECT
"web_sales"."ws_quantity" AS "quantity",
"web_sales"."ws_list_price" AS "list_price"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
), "avg_sales" AS (
SELECT
AVG("x"."quantity" * "x"."list_price") AS "average_sales"
FROM "x" AS "x"
), "_u_1" AS (
SELECT
"avg_sales"."average_sales" AS "average_sales"
FROM "avg_sales" AS "avg_sales"
), "_u_0" AS (
SELECT
"item"."i_item_sk" AS "ss_item_sk"
FROM "item_2" AS "item"
JOIN "_q_0" AS "_q_0"
ON "_q_0"."brand_id" = "item"."i_brand_id"
AND "_q_0"."category_id" = "item"."i_category_id"
AND "_q_0"."class_id" = "item"."i_class_id"
GROUP BY
"item"."i_item_sk"
), "date_dim_3" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 11 AND "date_dim"."d_year" = 2001
), "y" AS (
SELECT
'store' AS "channel",
"item"."i_brand_id" AS "i_brand_id",
"item"."i_class_id" AS "i_class_id",
"item"."i_category_id" AS "i_category_id",
SUM("store_sales"."ss_quantity" * "store_sales"."ss_list_price") AS "sales",
COUNT(*) AS "number_sales"
FROM "store_sales" AS "store_sales"
CROSS JOIN "_u_1" AS "_u_1"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."ss_item_sk" = "store_sales"."ss_item_sk"
JOIN "date_dim_3" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
WHERE
NOT "_u_0"."ss_item_sk" IS NULL
GROUP BY
"item"."i_brand_id",
"item"."i_class_id",
"item"."i_category_id"
HAVING
MAX("_u_1"."average_sales") < SUM("store_sales"."ss_quantity" * "store_sales"."ss_list_price")
UNION ALL
SELECT
'catalog' AS "channel",
"item"."i_brand_id" AS "i_brand_id",
"item"."i_class_id" AS "i_class_id",
"item"."i_category_id" AS "i_category_id",
SUM("catalog_sales"."cs_quantity" * "catalog_sales"."cs_list_price") AS "sales",
COUNT(*) AS "number_sales"
FROM "catalog_sales" AS "catalog_sales"
CROSS JOIN "_u_1" AS "_u_3"
LEFT JOIN "_u_0" AS "_u_2"
ON "_u_2"."ss_item_sk" = "catalog_sales"."cs_item_sk"
JOIN "date_dim_3" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "item_2" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
WHERE
NOT "_u_2"."ss_item_sk" IS NULL
GROUP BY
"item"."i_brand_id",
"item"."i_class_id",
"item"."i_category_id"
HAVING
MAX("_u_3"."average_sales") < SUM("catalog_sales"."cs_quantity" * "catalog_sales"."cs_list_price")
UNION ALL
SELECT
'web' AS "channel",
"item"."i_brand_id" AS "i_brand_id",
"item"."i_class_id" AS "i_class_id",
"item"."i_category_id" AS "i_category_id",
SUM("web_sales"."ws_quantity" * "web_sales"."ws_list_price") AS "sales",
COUNT(*) AS "number_sales"
FROM "web_sales" AS "web_sales"
CROSS JOIN "_u_1" AS "_u_5"
LEFT JOIN "_u_0" AS "_u_4"
ON "_u_4"."ss_item_sk" = "web_sales"."ws_item_sk"
JOIN "date_dim_3" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
WHERE
NOT "_u_4"."ss_item_sk" IS NULL
GROUP BY
"item"."i_brand_id",
"item"."i_class_id",
"item"."i_category_id"
HAVING
MAX("_u_5"."average_sales") < SUM("web_sales"."ws_quantity" * "web_sales"."ws_list_price")
)
SELECT
"y"."channel" AS "channel",
"y"."i_brand_id" AS "i_brand_id",
"y"."i_class_id" AS "i_class_id",
"y"."i_category_id" AS "i_category_id",
SUM("y"."sales") AS "_col_4",
SUM("y"."number_sales") AS "_col_5"
FROM "y" AS "y"
GROUP BY
ROLLUP (
"y"."channel",
"y"."i_brand_id",
"y"."i_class_id",
"y"."i_category_id"
)
ORDER BY
"channel",
"i_brand_id",
"i_class_id",
"i_category_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 15
--------------------------------------
# execute: true
SELECT ca_zip,
Sum(cs_sales_price) AS "_col_1"
FROM catalog_sales,
customer,
customer_address,
date_dim
WHERE cs_bill_customer_sk = c_customer_sk
AND c_current_addr_sk = ca_address_sk
AND ( SUBSTRING(ca_zip, 1, 5) IN ( '85669', '86197', '88274', '83405',
'86475', '85392', '85460', '80348',
'81792' )
OR ca_state IN ( 'CA', 'WA', 'GA' )
OR cs_sales_price > 500 )
AND cs_sold_date_sk = d_date_sk
AND d_qoy = 1
AND d_year = 1998
GROUP BY ca_zip
ORDER BY ca_zip
LIMIT 100;
SELECT
"customer_address"."ca_zip" AS "ca_zip",
SUM("catalog_sales"."cs_sales_price") AS "_col_1"
FROM "catalog_sales" AS "catalog_sales"
JOIN "customer" AS "customer"
ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk"
JOIN "date_dim" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_qoy" = 1
AND "date_dim"."d_year" = 1998
JOIN "customer_address" AS "customer_address"
ON (
"catalog_sales"."cs_sales_price" > 500
OR "customer_address"."ca_state" IN ('CA', 'WA', 'GA')
OR SUBSTRING("customer_address"."ca_zip", 1, 5) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792')
)
AND "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
GROUP BY
"customer_address"."ca_zip"
ORDER BY
"ca_zip"
LIMIT 100;
--------------------------------------
-- TPC-DS 16
--------------------------------------
SELECT
Count(DISTINCT cs_order_number) AS "order count" ,
Sum(cs_ext_ship_cost) AS "total shipping cost" ,
Sum(cs_net_profit) AS "total net profit"
FROM catalog_sales cs1 ,
date_dim ,
customer_address ,
call_center
WHERE d_date BETWEEN '2002-3-01' AND (
Cast('2002-3-01' AS DATE) + INTERVAL '60' day)
AND cs1.cs_ship_date_sk = d_date_sk
AND cs1.cs_ship_addr_sk = ca_address_sk
AND ca_state = 'IA'
AND cs1.cs_call_center_sk = cc_call_center_sk
AND cc_county IN ('Williamson County',
'Williamson County',
'Williamson County',
'Williamson County',
'Williamson County' )
AND EXISTS
(
SELECT *
FROM catalog_sales cs2
WHERE cs1.cs_order_number = cs2.cs_order_number
AND cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
AND NOT EXISTS
(
SELECT *
FROM catalog_returns cr1
WHERE cs1.cs_order_number = cr1.cr_order_number)
ORDER BY count(DISTINCT cs_order_number)
LIMIT 100;
WITH "_u_0" AS (
SELECT
"cs2"."cs_order_number" AS "_u_1",
ARRAY_AGG("cs2"."cs_warehouse_sk") AS "_u_2"
FROM "catalog_sales" AS "cs2"
GROUP BY
"cs2"."cs_order_number"
), "_u_3" AS (
SELECT
"cr1"."cr_order_number" AS "_u_4"
FROM "catalog_returns" AS "cr1"
GROUP BY
"cr1"."cr_order_number"
)
SELECT
COUNT(DISTINCT "cs1"."cs_order_number") AS "order count",
SUM("cs1"."cs_ext_ship_cost") AS "total shipping cost",
SUM("cs1"."cs_net_profit") AS "total net profit"
FROM "catalog_sales" AS "cs1"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "cs1"."cs_order_number"
LEFT JOIN "_u_3" AS "_u_3"
ON "_u_3"."_u_4" = "cs1"."cs_order_number"
JOIN "call_center" AS "call_center"
ON "call_center"."cc_call_center_sk" = "cs1"."cs_call_center_sk"
AND "call_center"."cc_county" IN (
'Williamson County',
'Williamson County',
'Williamson County',
'Williamson County',
'Williamson County'
)
JOIN "customer_address" AS "customer_address"
ON "cs1"."cs_ship_addr_sk" = "customer_address"."ca_address_sk"
AND "customer_address"."ca_state" = 'IA'
JOIN "date_dim" AS "date_dim"
ON "cs1"."cs_ship_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_date" >= '2002-3-01'
AND (
CAST('2002-3-01' AS DATE) + INTERVAL '60' DAY
) >= CAST("date_dim"."d_date" AS DATE)
WHERE
"_u_3"."_u_4" IS NULL
AND ARRAY_ANY("_u_0"."_u_2", "_x" -> "cs1"."cs_warehouse_sk" <> "_x")
AND NOT "_u_0"."_u_1" IS NULL
ORDER BY
COUNT(DISTINCT "cs1"."cs_order_number")
LIMIT 100;
--------------------------------------
-- TPC-DS 17
--------------------------------------
# execute: true
SELECT i_item_id,
i_item_desc,
s_state,
Count(ss_quantity) AS
store_sales_quantitycount,
Avg(ss_quantity) AS
store_sales_quantityave,
Stddev_samp(ss_quantity) AS
store_sales_quantitystdev,
Stddev_samp(ss_quantity) / Avg(ss_quantity) AS
store_sales_quantitycov,
Count(sr_return_quantity) AS
store_returns_quantitycount,
Avg(sr_return_quantity) AS
store_returns_quantityave,
Stddev_samp(sr_return_quantity) AS
store_returns_quantitystdev,
Stddev_samp(sr_return_quantity) / Avg(sr_return_quantity) AS
store_returns_quantitycov,
Count(cs_quantity) AS
catalog_sales_quantitycount,
Avg(cs_quantity) AS
catalog_sales_quantityave,
Stddev_samp(cs_quantity) / Avg(cs_quantity) AS
catalog_sales_quantitystdev,
Stddev_samp(cs_quantity) / Avg(cs_quantity) AS
catalog_sales_quantitycov
FROM store_sales,
store_returns,
catalog_sales,
date_dim d1,
date_dim d2,
date_dim d3,
store,
item
WHERE d1.d_quarter_name = '1999Q1'
AND d1.d_date_sk = ss_sold_date_sk
AND i_item_sk = ss_item_sk
AND s_store_sk = ss_store_sk
AND ss_customer_sk = sr_customer_sk
AND ss_item_sk = sr_item_sk
AND ss_ticket_number = sr_ticket_number
AND sr_returned_date_sk = d2.d_date_sk
AND d2.d_quarter_name IN ( '1999Q1', '1999Q2', '1999Q3' )
AND sr_customer_sk = cs_bill_customer_sk
AND sr_item_sk = cs_item_sk
AND cs_sold_date_sk = d3.d_date_sk
AND d3.d_quarter_name IN ( '1999Q1', '1999Q2', '1999Q3' )
GROUP BY i_item_id,
i_item_desc,
s_state
ORDER BY i_item_id,
i_item_desc,
s_state
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
"item"."i_item_desc" AS "i_item_desc",
"store"."s_state" AS "s_state",
COUNT("store_sales"."ss_quantity") AS "store_sales_quantitycount",
AVG("store_sales"."ss_quantity") AS "store_sales_quantityave",
STDDEV_SAMP("store_sales"."ss_quantity") AS "store_sales_quantitystdev",
STDDEV_SAMP("store_sales"."ss_quantity") / AVG("store_sales"."ss_quantity") AS "store_sales_quantitycov",
COUNT("store_returns"."sr_return_quantity") AS "store_returns_quantitycount",
AVG("store_returns"."sr_return_quantity") AS "store_returns_quantityave",
STDDEV_SAMP("store_returns"."sr_return_quantity") AS "store_returns_quantitystdev",
STDDEV_SAMP("store_returns"."sr_return_quantity") / AVG("store_returns"."sr_return_quantity") AS "store_returns_quantitycov",
COUNT("catalog_sales"."cs_quantity") AS "catalog_sales_quantitycount",
AVG("catalog_sales"."cs_quantity") AS "catalog_sales_quantityave",
STDDEV_SAMP("catalog_sales"."cs_quantity") / AVG("catalog_sales"."cs_quantity") AS "catalog_sales_quantitystdev",
STDDEV_SAMP("catalog_sales"."cs_quantity") / AVG("catalog_sales"."cs_quantity") AS "catalog_sales_quantitycov"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "d1"."d_quarter_name" = '1999Q1'
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_customer_sk" = "store_sales"."ss_customer_sk"
AND "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
JOIN "catalog_sales" AS "catalog_sales"
ON "catalog_sales"."cs_bill_customer_sk" = "store_returns"."sr_customer_sk"
AND "catalog_sales"."cs_item_sk" = "store_returns"."sr_item_sk"
JOIN "date_dim" AS "d2"
ON "d2"."d_date_sk" = "store_returns"."sr_returned_date_sk"
AND "d2"."d_quarter_name" IN ('1999Q1', '1999Q2', '1999Q3')
JOIN "date_dim" AS "d3"
ON "catalog_sales"."cs_sold_date_sk" = "d3"."d_date_sk"
AND "d3"."d_quarter_name" IN ('1999Q1', '1999Q2', '1999Q3')
GROUP BY
"item"."i_item_id",
"item"."i_item_desc",
"store"."s_state"
ORDER BY
"i_item_id",
"i_item_desc",
"s_state"
LIMIT 100;
--------------------------------------
-- TPC-DS 18
--------------------------------------
SELECT i_item_id,
ca_country,
ca_state,
ca_county,
Avg(Cast(cs_quantity AS NUMERIC(12, 2))) agg1,
Avg(Cast(cs_list_price AS NUMERIC(12, 2))) agg2,
Avg(Cast(cs_coupon_amt AS NUMERIC(12, 2))) agg3,
Avg(Cast(cs_sales_price AS NUMERIC(12, 2))) agg4,
Avg(Cast(cs_net_profit AS NUMERIC(12, 2))) agg5,
Avg(Cast(c_birth_year AS NUMERIC(12, 2))) agg6,
Avg(Cast(cd1.cd_dep_count AS NUMERIC(12, 2))) agg7
FROM catalog_sales,
customer_demographics cd1,
customer_demographics cd2,
customer,
customer_address,
date_dim,
item
WHERE cs_sold_date_sk = d_date_sk
AND cs_item_sk = i_item_sk
AND cs_bill_cdemo_sk = cd1.cd_demo_sk
AND cs_bill_customer_sk = c_customer_sk
AND cd1.cd_gender = 'F'
AND cd1.cd_education_status = 'Secondary'
AND c_current_cdemo_sk = cd2.cd_demo_sk
AND c_current_addr_sk = ca_address_sk
AND c_birth_month IN ( 8, 4, 2, 5,
11, 9 )
AND d_year = 2001
AND ca_state IN ( 'KS', 'IA', 'AL', 'UT',
'VA', 'NC', 'TX' )
GROUP BY rollup ( i_item_id, ca_country, ca_state, ca_county )
ORDER BY ca_country,
ca_state,
ca_county,
i_item_id
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
"customer_address"."ca_country" AS "ca_country",
"customer_address"."ca_state" AS "ca_state",
"customer_address"."ca_county" AS "ca_county",
AVG(CAST("catalog_sales"."cs_quantity" AS DECIMAL(12, 2))) AS "agg1",
AVG(CAST("catalog_sales"."cs_list_price" AS DECIMAL(12, 2))) AS "agg2",
AVG(CAST("catalog_sales"."cs_coupon_amt" AS DECIMAL(12, 2))) AS "agg3",
AVG(CAST("catalog_sales"."cs_sales_price" AS DECIMAL(12, 2))) AS "agg4",
AVG(CAST("catalog_sales"."cs_net_profit" AS DECIMAL(12, 2))) AS "agg5",
AVG(CAST("customer"."c_birth_year" AS DECIMAL(12, 2))) AS "agg6",
AVG(CAST("cd1"."cd_dep_count" AS DECIMAL(12, 2))) AS "agg7"
FROM "catalog_sales" AS "catalog_sales"
JOIN "customer_demographics" AS "cd1"
ON "catalog_sales"."cs_bill_cdemo_sk" = "cd1"."cd_demo_sk"
AND "cd1"."cd_education_status" = 'Secondary'
AND "cd1"."cd_gender" = 'F'
JOIN "customer" AS "customer"
ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk"
AND "customer"."c_birth_month" IN (8, 4, 2, 5, 11, 9)
JOIN "date_dim" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_year" = 2001
JOIN "item" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
JOIN "customer_demographics" AS "cd2"
ON "cd2"."cd_demo_sk" = "customer"."c_current_cdemo_sk"
JOIN "customer_address" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
AND "customer_address"."ca_state" IN ('KS', 'IA', 'AL', 'UT', 'VA', 'NC', 'TX')
GROUP BY
ROLLUP (
"item"."i_item_id",
"customer_address"."ca_country",
"customer_address"."ca_state",
"customer_address"."ca_county"
)
ORDER BY
"ca_country",
"ca_state",
"ca_county",
"i_item_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 19
--------------------------------------
# execute: true
SELECT i_brand_id brand_id,
i_brand brand,
i_manufact_id,
i_manufact,
Sum(ss_ext_sales_price) ext_price
FROM date_dim,
store_sales,
item,
customer,
customer_address,
store
WHERE d_date_sk = ss_sold_date_sk
AND ss_item_sk = i_item_sk
AND i_manager_id = 38
AND d_moy = 12
AND d_year = 1998
AND ss_customer_sk = c_customer_sk
AND c_current_addr_sk = ca_address_sk
AND SUBSTRING(ca_zip, 1, 5) <> SUBSTRING(s_zip, 1, 5)
AND ss_store_sk = s_store_sk
GROUP BY i_brand,
i_brand_id,
i_manufact_id,
i_manufact
ORDER BY ext_price DESC,
i_brand,
i_brand_id,
i_manufact_id,
i_manufact
LIMIT 100;
SELECT
"item"."i_brand_id" AS "brand_id",
"item"."i_brand" AS "brand",
"item"."i_manufact_id" AS "i_manufact_id",
"item"."i_manufact" AS "i_manufact",
SUM("store_sales"."ss_ext_sales_price") AS "ext_price"
FROM "date_dim" AS "date_dim"
JOIN "store_sales" AS "store_sales"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk" AND "item"."i_manager_id" = 38
JOIN "customer_address" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
AND SUBSTRING("customer_address"."ca_zip", 1, 5) <> SUBSTRING("store"."s_zip", 1, 5)
WHERE
"date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 1998
GROUP BY
"item"."i_brand",
"item"."i_brand_id",
"item"."i_manufact_id",
"item"."i_manufact"
ORDER BY
"ext_price" DESC,
"brand",
"brand_id",
"i_manufact_id",
"i_manufact"
LIMIT 100;
--------------------------------------
-- TPC-DS 20
--------------------------------------
SELECT
i_item_id ,
i_item_desc ,
i_category ,
i_class ,
i_current_price ,
Sum(cs_ext_sales_price) AS itemrevenue ,
Sum(cs_ext_sales_price)*100/Sum(Sum(cs_ext_sales_price)) OVER (partition BY i_class) AS revenueratio
FROM catalog_sales ,
item ,
date_dim
WHERE cs_item_sk = i_item_sk
AND i_category IN ('Children',
'Women',
'Electronics')
AND cs_sold_date_sk = d_date_sk
AND d_date BETWEEN Cast('2001-02-03' AS DATE) AND (
Cast('2001-02-03' AS DATE) + INTERVAL '30' day)
GROUP BY i_item_id ,
i_item_desc ,
i_category ,
i_class ,
i_current_price
ORDER BY i_category ,
i_class ,
i_item_id ,
i_item_desc ,
revenueratio
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
"item"."i_item_desc" AS "i_item_desc",
"item"."i_category" AS "i_category",
"item"."i_class" AS "i_class",
"item"."i_current_price" AS "i_current_price",
SUM("catalog_sales"."cs_ext_sales_price") AS "itemrevenue",
SUM("catalog_sales"."cs_ext_sales_price") * 100 / SUM(SUM("catalog_sales"."cs_ext_sales_price")) OVER (PARTITION BY "item"."i_class") AS "revenueratio"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
AND CAST("date_dim"."d_date" AS DATE) <= CAST('2001-03-05' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('2001-02-03' AS DATE)
JOIN "item" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
AND "item"."i_category" IN ('Children', 'Women', 'Electronics')
GROUP BY
"item"."i_item_id",
"item"."i_item_desc",
"item"."i_category",
"item"."i_class",
"item"."i_current_price"
ORDER BY
"i_category",
"i_class",
"i_item_id",
"i_item_desc",
"revenueratio"
LIMIT 100;
--------------------------------------
-- TPC-DS 21
--------------------------------------
SELECT
*
FROM (
SELECT w_warehouse_name ,
i_item_id ,
Sum(
CASE
WHEN (
Cast(d_date AS DATE) < Cast ('2000-05-13' AS DATE)) THEN inv_quantity_on_hand
ELSE 0
END) AS inv_before ,
Sum(
CASE
WHEN (
Cast(d_date AS DATE) >= Cast ('2000-05-13' AS DATE)) THEN inv_quantity_on_hand
ELSE 0
END) AS inv_after
FROM inventory ,
warehouse ,
item ,
date_dim
WHERE i_current_price BETWEEN 0.99 AND 1.49
AND i_item_sk = inv_item_sk
AND inv_warehouse_sk = w_warehouse_sk
AND inv_date_sk = d_date_sk
AND d_date BETWEEN (Cast ('2000-05-13' AS DATE) - INTERVAL '30' day) AND (
cast ('2000-05-13' AS date) + INTERVAL '30' day)
GROUP BY w_warehouse_name,
i_item_id) x
WHERE (
CASE
WHEN inv_before > 0 THEN inv_after / inv_before
ELSE NULL
END) BETWEEN 2.0/3.0 AND 3.0/2.0
ORDER BY w_warehouse_name ,
i_item_id
LIMIT 100;
WITH "x" AS (
SELECT
"warehouse"."w_warehouse_name" AS "w_warehouse_name",
"item"."i_item_id" AS "i_item_id",
SUM(
CASE
WHEN CAST("date_dim"."d_date" AS DATE) < CAST('2000-05-13' AS DATE)
THEN "inventory"."inv_quantity_on_hand"
ELSE 0
END
) AS "inv_before",
SUM(
CASE
WHEN CAST("date_dim"."d_date" AS DATE) >= CAST('2000-05-13' AS DATE)
THEN "inventory"."inv_quantity_on_hand"
ELSE 0
END
) AS "inv_after"
FROM "inventory" AS "inventory"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "inventory"."inv_date_sk"
AND CAST("date_dim"."d_date" AS DATE) <= CAST('2000-06-12' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('2000-04-13' AS DATE)
JOIN "item" AS "item"
ON "inventory"."inv_item_sk" = "item"."i_item_sk"
AND "item"."i_current_price" <= 1.49
AND "item"."i_current_price" >= 0.99
JOIN "warehouse" AS "warehouse"
ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk"
GROUP BY
"warehouse"."w_warehouse_name",
"item"."i_item_id"
)
SELECT
"x"."w_warehouse_name" AS "w_warehouse_name",
"x"."i_item_id" AS "i_item_id",
"x"."inv_before" AS "inv_before",
"x"."inv_after" AS "inv_after"
FROM "x" AS "x"
WHERE
CASE WHEN "x"."inv_before" > 0 THEN "x"."inv_after" / "x"."inv_before" ELSE NULL END <= 1.5
AND CASE WHEN "x"."inv_before" > 0 THEN "x"."inv_after" / "x"."inv_before" ELSE NULL END >= 0.6666666666666666666666666667
ORDER BY
"x"."w_warehouse_name",
"x"."i_item_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 22
--------------------------------------
SELECT i_product_name,
i_brand,
i_class,
i_category,
Avg(inv_quantity_on_hand) qoh
FROM inventory,
date_dim,
item,
warehouse
WHERE inv_date_sk = d_date_sk
AND inv_item_sk = i_item_sk
AND inv_warehouse_sk = w_warehouse_sk
AND d_month_seq BETWEEN 1205 AND 1205 + 11
GROUP BY rollup( i_product_name, i_brand, i_class, i_category )
ORDER BY qoh,
i_product_name,
i_brand,
i_class,
i_category
LIMIT 100;
SELECT
"item"."i_product_name" AS "i_product_name",
"item"."i_brand" AS "i_brand",
"item"."i_class" AS "i_class",
"item"."i_category" AS "i_category",
AVG("inventory"."inv_quantity_on_hand") AS "qoh"
FROM "inventory" AS "inventory"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "inventory"."inv_date_sk"
AND "date_dim"."d_month_seq" <= 1216
AND "date_dim"."d_month_seq" >= 1205
JOIN "item" AS "item"
ON "inventory"."inv_item_sk" = "item"."i_item_sk"
JOIN "warehouse" AS "warehouse"
ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk"
GROUP BY
ROLLUP (
"item"."i_product_name",
"item"."i_brand",
"item"."i_class",
"item"."i_category"
)
ORDER BY
"qoh",
"i_product_name",
"i_brand",
"i_class",
"i_category"
LIMIT 100;
--------------------------------------
-- TPC-DS 23
--------------------------------------
# execute: true
WITH frequent_ss_items
AS (SELECT SUBSTRING(i_item_desc, 1, 30) itemdesc,
i_item_sk item_sk,
d_date solddate,
Count(*) cnt
FROM store_sales,
date_dim,
item
WHERE ss_sold_date_sk = d_date_sk
AND ss_item_sk = i_item_sk
AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 )
GROUP BY SUBSTRING(i_item_desc, 1, 30),
i_item_sk,
d_date
HAVING Count(*) > 4),
max_store_sales
AS (SELECT Max(csales) tpcds_cmax
FROM (SELECT c_customer_sk,
Sum(ss_quantity * ss_sales_price) csales
FROM store_sales,
customer,
date_dim
WHERE ss_customer_sk = c_customer_sk
AND ss_sold_date_sk = d_date_sk
AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 )
GROUP BY c_customer_sk)),
best_ss_customer
AS (SELECT c_customer_sk,
Sum(ss_quantity * ss_sales_price) ssales
FROM store_sales,
customer
WHERE ss_customer_sk = c_customer_sk
GROUP BY c_customer_sk
HAVING Sum(ss_quantity * ss_sales_price) >
( 95 / 100.0 ) * (SELECT *
FROM max_store_sales))
SELECT Sum(sales) AS "_col_0"
FROM (SELECT cs_quantity * cs_list_price sales
FROM catalog_sales,
date_dim
WHERE d_year = 1998
AND d_moy = 6
AND cs_sold_date_sk = d_date_sk
AND cs_item_sk IN (SELECT item_sk
FROM frequent_ss_items)
AND cs_bill_customer_sk IN (SELECT c_customer_sk
FROM best_ss_customer)
UNION ALL
SELECT ws_quantity * ws_list_price sales
FROM web_sales,
date_dim
WHERE d_year = 1998
AND d_moy = 6
AND ws_sold_date_sk = d_date_sk
AND ws_item_sk IN (SELECT item_sk
FROM frequent_ss_items)
AND ws_bill_customer_sk IN (SELECT c_customer_sk
FROM best_ss_customer)) LIMIT 100;
WITH "frequent_ss_items" AS (
SELECT
"item"."i_item_sk" AS "item_sk"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" IN (1998, 1999, 2000, 2001)
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
GROUP BY
SUBSTRING("item"."i_item_desc", 1, 30),
"item"."i_item_sk",
"date_dim"."d_date"
HAVING
COUNT(*) > 4
), "customer_2" AS (
SELECT
"customer"."c_customer_sk" AS "c_customer_sk"
FROM "customer" AS "customer"
), "_q_0" AS (
SELECT
SUM("store_sales"."ss_quantity" * "store_sales"."ss_sales_price") AS "csales"
FROM "store_sales" AS "store_sales"
JOIN "customer_2" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" IN (1998, 1999, 2000, 2001)
GROUP BY
"customer"."c_customer_sk"
), "max_store_sales" AS (
SELECT
MAX("_q_0"."csales") AS "tpcds_cmax"
FROM "_q_0" AS "_q_0"
), "best_ss_customer" AS (
SELECT
"customer"."c_customer_sk" AS "c_customer_sk"
FROM "store_sales" AS "store_sales"
CROSS JOIN "max_store_sales" AS "max_store_sales"
JOIN "customer_2" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
GROUP BY
"customer"."c_customer_sk"
HAVING
0.95 * MAX("max_store_sales"."tpcds_cmax") < SUM("store_sales"."ss_quantity" * "store_sales"."ss_sales_price")
), "_u_1" AS (
SELECT
"frequent_ss_items"."item_sk" AS "item_sk"
FROM "frequent_ss_items" AS "frequent_ss_items"
GROUP BY
"frequent_ss_items"."item_sk"
), "_u_2" AS (
SELECT
"best_ss_customer"."c_customer_sk" AS "c_customer_sk"
FROM "best_ss_customer" AS "best_ss_customer"
GROUP BY
"best_ss_customer"."c_customer_sk"
), "date_dim_4" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 6 AND "date_dim"."d_year" = 1998
), "_q_1" AS (
SELECT
"catalog_sales"."cs_quantity" * "catalog_sales"."cs_list_price" AS "sales"
FROM "catalog_sales" AS "catalog_sales"
LEFT JOIN "_u_1" AS "_u_1"
ON "_u_1"."item_sk" = "catalog_sales"."cs_item_sk"
LEFT JOIN "_u_2" AS "_u_2"
ON "_u_2"."c_customer_sk" = "catalog_sales"."cs_bill_customer_sk"
JOIN "date_dim_4" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
WHERE
NOT "_u_1"."item_sk" IS NULL AND NOT "_u_2"."c_customer_sk" IS NULL
UNION ALL
SELECT
"web_sales"."ws_quantity" * "web_sales"."ws_list_price" AS "sales"
FROM "web_sales" AS "web_sales"
LEFT JOIN "_u_1" AS "_u_3"
ON "_u_3"."item_sk" = "web_sales"."ws_item_sk"
LEFT JOIN "_u_2" AS "_u_4"
ON "_u_4"."c_customer_sk" = "web_sales"."ws_bill_customer_sk"
JOIN "date_dim_4" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
WHERE
NOT "_u_3"."item_sk" IS NULL AND NOT "_u_4"."c_customer_sk" IS NULL
)
SELECT
SUM("_q_1"."sales") AS "_col_0"
FROM "_q_1" AS "_q_1"
LIMIT 100;
--------------------------------------
-- TPC-DS 24
--------------------------------------
# execute: true
WITH ssales
AS (SELECT c_last_name,
c_first_name,
s_store_name,
ca_state,
s_state,
i_color,
i_current_price,
i_manager_id,
i_units,
i_size,
Sum(ss_net_profit) netpaid
FROM store_sales,
store_returns,
store,
item,
customer,
customer_address
WHERE ss_ticket_number = sr_ticket_number
AND ss_item_sk = sr_item_sk
AND ss_customer_sk = c_customer_sk
AND ss_item_sk = i_item_sk
AND ss_store_sk = s_store_sk
AND c_birth_country = Upper(ca_country)
AND s_zip = ca_zip
AND s_market_id = 6
GROUP BY c_last_name,
c_first_name,
s_store_name,
ca_state,
s_state,
i_color,
i_current_price,
i_manager_id,
i_units,
i_size)
SELECT c_last_name,
c_first_name,
s_store_name,
Sum(netpaid) paid
FROM ssales
WHERE i_color = 'papaya'
GROUP BY c_last_name,
c_first_name,
s_store_name
HAVING Sum(netpaid) > (SELECT 0.05 * Avg(netpaid)
FROM ssales);
WITH "ssales" AS (
SELECT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"store"."s_store_name" AS "s_store_name",
"item"."i_color" AS "i_color",
SUM("store_sales"."ss_net_profit") AS "netpaid"
FROM "store_sales" AS "store_sales"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "store" AS "store"
ON "store"."s_market_id" = 6 AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
JOIN "customer_address" AS "customer_address"
ON "customer"."c_birth_country" = UPPER("customer_address"."ca_country")
AND "customer_address"."ca_zip" = "store"."s_zip"
GROUP BY
"customer"."c_last_name",
"customer"."c_first_name",
"store"."s_store_name",
"customer_address"."ca_state",
"store"."s_state",
"item"."i_color",
"item"."i_current_price",
"item"."i_manager_id",
"item"."i_units",
"item"."i_size"
), "_u_0" AS (
SELECT
0.05 * AVG("ssales"."netpaid") AS "_col_0"
FROM "ssales" AS "ssales"
)
SELECT
"ssales"."c_last_name" AS "c_last_name",
"ssales"."c_first_name" AS "c_first_name",
"ssales"."s_store_name" AS "s_store_name",
SUM("ssales"."netpaid") AS "paid"
FROM "ssales" AS "ssales"
CROSS JOIN "_u_0" AS "_u_0"
WHERE
"ssales"."i_color" = 'papaya'
GROUP BY
"ssales"."c_last_name",
"ssales"."c_first_name",
"ssales"."s_store_name"
HAVING
MAX("_u_0"."_col_0") < SUM("ssales"."netpaid");
--------------------------------------
-- TPC-DS 25
--------------------------------------
# execute: true
SELECT i_item_id,
i_item_desc,
s_store_id,
s_store_name,
Max(ss_net_profit) AS store_sales_profit,
Max(sr_net_loss) AS store_returns_loss,
Max(cs_net_profit) AS catalog_sales_profit
FROM store_sales,
store_returns,
catalog_sales,
date_dim d1,
date_dim d2,
date_dim d3,
store,
item
WHERE d1.d_moy = 4
AND d1.d_year = 2001
AND d1.d_date_sk = ss_sold_date_sk
AND i_item_sk = ss_item_sk
AND s_store_sk = ss_store_sk
AND ss_customer_sk = sr_customer_sk
AND ss_item_sk = sr_item_sk
AND ss_ticket_number = sr_ticket_number
AND sr_returned_date_sk = d2.d_date_sk
AND d2.d_moy BETWEEN 4 AND 10
AND d2.d_year = 2001
AND sr_customer_sk = cs_bill_customer_sk
AND sr_item_sk = cs_item_sk
AND cs_sold_date_sk = d3.d_date_sk
AND d3.d_moy BETWEEN 4 AND 10
AND d3.d_year = 2001
GROUP BY i_item_id,
i_item_desc,
s_store_id,
s_store_name
ORDER BY i_item_id,
i_item_desc,
s_store_id,
s_store_name
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
"item"."i_item_desc" AS "i_item_desc",
"store"."s_store_id" AS "s_store_id",
"store"."s_store_name" AS "s_store_name",
MAX("store_sales"."ss_net_profit") AS "store_sales_profit",
MAX("store_returns"."sr_net_loss") AS "store_returns_loss",
MAX("catalog_sales"."cs_net_profit") AS "catalog_sales_profit"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "d1"."d_moy" = 4
AND "d1"."d_year" = 2001
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_customer_sk" = "store_sales"."ss_customer_sk"
AND "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
JOIN "catalog_sales" AS "catalog_sales"
ON "catalog_sales"."cs_bill_customer_sk" = "store_returns"."sr_customer_sk"
AND "catalog_sales"."cs_item_sk" = "store_returns"."sr_item_sk"
JOIN "date_dim" AS "d2"
ON "d2"."d_date_sk" = "store_returns"."sr_returned_date_sk"
AND "d2"."d_moy" <= 10
AND "d2"."d_moy" >= 4
AND "d2"."d_year" = 2001
JOIN "date_dim" AS "d3"
ON "catalog_sales"."cs_sold_date_sk" = "d3"."d_date_sk"
AND "d3"."d_moy" <= 10
AND "d3"."d_moy" >= 4
AND "d3"."d_year" = 2001
GROUP BY
"item"."i_item_id",
"item"."i_item_desc",
"store"."s_store_id",
"store"."s_store_name"
ORDER BY
"i_item_id",
"i_item_desc",
"s_store_id",
"s_store_name"
LIMIT 100;
--------------------------------------
-- TPC-DS 26
--------------------------------------
# execute: true
SELECT i_item_id,
Avg(cs_quantity) agg1,
Avg(cs_list_price) agg2,
Avg(cs_coupon_amt) agg3,
Avg(cs_sales_price) agg4
FROM catalog_sales,
customer_demographics,
date_dim,
item,
promotion
WHERE cs_sold_date_sk = d_date_sk
AND cs_item_sk = i_item_sk
AND cs_bill_cdemo_sk = cd_demo_sk
AND cs_promo_sk = p_promo_sk
AND cd_gender = 'F'
AND cd_marital_status = 'W'
AND cd_education_status = 'Secondary'
AND ( p_channel_email = 'N'
OR p_channel_event = 'N' )
AND d_year = 2000
GROUP BY i_item_id
ORDER BY i_item_id
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
AVG("catalog_sales"."cs_quantity") AS "agg1",
AVG("catalog_sales"."cs_list_price") AS "agg2",
AVG("catalog_sales"."cs_coupon_amt") AS "agg3",
AVG("catalog_sales"."cs_sales_price") AS "agg4"
FROM "catalog_sales" AS "catalog_sales"
JOIN "customer_demographics" AS "customer_demographics"
ON "catalog_sales"."cs_bill_cdemo_sk" = "customer_demographics"."cd_demo_sk"
AND "customer_demographics"."cd_education_status" = 'Secondary'
AND "customer_demographics"."cd_gender" = 'F'
AND "customer_demographics"."cd_marital_status" = 'W'
JOIN "date_dim" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_year" = 2000
JOIN "item" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
JOIN "promotion" AS "promotion"
ON "catalog_sales"."cs_promo_sk" = "promotion"."p_promo_sk"
AND (
"promotion"."p_channel_email" = 'N' OR "promotion"."p_channel_event" = 'N'
)
GROUP BY
"item"."i_item_id"
ORDER BY
"i_item_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 27
--------------------------------------
SELECT i_item_id,
s_state,
Grouping(s_state) g_state,
Avg(ss_quantity) agg1,
Avg(ss_list_price) agg2,
Avg(ss_coupon_amt) agg3,
Avg(ss_sales_price) agg4
FROM store_sales,
customer_demographics,
date_dim,
store,
item
WHERE ss_sold_date_sk = d_date_sk
AND ss_item_sk = i_item_sk
AND ss_store_sk = s_store_sk
AND ss_cdemo_sk = cd_demo_sk
AND cd_gender = 'M'
AND cd_marital_status = 'D'
AND cd_education_status = 'College'
AND d_year = 2000
AND s_state IN ( 'TN', 'TN', 'TN', 'TN',
'TN', 'TN' )
GROUP BY rollup ( i_item_id, s_state )
ORDER BY i_item_id,
s_state
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
"store"."s_state" AS "s_state",
GROUPING("store"."s_state") AS "g_state",
AVG("store_sales"."ss_quantity") AS "agg1",
AVG("store_sales"."ss_list_price") AS "agg2",
AVG("store_sales"."ss_coupon_amt") AS "agg3",
AVG("store_sales"."ss_sales_price") AS "agg4"
FROM "store_sales" AS "store_sales"
JOIN "customer_demographics" AS "customer_demographics"
ON "customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "customer_demographics"."cd_education_status" = 'College'
AND "customer_demographics"."cd_gender" = 'M'
AND "customer_demographics"."cd_marital_status" = 'D'
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" = 2000
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "store" AS "store"
ON "store"."s_state" IN ('TN', 'TN', 'TN', 'TN', 'TN', 'TN')
AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
ROLLUP (
"item"."i_item_id",
"store"."s_state"
)
ORDER BY
"i_item_id",
"s_state"
LIMIT 100;
--------------------------------------
-- TPC-DS 28
--------------------------------------
SELECT *
FROM (SELECT Avg(ss_list_price) b1_lp,
Count(ss_list_price) b1_cnt,
Count(DISTINCT ss_list_price) b1_cntd
FROM store_sales
WHERE ss_quantity BETWEEN 0 AND 5
AND ( ss_list_price BETWEEN 18 AND 18 + 10
OR ss_coupon_amt BETWEEN 1939 AND 1939 + 1000
OR ss_wholesale_cost BETWEEN 34 AND 34 + 20 )) B1,
(SELECT Avg(ss_list_price) b2_lp,
Count(ss_list_price) b2_cnt,
Count(DISTINCT ss_list_price) b2_cntd
FROM store_sales
WHERE ss_quantity BETWEEN 6 AND 10
AND ( ss_list_price BETWEEN 1 AND 1 + 10
OR ss_coupon_amt BETWEEN 35 AND 35 + 1000
OR ss_wholesale_cost BETWEEN 50 AND 50 + 20 )) B2,
(SELECT Avg(ss_list_price) b3_lp,
Count(ss_list_price) b3_cnt,
Count(DISTINCT ss_list_price) b3_cntd
FROM store_sales
WHERE ss_quantity BETWEEN 11 AND 15
AND ( ss_list_price BETWEEN 91 AND 91 + 10
OR ss_coupon_amt BETWEEN 1412 AND 1412 + 1000
OR ss_wholesale_cost BETWEEN 17 AND 17 + 20 )) B3,
(SELECT Avg(ss_list_price) b4_lp,
Count(ss_list_price) b4_cnt,
Count(DISTINCT ss_list_price) b4_cntd
FROM store_sales
WHERE ss_quantity BETWEEN 16 AND 20
AND ( ss_list_price BETWEEN 9 AND 9 + 10
OR ss_coupon_amt BETWEEN 5270 AND 5270 + 1000
OR ss_wholesale_cost BETWEEN 29 AND 29 + 20 )) B4,
(SELECT Avg(ss_list_price) b5_lp,
Count(ss_list_price) b5_cnt,
Count(DISTINCT ss_list_price) b5_cntd
FROM store_sales
WHERE ss_quantity BETWEEN 21 AND 25
AND ( ss_list_price BETWEEN 45 AND 45 + 10
OR ss_coupon_amt BETWEEN 826 AND 826 + 1000
OR ss_wholesale_cost BETWEEN 5 AND 5 + 20 )) B5,
(SELECT Avg(ss_list_price) b6_lp,
Count(ss_list_price) b6_cnt,
Count(DISTINCT ss_list_price) b6_cntd
FROM store_sales
WHERE ss_quantity BETWEEN 26 AND 30
AND ( ss_list_price BETWEEN 174 AND 174 + 10
OR ss_coupon_amt BETWEEN 5548 AND 5548 + 1000
OR ss_wholesale_cost BETWEEN 42 AND 42 + 20 )) B6
LIMIT 100;
WITH "b1" AS (
SELECT
AVG("store_sales"."ss_list_price") AS "b1_lp",
COUNT("store_sales"."ss_list_price") AS "b1_cnt",
COUNT(DISTINCT "store_sales"."ss_list_price") AS "b1_cntd"
FROM "store_sales" AS "store_sales"
WHERE
(
"store_sales"."ss_coupon_amt" <= 2939
AND "store_sales"."ss_coupon_amt" >= 1939
OR "store_sales"."ss_list_price" <= 28
AND "store_sales"."ss_list_price" >= 18
OR "store_sales"."ss_wholesale_cost" <= 54
AND "store_sales"."ss_wholesale_cost" >= 34
)
AND "store_sales"."ss_quantity" <= 5
AND "store_sales"."ss_quantity" >= 0
), "b2" AS (
SELECT
AVG("store_sales"."ss_list_price") AS "b2_lp",
COUNT("store_sales"."ss_list_price") AS "b2_cnt",
COUNT(DISTINCT "store_sales"."ss_list_price") AS "b2_cntd"
FROM "store_sales" AS "store_sales"
WHERE
(
"store_sales"."ss_coupon_amt" <= 1035
AND "store_sales"."ss_coupon_amt" >= 35
OR "store_sales"."ss_list_price" <= 11
AND "store_sales"."ss_list_price" >= 1
OR "store_sales"."ss_wholesale_cost" <= 70
AND "store_sales"."ss_wholesale_cost" >= 50
)
AND "store_sales"."ss_quantity" <= 10
AND "store_sales"."ss_quantity" >= 6
), "b3" AS (
SELECT
AVG("store_sales"."ss_list_price") AS "b3_lp",
COUNT("store_sales"."ss_list_price") AS "b3_cnt",
COUNT(DISTINCT "store_sales"."ss_list_price") AS "b3_cntd"
FROM "store_sales" AS "store_sales"
WHERE
(
"store_sales"."ss_coupon_amt" <= 2412
AND "store_sales"."ss_coupon_amt" >= 1412
OR "store_sales"."ss_list_price" <= 101
AND "store_sales"."ss_list_price" >= 91
OR "store_sales"."ss_wholesale_cost" <= 37
AND "store_sales"."ss_wholesale_cost" >= 17
)
AND "store_sales"."ss_quantity" <= 15
AND "store_sales"."ss_quantity" >= 11
), "b4" AS (
SELECT
AVG("store_sales"."ss_list_price") AS "b4_lp",
COUNT("store_sales"."ss_list_price") AS "b4_cnt",
COUNT(DISTINCT "store_sales"."ss_list_price") AS "b4_cntd"
FROM "store_sales" AS "store_sales"
WHERE
(
"store_sales"."ss_coupon_amt" <= 6270
AND "store_sales"."ss_coupon_amt" >= 5270
OR "store_sales"."ss_list_price" <= 19
AND "store_sales"."ss_list_price" >= 9
OR "store_sales"."ss_wholesale_cost" <= 49
AND "store_sales"."ss_wholesale_cost" >= 29
)
AND "store_sales"."ss_quantity" <= 20
AND "store_sales"."ss_quantity" >= 16
), "b5" AS (
SELECT
AVG("store_sales"."ss_list_price") AS "b5_lp",
COUNT("store_sales"."ss_list_price") AS "b5_cnt",
COUNT(DISTINCT "store_sales"."ss_list_price") AS "b5_cntd"
FROM "store_sales" AS "store_sales"
WHERE
(
"store_sales"."ss_coupon_amt" <= 1826
AND "store_sales"."ss_coupon_amt" >= 826
OR "store_sales"."ss_list_price" <= 55
AND "store_sales"."ss_list_price" >= 45
OR "store_sales"."ss_wholesale_cost" <= 25
AND "store_sales"."ss_wholesale_cost" >= 5
)
AND "store_sales"."ss_quantity" <= 25
AND "store_sales"."ss_quantity" >= 21
), "b6" AS (
SELECT
AVG("store_sales"."ss_list_price") AS "b6_lp",
COUNT("store_sales"."ss_list_price") AS "b6_cnt",
COUNT(DISTINCT "store_sales"."ss_list_price") AS "b6_cntd"
FROM "store_sales" AS "store_sales"
WHERE
(
"store_sales"."ss_coupon_amt" <= 6548
AND "store_sales"."ss_coupon_amt" >= 5548
OR "store_sales"."ss_list_price" <= 184
AND "store_sales"."ss_list_price" >= 174
OR "store_sales"."ss_wholesale_cost" <= 62
AND "store_sales"."ss_wholesale_cost" >= 42
)
AND "store_sales"."ss_quantity" <= 30
AND "store_sales"."ss_quantity" >= 26
)
SELECT
"b1"."b1_lp" AS "b1_lp",
"b1"."b1_cnt" AS "b1_cnt",
"b1"."b1_cntd" AS "b1_cntd",
"b2"."b2_lp" AS "b2_lp",
"b2"."b2_cnt" AS "b2_cnt",
"b2"."b2_cntd" AS "b2_cntd",
"b3"."b3_lp" AS "b3_lp",
"b3"."b3_cnt" AS "b3_cnt",
"b3"."b3_cntd" AS "b3_cntd",
"b4"."b4_lp" AS "b4_lp",
"b4"."b4_cnt" AS "b4_cnt",
"b4"."b4_cntd" AS "b4_cntd",
"b5"."b5_lp" AS "b5_lp",
"b5"."b5_cnt" AS "b5_cnt",
"b5"."b5_cntd" AS "b5_cntd",
"b6"."b6_lp" AS "b6_lp",
"b6"."b6_cnt" AS "b6_cnt",
"b6"."b6_cntd" AS "b6_cntd"
FROM "b1" AS "b1"
CROSS JOIN "b2" AS "b2"
CROSS JOIN "b3" AS "b3"
CROSS JOIN "b4" AS "b4"
CROSS JOIN "b5" AS "b5"
CROSS JOIN "b6" AS "b6"
LIMIT 100;
--------------------------------------
-- TPC-DS 29
--------------------------------------
# execute: true
SELECT i_item_id,
i_item_desc,
s_store_id,
s_store_name,
Avg(ss_quantity) AS store_sales_quantity,
Avg(sr_return_quantity) AS store_returns_quantity,
Avg(cs_quantity) AS catalog_sales_quantity
FROM store_sales,
store_returns,
catalog_sales,
date_dim d1,
date_dim d2,
date_dim d3,
store,
item
WHERE d1.d_moy = 4
AND d1.d_year = 1998
AND d1.d_date_sk = ss_sold_date_sk
AND i_item_sk = ss_item_sk
AND s_store_sk = ss_store_sk
AND ss_customer_sk = sr_customer_sk
AND ss_item_sk = sr_item_sk
AND ss_ticket_number = sr_ticket_number
AND sr_returned_date_sk = d2.d_date_sk
AND d2.d_moy BETWEEN 4 AND 4 + 3
AND d2.d_year = 1998
AND sr_customer_sk = cs_bill_customer_sk
AND sr_item_sk = cs_item_sk
AND cs_sold_date_sk = d3.d_date_sk
AND d3.d_year IN ( 1998, 1998 + 1, 1998 + 2 )
GROUP BY i_item_id,
i_item_desc,
s_store_id,
s_store_name
ORDER BY i_item_id,
i_item_desc,
s_store_id,
s_store_name
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
"item"."i_item_desc" AS "i_item_desc",
"store"."s_store_id" AS "s_store_id",
"store"."s_store_name" AS "s_store_name",
AVG("store_sales"."ss_quantity") AS "store_sales_quantity",
AVG("store_returns"."sr_return_quantity") AS "store_returns_quantity",
AVG("catalog_sales"."cs_quantity") AS "catalog_sales_quantity"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "d1"."d_moy" = 4
AND "d1"."d_year" = 1998
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_customer_sk" = "store_sales"."ss_customer_sk"
AND "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
JOIN "catalog_sales" AS "catalog_sales"
ON "catalog_sales"."cs_bill_customer_sk" = "store_returns"."sr_customer_sk"
AND "catalog_sales"."cs_item_sk" = "store_returns"."sr_item_sk"
JOIN "date_dim" AS "d2"
ON "d2"."d_date_sk" = "store_returns"."sr_returned_date_sk"
AND "d2"."d_moy" <= 7
AND "d2"."d_moy" >= 4
AND "d2"."d_year" = 1998
JOIN "date_dim" AS "d3"
ON "catalog_sales"."cs_sold_date_sk" = "d3"."d_date_sk"
AND "d3"."d_year" IN (1998, 1999, 2000)
GROUP BY
"item"."i_item_id",
"item"."i_item_desc",
"store"."s_store_id",
"store"."s_store_name"
ORDER BY
"i_item_id",
"i_item_desc",
"s_store_id",
"s_store_name"
LIMIT 100;
--------------------------------------
-- TPC-DS 30
--------------------------------------
WITH customer_total_return
AS (SELECT wr_returning_customer_sk AS ctr_customer_sk,
ca_state AS ctr_state,
Sum(wr_return_amt) AS ctr_total_return
FROM web_returns,
date_dim,
customer_address
WHERE wr_returned_date_sk = d_date_sk
AND d_year = 2000
AND wr_returning_addr_sk = ca_address_sk
GROUP BY wr_returning_customer_sk,
ca_state)
SELECT c_customer_id,
c_salutation,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_day,
c_birth_month,
c_birth_year,
c_birth_country,
c_login,
c_email_address,
c_last_review_date,
ctr_total_return
FROM customer_total_return ctr1,
customer_address,
customer
WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2
FROM customer_total_return ctr2
WHERE ctr1.ctr_state = ctr2.ctr_state)
AND ca_address_sk = c_current_addr_sk
AND ca_state = 'IN'
AND ctr1.ctr_customer_sk = c_customer_sk
ORDER BY c_customer_id,
c_salutation,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_day,
c_birth_month,
c_birth_year,
c_birth_country,
c_login,
c_email_address,
c_last_review_date,
ctr_total_return
LIMIT 100;
WITH "customer_total_return" AS (
SELECT
"web_returns"."wr_returning_customer_sk" AS "ctr_customer_sk",
"customer_address"."ca_state" AS "ctr_state",
SUM("web_returns"."wr_return_amt") AS "ctr_total_return"
FROM "web_returns" AS "web_returns"
JOIN "customer_address" AS "customer_address"
ON "customer_address"."ca_address_sk" = "web_returns"."wr_returning_addr_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_returns"."wr_returned_date_sk"
AND "date_dim"."d_year" = 2000
GROUP BY
"web_returns"."wr_returning_customer_sk",
"customer_address"."ca_state"
), "_u_0" AS (
SELECT
AVG("ctr2"."ctr_total_return") * 1.2 AS "_col_0",
"ctr2"."ctr_state" AS "_u_1"
FROM "customer_total_return" AS "ctr2"
GROUP BY
"ctr2"."ctr_state"
)
SELECT
"customer"."c_customer_id" AS "c_customer_id",
"customer"."c_salutation" AS "c_salutation",
"customer"."c_first_name" AS "c_first_name",
"customer"."c_last_name" AS "c_last_name",
"customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag",
"customer"."c_birth_day" AS "c_birth_day",
"customer"."c_birth_month" AS "c_birth_month",
"customer"."c_birth_year" AS "c_birth_year",
"customer"."c_birth_country" AS "c_birth_country",
"customer"."c_login" AS "c_login",
"customer"."c_email_address" AS "c_email_address",
"customer"."c_last_review_date" AS "c_last_review_date",
"ctr1"."ctr_total_return" AS "ctr_total_return"
FROM "customer_total_return" AS "ctr1"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "ctr1"."ctr_state"
JOIN "customer" AS "customer"
ON "ctr1"."ctr_customer_sk" = "customer"."c_customer_sk"
JOIN "customer_address" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
AND "customer_address"."ca_state" = 'IN'
WHERE
"_u_0"."_col_0" < "ctr1"."ctr_total_return"
ORDER BY
"c_customer_id",
"c_salutation",
"c_first_name",
"c_last_name",
"c_preferred_cust_flag",
"c_birth_day",
"c_birth_month",
"c_birth_year",
"c_birth_country",
"c_login",
"c_email_address",
"c_last_review_date",
"ctr_total_return"
LIMIT 100;
--------------------------------------
-- TPC-DS 31
--------------------------------------
# execute: true
WITH ss
AS (SELECT ca_county,
d_qoy,
d_year,
Sum(ss_ext_sales_price) AS store_sales
FROM store_sales,
date_dim,
customer_address
WHERE ss_sold_date_sk = d_date_sk
AND ss_addr_sk = ca_address_sk
GROUP BY ca_county,
d_qoy,
d_year),
ws
AS (SELECT ca_county,
d_qoy,
d_year,
Sum(ws_ext_sales_price) AS web_sales
FROM web_sales,
date_dim,
customer_address
WHERE ws_sold_date_sk = d_date_sk
AND ws_bill_addr_sk = ca_address_sk
GROUP BY ca_county,
d_qoy,
d_year)
SELECT ss1.ca_county,
ss1.d_year,
ws2.web_sales / ws1.web_sales web_q1_q2_increase,
ss2.store_sales / ss1.store_sales store_q1_q2_increase,
ws3.web_sales / ws2.web_sales web_q2_q3_increase,
ss3.store_sales / ss2.store_sales store_q2_q3_increase
FROM ss ss1,
ss ss2,
ss ss3,
ws ws1,
ws ws2,
ws ws3
WHERE ss1.d_qoy = 1
AND ss1.d_year = 2001
AND ss1.ca_county = ss2.ca_county
AND ss2.d_qoy = 2
AND ss2.d_year = 2001
AND ss2.ca_county = ss3.ca_county
AND ss3.d_qoy = 3
AND ss3.d_year = 2001
AND ss1.ca_county = ws1.ca_county
AND ws1.d_qoy = 1
AND ws1.d_year = 2001
AND ws1.ca_county = ws2.ca_county
AND ws2.d_qoy = 2
AND ws2.d_year = 2001
AND ws1.ca_county = ws3.ca_county
AND ws3.d_qoy = 3
AND ws3.d_year = 2001
AND CASE
WHEN ws1.web_sales > 0 THEN ws2.web_sales / ws1.web_sales
ELSE NULL
END > CASE
WHEN ss1.store_sales > 0 THEN
ss2.store_sales / ss1.store_sales
ELSE NULL
END
AND CASE
WHEN ws2.web_sales > 0 THEN ws3.web_sales / ws2.web_sales
ELSE NULL
END > CASE
WHEN ss2.store_sales > 0 THEN
ss3.store_sales / ss2.store_sales
ELSE NULL
END
ORDER BY ss1.d_year;
WITH "customer_address_2" AS (
SELECT
"customer_address"."ca_address_sk" AS "ca_address_sk",
"customer_address"."ca_county" AS "ca_county"
FROM "customer_address" AS "customer_address"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_qoy" AS "d_qoy"
FROM "date_dim" AS "date_dim"
), "ss" AS (
SELECT
"customer_address"."ca_county" AS "ca_county",
"date_dim"."d_qoy" AS "d_qoy",
"date_dim"."d_year" AS "d_year",
SUM("store_sales"."ss_ext_sales_price") AS "store_sales"
FROM "store_sales" AS "store_sales"
JOIN "customer_address_2" AS "customer_address"
ON "customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"customer_address"."ca_county",
"date_dim"."d_qoy",
"date_dim"."d_year"
), "ws" AS (
SELECT
"customer_address"."ca_county" AS "ca_county",
"date_dim"."d_qoy" AS "d_qoy",
"date_dim"."d_year" AS "d_year",
SUM("web_sales"."ws_ext_sales_price") AS "web_sales"
FROM "web_sales" AS "web_sales"
JOIN "customer_address_2" AS "customer_address"
ON "customer_address"."ca_address_sk" = "web_sales"."ws_bill_addr_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
GROUP BY
"customer_address"."ca_county",
"date_dim"."d_qoy",
"date_dim"."d_year"
)
SELECT
"ss1"."ca_county" AS "ca_county",
"ss1"."d_year" AS "d_year",
"ws2"."web_sales" / "ws1"."web_sales" AS "web_q1_q2_increase",
"ss2"."store_sales" / "ss1"."store_sales" AS "store_q1_q2_increase",
"ws3"."web_sales" / "ws2"."web_sales" AS "web_q2_q3_increase",
"ss3"."store_sales" / "ss2"."store_sales" AS "store_q2_q3_increase"
FROM "ss" AS "ss1"
JOIN "ss" AS "ss2"
ON "ss1"."ca_county" = "ss2"."ca_county"
AND "ss2"."d_qoy" = 2
AND "ss2"."d_year" = 2001
JOIN "ws" AS "ws1"
ON "ss1"."ca_county" = "ws1"."ca_county"
AND "ws1"."d_qoy" = 1
AND "ws1"."d_year" = 2001
JOIN "ss" AS "ss3"
ON "ss2"."ca_county" = "ss3"."ca_county"
AND "ss3"."d_qoy" = 3
AND "ss3"."d_year" = 2001
JOIN "ws" AS "ws2"
ON "ws1"."ca_county" = "ws2"."ca_county"
AND "ws2"."d_qoy" = 2
AND "ws2"."d_year" = 2001
AND CASE
WHEN "ss1"."store_sales" > 0
THEN "ss2"."store_sales" / "ss1"."store_sales"
ELSE NULL
END < CASE
WHEN "ws1"."web_sales" > 0
THEN "ws2"."web_sales" / "ws1"."web_sales"
ELSE NULL
END
JOIN "ws" AS "ws3"
ON "ws1"."ca_county" = "ws3"."ca_county"
AND "ws3"."d_qoy" = 3
AND "ws3"."d_year" = 2001
AND CASE
WHEN "ss2"."store_sales" > 0
THEN "ss3"."store_sales" / "ss2"."store_sales"
ELSE NULL
END < CASE
WHEN "ws2"."web_sales" > 0
THEN "ws3"."web_sales" / "ws2"."web_sales"
ELSE NULL
END
WHERE
"ss1"."d_qoy" = 1 AND "ss1"."d_year" = 2001
ORDER BY
"ss1"."d_year";
--------------------------------------
-- TPC-DS 32
--------------------------------------
SELECT
Sum(cs_ext_discount_amt) AS "excess discount amount"
FROM catalog_sales ,
item ,
date_dim
WHERE i_manufact_id = 610
AND i_item_sk = cs_item_sk
AND d_date BETWEEN '2001-03-04' AND (
Cast('2001-03-04' AS DATE) + INTERVAL '90' day)
AND d_date_sk = cs_sold_date_sk
AND cs_ext_discount_amt >
(
SELECT 1.3 * avg(cs_ext_discount_amt)
FROM catalog_sales ,
date_dim
WHERE cs_item_sk = i_item_sk
AND d_date BETWEEN '2001-03-04' AND (
cast('2001-03-04' AS date) + INTERVAL '90' day)
AND d_date_sk = cs_sold_date_sk )
LIMIT 100;
WITH "catalog_sales_2" AS (
SELECT
"catalog_sales"."cs_sold_date_sk" AS "cs_sold_date_sk",
"catalog_sales"."cs_item_sk" AS "cs_item_sk",
"catalog_sales"."cs_ext_discount_amt" AS "cs_ext_discount_amt"
FROM "catalog_sales" AS "catalog_sales"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_date" >= '2001-03-04'
AND CAST("date_dim"."d_date" AS DATE) <= CAST('2001-06-02' AS DATE)
), "_u_0" AS (
SELECT
1.3 * AVG("catalog_sales"."cs_ext_discount_amt") AS "_col_0",
"catalog_sales"."cs_item_sk" AS "_u_1"
FROM "catalog_sales_2" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
GROUP BY
"catalog_sales"."cs_item_sk"
)
SELECT
SUM("catalog_sales"."cs_ext_discount_amt") AS "excess discount amount"
FROM "catalog_sales_2" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "item" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
AND "item"."i_manufact_id" = 610
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "item"."i_item_sk"
WHERE
"_u_0"."_col_0" < "catalog_sales"."cs_ext_discount_amt"
LIMIT 100;
--------------------------------------
-- TPC-DS 33
--------------------------------------
# execute: true
WITH ss
AS (SELECT i_manufact_id,
Sum(ss_ext_sales_price) total_sales
FROM store_sales,
date_dim,
customer_address,
item
WHERE i_manufact_id IN (SELECT i_manufact_id
FROM item
WHERE i_category IN ( 'Books' ))
AND ss_item_sk = i_item_sk
AND ss_sold_date_sk = d_date_sk
AND d_year = 1999
AND d_moy = 3
AND ss_addr_sk = ca_address_sk
AND ca_gmt_offset = -5
GROUP BY i_manufact_id),
cs
AS (SELECT i_manufact_id,
Sum(cs_ext_sales_price) total_sales
FROM catalog_sales,
date_dim,
customer_address,
item
WHERE i_manufact_id IN (SELECT i_manufact_id
FROM item
WHERE i_category IN ( 'Books' ))
AND cs_item_sk = i_item_sk
AND cs_sold_date_sk = d_date_sk
AND d_year = 1999
AND d_moy = 3
AND cs_bill_addr_sk = ca_address_sk
AND ca_gmt_offset = -5
GROUP BY i_manufact_id),
ws
AS (SELECT i_manufact_id,
Sum(ws_ext_sales_price) total_sales
FROM web_sales,
date_dim,
customer_address,
item
WHERE i_manufact_id IN (SELECT i_manufact_id
FROM item
WHERE i_category IN ( 'Books' ))
AND ws_item_sk = i_item_sk
AND ws_sold_date_sk = d_date_sk
AND d_year = 1999
AND d_moy = 3
AND ws_bill_addr_sk = ca_address_sk
AND ca_gmt_offset = -5
GROUP BY i_manufact_id)
SELECT i_manufact_id,
Sum(total_sales) total_sales
FROM (SELECT *
FROM ss
UNION ALL
SELECT *
FROM cs
UNION ALL
SELECT *
FROM ws) tmp1
GROUP BY i_manufact_id
ORDER BY total_sales
LIMIT 100;
WITH "customer_address_2" AS (
SELECT
"customer_address"."ca_address_sk" AS "ca_address_sk",
"customer_address"."ca_gmt_offset" AS "ca_gmt_offset"
FROM "customer_address" AS "customer_address"
WHERE
"customer_address"."ca_gmt_offset" = -5
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 3 AND "date_dim"."d_year" = 1999
), "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_manufact_id" AS "i_manufact_id"
FROM "item" AS "item"
), "_u_0" AS (
SELECT
"item"."i_manufact_id" AS "i_manufact_id"
FROM "item" AS "item"
WHERE
"item"."i_category" IN ('Books')
GROUP BY
"item"."i_manufact_id"
), "ss" AS (
SELECT
"item"."i_manufact_id" AS "i_manufact_id",
SUM("store_sales"."ss_ext_sales_price") AS "total_sales"
FROM "store_sales" AS "store_sales"
JOIN "customer_address_2" AS "customer_address"
ON "customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."i_manufact_id" = "item"."i_manufact_id"
WHERE
NOT "_u_0"."i_manufact_id" IS NULL
GROUP BY
"item"."i_manufact_id"
), "cs" AS (
SELECT
"item"."i_manufact_id" AS "i_manufact_id",
SUM("catalog_sales"."cs_ext_sales_price") AS "total_sales"
FROM "catalog_sales" AS "catalog_sales"
JOIN "customer_address_2" AS "customer_address"
ON "catalog_sales"."cs_bill_addr_sk" = "customer_address"."ca_address_sk"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "item_2" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
LEFT JOIN "_u_0" AS "_u_1"
ON "_u_1"."i_manufact_id" = "item"."i_manufact_id"
WHERE
NOT "_u_1"."i_manufact_id" IS NULL
GROUP BY
"item"."i_manufact_id"
), "ws" AS (
SELECT
"item"."i_manufact_id" AS "i_manufact_id",
SUM("web_sales"."ws_ext_sales_price") AS "total_sales"
FROM "web_sales" AS "web_sales"
JOIN "customer_address_2" AS "customer_address"
ON "customer_address"."ca_address_sk" = "web_sales"."ws_bill_addr_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
LEFT JOIN "_u_0" AS "_u_2"
ON "_u_2"."i_manufact_id" = "item"."i_manufact_id"
WHERE
NOT "_u_2"."i_manufact_id" IS NULL
GROUP BY
"item"."i_manufact_id"
), "tmp1" AS (
SELECT
"ss"."i_manufact_id" AS "i_manufact_id",
"ss"."total_sales" AS "total_sales"
FROM "ss" AS "ss"
UNION ALL
SELECT
"cs"."i_manufact_id" AS "i_manufact_id",
"cs"."total_sales" AS "total_sales"
FROM "cs" AS "cs"
UNION ALL
SELECT
"ws"."i_manufact_id" AS "i_manufact_id",
"ws"."total_sales" AS "total_sales"
FROM "ws" AS "ws"
)
SELECT
"tmp1"."i_manufact_id" AS "i_manufact_id",
SUM("tmp1"."total_sales") AS "total_sales"
FROM "tmp1" AS "tmp1"
GROUP BY
"tmp1"."i_manufact_id"
ORDER BY
"total_sales"
LIMIT 100;
--------------------------------------
-- TPC-DS 34
--------------------------------------
# execute: true
SELECT c_last_name,
c_first_name,
c_salutation,
c_preferred_cust_flag,
ss_ticket_number,
cnt
FROM (SELECT ss_ticket_number,
ss_customer_sk,
Count(*) cnt
FROM store_sales,
date_dim,
store,
household_demographics
WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
AND store_sales.ss_store_sk = store.s_store_sk
AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
AND ( date_dim.d_dom BETWEEN 1 AND 3
OR date_dim.d_dom BETWEEN 25 AND 28 )
AND ( household_demographics.hd_buy_potential = '>10000'
OR household_demographics.hd_buy_potential = 'unknown' )
AND household_demographics.hd_vehicle_count > 0
AND ( CASE
WHEN household_demographics.hd_vehicle_count > 0 THEN
household_demographics.hd_dep_count /
household_demographics.hd_vehicle_count
ELSE NULL
END ) > 1.2
AND date_dim.d_year IN ( 1999, 1999 + 1, 1999 + 2 )
AND store.s_county IN ( 'Williamson County', 'Williamson County',
'Williamson County',
'Williamson County'
,
'Williamson County', 'Williamson County',
'Williamson County',
'Williamson County'
)
GROUP BY ss_ticket_number,
ss_customer_sk) dn,
customer
WHERE ss_customer_sk = c_customer_sk
AND cnt BETWEEN 15 AND 20
ORDER BY c_last_name,
c_first_name,
c_salutation,
c_preferred_cust_flag DESC;
WITH "dn" AS (
SELECT
"store_sales"."ss_ticket_number" AS "ss_ticket_number",
"store_sales"."ss_customer_sk" AS "ss_customer_sk",
COUNT(*) AS "cnt"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" IN (1999, 2000, 2001)
AND (
(
"date_dim"."d_dom" <= 28 AND "date_dim"."d_dom" >= 25
)
OR (
"date_dim"."d_dom" <= 3 AND "date_dim"."d_dom" >= 1
)
)
JOIN "household_demographics" AS "household_demographics"
ON (
"household_demographics"."hd_buy_potential" = '>10000'
OR "household_demographics"."hd_buy_potential" = 'unknown'
)
AND "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
AND "household_demographics"."hd_vehicle_count" > 0
AND CASE
WHEN "household_demographics"."hd_vehicle_count" > 0
THEN "household_demographics"."hd_dep_count" / "household_demographics"."hd_vehicle_count"
ELSE NULL
END > 1.2
JOIN "store" AS "store"
ON "store"."s_county" IN (
'Williamson County',
'Williamson County',
'Williamson County',
'Williamson County',
'Williamson County',
'Williamson County',
'Williamson County',
'Williamson County'
)
AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
"store_sales"."ss_ticket_number",
"store_sales"."ss_customer_sk"
)
SELECT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"customer"."c_salutation" AS "c_salutation",
"customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag",
"dn"."ss_ticket_number" AS "ss_ticket_number",
"dn"."cnt" AS "cnt"
FROM "dn" AS "dn"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "dn"."ss_customer_sk"
WHERE
"dn"."cnt" <= 20 AND "dn"."cnt" >= 15
ORDER BY
"c_last_name",
"c_first_name",
"c_salutation",
"c_preferred_cust_flag" DESC;
--------------------------------------
-- TPC-DS 35
--------------------------------------
# execute: true
SELECT ca_state,
cd_gender,
cd_marital_status,
cd_dep_count,
Count(*) cnt1,
Stddev_samp(cd_dep_count) AS "_col_5",
Avg(cd_dep_count) AS "_col_6",
Max(cd_dep_count) AS "_col_7",
cd_dep_employed_count,
Count(*) cnt2,
Stddev_samp(cd_dep_employed_count) AS "_col_10",
Avg(cd_dep_employed_count) AS "_col_11",
Max(cd_dep_employed_count) AS "_col_12",
cd_dep_college_count,
Count(*) cnt3,
Stddev_samp(cd_dep_college_count) AS "_col_15",
Avg(cd_dep_college_count) AS "_col_16",
Max(cd_dep_college_count) AS "_col_17"
FROM customer c,
customer_address ca,
customer_demographics
WHERE c.c_current_addr_sk = ca.ca_address_sk
AND cd_demo_sk = c.c_current_cdemo_sk
AND EXISTS (SELECT *
FROM store_sales,
date_dim
WHERE c.c_customer_sk = ss_customer_sk
AND ss_sold_date_sk = d_date_sk
AND d_year = 2001
AND d_qoy < 4)
AND ( EXISTS (SELECT *
FROM web_sales,
date_dim
WHERE c.c_customer_sk = ws_bill_customer_sk
AND ws_sold_date_sk = d_date_sk
AND d_year = 2001
AND d_qoy < 4)
OR EXISTS (SELECT *
FROM catalog_sales,
date_dim
WHERE c.c_customer_sk = cs_ship_customer_sk
AND cs_sold_date_sk = d_date_sk
AND d_year = 2001
AND d_qoy < 4) )
GROUP BY ca_state,
cd_gender,
cd_marital_status,
cd_dep_count,
cd_dep_employed_count,
cd_dep_college_count
ORDER BY ca_state,
cd_gender,
cd_marital_status,
cd_dep_count,
cd_dep_employed_count,
cd_dep_college_count
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date_id" AS "d_date_id",
"date_dim"."d_date" AS "d_date",
"date_dim"."d_month_seq" AS "d_month_seq",
"date_dim"."d_week_seq" AS "d_week_seq",
"date_dim"."d_quarter_seq" AS "d_quarter_seq",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_dow" AS "d_dow",
"date_dim"."d_moy" AS "d_moy",
"date_dim"."d_dom" AS "d_dom",
"date_dim"."d_qoy" AS "d_qoy",
"date_dim"."d_fy_year" AS "d_fy_year",
"date_dim"."d_fy_quarter_seq" AS "d_fy_quarter_seq",
"date_dim"."d_fy_week_seq" AS "d_fy_week_seq",
"date_dim"."d_day_name" AS "d_day_name",
"date_dim"."d_quarter_name" AS "d_quarter_name",
"date_dim"."d_holiday" AS "d_holiday",
"date_dim"."d_weekend" AS "d_weekend",
"date_dim"."d_following_holiday" AS "d_following_holiday",
"date_dim"."d_first_dom" AS "d_first_dom",
"date_dim"."d_last_dom" AS "d_last_dom",
"date_dim"."d_same_day_ly" AS "d_same_day_ly",
"date_dim"."d_same_day_lq" AS "d_same_day_lq",
"date_dim"."d_current_day" AS "d_current_day",
"date_dim"."d_current_week" AS "d_current_week",
"date_dim"."d_current_month" AS "d_current_month",
"date_dim"."d_current_quarter" AS "d_current_quarter",
"date_dim"."d_current_year" AS "d_current_year"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_qoy" < 4 AND "date_dim"."d_year" = 2001
), "_u_0" AS (
SELECT
"store_sales"."ss_customer_sk" AS "_u_1"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"store_sales"."ss_customer_sk"
), "_u_2" AS (
SELECT
"web_sales"."ws_bill_customer_sk" AS "_u_3"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
GROUP BY
"web_sales"."ws_bill_customer_sk"
), "_u_4" AS (
SELECT
"catalog_sales"."cs_ship_customer_sk" AS "_u_5"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
GROUP BY
"catalog_sales"."cs_ship_customer_sk"
)
SELECT
"ca"."ca_state" AS "ca_state",
"customer_demographics"."cd_gender" AS "cd_gender",
"customer_demographics"."cd_marital_status" AS "cd_marital_status",
"customer_demographics"."cd_dep_count" AS "cd_dep_count",
COUNT(*) AS "cnt1",
STDDEV_SAMP("customer_demographics"."cd_dep_count") AS "_col_5",
AVG("customer_demographics"."cd_dep_count") AS "_col_6",
MAX("customer_demographics"."cd_dep_count") AS "_col_7",
"customer_demographics"."cd_dep_employed_count" AS "cd_dep_employed_count",
COUNT(*) AS "cnt2",
STDDEV_SAMP("customer_demographics"."cd_dep_employed_count") AS "_col_10",
AVG("customer_demographics"."cd_dep_employed_count") AS "_col_11",
MAX("customer_demographics"."cd_dep_employed_count") AS "_col_12",
"customer_demographics"."cd_dep_college_count" AS "cd_dep_college_count",
COUNT(*) AS "cnt3",
STDDEV_SAMP("customer_demographics"."cd_dep_college_count") AS "_col_15",
AVG("customer_demographics"."cd_dep_college_count") AS "_col_16",
MAX("customer_demographics"."cd_dep_college_count") AS "_col_17"
FROM "customer" AS "c"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "c"."c_customer_sk"
LEFT JOIN "_u_2" AS "_u_2"
ON "_u_2"."_u_3" = "c"."c_customer_sk"
LEFT JOIN "_u_4" AS "_u_4"
ON "_u_4"."_u_5" = "c"."c_customer_sk"
JOIN "customer_address" AS "ca"
ON "c"."c_current_addr_sk" = "ca"."ca_address_sk"
JOIN "customer_demographics" AS "customer_demographics"
ON "c"."c_current_cdemo_sk" = "customer_demographics"."cd_demo_sk"
WHERE
NOT "_u_0"."_u_1" IS NULL
AND (
NOT "_u_2"."_u_3" IS NULL OR NOT "_u_4"."_u_5" IS NULL
)
GROUP BY
"ca"."ca_state",
"customer_demographics"."cd_gender",
"customer_demographics"."cd_marital_status",
"customer_demographics"."cd_dep_count",
"customer_demographics"."cd_dep_employed_count",
"customer_demographics"."cd_dep_college_count"
ORDER BY
"ca_state",
"cd_gender",
"cd_marital_status",
"cd_dep_count",
"cd_dep_employed_count",
"cd_dep_college_count"
LIMIT 100;
--------------------------------------
-- TPC-DS 36
--------------------------------------
SELECT Sum(ss_net_profit) / Sum(ss_ext_sales_price) AS
gross_margin,
i_category,
i_class,
Grouping(i_category) + Grouping(i_class) AS
lochierarchy,
Rank()
OVER (
partition BY Grouping(i_category)+Grouping(i_class), CASE
WHEN Grouping(
i_class) = 0 THEN i_category END
ORDER BY Sum(ss_net_profit)/Sum(ss_ext_sales_price) ASC) AS
rank_within_parent
FROM store_sales,
date_dim d1,
item,
store
WHERE d1.d_year = 2000
AND d1.d_date_sk = ss_sold_date_sk
AND i_item_sk = ss_item_sk
AND s_store_sk = ss_store_sk
AND s_state IN ( 'TN', 'TN', 'TN', 'TN',
'TN', 'TN', 'TN', 'TN' )
GROUP BY rollup( i_category, i_class )
ORDER BY lochierarchy DESC,
CASE
WHEN lochierarchy = 0 THEN i_category
END,
rank_within_parent
LIMIT 100;
SELECT
SUM("store_sales"."ss_net_profit") / SUM("store_sales"."ss_ext_sales_price") AS "gross_margin",
"item"."i_category" AS "i_category",
"item"."i_class" AS "i_class",
GROUPING("item"."i_category") + GROUPING("item"."i_class") AS "lochierarchy",
RANK() OVER (
PARTITION BY GROUPING("item"."i_category") + GROUPING("item"."i_class"), CASE WHEN GROUPING("item"."i_class") = 0 THEN "item"."i_category" END
ORDER BY SUM("store_sales"."ss_net_profit") / SUM("store_sales"."ss_ext_sales_price")
) AS "rank_within_parent"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk" AND "d1"."d_year" = 2000
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "store" AS "store"
ON "store"."s_state" IN ('TN', 'TN', 'TN', 'TN', 'TN', 'TN', 'TN', 'TN')
AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
ROLLUP (
"item"."i_category",
"item"."i_class"
)
ORDER BY
"lochierarchy" DESC,
CASE WHEN "lochierarchy" = 0 THEN "i_category" END,
"rank_within_parent"
LIMIT 100;
--------------------------------------
-- TPC-DS 37
--------------------------------------
SELECT
i_item_id ,
i_item_desc ,
i_current_price
FROM item,
inventory,
date_dim,
catalog_sales
WHERE i_current_price BETWEEN 20 AND 20 + 30
AND inv_item_sk = i_item_sk
AND d_date_sk=inv_date_sk
AND d_date BETWEEN Cast('1999-03-06' AS DATE) AND (
Cast('1999-03-06' AS DATE) + INTERVAL '60' day)
AND i_manufact_id IN (843,815,850,840)
AND inv_quantity_on_hand BETWEEN 100 AND 500
AND cs_item_sk = i_item_sk
GROUP BY i_item_id,
i_item_desc,
i_current_price
ORDER BY i_item_id
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
"item"."i_item_desc" AS "i_item_desc",
"item"."i_current_price" AS "i_current_price"
FROM "item" AS "item"
JOIN "catalog_sales" AS "catalog_sales"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
JOIN "inventory" AS "inventory"
ON "inventory"."inv_item_sk" = "item"."i_item_sk"
AND "inventory"."inv_quantity_on_hand" <= 500
AND "inventory"."inv_quantity_on_hand" >= 100
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "inventory"."inv_date_sk"
AND CAST("date_dim"."d_date" AS DATE) <= CAST('1999-05-05' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('1999-03-06' AS DATE)
WHERE
"item"."i_current_price" <= 50
AND "item"."i_current_price" >= 20
AND "item"."i_manufact_id" IN (843, 815, 850, 840)
GROUP BY
"item"."i_item_id",
"item"."i_item_desc",
"item"."i_current_price"
ORDER BY
"i_item_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 38
--------------------------------------
# execute: true
SELECT Count(*) AS "_col_0"
FROM (SELECT DISTINCT c_last_name,
c_first_name,
d_date
FROM store_sales,
date_dim,
customer
WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
AND store_sales.ss_customer_sk = customer.c_customer_sk
AND d_month_seq BETWEEN 1188 AND 1188 + 11
INTERSECT
SELECT DISTINCT c_last_name,
c_first_name,
d_date
FROM catalog_sales,
date_dim,
customer
WHERE catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
AND d_month_seq BETWEEN 1188 AND 1188 + 11
INTERSECT
SELECT DISTINCT c_last_name,
c_first_name,
d_date
FROM web_sales,
date_dim,
customer
WHERE web_sales.ws_sold_date_sk = date_dim.d_date_sk
AND web_sales.ws_bill_customer_sk = customer.c_customer_sk
AND d_month_seq BETWEEN 1188 AND 1188 + 11) hot_cust
LIMIT 100;
WITH "customer_2" AS (
SELECT
"customer"."c_customer_sk" AS "c_customer_sk",
"customer"."c_first_name" AS "c_first_name",
"customer"."c_last_name" AS "c_last_name"
FROM "customer" AS "customer"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date",
"date_dim"."d_month_seq" AS "d_month_seq"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_month_seq" <= 1199 AND "date_dim"."d_month_seq" >= 1188
), "hot_cust" AS (
SELECT DISTINCT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"date_dim"."d_date" AS "d_date"
FROM "store_sales" AS "store_sales"
JOIN "customer_2" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
INTERSECT
SELECT DISTINCT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"date_dim"."d_date" AS "d_date"
FROM "catalog_sales" AS "catalog_sales"
JOIN "customer_2" AS "customer"
ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
INTERSECT
SELECT DISTINCT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"date_dim"."d_date" AS "d_date"
FROM "web_sales" AS "web_sales"
JOIN "customer_2" AS "customer"
ON "customer"."c_customer_sk" = "web_sales"."ws_bill_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
)
SELECT
COUNT(*) AS "_col_0"
FROM "hot_cust" AS "hot_cust"
LIMIT 100;
--------------------------------------
-- TPC-DS 39
--------------------------------------
WITH inv
AS (SELECT w_warehouse_name,
w_warehouse_sk,
i_item_sk,
d_moy,
stdev,
mean,
CASE mean
WHEN 0 THEN NULL
ELSE stdev / mean
END cov
FROM (SELECT w_warehouse_name,
w_warehouse_sk,
i_item_sk,
d_moy,
Stddev_samp(inv_quantity_on_hand) stdev,
Avg(inv_quantity_on_hand) mean
FROM inventory,
item,
warehouse,
date_dim
WHERE inv_item_sk = i_item_sk
AND inv_warehouse_sk = w_warehouse_sk
AND inv_date_sk = d_date_sk
AND d_year = 2002
GROUP BY w_warehouse_name,
w_warehouse_sk,
i_item_sk,
d_moy) foo
WHERE CASE mean
WHEN 0 THEN 0
ELSE stdev / mean
END > 1)
SELECT inv1.w_warehouse_sk,
inv1.i_item_sk,
inv1.d_moy,
inv1.mean,
inv1.cov,
inv2.w_warehouse_sk,
inv2.i_item_sk,
inv2.d_moy,
inv2.mean,
inv2.cov
FROM inv inv1,
inv inv2
WHERE inv1.i_item_sk = inv2.i_item_sk
AND inv1.w_warehouse_sk = inv2.w_warehouse_sk
AND inv1.d_moy = 1
AND inv2.d_moy = 1 + 1
ORDER BY inv1.w_warehouse_sk,
inv1.i_item_sk,
inv1.d_moy,
inv1.mean,
inv1.cov,
inv2.d_moy,
inv2.mean,
inv2.cov;
WITH "foo" AS (
SELECT
"warehouse"."w_warehouse_sk" AS "w_warehouse_sk",
"item"."i_item_sk" AS "i_item_sk",
"date_dim"."d_moy" AS "d_moy",
STDDEV_SAMP("inventory"."inv_quantity_on_hand") AS "stdev",
AVG("inventory"."inv_quantity_on_hand") AS "mean"
FROM "inventory" AS "inventory"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "inventory"."inv_date_sk" AND "date_dim"."d_year" = 2002
JOIN "item" AS "item"
ON "inventory"."inv_item_sk" = "item"."i_item_sk"
JOIN "warehouse" AS "warehouse"
ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk"
GROUP BY
"warehouse"."w_warehouse_name",
"warehouse"."w_warehouse_sk",
"item"."i_item_sk",
"date_dim"."d_moy"
), "inv" AS (
SELECT
"foo"."w_warehouse_sk" AS "w_warehouse_sk",
"foo"."i_item_sk" AS "i_item_sk",
"foo"."d_moy" AS "d_moy",
"foo"."mean" AS "mean",
CASE WHEN "foo"."mean" = 0 THEN NULL ELSE "foo"."stdev" / "foo"."mean" END AS "cov"
FROM "foo" AS "foo"
WHERE
CASE WHEN "foo"."mean" = 0 THEN 0 ELSE "foo"."stdev" / "foo"."mean" END > 1
)
SELECT
"inv1"."w_warehouse_sk" AS "w_warehouse_sk",
"inv1"."i_item_sk" AS "i_item_sk",
"inv1"."d_moy" AS "d_moy",
"inv1"."mean" AS "mean",
"inv1"."cov" AS "cov",
"inv2"."w_warehouse_sk" AS "w_warehouse_sk",
"inv2"."i_item_sk" AS "i_item_sk",
"inv2"."d_moy" AS "d_moy",
"inv2"."mean" AS "mean",
"inv2"."cov" AS "cov"
FROM "inv" AS "inv1"
JOIN "inv" AS "inv2"
ON "inv1"."i_item_sk" = "inv2"."i_item_sk"
AND "inv1"."w_warehouse_sk" = "inv2"."w_warehouse_sk"
AND "inv2"."d_moy" = 2
WHERE
"inv1"."d_moy" = 1
ORDER BY
"inv1"."w_warehouse_sk",
"inv1"."i_item_sk",
"inv1"."d_moy",
"inv1"."mean",
"inv1"."cov",
"inv2"."d_moy",
"inv2"."mean",
"inv2"."cov";
--------------------------------------
-- TPC-DS 40
--------------------------------------
SELECT
w_state ,
i_item_id ,
Sum(
CASE
WHEN (
Cast(d_date AS DATE) < Cast ('2002-06-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash,0)
ELSE 0
END) AS sales_before ,
Sum(
CASE
WHEN (
Cast(d_date AS DATE) >= Cast ('2002-06-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash,0)
ELSE 0
END) AS sales_after
FROM catalog_sales
LEFT OUTER JOIN catalog_returns
ON (
cs_order_number = cr_order_number
AND cs_item_sk = cr_item_sk) ,
warehouse ,
item ,
date_dim
WHERE i_current_price BETWEEN 0.99 AND 1.49
AND i_item_sk = cs_item_sk
AND cs_warehouse_sk = w_warehouse_sk
AND cs_sold_date_sk = d_date_sk
AND d_date BETWEEN (Cast ('2002-06-01' AS DATE) - INTERVAL '30' day) AND (
cast ('2002-06-01' AS date) + INTERVAL '30' day)
GROUP BY w_state,
i_item_id
ORDER BY w_state,
i_item_id
LIMIT 100;
SELECT
"warehouse"."w_state" AS "w_state",
"item"."i_item_id" AS "i_item_id",
SUM(
CASE
WHEN CAST("date_dim"."d_date" AS DATE) < CAST('2002-06-01' AS DATE)
THEN "catalog_sales"."cs_sales_price" - COALESCE("catalog_returns"."cr_refunded_cash", 0)
ELSE 0
END
) AS "sales_before",
SUM(
CASE
WHEN CAST("date_dim"."d_date" AS DATE) >= CAST('2002-06-01' AS DATE)
THEN "catalog_sales"."cs_sales_price" - COALESCE("catalog_returns"."cr_refunded_cash", 0)
ELSE 0
END
) AS "sales_after"
FROM "catalog_sales" AS "catalog_sales"
LEFT JOIN "catalog_returns" AS "catalog_returns"
ON "catalog_returns"."cr_item_sk" = "catalog_sales"."cs_item_sk"
AND "catalog_returns"."cr_order_number" = "catalog_sales"."cs_order_number"
JOIN "date_dim" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
AND CAST("date_dim"."d_date" AS DATE) <= CAST('2002-07-01' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('2002-05-02' AS DATE)
JOIN "item" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
AND "item"."i_current_price" <= 1.49
AND "item"."i_current_price" >= 0.99
JOIN "warehouse" AS "warehouse"
ON "catalog_sales"."cs_warehouse_sk" = "warehouse"."w_warehouse_sk"
GROUP BY
"warehouse"."w_state",
"item"."i_item_id"
ORDER BY
"w_state",
"i_item_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 41
--------------------------------------
SELECT Distinct(i_product_name)
FROM item i1
WHERE i_manufact_id BETWEEN 765 AND 765 + 40
AND (SELECT Count(*) AS item_cnt
FROM item
WHERE ( i_manufact = i1.i_manufact
AND ( ( i_category = 'Women'
AND ( i_color = 'dim'
OR i_color = 'green' )
AND ( i_units = 'Gross'
OR i_units = 'Dozen' )
AND ( i_size = 'economy'
OR i_size = 'petite' ) )
OR ( i_category = 'Women'
AND ( i_color = 'navajo'
OR i_color = 'aquamarine' )
AND ( i_units = 'Case'
OR i_units = 'Unknown' )
AND ( i_size = 'large'
OR i_size = 'N/A' ) )
OR ( i_category = 'Men'
AND ( i_color = 'indian'
OR i_color = 'dark' )
AND ( i_units = 'Oz'
OR i_units = 'Lb' )
AND ( i_size = 'extra large'
OR i_size = 'small' ) )
OR ( i_category = 'Men'
AND ( i_color = 'peach'
OR i_color = 'purple' )
AND ( i_units = 'Tbl'
OR i_units = 'Bunch' )
AND ( i_size = 'economy'
OR i_size = 'petite' ) ) ) )
OR ( i_manufact = i1.i_manufact
AND ( ( i_category = 'Women'
AND ( i_color = 'orchid'
OR i_color = 'peru' )
AND ( i_units = 'Carton'
OR i_units = 'Cup' )
AND ( i_size = 'economy'
OR i_size = 'petite' ) )
OR ( i_category = 'Women'
AND ( i_color = 'violet'
OR i_color = 'papaya' )
AND ( i_units = 'Ounce'
OR i_units = 'Box' )
AND ( i_size = 'large'
OR i_size = 'N/A' ) )
OR ( i_category = 'Men'
AND ( i_color = 'drab'
OR i_color = 'grey' )
AND ( i_units = 'Each'
OR i_units = 'N/A' )
AND ( i_size = 'extra large'
OR i_size = 'small' ) )
OR ( i_category = 'Men'
AND ( i_color = 'chocolate'
OR i_color = 'antique' )
AND ( i_units = 'Dram'
OR i_units = 'Gram' )
AND ( i_size = 'economy'
OR i_size = 'petite' ) ) ) )) > 0
ORDER BY i_product_name
LIMIT 100;
SELECT DISTINCT
"i1"."i_product_name" AS "i_product_name"
FROM "item" AS "i1"
WHERE
"i1"."i_manufact_id" <= 805
AND "i1"."i_manufact_id" >= 765
AND (
SELECT
COUNT(*) AS "item_cnt"
FROM "item" AS "item"
WHERE
(
"i1"."i_manufact" = "item"."i_manufact"
AND (
(
"item"."i_category" = 'Men'
AND (
"item"."i_color" = 'antique' OR "item"."i_color" = 'chocolate'
)
AND (
"item"."i_size" = 'economy' OR "item"."i_size" = 'petite'
)
AND (
"item"."i_units" = 'Dram' OR "item"."i_units" = 'Gram'
)
)
OR (
"item"."i_category" = 'Men'
AND (
"item"."i_color" = 'drab' OR "item"."i_color" = 'grey'
)
AND (
"item"."i_size" = 'extra large' OR "item"."i_size" = 'small'
)
AND (
"item"."i_units" = 'Each' OR "item"."i_units" = 'N/A'
)
)
OR (
"item"."i_category" = 'Women'
AND (
"item"."i_color" = 'orchid' OR "item"."i_color" = 'peru'
)
AND (
"item"."i_size" = 'economy' OR "item"."i_size" = 'petite'
)
AND (
"item"."i_units" = 'Carton' OR "item"."i_units" = 'Cup'
)
)
OR (
"item"."i_category" = 'Women'
AND (
"item"."i_color" = 'papaya' OR "item"."i_color" = 'violet'
)
AND (
"item"."i_size" = 'N/A' OR "item"."i_size" = 'large'
)
AND (
"item"."i_units" = 'Box' OR "item"."i_units" = 'Ounce'
)
)
)
)
OR (
"i1"."i_manufact" = "item"."i_manufact"
AND (
(
"item"."i_category" = 'Men'
AND (
"item"."i_color" = 'dark' OR "item"."i_color" = 'indian'
)
AND (
"item"."i_size" = 'extra large' OR "item"."i_size" = 'small'
)
AND (
"item"."i_units" = 'Lb' OR "item"."i_units" = 'Oz'
)
)
OR (
"item"."i_category" = 'Men'
AND (
"item"."i_color" = 'peach' OR "item"."i_color" = 'purple'
)
AND (
"item"."i_size" = 'economy' OR "item"."i_size" = 'petite'
)
AND (
"item"."i_units" = 'Bunch' OR "item"."i_units" = 'Tbl'
)
)
OR (
"item"."i_category" = 'Women'
AND (
"item"."i_color" = 'aquamarine' OR "item"."i_color" = 'navajo'
)
AND (
"item"."i_size" = 'N/A' OR "item"."i_size" = 'large'
)
AND (
"item"."i_units" = 'Case' OR "item"."i_units" = 'Unknown'
)
)
OR (
"item"."i_category" = 'Women'
AND (
"item"."i_color" = 'dim' OR "item"."i_color" = 'green'
)
AND (
"item"."i_size" = 'economy' OR "item"."i_size" = 'petite'
)
AND (
"item"."i_units" = 'Dozen' OR "item"."i_units" = 'Gross'
)
)
)
)
) > 0
ORDER BY
"i1"."i_product_name"
LIMIT 100;
--------------------------------------
-- TPC-DS 42
--------------------------------------
# execute: true
SELECT dt.d_year,
item.i_category_id,
item.i_category,
Sum(ss_ext_sales_price) AS "_col_3"
FROM date_dim dt,
store_sales,
item
WHERE dt.d_date_sk = store_sales.ss_sold_date_sk
AND store_sales.ss_item_sk = item.i_item_sk
AND item.i_manager_id = 1
AND dt.d_moy = 12
AND dt.d_year = 2000
GROUP BY dt.d_year,
item.i_category_id,
item.i_category
ORDER BY Sum(ss_ext_sales_price) DESC,
dt.d_year,
item.i_category_id,
item.i_category
LIMIT 100;
SELECT
"dt"."d_year" AS "d_year",
"item"."i_category_id" AS "i_category_id",
"item"."i_category" AS "i_category",
SUM("store_sales"."ss_ext_sales_price") AS "_col_3"
FROM "date_dim" AS "dt"
JOIN "store_sales" AS "store_sales"
ON "dt"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk" AND "item"."i_manager_id" = 1
WHERE
"dt"."d_moy" = 12 AND "dt"."d_year" = 2000
GROUP BY
"dt"."d_year",
"item"."i_category_id",
"item"."i_category"
ORDER BY
"_col_3" DESC,
"d_year",
"i_category_id",
"i_category"
LIMIT 100;
--------------------------------------
-- TPC-DS 43
--------------------------------------
# execute: true
SELECT s_store_name,
s_store_id,
Sum(CASE
WHEN ( d_day_name = 'Sunday' ) THEN ss_sales_price
ELSE NULL
END) sun_sales,
Sum(CASE
WHEN ( d_day_name = 'Monday' ) THEN ss_sales_price
ELSE NULL
END) mon_sales,
Sum(CASE
WHEN ( d_day_name = 'Tuesday' ) THEN ss_sales_price
ELSE NULL
END) tue_sales,
Sum(CASE
WHEN ( d_day_name = 'Wednesday' ) THEN ss_sales_price
ELSE NULL
END) wed_sales,
Sum(CASE
WHEN ( d_day_name = 'Thursday' ) THEN ss_sales_price
ELSE NULL
END) thu_sales,
Sum(CASE
WHEN ( d_day_name = 'Friday' ) THEN ss_sales_price
ELSE NULL
END) fri_sales,
Sum(CASE
WHEN ( d_day_name = 'Saturday' ) THEN ss_sales_price
ELSE NULL
END) sat_sales
FROM date_dim,
store_sales,
store
WHERE d_date_sk = ss_sold_date_sk
AND s_store_sk = ss_store_sk
AND s_gmt_offset = -5
AND d_year = 2002
GROUP BY s_store_name,
s_store_id
ORDER BY s_store_name,
s_store_id,
sun_sales,
mon_sales,
tue_sales,
wed_sales,
thu_sales,
fri_sales,
sat_sales
LIMIT 100;
SELECT
"store"."s_store_name" AS "s_store_name",
"store"."s_store_id" AS "s_store_id",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Sunday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "sun_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Monday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "mon_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Tuesday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "tue_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Wednesday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "wed_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Thursday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "thu_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Friday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "fri_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Saturday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "sat_sales"
FROM "date_dim" AS "date_dim"
JOIN "store_sales" AS "store_sales"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "store" AS "store"
ON "store"."s_gmt_offset" = -5
AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
WHERE
"date_dim"."d_year" = 2002
GROUP BY
"store"."s_store_name",
"store"."s_store_id"
ORDER BY
"s_store_name",
"s_store_id",
"sun_sales",
"mon_sales",
"tue_sales",
"wed_sales",
"thu_sales",
"fri_sales",
"sat_sales"
LIMIT 100;
--------------------------------------
-- TPC-DS 44
--------------------------------------
SELECT asceding.rnk,
i1.i_product_name best_performing,
i2.i_product_name worst_performing
FROM (SELECT *
FROM (SELECT item_sk,
Rank()
OVER (
ORDER BY rank_col ASC) rnk
FROM (SELECT ss_item_sk item_sk,
Avg(ss_net_profit) rank_col
FROM store_sales ss1
WHERE ss_store_sk = 4
GROUP BY ss_item_sk
HAVING Avg(ss_net_profit) > 0.9 *
(SELECT Avg(ss_net_profit)
rank_col
FROM store_sales
WHERE ss_store_sk = 4
AND ss_cdemo_sk IS
NULL
GROUP BY ss_store_sk))V1)
V11
WHERE rnk < 11) asceding,
(SELECT *
FROM (SELECT item_sk,
Rank()
OVER (
ORDER BY rank_col DESC) rnk
FROM (SELECT ss_item_sk item_sk,
Avg(ss_net_profit) rank_col
FROM store_sales ss1
WHERE ss_store_sk = 4
GROUP BY ss_item_sk
HAVING Avg(ss_net_profit) > 0.9 *
(SELECT Avg(ss_net_profit)
rank_col
FROM store_sales
WHERE ss_store_sk = 4
AND ss_cdemo_sk IS
NULL
GROUP BY ss_store_sk))V2)
V21
WHERE rnk < 11) descending,
item i1,
item i2
WHERE asceding.rnk = descending.rnk
AND i1.i_item_sk = asceding.item_sk
AND i2.i_item_sk = descending.item_sk
ORDER BY asceding.rnk
LIMIT 100;
WITH "_u_0" AS (
SELECT
AVG("store_sales"."ss_net_profit") AS "rank_col"
FROM "store_sales" AS "store_sales"
WHERE
"store_sales"."ss_cdemo_sk" IS NULL AND "store_sales"."ss_store_sk" = 4
GROUP BY
"store_sales"."ss_store_sk"
), "v1" AS (
SELECT
"ss1"."ss_item_sk" AS "item_sk",
AVG("ss1"."ss_net_profit") AS "rank_col"
FROM "store_sales" AS "ss1"
CROSS JOIN "_u_0" AS "_u_0"
WHERE
"ss1"."ss_store_sk" = 4
GROUP BY
"ss1"."ss_item_sk"
HAVING
0.9 * MAX("_u_0"."rank_col") < AVG("ss1"."ss_net_profit")
), "v11" AS (
SELECT
"v1"."item_sk" AS "item_sk",
RANK() OVER (ORDER BY "v1"."rank_col") AS "rnk"
FROM "v1" AS "v1"
), "v2" AS (
SELECT
"ss1"."ss_item_sk" AS "item_sk",
AVG("ss1"."ss_net_profit") AS "rank_col"
FROM "store_sales" AS "ss1"
CROSS JOIN "_u_0" AS "_u_1"
WHERE
"ss1"."ss_store_sk" = 4
GROUP BY
"ss1"."ss_item_sk"
HAVING
0.9 * MAX("_u_1"."rank_col") < AVG("ss1"."ss_net_profit")
), "v21" AS (
SELECT
"v2"."item_sk" AS "item_sk",
RANK() OVER (ORDER BY "v2"."rank_col" DESC) AS "rnk"
FROM "v2" AS "v2"
)
SELECT
"v11"."rnk" AS "rnk",
"i1"."i_product_name" AS "best_performing",
"i2"."i_product_name" AS "worst_performing"
FROM "v11" AS "v11"
JOIN "v21" AS "v21"
ON "v11"."rnk" = "v21"."rnk" AND "v21"."rnk" < 11
JOIN "item" AS "i1"
ON "i1"."i_item_sk" = "v11"."item_sk"
JOIN "item" AS "i2"
ON "i2"."i_item_sk" = "v21"."item_sk"
WHERE
"v11"."rnk" < 11
ORDER BY
"v11"."rnk"
LIMIT 100;
--------------------------------------
-- TPC-DS 45
--------------------------------------
# execute: true
SELECT ca_zip,
ca_state,
Sum(ws_sales_price) AS "_col_2"
FROM web_sales,
customer,
customer_address,
date_dim,
item
WHERE ws_bill_customer_sk = c_customer_sk
AND c_current_addr_sk = ca_address_sk
AND ws_item_sk = i_item_sk
AND ( SUBSTRING(ca_zip, 1, 5) IN ( '85669', '86197', '88274', '83405',
'86475', '85392', '85460', '80348',
'81792' )
OR i_item_id IN (SELECT i_item_id
FROM item
WHERE i_item_sk IN ( 2, 3, 5, 7,
11, 13, 17, 19,
23, 29 )) )
AND ws_sold_date_sk = d_date_sk
AND d_qoy = 1
AND d_year = 2000
GROUP BY ca_zip,
ca_state
ORDER BY ca_zip,
ca_state
LIMIT 100;
WITH "_u_0" AS (
SELECT
"item"."i_item_id" AS "i_item_id"
FROM "item" AS "item"
WHERE
"item"."i_item_sk" IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
GROUP BY
"item"."i_item_id"
)
SELECT
"customer_address"."ca_zip" AS "ca_zip",
"customer_address"."ca_state" AS "ca_state",
SUM("web_sales"."ws_sales_price") AS "_col_2"
FROM "web_sales" AS "web_sales"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "web_sales"."ws_bill_customer_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
AND "date_dim"."d_qoy" = 1
AND "date_dim"."d_year" = 2000
JOIN "item" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."i_item_id" = "item"."i_item_id"
JOIN "customer_address" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
WHERE
NOT "_u_0"."i_item_id" IS NULL
OR SUBSTRING("customer_address"."ca_zip", 1, 5) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792')
GROUP BY
"customer_address"."ca_zip",
"customer_address"."ca_state"
ORDER BY
"ca_zip",
"ca_state"
LIMIT 100;
--------------------------------------
-- TPC-DS 46
--------------------------------------
# execute: true
SELECT c_last_name,
c_first_name,
ca_city,
bought_city,
ss_ticket_number,
amt,
profit
FROM (SELECT ss_ticket_number,
ss_customer_sk,
ca_city bought_city,
Sum(ss_coupon_amt) amt,
Sum(ss_net_profit) profit
FROM store_sales,
date_dim,
store,
household_demographics,
customer_address
WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
AND store_sales.ss_store_sk = store.s_store_sk
AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
AND store_sales.ss_addr_sk = customer_address.ca_address_sk
AND ( household_demographics.hd_dep_count = 6
OR household_demographics.hd_vehicle_count = 0 )
AND date_dim.d_dow IN ( 6, 0 )
AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 )
AND store.s_city IN ( 'Midway', 'Fairview', 'Fairview',
'Fairview',
'Fairview' )
GROUP BY ss_ticket_number,
ss_customer_sk,
ss_addr_sk,
ca_city) dn,
customer,
customer_address current_addr
WHERE ss_customer_sk = c_customer_sk
AND customer.c_current_addr_sk = current_addr.ca_address_sk
AND current_addr.ca_city <> bought_city
ORDER BY c_last_name,
c_first_name,
ca_city,
bought_city,
ss_ticket_number
LIMIT 100;
WITH "dn" AS (
SELECT
"store_sales"."ss_ticket_number" AS "ss_ticket_number",
"store_sales"."ss_customer_sk" AS "ss_customer_sk",
"customer_address"."ca_city" AS "bought_city",
SUM("store_sales"."ss_coupon_amt") AS "amt",
SUM("store_sales"."ss_net_profit") AS "profit"
FROM "store_sales" AS "store_sales"
JOIN "customer_address" AS "customer_address"
ON "customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_dow" IN (6, 0)
AND "date_dim"."d_year" IN (2000, 2001, 2002)
JOIN "household_demographics" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
AND (
"household_demographics"."hd_dep_count" = 6
OR "household_demographics"."hd_vehicle_count" = 0
)
JOIN "store" AS "store"
ON "store"."s_city" IN ('Midway', 'Fairview', 'Fairview', 'Fairview', 'Fairview')
AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
"store_sales"."ss_ticket_number",
"store_sales"."ss_customer_sk",
"store_sales"."ss_addr_sk",
"customer_address"."ca_city"
)
SELECT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"current_addr"."ca_city" AS "ca_city",
"dn"."bought_city" AS "bought_city",
"dn"."ss_ticket_number" AS "ss_ticket_number",
"dn"."amt" AS "amt",
"dn"."profit" AS "profit"
FROM "dn" AS "dn"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "dn"."ss_customer_sk"
JOIN "customer_address" AS "current_addr"
ON "current_addr"."ca_address_sk" = "customer"."c_current_addr_sk"
AND "current_addr"."ca_city" <> "dn"."bought_city"
ORDER BY
"c_last_name",
"c_first_name",
"ca_city",
"bought_city",
"ss_ticket_number"
LIMIT 100;
--------------------------------------
-- TPC-DS 47
--------------------------------------
WITH v1
AS (SELECT i_category,
i_brand,
s_store_name,
s_company_name,
d_year,
d_moy,
Sum(ss_sales_price) sum_sales,
Avg(Sum(ss_sales_price))
OVER (
partition BY i_category, i_brand, s_store_name,
s_company_name,
d_year)
avg_monthly_sales,
Rank()
OVER (
partition BY i_category, i_brand, s_store_name,
s_company_name
ORDER BY d_year, d_moy) rn
FROM item,
store_sales,
date_dim,
store
WHERE ss_item_sk = i_item_sk
AND ss_sold_date_sk = d_date_sk
AND ss_store_sk = s_store_sk
AND ( d_year = 1999
OR ( d_year = 1999 - 1
AND d_moy = 12 )
OR ( d_year = 1999 + 1
AND d_moy = 1 ) )
GROUP BY i_category,
i_brand,
s_store_name,
s_company_name,
d_year,
d_moy),
v2
AS (SELECT v1.i_category,
v1.d_year,
v1.d_moy,
v1.avg_monthly_sales,
v1.sum_sales,
v1_lag.sum_sales psum,
v1_lead.sum_sales nsum
FROM v1,
v1 v1_lag,
v1 v1_lead
WHERE v1.i_category = v1_lag.i_category
AND v1.i_category = v1_lead.i_category
AND v1.i_brand = v1_lag.i_brand
AND v1.i_brand = v1_lead.i_brand
AND v1.s_store_name = v1_lag.s_store_name
AND v1.s_store_name = v1_lead.s_store_name
AND v1.s_company_name = v1_lag.s_company_name
AND v1.s_company_name = v1_lead.s_company_name
AND v1.rn = v1_lag.rn + 1
AND v1.rn = v1_lead.rn - 1)
SELECT *
FROM v2
WHERE d_year = 1999
AND avg_monthly_sales > 0
AND CASE
WHEN avg_monthly_sales > 0 THEN Abs(sum_sales - avg_monthly_sales)
/
avg_monthly_sales
ELSE NULL
END > 0.1
ORDER BY sum_sales - avg_monthly_sales,
3
LIMIT 100;
WITH "v1" AS (
SELECT
"item"."i_category" AS "i_category",
"item"."i_brand" AS "i_brand",
"store"."s_store_name" AS "s_store_name",
"store"."s_company_name" AS "s_company_name",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy",
SUM("store_sales"."ss_sales_price") AS "sum_sales",
AVG(SUM("store_sales"."ss_sales_price")) OVER (
PARTITION BY "item"."i_category", "item"."i_brand", "store"."s_store_name", "store"."s_company_name", "date_dim"."d_year"
) AS "avg_monthly_sales",
RANK() OVER (
PARTITION BY "item"."i_category", "item"."i_brand", "store"."s_store_name", "store"."s_company_name"
ORDER BY "date_dim"."d_year", "date_dim"."d_moy"
) AS "rn"
FROM "item" AS "item"
JOIN "store_sales" AS "store_sales"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND (
"date_dim"."d_moy" = 1 OR "date_dim"."d_moy" = 12 OR "date_dim"."d_year" = 1999
)
AND (
"date_dim"."d_moy" = 1 OR "date_dim"."d_year" = 1998 OR "date_dim"."d_year" = 1999
)
AND (
"date_dim"."d_moy" = 12
OR "date_dim"."d_year" = 1999
OR "date_dim"."d_year" = 2000
)
AND (
"date_dim"."d_year" = 1998
OR "date_dim"."d_year" = 1999
OR "date_dim"."d_year" = 2000
)
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
"item"."i_category",
"item"."i_brand",
"store"."s_store_name",
"store"."s_company_name",
"date_dim"."d_year",
"date_dim"."d_moy"
)
SELECT
"v1"."i_category" AS "i_category",
"v1"."d_year" AS "d_year",
"v1"."d_moy" AS "d_moy",
"v1"."avg_monthly_sales" AS "avg_monthly_sales",
"v1"."sum_sales" AS "sum_sales",
"v1_lag"."sum_sales" AS "psum",
"v1_lead"."sum_sales" AS "nsum"
FROM "v1" AS "v1"
JOIN "v1" AS "v1_lag"
ON "v1"."i_brand" = "v1_lag"."i_brand"
AND "v1"."i_category" = "v1_lag"."i_category"
AND "v1"."rn" = "v1_lag"."rn" + 1
AND "v1"."s_company_name" = "v1_lag"."s_company_name"
AND "v1"."s_store_name" = "v1_lag"."s_store_name"
JOIN "v1" AS "v1_lead"
ON "v1"."i_brand" = "v1_lead"."i_brand"
AND "v1"."i_category" = "v1_lead"."i_category"
AND "v1"."rn" = "v1_lead"."rn" - 1
AND "v1"."s_company_name" = "v1_lead"."s_company_name"
AND "v1"."s_store_name" = "v1_lead"."s_store_name"
WHERE
"v1"."avg_monthly_sales" > 0
AND "v1"."d_year" = 1999
AND CASE
WHEN "v1"."avg_monthly_sales" > 0
THEN ABS("v1"."sum_sales" - "v1"."avg_monthly_sales") / "v1"."avg_monthly_sales"
ELSE NULL
END > 0.1
ORDER BY
"v1"."sum_sales" - "v1"."avg_monthly_sales",
"d_moy"
LIMIT 100;
--------------------------------------
-- TPC-DS 48
--------------------------------------
# execute: true
SELECT Sum (ss_quantity) AS "_col_0"
FROM store_sales,
store,
customer_demographics,
customer_address,
date_dim
WHERE s_store_sk = ss_store_sk
AND ss_sold_date_sk = d_date_sk
AND d_year = 1999
AND ( ( cd_demo_sk = ss_cdemo_sk
AND cd_marital_status = 'W'
AND cd_education_status = 'Secondary'
AND ss_sales_price BETWEEN 100.00 AND 150.00 )
OR ( cd_demo_sk = ss_cdemo_sk
AND cd_marital_status = 'M'
AND cd_education_status = 'Advanced Degree'
AND ss_sales_price BETWEEN 50.00 AND 100.00 )
OR ( cd_demo_sk = ss_cdemo_sk
AND cd_marital_status = 'D'
AND cd_education_status = '2 yr Degree'
AND ss_sales_price BETWEEN 150.00 AND 200.00 ) )
AND ( ( ss_addr_sk = ca_address_sk
AND ca_country = 'United States'
AND ca_state IN ( 'TX', 'NE', 'MO' )
AND ss_net_profit BETWEEN 0 AND 2000 )
OR ( ss_addr_sk = ca_address_sk
AND ca_country = 'United States'
AND ca_state IN ( 'CO', 'TN', 'ND' )
AND ss_net_profit BETWEEN 150 AND 3000 )
OR ( ss_addr_sk = ca_address_sk
AND ca_country = 'United States'
AND ca_state IN ( 'OK', 'PA', 'CA' )
AND ss_net_profit BETWEEN 50 AND 25000 ) );
SELECT
SUM("store_sales"."ss_quantity") AS "_col_0"
FROM "store_sales" AS "store_sales"
JOIN "customer_address" AS "customer_address"
ON (
"customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
AND "customer_address"."ca_country" = 'United States'
AND "customer_address"."ca_state" IN ('CO', 'TN', 'ND')
AND "store_sales"."ss_net_profit" <= 3000
AND "store_sales"."ss_net_profit" >= 150
)
OR (
"customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
AND "customer_address"."ca_country" = 'United States'
AND "customer_address"."ca_state" IN ('OK', 'PA', 'CA')
AND "store_sales"."ss_net_profit" <= 25000
AND "store_sales"."ss_net_profit" >= 50
)
OR (
"customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
AND "customer_address"."ca_country" = 'United States'
AND "customer_address"."ca_state" IN ('TX', 'NE', 'MO')
AND "store_sales"."ss_net_profit" <= 2000
AND "store_sales"."ss_net_profit" >= 0
)
JOIN "customer_demographics" AS "customer_demographics"
ON (
"customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "customer_demographics"."cd_education_status" = '2 yr Degree'
AND "customer_demographics"."cd_marital_status" = 'D'
AND "store_sales"."ss_sales_price" <= 200.00
AND "store_sales"."ss_sales_price" >= 150.00
)
OR (
"customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "customer_demographics"."cd_education_status" = 'Advanced Degree'
AND "customer_demographics"."cd_marital_status" = 'M'
AND "store_sales"."ss_sales_price" <= 100.00
AND "store_sales"."ss_sales_price" >= 50.00
)
OR (
"customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
AND "customer_demographics"."cd_education_status" = 'Secondary'
AND "customer_demographics"."cd_marital_status" = 'W'
AND "store_sales"."ss_sales_price" <= 150.00
AND "store_sales"."ss_sales_price" >= 100.00
)
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" = 1999
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk";
--------------------------------------
-- TPC-DS 49
--------------------------------------
SELECT 'web' AS channel,
web.item,
web.return_ratio,
web.return_rank,
web.currency_rank
FROM (SELECT item,
return_ratio,
currency_ratio,
Rank()
OVER (
ORDER BY return_ratio) AS return_rank,
Rank()
OVER (
ORDER BY currency_ratio) AS currency_rank
FROM (SELECT ws.ws_item_sk AS
item,
( Cast(Sum(COALESCE(wr.wr_return_quantity, 0)) AS DEC(15,
4)) /
Cast(
Sum(COALESCE(ws.ws_quantity, 0)) AS DEC(15, 4)) ) AS
return_ratio,
( Cast(Sum(COALESCE(wr.wr_return_amt, 0)) AS DEC(15, 4))
/ Cast(
Sum(
COALESCE(ws.ws_net_paid, 0)) AS DEC(15,
4)) ) AS
currency_ratio
FROM web_sales ws
LEFT OUTER JOIN web_returns wr
ON ( ws.ws_order_number = wr.wr_order_number
AND ws.ws_item_sk = wr.wr_item_sk ),
date_dim
WHERE wr.wr_return_amt > 10000
AND ws.ws_net_profit > 1
AND ws.ws_net_paid > 0
AND ws.ws_quantity > 0
AND ws_sold_date_sk = d_date_sk
AND d_year = 1999
AND d_moy = 12
GROUP BY ws.ws_item_sk) in_web) web
WHERE ( web.return_rank <= 10
OR web.currency_rank <= 10 )
UNION
SELECT 'catalog' AS channel,
catalog.item,
catalog.return_ratio,
catalog.return_rank,
catalog.currency_rank
FROM (SELECT item,
return_ratio,
currency_ratio,
Rank()
OVER (
ORDER BY return_ratio) AS return_rank,
Rank()
OVER (
ORDER BY currency_ratio) AS currency_rank
FROM (SELECT cs.cs_item_sk AS
item,
( Cast(Sum(COALESCE(cr.cr_return_quantity, 0)) AS DEC(15,
4)) /
Cast(
Sum(COALESCE(cs.cs_quantity, 0)) AS DEC(15, 4)) ) AS
return_ratio,
( Cast(Sum(COALESCE(cr.cr_return_amount, 0)) AS DEC(15, 4
)) /
Cast(Sum(
COALESCE(cs.cs_net_paid, 0)) AS DEC(
15, 4)) ) AS
currency_ratio
FROM catalog_sales cs
LEFT OUTER JOIN catalog_returns cr
ON ( cs.cs_order_number = cr.cr_order_number
AND cs.cs_item_sk = cr.cr_item_sk ),
date_dim
WHERE cr.cr_return_amount > 10000
AND cs.cs_net_profit > 1
AND cs.cs_net_paid > 0
AND cs.cs_quantity > 0
AND cs_sold_date_sk = d_date_sk
AND d_year = 1999
AND d_moy = 12
GROUP BY cs.cs_item_sk) in_cat) catalog
WHERE ( catalog.return_rank <= 10
OR catalog.currency_rank <= 10 )
UNION
SELECT 'store' AS channel,
store.item,
store.return_ratio,
store.return_rank,
store.currency_rank
FROM (SELECT item,
return_ratio,
currency_ratio,
Rank()
OVER (
ORDER BY return_ratio) AS return_rank,
Rank()
OVER (
ORDER BY currency_ratio) AS currency_rank
FROM (SELECT sts.ss_item_sk AS
item,
( Cast(Sum(COALESCE(sr.sr_return_quantity, 0)) AS DEC(15,
4)) /
Cast(
Sum(COALESCE(sts.ss_quantity, 0)) AS DEC(15, 4)) ) AS
return_ratio,
( Cast(Sum(COALESCE(sr.sr_return_amt, 0)) AS DEC(15, 4))
/ Cast(
Sum(
COALESCE(sts.ss_net_paid, 0)) AS DEC(15, 4)) ) AS
currency_ratio
FROM store_sales sts
LEFT OUTER JOIN store_returns sr
ON ( sts.ss_ticket_number =
sr.sr_ticket_number
AND sts.ss_item_sk = sr.sr_item_sk ),
date_dim
WHERE sr.sr_return_amt > 10000
AND sts.ss_net_profit > 1
AND sts.ss_net_paid > 0
AND sts.ss_quantity > 0
AND ss_sold_date_sk = d_date_sk
AND d_year = 1999
AND d_moy = 12
GROUP BY sts.ss_item_sk) in_store) store
WHERE ( store.return_rank <= 10
OR store.currency_rank <= 10 )
ORDER BY 1,
4,
5
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 1999
), "in_web" AS (
SELECT
"ws"."ws_item_sk" AS "item",
CAST(SUM(COALESCE("wr"."wr_return_quantity", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("ws"."ws_quantity", 0)) AS DECIMAL(15, 4)) AS "return_ratio",
CAST(SUM(COALESCE("wr"."wr_return_amt", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("ws"."ws_net_paid", 0)) AS DECIMAL(15, 4)) AS "currency_ratio"
FROM "web_sales" AS "ws"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "ws"."ws_sold_date_sk"
LEFT JOIN "web_returns" AS "wr"
ON "wr"."wr_item_sk" = "ws"."ws_item_sk"
AND "wr"."wr_order_number" = "ws"."ws_order_number"
WHERE
"wr"."wr_return_amt" > 10000
AND "ws"."ws_net_paid" > 0
AND "ws"."ws_net_profit" > 1
AND "ws"."ws_quantity" > 0
GROUP BY
"ws"."ws_item_sk"
), "web" AS (
SELECT
"in_web"."item" AS "item",
"in_web"."return_ratio" AS "return_ratio",
RANK() OVER (ORDER BY "in_web"."return_ratio") AS "return_rank",
RANK() OVER (ORDER BY "in_web"."currency_ratio") AS "currency_rank"
FROM "in_web" AS "in_web"
), "in_cat" AS (
SELECT
"cs"."cs_item_sk" AS "item",
CAST(SUM(COALESCE("cr"."cr_return_quantity", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("cs"."cs_quantity", 0)) AS DECIMAL(15, 4)) AS "return_ratio",
CAST(SUM(COALESCE("cr"."cr_return_amount", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("cs"."cs_net_paid", 0)) AS DECIMAL(15, 4)) AS "currency_ratio"
FROM "catalog_sales" AS "cs"
LEFT JOIN "catalog_returns" AS "cr"
ON "cr"."cr_item_sk" = "cs"."cs_item_sk"
AND "cr"."cr_order_number" = "cs"."cs_order_number"
JOIN "date_dim_2" AS "date_dim"
ON "cs"."cs_sold_date_sk" = "date_dim"."d_date_sk"
WHERE
"cr"."cr_return_amount" > 10000
AND "cs"."cs_net_paid" > 0
AND "cs"."cs_net_profit" > 1
AND "cs"."cs_quantity" > 0
GROUP BY
"cs"."cs_item_sk"
), "catalog" AS (
SELECT
"in_cat"."item" AS "item",
"in_cat"."return_ratio" AS "return_ratio",
RANK() OVER (ORDER BY "in_cat"."return_ratio") AS "return_rank",
RANK() OVER (ORDER BY "in_cat"."currency_ratio") AS "currency_rank"
FROM "in_cat" AS "in_cat"
), "in_store" AS (
SELECT
"sts"."ss_item_sk" AS "item",
CAST(SUM(COALESCE("sr"."sr_return_quantity", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("sts"."ss_quantity", 0)) AS DECIMAL(15, 4)) AS "return_ratio",
CAST(SUM(COALESCE("sr"."sr_return_amt", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("sts"."ss_net_paid", 0)) AS DECIMAL(15, 4)) AS "currency_ratio"
FROM "store_sales" AS "sts"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "sts"."ss_sold_date_sk"
LEFT JOIN "store_returns" AS "sr"
ON "sr"."sr_item_sk" = "sts"."ss_item_sk"
AND "sr"."sr_ticket_number" = "sts"."ss_ticket_number"
WHERE
"sr"."sr_return_amt" > 10000
AND "sts"."ss_net_paid" > 0
AND "sts"."ss_net_profit" > 1
AND "sts"."ss_quantity" > 0
GROUP BY
"sts"."ss_item_sk"
), "store" AS (
SELECT
"in_store"."item" AS "item",
"in_store"."return_ratio" AS "return_ratio",
RANK() OVER (ORDER BY "in_store"."return_ratio") AS "return_rank",
RANK() OVER (ORDER BY "in_store"."currency_ratio") AS "currency_rank"
FROM "in_store" AS "in_store"
)
SELECT
'web' AS "channel",
"web"."item" AS "item",
"web"."return_ratio" AS "return_ratio",
"web"."return_rank" AS "return_rank",
"web"."currency_rank" AS "currency_rank"
FROM "web" AS "web"
WHERE
"web"."currency_rank" <= 10 OR "web"."return_rank" <= 10
UNION
SELECT
'catalog' AS "channel",
"catalog"."item" AS "item",
"catalog"."return_ratio" AS "return_ratio",
"catalog"."return_rank" AS "return_rank",
"catalog"."currency_rank" AS "currency_rank"
FROM "catalog" AS "catalog"
WHERE
"catalog"."currency_rank" <= 10 OR "catalog"."return_rank" <= 10
UNION
SELECT
'store' AS "channel",
"store"."item" AS "item",
"store"."return_ratio" AS "return_ratio",
"store"."return_rank" AS "return_rank",
"store"."currency_rank" AS "currency_rank"
FROM "store" AS "store"
WHERE
"store"."currency_rank" <= 10 OR "store"."return_rank" <= 10
ORDER BY
"channel",
"return_rank",
"currency_rank"
LIMIT 100;
--------------------------------------
-- TPC-DS 50
--------------------------------------
# execute: true
SELECT s_store_name,
s_company_id,
s_street_number,
s_street_name,
s_street_type,
s_suite_number,
s_city,
s_county,
s_state,
s_zip,
Sum(CASE
WHEN ( sr_returned_date_sk - ss_sold_date_sk <= 30 ) THEN 1
ELSE 0
END) AS "30 days",
Sum(CASE
WHEN ( sr_returned_date_sk - ss_sold_date_sk > 30 )
AND ( sr_returned_date_sk - ss_sold_date_sk <= 60 )
THEN 1
ELSE 0
END) AS "31-60 days",
Sum(CASE
WHEN ( sr_returned_date_sk - ss_sold_date_sk > 60 )
AND ( sr_returned_date_sk - ss_sold_date_sk <= 90 )
THEN 1
ELSE 0
END) AS "61-90 days",
Sum(CASE
WHEN ( sr_returned_date_sk - ss_sold_date_sk > 90 )
AND ( sr_returned_date_sk - ss_sold_date_sk <= 120 )
THEN 1
ELSE 0
END) AS "91-120 days",
Sum(CASE
WHEN ( sr_returned_date_sk - ss_sold_date_sk > 120 ) THEN 1
ELSE 0
END) AS ">120 days"
FROM store_sales,
store_returns,
store,
date_dim d1,
date_dim d2
WHERE d2.d_year = 2002
AND d2.d_moy = 9
AND ss_ticket_number = sr_ticket_number
AND ss_item_sk = sr_item_sk
AND ss_sold_date_sk = d1.d_date_sk
AND sr_returned_date_sk = d2.d_date_sk
AND ss_customer_sk = sr_customer_sk
AND ss_store_sk = s_store_sk
GROUP BY s_store_name,
s_company_id,
s_street_number,
s_street_name,
s_street_type,
s_suite_number,
s_city,
s_county,
s_state,
s_zip
ORDER BY s_store_name,
s_company_id,
s_street_number,
s_street_name,
s_street_type,
s_suite_number,
s_city,
s_county,
s_state,
s_zip
LIMIT 100;
SELECT
"store"."s_store_name" AS "s_store_name",
"store"."s_company_id" AS "s_company_id",
"store"."s_street_number" AS "s_street_number",
"store"."s_street_name" AS "s_street_name",
"store"."s_street_type" AS "s_street_type",
"store"."s_suite_number" AS "s_suite_number",
"store"."s_city" AS "s_city",
"store"."s_county" AS "s_county",
"store"."s_state" AS "s_state",
"store"."s_zip" AS "s_zip",
SUM(
CASE
WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" <= 30
THEN 1
ELSE 0
END
) AS "30 days",
SUM(
CASE
WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" <= 60
AND "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" > 30
THEN 1
ELSE 0
END
) AS "31-60 days",
SUM(
CASE
WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" <= 90
AND "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" > 60
THEN 1
ELSE 0
END
) AS "61-90 days",
SUM(
CASE
WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" <= 120
AND "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" > 90
THEN 1
ELSE 0
END
) AS "91-120 days",
SUM(
CASE
WHEN "store_returns"."sr_returned_date_sk" - "store_sales"."ss_sold_date_sk" > 120
THEN 1
ELSE 0
END
) AS ">120 days"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_customer_sk" = "store_sales"."ss_customer_sk"
AND "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
JOIN "date_dim" AS "d2"
ON "d2"."d_date_sk" = "store_returns"."sr_returned_date_sk"
AND "d2"."d_moy" = 9
AND "d2"."d_year" = 2002
GROUP BY
"store"."s_store_name",
"store"."s_company_id",
"store"."s_street_number",
"store"."s_street_name",
"store"."s_street_type",
"store"."s_suite_number",
"store"."s_city",
"store"."s_county",
"store"."s_state",
"store"."s_zip"
ORDER BY
"s_store_name",
"s_company_id",
"s_street_number",
"s_street_name",
"s_street_type",
"s_suite_number",
"s_city",
"s_county",
"s_state",
"s_zip"
LIMIT 100;
--------------------------------------
-- TPC-DS 51
--------------------------------------
WITH web_v1 AS
(
SELECT ws_item_sk item_sk,
d_date,
sum(Sum(ws_sales_price)) OVER (partition BY ws_item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) cume_sales
FROM web_sales ,
date_dim
WHERE ws_sold_date_sk=d_date_sk
AND d_month_seq BETWEEN 1192 AND 1192+11
AND ws_item_sk IS NOT NULL
GROUP BY ws_item_sk,
d_date), store_v1 AS
(
SELECT ss_item_sk item_sk,
d_date,
sum(sum(ss_sales_price)) OVER (partition BY ss_item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) cume_sales
FROM store_sales ,
date_dim
WHERE ss_sold_date_sk=d_date_sk
AND d_month_seq BETWEEN 1192 AND 1192+11
AND ss_item_sk IS NOT NULL
GROUP BY ss_item_sk,
d_date)
SELECT
*
FROM (
SELECT item_sk ,
d_date ,
web_sales ,
store_sales ,
max(web_sales) OVER (partition BY item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) web_cumulative ,
max(store_sales) OVER (partition BY item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) store_cumulative
FROM (
SELECT
CASE
WHEN web.item_sk IS NOT NULL THEN web.item_sk
ELSE store.item_sk
END item_sk ,
CASE
WHEN web.d_date IS NOT NULL THEN web.d_date
ELSE store.d_date
END d_date ,
web.cume_sales web_sales ,
store.cume_sales store_sales
FROM web_v1 web
FULL OUTER JOIN store_v1 store
ON (
web.item_sk = store.item_sk
AND web.d_date = store.d_date) )x )y
WHERE web_cumulative > store_cumulative
ORDER BY item_sk ,
d_date
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date",
"date_dim"."d_month_seq" AS "d_month_seq"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_month_seq" <= 1203 AND "date_dim"."d_month_seq" >= 1192
), "web_v1" AS (
SELECT
"web_sales"."ws_item_sk" AS "item_sk",
"date_dim"."d_date" AS "d_date",
SUM(SUM("web_sales"."ws_sales_price")) OVER (
PARTITION BY "web_sales"."ws_item_sk"
ORDER BY "date_dim"."d_date"
rows BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS "cume_sales"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
WHERE
NOT "web_sales"."ws_item_sk" IS NULL
GROUP BY
"web_sales"."ws_item_sk",
"date_dim"."d_date"
), "store_v1" AS (
SELECT
"store_sales"."ss_item_sk" AS "item_sk",
"date_dim"."d_date" AS "d_date",
SUM(SUM("store_sales"."ss_sales_price")) OVER (
PARTITION BY "store_sales"."ss_item_sk"
ORDER BY "date_dim"."d_date"
rows BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS "cume_sales"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
WHERE
NOT "store_sales"."ss_item_sk" IS NULL
GROUP BY
"store_sales"."ss_item_sk",
"date_dim"."d_date"
), "y" AS (
SELECT
CASE
WHEN NOT "web"."item_sk" IS NULL
THEN "web"."item_sk"
ELSE "store"."item_sk"
END AS "item_sk",
CASE WHEN NOT "web"."d_date" IS NULL THEN "web"."d_date" ELSE "store"."d_date" END AS "d_date",
"web"."cume_sales" AS "web_sales",
"store"."cume_sales" AS "store_sales",
MAX("web"."cume_sales") OVER (
PARTITION BY CASE
WHEN NOT "web"."item_sk" IS NULL
THEN "web"."item_sk"
ELSE "store"."item_sk"
END
ORDER BY CASE WHEN NOT "web"."d_date" IS NULL THEN "web"."d_date" ELSE "store"."d_date" END
rows BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS "web_cumulative",
MAX("store"."cume_sales") OVER (
PARTITION BY CASE
WHEN NOT "web"."item_sk" IS NULL
THEN "web"."item_sk"
ELSE "store"."item_sk"
END
ORDER BY CASE WHEN NOT "web"."d_date" IS NULL THEN "web"."d_date" ELSE "store"."d_date" END
rows BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
) AS "store_cumulative"
FROM "web_v1" AS "web"
FULL JOIN "store_v1" AS "store"
ON "store"."d_date" = "web"."d_date" AND "store"."item_sk" = "web"."item_sk"
)
SELECT
"y"."item_sk" AS "item_sk",
"y"."d_date" AS "d_date",
"y"."web_sales" AS "web_sales",
"y"."store_sales" AS "store_sales",
"y"."web_cumulative" AS "web_cumulative",
"y"."store_cumulative" AS "store_cumulative"
FROM "y" AS "y"
WHERE
"y"."store_cumulative" < "y"."web_cumulative"
ORDER BY
"y"."item_sk",
"y"."d_date"
LIMIT 100;
--------------------------------------
-- TPC-DS 52
--------------------------------------
# execute: true
SELECT dt.d_year,
item.i_brand_id brand_id,
item.i_brand brand,
Sum(ss_ext_sales_price) ext_price
FROM date_dim dt,
store_sales,
item
WHERE dt.d_date_sk = store_sales.ss_sold_date_sk
AND store_sales.ss_item_sk = item.i_item_sk
AND item.i_manager_id = 1
AND dt.d_moy = 11
AND dt.d_year = 1999
GROUP BY dt.d_year,
item.i_brand,
item.i_brand_id
ORDER BY dt.d_year,
ext_price DESC,
brand_id
LIMIT 100;
SELECT
"dt"."d_year" AS "d_year",
"item"."i_brand_id" AS "brand_id",
"item"."i_brand" AS "brand",
SUM("store_sales"."ss_ext_sales_price") AS "ext_price"
FROM "date_dim" AS "dt"
JOIN "store_sales" AS "store_sales"
ON "dt"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk" AND "item"."i_manager_id" = 1
WHERE
"dt"."d_moy" = 11 AND "dt"."d_year" = 1999
GROUP BY
"dt"."d_year",
"item"."i_brand",
"item"."i_brand_id"
ORDER BY
"d_year",
"ext_price" DESC,
"brand_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 53
--------------------------------------
SELECT *
FROM (SELECT i_manufact_id,
Sum(ss_sales_price) sum_sales,
Avg(Sum(ss_sales_price))
OVER (
partition BY i_manufact_id) avg_quarterly_sales
FROM item,
store_sales,
date_dim,
store
WHERE ss_item_sk = i_item_sk
AND ss_sold_date_sk = d_date_sk
AND ss_store_sk = s_store_sk
AND d_month_seq IN ( 1199, 1199 + 1, 1199 + 2, 1199 + 3,
1199 + 4, 1199 + 5, 1199 + 6, 1199 + 7,
1199 + 8, 1199 + 9, 1199 + 10, 1199 + 11 )
AND ( ( i_category IN ( 'Books', 'Children', 'Electronics' )
AND i_class IN ( 'personal', 'portable', 'reference',
'self-help' )
AND i_brand IN ( 'scholaramalgamalg #14',
'scholaramalgamalg #7'
,
'exportiunivamalg #9',
'scholaramalgamalg #9' )
)
OR ( i_category IN ( 'Women', 'Music', 'Men' )
AND i_class IN ( 'accessories', 'classical',
'fragrances',
'pants' )
AND i_brand IN ( 'amalgimporto #1',
'edu packscholar #1',
'exportiimporto #1',
'importoamalg #1' ) ) )
GROUP BY i_manufact_id,
d_qoy) tmp1
WHERE CASE
WHEN avg_quarterly_sales > 0 THEN Abs (sum_sales - avg_quarterly_sales)
/
avg_quarterly_sales
ELSE NULL
END > 0.1
ORDER BY avg_quarterly_sales,
sum_sales,
i_manufact_id
LIMIT 100;
WITH "tmp1" AS (
SELECT
"item"."i_manufact_id" AS "i_manufact_id",
SUM("store_sales"."ss_sales_price") AS "sum_sales",
AVG(SUM("store_sales"."ss_sales_price")) OVER (PARTITION BY "item"."i_manufact_id") AS "avg_quarterly_sales"
FROM "item" AS "item"
JOIN "store_sales" AS "store_sales"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_month_seq" IN (1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210)
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
WHERE
(
"item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')
OR "item"."i_brand" IN (
'scholaramalgamalg #14',
'scholaramalgamalg #7',
'exportiunivamalg #9',
'scholaramalgamalg #9'
)
)
AND (
"item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')
OR "item"."i_category" IN ('Books', 'Children', 'Electronics')
)
AND (
"item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')
OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help')
)
AND (
"item"."i_brand" IN (
'scholaramalgamalg #14',
'scholaramalgamalg #7',
'exportiunivamalg #9',
'scholaramalgamalg #9'
)
OR "item"."i_category" IN ('Women', 'Music', 'Men')
)
AND (
"item"."i_brand" IN (
'scholaramalgamalg #14',
'scholaramalgamalg #7',
'exportiunivamalg #9',
'scholaramalgamalg #9'
)
OR "item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants')
)
AND (
"item"."i_category" IN ('Books', 'Children', 'Electronics')
OR "item"."i_category" IN ('Women', 'Music', 'Men')
)
AND (
"item"."i_category" IN ('Books', 'Children', 'Electronics')
OR "item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants')
)
AND (
"item"."i_category" IN ('Women', 'Music', 'Men')
OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help')
)
AND (
"item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants')
OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help')
)
GROUP BY
"item"."i_manufact_id",
"date_dim"."d_qoy"
)
SELECT
"tmp1"."i_manufact_id" AS "i_manufact_id",
"tmp1"."sum_sales" AS "sum_sales",
"tmp1"."avg_quarterly_sales" AS "avg_quarterly_sales"
FROM "tmp1" AS "tmp1"
WHERE
CASE
WHEN "tmp1"."avg_quarterly_sales" > 0
THEN ABS("tmp1"."sum_sales" - "tmp1"."avg_quarterly_sales") / "tmp1"."avg_quarterly_sales"
ELSE NULL
END > 0.1
ORDER BY
"tmp1"."avg_quarterly_sales",
"tmp1"."sum_sales",
"tmp1"."i_manufact_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 54
--------------------------------------
# execute: true
WITH my_customers
AS (SELECT DISTINCT c_customer_sk,
c_current_addr_sk
FROM (SELECT cs_sold_date_sk sold_date_sk,
cs_bill_customer_sk customer_sk,
cs_item_sk item_sk
FROM catalog_sales
UNION ALL
SELECT ws_sold_date_sk sold_date_sk,
ws_bill_customer_sk customer_sk,
ws_item_sk item_sk
FROM web_sales) cs_or_ws_sales,
item,
date_dim,
customer
WHERE sold_date_sk = d_date_sk
AND item_sk = i_item_sk
AND i_category = 'Sports'
AND i_class = 'fitness'
AND c_customer_sk = cs_or_ws_sales.customer_sk
AND d_moy = 5
AND d_year = 2000),
my_revenue
AS (SELECT c_customer_sk,
Sum(ss_ext_sales_price) AS revenue
FROM my_customers,
store_sales,
customer_address,
store,
date_dim
WHERE c_current_addr_sk = ca_address_sk
AND ca_county = s_county
AND ca_state = s_state
AND ss_sold_date_sk = d_date_sk
AND c_customer_sk = ss_customer_sk
AND d_month_seq BETWEEN (SELECT DISTINCT d_month_seq + 1
FROM date_dim
WHERE d_year = 2000
AND d_moy = 5) AND
(SELECT DISTINCT
d_month_seq + 3
FROM date_dim
WHERE d_year = 2000
AND d_moy = 5)
GROUP BY c_customer_sk),
segments
AS (SELECT Cast(( revenue / 50 ) AS INT) AS segment
FROM my_revenue)
SELECT segment,
Count(*) AS num_customers,
segment * 50 AS segment_base
FROM segments
GROUP BY segment
ORDER BY segment,
num_customers
LIMIT 100;
WITH "cs_or_ws_sales" AS (
SELECT
"catalog_sales"."cs_sold_date_sk" AS "sold_date_sk",
"catalog_sales"."cs_bill_customer_sk" AS "customer_sk",
"catalog_sales"."cs_item_sk" AS "item_sk"
FROM "catalog_sales" AS "catalog_sales"
UNION ALL
SELECT
"web_sales"."ws_sold_date_sk" AS "sold_date_sk",
"web_sales"."ws_bill_customer_sk" AS "customer_sk",
"web_sales"."ws_item_sk" AS "item_sk"
FROM "web_sales" AS "web_sales"
), "my_customers" AS (
SELECT DISTINCT
"customer"."c_customer_sk" AS "c_customer_sk",
"customer"."c_current_addr_sk" AS "c_current_addr_sk"
FROM "cs_or_ws_sales" AS "cs_or_ws_sales"
JOIN "customer" AS "customer"
ON "cs_or_ws_sales"."customer_sk" = "customer"."c_customer_sk"
JOIN "date_dim" AS "date_dim"
ON "cs_or_ws_sales"."sold_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_moy" = 5
AND "date_dim"."d_year" = 2000
JOIN "item" AS "item"
ON "cs_or_ws_sales"."item_sk" = "item"."i_item_sk"
AND "item"."i_category" = 'Sports'
AND "item"."i_class" = 'fitness'
), "_u_0" AS (
SELECT DISTINCT
"date_dim"."d_month_seq" + 1 AS "_col_0"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 5 AND "date_dim"."d_year" = 2000
), "_u_1" AS (
SELECT DISTINCT
"date_dim"."d_month_seq" + 3 AS "_col_0"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 5 AND "date_dim"."d_year" = 2000
), "my_revenue" AS (
SELECT
SUM("store_sales"."ss_ext_sales_price") AS "revenue"
FROM "my_customers" AS "my_customers"
JOIN "customer_address" AS "customer_address"
ON "customer_address"."ca_address_sk" = "my_customers"."c_current_addr_sk"
JOIN "store_sales" AS "store_sales"
ON "my_customers"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "store" AS "store"
ON "customer_address"."ca_county" = "store"."s_county"
AND "customer_address"."ca_state" = "store"."s_state"
JOIN "_u_0" AS "_u_0"
ON "_u_0"."_col_0" <= "date_dim"."d_month_seq"
JOIN "_u_1" AS "_u_1"
ON "_u_1"."_col_0" >= "date_dim"."d_month_seq"
GROUP BY
"my_customers"."c_customer_sk"
)
SELECT
CAST((
"my_revenue"."revenue" / 50
) AS INT) AS "segment",
COUNT(*) AS "num_customers",
CAST((
"my_revenue"."revenue" / 50
) AS INT) * 50 AS "segment_base"
FROM "my_revenue" AS "my_revenue"
GROUP BY
CAST((
"my_revenue"."revenue" / 50
) AS INT)
ORDER BY
"segment",
"num_customers"
LIMIT 100;
--------------------------------------
-- TPC-DS 55
--------------------------------------
# execute: true
SELECT i_brand_id brand_id,
i_brand brand,
Sum(ss_ext_sales_price) ext_price
FROM date_dim,
store_sales,
item
WHERE d_date_sk = ss_sold_date_sk
AND ss_item_sk = i_item_sk
AND i_manager_id = 33
AND d_moy = 12
AND d_year = 1998
GROUP BY i_brand,
i_brand_id
ORDER BY ext_price DESC,
i_brand_id
LIMIT 100;
SELECT
"item"."i_brand_id" AS "brand_id",
"item"."i_brand" AS "brand",
SUM("store_sales"."ss_ext_sales_price") AS "ext_price"
FROM "date_dim" AS "date_dim"
JOIN "store_sales" AS "store_sales"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk" AND "item"."i_manager_id" = 33
WHERE
"date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 1998
GROUP BY
"item"."i_brand",
"item"."i_brand_id"
ORDER BY
"ext_price" DESC,
"brand_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 56
--------------------------------------
# execute: true
WITH ss
AS (SELECT i_item_id,
Sum(ss_ext_sales_price) total_sales
FROM store_sales,
date_dim,
customer_address,
item
WHERE i_item_id IN (SELECT i_item_id
FROM item
WHERE i_color IN ( 'firebrick', 'rosy', 'white' )
)
AND ss_item_sk = i_item_sk
AND ss_sold_date_sk = d_date_sk
AND d_year = 1998
AND d_moy = 3
AND ss_addr_sk = ca_address_sk
AND ca_gmt_offset = -6
GROUP BY i_item_id),
cs
AS (SELECT i_item_id,
Sum(cs_ext_sales_price) total_sales
FROM catalog_sales,
date_dim,
customer_address,
item
WHERE i_item_id IN (SELECT i_item_id
FROM item
WHERE i_color IN ( 'firebrick', 'rosy', 'white' )
)
AND cs_item_sk = i_item_sk
AND cs_sold_date_sk = d_date_sk
AND d_year = 1998
AND d_moy = 3
AND cs_bill_addr_sk = ca_address_sk
AND ca_gmt_offset = -6
GROUP BY i_item_id),
ws
AS (SELECT i_item_id,
Sum(ws_ext_sales_price) total_sales
FROM web_sales,
date_dim,
customer_address,
item
WHERE i_item_id IN (SELECT i_item_id
FROM item
WHERE i_color IN ( 'firebrick', 'rosy', 'white' )
)
AND ws_item_sk = i_item_sk
AND ws_sold_date_sk = d_date_sk
AND d_year = 1998
AND d_moy = 3
AND ws_bill_addr_sk = ca_address_sk
AND ca_gmt_offset = -6
GROUP BY i_item_id)
SELECT i_item_id,
Sum(total_sales) total_sales
FROM (SELECT *
FROM ss
UNION ALL
SELECT *
FROM cs
UNION ALL
SELECT *
FROM ws) tmp1
GROUP BY i_item_id
ORDER BY total_sales
LIMIT 100;
WITH "customer_address_2" AS (
SELECT
"customer_address"."ca_address_sk" AS "ca_address_sk",
"customer_address"."ca_gmt_offset" AS "ca_gmt_offset"
FROM "customer_address" AS "customer_address"
WHERE
"customer_address"."ca_gmt_offset" = -6
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 3 AND "date_dim"."d_year" = 1998
), "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_item_id" AS "i_item_id"
FROM "item" AS "item"
), "_u_0" AS (
SELECT
"item"."i_item_id" AS "i_item_id"
FROM "item" AS "item"
WHERE
"item"."i_color" IN ('firebrick', 'rosy', 'white')
GROUP BY
"item"."i_item_id"
), "ss" AS (
SELECT
"item"."i_item_id" AS "i_item_id",
SUM("store_sales"."ss_ext_sales_price") AS "total_sales"
FROM "store_sales" AS "store_sales"
JOIN "customer_address_2" AS "customer_address"
ON "customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."i_item_id" = "item"."i_item_id"
WHERE
NOT "_u_0"."i_item_id" IS NULL
GROUP BY
"item"."i_item_id"
), "cs" AS (
SELECT
"item"."i_item_id" AS "i_item_id",
SUM("catalog_sales"."cs_ext_sales_price") AS "total_sales"
FROM "catalog_sales" AS "catalog_sales"
JOIN "customer_address_2" AS "customer_address"
ON "catalog_sales"."cs_bill_addr_sk" = "customer_address"."ca_address_sk"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "item_2" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
LEFT JOIN "_u_0" AS "_u_1"
ON "_u_1"."i_item_id" = "item"."i_item_id"
WHERE
NOT "_u_1"."i_item_id" IS NULL
GROUP BY
"item"."i_item_id"
), "ws" AS (
SELECT
"item"."i_item_id" AS "i_item_id",
SUM("web_sales"."ws_ext_sales_price") AS "total_sales"
FROM "web_sales" AS "web_sales"
JOIN "customer_address_2" AS "customer_address"
ON "customer_address"."ca_address_sk" = "web_sales"."ws_bill_addr_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
LEFT JOIN "_u_0" AS "_u_2"
ON "_u_2"."i_item_id" = "item"."i_item_id"
WHERE
NOT "_u_2"."i_item_id" IS NULL
GROUP BY
"item"."i_item_id"
), "tmp1" AS (
SELECT
"ss"."i_item_id" AS "i_item_id",
"ss"."total_sales" AS "total_sales"
FROM "ss" AS "ss"
UNION ALL
SELECT
"cs"."i_item_id" AS "i_item_id",
"cs"."total_sales" AS "total_sales"
FROM "cs" AS "cs"
UNION ALL
SELECT
"ws"."i_item_id" AS "i_item_id",
"ws"."total_sales" AS "total_sales"
FROM "ws" AS "ws"
)
SELECT
"tmp1"."i_item_id" AS "i_item_id",
SUM("tmp1"."total_sales") AS "total_sales"
FROM "tmp1" AS "tmp1"
GROUP BY
"tmp1"."i_item_id"
ORDER BY
"total_sales"
LIMIT 100;
--------------------------------------
-- TPC-DS 57
--------------------------------------
WITH v1
AS (SELECT i_category,
i_brand,
cc_name,
d_year,
d_moy,
Sum(cs_sales_price) sum_sales
,
Avg(Sum(cs_sales_price))
OVER (
partition BY i_category, i_brand, cc_name, d_year)
avg_monthly_sales
,
Rank()
OVER (
partition BY i_category, i_brand, cc_name
ORDER BY d_year, d_moy) rn
FROM item,
catalog_sales,
date_dim,
call_center
WHERE cs_item_sk = i_item_sk
AND cs_sold_date_sk = d_date_sk
AND cc_call_center_sk = cs_call_center_sk
AND ( d_year = 2000
OR ( d_year = 2000 - 1
AND d_moy = 12 )
OR ( d_year = 2000 + 1
AND d_moy = 1 ) )
GROUP BY i_category,
i_brand,
cc_name,
d_year,
d_moy),
v2
AS (SELECT v1.i_brand,
v1.d_year,
v1.avg_monthly_sales,
v1.sum_sales,
v1_lag.sum_sales psum,
v1_lead.sum_sales nsum
FROM v1,
v1 v1_lag,
v1 v1_lead
WHERE v1.i_category = v1_lag.i_category
AND v1.i_category = v1_lead.i_category
AND v1.i_brand = v1_lag.i_brand
AND v1.i_brand = v1_lead.i_brand
AND v1. cc_name = v1_lag. cc_name
AND v1. cc_name = v1_lead. cc_name
AND v1.rn = v1_lag.rn + 1
AND v1.rn = v1_lead.rn - 1)
SELECT *
FROM v2
WHERE d_year = 2000
AND avg_monthly_sales > 0
AND CASE
WHEN avg_monthly_sales > 0 THEN Abs(sum_sales - avg_monthly_sales)
/
avg_monthly_sales
ELSE NULL
END > 0.1
ORDER BY sum_sales - avg_monthly_sales,
3
LIMIT 100;
WITH "v1" AS (
SELECT
"item"."i_category" AS "i_category",
"item"."i_brand" AS "i_brand",
"call_center"."cc_name" AS "cc_name",
"date_dim"."d_year" AS "d_year",
SUM("catalog_sales"."cs_sales_price") AS "sum_sales",
AVG(SUM("catalog_sales"."cs_sales_price")) OVER (
PARTITION BY "item"."i_category", "item"."i_brand", "call_center"."cc_name", "date_dim"."d_year"
) AS "avg_monthly_sales",
RANK() OVER (
PARTITION BY "item"."i_category", "item"."i_brand", "call_center"."cc_name"
ORDER BY "date_dim"."d_year", "date_dim"."d_moy"
) AS "rn"
FROM "item" AS "item"
JOIN "catalog_sales" AS "catalog_sales"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
JOIN "call_center" AS "call_center"
ON "call_center"."cc_call_center_sk" = "catalog_sales"."cs_call_center_sk"
JOIN "date_dim" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
AND (
"date_dim"."d_moy" = 1 OR "date_dim"."d_moy" = 12 OR "date_dim"."d_year" = 2000
)
AND (
"date_dim"."d_moy" = 1 OR "date_dim"."d_year" = 1999 OR "date_dim"."d_year" = 2000
)
AND (
"date_dim"."d_moy" = 12
OR "date_dim"."d_year" = 2000
OR "date_dim"."d_year" = 2001
)
AND (
"date_dim"."d_year" = 1999
OR "date_dim"."d_year" = 2000
OR "date_dim"."d_year" = 2001
)
GROUP BY
"item"."i_category",
"item"."i_brand",
"call_center"."cc_name",
"date_dim"."d_year",
"date_dim"."d_moy"
)
SELECT
"v1"."i_brand" AS "i_brand",
"v1"."d_year" AS "d_year",
"v1"."avg_monthly_sales" AS "avg_monthly_sales",
"v1"."sum_sales" AS "sum_sales",
"v1_lag"."sum_sales" AS "psum",
"v1_lead"."sum_sales" AS "nsum"
FROM "v1" AS "v1"
JOIN "v1" AS "v1_lag"
ON "v1"."cc_name" = "v1_lag"."cc_name"
AND "v1"."i_brand" = "v1_lag"."i_brand"
AND "v1"."i_category" = "v1_lag"."i_category"
AND "v1"."rn" = "v1_lag"."rn" + 1
JOIN "v1" AS "v1_lead"
ON "v1"."cc_name" = "v1_lead"."cc_name"
AND "v1"."i_brand" = "v1_lead"."i_brand"
AND "v1"."i_category" = "v1_lead"."i_category"
AND "v1"."rn" = "v1_lead"."rn" - 1
WHERE
"v1"."avg_monthly_sales" > 0
AND "v1"."d_year" = 2000
AND CASE
WHEN "v1"."avg_monthly_sales" > 0
THEN ABS("v1"."sum_sales" - "v1"."avg_monthly_sales") / "v1"."avg_monthly_sales"
ELSE NULL
END > 0.1
ORDER BY
"v1"."sum_sales" - "v1"."avg_monthly_sales",
"avg_monthly_sales"
LIMIT 100;
--------------------------------------
-- TPC-DS 58
--------------------------------------
WITH ss_items
AS (SELECT i_item_id item_id,
Sum(ss_ext_sales_price) ss_item_rev
FROM store_sales,
item,
date_dim
WHERE ss_item_sk = i_item_sk
AND d_date IN (SELECT d_date
FROM date_dim
WHERE d_week_seq = (SELECT d_week_seq
FROM date_dim
WHERE d_date = '2002-02-25'
))
AND ss_sold_date_sk = d_date_sk
GROUP BY i_item_id),
cs_items
AS (SELECT i_item_id item_id,
Sum(cs_ext_sales_price) cs_item_rev
FROM catalog_sales,
item,
date_dim
WHERE cs_item_sk = i_item_sk
AND d_date IN (SELECT d_date
FROM date_dim
WHERE d_week_seq = (SELECT d_week_seq
FROM date_dim
WHERE d_date = '2002-02-25'
))
AND cs_sold_date_sk = d_date_sk
GROUP BY i_item_id),
ws_items
AS (SELECT i_item_id item_id,
Sum(ws_ext_sales_price) ws_item_rev
FROM web_sales,
item,
date_dim
WHERE ws_item_sk = i_item_sk
AND d_date IN (SELECT d_date
FROM date_dim
WHERE d_week_seq = (SELECT d_week_seq
FROM date_dim
WHERE d_date = '2002-02-25'
))
AND ws_sold_date_sk = d_date_sk
GROUP BY i_item_id)
SELECT ss_items.item_id,
ss_item_rev,
ss_item_rev / ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 *
100 ss_dev,
cs_item_rev,
cs_item_rev / ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 *
100 cs_dev,
ws_item_rev,
ws_item_rev / ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 *
100 ws_dev,
( ss_item_rev + cs_item_rev + ws_item_rev ) / 3
average
FROM ss_items,
cs_items,
ws_items
WHERE ss_items.item_id = cs_items.item_id
AND ss_items.item_id = ws_items.item_id
AND ss_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev
AND ss_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev
AND cs_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev
AND cs_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev
AND ws_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev
AND ws_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev
ORDER BY item_id,
ss_item_rev
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
), "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_item_id" AS "i_item_id"
FROM "item" AS "item"
), "_u_0" AS (
SELECT
"date_dim"."d_week_seq" AS "d_week_seq"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_date" = '2002-02-25'
), "_u_1" AS (
SELECT
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
JOIN "_u_0" AS "_u_0"
ON "_u_0"."d_week_seq" = "date_dim"."d_week_seq"
GROUP BY
"date_dim"."d_date"
), "ss_items" AS (
SELECT
"item"."i_item_id" AS "item_id",
SUM("store_sales"."ss_ext_sales_price") AS "ss_item_rev"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
LEFT JOIN "_u_1" AS "_u_1"
ON "_u_1"."d_date" = "date_dim"."d_date"
WHERE
NOT "_u_1"."d_date" IS NULL
GROUP BY
"item"."i_item_id"
), "_u_3" AS (
SELECT
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
JOIN "_u_0" AS "_u_2"
ON "_u_2"."d_week_seq" = "date_dim"."d_week_seq"
GROUP BY
"date_dim"."d_date"
), "cs_items" AS (
SELECT
"item"."i_item_id" AS "item_id",
SUM("catalog_sales"."cs_ext_sales_price") AS "cs_item_rev"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "item_2" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
LEFT JOIN "_u_3" AS "_u_3"
ON "_u_3"."d_date" = "date_dim"."d_date"
WHERE
NOT "_u_3"."d_date" IS NULL
GROUP BY
"item"."i_item_id"
), "_u_5" AS (
SELECT
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
JOIN "_u_0" AS "_u_4"
ON "_u_4"."d_week_seq" = "date_dim"."d_week_seq"
GROUP BY
"date_dim"."d_date"
), "ws_items" AS (
SELECT
"item"."i_item_id" AS "item_id",
SUM("web_sales"."ws_ext_sales_price") AS "ws_item_rev"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
LEFT JOIN "_u_5" AS "_u_5"
ON "_u_5"."d_date" = "date_dim"."d_date"
WHERE
NOT "_u_5"."d_date" IS NULL
GROUP BY
"item"."i_item_id"
)
SELECT
"ss_items"."item_id" AS "item_id",
"ss_items"."ss_item_rev" AS "ss_item_rev",
"ss_items"."ss_item_rev" / (
"ss_items"."ss_item_rev" + "cs_items"."cs_item_rev" + "ws_items"."ws_item_rev"
) / 3 * 100 AS "ss_dev",
"cs_items"."cs_item_rev" AS "cs_item_rev",
"cs_items"."cs_item_rev" / (
"ss_items"."ss_item_rev" + "cs_items"."cs_item_rev" + "ws_items"."ws_item_rev"
) / 3 * 100 AS "cs_dev",
"ws_items"."ws_item_rev" AS "ws_item_rev",
"ws_items"."ws_item_rev" / (
"ss_items"."ss_item_rev" + "cs_items"."cs_item_rev" + "ws_items"."ws_item_rev"
) / 3 * 100 AS "ws_dev",
(
"ss_items"."ss_item_rev" + "cs_items"."cs_item_rev" + "ws_items"."ws_item_rev"
) / 3 AS "average"
FROM "ss_items" AS "ss_items"
JOIN "cs_items" AS "cs_items"
ON "cs_items"."cs_item_rev" <= 1.1 * "ss_items"."ss_item_rev"
AND "cs_items"."cs_item_rev" >= 0.9 * "ss_items"."ss_item_rev"
AND "cs_items"."item_id" = "ss_items"."item_id"
AND "ss_items"."ss_item_rev" <= 1.1 * "cs_items"."cs_item_rev"
AND "ss_items"."ss_item_rev" >= 0.9 * "cs_items"."cs_item_rev"
JOIN "ws_items" AS "ws_items"
ON "cs_items"."cs_item_rev" <= 1.1 * "ws_items"."ws_item_rev"
AND "cs_items"."cs_item_rev" >= 0.9 * "ws_items"."ws_item_rev"
AND "ss_items"."item_id" = "ws_items"."item_id"
AND "ss_items"."ss_item_rev" <= 1.1 * "ws_items"."ws_item_rev"
AND "ss_items"."ss_item_rev" >= 0.9 * "ws_items"."ws_item_rev"
AND "ws_items"."ws_item_rev" <= 1.1 * "cs_items"."cs_item_rev"
AND "ws_items"."ws_item_rev" <= 1.1 * "ss_items"."ss_item_rev"
AND "ws_items"."ws_item_rev" >= 0.9 * "cs_items"."cs_item_rev"
AND "ws_items"."ws_item_rev" >= 0.9 * "ss_items"."ss_item_rev"
ORDER BY
"item_id",
"ss_item_rev"
LIMIT 100;
--------------------------------------
-- TPC-DS 59
--------------------------------------
# execute: true
WITH wss
AS (SELECT d_week_seq,
ss_store_sk,
Sum(CASE
WHEN ( d_day_name = 'Sunday' ) THEN ss_sales_price
ELSE NULL
END) sun_sales,
Sum(CASE
WHEN ( d_day_name = 'Monday' ) THEN ss_sales_price
ELSE NULL
END) mon_sales,
Sum(CASE
WHEN ( d_day_name = 'Tuesday' ) THEN ss_sales_price
ELSE NULL
END) tue_sales,
Sum(CASE
WHEN ( d_day_name = 'Wednesday' ) THEN ss_sales_price
ELSE NULL
END) wed_sales,
Sum(CASE
WHEN ( d_day_name = 'Thursday' ) THEN ss_sales_price
ELSE NULL
END) thu_sales,
Sum(CASE
WHEN ( d_day_name = 'Friday' ) THEN ss_sales_price
ELSE NULL
END) fri_sales,
Sum(CASE
WHEN ( d_day_name = 'Saturday' ) THEN ss_sales_price
ELSE NULL
END) sat_sales
FROM store_sales,
date_dim
WHERE d_date_sk = ss_sold_date_sk
GROUP BY d_week_seq,
ss_store_sk)
SELECT s_store_name1,
s_store_id1,
d_week_seq1,
sun_sales1 / sun_sales2 AS "_col_3",
mon_sales1 / mon_sales2 AS "_col_4",
tue_sales1 / tue_sales2 AS "_col_5",
wed_sales1 / wed_sales2 AS "_col_6",
thu_sales1 / thu_sales2 AS "_col_7",
fri_sales1 / fri_sales2 AS "_col_8",
sat_sales1 / sat_sales2 AS "_col_9"
FROM (SELECT s_store_name s_store_name1,
wss.d_week_seq d_week_seq1,
s_store_id s_store_id1,
sun_sales sun_sales1,
mon_sales mon_sales1,
tue_sales tue_sales1,
wed_sales wed_sales1,
thu_sales thu_sales1,
fri_sales fri_sales1,
sat_sales sat_sales1
FROM wss,
store,
date_dim d
WHERE d.d_week_seq = wss.d_week_seq
AND ss_store_sk = s_store_sk
AND d_month_seq BETWEEN 1196 AND 1196 + 11) y,
(SELECT s_store_name s_store_name2,
wss.d_week_seq d_week_seq2,
s_store_id s_store_id2,
sun_sales sun_sales2,
mon_sales mon_sales2,
tue_sales tue_sales2,
wed_sales wed_sales2,
thu_sales thu_sales2,
fri_sales fri_sales2,
sat_sales sat_sales2
FROM wss,
store,
date_dim d
WHERE d.d_week_seq = wss.d_week_seq
AND ss_store_sk = s_store_sk
AND d_month_seq BETWEEN 1196 + 12 AND 1196 + 23) x
WHERE s_store_id1 = s_store_id2
AND d_week_seq1 = d_week_seq2 - 52
ORDER BY s_store_name1,
s_store_id1,
d_week_seq1
LIMIT 100;
WITH "wss" AS (
SELECT
"date_dim"."d_week_seq" AS "d_week_seq",
"store_sales"."ss_store_sk" AS "ss_store_sk",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Sunday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "sun_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Monday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "mon_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Tuesday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "tue_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Wednesday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "wed_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Thursday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "thu_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Friday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "fri_sales",
SUM(
CASE
WHEN "date_dim"."d_day_name" = 'Saturday'
THEN "store_sales"."ss_sales_price"
ELSE NULL
END
) AS "sat_sales"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"date_dim"."d_week_seq",
"store_sales"."ss_store_sk"
), "x" AS (
SELECT
"wss"."d_week_seq" AS "d_week_seq2",
"store"."s_store_id" AS "s_store_id2",
"wss"."sun_sales" AS "sun_sales2",
"wss"."mon_sales" AS "mon_sales2",
"wss"."tue_sales" AS "tue_sales2",
"wss"."wed_sales" AS "wed_sales2",
"wss"."thu_sales" AS "thu_sales2",
"wss"."fri_sales" AS "fri_sales2",
"wss"."sat_sales" AS "sat_sales2"
FROM "wss" AS "wss"
JOIN "date_dim" AS "d"
ON "d"."d_month_seq" <= 1219
AND "d"."d_month_seq" >= 1208
AND "d"."d_week_seq" = "wss"."d_week_seq"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "wss"."ss_store_sk"
)
SELECT
"store"."s_store_name" AS "s_store_name1",
"store"."s_store_id" AS "s_store_id1",
"wss"."d_week_seq" AS "d_week_seq1",
"wss"."sun_sales" / "x"."sun_sales2" AS "_col_3",
"wss"."mon_sales" / "x"."mon_sales2" AS "_col_4",
"wss"."tue_sales" / "x"."tue_sales2" AS "_col_5",
"wss"."wed_sales" / "x"."wed_sales2" AS "_col_6",
"wss"."thu_sales" / "x"."thu_sales2" AS "_col_7",
"wss"."fri_sales" / "x"."fri_sales2" AS "_col_8",
"wss"."sat_sales" / "x"."sat_sales2" AS "_col_9"
FROM "wss" AS "wss"
JOIN "date_dim" AS "d"
ON "d"."d_month_seq" <= 1207
AND "d"."d_month_seq" >= 1196
AND "d"."d_week_seq" = "wss"."d_week_seq"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "wss"."ss_store_sk"
JOIN "x" AS "x"
ON "store"."s_store_id" = "x"."s_store_id2"
AND "wss"."d_week_seq" = "x"."d_week_seq2" - 52
ORDER BY
"s_store_name1",
"s_store_id1",
"d_week_seq1"
LIMIT 100;
--------------------------------------
-- TPC-DS 60
--------------------------------------
# execute: true
WITH ss
AS (SELECT i_item_id,
Sum(ss_ext_sales_price) total_sales
FROM store_sales,
date_dim,
customer_address,
item
WHERE i_item_id IN (SELECT i_item_id
FROM item
WHERE i_category IN ( 'Jewelry' ))
AND ss_item_sk = i_item_sk
AND ss_sold_date_sk = d_date_sk
AND d_year = 1999
AND d_moy = 8
AND ss_addr_sk = ca_address_sk
AND ca_gmt_offset = -6
GROUP BY i_item_id),
cs
AS (SELECT i_item_id,
Sum(cs_ext_sales_price) total_sales
FROM catalog_sales,
date_dim,
customer_address,
item
WHERE i_item_id IN (SELECT i_item_id
FROM item
WHERE i_category IN ( 'Jewelry' ))
AND cs_item_sk = i_item_sk
AND cs_sold_date_sk = d_date_sk
AND d_year = 1999
AND d_moy = 8
AND cs_bill_addr_sk = ca_address_sk
AND ca_gmt_offset = -6
GROUP BY i_item_id),
ws
AS (SELECT i_item_id,
Sum(ws_ext_sales_price) total_sales
FROM web_sales,
date_dim,
customer_address,
item
WHERE i_item_id IN (SELECT i_item_id
FROM item
WHERE i_category IN ( 'Jewelry' ))
AND ws_item_sk = i_item_sk
AND ws_sold_date_sk = d_date_sk
AND d_year = 1999
AND d_moy = 8
AND ws_bill_addr_sk = ca_address_sk
AND ca_gmt_offset = -6
GROUP BY i_item_id)
SELECT i_item_id,
Sum(total_sales) total_sales
FROM (SELECT *
FROM ss
UNION ALL
SELECT *
FROM cs
UNION ALL
SELECT *
FROM ws) tmp1
GROUP BY i_item_id
ORDER BY i_item_id,
total_sales
LIMIT 100;
WITH "customer_address_2" AS (
SELECT
"customer_address"."ca_address_sk" AS "ca_address_sk",
"customer_address"."ca_gmt_offset" AS "ca_gmt_offset"
FROM "customer_address" AS "customer_address"
WHERE
"customer_address"."ca_gmt_offset" = -6
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 8 AND "date_dim"."d_year" = 1999
), "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_item_id" AS "i_item_id"
FROM "item" AS "item"
), "_u_0" AS (
SELECT
"item"."i_item_id" AS "i_item_id"
FROM "item" AS "item"
WHERE
"item"."i_category" IN ('Jewelry')
GROUP BY
"item"."i_item_id"
), "ss" AS (
SELECT
"item"."i_item_id" AS "i_item_id",
SUM("store_sales"."ss_ext_sales_price") AS "total_sales"
FROM "store_sales" AS "store_sales"
JOIN "customer_address_2" AS "customer_address"
ON "customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."i_item_id" = "item"."i_item_id"
WHERE
NOT "_u_0"."i_item_id" IS NULL
GROUP BY
"item"."i_item_id"
), "cs" AS (
SELECT
"item"."i_item_id" AS "i_item_id",
SUM("catalog_sales"."cs_ext_sales_price") AS "total_sales"
FROM "catalog_sales" AS "catalog_sales"
JOIN "customer_address_2" AS "customer_address"
ON "catalog_sales"."cs_bill_addr_sk" = "customer_address"."ca_address_sk"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "item_2" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
LEFT JOIN "_u_0" AS "_u_1"
ON "_u_1"."i_item_id" = "item"."i_item_id"
WHERE
NOT "_u_1"."i_item_id" IS NULL
GROUP BY
"item"."i_item_id"
), "ws" AS (
SELECT
"item"."i_item_id" AS "i_item_id",
SUM("web_sales"."ws_ext_sales_price") AS "total_sales"
FROM "web_sales" AS "web_sales"
JOIN "customer_address_2" AS "customer_address"
ON "customer_address"."ca_address_sk" = "web_sales"."ws_bill_addr_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
LEFT JOIN "_u_0" AS "_u_2"
ON "_u_2"."i_item_id" = "item"."i_item_id"
WHERE
NOT "_u_2"."i_item_id" IS NULL
GROUP BY
"item"."i_item_id"
), "tmp1" AS (
SELECT
"ss"."i_item_id" AS "i_item_id",
"ss"."total_sales" AS "total_sales"
FROM "ss" AS "ss"
UNION ALL
SELECT
"cs"."i_item_id" AS "i_item_id",
"cs"."total_sales" AS "total_sales"
FROM "cs" AS "cs"
UNION ALL
SELECT
"ws"."i_item_id" AS "i_item_id",
"ws"."total_sales" AS "total_sales"
FROM "ws" AS "ws"
)
SELECT
"tmp1"."i_item_id" AS "i_item_id",
SUM("tmp1"."total_sales") AS "total_sales"
FROM "tmp1" AS "tmp1"
GROUP BY
"tmp1"."i_item_id"
ORDER BY
"i_item_id",
"total_sales"
LIMIT 100;
--------------------------------------
-- TPC-DS 61
--------------------------------------
SELECT promotions,
total,
Cast(promotions AS DECIMAL(15, 4)) /
Cast(total AS DECIMAL(15, 4)) * 100
FROM (SELECT Sum(ss_ext_sales_price) promotions
FROM store_sales,
store,
promotion,
date_dim,
customer,
customer_address,
item
WHERE ss_sold_date_sk = d_date_sk
AND ss_store_sk = s_store_sk
AND ss_promo_sk = p_promo_sk
AND ss_customer_sk = c_customer_sk
AND ca_address_sk = c_current_addr_sk
AND ss_item_sk = i_item_sk
AND ca_gmt_offset = -7
AND i_category = 'Books'
AND ( p_channel_dmail = 'Y'
OR p_channel_email = 'Y'
OR p_channel_tv = 'Y' )
AND s_gmt_offset = -7
AND d_year = 2001
AND d_moy = 12) promotional_sales,
(SELECT Sum(ss_ext_sales_price) total
FROM store_sales,
store,
date_dim,
customer,
customer_address,
item
WHERE ss_sold_date_sk = d_date_sk
AND ss_store_sk = s_store_sk
AND ss_customer_sk = c_customer_sk
AND ca_address_sk = c_current_addr_sk
AND ss_item_sk = i_item_sk
AND ca_gmt_offset = -7
AND i_category = 'Books'
AND s_gmt_offset = -7
AND d_year = 2001
AND d_moy = 12) all_sales
ORDER BY promotions,
total
LIMIT 100;
WITH "customer_2" AS (
SELECT
"customer"."c_customer_sk" AS "c_customer_sk",
"customer"."c_current_addr_sk" AS "c_current_addr_sk"
FROM "customer" AS "customer"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 2001
), "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_category" AS "i_category"
FROM "item" AS "item"
WHERE
"item"."i_category" = 'Books'
), "store_2" AS (
SELECT
"store"."s_store_sk" AS "s_store_sk",
"store"."s_gmt_offset" AS "s_gmt_offset"
FROM "store" AS "store"
WHERE
"store"."s_gmt_offset" = -7
), "customer_address_2" AS (
SELECT
"customer_address"."ca_address_sk" AS "ca_address_sk",
"customer_address"."ca_gmt_offset" AS "ca_gmt_offset"
FROM "customer_address" AS "customer_address"
WHERE
"customer_address"."ca_gmt_offset" = -7
), "promotional_sales" AS (
SELECT
SUM("store_sales"."ss_ext_sales_price") AS "promotions"
FROM "store_sales" AS "store_sales"
JOIN "customer_2" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "promotion" AS "promotion"
ON (
"promotion"."p_channel_dmail" = 'Y'
OR "promotion"."p_channel_email" = 'Y'
OR "promotion"."p_channel_tv" = 'Y'
)
AND "promotion"."p_promo_sk" = "store_sales"."ss_promo_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "customer_address_2" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
), "all_sales" AS (
SELECT
SUM("store_sales"."ss_ext_sales_price") AS "total"
FROM "store_sales" AS "store_sales"
JOIN "customer_2" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "customer_address_2" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
)
SELECT
"promotional_sales"."promotions" AS "promotions",
"all_sales"."total" AS "total",
CAST("promotional_sales"."promotions" AS DECIMAL(15, 4)) / CAST("all_sales"."total" AS DECIMAL(15, 4)) * 100 AS "_col_2"
FROM "promotional_sales" AS "promotional_sales"
CROSS JOIN "all_sales" AS "all_sales"
ORDER BY
"promotions",
"total"
LIMIT 100;
--------------------------------------
-- TPC-DS 62
--------------------------------------
# execute: true
SELECT SUBSTRING(w_warehouse_name, 1, 20) AS "_col_0",
sm_type,
web_name,
Sum(CASE
WHEN ( ws_ship_date_sk - ws_sold_date_sk <= 30 ) THEN 1
ELSE 0
END) AS "30 days",
Sum(CASE
WHEN ( ws_ship_date_sk - ws_sold_date_sk > 30 )
AND ( ws_ship_date_sk - ws_sold_date_sk <= 60 ) THEN 1
ELSE 0
END) AS "31-60 days",
Sum(CASE
WHEN ( ws_ship_date_sk - ws_sold_date_sk > 60 )
AND ( ws_ship_date_sk - ws_sold_date_sk <= 90 ) THEN 1
ELSE 0
END) AS "61-90 days",
Sum(CASE
WHEN ( ws_ship_date_sk - ws_sold_date_sk > 90 )
AND ( ws_ship_date_sk - ws_sold_date_sk <= 120 ) THEN
1
ELSE 0
END) AS "91-120 days",
Sum(CASE
WHEN ( ws_ship_date_sk - ws_sold_date_sk > 120 ) THEN 1
ELSE 0
END) AS ">120 days"
FROM web_sales,
warehouse,
ship_mode,
web_site,
date_dim
WHERE d_month_seq BETWEEN 1222 AND 1222 + 11
AND ws_ship_date_sk = d_date_sk
AND ws_warehouse_sk = w_warehouse_sk
AND ws_ship_mode_sk = sm_ship_mode_sk
AND ws_web_site_sk = web_site_sk
GROUP BY SUBSTRING(w_warehouse_name, 1, 20),
sm_type,
web_name
ORDER BY SUBSTRING(w_warehouse_name, 1, 20),
sm_type,
web_name
LIMIT 100;
SELECT
SUBSTRING("warehouse"."w_warehouse_name", 1, 20) AS "_col_0",
"ship_mode"."sm_type" AS "sm_type",
"web_site"."web_name" AS "web_name",
SUM(
CASE
WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" <= 30
THEN 1
ELSE 0
END
) AS "30 days",
SUM(
CASE
WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" <= 60
AND "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" > 30
THEN 1
ELSE 0
END
) AS "31-60 days",
SUM(
CASE
WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" <= 90
AND "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" > 60
THEN 1
ELSE 0
END
) AS "61-90 days",
SUM(
CASE
WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" <= 120
AND "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" > 90
THEN 1
ELSE 0
END
) AS "91-120 days",
SUM(
CASE
WHEN "web_sales"."ws_ship_date_sk" - "web_sales"."ws_sold_date_sk" > 120
THEN 1
ELSE 0
END
) AS ">120 days"
FROM "web_sales" AS "web_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_ship_date_sk"
AND "date_dim"."d_month_seq" <= 1233
AND "date_dim"."d_month_seq" >= 1222
JOIN "ship_mode" AS "ship_mode"
ON "ship_mode"."sm_ship_mode_sk" = "web_sales"."ws_ship_mode_sk"
JOIN "warehouse" AS "warehouse"
ON "warehouse"."w_warehouse_sk" = "web_sales"."ws_warehouse_sk"
JOIN "web_site" AS "web_site"
ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk"
GROUP BY
SUBSTRING("warehouse"."w_warehouse_name", 1, 20),
"ship_mode"."sm_type",
"web_site"."web_name"
ORDER BY
"_col_0",
"sm_type",
"web_name"
LIMIT 100;
--------------------------------------
-- TPC-DS 63
--------------------------------------
SELECT *
FROM (SELECT i_manager_id,
Sum(ss_sales_price) sum_sales,
Avg(Sum(ss_sales_price))
OVER (
partition BY i_manager_id) avg_monthly_sales
FROM item,
store_sales,
date_dim,
store
WHERE ss_item_sk = i_item_sk
AND ss_sold_date_sk = d_date_sk
AND ss_store_sk = s_store_sk
AND d_month_seq IN ( 1200, 1200 + 1, 1200 + 2, 1200 + 3,
1200 + 4, 1200 + 5, 1200 + 6, 1200 + 7,
1200 + 8, 1200 + 9, 1200 + 10, 1200 + 11 )
AND ( ( i_category IN ( 'Books', 'Children', 'Electronics' )
AND i_class IN ( 'personal', 'portable', 'reference',
'self-help' )
AND i_brand IN ( 'scholaramalgamalg #14',
'scholaramalgamalg #7'
,
'exportiunivamalg #9',
'scholaramalgamalg #9' )
)
OR ( i_category IN ( 'Women', 'Music', 'Men' )
AND i_class IN ( 'accessories', 'classical',
'fragrances',
'pants' )
AND i_brand IN ( 'amalgimporto #1',
'edu packscholar #1',
'exportiimporto #1',
'importoamalg #1' ) ) )
GROUP BY i_manager_id,
d_moy) tmp1
WHERE CASE
WHEN avg_monthly_sales > 0 THEN Abs (sum_sales - avg_monthly_sales) /
avg_monthly_sales
ELSE NULL
END > 0.1
ORDER BY i_manager_id,
avg_monthly_sales,
sum_sales
LIMIT 100;
WITH "tmp1" AS (
SELECT
"item"."i_manager_id" AS "i_manager_id",
SUM("store_sales"."ss_sales_price") AS "sum_sales",
AVG(SUM("store_sales"."ss_sales_price")) OVER (PARTITION BY "item"."i_manager_id") AS "avg_monthly_sales"
FROM "item" AS "item"
JOIN "store_sales" AS "store_sales"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_month_seq" IN (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211)
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
WHERE
(
"item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')
OR "item"."i_brand" IN (
'scholaramalgamalg #14',
'scholaramalgamalg #7',
'exportiunivamalg #9',
'scholaramalgamalg #9'
)
)
AND (
"item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')
OR "item"."i_category" IN ('Books', 'Children', 'Electronics')
)
AND (
"item"."i_brand" IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')
OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help')
)
AND (
"item"."i_brand" IN (
'scholaramalgamalg #14',
'scholaramalgamalg #7',
'exportiunivamalg #9',
'scholaramalgamalg #9'
)
OR "item"."i_category" IN ('Women', 'Music', 'Men')
)
AND (
"item"."i_brand" IN (
'scholaramalgamalg #14',
'scholaramalgamalg #7',
'exportiunivamalg #9',
'scholaramalgamalg #9'
)
OR "item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants')
)
AND (
"item"."i_category" IN ('Books', 'Children', 'Electronics')
OR "item"."i_category" IN ('Women', 'Music', 'Men')
)
AND (
"item"."i_category" IN ('Books', 'Children', 'Electronics')
OR "item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants')
)
AND (
"item"."i_category" IN ('Women', 'Music', 'Men')
OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help')
)
AND (
"item"."i_class" IN ('accessories', 'classical', 'fragrances', 'pants')
OR "item"."i_class" IN ('personal', 'portable', 'reference', 'self-help')
)
GROUP BY
"item"."i_manager_id",
"date_dim"."d_moy"
)
SELECT
"tmp1"."i_manager_id" AS "i_manager_id",
"tmp1"."sum_sales" AS "sum_sales",
"tmp1"."avg_monthly_sales" AS "avg_monthly_sales"
FROM "tmp1" AS "tmp1"
WHERE
CASE
WHEN "tmp1"."avg_monthly_sales" > 0
THEN ABS("tmp1"."sum_sales" - "tmp1"."avg_monthly_sales") / "tmp1"."avg_monthly_sales"
ELSE NULL
END > 0.1
ORDER BY
"tmp1"."i_manager_id",
"tmp1"."avg_monthly_sales",
"tmp1"."sum_sales"
LIMIT 100;
--------------------------------------
-- TPC-DS 64
--------------------------------------
WITH cs_ui
AS (SELECT cs_item_sk,
Sum(cs_ext_list_price) AS sale,
Sum(cr_refunded_cash + cr_reversed_charge
+ cr_store_credit) AS refund
FROM catalog_sales,
catalog_returns
WHERE cs_item_sk = cr_item_sk
AND cs_order_number = cr_order_number
GROUP BY cs_item_sk
HAVING Sum(cs_ext_list_price) > 2 * Sum(
cr_refunded_cash + cr_reversed_charge
+ cr_store_credit)),
cross_sales
AS (SELECT i_product_name product_name,
i_item_sk item_sk,
s_store_name store_name,
s_zip store_zip,
ad1.ca_street_number b_street_number,
ad1.ca_street_name b_streen_name,
ad1.ca_city b_city,
ad1.ca_zip b_zip,
ad2.ca_street_number c_street_number,
ad2.ca_street_name c_street_name,
ad2.ca_city c_city,
ad2.ca_zip c_zip,
d1.d_year AS syear,
d2.d_year AS fsyear,
d3.d_year s2year,
Count(*) cnt,
Sum(ss_wholesale_cost) s1,
Sum(ss_list_price) s2,
Sum(ss_coupon_amt) s3
FROM store_sales,
store_returns,
cs_ui,
date_dim d1,
date_dim d2,
date_dim d3,
store,
customer,
customer_demographics cd1,
customer_demographics cd2,
promotion,
household_demographics hd1,
household_demographics hd2,
customer_address ad1,
customer_address ad2,
income_band ib1,
income_band ib2,
item
WHERE ss_store_sk = s_store_sk
AND ss_sold_date_sk = d1.d_date_sk
AND ss_customer_sk = c_customer_sk
AND ss_cdemo_sk = cd1.cd_demo_sk
AND ss_hdemo_sk = hd1.hd_demo_sk
AND ss_addr_sk = ad1.ca_address_sk
AND ss_item_sk = i_item_sk
AND ss_item_sk = sr_item_sk
AND ss_ticket_number = sr_ticket_number
AND ss_item_sk = cs_ui.cs_item_sk
AND c_current_cdemo_sk = cd2.cd_demo_sk
AND c_current_hdemo_sk = hd2.hd_demo_sk
AND c_current_addr_sk = ad2.ca_address_sk
AND c_first_sales_date_sk = d2.d_date_sk
AND c_first_shipto_date_sk = d3.d_date_sk
AND ss_promo_sk = p_promo_sk
AND hd1.hd_income_band_sk = ib1.ib_income_band_sk
AND hd2.hd_income_band_sk = ib2.ib_income_band_sk
AND cd1.cd_marital_status <> cd2.cd_marital_status
AND i_color IN ( 'cyan', 'peach', 'blush', 'frosted',
'powder', 'orange' )
AND i_current_price BETWEEN 58 AND 58 + 10
AND i_current_price BETWEEN 58 + 1 AND 58 + 15
GROUP BY i_product_name,
i_item_sk,
s_store_name,
s_zip,
ad1.ca_street_number,
ad1.ca_street_name,
ad1.ca_city,
ad1.ca_zip,
ad2.ca_street_number,
ad2.ca_street_name,
ad2.ca_city,
ad2.ca_zip,
d1.d_year,
d2.d_year,
d3.d_year)
SELECT cs1.product_name,
cs1.store_name,
cs1.store_zip,
cs1.b_street_number,
cs1.b_streen_name,
cs1.b_city,
cs1.b_zip,
cs1.c_street_number,
cs1.c_street_name,
cs1.c_city,
cs1.c_zip,
cs1.syear,
cs1.cnt,
cs1.s1,
cs1.s2,
cs1.s3,
cs2.s1,
cs2.s2,
cs2.s3,
cs2.syear,
cs2.cnt
FROM cross_sales cs1,
cross_sales cs2
WHERE cs1.item_sk = cs2.item_sk
AND cs1.syear = 2001
AND cs2.syear = 2001 + 1
AND cs2.cnt <= cs1.cnt
AND cs1.store_name = cs2.store_name
AND cs1.store_zip = cs2.store_zip
ORDER BY cs1.product_name,
cs1.store_name,
cs2.cnt;
WITH "cs_ui" AS (
SELECT
"catalog_sales"."cs_item_sk" AS "cs_item_sk"
FROM "catalog_sales" AS "catalog_sales"
JOIN "catalog_returns" AS "catalog_returns"
ON "catalog_returns"."cr_item_sk" = "catalog_sales"."cs_item_sk"
AND "catalog_returns"."cr_order_number" = "catalog_sales"."cs_order_number"
GROUP BY
"catalog_sales"."cs_item_sk"
HAVING
2 * SUM(
"catalog_returns"."cr_refunded_cash" + "catalog_returns"."cr_reversed_charge" + "catalog_returns"."cr_store_credit"
) < SUM("catalog_sales"."cs_ext_list_price")
), "cross_sales" AS (
SELECT
"item"."i_product_name" AS "product_name",
"item"."i_item_sk" AS "item_sk",
"store"."s_store_name" AS "store_name",
"store"."s_zip" AS "store_zip",
"ad1"."ca_street_number" AS "b_street_number",
"ad1"."ca_street_name" AS "b_streen_name",
"ad1"."ca_city" AS "b_city",
"ad1"."ca_zip" AS "b_zip",
"ad2"."ca_street_number" AS "c_street_number",
"ad2"."ca_street_name" AS "c_street_name",
"ad2"."ca_city" AS "c_city",
"ad2"."ca_zip" AS "c_zip",
"d1"."d_year" AS "syear",
COUNT(*) AS "cnt",
SUM("store_sales"."ss_wholesale_cost") AS "s1",
SUM("store_sales"."ss_list_price") AS "s2",
SUM("store_sales"."ss_coupon_amt") AS "s3"
FROM "store_sales" AS "store_sales"
JOIN "customer_address" AS "ad1"
ON "ad1"."ca_address_sk" = "store_sales"."ss_addr_sk"
JOIN "customer_demographics" AS "cd1"
ON "cd1"."cd_demo_sk" = "store_sales"."ss_cdemo_sk"
JOIN "cs_ui" AS "cs_ui"
ON "cs_ui"."cs_item_sk" = "store_sales"."ss_item_sk"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "household_demographics" AS "hd1"
ON "hd1"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "item" AS "item"
ON "item"."i_color" IN ('cyan', 'peach', 'blush', 'frosted', 'powder', 'orange')
AND "item"."i_current_price" <= 68
AND "item"."i_current_price" >= 59
AND "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "promotion" AS "promotion"
ON "promotion"."p_promo_sk" = "store_sales"."ss_promo_sk"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
JOIN "customer_address" AS "ad2"
ON "ad2"."ca_address_sk" = "customer"."c_current_addr_sk"
JOIN "customer_demographics" AS "cd2"
ON "cd1"."cd_marital_status" <> "cd2"."cd_marital_status"
AND "cd2"."cd_demo_sk" = "customer"."c_current_cdemo_sk"
JOIN "date_dim" AS "d2"
ON "customer"."c_first_sales_date_sk" = "d2"."d_date_sk"
JOIN "date_dim" AS "d3"
ON "customer"."c_first_shipto_date_sk" = "d3"."d_date_sk"
JOIN "household_demographics" AS "hd2"
ON "customer"."c_current_hdemo_sk" = "hd2"."hd_demo_sk"
JOIN "income_band" AS "ib1"
ON "hd1"."hd_income_band_sk" = "ib1"."ib_income_band_sk"
JOIN "income_band" AS "ib2"
ON "hd2"."hd_income_band_sk" = "ib2"."ib_income_band_sk"
GROUP BY
"item"."i_product_name",
"item"."i_item_sk",
"store"."s_store_name",
"store"."s_zip",
"ad1"."ca_street_number",
"ad1"."ca_street_name",
"ad1"."ca_city",
"ad1"."ca_zip",
"ad2"."ca_street_number",
"ad2"."ca_street_name",
"ad2"."ca_city",
"ad2"."ca_zip",
"d1"."d_year",
"d2"."d_year",
"d3"."d_year"
)
SELECT
"cs1"."product_name" AS "product_name",
"cs1"."store_name" AS "store_name",
"cs1"."store_zip" AS "store_zip",
"cs1"."b_street_number" AS "b_street_number",
"cs1"."b_streen_name" AS "b_streen_name",
"cs1"."b_city" AS "b_city",
"cs1"."b_zip" AS "b_zip",
"cs1"."c_street_number" AS "c_street_number",
"cs1"."c_street_name" AS "c_street_name",
"cs1"."c_city" AS "c_city",
"cs1"."c_zip" AS "c_zip",
"cs1"."syear" AS "syear",
"cs1"."cnt" AS "cnt",
"cs1"."s1" AS "s1",
"cs1"."s2" AS "s2",
"cs1"."s3" AS "s3",
"cs2"."s1" AS "s1",
"cs2"."s2" AS "s2",
"cs2"."s3" AS "s3",
"cs2"."syear" AS "syear",
"cs2"."cnt" AS "cnt"
FROM "cross_sales" AS "cs1"
JOIN "cross_sales" AS "cs2"
ON "cs1"."cnt" >= "cs2"."cnt"
AND "cs1"."item_sk" = "cs2"."item_sk"
AND "cs1"."store_name" = "cs2"."store_name"
AND "cs1"."store_zip" = "cs2"."store_zip"
AND "cs2"."syear" = 2002
WHERE
"cs1"."syear" = 2001
ORDER BY
"cs1"."product_name",
"cs1"."store_name",
"cs2"."cnt";
--------------------------------------
-- TPC-DS 65
--------------------------------------
# execute: true
SELECT s_store_name,
i_item_desc,
sc.revenue,
i_current_price,
i_wholesale_cost,
i_brand
FROM store,
item,
(SELECT ss_store_sk,
Avg(revenue) AS ave
FROM (SELECT ss_store_sk,
ss_item_sk,
Sum(ss_sales_price) AS revenue
FROM store_sales,
date_dim
WHERE ss_sold_date_sk = d_date_sk
AND d_month_seq BETWEEN 1199 AND 1199 + 11
GROUP BY ss_store_sk,
ss_item_sk) sa
GROUP BY ss_store_sk) sb,
(SELECT ss_store_sk,
ss_item_sk,
Sum(ss_sales_price) AS revenue
FROM store_sales,
date_dim
WHERE ss_sold_date_sk = d_date_sk
AND d_month_seq BETWEEN 1199 AND 1199 + 11
GROUP BY ss_store_sk,
ss_item_sk) sc
WHERE sb.ss_store_sk = sc.ss_store_sk
AND sc.revenue <= 0.1 * sb.ave
AND s_store_sk = sc.ss_store_sk
AND i_item_sk = sc.ss_item_sk
ORDER BY s_store_name,
i_item_desc
LIMIT 100;
WITH "store_sales_2" AS (
SELECT
"store_sales"."ss_sold_date_sk" AS "ss_sold_date_sk",
"store_sales"."ss_item_sk" AS "ss_item_sk",
"store_sales"."ss_store_sk" AS "ss_store_sk",
"store_sales"."ss_sales_price" AS "ss_sales_price"
FROM "store_sales" AS "store_sales"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_month_seq" AS "d_month_seq"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_month_seq" <= 1210 AND "date_dim"."d_month_seq" >= 1199
), "sc" AS (
SELECT
"store_sales"."ss_store_sk" AS "ss_store_sk",
"store_sales"."ss_item_sk" AS "ss_item_sk",
SUM("store_sales"."ss_sales_price") AS "revenue"
FROM "store_sales_2" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"store_sales"."ss_store_sk",
"store_sales"."ss_item_sk"
), "sa" AS (
SELECT
"store_sales"."ss_store_sk" AS "ss_store_sk",
SUM("store_sales"."ss_sales_price") AS "revenue"
FROM "store_sales_2" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"store_sales"."ss_store_sk",
"store_sales"."ss_item_sk"
), "sb" AS (
SELECT
"sa"."ss_store_sk" AS "ss_store_sk",
AVG("sa"."revenue") AS "ave"
FROM "sa" AS "sa"
GROUP BY
"sa"."ss_store_sk"
)
SELECT
"store"."s_store_name" AS "s_store_name",
"item"."i_item_desc" AS "i_item_desc",
"sc"."revenue" AS "revenue",
"item"."i_current_price" AS "i_current_price",
"item"."i_wholesale_cost" AS "i_wholesale_cost",
"item"."i_brand" AS "i_brand"
FROM "store" AS "store"
JOIN "sc" AS "sc"
ON "sc"."ss_store_sk" = "store"."s_store_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "sc"."ss_item_sk"
JOIN "sb" AS "sb"
ON "sb"."ss_store_sk" = "sc"."ss_store_sk" AND "sc"."revenue" <= 0.1 * "sb"."ave"
ORDER BY
"s_store_name",
"i_item_desc"
LIMIT 100;
--------------------------------------
-- TPC-DS 66
--------------------------------------
# execute: true
SELECT w_warehouse_name,
w_warehouse_sq_ft,
w_city,
w_county,
w_state,
w_country,
ship_carriers,
year1,
Sum(jan_sales) AS jan_sales,
Sum(feb_sales) AS feb_sales,
Sum(mar_sales) AS mar_sales,
Sum(apr_sales) AS apr_sales,
Sum(may_sales) AS may_sales,
Sum(jun_sales) AS jun_sales,
Sum(jul_sales) AS jul_sales,
Sum(aug_sales) AS aug_sales,
Sum(sep_sales) AS sep_sales,
Sum(oct_sales) AS oct_sales,
Sum(nov_sales) AS nov_sales,
Sum(dec_sales) AS dec_sales,
Sum(jan_sales / w_warehouse_sq_ft) AS jan_sales_per_sq_foot,
Sum(feb_sales / w_warehouse_sq_ft) AS feb_sales_per_sq_foot,
Sum(mar_sales / w_warehouse_sq_ft) AS mar_sales_per_sq_foot,
Sum(apr_sales / w_warehouse_sq_ft) AS apr_sales_per_sq_foot,
Sum(may_sales / w_warehouse_sq_ft) AS may_sales_per_sq_foot,
Sum(jun_sales / w_warehouse_sq_ft) AS jun_sales_per_sq_foot,
Sum(jul_sales / w_warehouse_sq_ft) AS jul_sales_per_sq_foot,
Sum(aug_sales / w_warehouse_sq_ft) AS aug_sales_per_sq_foot,
Sum(sep_sales / w_warehouse_sq_ft) AS sep_sales_per_sq_foot,
Sum(oct_sales / w_warehouse_sq_ft) AS oct_sales_per_sq_foot,
Sum(nov_sales / w_warehouse_sq_ft) AS nov_sales_per_sq_foot,
Sum(dec_sales / w_warehouse_sq_ft) AS dec_sales_per_sq_foot,
Sum(jan_net) AS jan_net,
Sum(feb_net) AS feb_net,
Sum(mar_net) AS mar_net,
Sum(apr_net) AS apr_net,
Sum(may_net) AS may_net,
Sum(jun_net) AS jun_net,
Sum(jul_net) AS jul_net,
Sum(aug_net) AS aug_net,
Sum(sep_net) AS sep_net,
Sum(oct_net) AS oct_net,
Sum(nov_net) AS nov_net,
Sum(dec_net) AS dec_net
FROM (SELECT w_warehouse_name,
w_warehouse_sq_ft,
w_city,
w_county,
w_state,
w_country,
'ZOUROS'
|| ','
|| 'ZHOU' AS ship_carriers,
d_year AS year1,
Sum(CASE
WHEN d_moy = 1 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS jan_sales,
Sum(CASE
WHEN d_moy = 2 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS feb_sales,
Sum(CASE
WHEN d_moy = 3 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS mar_sales,
Sum(CASE
WHEN d_moy = 4 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS apr_sales,
Sum(CASE
WHEN d_moy = 5 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS may_sales,
Sum(CASE
WHEN d_moy = 6 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS jun_sales,
Sum(CASE
WHEN d_moy = 7 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS jul_sales,
Sum(CASE
WHEN d_moy = 8 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS aug_sales,
Sum(CASE
WHEN d_moy = 9 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS sep_sales,
Sum(CASE
WHEN d_moy = 10 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS oct_sales,
Sum(CASE
WHEN d_moy = 11 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS nov_sales,
Sum(CASE
WHEN d_moy = 12 THEN ws_ext_sales_price * ws_quantity
ELSE 0
END) AS dec_sales,
Sum(CASE
WHEN d_moy = 1 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS jan_net,
Sum(CASE
WHEN d_moy = 2 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS feb_net,
Sum(CASE
WHEN d_moy = 3 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS mar_net,
Sum(CASE
WHEN d_moy = 4 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS apr_net,
Sum(CASE
WHEN d_moy = 5 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS may_net,
Sum(CASE
WHEN d_moy = 6 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS jun_net,
Sum(CASE
WHEN d_moy = 7 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS jul_net,
Sum(CASE
WHEN d_moy = 8 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS aug_net,
Sum(CASE
WHEN d_moy = 9 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS sep_net,
Sum(CASE
WHEN d_moy = 10 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS oct_net,
Sum(CASE
WHEN d_moy = 11 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS nov_net,
Sum(CASE
WHEN d_moy = 12 THEN ws_net_paid_inc_ship * ws_quantity
ELSE 0
END) AS dec_net
FROM web_sales,
warehouse,
date_dim,
time_dim,
ship_mode
WHERE ws_warehouse_sk = w_warehouse_sk
AND ws_sold_date_sk = d_date_sk
AND ws_sold_time_sk = t_time_sk
AND ws_ship_mode_sk = sm_ship_mode_sk
AND d_year = 1998
AND t_time BETWEEN 7249 AND 7249 + 28800
AND sm_carrier IN ( 'ZOUROS', 'ZHOU' )
GROUP BY w_warehouse_name,
w_warehouse_sq_ft,
w_city,
w_county,
w_state,
w_country,
d_year
UNION ALL
SELECT w_warehouse_name,
w_warehouse_sq_ft,
w_city,
w_county,
w_state,
w_country,
'ZOUROS'
|| ','
|| 'ZHOU' AS ship_carriers,
d_year AS year1,
Sum(CASE
WHEN d_moy = 1 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS jan_sales,
Sum(CASE
WHEN d_moy = 2 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS feb_sales,
Sum(CASE
WHEN d_moy = 3 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS mar_sales,
Sum(CASE
WHEN d_moy = 4 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS apr_sales,
Sum(CASE
WHEN d_moy = 5 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS may_sales,
Sum(CASE
WHEN d_moy = 6 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS jun_sales,
Sum(CASE
WHEN d_moy = 7 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS jul_sales,
Sum(CASE
WHEN d_moy = 8 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS aug_sales,
Sum(CASE
WHEN d_moy = 9 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS sep_sales,
Sum(CASE
WHEN d_moy = 10 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS oct_sales,
Sum(CASE
WHEN d_moy = 11 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS nov_sales,
Sum(CASE
WHEN d_moy = 12 THEN cs_ext_sales_price * cs_quantity
ELSE 0
END) AS dec_sales,
Sum(CASE
WHEN d_moy = 1 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS jan_net,
Sum(CASE
WHEN d_moy = 2 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS feb_net,
Sum(CASE
WHEN d_moy = 3 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS mar_net,
Sum(CASE
WHEN d_moy = 4 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS apr_net,
Sum(CASE
WHEN d_moy = 5 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS may_net,
Sum(CASE
WHEN d_moy = 6 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS jun_net,
Sum(CASE
WHEN d_moy = 7 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS jul_net,
Sum(CASE
WHEN d_moy = 8 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS aug_net,
Sum(CASE
WHEN d_moy = 9 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS sep_net,
Sum(CASE
WHEN d_moy = 10 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS oct_net,
Sum(CASE
WHEN d_moy = 11 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS nov_net,
Sum(CASE
WHEN d_moy = 12 THEN cs_net_paid * cs_quantity
ELSE 0
END) AS dec_net
FROM catalog_sales,
warehouse,
date_dim,
time_dim,
ship_mode
WHERE cs_warehouse_sk = w_warehouse_sk
AND cs_sold_date_sk = d_date_sk
AND cs_sold_time_sk = t_time_sk
AND cs_ship_mode_sk = sm_ship_mode_sk
AND d_year = 1998
AND t_time BETWEEN 7249 AND 7249 + 28800
AND sm_carrier IN ( 'ZOUROS', 'ZHOU' )
GROUP BY w_warehouse_name,
w_warehouse_sq_ft,
w_city,
w_county,
w_state,
w_country,
d_year) x
GROUP BY w_warehouse_name,
w_warehouse_sq_ft,
w_city,
w_county,
w_state,
w_country,
ship_carriers,
year1
ORDER BY w_warehouse_name
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_year" = 1998
), "ship_mode_2" AS (
SELECT
"ship_mode"."sm_ship_mode_sk" AS "sm_ship_mode_sk",
"ship_mode"."sm_carrier" AS "sm_carrier"
FROM "ship_mode" AS "ship_mode"
WHERE
"ship_mode"."sm_carrier" IN ('ZOUROS', 'ZHOU')
), "time_dim_2" AS (
SELECT
"time_dim"."t_time_sk" AS "t_time_sk",
"time_dim"."t_time" AS "t_time"
FROM "time_dim" AS "time_dim"
WHERE
"time_dim"."t_time" <= 36049 AND "time_dim"."t_time" >= 7249
), "warehouse_2" AS (
SELECT
"warehouse"."w_warehouse_sk" AS "w_warehouse_sk",
"warehouse"."w_warehouse_name" AS "w_warehouse_name",
"warehouse"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft",
"warehouse"."w_city" AS "w_city",
"warehouse"."w_county" AS "w_county",
"warehouse"."w_state" AS "w_state",
"warehouse"."w_country" AS "w_country"
FROM "warehouse" AS "warehouse"
), "x" AS (
SELECT
"warehouse"."w_warehouse_name" AS "w_warehouse_name",
"warehouse"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft",
"warehouse"."w_city" AS "w_city",
"warehouse"."w_county" AS "w_county",
"warehouse"."w_state" AS "w_state",
"warehouse"."w_country" AS "w_country",
'ZOUROS,ZHOU' AS "ship_carriers",
"date_dim"."d_year" AS "year1",
SUM(
CASE
WHEN "date_dim"."d_moy" = 1
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "jan_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 2
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "feb_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 3
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "mar_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 4
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "apr_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 5
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "may_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 6
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "jun_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 7
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "jul_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 8
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "aug_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 9
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "sep_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 10
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "oct_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 11
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "nov_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 12
THEN "web_sales"."ws_ext_sales_price" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "dec_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 1
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "jan_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 2
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "feb_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 3
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "mar_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 4
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "apr_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 5
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "may_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 6
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "jun_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 7
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "jul_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 8
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "aug_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 9
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "sep_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 10
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "oct_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 11
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "nov_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 12
THEN "web_sales"."ws_net_paid_inc_ship" * "web_sales"."ws_quantity"
ELSE 0
END
) AS "dec_net"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "ship_mode_2" AS "ship_mode"
ON "ship_mode"."sm_ship_mode_sk" = "web_sales"."ws_ship_mode_sk"
JOIN "time_dim_2" AS "time_dim"
ON "time_dim"."t_time_sk" = "web_sales"."ws_sold_time_sk"
JOIN "warehouse_2" AS "warehouse"
ON "warehouse"."w_warehouse_sk" = "web_sales"."ws_warehouse_sk"
GROUP BY
"warehouse"."w_warehouse_name",
"warehouse"."w_warehouse_sq_ft",
"warehouse"."w_city",
"warehouse"."w_county",
"warehouse"."w_state",
"warehouse"."w_country",
"date_dim"."d_year"
UNION ALL
SELECT
"warehouse"."w_warehouse_name" AS "w_warehouse_name",
"warehouse"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft",
"warehouse"."w_city" AS "w_city",
"warehouse"."w_county" AS "w_county",
"warehouse"."w_state" AS "w_state",
"warehouse"."w_country" AS "w_country",
'ZOUROS,ZHOU' AS "ship_carriers",
"date_dim"."d_year" AS "year1",
SUM(
CASE
WHEN "date_dim"."d_moy" = 1
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "jan_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 2
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "feb_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 3
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "mar_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 4
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "apr_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 5
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "may_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 6
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "jun_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 7
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "jul_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 8
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "aug_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 9
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "sep_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 10
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "oct_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 11
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "nov_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 12
THEN "catalog_sales"."cs_ext_sales_price" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "dec_sales",
SUM(
CASE
WHEN "date_dim"."d_moy" = 1
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "jan_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 2
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "feb_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 3
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "mar_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 4
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "apr_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 5
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "may_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 6
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "jun_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 7
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "jul_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 8
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "aug_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 9
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "sep_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 10
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "oct_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 11
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "nov_net",
SUM(
CASE
WHEN "date_dim"."d_moy" = 12
THEN "catalog_sales"."cs_net_paid" * "catalog_sales"."cs_quantity"
ELSE 0
END
) AS "dec_net"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "ship_mode_2" AS "ship_mode"
ON "catalog_sales"."cs_ship_mode_sk" = "ship_mode"."sm_ship_mode_sk"
JOIN "time_dim_2" AS "time_dim"
ON "catalog_sales"."cs_sold_time_sk" = "time_dim"."t_time_sk"
JOIN "warehouse_2" AS "warehouse"
ON "catalog_sales"."cs_warehouse_sk" = "warehouse"."w_warehouse_sk"
GROUP BY
"warehouse"."w_warehouse_name",
"warehouse"."w_warehouse_sq_ft",
"warehouse"."w_city",
"warehouse"."w_county",
"warehouse"."w_state",
"warehouse"."w_country",
"date_dim"."d_year"
)
SELECT
"x"."w_warehouse_name" AS "w_warehouse_name",
"x"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft",
"x"."w_city" AS "w_city",
"x"."w_county" AS "w_county",
"x"."w_state" AS "w_state",
"x"."w_country" AS "w_country",
"x"."ship_carriers" AS "ship_carriers",
"x"."year1" AS "year1",
SUM("x"."jan_sales") AS "jan_sales",
SUM("x"."feb_sales") AS "feb_sales",
SUM("x"."mar_sales") AS "mar_sales",
SUM("x"."apr_sales") AS "apr_sales",
SUM("x"."may_sales") AS "may_sales",
SUM("x"."jun_sales") AS "jun_sales",
SUM("x"."jul_sales") AS "jul_sales",
SUM("x"."aug_sales") AS "aug_sales",
SUM("x"."sep_sales") AS "sep_sales",
SUM("x"."oct_sales") AS "oct_sales",
SUM("x"."nov_sales") AS "nov_sales",
SUM("x"."dec_sales") AS "dec_sales",
SUM("x"."jan_sales" / "x"."w_warehouse_sq_ft") AS "jan_sales_per_sq_foot",
SUM("x"."feb_sales" / "x"."w_warehouse_sq_ft") AS "feb_sales_per_sq_foot",
SUM("x"."mar_sales" / "x"."w_warehouse_sq_ft") AS "mar_sales_per_sq_foot",
SUM("x"."apr_sales" / "x"."w_warehouse_sq_ft") AS "apr_sales_per_sq_foot",
SUM("x"."may_sales" / "x"."w_warehouse_sq_ft") AS "may_sales_per_sq_foot",
SUM("x"."jun_sales" / "x"."w_warehouse_sq_ft") AS "jun_sales_per_sq_foot",
SUM("x"."jul_sales" / "x"."w_warehouse_sq_ft") AS "jul_sales_per_sq_foot",
SUM("x"."aug_sales" / "x"."w_warehouse_sq_ft") AS "aug_sales_per_sq_foot",
SUM("x"."sep_sales" / "x"."w_warehouse_sq_ft") AS "sep_sales_per_sq_foot",
SUM("x"."oct_sales" / "x"."w_warehouse_sq_ft") AS "oct_sales_per_sq_foot",
SUM("x"."nov_sales" / "x"."w_warehouse_sq_ft") AS "nov_sales_per_sq_foot",
SUM("x"."dec_sales" / "x"."w_warehouse_sq_ft") AS "dec_sales_per_sq_foot",
SUM("x"."jan_net") AS "jan_net",
SUM("x"."feb_net") AS "feb_net",
SUM("x"."mar_net") AS "mar_net",
SUM("x"."apr_net") AS "apr_net",
SUM("x"."may_net") AS "may_net",
SUM("x"."jun_net") AS "jun_net",
SUM("x"."jul_net") AS "jul_net",
SUM("x"."aug_net") AS "aug_net",
SUM("x"."sep_net") AS "sep_net",
SUM("x"."oct_net") AS "oct_net",
SUM("x"."nov_net") AS "nov_net",
SUM("x"."dec_net") AS "dec_net"
FROM "x" AS "x"
GROUP BY
"x"."w_warehouse_name",
"x"."w_warehouse_sq_ft",
"x"."w_city",
"x"."w_county",
"x"."w_state",
"x"."w_country",
"x"."ship_carriers",
"x"."year1"
ORDER BY
"w_warehouse_name"
LIMIT 100;
--------------------------------------
-- TPC-DS 67
--------------------------------------
select *
from (select i_category
,i_class
,i_brand
,i_product_name
,d_year
,d_qoy
,d_moy
,s_store_id
,sumsales
,rank() over (partition by i_category order by sumsales desc) rk
from (select i_category
,i_class
,i_brand
,i_product_name
,d_year
,d_qoy
,d_moy
,s_store_id
,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales
from store_sales
,date_dim
,store
,item
where ss_sold_date_sk=d_date_sk
and ss_item_sk=i_item_sk
and ss_store_sk = s_store_sk
and d_month_seq between 1181 and 1181+11
group by rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2
where rk <= 100
order by i_category
,i_class
,i_brand
,i_product_name
,d_year
,d_qoy
,d_moy
,s_store_id
,sumsales
,rk
limit 100;
WITH "dw1" AS (
SELECT
"item"."i_category" AS "i_category",
"item"."i_class" AS "i_class",
"item"."i_brand" AS "i_brand",
"item"."i_product_name" AS "i_product_name",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_qoy" AS "d_qoy",
"date_dim"."d_moy" AS "d_moy",
"store"."s_store_id" AS "s_store_id",
SUM(COALESCE("store_sales"."ss_sales_price" * "store_sales"."ss_quantity", 0)) AS "sumsales"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_month_seq" <= 1192
AND "date_dim"."d_month_seq" >= 1181
JOIN "item" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
ROLLUP (
"item"."i_category",
"item"."i_class",
"item"."i_brand",
"item"."i_product_name",
"date_dim"."d_year",
"date_dim"."d_qoy",
"date_dim"."d_moy",
"store"."s_store_id"
)
), "dw2" AS (
SELECT
"dw1"."i_category" AS "i_category",
"dw1"."i_class" AS "i_class",
"dw1"."i_brand" AS "i_brand",
"dw1"."i_product_name" AS "i_product_name",
"dw1"."d_year" AS "d_year",
"dw1"."d_qoy" AS "d_qoy",
"dw1"."d_moy" AS "d_moy",
"dw1"."s_store_id" AS "s_store_id",
"dw1"."sumsales" AS "sumsales",
RANK() OVER (PARTITION BY "dw1"."i_category" ORDER BY "dw1"."sumsales" DESC) AS "rk"
FROM "dw1" AS "dw1"
)
SELECT
"dw2"."i_category" AS "i_category",
"dw2"."i_class" AS "i_class",
"dw2"."i_brand" AS "i_brand",
"dw2"."i_product_name" AS "i_product_name",
"dw2"."d_year" AS "d_year",
"dw2"."d_qoy" AS "d_qoy",
"dw2"."d_moy" AS "d_moy",
"dw2"."s_store_id" AS "s_store_id",
"dw2"."sumsales" AS "sumsales",
"dw2"."rk" AS "rk"
FROM "dw2" AS "dw2"
WHERE
"dw2"."rk" <= 100
ORDER BY
"dw2"."i_category",
"dw2"."i_class",
"dw2"."i_brand",
"dw2"."i_product_name",
"dw2"."d_year",
"dw2"."d_qoy",
"dw2"."d_moy",
"dw2"."s_store_id",
"dw2"."sumsales",
"dw2"."rk"
LIMIT 100;
--------------------------------------
-- TPC-DS 68
--------------------------------------
# execute: true
SELECT c_last_name,
c_first_name,
ca_city,
bought_city,
ss_ticket_number,
extended_price,
extended_tax,
list_price
FROM (SELECT ss_ticket_number,
ss_customer_sk,
ca_city bought_city,
Sum(ss_ext_sales_price) extended_price,
Sum(ss_ext_list_price) list_price,
Sum(ss_ext_tax) extended_tax
FROM store_sales,
date_dim,
store,
household_demographics,
customer_address
WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
AND store_sales.ss_store_sk = store.s_store_sk
AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
AND store_sales.ss_addr_sk = customer_address.ca_address_sk
AND date_dim.d_dom BETWEEN 1 AND 2
AND ( household_demographics.hd_dep_count = 8
OR household_demographics.hd_vehicle_count = 3 )
AND date_dim.d_year IN ( 1998, 1998 + 1, 1998 + 2 )
AND store.s_city IN ( 'Fairview', 'Midway' )
GROUP BY ss_ticket_number,
ss_customer_sk,
ss_addr_sk,
ca_city) dn,
customer,
customer_address current_addr
WHERE ss_customer_sk = c_customer_sk
AND customer.c_current_addr_sk = current_addr.ca_address_sk
AND current_addr.ca_city <> bought_city
ORDER BY c_last_name,
ss_ticket_number
LIMIT 100;
WITH "dn" AS (
SELECT
"store_sales"."ss_ticket_number" AS "ss_ticket_number",
"store_sales"."ss_customer_sk" AS "ss_customer_sk",
"customer_address"."ca_city" AS "bought_city",
SUM("store_sales"."ss_ext_sales_price") AS "extended_price",
SUM("store_sales"."ss_ext_list_price") AS "list_price",
SUM("store_sales"."ss_ext_tax") AS "extended_tax"
FROM "store_sales" AS "store_sales"
JOIN "customer_address" AS "customer_address"
ON "customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_dom" <= 2
AND "date_dim"."d_dom" >= 1
AND "date_dim"."d_year" IN (1998, 1999, 2000)
JOIN "household_demographics" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
AND (
"household_demographics"."hd_dep_count" = 8
OR "household_demographics"."hd_vehicle_count" = 3
)
JOIN "store" AS "store"
ON "store"."s_city" IN ('Fairview', 'Midway')
AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
"store_sales"."ss_ticket_number",
"store_sales"."ss_customer_sk",
"store_sales"."ss_addr_sk",
"customer_address"."ca_city"
)
SELECT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"current_addr"."ca_city" AS "ca_city",
"dn"."bought_city" AS "bought_city",
"dn"."ss_ticket_number" AS "ss_ticket_number",
"dn"."extended_price" AS "extended_price",
"dn"."extended_tax" AS "extended_tax",
"dn"."list_price" AS "list_price"
FROM "dn" AS "dn"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "dn"."ss_customer_sk"
JOIN "customer_address" AS "current_addr"
ON "current_addr"."ca_address_sk" = "customer"."c_current_addr_sk"
AND "current_addr"."ca_city" <> "dn"."bought_city"
ORDER BY
"c_last_name",
"ss_ticket_number"
LIMIT 100;
--------------------------------------
-- TPC-DS 69
--------------------------------------
# execute: true
SELECT cd_gender,
cd_marital_status,
cd_education_status,
Count(*) cnt1,
cd_purchase_estimate,
Count(*) cnt2,
cd_credit_rating,
Count(*) cnt3
FROM customer c,
customer_address ca,
customer_demographics
WHERE c.c_current_addr_sk = ca.ca_address_sk
AND ca_state IN ( 'KS', 'AZ', 'NE' )
AND cd_demo_sk = c.c_current_cdemo_sk
AND EXISTS (SELECT *
FROM store_sales,
date_dim
WHERE c.c_customer_sk = ss_customer_sk
AND ss_sold_date_sk = d_date_sk
AND d_year = 2004
AND d_moy BETWEEN 3 AND 3 + 2)
AND ( NOT EXISTS (SELECT *
FROM web_sales,
date_dim
WHERE c.c_customer_sk = ws_bill_customer_sk
AND ws_sold_date_sk = d_date_sk
AND d_year = 2004
AND d_moy BETWEEN 3 AND 3 + 2)
AND NOT EXISTS (SELECT *
FROM catalog_sales,
date_dim
WHERE c.c_customer_sk = cs_ship_customer_sk
AND cs_sold_date_sk = d_date_sk
AND d_year = 2004
AND d_moy BETWEEN 3 AND 3 + 2) )
GROUP BY cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating
ORDER BY cd_gender,
cd_marital_status,
cd_education_status,
cd_purchase_estimate,
cd_credit_rating
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date_id" AS "d_date_id",
"date_dim"."d_date" AS "d_date",
"date_dim"."d_month_seq" AS "d_month_seq",
"date_dim"."d_week_seq" AS "d_week_seq",
"date_dim"."d_quarter_seq" AS "d_quarter_seq",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_dow" AS "d_dow",
"date_dim"."d_moy" AS "d_moy",
"date_dim"."d_dom" AS "d_dom",
"date_dim"."d_qoy" AS "d_qoy",
"date_dim"."d_fy_year" AS "d_fy_year",
"date_dim"."d_fy_quarter_seq" AS "d_fy_quarter_seq",
"date_dim"."d_fy_week_seq" AS "d_fy_week_seq",
"date_dim"."d_day_name" AS "d_day_name",
"date_dim"."d_quarter_name" AS "d_quarter_name",
"date_dim"."d_holiday" AS "d_holiday",
"date_dim"."d_weekend" AS "d_weekend",
"date_dim"."d_following_holiday" AS "d_following_holiday",
"date_dim"."d_first_dom" AS "d_first_dom",
"date_dim"."d_last_dom" AS "d_last_dom",
"date_dim"."d_same_day_ly" AS "d_same_day_ly",
"date_dim"."d_same_day_lq" AS "d_same_day_lq",
"date_dim"."d_current_day" AS "d_current_day",
"date_dim"."d_current_week" AS "d_current_week",
"date_dim"."d_current_month" AS "d_current_month",
"date_dim"."d_current_quarter" AS "d_current_quarter",
"date_dim"."d_current_year" AS "d_current_year"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" <= 5 AND "date_dim"."d_moy" >= 3 AND "date_dim"."d_year" = 2004
), "_u_0" AS (
SELECT
"store_sales"."ss_customer_sk" AS "_u_1"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"store_sales"."ss_customer_sk"
), "_u_2" AS (
SELECT
"web_sales"."ws_bill_customer_sk" AS "_u_3"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
GROUP BY
"web_sales"."ws_bill_customer_sk"
), "_u_4" AS (
SELECT
"catalog_sales"."cs_ship_customer_sk" AS "_u_5"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
GROUP BY
"catalog_sales"."cs_ship_customer_sk"
)
SELECT
"customer_demographics"."cd_gender" AS "cd_gender",
"customer_demographics"."cd_marital_status" AS "cd_marital_status",
"customer_demographics"."cd_education_status" AS "cd_education_status",
COUNT(*) AS "cnt1",
"customer_demographics"."cd_purchase_estimate" AS "cd_purchase_estimate",
COUNT(*) AS "cnt2",
"customer_demographics"."cd_credit_rating" AS "cd_credit_rating",
COUNT(*) AS "cnt3"
FROM "customer" AS "c"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "c"."c_customer_sk"
LEFT JOIN "_u_2" AS "_u_2"
ON "_u_2"."_u_3" = "c"."c_customer_sk"
LEFT JOIN "_u_4" AS "_u_4"
ON "_u_4"."_u_5" = "c"."c_customer_sk"
JOIN "customer_address" AS "ca"
ON "c"."c_current_addr_sk" = "ca"."ca_address_sk"
AND "ca"."ca_state" IN ('KS', 'AZ', 'NE')
JOIN "customer_demographics" AS "customer_demographics"
ON "c"."c_current_cdemo_sk" = "customer_demographics"."cd_demo_sk"
WHERE
"_u_2"."_u_3" IS NULL AND "_u_4"."_u_5" IS NULL AND NOT "_u_0"."_u_1" IS NULL
GROUP BY
"customer_demographics"."cd_gender",
"customer_demographics"."cd_marital_status",
"customer_demographics"."cd_education_status",
"customer_demographics"."cd_purchase_estimate",
"customer_demographics"."cd_credit_rating"
ORDER BY
"cd_gender",
"cd_marital_status",
"cd_education_status",
"cd_purchase_estimate",
"cd_credit_rating"
LIMIT 100;
--------------------------------------
-- TPC-DS 70
--------------------------------------
SELECT Sum(ss_net_profit) AS total_sum,
s_state,
s_county,
Grouping(s_state) + Grouping(s_county) AS lochierarchy,
Rank()
OVER (
partition BY Grouping(s_state)+Grouping(s_county), CASE WHEN
Grouping(
s_county) = 0 THEN s_state END
ORDER BY Sum(ss_net_profit) DESC) AS rank_within_parent
FROM store_sales,
date_dim d1,
store
WHERE d1.d_month_seq BETWEEN 1200 AND 1200 + 11
AND d1.d_date_sk = ss_sold_date_sk
AND s_store_sk = ss_store_sk
AND s_state IN (SELECT s_state
FROM (SELECT s_state AS
s_state,
Rank()
OVER (
partition BY s_state
ORDER BY Sum(ss_net_profit) DESC) AS
ranking
FROM store_sales,
store,
date_dim
WHERE d_month_seq BETWEEN 1200 AND 1200 + 11
AND d_date_sk = ss_sold_date_sk
AND s_store_sk = ss_store_sk
GROUP BY s_state) tmp1
WHERE ranking <= 5)
GROUP BY rollup( s_state, s_county )
ORDER BY lochierarchy DESC,
CASE
WHEN lochierarchy = 0 THEN s_state
END,
rank_within_parent
LIMIT 100;
WITH "store_sales_2" AS (
SELECT
"store_sales"."ss_sold_date_sk" AS "ss_sold_date_sk",
"store_sales"."ss_store_sk" AS "ss_store_sk",
"store_sales"."ss_net_profit" AS "ss_net_profit"
FROM "store_sales" AS "store_sales"
), "tmp1" AS (
SELECT
"store"."s_state" AS "s_state",
RANK() OVER (PARTITION BY "store"."s_state" ORDER BY SUM("store_sales"."ss_net_profit") DESC) AS "ranking"
FROM "store_sales_2" AS "store_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_month_seq" <= 1211
AND "date_dim"."d_month_seq" >= 1200
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
"store"."s_state"
), "_u_0" AS (
SELECT
"tmp1"."s_state" AS "s_state"
FROM "tmp1" AS "tmp1"
WHERE
"tmp1"."ranking" <= 5
GROUP BY
"tmp1"."s_state"
)
SELECT
SUM("store_sales"."ss_net_profit") AS "total_sum",
"store"."s_state" AS "s_state",
"store"."s_county" AS "s_county",
GROUPING("store"."s_state") + GROUPING("store"."s_county") AS "lochierarchy",
RANK() OVER (
PARTITION BY GROUPING("store"."s_state") + GROUPING("store"."s_county"), CASE WHEN GROUPING("store"."s_county") = 0 THEN "store"."s_state" END
ORDER BY SUM("store_sales"."ss_net_profit") DESC
) AS "rank_within_parent"
FROM "store_sales_2" AS "store_sales"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "d1"."d_month_seq" <= 1211
AND "d1"."d_month_seq" >= 1200
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."s_state" = "store"."s_state"
WHERE
NOT "_u_0"."s_state" IS NULL
GROUP BY
ROLLUP (
"store"."s_state",
"store"."s_county"
)
ORDER BY
"lochierarchy" DESC,
CASE WHEN "lochierarchy" = 0 THEN "s_state" END,
"rank_within_parent"
LIMIT 100;
--------------------------------------
-- TPC-DS 71
--------------------------------------
# execute: true
SELECT i_brand_id brand_id,
i_brand brand,
t_hour,
t_minute,
Sum(ext_price) ext_price
FROM item,
(SELECT ws_ext_sales_price AS ext_price,
ws_sold_date_sk AS sold_date_sk,
ws_item_sk AS sold_item_sk,
ws_sold_time_sk AS time_sk
FROM web_sales,
date_dim
WHERE d_date_sk = ws_sold_date_sk
AND d_moy = 11
AND d_year = 2001
UNION ALL
SELECT cs_ext_sales_price AS ext_price,
cs_sold_date_sk AS sold_date_sk,
cs_item_sk AS sold_item_sk,
cs_sold_time_sk AS time_sk
FROM catalog_sales,
date_dim
WHERE d_date_sk = cs_sold_date_sk
AND d_moy = 11
AND d_year = 2001
UNION ALL
SELECT ss_ext_sales_price AS ext_price,
ss_sold_date_sk AS sold_date_sk,
ss_item_sk AS sold_item_sk,
ss_sold_time_sk AS time_sk
FROM store_sales,
date_dim
WHERE d_date_sk = ss_sold_date_sk
AND d_moy = 11
AND d_year = 2001) AS tmp,
time_dim
WHERE sold_item_sk = i_item_sk
AND i_manager_id = 1
AND time_sk = t_time_sk
AND ( t_meal_time = 'breakfast'
OR t_meal_time = 'dinner' )
GROUP BY i_brand,
i_brand_id,
t_hour,
t_minute
ORDER BY ext_price DESC,
i_brand_id;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_moy" AS "d_moy"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_moy" = 11 AND "date_dim"."d_year" = 2001
), "tmp" AS (
SELECT
"web_sales"."ws_ext_sales_price" AS "ext_price",
"web_sales"."ws_item_sk" AS "sold_item_sk",
"web_sales"."ws_sold_time_sk" AS "time_sk"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
UNION ALL
SELECT
"catalog_sales"."cs_ext_sales_price" AS "ext_price",
"catalog_sales"."cs_item_sk" AS "sold_item_sk",
"catalog_sales"."cs_sold_time_sk" AS "time_sk"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
UNION ALL
SELECT
"store_sales"."ss_ext_sales_price" AS "ext_price",
"store_sales"."ss_item_sk" AS "sold_item_sk",
"store_sales"."ss_sold_time_sk" AS "time_sk"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
)
SELECT
"item"."i_brand_id" AS "brand_id",
"item"."i_brand" AS "brand",
"time_dim"."t_hour" AS "t_hour",
"time_dim"."t_minute" AS "t_minute",
SUM("tmp"."ext_price") AS "ext_price"
FROM "item" AS "item"
JOIN "tmp" AS "tmp"
ON "item"."i_item_sk" = "tmp"."sold_item_sk"
JOIN "time_dim" AS "time_dim"
ON (
"time_dim"."t_meal_time" = 'breakfast' OR "time_dim"."t_meal_time" = 'dinner'
)
AND "time_dim"."t_time_sk" = "tmp"."time_sk"
WHERE
"item"."i_manager_id" = 1
GROUP BY
"item"."i_brand",
"item"."i_brand_id",
"time_dim"."t_hour",
"time_dim"."t_minute"
ORDER BY
"ext_price" DESC,
"brand_id";
--------------------------------------
-- TPC-DS 72
--------------------------------------
SELECT i_item_desc,
w_warehouse_name,
d1.d_week_seq,
Sum(CASE
WHEN p_promo_sk IS NULL THEN 1
ELSE 0
END) no_promo,
Sum(CASE
WHEN p_promo_sk IS NOT NULL THEN 1
ELSE 0
END) promo,
Count(*) total_cnt
FROM catalog_sales
JOIN inventory
ON ( cs_item_sk = inv_item_sk )
JOIN warehouse
ON ( w_warehouse_sk = inv_warehouse_sk )
JOIN item
ON ( i_item_sk = cs_item_sk )
JOIN customer_demographics
ON ( cs_bill_cdemo_sk = cd_demo_sk )
JOIN household_demographics
ON ( cs_bill_hdemo_sk = hd_demo_sk )
JOIN date_dim d1
ON ( cs_sold_date_sk = d1.d_date_sk )
JOIN date_dim d2
ON ( inv_date_sk = d2.d_date_sk )
JOIN date_dim d3
ON ( cs_ship_date_sk = d3.d_date_sk )
LEFT OUTER JOIN promotion
ON ( cs_promo_sk = p_promo_sk )
LEFT OUTER JOIN catalog_returns
ON ( cr_item_sk = cs_item_sk
AND cr_order_number = cs_order_number )
WHERE d1.d_week_seq = d2.d_week_seq
AND inv_quantity_on_hand < cs_quantity
AND d3.d_date > d1.d_date + INTERVAL '5' day
AND hd_buy_potential = '501-1000'
AND d1.d_year = 2002
AND cd_marital_status = 'M'
GROUP BY i_item_desc,
w_warehouse_name,
d1.d_week_seq
ORDER BY total_cnt DESC,
i_item_desc,
w_warehouse_name,
d_week_seq
LIMIT 100;
SELECT
"item"."i_item_desc" AS "i_item_desc",
"warehouse"."w_warehouse_name" AS "w_warehouse_name",
"d1"."d_week_seq" AS "d_week_seq",
SUM(CASE WHEN "promotion"."p_promo_sk" IS NULL THEN 1 ELSE 0 END) AS "no_promo",
SUM(CASE WHEN NOT "promotion"."p_promo_sk" IS NULL THEN 1 ELSE 0 END) AS "promo",
COUNT(*) AS "total_cnt"
FROM "catalog_sales" AS "catalog_sales"
LEFT JOIN "catalog_returns" AS "catalog_returns"
ON "catalog_returns"."cr_item_sk" = "catalog_sales"."cs_item_sk"
AND "catalog_returns"."cr_order_number" = "catalog_sales"."cs_order_number"
JOIN "customer_demographics" AS "customer_demographics"
ON "catalog_sales"."cs_bill_cdemo_sk" = "customer_demographics"."cd_demo_sk"
AND "customer_demographics"."cd_marital_status" = 'M'
JOIN "date_dim" AS "d1"
ON "catalog_sales"."cs_sold_date_sk" = "d1"."d_date_sk" AND "d1"."d_year" = 2002
JOIN "household_demographics" AS "household_demographics"
ON "catalog_sales"."cs_bill_hdemo_sk" = "household_demographics"."hd_demo_sk"
AND "household_demographics"."hd_buy_potential" = '501-1000'
JOIN "inventory" AS "inventory"
ON "catalog_sales"."cs_item_sk" = "inventory"."inv_item_sk"
AND "catalog_sales"."cs_quantity" > "inventory"."inv_quantity_on_hand"
JOIN "item" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
LEFT JOIN "promotion" AS "promotion"
ON "catalog_sales"."cs_promo_sk" = "promotion"."p_promo_sk"
JOIN "date_dim" AS "d2"
ON "d1"."d_week_seq" = "d2"."d_week_seq"
AND "d2"."d_date_sk" = "inventory"."inv_date_sk"
JOIN "date_dim" AS "d3"
ON "catalog_sales"."cs_ship_date_sk" = "d3"."d_date_sk"
AND "d3"."d_date" > "d1"."d_date" + INTERVAL '5' DAY
JOIN "warehouse" AS "warehouse"
ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk"
GROUP BY
"item"."i_item_desc",
"warehouse"."w_warehouse_name",
"d1"."d_week_seq"
ORDER BY
"total_cnt" DESC,
"i_item_desc",
"w_warehouse_name",
"d_week_seq"
LIMIT 100;
--------------------------------------
-- TPC-DS 73
--------------------------------------
# execute: true
SELECT c_last_name,
c_first_name,
c_salutation,
c_preferred_cust_flag,
ss_ticket_number,
cnt
FROM (SELECT ss_ticket_number,
ss_customer_sk,
Count(*) cnt
FROM store_sales,
date_dim,
store,
household_demographics
WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
AND store_sales.ss_store_sk = store.s_store_sk
AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
AND date_dim.d_dom BETWEEN 1 AND 2
AND ( household_demographics.hd_buy_potential = '>10000'
OR household_demographics.hd_buy_potential = '0-500' )
AND household_demographics.hd_vehicle_count > 0
AND CASE
WHEN household_demographics.hd_vehicle_count > 0 THEN
household_demographics.hd_dep_count /
household_demographics.hd_vehicle_count
ELSE NULL
END > 1
AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 )
AND store.s_county IN ( 'Williamson County', 'Williamson County',
'Williamson County',
'Williamson County'
)
GROUP BY ss_ticket_number,
ss_customer_sk) dj,
customer
WHERE ss_customer_sk = c_customer_sk
AND cnt BETWEEN 1 AND 5
ORDER BY cnt DESC,
c_last_name ASC;
WITH "dj" AS (
SELECT
"store_sales"."ss_ticket_number" AS "ss_ticket_number",
"store_sales"."ss_customer_sk" AS "ss_customer_sk",
COUNT(*) AS "cnt"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_dom" <= 2
AND "date_dim"."d_dom" >= 1
AND "date_dim"."d_year" IN (2000, 2001, 2002)
JOIN "household_demographics" AS "household_demographics"
ON (
"household_demographics"."hd_buy_potential" = '0-500'
OR "household_demographics"."hd_buy_potential" = '>10000'
)
AND "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
AND "household_demographics"."hd_vehicle_count" > 0
AND CASE
WHEN "household_demographics"."hd_vehicle_count" > 0
THEN "household_demographics"."hd_dep_count" / "household_demographics"."hd_vehicle_count"
ELSE NULL
END > 1
JOIN "store" AS "store"
ON "store"."s_county" IN (
'Williamson County',
'Williamson County',
'Williamson County',
'Williamson County'
)
AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
"store_sales"."ss_ticket_number",
"store_sales"."ss_customer_sk"
)
SELECT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"customer"."c_salutation" AS "c_salutation",
"customer"."c_preferred_cust_flag" AS "c_preferred_cust_flag",
"dj"."ss_ticket_number" AS "ss_ticket_number",
"dj"."cnt" AS "cnt"
FROM "dj" AS "dj"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "dj"."ss_customer_sk"
WHERE
"dj"."cnt" <= 5 AND "dj"."cnt" >= 1
ORDER BY
"cnt" DESC,
"c_last_name";
--------------------------------------
-- TPC-DS 74
--------------------------------------
# execute: true
WITH year_total
AS (SELECT c_customer_id customer_id,
c_first_name customer_first_name,
c_last_name customer_last_name,
d_year AS year1,
Sum(ss_net_paid) year_total,
's' sale_type
FROM customer,
store_sales,
date_dim
WHERE c_customer_sk = ss_customer_sk
AND ss_sold_date_sk = d_date_sk
AND d_year IN ( 1999, 1999 + 1 )
GROUP BY c_customer_id,
c_first_name,
c_last_name,
d_year
UNION ALL
SELECT c_customer_id customer_id,
c_first_name customer_first_name,
c_last_name customer_last_name,
d_year AS year1,
Sum(ws_net_paid) year_total,
'w' sale_type
FROM customer,
web_sales,
date_dim
WHERE c_customer_sk = ws_bill_customer_sk
AND ws_sold_date_sk = d_date_sk
AND d_year IN ( 1999, 1999 + 1 )
GROUP BY c_customer_id,
c_first_name,
c_last_name,
d_year)
SELECT t_s_secyear.customer_id,
t_s_secyear.customer_first_name,
t_s_secyear.customer_last_name
FROM year_total t_s_firstyear,
year_total t_s_secyear,
year_total t_w_firstyear,
year_total t_w_secyear
WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id
AND t_s_firstyear.customer_id = t_w_secyear.customer_id
AND t_s_firstyear.customer_id = t_w_firstyear.customer_id
AND t_s_firstyear.sale_type = 's'
AND t_w_firstyear.sale_type = 'w'
AND t_s_secyear.sale_type = 's'
AND t_w_secyear.sale_type = 'w'
AND t_s_firstyear.year1 = 1999
AND t_s_secyear.year1 = 1999 + 1
AND t_w_firstyear.year1 = 1999
AND t_w_secyear.year1 = 1999 + 1
AND t_s_firstyear.year_total > 0
AND t_w_firstyear.year_total > 0
AND CASE
WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total /
t_w_firstyear.year_total
ELSE NULL
END > CASE
WHEN t_s_firstyear.year_total > 0 THEN
t_s_secyear.year_total /
t_s_firstyear.year_total
ELSE NULL
END
ORDER BY 1,
2,
3
LIMIT 100;
WITH "customer_2" AS (
SELECT
"customer"."c_customer_sk" AS "c_customer_sk",
"customer"."c_customer_id" AS "c_customer_id",
"customer"."c_first_name" AS "c_first_name",
"customer"."c_last_name" AS "c_last_name"
FROM "customer" AS "customer"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_year" IN (1999, 2000)
), "year_total" AS (
SELECT
"customer"."c_customer_id" AS "customer_id",
"customer"."c_first_name" AS "customer_first_name",
"customer"."c_last_name" AS "customer_last_name",
"date_dim"."d_year" AS "year1",
SUM("store_sales"."ss_net_paid") AS "year_total",
's' AS "sale_type"
FROM "customer_2" AS "customer"
JOIN "store_sales" AS "store_sales"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"customer"."c_customer_id",
"customer"."c_first_name",
"customer"."c_last_name",
"date_dim"."d_year"
UNION ALL
SELECT
"customer"."c_customer_id" AS "customer_id",
"customer"."c_first_name" AS "customer_first_name",
"customer"."c_last_name" AS "customer_last_name",
"date_dim"."d_year" AS "year1",
SUM("web_sales"."ws_net_paid") AS "year_total",
'w' AS "sale_type"
FROM "customer_2" AS "customer"
JOIN "web_sales" AS "web_sales"
ON "customer"."c_customer_sk" = "web_sales"."ws_bill_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
GROUP BY
"customer"."c_customer_id",
"customer"."c_first_name",
"customer"."c_last_name",
"date_dim"."d_year"
)
SELECT
"t_s_secyear"."customer_id" AS "customer_id",
"t_s_secyear"."customer_first_name" AS "customer_first_name",
"t_s_secyear"."customer_last_name" AS "customer_last_name"
FROM "year_total" AS "t_s_firstyear"
JOIN "year_total" AS "t_s_secyear"
ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id"
AND "t_s_secyear"."sale_type" = 's'
AND "t_s_secyear"."year1" = 2000
JOIN "year_total" AS "t_w_firstyear"
ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id"
AND "t_w_firstyear"."sale_type" = 'w'
AND "t_w_firstyear"."year1" = 1999
AND "t_w_firstyear"."year_total" > 0
JOIN "year_total" AS "t_w_secyear"
ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id"
AND "t_w_secyear"."sale_type" = 'w'
AND "t_w_secyear"."year1" = 2000
AND CASE
WHEN "t_s_firstyear"."year_total" > 0
THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total"
ELSE NULL
END < CASE
WHEN "t_w_firstyear"."year_total" > 0
THEN "t_w_secyear"."year_total" / "t_w_firstyear"."year_total"
ELSE NULL
END
WHERE
"t_s_firstyear"."sale_type" = 's'
AND "t_s_firstyear"."year1" = 1999
AND "t_s_firstyear"."year_total" > 0
ORDER BY
"customer_id",
"customer_first_name",
"customer_last_name"
LIMIT 100;
--------------------------------------
-- TPC-DS 75
--------------------------------------
# execute: true
WITH all_sales
AS (SELECT d_year,
i_brand_id,
i_class_id,
i_category_id,
i_manufact_id,
Sum(sales_cnt) AS sales_cnt,
Sum(sales_amt) AS sales_amt
FROM (SELECT d_year,
i_brand_id,
i_class_id,
i_category_id,
i_manufact_id,
cs_quantity - COALESCE(cr_return_quantity, 0) AS
sales_cnt,
cs_ext_sales_price - COALESCE(cr_return_amount, 0.0) AS
sales_amt
FROM catalog_sales
JOIN item
ON i_item_sk = cs_item_sk
JOIN date_dim
ON d_date_sk = cs_sold_date_sk
LEFT JOIN catalog_returns
ON ( cs_order_number = cr_order_number
AND cs_item_sk = cr_item_sk )
WHERE i_category = 'Men'
UNION
SELECT d_year,
i_brand_id,
i_class_id,
i_category_id,
i_manufact_id,
ss_quantity - COALESCE(sr_return_quantity, 0) AS
sales_cnt,
ss_ext_sales_price - COALESCE(sr_return_amt, 0.0) AS
sales_amt
FROM store_sales
JOIN item
ON i_item_sk = ss_item_sk
JOIN date_dim
ON d_date_sk = ss_sold_date_sk
LEFT JOIN store_returns
ON ( ss_ticket_number = sr_ticket_number
AND ss_item_sk = sr_item_sk )
WHERE i_category = 'Men'
UNION
SELECT d_year,
i_brand_id,
i_class_id,
i_category_id,
i_manufact_id,
ws_quantity - COALESCE(wr_return_quantity, 0) AS
sales_cnt,
ws_ext_sales_price - COALESCE(wr_return_amt, 0.0) AS
sales_amt
FROM web_sales
JOIN item
ON i_item_sk = ws_item_sk
JOIN date_dim
ON d_date_sk = ws_sold_date_sk
LEFT JOIN web_returns
ON ( ws_order_number = wr_order_number
AND ws_item_sk = wr_item_sk )
WHERE i_category = 'Men') sales_detail
GROUP BY d_year,
i_brand_id,
i_class_id,
i_category_id,
i_manufact_id)
SELECT prev_yr.d_year AS prev_year,
curr_yr.d_year AS year1,
curr_yr.i_brand_id,
curr_yr.i_class_id,
curr_yr.i_category_id,
curr_yr.i_manufact_id,
prev_yr.sales_cnt AS prev_yr_cnt,
curr_yr.sales_cnt AS curr_yr_cnt,
curr_yr.sales_cnt - prev_yr.sales_cnt AS sales_cnt_diff,
curr_yr.sales_amt - prev_yr.sales_amt AS sales_amt_diff
FROM all_sales curr_yr,
all_sales prev_yr
WHERE curr_yr.i_brand_id = prev_yr.i_brand_id
AND curr_yr.i_class_id = prev_yr.i_class_id
AND curr_yr.i_category_id = prev_yr.i_category_id
AND curr_yr.i_manufact_id = prev_yr.i_manufact_id
AND curr_yr.d_year = 2002
AND prev_yr.d_year = 2002 - 1
AND Cast(curr_yr.sales_cnt AS DECIMAL(17, 2)) / Cast(prev_yr.sales_cnt AS
DECIMAL(17, 2))
< 0.9
ORDER BY sales_cnt_diff
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year"
FROM "date_dim" AS "date_dim"
), "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_brand_id" AS "i_brand_id",
"item"."i_class_id" AS "i_class_id",
"item"."i_category_id" AS "i_category_id",
"item"."i_category" AS "i_category",
"item"."i_manufact_id" AS "i_manufact_id"
FROM "item" AS "item"
WHERE
"item"."i_category" = 'Men'
), "sales_detail" AS (
SELECT
"date_dim"."d_year" AS "d_year",
"item"."i_brand_id" AS "i_brand_id",
"item"."i_class_id" AS "i_class_id",
"item"."i_category_id" AS "i_category_id",
"item"."i_manufact_id" AS "i_manufact_id",
"catalog_sales"."cs_quantity" - COALESCE("catalog_returns"."cr_return_quantity", 0) AS "sales_cnt",
"catalog_sales"."cs_ext_sales_price" - COALESCE("catalog_returns"."cr_return_amount", 0.0) AS "sales_amt"
FROM "catalog_sales" AS "catalog_sales"
LEFT JOIN "catalog_returns" AS "catalog_returns"
ON "catalog_returns"."cr_item_sk" = "catalog_sales"."cs_item_sk"
AND "catalog_returns"."cr_order_number" = "catalog_sales"."cs_order_number"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "item_2" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
UNION
SELECT
"date_dim"."d_year" AS "d_year",
"item"."i_brand_id" AS "i_brand_id",
"item"."i_class_id" AS "i_class_id",
"item"."i_category_id" AS "i_category_id",
"item"."i_manufact_id" AS "i_manufact_id",
"store_sales"."ss_quantity" - COALESCE("store_returns"."sr_return_quantity", 0) AS "sales_cnt",
"store_sales"."ss_ext_sales_price" - COALESCE("store_returns"."sr_return_amt", 0.0) AS "sales_amt"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
LEFT JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
UNION
SELECT
"date_dim"."d_year" AS "d_year",
"item"."i_brand_id" AS "i_brand_id",
"item"."i_class_id" AS "i_class_id",
"item"."i_category_id" AS "i_category_id",
"item"."i_manufact_id" AS "i_manufact_id",
"web_sales"."ws_quantity" - COALESCE("web_returns"."wr_return_quantity", 0) AS "sales_cnt",
"web_sales"."ws_ext_sales_price" - COALESCE("web_returns"."wr_return_amt", 0.0) AS "sales_amt"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
LEFT JOIN "web_returns" AS "web_returns"
ON "web_returns"."wr_item_sk" = "web_sales"."ws_item_sk"
AND "web_returns"."wr_order_number" = "web_sales"."ws_order_number"
), "all_sales" AS (
SELECT
"sales_detail"."d_year" AS "d_year",
"sales_detail"."i_brand_id" AS "i_brand_id",
"sales_detail"."i_class_id" AS "i_class_id",
"sales_detail"."i_category_id" AS "i_category_id",
"sales_detail"."i_manufact_id" AS "i_manufact_id",
SUM("sales_detail"."sales_cnt") AS "sales_cnt",
SUM("sales_detail"."sales_amt") AS "sales_amt"
FROM "sales_detail" AS "sales_detail"
GROUP BY
"sales_detail"."d_year",
"sales_detail"."i_brand_id",
"sales_detail"."i_class_id",
"sales_detail"."i_category_id",
"sales_detail"."i_manufact_id"
)
SELECT
"prev_yr"."d_year" AS "prev_year",
"curr_yr"."d_year" AS "year1",
"curr_yr"."i_brand_id" AS "i_brand_id",
"curr_yr"."i_class_id" AS "i_class_id",
"curr_yr"."i_category_id" AS "i_category_id",
"curr_yr"."i_manufact_id" AS "i_manufact_id",
"prev_yr"."sales_cnt" AS "prev_yr_cnt",
"curr_yr"."sales_cnt" AS "curr_yr_cnt",
"curr_yr"."sales_cnt" - "prev_yr"."sales_cnt" AS "sales_cnt_diff",
"curr_yr"."sales_amt" - "prev_yr"."sales_amt" AS "sales_amt_diff"
FROM "all_sales" AS "curr_yr"
JOIN "all_sales" AS "prev_yr"
ON "curr_yr"."i_brand_id" = "prev_yr"."i_brand_id"
AND "curr_yr"."i_category_id" = "prev_yr"."i_category_id"
AND "curr_yr"."i_class_id" = "prev_yr"."i_class_id"
AND "curr_yr"."i_manufact_id" = "prev_yr"."i_manufact_id"
AND "prev_yr"."d_year" = 2001
AND CAST("curr_yr"."sales_cnt" AS DECIMAL(17, 2)) / CAST("prev_yr"."sales_cnt" AS DECIMAL(17, 2)) < 0.9
WHERE
"curr_yr"."d_year" = 2002
ORDER BY
"sales_cnt_diff"
LIMIT 100;
--------------------------------------
-- TPC-DS 76
--------------------------------------
# execute: true
SELECT channel,
col_name,
d_year,
d_qoy,
i_category,
Count(*) sales_cnt,
Sum(ext_sales_price) sales_amt
FROM (SELECT 'store' AS channel,
'ss_hdemo_sk' col_name,
d_year,
d_qoy,
i_category,
ss_ext_sales_price ext_sales_price
FROM store_sales,
item,
date_dim
WHERE ss_hdemo_sk IS NULL
AND ss_sold_date_sk = d_date_sk
AND ss_item_sk = i_item_sk
UNION ALL
SELECT 'web' AS channel,
'ws_ship_hdemo_sk' col_name,
d_year,
d_qoy,
i_category,
ws_ext_sales_price ext_sales_price
FROM web_sales,
item,
date_dim
WHERE ws_ship_hdemo_sk IS NULL
AND ws_sold_date_sk = d_date_sk
AND ws_item_sk = i_item_sk
UNION ALL
SELECT 'catalog' AS channel,
'cs_warehouse_sk' col_name,
d_year,
d_qoy,
i_category,
cs_ext_sales_price ext_sales_price
FROM catalog_sales,
item,
date_dim
WHERE cs_warehouse_sk IS NULL
AND cs_sold_date_sk = d_date_sk
AND cs_item_sk = i_item_sk) foo
GROUP BY channel,
col_name,
d_year,
d_qoy,
i_category
ORDER BY channel,
col_name,
d_year,
d_qoy,
i_category
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_qoy" AS "d_qoy"
FROM "date_dim" AS "date_dim"
), "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_category" AS "i_category"
FROM "item" AS "item"
), "foo" AS (
SELECT
'store' AS "channel",
'ss_hdemo_sk' AS "col_name",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_qoy" AS "d_qoy",
"item"."i_category" AS "i_category",
"store_sales"."ss_ext_sales_price" AS "ext_sales_price"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
WHERE
"store_sales"."ss_hdemo_sk" IS NULL
UNION ALL
SELECT
'web' AS "channel",
'ws_ship_hdemo_sk' AS "col_name",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_qoy" AS "d_qoy",
"item"."i_category" AS "i_category",
"web_sales"."ws_ext_sales_price" AS "ext_sales_price"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
WHERE
"web_sales"."ws_ship_hdemo_sk" IS NULL
UNION ALL
SELECT
'catalog' AS "channel",
'cs_warehouse_sk' AS "col_name",
"date_dim"."d_year" AS "d_year",
"date_dim"."d_qoy" AS "d_qoy",
"item"."i_category" AS "i_category",
"catalog_sales"."cs_ext_sales_price" AS "ext_sales_price"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "item_2" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
WHERE
"catalog_sales"."cs_warehouse_sk" IS NULL
)
SELECT
"foo"."channel" AS "channel",
"foo"."col_name" AS "col_name",
"foo"."d_year" AS "d_year",
"foo"."d_qoy" AS "d_qoy",
"foo"."i_category" AS "i_category",
COUNT(*) AS "sales_cnt",
SUM("foo"."ext_sales_price") AS "sales_amt"
FROM "foo" AS "foo"
GROUP BY
"foo"."channel",
"foo"."col_name",
"foo"."d_year",
"foo"."d_qoy",
"foo"."i_category"
ORDER BY
"channel",
"col_name",
"d_year",
"d_qoy",
"i_category"
LIMIT 100;
--------------------------------------
-- TPC-DS 77
--------------------------------------
WITH ss AS
(
SELECT s_store_sk,
Sum(ss_ext_sales_price) AS sales,
Sum(ss_net_profit) AS profit
FROM store_sales,
date_dim,
store
WHERE ss_sold_date_sk = d_date_sk
AND d_date BETWEEN Cast('2001-08-16' AS DATE) AND (
Cast('2001-08-16' AS DATE) + INTERVAL '30' day)
AND ss_store_sk = s_store_sk
GROUP BY s_store_sk) , sr AS
(
SELECT s_store_sk,
sum(sr_return_amt) AS returns1,
sum(sr_net_loss) AS profit_loss
FROM store_returns,
date_dim,
store
WHERE sr_returned_date_sk = d_date_sk
AND d_date BETWEEN cast('2001-08-16' AS date) AND (
cast('2001-08-16' AS date) + INTERVAL '30' day)
AND sr_store_sk = s_store_sk
GROUP BY s_store_sk), cs AS
(
SELECT cs_call_center_sk,
sum(cs_ext_sales_price) AS sales,
sum(cs_net_profit) AS profit
FROM catalog_sales,
date_dim
WHERE cs_sold_date_sk = d_date_sk
AND d_date BETWEEN cast('2001-08-16' AS date) AND (
cast('2001-08-16' AS date) + INTERVAL '30' day)
GROUP BY cs_call_center_sk ), cr AS
(
SELECT cr_call_center_sk,
sum(cr_return_amount) AS returns1,
sum(cr_net_loss) AS profit_loss
FROM catalog_returns,
date_dim
WHERE cr_returned_date_sk = d_date_sk
AND d_date BETWEEN cast('2001-08-16' AS date) AND (
cast('2001-08-16' AS date) + INTERVAL '30' day)
GROUP BY cr_call_center_sk ), ws AS
(
SELECT wp_web_page_sk,
sum(ws_ext_sales_price) AS sales,
sum(ws_net_profit) AS profit
FROM web_sales,
date_dim,
web_page
WHERE ws_sold_date_sk = d_date_sk
AND d_date BETWEEN cast('2001-08-16' AS date) AND (
cast('2001-08-16' AS date) + INTERVAL '30' day)
AND ws_web_page_sk = wp_web_page_sk
GROUP BY wp_web_page_sk), wr AS
(
SELECT wp_web_page_sk,
sum(wr_return_amt) AS returns1,
sum(wr_net_loss) AS profit_loss
FROM web_returns,
date_dim,
web_page
WHERE wr_returned_date_sk = d_date_sk
AND d_date BETWEEN cast('2001-08-16' AS date) AND (
cast('2001-08-16' AS date) + INTERVAL '30' day)
AND wr_web_page_sk = wp_web_page_sk
GROUP BY wp_web_page_sk)
SELECT
channel ,
id ,
sum(sales) AS sales ,
sum(returns1) AS returns1 ,
sum(profit) AS profit
FROM (
SELECT 'store channel' AS channel ,
ss.s_store_sk AS id ,
sales ,
COALESCE(returns1, 0) AS returns1 ,
(profit - COALESCE(profit_loss,0)) AS profit
FROM ss
LEFT JOIN sr
ON ss.s_store_sk = sr.s_store_sk
UNION ALL
SELECT 'catalog channel' AS channel ,
cs_call_center_sk AS id ,
sales ,
returns1 ,
(profit - profit_loss) AS profit
FROM cs ,
cr
UNION ALL
SELECT 'web channel' AS channel ,
ws.wp_web_page_sk AS id ,
sales ,
COALESCE(returns1, 0) returns1 ,
(profit - COALESCE(profit_loss,0)) AS profit
FROM ws
LEFT JOIN wr
ON ws.wp_web_page_sk = wr.wp_web_page_sk ) x
GROUP BY rollup (channel, id)
ORDER BY channel ,
id
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
WHERE
CAST("date_dim"."d_date" AS DATE) <= CAST('2001-09-15' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('2001-08-16' AS DATE)
), "store_2" AS (
SELECT
"store"."s_store_sk" AS "s_store_sk"
FROM "store" AS "store"
), "ss" AS (
SELECT
"store"."s_store_sk" AS "s_store_sk",
SUM("store_sales"."ss_ext_sales_price") AS "sales",
SUM("store_sales"."ss_net_profit") AS "profit"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
"store"."s_store_sk"
), "sr" AS (
SELECT
"store"."s_store_sk" AS "s_store_sk",
SUM("store_returns"."sr_return_amt") AS "returns1",
SUM("store_returns"."sr_net_loss") AS "profit_loss"
FROM "store_returns" AS "store_returns"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_returns"."sr_returned_date_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_returns"."sr_store_sk"
GROUP BY
"store"."s_store_sk"
), "cs" AS (
SELECT
"catalog_sales"."cs_call_center_sk" AS "cs_call_center_sk",
SUM("catalog_sales"."cs_ext_sales_price") AS "sales",
SUM("catalog_sales"."cs_net_profit") AS "profit"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
GROUP BY
"catalog_sales"."cs_call_center_sk"
), "cr" AS (
SELECT
SUM("catalog_returns"."cr_return_amount") AS "returns1",
SUM("catalog_returns"."cr_net_loss") AS "profit_loss"
FROM "catalog_returns" AS "catalog_returns"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk"
GROUP BY
"catalog_returns"."cr_call_center_sk"
), "web_page_2" AS (
SELECT
"web_page"."wp_web_page_sk" AS "wp_web_page_sk"
FROM "web_page" AS "web_page"
), "ws" AS (
SELECT
"web_page"."wp_web_page_sk" AS "wp_web_page_sk",
SUM("web_sales"."ws_ext_sales_price") AS "sales",
SUM("web_sales"."ws_net_profit") AS "profit"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "web_page_2" AS "web_page"
ON "web_page"."wp_web_page_sk" = "web_sales"."ws_web_page_sk"
GROUP BY
"web_page"."wp_web_page_sk"
), "wr" AS (
SELECT
"web_page"."wp_web_page_sk" AS "wp_web_page_sk",
SUM("web_returns"."wr_return_amt") AS "returns1",
SUM("web_returns"."wr_net_loss") AS "profit_loss"
FROM "web_returns" AS "web_returns"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_returns"."wr_returned_date_sk"
JOIN "web_page_2" AS "web_page"
ON "web_page"."wp_web_page_sk" = "web_returns"."wr_web_page_sk"
GROUP BY
"web_page"."wp_web_page_sk"
), "x" AS (
SELECT
'store channel' AS "channel",
"ss"."s_store_sk" AS "id",
"ss"."sales" AS "sales",
COALESCE("sr"."returns1", 0) AS "returns1",
"ss"."profit" - COALESCE("sr"."profit_loss", 0) AS "profit"
FROM "ss" AS "ss"
LEFT JOIN "sr" AS "sr"
ON "sr"."s_store_sk" = "ss"."s_store_sk"
UNION ALL
SELECT
'catalog channel' AS "channel",
"cs"."cs_call_center_sk" AS "id",
"cs"."sales" AS "sales",
"cr"."returns1" AS "returns1",
"cs"."profit" - "cr"."profit_loss" AS "profit"
FROM "cs" AS "cs"
CROSS JOIN "cr" AS "cr"
UNION ALL
SELECT
'web channel' AS "channel",
"ws"."wp_web_page_sk" AS "id",
"ws"."sales" AS "sales",
COALESCE("wr"."returns1", 0) AS "returns1",
"ws"."profit" - COALESCE("wr"."profit_loss", 0) AS "profit"
FROM "ws" AS "ws"
LEFT JOIN "wr" AS "wr"
ON "wr"."wp_web_page_sk" = "ws"."wp_web_page_sk"
)
SELECT
"x"."channel" AS "channel",
"x"."id" AS "id",
SUM("x"."sales") AS "sales",
SUM("x"."returns1") AS "returns1",
SUM("x"."profit") AS "profit"
FROM "x" AS "x"
GROUP BY
ROLLUP (
"x"."channel",
"x"."id"
)
ORDER BY
"channel",
"id"
LIMIT 100;
--------------------------------------
-- TPC-DS 78
--------------------------------------
# execute: true
WITH ws
AS (SELECT d_year AS ws_sold_year,
ws_item_sk,
ws_bill_customer_sk ws_customer_sk,
Sum(ws_quantity) ws_qty,
Sum(ws_wholesale_cost) ws_wc,
Sum(ws_sales_price) ws_sp
FROM web_sales
LEFT JOIN web_returns
ON wr_order_number = ws_order_number
AND ws_item_sk = wr_item_sk
JOIN date_dim
ON ws_sold_date_sk = d_date_sk
WHERE wr_order_number IS NULL
GROUP BY d_year,
ws_item_sk,
ws_bill_customer_sk),
cs
AS (SELECT d_year AS cs_sold_year,
cs_item_sk,
cs_bill_customer_sk cs_customer_sk,
Sum(cs_quantity) cs_qty,
Sum(cs_wholesale_cost) cs_wc,
Sum(cs_sales_price) cs_sp
FROM catalog_sales
LEFT JOIN catalog_returns
ON cr_order_number = cs_order_number
AND cs_item_sk = cr_item_sk
JOIN date_dim
ON cs_sold_date_sk = d_date_sk
WHERE cr_order_number IS NULL
GROUP BY d_year,
cs_item_sk,
cs_bill_customer_sk),
ss
AS (SELECT d_year AS ss_sold_year,
ss_item_sk,
ss_customer_sk,
Sum(ss_quantity) ss_qty,
Sum(ss_wholesale_cost) ss_wc,
Sum(ss_sales_price) ss_sp
FROM store_sales
LEFT JOIN store_returns
ON sr_ticket_number = ss_ticket_number
AND ss_item_sk = sr_item_sk
JOIN date_dim
ON ss_sold_date_sk = d_date_sk
WHERE sr_ticket_number IS NULL
GROUP BY d_year,
ss_item_sk,
ss_customer_sk)
SELECT ss_item_sk,
Round(ss_qty / ( COALESCE(ws_qty + cs_qty, 1) ), 2) ratio,
ss_qty store_qty,
ss_wc
store_wholesale_cost,
ss_sp
store_sales_price,
COALESCE(ws_qty, 0) + COALESCE(cs_qty, 0)
other_chan_qty,
COALESCE(ws_wc, 0) + COALESCE(cs_wc, 0)
other_chan_wholesale_cost,
COALESCE(ws_sp, 0) + COALESCE(cs_sp, 0)
other_chan_sales_price
FROM ss
LEFT JOIN ws
ON ( ws_sold_year = ss_sold_year
AND ws_item_sk = ss_item_sk
AND ws_customer_sk = ss_customer_sk )
LEFT JOIN cs
ON ( cs_sold_year = ss_sold_year
AND cs_item_sk = cs_item_sk
AND cs_customer_sk = ss_customer_sk )
WHERE COALESCE(ws_qty, 0) > 0
AND COALESCE(cs_qty, 0) > 0
AND ss_sold_year = 1999
ORDER BY ss_item_sk,
ss_qty DESC,
ss_wc DESC,
ss_sp DESC,
other_chan_qty,
other_chan_wholesale_cost,
other_chan_sales_price,
Round(ss_qty / ( COALESCE(ws_qty + cs_qty, 1) ), 2)
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_year" AS "d_year"
FROM "date_dim" AS "date_dim"
), "ws" AS (
SELECT
"date_dim"."d_year" AS "ws_sold_year",
"web_sales"."ws_item_sk" AS "ws_item_sk",
"web_sales"."ws_bill_customer_sk" AS "ws_customer_sk",
SUM("web_sales"."ws_quantity") AS "ws_qty",
SUM("web_sales"."ws_wholesale_cost") AS "ws_wc",
SUM("web_sales"."ws_sales_price") AS "ws_sp"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
LEFT JOIN "web_returns" AS "web_returns"
ON "web_returns"."wr_item_sk" = "web_sales"."ws_item_sk"
AND "web_returns"."wr_order_number" = "web_sales"."ws_order_number"
WHERE
"web_returns"."wr_order_number" IS NULL
GROUP BY
"date_dim"."d_year",
"web_sales"."ws_item_sk",
"web_sales"."ws_bill_customer_sk"
), "cs" AS (
SELECT
"date_dim"."d_year" AS "cs_sold_year",
"catalog_sales"."cs_item_sk" AS "cs_item_sk",
"catalog_sales"."cs_bill_customer_sk" AS "cs_customer_sk",
SUM("catalog_sales"."cs_quantity") AS "cs_qty",
SUM("catalog_sales"."cs_wholesale_cost") AS "cs_wc",
SUM("catalog_sales"."cs_sales_price") AS "cs_sp"
FROM "catalog_sales" AS "catalog_sales"
LEFT JOIN "catalog_returns" AS "catalog_returns"
ON "catalog_returns"."cr_item_sk" = "catalog_sales"."cs_item_sk"
AND "catalog_returns"."cr_order_number" = "catalog_sales"."cs_order_number"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
WHERE
"catalog_returns"."cr_order_number" IS NULL
GROUP BY
"date_dim"."d_year",
"catalog_sales"."cs_item_sk",
"catalog_sales"."cs_bill_customer_sk"
), "ss" AS (
SELECT
"date_dim"."d_year" AS "ss_sold_year",
"store_sales"."ss_item_sk" AS "ss_item_sk",
"store_sales"."ss_customer_sk" AS "ss_customer_sk",
SUM("store_sales"."ss_quantity") AS "ss_qty",
SUM("store_sales"."ss_wholesale_cost") AS "ss_wc",
SUM("store_sales"."ss_sales_price") AS "ss_sp"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
LEFT JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
WHERE
"store_returns"."sr_ticket_number" IS NULL
GROUP BY
"date_dim"."d_year",
"store_sales"."ss_item_sk",
"store_sales"."ss_customer_sk"
)
SELECT
"ss"."ss_item_sk" AS "ss_item_sk",
ROUND("ss"."ss_qty" / COALESCE("ws"."ws_qty" + "cs"."cs_qty", 1), 2) AS "ratio",
"ss"."ss_qty" AS "store_qty",
"ss"."ss_wc" AS "store_wholesale_cost",
"ss"."ss_sp" AS "store_sales_price",
COALESCE("ws"."ws_qty", 0) + COALESCE("cs"."cs_qty", 0) AS "other_chan_qty",
COALESCE("ws"."ws_wc", 0) + COALESCE("cs"."cs_wc", 0) AS "other_chan_wholesale_cost",
COALESCE("ws"."ws_sp", 0) + COALESCE("cs"."cs_sp", 0) AS "other_chan_sales_price"
FROM "ss" AS "ss"
LEFT JOIN "cs" AS "cs"
ON "cs"."cs_customer_sk" = "ss"."ss_customer_sk"
AND "cs"."cs_item_sk" = "cs"."cs_item_sk"
AND "cs"."cs_sold_year" = "ss"."ss_sold_year"
LEFT JOIN "ws" AS "ws"
ON "ss"."ss_customer_sk" = "ws"."ws_customer_sk"
AND "ss"."ss_item_sk" = "ws"."ws_item_sk"
AND "ss"."ss_sold_year" = "ws"."ws_sold_year"
WHERE
"cs"."cs_qty" > 0
AND "ss"."ss_sold_year" = 1999
AND "ws"."ws_qty" > 0
AND NOT "cs"."cs_qty" IS NULL
AND NOT "ws"."ws_qty" IS NULL
ORDER BY
"ss_item_sk",
"ss"."ss_qty" DESC,
"ss"."ss_wc" DESC,
"ss"."ss_sp" DESC,
"other_chan_qty",
"other_chan_wholesale_cost",
"other_chan_sales_price",
ROUND("ss"."ss_qty" / COALESCE("ws"."ws_qty" + "cs"."cs_qty", 1), 2)
LIMIT 100;
--------------------------------------
-- TPC-DS 79
--------------------------------------
# execute: true
SELECT c_last_name,
c_first_name,
SUBSTRING(s_city, 1, 30) AS "_col_2",
ss_ticket_number,
amt,
profit
FROM (SELECT ss_ticket_number,
ss_customer_sk,
store.s_city,
Sum(ss_coupon_amt) amt,
Sum(ss_net_profit) profit
FROM store_sales,
date_dim,
store,
household_demographics
WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
AND store_sales.ss_store_sk = store.s_store_sk
AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
AND ( household_demographics.hd_dep_count = 8
OR household_demographics.hd_vehicle_count > 4 )
AND date_dim.d_dow = 1
AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 )
AND store.s_number_employees BETWEEN 200 AND 295
GROUP BY ss_ticket_number,
ss_customer_sk,
ss_addr_sk,
store.s_city) ms,
customer
WHERE ss_customer_sk = c_customer_sk
ORDER BY c_last_name,
c_first_name,
SUBSTRING(s_city, 1, 30),
profit
LIMIT 100;
WITH "ms" AS (
SELECT
"store_sales"."ss_ticket_number" AS "ss_ticket_number",
"store_sales"."ss_customer_sk" AS "ss_customer_sk",
"store"."s_city" AS "s_city",
SUM("store_sales"."ss_coupon_amt") AS "amt",
SUM("store_sales"."ss_net_profit") AS "profit"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_dow" = 1
AND "date_dim"."d_year" IN (2000, 2001, 2002)
JOIN "household_demographics" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
AND (
"household_demographics"."hd_dep_count" = 8
OR "household_demographics"."hd_vehicle_count" > 4
)
JOIN "store" AS "store"
ON "store"."s_number_employees" <= 295
AND "store"."s_number_employees" >= 200
AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
GROUP BY
"store_sales"."ss_ticket_number",
"store_sales"."ss_customer_sk",
"store_sales"."ss_addr_sk",
"store"."s_city"
)
SELECT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
SUBSTRING("ms"."s_city", 1, 30) AS "_col_2",
"ms"."ss_ticket_number" AS "ss_ticket_number",
"ms"."amt" AS "amt",
"ms"."profit" AS "profit"
FROM "ms" AS "ms"
JOIN "customer" AS "customer"
ON "customer"."c_customer_sk" = "ms"."ss_customer_sk"
ORDER BY
"c_last_name",
"c_first_name",
SUBSTRING("ms"."s_city", 1, 30),
"profit"
LIMIT 100;
--------------------------------------
-- TPC-DS 80
--------------------------------------
WITH ssr AS
(
SELECT s_store_id AS store_id,
Sum(ss_ext_sales_price) AS sales,
Sum(COALESCE(sr_return_amt, 0)) AS returns1,
Sum(ss_net_profit - COALESCE(sr_net_loss, 0)) AS profit
FROM store_sales
LEFT OUTER JOIN store_returns
ON (
ss_item_sk = sr_item_sk
AND ss_ticket_number = sr_ticket_number),
date_dim,
store,
item,
promotion
WHERE ss_sold_date_sk = d_date_sk
AND d_date BETWEEN Cast('2000-08-26' AS DATE) AND (
Cast('2000-08-26' AS DATE) + INTERVAL '30' day)
AND ss_store_sk = s_store_sk
AND ss_item_sk = i_item_sk
AND i_current_price > 50
AND ss_promo_sk = p_promo_sk
AND p_channel_tv = 'N'
GROUP BY s_store_id) , csr AS
(
SELECT cp_catalog_page_id AS catalog_page_id,
sum(cs_ext_sales_price) AS sales,
sum(COALESCE(cr_return_amount, 0)) AS returns1,
sum(cs_net_profit - COALESCE(cr_net_loss, 0)) AS profit
FROM catalog_sales
LEFT OUTER JOIN catalog_returns
ON (
cs_item_sk = cr_item_sk
AND cs_order_number = cr_order_number),
date_dim,
catalog_page,
item,
promotion
WHERE cs_sold_date_sk = d_date_sk
AND d_date BETWEEN cast('2000-08-26' AS date) AND (
cast('2000-08-26' AS date) + INTERVAL '30' day)
AND cs_catalog_page_sk = cp_catalog_page_sk
AND cs_item_sk = i_item_sk
AND i_current_price > 50
AND cs_promo_sk = p_promo_sk
AND p_channel_tv = 'N'
GROUP BY cp_catalog_page_id) , wsr AS
(
SELECT web_site_id,
sum(ws_ext_sales_price) AS sales,
sum(COALESCE(wr_return_amt, 0)) AS returns1,
sum(ws_net_profit - COALESCE(wr_net_loss, 0)) AS profit
FROM web_sales
LEFT OUTER JOIN web_returns
ON (
ws_item_sk = wr_item_sk
AND ws_order_number = wr_order_number),
date_dim,
web_site,
item,
promotion
WHERE ws_sold_date_sk = d_date_sk
AND d_date BETWEEN cast('2000-08-26' AS date) AND (
cast('2000-08-26' AS date) + INTERVAL '30' day)
AND ws_web_site_sk = web_site_sk
AND ws_item_sk = i_item_sk
AND i_current_price > 50
AND ws_promo_sk = p_promo_sk
AND p_channel_tv = 'N'
GROUP BY web_site_id)
SELECT
channel ,
id ,
sum(sales) AS sales ,
sum(returns1) AS returns1 ,
sum(profit) AS profit
FROM (
SELECT 'store channel' AS channel ,
'store'
|| store_id AS id ,
sales ,
returns1 ,
profit
FROM ssr
UNION ALL
SELECT 'catalog channel' AS channel ,
'catalog_page'
|| catalog_page_id AS id ,
sales ,
returns1 ,
profit
FROM csr
UNION ALL
SELECT 'web channel' AS channel ,
'web_site'
|| web_site_id AS id ,
sales ,
returns1 ,
profit
FROM wsr ) x
GROUP BY rollup (channel, id)
ORDER BY channel ,
id
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
WHERE
CAST("date_dim"."d_date" AS DATE) <= CAST('2000-09-25' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('2000-08-26' AS DATE)
), "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_current_price" AS "i_current_price"
FROM "item" AS "item"
WHERE
"item"."i_current_price" > 50
), "promotion_2" AS (
SELECT
"promotion"."p_promo_sk" AS "p_promo_sk",
"promotion"."p_channel_tv" AS "p_channel_tv"
FROM "promotion" AS "promotion"
WHERE
"promotion"."p_channel_tv" = 'N'
), "ssr" AS (
SELECT
"store"."s_store_id" AS "store_id",
SUM("store_sales"."ss_ext_sales_price") AS "sales",
SUM(COALESCE("store_returns"."sr_return_amt", 0)) AS "returns1",
SUM("store_sales"."ss_net_profit" - COALESCE("store_returns"."sr_net_loss", 0)) AS "profit"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "promotion_2" AS "promotion"
ON "promotion"."p_promo_sk" = "store_sales"."ss_promo_sk"
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
LEFT JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
GROUP BY
"store"."s_store_id"
), "csr" AS (
SELECT
"catalog_page"."cp_catalog_page_id" AS "catalog_page_id",
SUM("catalog_sales"."cs_ext_sales_price") AS "sales",
SUM(COALESCE("catalog_returns"."cr_return_amount", 0)) AS "returns1",
SUM("catalog_sales"."cs_net_profit" - COALESCE("catalog_returns"."cr_net_loss", 0)) AS "profit"
FROM "catalog_sales" AS "catalog_sales"
JOIN "catalog_page" AS "catalog_page"
ON "catalog_page"."cp_catalog_page_sk" = "catalog_sales"."cs_catalog_page_sk"
LEFT JOIN "catalog_returns" AS "catalog_returns"
ON "catalog_returns"."cr_item_sk" = "catalog_sales"."cs_item_sk"
AND "catalog_returns"."cr_order_number" = "catalog_sales"."cs_order_number"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
JOIN "item_2" AS "item"
ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk"
JOIN "promotion_2" AS "promotion"
ON "catalog_sales"."cs_promo_sk" = "promotion"."p_promo_sk"
GROUP BY
"catalog_page"."cp_catalog_page_id"
), "wsr" AS (
SELECT
"web_site"."web_site_id" AS "web_site_id",
SUM("web_sales"."ws_ext_sales_price") AS "sales",
SUM(COALESCE("web_returns"."wr_return_amt", 0)) AS "returns1",
SUM("web_sales"."ws_net_profit" - COALESCE("web_returns"."wr_net_loss", 0)) AS "profit"
FROM "web_sales" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
JOIN "promotion_2" AS "promotion"
ON "promotion"."p_promo_sk" = "web_sales"."ws_promo_sk"
LEFT JOIN "web_returns" AS "web_returns"
ON "web_returns"."wr_item_sk" = "web_sales"."ws_item_sk"
AND "web_returns"."wr_order_number" = "web_sales"."ws_order_number"
JOIN "web_site" AS "web_site"
ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk"
GROUP BY
"web_site"."web_site_id"
), "x" AS (
SELECT
'store channel' AS "channel",
'store' || "ssr"."store_id" AS "id",
"ssr"."sales" AS "sales",
"ssr"."returns1" AS "returns1",
"ssr"."profit" AS "profit"
FROM "ssr" AS "ssr"
UNION ALL
SELECT
'catalog channel' AS "channel",
'catalog_page' || "csr"."catalog_page_id" AS "id",
"csr"."sales" AS "sales",
"csr"."returns1" AS "returns1",
"csr"."profit" AS "profit"
FROM "csr" AS "csr"
UNION ALL
SELECT
'web channel' AS "channel",
'web_site' || "wsr"."web_site_id" AS "id",
"wsr"."sales" AS "sales",
"wsr"."returns1" AS "returns1",
"wsr"."profit" AS "profit"
FROM "wsr" AS "wsr"
)
SELECT
"x"."channel" AS "channel",
"x"."id" AS "id",
SUM("x"."sales") AS "sales",
SUM("x"."returns1") AS "returns1",
SUM("x"."profit") AS "profit"
FROM "x" AS "x"
GROUP BY
ROLLUP (
"x"."channel",
"x"."id"
)
ORDER BY
"channel",
"id"
LIMIT 100;
--------------------------------------
-- TPC-DS 81
--------------------------------------
# execute: true
WITH customer_total_return
AS (SELECT cr_returning_customer_sk AS ctr_customer_sk,
ca_state AS ctr_state,
Sum(cr_return_amt_inc_tax) AS ctr_total_return
FROM catalog_returns,
date_dim,
customer_address
WHERE cr_returned_date_sk = d_date_sk
AND d_year = 1999
AND cr_returning_addr_sk = ca_address_sk
GROUP BY cr_returning_customer_sk,
ca_state)
SELECT c_customer_id,
c_salutation,
c_first_name,
c_last_name,
ca_street_number,
ca_street_name,
ca_street_type,
ca_suite_number,
ca_city,
ca_county,
ca_state,
ca_zip,
ca_country,
ca_gmt_offset,
ca_location_type,
ctr_total_return
FROM customer_total_return ctr1,
customer_address,
customer
WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2
FROM customer_total_return ctr2
WHERE ctr1.ctr_state = ctr2.ctr_state)
AND ca_address_sk = c_current_addr_sk
AND ca_state = 'TX'
AND ctr1.ctr_customer_sk = c_customer_sk
ORDER BY c_customer_id,
c_salutation,
c_first_name,
c_last_name,
ca_street_number,
ca_street_name,
ca_street_type,
ca_suite_number,
ca_city,
ca_county,
ca_state,
ca_zip,
ca_country,
ca_gmt_offset,
ca_location_type,
ctr_total_return
LIMIT 100;
WITH "customer_total_return" AS (
SELECT
"catalog_returns"."cr_returning_customer_sk" AS "ctr_customer_sk",
"customer_address"."ca_state" AS "ctr_state",
SUM("catalog_returns"."cr_return_amt_inc_tax") AS "ctr_total_return"
FROM "catalog_returns" AS "catalog_returns"
JOIN "customer_address" AS "customer_address"
ON "catalog_returns"."cr_returning_addr_sk" = "customer_address"."ca_address_sk"
JOIN "date_dim" AS "date_dim"
ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_year" = 1999
GROUP BY
"catalog_returns"."cr_returning_customer_sk",
"customer_address"."ca_state"
), "_u_0" AS (
SELECT
AVG("ctr2"."ctr_total_return") * 1.2 AS "_col_0",
"ctr2"."ctr_state" AS "_u_1"
FROM "customer_total_return" AS "ctr2"
GROUP BY
"ctr2"."ctr_state"
)
SELECT
"customer"."c_customer_id" AS "c_customer_id",
"customer"."c_salutation" AS "c_salutation",
"customer"."c_first_name" AS "c_first_name",
"customer"."c_last_name" AS "c_last_name",
"customer_address"."ca_street_number" AS "ca_street_number",
"customer_address"."ca_street_name" AS "ca_street_name",
"customer_address"."ca_street_type" AS "ca_street_type",
"customer_address"."ca_suite_number" AS "ca_suite_number",
"customer_address"."ca_city" AS "ca_city",
"customer_address"."ca_county" AS "ca_county",
"customer_address"."ca_state" AS "ca_state",
"customer_address"."ca_zip" AS "ca_zip",
"customer_address"."ca_country" AS "ca_country",
"customer_address"."ca_gmt_offset" AS "ca_gmt_offset",
"customer_address"."ca_location_type" AS "ca_location_type",
"ctr1"."ctr_total_return" AS "ctr_total_return"
FROM "customer_total_return" AS "ctr1"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "ctr1"."ctr_state"
JOIN "customer" AS "customer"
ON "ctr1"."ctr_customer_sk" = "customer"."c_customer_sk"
JOIN "customer_address" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
AND "customer_address"."ca_state" = 'TX'
WHERE
"_u_0"."_col_0" < "ctr1"."ctr_total_return"
ORDER BY
"c_customer_id",
"c_salutation",
"c_first_name",
"c_last_name",
"ca_street_number",
"ca_street_name",
"ca_street_type",
"ca_suite_number",
"ca_city",
"ca_county",
"ca_state",
"ca_zip",
"ca_country",
"ca_gmt_offset",
"ca_location_type",
"ctr_total_return"
LIMIT 100;
--------------------------------------
-- TPC-DS 82
--------------------------------------
SELECT
i_item_id ,
i_item_desc ,
i_current_price
FROM item,
inventory,
date_dim,
store_sales
WHERE i_current_price BETWEEN 63 AND 63+30
AND inv_item_sk = i_item_sk
AND d_date_sk=inv_date_sk
AND d_date BETWEEN Cast('1998-04-27' AS DATE) AND (
Cast('1998-04-27' AS DATE) + INTERVAL '60' day)
AND i_manufact_id IN (57,293,427,320)
AND inv_quantity_on_hand BETWEEN 100 AND 500
AND ss_item_sk = i_item_sk
GROUP BY i_item_id,
i_item_desc,
i_current_price
ORDER BY i_item_id
LIMIT 100;
SELECT
"item"."i_item_id" AS "i_item_id",
"item"."i_item_desc" AS "i_item_desc",
"item"."i_current_price" AS "i_current_price"
FROM "item" AS "item"
JOIN "inventory" AS "inventory"
ON "inventory"."inv_item_sk" = "item"."i_item_sk"
AND "inventory"."inv_quantity_on_hand" <= 500
AND "inventory"."inv_quantity_on_hand" >= 100
JOIN "store_sales" AS "store_sales"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "inventory"."inv_date_sk"
AND CAST("date_dim"."d_date" AS DATE) <= CAST('1998-06-26' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('1998-04-27' AS DATE)
WHERE
"item"."i_current_price" <= 93
AND "item"."i_current_price" >= 63
AND "item"."i_manufact_id" IN (57, 293, 427, 320)
GROUP BY
"item"."i_item_id",
"item"."i_item_desc",
"item"."i_current_price"
ORDER BY
"i_item_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 83
--------------------------------------
# execute: true
WITH sr_items
AS (SELECT i_item_id item_id,
Sum(sr_return_quantity) sr_item_qty
FROM store_returns,
item,
date_dim
WHERE sr_item_sk = i_item_sk
AND d_date IN (SELECT d_date
FROM date_dim
WHERE d_week_seq IN (SELECT d_week_seq
FROM date_dim
WHERE
d_date IN ( '1999-06-30',
'1999-08-28',
'1999-11-18'
)))
AND sr_returned_date_sk = d_date_sk
GROUP BY i_item_id),
cr_items
AS (SELECT i_item_id item_id,
Sum(cr_return_quantity) cr_item_qty
FROM catalog_returns,
item,
date_dim
WHERE cr_item_sk = i_item_sk
AND d_date IN (SELECT d_date
FROM date_dim
WHERE d_week_seq IN (SELECT d_week_seq
FROM date_dim
WHERE
d_date IN ( '1999-06-30',
'1999-08-28',
'1999-11-18'
)))
AND cr_returned_date_sk = d_date_sk
GROUP BY i_item_id),
wr_items
AS (SELECT i_item_id item_id,
Sum(wr_return_quantity) wr_item_qty
FROM web_returns,
item,
date_dim
WHERE wr_item_sk = i_item_sk
AND d_date IN (SELECT d_date
FROM date_dim
WHERE d_week_seq IN (SELECT d_week_seq
FROM date_dim
WHERE
d_date IN ( '1999-06-30',
'1999-08-28',
'1999-11-18'
)))
AND wr_returned_date_sk = d_date_sk
GROUP BY i_item_id)
SELECT sr_items.item_id,
sr_item_qty,
sr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 *
100 sr_dev,
cr_item_qty,
cr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 *
100 cr_dev,
wr_item_qty,
wr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 *
100 wr_dev,
( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0
average
FROM sr_items,
cr_items,
wr_items
WHERE sr_items.item_id = cr_items.item_id
AND sr_items.item_id = wr_items.item_id
ORDER BY sr_items.item_id,
sr_item_qty
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
), "item_2" AS (
SELECT
"item"."i_item_sk" AS "i_item_sk",
"item"."i_item_id" AS "i_item_id"
FROM "item" AS "item"
), "_u_0" AS (
SELECT
"date_dim"."d_week_seq" AS "d_week_seq"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_date" IN ('1999-06-30', '1999-08-28', '1999-11-18')
GROUP BY
"date_dim"."d_week_seq"
), "_u_1" AS (
SELECT
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."d_week_seq" = "date_dim"."d_week_seq"
WHERE
NOT "_u_0"."d_week_seq" IS NULL
GROUP BY
"date_dim"."d_date"
), "sr_items" AS (
SELECT
"item"."i_item_id" AS "item_id",
SUM("store_returns"."sr_return_quantity") AS "sr_item_qty"
FROM "store_returns" AS "store_returns"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_returns"."sr_returned_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "store_returns"."sr_item_sk"
LEFT JOIN "_u_1" AS "_u_1"
ON "_u_1"."d_date" = "date_dim"."d_date"
WHERE
NOT "_u_1"."d_date" IS NULL
GROUP BY
"item"."i_item_id"
), "_u_3" AS (
SELECT
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
LEFT JOIN "_u_0" AS "_u_2"
ON "_u_2"."d_week_seq" = "date_dim"."d_week_seq"
WHERE
NOT "_u_2"."d_week_seq" IS NULL
GROUP BY
"date_dim"."d_date"
), "cr_items" AS (
SELECT
"item"."i_item_id" AS "item_id",
SUM("catalog_returns"."cr_return_quantity") AS "cr_item_qty"
FROM "catalog_returns" AS "catalog_returns"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk"
JOIN "item_2" AS "item"
ON "catalog_returns"."cr_item_sk" = "item"."i_item_sk"
LEFT JOIN "_u_3" AS "_u_3"
ON "_u_3"."d_date" = "date_dim"."d_date"
WHERE
NOT "_u_3"."d_date" IS NULL
GROUP BY
"item"."i_item_id"
), "_u_5" AS (
SELECT
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
LEFT JOIN "_u_0" AS "_u_4"
ON "_u_4"."d_week_seq" = "date_dim"."d_week_seq"
WHERE
NOT "_u_4"."d_week_seq" IS NULL
GROUP BY
"date_dim"."d_date"
), "wr_items" AS (
SELECT
"item"."i_item_id" AS "item_id",
SUM("web_returns"."wr_return_quantity") AS "wr_item_qty"
FROM "web_returns" AS "web_returns"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_returns"."wr_returned_date_sk"
JOIN "item_2" AS "item"
ON "item"."i_item_sk" = "web_returns"."wr_item_sk"
LEFT JOIN "_u_5" AS "_u_5"
ON "_u_5"."d_date" = "date_dim"."d_date"
WHERE
NOT "_u_5"."d_date" IS NULL
GROUP BY
"item"."i_item_id"
)
SELECT
"sr_items"."item_id" AS "item_id",
"sr_items"."sr_item_qty" AS "sr_item_qty",
"sr_items"."sr_item_qty" / (
"sr_items"."sr_item_qty" + "cr_items"."cr_item_qty" + "wr_items"."wr_item_qty"
) / 3.0 * 100 AS "sr_dev",
"cr_items"."cr_item_qty" AS "cr_item_qty",
"cr_items"."cr_item_qty" / (
"sr_items"."sr_item_qty" + "cr_items"."cr_item_qty" + "wr_items"."wr_item_qty"
) / 3.0 * 100 AS "cr_dev",
"wr_items"."wr_item_qty" AS "wr_item_qty",
"wr_items"."wr_item_qty" / (
"sr_items"."sr_item_qty" + "cr_items"."cr_item_qty" + "wr_items"."wr_item_qty"
) / 3.0 * 100 AS "wr_dev",
(
"sr_items"."sr_item_qty" + "cr_items"."cr_item_qty" + "wr_items"."wr_item_qty"
) / 3.0 AS "average"
FROM "sr_items" AS "sr_items"
JOIN "cr_items" AS "cr_items"
ON "cr_items"."item_id" = "sr_items"."item_id"
JOIN "wr_items" AS "wr_items"
ON "sr_items"."item_id" = "wr_items"."item_id"
ORDER BY
"sr_items"."item_id",
"sr_item_qty"
LIMIT 100;
--------------------------------------
-- TPC-DS 84
--------------------------------------
# execute: true
SELECT c_customer_id AS customer_id,
c_last_name
|| ', '
|| c_first_name AS customername
FROM customer,
customer_address,
customer_demographics,
household_demographics,
income_band,
store_returns
WHERE ca_city = 'Green Acres'
AND c_current_addr_sk = ca_address_sk
AND ib_lower_bound >= 54986
AND ib_upper_bound <= 54986 + 50000
AND ib_income_band_sk = hd_income_band_sk
AND cd_demo_sk = c_current_cdemo_sk
AND hd_demo_sk = c_current_hdemo_sk
AND sr_cdemo_sk = cd_demo_sk
ORDER BY c_customer_id
LIMIT 100;
SELECT
"customer"."c_customer_id" AS "customer_id",
"customer"."c_last_name" || ', ' || "customer"."c_first_name" AS "customername"
FROM "customer" AS "customer"
JOIN "customer_address" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
AND "customer_address"."ca_city" = 'Green Acres'
JOIN "customer_demographics" AS "customer_demographics"
ON "customer"."c_current_cdemo_sk" = "customer_demographics"."cd_demo_sk"
JOIN "household_demographics" AS "household_demographics"
ON "customer"."c_current_hdemo_sk" = "household_demographics"."hd_demo_sk"
JOIN "income_band" AS "income_band"
ON "household_demographics"."hd_income_band_sk" = "income_band"."ib_income_band_sk"
AND "income_band"."ib_lower_bound" >= 54986
AND "income_band"."ib_upper_bound" <= 104986
JOIN "store_returns" AS "store_returns"
ON "customer_demographics"."cd_demo_sk" = "store_returns"."sr_cdemo_sk"
ORDER BY
"customer"."c_customer_id"
LIMIT 100;
--------------------------------------
-- TPC-DS 85
--------------------------------------
# execute: true
SELECT SUBSTRING(r_reason_desc, 1, 20) AS "_col_0",
Avg(ws_quantity) AS "_col_1",
Avg(wr_refunded_cash) AS "_col_2",
Avg(wr_fee) AS "_col_3"
FROM web_sales,
web_returns,
web_page,
customer_demographics cd1,
customer_demographics cd2,
customer_address,
date_dim,
reason
WHERE ws_web_page_sk = wp_web_page_sk
AND ws_item_sk = wr_item_sk
AND ws_order_number = wr_order_number
AND ws_sold_date_sk = d_date_sk
AND d_year = 2001
AND cd1.cd_demo_sk = wr_refunded_cdemo_sk
AND cd2.cd_demo_sk = wr_returning_cdemo_sk
AND ca_address_sk = wr_refunded_addr_sk
AND r_reason_sk = wr_reason_sk
AND ( ( cd1.cd_marital_status = 'W'
AND cd1.cd_marital_status = cd2.cd_marital_status
AND cd1.cd_education_status = 'Primary'
AND cd1.cd_education_status = cd2.cd_education_status
AND ws_sales_price BETWEEN 100.00 AND 150.00 )
OR ( cd1.cd_marital_status = 'D'
AND cd1.cd_marital_status = cd2.cd_marital_status
AND cd1.cd_education_status = 'Secondary'
AND cd1.cd_education_status = cd2.cd_education_status
AND ws_sales_price BETWEEN 50.00 AND 100.00 )
OR ( cd1.cd_marital_status = 'M'
AND cd1.cd_marital_status = cd2.cd_marital_status
AND cd1.cd_education_status = 'Advanced Degree'
AND cd1.cd_education_status = cd2.cd_education_status
AND ws_sales_price BETWEEN 150.00 AND 200.00 ) )
AND ( ( ca_country = 'United States'
AND ca_state IN ( 'KY', 'ME', 'IL' )
AND ws_net_profit BETWEEN 100 AND 200 )
OR ( ca_country = 'United States'
AND ca_state IN ( 'OK', 'NE', 'MN' )
AND ws_net_profit BETWEEN 150 AND 300 )
OR ( ca_country = 'United States'
AND ca_state IN ( 'FL', 'WI', 'KS' )
AND ws_net_profit BETWEEN 50 AND 250 ) )
GROUP BY r_reason_desc
ORDER BY SUBSTRING(r_reason_desc, 1, 20),
Avg(ws_quantity),
Avg(wr_refunded_cash),
Avg(wr_fee)
LIMIT 100;
SELECT
SUBSTRING("reason"."r_reason_desc", 1, 20) AS "_col_0",
AVG("web_sales"."ws_quantity") AS "_col_1",
AVG("web_returns"."wr_refunded_cash") AS "_col_2",
AVG("web_returns"."wr_fee") AS "_col_3"
FROM "web_sales" AS "web_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
AND "date_dim"."d_year" = 2001
JOIN "web_page" AS "web_page"
ON "web_page"."wp_web_page_sk" = "web_sales"."ws_web_page_sk"
JOIN "web_returns" AS "web_returns"
ON "web_returns"."wr_item_sk" = "web_sales"."ws_item_sk"
AND "web_returns"."wr_order_number" = "web_sales"."ws_order_number"
JOIN "customer_demographics" AS "cd1"
ON "cd1"."cd_demo_sk" = "web_returns"."wr_refunded_cdemo_sk"
JOIN "customer_address" AS "customer_address"
ON "customer_address"."ca_address_sk" = "web_returns"."wr_refunded_addr_sk"
AND (
(
"customer_address"."ca_country" = 'United States'
AND "customer_address"."ca_state" IN ('FL', 'WI', 'KS')
AND "web_sales"."ws_net_profit" <= 250
AND "web_sales"."ws_net_profit" >= 50
)
OR (
"customer_address"."ca_country" = 'United States'
AND "customer_address"."ca_state" IN ('KY', 'ME', 'IL')
AND "web_sales"."ws_net_profit" <= 200
AND "web_sales"."ws_net_profit" >= 100
)
OR (
"customer_address"."ca_country" = 'United States'
AND "customer_address"."ca_state" IN ('OK', 'NE', 'MN')
AND "web_sales"."ws_net_profit" <= 300
AND "web_sales"."ws_net_profit" >= 150
)
)
JOIN "reason" AS "reason"
ON "reason"."r_reason_sk" = "web_returns"."wr_reason_sk"
JOIN "customer_demographics" AS "cd2"
ON "cd2"."cd_demo_sk" = "web_returns"."wr_returning_cdemo_sk"
AND (
(
"cd1"."cd_education_status" = "cd2"."cd_education_status"
AND "cd1"."cd_education_status" = 'Advanced Degree'
AND "cd1"."cd_marital_status" = "cd2"."cd_marital_status"
AND "cd1"."cd_marital_status" = 'M'
AND "web_sales"."ws_sales_price" <= 200.00
AND "web_sales"."ws_sales_price" >= 150.00
)
OR (
"cd1"."cd_education_status" = "cd2"."cd_education_status"
AND "cd1"."cd_education_status" = 'Primary'
AND "cd1"."cd_marital_status" = "cd2"."cd_marital_status"
AND "cd1"."cd_marital_status" = 'W'
AND "web_sales"."ws_sales_price" <= 150.00
AND "web_sales"."ws_sales_price" >= 100.00
)
OR (
"cd1"."cd_education_status" = "cd2"."cd_education_status"
AND "cd1"."cd_education_status" = 'Secondary'
AND "cd1"."cd_marital_status" = "cd2"."cd_marital_status"
AND "cd1"."cd_marital_status" = 'D'
AND "web_sales"."ws_sales_price" <= 100.00
AND "web_sales"."ws_sales_price" >= 50.00
)
)
GROUP BY
"reason"."r_reason_desc"
ORDER BY
"_col_0",
"_col_1",
"_col_2",
"_col_3"
LIMIT 100;
--------------------------------------
-- TPC-DS 86
--------------------------------------
SELECT Sum(ws_net_paid) AS total_sum,
i_category,
i_class,
Grouping(i_category) + Grouping(i_class) AS lochierarchy,
Rank()
OVER (
partition BY Grouping(i_category)+Grouping(i_class), CASE
WHEN Grouping(
i_class) = 0 THEN i_category END
ORDER BY Sum(ws_net_paid) DESC) AS rank_within_parent
FROM web_sales,
date_dim d1,
item
WHERE d1.d_month_seq BETWEEN 1183 AND 1183 + 11
AND d1.d_date_sk = ws_sold_date_sk
AND i_item_sk = ws_item_sk
GROUP BY rollup( i_category, i_class )
ORDER BY lochierarchy DESC,
CASE
WHEN lochierarchy = 0 THEN i_category
END,
rank_within_parent
LIMIT 100;
SELECT
SUM("web_sales"."ws_net_paid") AS "total_sum",
"item"."i_category" AS "i_category",
"item"."i_class" AS "i_class",
GROUPING("item"."i_category") + GROUPING("item"."i_class") AS "lochierarchy",
RANK() OVER (
PARTITION BY GROUPING("item"."i_category") + GROUPING("item"."i_class"), CASE WHEN GROUPING("item"."i_class") = 0 THEN "item"."i_category" END
ORDER BY SUM("web_sales"."ws_net_paid") DESC
) AS "rank_within_parent"
FROM "web_sales" AS "web_sales"
JOIN "date_dim" AS "d1"
ON "d1"."d_date_sk" = "web_sales"."ws_sold_date_sk"
AND "d1"."d_month_seq" <= 1194
AND "d1"."d_month_seq" >= 1183
JOIN "item" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk"
GROUP BY
ROLLUP (
"item"."i_category",
"item"."i_class"
)
ORDER BY
"lochierarchy" DESC,
CASE WHEN "lochierarchy" = 0 THEN "i_category" END,
"rank_within_parent"
LIMIT 100;
--------------------------------------
-- TPC-DS 87
--------------------------------------
# execute: true
select count(*) as "_col_0"
from ((select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_customer_sk = customer.c_customer_sk
and d_month_seq between 1188 and 1188+11)
except
(select distinct c_last_name, c_first_name, d_date
from catalog_sales, date_dim, customer
where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
and d_month_seq between 1188 and 1188+11)
except
(select distinct c_last_name, c_first_name, d_date
from web_sales, date_dim, customer
where web_sales.ws_sold_date_sk = date_dim.d_date_sk
and web_sales.ws_bill_customer_sk = customer.c_customer_sk
and d_month_seq between 1188 and 1188+11)
) cool_cust;
WITH "customer_2" AS (
SELECT
"customer"."c_customer_sk" AS "c_customer_sk",
"customer"."c_first_name" AS "c_first_name",
"customer"."c_last_name" AS "c_last_name"
FROM "customer" AS "customer"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date",
"date_dim"."d_month_seq" AS "d_month_seq"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_month_seq" <= 1199 AND "date_dim"."d_month_seq" >= 1188
), "cool_cust" AS (
(
SELECT DISTINCT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"date_dim"."d_date" AS "d_date"
FROM "store_sales" AS "store_sales"
JOIN "customer_2" AS "customer"
ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
)
EXCEPT
(
SELECT DISTINCT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"date_dim"."d_date" AS "d_date"
FROM "catalog_sales" AS "catalog_sales"
JOIN "customer_2" AS "customer"
ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
)
EXCEPT
(
SELECT DISTINCT
"customer"."c_last_name" AS "c_last_name",
"customer"."c_first_name" AS "c_first_name",
"date_dim"."d_date" AS "d_date"
FROM "web_sales" AS "web_sales"
JOIN "customer_2" AS "customer"
ON "customer"."c_customer_sk" = "web_sales"."ws_bill_customer_sk"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
)
)
SELECT
COUNT(*) AS "_col_0"
FROM "cool_cust" AS "cool_cust";
--------------------------------------
-- TPC-DS 88
--------------------------------------
# execute: true
select *
from
(select count(*) h8_30_to_9
from store_sales, household_demographics , time_dim, store
where ss_sold_time_sk = time_dim.t_time_sk
and ss_hdemo_sk = household_demographics.hd_demo_sk
and ss_store_sk = s_store_sk
and time_dim.t_hour = 8
and time_dim.t_minute >= 30
and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
and store.s_store_name = 'ese') s1,
(select count(*) h9_to_9_30
from store_sales, household_demographics , time_dim, store
where ss_sold_time_sk = time_dim.t_time_sk
and ss_hdemo_sk = household_demographics.hd_demo_sk
and ss_store_sk = s_store_sk
and time_dim.t_hour = 9
and time_dim.t_minute < 30
and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
and store.s_store_name = 'ese') s2,
(select count(*) h9_30_to_10
from store_sales, household_demographics , time_dim, store
where ss_sold_time_sk = time_dim.t_time_sk
and ss_hdemo_sk = household_demographics.hd_demo_sk
and ss_store_sk = s_store_sk
and time_dim.t_hour = 9
and time_dim.t_minute >= 30
and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
and store.s_store_name = 'ese') s3,
(select count(*) h10_to_10_30
from store_sales, household_demographics , time_dim, store
where ss_sold_time_sk = time_dim.t_time_sk
and ss_hdemo_sk = household_demographics.hd_demo_sk
and ss_store_sk = s_store_sk
and time_dim.t_hour = 10
and time_dim.t_minute < 30
and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
and store.s_store_name = 'ese') s4,
(select count(*) h10_30_to_11
from store_sales, household_demographics , time_dim, store
where ss_sold_time_sk = time_dim.t_time_sk
and ss_hdemo_sk = household_demographics.hd_demo_sk
and ss_store_sk = s_store_sk
and time_dim.t_hour = 10
and time_dim.t_minute >= 30
and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
and store.s_store_name = 'ese') s5,
(select count(*) h11_to_11_30
from store_sales, household_demographics , time_dim, store
where ss_sold_time_sk = time_dim.t_time_sk
and ss_hdemo_sk = household_demographics.hd_demo_sk
and ss_store_sk = s_store_sk
and time_dim.t_hour = 11
and time_dim.t_minute < 30
and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
and store.s_store_name = 'ese') s6,
(select count(*) h11_30_to_12
from store_sales, household_demographics , time_dim, store
where ss_sold_time_sk = time_dim.t_time_sk
and ss_hdemo_sk = household_demographics.hd_demo_sk
and ss_store_sk = s_store_sk
and time_dim.t_hour = 11
and time_dim.t_minute >= 30
and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
and store.s_store_name = 'ese') s7,
(select count(*) h12_to_12_30
from store_sales, household_demographics , time_dim, store
where ss_sold_time_sk = time_dim.t_time_sk
and ss_hdemo_sk = household_demographics.hd_demo_sk
and ss_store_sk = s_store_sk
and time_dim.t_hour = 12
and time_dim.t_minute < 30
and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
and store.s_store_name = 'ese') s8;
WITH "store_sales_2" AS (
SELECT
"store_sales"."ss_sold_time_sk" AS "ss_sold_time_sk",
"store_sales"."ss_hdemo_sk" AS "ss_hdemo_sk",
"store_sales"."ss_store_sk" AS "ss_store_sk"
FROM "store_sales" AS "store_sales"
), "household_demographics_2" AS (
SELECT
"household_demographics"."hd_demo_sk" AS "hd_demo_sk",
"household_demographics"."hd_dep_count" AS "hd_dep_count",
"household_demographics"."hd_vehicle_count" AS "hd_vehicle_count"
FROM "household_demographics" AS "household_demographics"
WHERE
(
"household_demographics"."hd_dep_count" = -1
OR "household_demographics"."hd_dep_count" = 2
OR "household_demographics"."hd_dep_count" = 3
)
AND (
"household_demographics"."hd_dep_count" = 2
OR "household_demographics"."hd_dep_count" = 3
OR "household_demographics"."hd_vehicle_count" <= 1
)
AND (
"household_demographics"."hd_dep_count" = 3
OR "household_demographics"."hd_vehicle_count" <= 4
)
AND "household_demographics"."hd_vehicle_count" <= 5
), "store_2" AS (
SELECT
"store"."s_store_sk" AS "s_store_sk",
"store"."s_store_name" AS "s_store_name"
FROM "store" AS "store"
WHERE
"store"."s_store_name" = 'ese'
), "s1" AS (
SELECT
COUNT(*) AS "h8_30_to_9"
FROM "store_sales_2" AS "store_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "time_dim" AS "time_dim"
ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk"
AND "time_dim"."t_hour" = 8
AND "time_dim"."t_minute" >= 30
), "s2" AS (
SELECT
COUNT(*) AS "h9_to_9_30"
FROM "store_sales_2" AS "store_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "time_dim" AS "time_dim"
ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk"
AND "time_dim"."t_hour" = 9
AND "time_dim"."t_minute" < 30
), "s3" AS (
SELECT
COUNT(*) AS "h9_30_to_10"
FROM "store_sales_2" AS "store_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "time_dim" AS "time_dim"
ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk"
AND "time_dim"."t_hour" = 9
AND "time_dim"."t_minute" >= 30
), "s4" AS (
SELECT
COUNT(*) AS "h10_to_10_30"
FROM "store_sales_2" AS "store_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "time_dim" AS "time_dim"
ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk"
AND "time_dim"."t_hour" = 10
AND "time_dim"."t_minute" < 30
), "s5" AS (
SELECT
COUNT(*) AS "h10_30_to_11"
FROM "store_sales_2" AS "store_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "time_dim" AS "time_dim"
ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk"
AND "time_dim"."t_hour" = 10
AND "time_dim"."t_minute" >= 30
), "s6" AS (
SELECT
COUNT(*) AS "h11_to_11_30"
FROM "store_sales_2" AS "store_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "time_dim" AS "time_dim"
ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk"
AND "time_dim"."t_hour" = 11
AND "time_dim"."t_minute" < 30
), "s7" AS (
SELECT
COUNT(*) AS "h11_30_to_12"
FROM "store_sales_2" AS "store_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "time_dim" AS "time_dim"
ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk"
AND "time_dim"."t_hour" = 11
AND "time_dim"."t_minute" >= 30
), "s8" AS (
SELECT
COUNT(*) AS "h12_to_12_30"
FROM "store_sales_2" AS "store_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
JOIN "store_2" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "time_dim" AS "time_dim"
ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk"
AND "time_dim"."t_hour" = 12
AND "time_dim"."t_minute" < 30
)
SELECT
"s1"."h8_30_to_9" AS "h8_30_to_9",
"s2"."h9_to_9_30" AS "h9_to_9_30",
"s3"."h9_30_to_10" AS "h9_30_to_10",
"s4"."h10_to_10_30" AS "h10_to_10_30",
"s5"."h10_30_to_11" AS "h10_30_to_11",
"s6"."h11_to_11_30" AS "h11_to_11_30",
"s7"."h11_30_to_12" AS "h11_30_to_12",
"s8"."h12_to_12_30" AS "h12_to_12_30"
FROM "s1" AS "s1"
CROSS JOIN "s2" AS "s2"
CROSS JOIN "s3" AS "s3"
CROSS JOIN "s4" AS "s4"
CROSS JOIN "s5" AS "s5"
CROSS JOIN "s6" AS "s6"
CROSS JOIN "s7" AS "s7"
CROSS JOIN "s8" AS "s8";
--------------------------------------
-- TPC-DS 89
--------------------------------------
SELECT *
FROM (SELECT i_category,
i_class,
i_brand,
s_store_name,
s_company_name,
d_moy,
Sum(ss_sales_price) sum_sales,
Avg(Sum(ss_sales_price))
OVER (
partition BY i_category, i_brand, s_store_name, s_company_name
)
avg_monthly_sales
FROM item,
store_sales,
date_dim,
store
WHERE ss_item_sk = i_item_sk
AND ss_sold_date_sk = d_date_sk
AND ss_store_sk = s_store_sk
AND d_year IN ( 2002 )
AND ( ( i_category IN ( 'Home', 'Men', 'Sports' )
AND i_class IN ( 'paint', 'accessories', 'fitness' ) )
OR ( i_category IN ( 'Shoes', 'Jewelry', 'Women' )
AND i_class IN ( 'mens', 'pendants', 'swimwear' ) ) )
GROUP BY i_category,
i_class,
i_brand,
s_store_name,
s_company_name,
d_moy) tmp1
WHERE CASE
WHEN ( avg_monthly_sales <> 0 ) THEN (
Abs(sum_sales - avg_monthly_sales) / avg_monthly_sales )
ELSE NULL
END > 0.1
ORDER BY sum_sales - avg_monthly_sales,
s_store_name
LIMIT 100;
WITH "tmp1" AS (
SELECT
"item"."i_category" AS "i_category",
"item"."i_class" AS "i_class",
"item"."i_brand" AS "i_brand",
"store"."s_store_name" AS "s_store_name",
"store"."s_company_name" AS "s_company_name",
"date_dim"."d_moy" AS "d_moy",
SUM("store_sales"."ss_sales_price") AS "sum_sales",
AVG(SUM("store_sales"."ss_sales_price")) OVER (
PARTITION BY "item"."i_category", "item"."i_brand", "store"."s_store_name", "store"."s_company_name"
) AS "avg_monthly_sales"
FROM "item" AS "item"
JOIN "store_sales" AS "store_sales"
ON "item"."i_item_sk" = "store_sales"."ss_item_sk"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND "date_dim"."d_year" IN (2002)
JOIN "store" AS "store"
ON "store"."s_store_sk" = "store_sales"."ss_store_sk"
WHERE
(
"item"."i_category" IN ('Home', 'Men', 'Sports')
OR "item"."i_category" IN ('Shoes', 'Jewelry', 'Women')
)
AND (
"item"."i_category" IN ('Home', 'Men', 'Sports')
OR "item"."i_class" IN ('mens', 'pendants', 'swimwear')
)
AND (
"item"."i_category" IN ('Shoes', 'Jewelry', 'Women')
OR "item"."i_class" IN ('paint', 'accessories', 'fitness')
)
AND (
"item"."i_class" IN ('mens', 'pendants', 'swimwear')
OR "item"."i_class" IN ('paint', 'accessories', 'fitness')
)
GROUP BY
"item"."i_category",
"item"."i_class",
"item"."i_brand",
"store"."s_store_name",
"store"."s_company_name",
"date_dim"."d_moy"
)
SELECT
"tmp1"."i_category" AS "i_category",
"tmp1"."i_class" AS "i_class",
"tmp1"."i_brand" AS "i_brand",
"tmp1"."s_store_name" AS "s_store_name",
"tmp1"."s_company_name" AS "s_company_name",
"tmp1"."d_moy" AS "d_moy",
"tmp1"."sum_sales" AS "sum_sales",
"tmp1"."avg_monthly_sales" AS "avg_monthly_sales"
FROM "tmp1" AS "tmp1"
WHERE
CASE
WHEN "tmp1"."avg_monthly_sales" <> 0
THEN (
ABS("tmp1"."sum_sales" - "tmp1"."avg_monthly_sales") / "tmp1"."avg_monthly_sales"
)
ELSE NULL
END > 0.1
ORDER BY
"tmp1"."sum_sales" - "tmp1"."avg_monthly_sales",
"tmp1"."s_store_name"
LIMIT 100;
--------------------------------------
-- TPC-DS 90
--------------------------------------
SELECT Cast(amc AS DECIMAL(15, 4)) / Cast(pmc AS DECIMAL(15, 4))
am_pm_ratio
FROM (SELECT Count(*) amc
FROM web_sales,
household_demographics,
time_dim,
web_page
WHERE ws_sold_time_sk = time_dim.t_time_sk
AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk
AND ws_web_page_sk = web_page.wp_web_page_sk
AND time_dim.t_hour BETWEEN 12 AND 12 + 1
AND household_demographics.hd_dep_count = 8
AND web_page.wp_char_count BETWEEN 5000 AND 5200) at1,
(SELECT Count(*) pmc
FROM web_sales,
household_demographics,
time_dim,
web_page
WHERE ws_sold_time_sk = time_dim.t_time_sk
AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk
AND ws_web_page_sk = web_page.wp_web_page_sk
AND time_dim.t_hour BETWEEN 20 AND 20 + 1
AND household_demographics.hd_dep_count = 8
AND web_page.wp_char_count BETWEEN 5000 AND 5200) pt
ORDER BY am_pm_ratio
LIMIT 100;
WITH "web_sales_2" AS (
SELECT
"web_sales"."ws_sold_time_sk" AS "ws_sold_time_sk",
"web_sales"."ws_ship_hdemo_sk" AS "ws_ship_hdemo_sk",
"web_sales"."ws_web_page_sk" AS "ws_web_page_sk"
FROM "web_sales" AS "web_sales"
), "household_demographics_2" AS (
SELECT
"household_demographics"."hd_demo_sk" AS "hd_demo_sk",
"household_demographics"."hd_dep_count" AS "hd_dep_count"
FROM "household_demographics" AS "household_demographics"
WHERE
"household_demographics"."hd_dep_count" = 8
), "web_page_2" AS (
SELECT
"web_page"."wp_web_page_sk" AS "wp_web_page_sk",
"web_page"."wp_char_count" AS "wp_char_count"
FROM "web_page" AS "web_page"
WHERE
"web_page"."wp_char_count" <= 5200 AND "web_page"."wp_char_count" >= 5000
), "at1" AS (
SELECT
COUNT(*) AS "amc"
FROM "web_sales_2" AS "web_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "web_sales"."ws_ship_hdemo_sk"
JOIN "time_dim" AS "time_dim"
ON "time_dim"."t_hour" <= 13
AND "time_dim"."t_hour" >= 12
AND "time_dim"."t_time_sk" = "web_sales"."ws_sold_time_sk"
JOIN "web_page_2" AS "web_page"
ON "web_page"."wp_web_page_sk" = "web_sales"."ws_web_page_sk"
), "pt" AS (
SELECT
COUNT(*) AS "pmc"
FROM "web_sales_2" AS "web_sales"
JOIN "household_demographics_2" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "web_sales"."ws_ship_hdemo_sk"
JOIN "time_dim" AS "time_dim"
ON "time_dim"."t_hour" <= 21
AND "time_dim"."t_hour" >= 20
AND "time_dim"."t_time_sk" = "web_sales"."ws_sold_time_sk"
JOIN "web_page_2" AS "web_page"
ON "web_page"."wp_web_page_sk" = "web_sales"."ws_web_page_sk"
)
SELECT
CAST("at1"."amc" AS DECIMAL(15, 4)) / CAST("pt"."pmc" AS DECIMAL(15, 4)) AS "am_pm_ratio"
FROM "at1" AS "at1"
CROSS JOIN "pt" AS "pt"
ORDER BY
"am_pm_ratio"
LIMIT 100;
--------------------------------------
-- TPC-DS 91
--------------------------------------
# execute: true
SELECT cc_call_center_id call_center,
cc_name call_center_name,
cc_manager manager,
Sum(cr_net_loss) returns_loss
FROM call_center,
catalog_returns,
date_dim,
customer,
customer_address,
customer_demographics,
household_demographics
WHERE cr_call_center_sk = cc_call_center_sk
AND cr_returned_date_sk = d_date_sk
AND cr_returning_customer_sk = c_customer_sk
AND cd_demo_sk = c_current_cdemo_sk
AND hd_demo_sk = c_current_hdemo_sk
AND ca_address_sk = c_current_addr_sk
AND d_year = 1999
AND d_moy = 12
AND ( ( cd_marital_status = 'M'
AND cd_education_status = 'Unknown' )
OR ( cd_marital_status = 'W'
AND cd_education_status = 'Advanced Degree' ) )
AND hd_buy_potential LIKE 'Unknown%'
AND ca_gmt_offset = -7
GROUP BY cc_call_center_id,
cc_name,
cc_manager,
cd_marital_status,
cd_education_status
ORDER BY Sum(cr_net_loss) DESC;
SELECT
"call_center"."cc_call_center_id" AS "call_center",
"call_center"."cc_name" AS "call_center_name",
"call_center"."cc_manager" AS "manager",
SUM("catalog_returns"."cr_net_loss") AS "returns_loss"
FROM "call_center" AS "call_center"
JOIN "catalog_returns" AS "catalog_returns"
ON "call_center"."cc_call_center_sk" = "catalog_returns"."cr_call_center_sk"
JOIN "customer" AS "customer"
ON "catalog_returns"."cr_returning_customer_sk" = "customer"."c_customer_sk"
JOIN "date_dim" AS "date_dim"
ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_moy" = 12
AND "date_dim"."d_year" = 1999
JOIN "customer_address" AS "customer_address"
ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk"
AND "customer_address"."ca_gmt_offset" = -7
JOIN "customer_demographics" AS "customer_demographics"
ON "customer"."c_current_cdemo_sk" = "customer_demographics"."cd_demo_sk"
AND (
"customer_demographics"."cd_education_status" = 'Advanced Degree'
OR "customer_demographics"."cd_education_status" = 'Unknown'
)
AND (
"customer_demographics"."cd_education_status" = 'Advanced Degree'
OR "customer_demographics"."cd_marital_status" = 'M'
)
AND (
"customer_demographics"."cd_education_status" = 'Unknown'
OR "customer_demographics"."cd_marital_status" = 'W'
)
AND (
"customer_demographics"."cd_marital_status" = 'M'
OR "customer_demographics"."cd_marital_status" = 'W'
)
JOIN "household_demographics" AS "household_demographics"
ON "customer"."c_current_hdemo_sk" = "household_demographics"."hd_demo_sk"
AND "household_demographics"."hd_buy_potential" LIKE 'Unknown%'
GROUP BY
"call_center"."cc_call_center_id",
"call_center"."cc_name",
"call_center"."cc_manager",
"customer_demographics"."cd_marital_status",
"customer_demographics"."cd_education_status"
ORDER BY
"returns_loss" DESC;
--------------------------------------
-- TPC-DS 92
--------------------------------------
SELECT
Sum(ws_ext_discount_amt) AS "Excess Discount Amount"
FROM web_sales ,
item ,
date_dim
WHERE i_manufact_id = 718
AND i_item_sk = ws_item_sk
AND d_date BETWEEN '2002-03-29' AND (
Cast('2002-03-29' AS DATE) + INTERVAL '90' day)
AND d_date_sk = ws_sold_date_sk
AND ws_ext_discount_amt >
(
SELECT 1.3 * avg(ws_ext_discount_amt)
FROM web_sales ,
date_dim
WHERE ws_item_sk = i_item_sk
AND d_date BETWEEN '2002-03-29' AND (
cast('2002-03-29' AS date) + INTERVAL '90' day)
AND d_date_sk = ws_sold_date_sk )
ORDER BY sum(ws_ext_discount_amt)
LIMIT 100;
WITH "web_sales_2" AS (
SELECT
"web_sales"."ws_sold_date_sk" AS "ws_sold_date_sk",
"web_sales"."ws_item_sk" AS "ws_item_sk",
"web_sales"."ws_ext_discount_amt" AS "ws_ext_discount_amt"
FROM "web_sales" AS "web_sales"
), "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_date" AS "d_date"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_date" >= '2002-03-29'
AND CAST("date_dim"."d_date" AS DATE) <= CAST('2002-06-27' AS DATE)
), "_u_0" AS (
SELECT
1.3 * AVG("web_sales"."ws_ext_discount_amt") AS "_col_0",
"web_sales"."ws_item_sk" AS "_u_1"
FROM "web_sales_2" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
GROUP BY
"web_sales"."ws_item_sk"
)
SELECT
SUM("web_sales"."ws_ext_discount_amt") AS "Excess Discount Amount"
FROM "web_sales_2" AS "web_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk"
JOIN "item" AS "item"
ON "item"."i_item_sk" = "web_sales"."ws_item_sk" AND "item"."i_manufact_id" = 718
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "item"."i_item_sk"
WHERE
"_u_0"."_col_0" < "web_sales"."ws_ext_discount_amt"
ORDER BY
SUM("web_sales"."ws_ext_discount_amt")
LIMIT 100;
--------------------------------------
-- TPC-DS 93
--------------------------------------
# execute: true
SELECT ss_customer_sk,
Sum(act_sales) sumsales
FROM (SELECT ss_item_sk,
ss_ticket_number,
ss_customer_sk,
CASE
WHEN sr_return_quantity IS NOT NULL THEN
( ss_quantity - sr_return_quantity ) * ss_sales_price
ELSE ( ss_quantity * ss_sales_price )
END act_sales
FROM store_sales
LEFT OUTER JOIN store_returns
ON ( sr_item_sk = ss_item_sk
AND sr_ticket_number = ss_ticket_number ),
reason
WHERE sr_reason_sk = r_reason_sk
AND r_reason_desc = 'reason 38') t
GROUP BY ss_customer_sk
ORDER BY sumsales,
ss_customer_sk
LIMIT 100;
SELECT
"store_sales"."ss_customer_sk" AS "ss_customer_sk",
SUM(
CASE
WHEN NOT "store_returns"."sr_return_quantity" IS NULL
THEN (
"store_sales"."ss_quantity" - "store_returns"."sr_return_quantity"
) * "store_sales"."ss_sales_price"
ELSE (
"store_sales"."ss_quantity" * "store_sales"."ss_sales_price"
)
END
) AS "sumsales"
FROM "store_sales" AS "store_sales"
JOIN "reason" AS "reason"
ON "reason"."r_reason_desc" = 'reason 38'
LEFT JOIN "store_returns" AS "store_returns"
ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk"
AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number"
WHERE
"reason"."r_reason_sk" = "store_returns"."sr_reason_sk"
GROUP BY
"store_sales"."ss_customer_sk"
ORDER BY
"sumsales",
"ss_customer_sk"
LIMIT 100;
--------------------------------------
-- TPC-DS 94
--------------------------------------
SELECT
Count(DISTINCT ws_order_number) AS "order count" ,
Sum(ws_ext_ship_cost) AS "total shipping cost" ,
Sum(ws_net_profit) AS "total net profit"
FROM web_sales ws1 ,
date_dim ,
customer_address ,
web_site
WHERE d_date BETWEEN '2000-3-01' AND (
Cast('2000-3-01' AS DATE) + INTERVAL '60' day)
AND ws1.ws_ship_date_sk = d_date_sk
AND ws1.ws_ship_addr_sk = ca_address_sk
AND ca_state = 'MT'
AND ws1.ws_web_site_sk = web_site_sk
AND web_company_name = 'pri'
AND EXISTS
(
SELECT *
FROM web_sales ws2
WHERE ws1.ws_order_number = ws2.ws_order_number
AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
AND NOT EXISTS
(
SELECT *
FROM web_returns wr1
WHERE ws1.ws_order_number = wr1.wr_order_number)
ORDER BY count(DISTINCT ws_order_number)
LIMIT 100;
WITH "_u_0" AS (
SELECT
"ws2"."ws_order_number" AS "_u_1",
ARRAY_AGG("ws2"."ws_warehouse_sk") AS "_u_2"
FROM "web_sales" AS "ws2"
GROUP BY
"ws2"."ws_order_number"
), "_u_3" AS (
SELECT
"wr1"."wr_order_number" AS "_u_4"
FROM "web_returns" AS "wr1"
GROUP BY
"wr1"."wr_order_number"
)
SELECT
COUNT(DISTINCT "ws1"."ws_order_number") AS "order count",
SUM("ws1"."ws_ext_ship_cost") AS "total shipping cost",
SUM("ws1"."ws_net_profit") AS "total net profit"
FROM "web_sales" AS "ws1"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."_u_1" = "ws1"."ws_order_number"
LEFT JOIN "_u_3" AS "_u_3"
ON "_u_3"."_u_4" = "ws1"."ws_order_number"
JOIN "customer_address" AS "customer_address"
ON "customer_address"."ca_address_sk" = "ws1"."ws_ship_addr_sk"
AND "customer_address"."ca_state" = 'MT'
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date" >= '2000-3-01'
AND "date_dim"."d_date_sk" = "ws1"."ws_ship_date_sk"
AND (
CAST('2000-3-01' AS DATE) + INTERVAL '60' DAY
) >= CAST("date_dim"."d_date" AS DATE)
JOIN "web_site" AS "web_site"
ON "web_site"."web_company_name" = 'pri'
AND "web_site"."web_site_sk" = "ws1"."ws_web_site_sk"
WHERE
"_u_3"."_u_4" IS NULL
AND ARRAY_ANY("_u_0"."_u_2", "_x" -> "ws1"."ws_warehouse_sk" <> "_x")
AND NOT "_u_0"."_u_1" IS NULL
ORDER BY
COUNT(DISTINCT "ws1"."ws_order_number")
LIMIT 100;
--------------------------------------
-- TPC-DS 95
--------------------------------------
WITH ws_wh AS
(
SELECT ws1.ws_order_number,
ws1.ws_warehouse_sk wh1,
ws2.ws_warehouse_sk wh2
FROM web_sales ws1,
web_sales ws2
WHERE ws1.ws_order_number = ws2.ws_order_number
AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
SELECT
Count(DISTINCT ws_order_number) AS "order count" ,
Sum(ws_ext_ship_cost) AS "total shipping cost" ,
Sum(ws_net_profit) AS "total net profit"
FROM web_sales ws1 ,
date_dim ,
customer_address ,
web_site
WHERE d_date BETWEEN '2000-4-01' AND (
Cast('2000-4-01' AS DATE) + INTERVAL '60' day)
AND ws1.ws_ship_date_sk = d_date_sk
AND ws1.ws_ship_addr_sk = ca_address_sk
AND ca_state = 'IN'
AND ws1.ws_web_site_sk = web_site_sk
AND web_company_name = 'pri'
AND ws1.ws_order_number IN
(
SELECT ws_order_number
FROM ws_wh)
AND ws1.ws_order_number IN
(
SELECT wr_order_number
FROM web_returns,
ws_wh
WHERE wr_order_number = ws_wh.ws_order_number)
ORDER BY count(DISTINCT ws_order_number)
LIMIT 100;
WITH "ws_wh" AS (
SELECT
"ws1"."ws_order_number" AS "ws_order_number"
FROM "web_sales" AS "ws1"
JOIN "web_sales" AS "ws2"
ON "ws1"."ws_order_number" = "ws2"."ws_order_number"
AND "ws1"."ws_warehouse_sk" <> "ws2"."ws_warehouse_sk"
), "_u_0" AS (
SELECT
"ws_wh"."ws_order_number" AS "ws_order_number"
FROM "ws_wh" AS "ws_wh"
GROUP BY
"ws_wh"."ws_order_number"
), "_u_1" AS (
SELECT
"web_returns"."wr_order_number" AS "wr_order_number"
FROM "web_returns" AS "web_returns"
JOIN "ws_wh" AS "ws_wh"
ON "web_returns"."wr_order_number" = "ws_wh"."ws_order_number"
GROUP BY
"web_returns"."wr_order_number"
)
SELECT
COUNT(DISTINCT "ws1"."ws_order_number") AS "order count",
SUM("ws1"."ws_ext_ship_cost") AS "total shipping cost",
SUM("ws1"."ws_net_profit") AS "total net profit"
FROM "web_sales" AS "ws1"
LEFT JOIN "_u_0" AS "_u_0"
ON "_u_0"."ws_order_number" = "ws1"."ws_order_number"
LEFT JOIN "_u_1" AS "_u_1"
ON "_u_1"."wr_order_number" = "ws1"."ws_order_number"
JOIN "customer_address" AS "customer_address"
ON "customer_address"."ca_address_sk" = "ws1"."ws_ship_addr_sk"
AND "customer_address"."ca_state" = 'IN'
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date" >= '2000-4-01'
AND "date_dim"."d_date_sk" = "ws1"."ws_ship_date_sk"
AND (
CAST('2000-4-01' AS DATE) + INTERVAL '60' DAY
) >= CAST("date_dim"."d_date" AS DATE)
JOIN "web_site" AS "web_site"
ON "web_site"."web_company_name" = 'pri'
AND "web_site"."web_site_sk" = "ws1"."ws_web_site_sk"
WHERE
NOT "_u_0"."ws_order_number" IS NULL AND NOT "_u_1"."wr_order_number" IS NULL
ORDER BY
COUNT(DISTINCT "ws1"."ws_order_number")
LIMIT 100;
--------------------------------------
-- TPC-DS 96
--------------------------------------
# execute: true
SELECT Count(*) AS "_col_0"
FROM store_sales,
household_demographics,
time_dim,
store
WHERE ss_sold_time_sk = time_dim.t_time_sk
AND ss_hdemo_sk = household_demographics.hd_demo_sk
AND ss_store_sk = s_store_sk
AND time_dim.t_hour = 15
AND time_dim.t_minute >= 30
AND household_demographics.hd_dep_count = 7
AND store.s_store_name = 'ese'
ORDER BY Count(*)
LIMIT 100;
SELECT
COUNT(*) AS "_col_0"
FROM "store_sales" AS "store_sales"
JOIN "household_demographics" AS "household_demographics"
ON "household_demographics"."hd_demo_sk" = "store_sales"."ss_hdemo_sk"
AND "household_demographics"."hd_dep_count" = 7
JOIN "store" AS "store"
ON "store"."s_store_name" = 'ese'
AND "store"."s_store_sk" = "store_sales"."ss_store_sk"
JOIN "time_dim" AS "time_dim"
ON "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk"
AND "time_dim"."t_hour" = 15
AND "time_dim"."t_minute" >= 30
ORDER BY
COUNT(*)
LIMIT 100;
--------------------------------------
-- TPC-DS 97
--------------------------------------
# execute: true
WITH ssci
AS (SELECT ss_customer_sk customer_sk,
ss_item_sk item_sk
FROM store_sales,
date_dim
WHERE ss_sold_date_sk = d_date_sk
AND d_month_seq BETWEEN 1196 AND 1196 + 11
GROUP BY ss_customer_sk,
ss_item_sk),
csci
AS (SELECT cs_bill_customer_sk customer_sk,
cs_item_sk item_sk
FROM catalog_sales,
date_dim
WHERE cs_sold_date_sk = d_date_sk
AND d_month_seq BETWEEN 1196 AND 1196 + 11
GROUP BY cs_bill_customer_sk,
cs_item_sk)
SELECT Sum(CASE
WHEN ssci.customer_sk IS NOT NULL
AND csci.customer_sk IS NULL THEN 1
ELSE 0
END) store_only,
Sum(CASE
WHEN ssci.customer_sk IS NULL
AND csci.customer_sk IS NOT NULL THEN 1
ELSE 0
END) catalog_only,
Sum(CASE
WHEN ssci.customer_sk IS NOT NULL
AND csci.customer_sk IS NOT NULL THEN 1
ELSE 0
END) store_and_catalog
FROM ssci
FULL OUTER JOIN csci
ON ( ssci.customer_sk = csci.customer_sk
AND ssci.item_sk = csci.item_sk )
LIMIT 100;
WITH "date_dim_2" AS (
SELECT
"date_dim"."d_date_sk" AS "d_date_sk",
"date_dim"."d_month_seq" AS "d_month_seq"
FROM "date_dim" AS "date_dim"
WHERE
"date_dim"."d_month_seq" <= 1207 AND "date_dim"."d_month_seq" >= 1196
), "ssci" AS (
SELECT
"store_sales"."ss_customer_sk" AS "customer_sk",
"store_sales"."ss_item_sk" AS "item_sk"
FROM "store_sales" AS "store_sales"
JOIN "date_dim_2" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
GROUP BY
"store_sales"."ss_customer_sk",
"store_sales"."ss_item_sk"
), "csci" AS (
SELECT
"catalog_sales"."cs_bill_customer_sk" AS "customer_sk",
"catalog_sales"."cs_item_sk" AS "item_sk"
FROM "catalog_sales" AS "catalog_sales"
JOIN "date_dim_2" AS "date_dim"
ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk"
GROUP BY
"catalog_sales"."cs_bill_customer_sk",
"catalog_sales"."cs_item_sk"
)
SELECT
SUM(
CASE
WHEN "csci"."customer_sk" IS NULL AND NOT "ssci"."customer_sk" IS NULL
THEN 1
ELSE 0
END
) AS "store_only",
SUM(
CASE
WHEN "ssci"."customer_sk" IS NULL AND NOT "csci"."customer_sk" IS NULL
THEN 1
ELSE 0
END
) AS "catalog_only",
SUM(
CASE
WHEN NOT "csci"."customer_sk" IS NULL AND NOT "ssci"."customer_sk" IS NULL
THEN 1
ELSE 0
END
) AS "store_and_catalog"
FROM "ssci" AS "ssci"
FULL JOIN "csci" AS "csci"
ON "csci"."customer_sk" = "ssci"."customer_sk"
AND "csci"."item_sk" = "ssci"."item_sk"
LIMIT 100;
--------------------------------------
-- TPC-DS 98
--------------------------------------
SELECT i_item_id,
i_item_desc,
i_category,
i_class,
i_current_price,
Sum(ss_ext_sales_price) AS itemrevenue,
Sum(ss_ext_sales_price) * 100 / Sum(Sum(ss_ext_sales_price))
OVER (
PARTITION BY i_class) AS revenueratio
FROM store_sales,
item,
date_dim
WHERE ss_item_sk = i_item_sk
AND i_category IN ( 'Men', 'Home', 'Electronics' )
AND ss_sold_date_sk = d_date_sk
AND d_date BETWEEN CAST('2000-05-18' AS DATE) AND (
CAST('2000-05-18' AS DATE) + INTERVAL '30' DAY )
GROUP BY i_item_id,
i_item_desc,
i_category,
i_class,
i_current_price
ORDER BY i_category,
i_class,
i_item_id,
i_item_desc,
revenueratio;
SELECT
"item"."i_item_id" AS "i_item_id",
"item"."i_item_desc" AS "i_item_desc",
"item"."i_category" AS "i_category",
"item"."i_class" AS "i_class",
"item"."i_current_price" AS "i_current_price",
SUM("store_sales"."ss_ext_sales_price") AS "itemrevenue",
SUM("store_sales"."ss_ext_sales_price") * 100 / SUM(SUM("store_sales"."ss_ext_sales_price")) OVER (PARTITION BY "item"."i_class") AS "revenueratio"
FROM "store_sales" AS "store_sales"
JOIN "date_dim" AS "date_dim"
ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk"
AND CAST("date_dim"."d_date" AS DATE) <= CAST('2000-06-17' AS DATE)
AND CAST("date_dim"."d_date" AS DATE) >= CAST('2000-05-18' AS DATE)
JOIN "item" AS "item"
ON "item"."i_category" IN ('Men', 'Home', 'Electronics')
AND "item"."i_item_sk" = "store_sales"."ss_item_sk"
GROUP BY
"item"."i_item_id",
"item"."i_item_desc",
"item"."i_category",
"item"."i_class",
"item"."i_current_price"
ORDER BY
"i_category",
"i_class",
"i_item_id",
"i_item_desc",
"revenueratio";
--------------------------------------
-- TPC-DS 99
--------------------------------------
# execute: true
SELECT SUBSTRING(w_warehouse_name, 1, 20) AS "_col_0",
sm_type,
cc_name,
Sum(CASE
WHEN ( cs_ship_date_sk - cs_sold_date_sk <= 30 ) THEN 1
ELSE 0
END) AS "30 days",
Sum(CASE
WHEN ( cs_ship_date_sk - cs_sold_date_sk > 30 )
AND ( cs_ship_date_sk - cs_sold_date_sk <= 60 ) THEN 1
ELSE 0
END) AS "31-60 days",
Sum(CASE
WHEN ( cs_ship_date_sk - cs_sold_date_sk > 60 )
AND ( cs_ship_date_sk - cs_sold_date_sk <= 90 ) THEN 1
ELSE 0
END) AS "61-90 days",
Sum(CASE
WHEN ( cs_ship_date_sk - cs_sold_date_sk > 90 )
AND ( cs_ship_date_sk - cs_sold_date_sk <= 120 ) THEN
1
ELSE 0
END) AS "91-120 days",
Sum(CASE
WHEN ( cs_ship_date_sk - cs_sold_date_sk > 120 ) THEN 1
ELSE 0
END) AS ">120 days"
FROM catalog_sales,
warehouse,
ship_mode,
call_center,
date_dim
WHERE d_month_seq BETWEEN 1200 AND 1200 + 11
AND cs_ship_date_sk = d_date_sk
AND cs_warehouse_sk = w_warehouse_sk
AND cs_ship_mode_sk = sm_ship_mode_sk
AND cs_call_center_sk = cc_call_center_sk
GROUP BY SUBSTRING(w_warehouse_name, 1, 20),
sm_type,
cc_name
ORDER BY SUBSTRING(w_warehouse_name, 1, 20),
sm_type,
cc_name
LIMIT 100;
SELECT
SUBSTRING("warehouse"."w_warehouse_name", 1, 20) AS "_col_0",
"ship_mode"."sm_type" AS "sm_type",
"call_center"."cc_name" AS "cc_name",
SUM(
CASE
WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" <= 30
THEN 1
ELSE 0
END
) AS "30 days",
SUM(
CASE
WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" <= 60
AND "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" > 30
THEN 1
ELSE 0
END
) AS "31-60 days",
SUM(
CASE
WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" <= 90
AND "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" > 60
THEN 1
ELSE 0
END
) AS "61-90 days",
SUM(
CASE
WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" <= 120
AND "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" > 90
THEN 1
ELSE 0
END
) AS "91-120 days",
SUM(
CASE
WHEN "catalog_sales"."cs_ship_date_sk" - "catalog_sales"."cs_sold_date_sk" > 120
THEN 1
ELSE 0
END
) AS ">120 days"
FROM "catalog_sales" AS "catalog_sales"
JOIN "call_center" AS "call_center"
ON "call_center"."cc_call_center_sk" = "catalog_sales"."cs_call_center_sk"
JOIN "date_dim" AS "date_dim"
ON "catalog_sales"."cs_ship_date_sk" = "date_dim"."d_date_sk"
AND "date_dim"."d_month_seq" <= 1211
AND "date_dim"."d_month_seq" >= 1200
JOIN "ship_mode" AS "ship_mode"
ON "catalog_sales"."cs_ship_mode_sk" = "ship_mode"."sm_ship_mode_sk"
JOIN "warehouse" AS "warehouse"
ON "catalog_sales"."cs_warehouse_sk" = "warehouse"."w_warehouse_sk"
GROUP BY
SUBSTRING("warehouse"."w_warehouse_name", 1, 20),
"ship_mode"."sm_type",
"call_center"."cc_name"
ORDER BY
"_col_0",
"sm_type",
"cc_name"
LIMIT 100;