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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-04-03 07:31:50 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-04-03 07:31:50 +0000 |
commit | 1fb60a37d31eacbac62ddafde51b829522925694 (patch) | |
tree | 5c04a33630f7a2cd4cff248e965053f97ec3e4ac /tests/fixtures/optimizer/tpc-ds | |
parent | Adding upstream version 11.4.1. (diff) | |
download | sqlglot-1fb60a37d31eacbac62ddafde51b829522925694.tar.xz sqlglot-1fb60a37d31eacbac62ddafde51b829522925694.zip |
Adding upstream version 11.4.5.upstream/11.4.5
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'tests/fixtures/optimizer/tpc-ds')
-rw-r--r-- | tests/fixtures/optimizer/tpc-ds/tpc-ds.sql | 12613 |
1 files changed, 12613 insertions, 0 deletions
diff --git a/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql b/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql new file mode 100644 index 0000000..b92ad37 --- /dev/null +++ b/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql @@ -0,0 +1,12613 @@ +-------------------------------------- +-- TPC-DS 1 +-------------------------------------- +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_year" = 2001 + AND "store_returns"."sr_returned_date_sk" = "date_dim"."d_date_sk" + 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 "ctr1"."ctr_store_sk" = "_u_0"."_u_1" +JOIN "store" AS "store" + ON "store"."s_state" = 'TN' AND "store"."s_store_sk" = "ctr1"."ctr_store_sk" +JOIN "customer" AS "customer" + ON "ctr1"."ctr_customer_sk" = "customer"."c_customer_sk" +WHERE + "ctr1"."ctr_total_return" > "_u_0"."_col_0" +ORDER BY + "c_customer_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 2 +-------------------------------------- +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), + Round(mon_sales1 / mon_sales2, 2), + Round(tue_sales1 / tue_sales2, 2), + Round(wed_sales1 / wed_sales2, 2), + Round(thu_sales1 / thu_sales2, 2), + Round(fri_sales1 / fri_sales2, 2), + Round(sat_sales1 / sat_sales2, 2) +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" + 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" +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 +CROSS JOIN "date_dim" AS "date_dim_2" +WHERE + "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 +-------------------------------------- +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 + "date_dim"."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 "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_manufact_id" = 427 AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +WHERE + "date_dim"."d_moy" = 11 +GROUP BY + "date_dim"."d_year", + "item"."i_brand", + "item"."i_brand_id" +ORDER BY + "date_dim"."d_year", + "sum_agg" DESC, + "brand_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 4 +-------------------------------------- +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" +), "cte" 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 "store_sales"."ss_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" +), "cte_2" 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( + ( + ( + ( + "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 "customer"."c_customer_sk" = "catalog_sales"."cs_bill_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" +), "cte_3" 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( + ( + ( + ( + "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 "web_sales"."ws_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" +), "cte_4" AS ( + SELECT + "cte_2"."customer_id" AS "customer_id", + "cte_2"."customer_first_name" AS "customer_first_name", + "cte_2"."customer_last_name" AS "customer_last_name", + "cte_2"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag", + "cte_2"."dyear" AS "dyear", + "cte_2"."year_total" AS "year_total", + "cte_2"."sale_type" AS "sale_type" + FROM "cte_2" AS "cte_2" + UNION ALL + SELECT + "cte_3"."customer_id" AS "customer_id", + "cte_3"."customer_first_name" AS "customer_first_name", + "cte_3"."customer_last_name" AS "customer_last_name", + "cte_3"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag", + "cte_3"."dyear" AS "dyear", + "cte_3"."year_total" AS "year_total", + "cte_3"."sale_type" AS "sale_type" + FROM "cte_3" AS "cte_3" +), "year_total" AS ( + SELECT + "cte"."customer_id" AS "customer_id", + "cte"."customer_first_name" AS "customer_first_name", + "cte"."customer_last_name" AS "customer_last_name", + "cte"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag", + "cte"."dyear" AS "dyear", + "cte"."year_total" AS "year_total", + "cte"."sale_type" AS "sale_type" + FROM "cte" AS "cte" + UNION ALL + SELECT + "cte_4"."customer_id" AS "customer_id", + "cte_4"."customer_first_name" AS "customer_first_name", + "cte_4"."customer_last_name" AS "customer_last_name", + "cte_4"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag", + "cte_4"."dyear" AS "dyear", + "cte_4"."year_total" AS "year_total", + "cte_4"."sale_type" AS "sale_type" + FROM "cte_4" AS "cte_4" +) +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_s_secyear" + ON "t_s_secyear"."customer_id" = "t_s_firstyear"."customer_id" + AND "t_s_secyear"."dyear" = 2002 + AND "t_s_secyear"."sale_type" = 's' +JOIN "year_total" AS "t_c_secyear" + ON "t_c_secyear"."dyear" = 2002 + AND "t_c_secyear"."sale_type" = 'c' + AND "t_s_firstyear"."customer_id" = "t_c_secyear"."customer_id" +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' +JOIN "year_total" AS "t_c_firstyear" + ON "t_c_firstyear"."dyear" = 2001 + AND "t_c_firstyear"."sale_type" = 'c' + AND "t_c_firstyear"."year_total" > 0 + AND "t_s_firstyear"."customer_id" = "t_c_firstyear"."customer_id" + 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 +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 "salesreturns"."date_sk" = "date_dim"."d_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 "date_dim_2" AS "date_dim" + ON "salesreturns"."date_sk" = "date_dim"."d_date_sk" + JOIN "catalog_page" AS "catalog_page" + ON "salesreturns"."page_sk" = "catalog_page"."cp_catalog_page_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 "salesreturns"."date_sk" = "date_dim"."d_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" +), "cte_10" AS ( + 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" + 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" +), "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" + UNION ALL + SELECT + "cte_10"."channel" AS "channel", + "cte_10"."id" AS "id", + "cte_10"."sales" AS "sales", + "cte_10"."returns1" AS "returns1", + "cte_10"."profit" AS "profit" + FROM "cte_10" AS "cte_10" +) +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 +-------------------------------------- +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 "_col_0" + 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 + "customer_address"."ca_state" AS "state", + COUNT(*) AS "cnt" +FROM "customer_address" AS "customer_address" +CROSS JOIN "_u_0" AS "_u_0" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" = "_u_0"."_col_0" +JOIN "store_sales" AS "store_sales" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" +LEFT JOIN "_u_1" AS "_u_1" + ON "_u_1"."_u_2" = "item"."i_category" +JOIN "customer" AS "customer" + ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" + AND "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" +WHERE + "item"."i_current_price" > 1.2 * "_u_1"."_col_0" +GROUP BY + "customer_address"."ca_state" +HAVING + COUNT(*) >= 10 +ORDER BY + "cnt" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 7 +-------------------------------------- +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_education_status" = '2 yr Degree' + AND "customer_demographics"."cd_gender" = 'F' + AND "customer_demographics"."cd_marital_status" = 'W' + AND "store_sales"."ss_cdemo_sk" = "customer_demographics"."cd_demo_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 1998 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" +JOIN "promotion" AS "promotion" + ON ( + "promotion"."p_channel_email" = 'N' OR "promotion"."p_channel_event" = 'N' + ) + AND "store_sales"."ss_promo_sk" = "promotion"."p_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 Substr(ca_zip, 1, 5) ca_zip + FROM customer_address + WHERE Substr(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 Substr(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 ( Substr(s_zip, 1, 2) = Substr(V1.ca_zip, 1, 2) ) +GROUP BY s_store_name +ORDER BY s_store_name +LIMIT 100; +WITH "a1" AS ( + SELECT + SUBSTR("customer_address"."ca_zip", 1, 5) AS "ca_zip" + FROM "customer_address" AS "customer_address", "customer" AS "customer" + WHERE + "customer"."c_preferred_cust_flag" = 'Y' + AND "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + GROUP BY + "customer_address"."ca_zip" + HAVING + COUNT(*) > 10 +), "a2" AS ( + SELECT + SUBSTR("customer_address"."ca_zip", 1, 5) AS "ca_zip" + FROM "customer_address" AS "customer_address" + WHERE + SUBSTR("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_qoy" = 2 + AND "date_dim"."d_year" = 2000 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" +JOIN "a2" AS "a2" + ON SUBSTR("store"."s_zip", 1, 2) = SUBSTR("a2"."ca_zip", 1, 2) +GROUP BY + "store"."s_store_name" +ORDER BY + "s_store_name" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 9 +-------------------------------------- +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_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 +), "_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 +) +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_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" +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" +WHERE + "reason"."r_reason_sk" = 1; + +-------------------------------------- +-- TPC-DS 10 +-------------------------------------- +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 "store_sales"."ss_sold_date_sk" = "date_dim"."d_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 "web_sales"."ws_sold_date_sk" = "date_dim"."d_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 "customer" +LEFT JOIN "_u_0" AS "_u_0" + ON "customer"."c_customer_sk" = "_u_0"."_u_1" +LEFT JOIN "_u_2" AS "_u_2" + ON "customer"."c_customer_sk" = "_u_2"."_u_3" +LEFT JOIN "_u_4" AS "_u_4" + ON "customer"."c_customer_sk" = "_u_4"."_u_5" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" + AND "customer_address"."ca_county" IN ('Lycoming County', 'Sheridan County', 'Kandiyohi County', 'Pike County', 'Greene County') +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_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 +-------------------------------------- +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" +), "cte" 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 "store_sales"."ss_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" +), "cte_2" 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("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 "web_sales"."ws_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" +), "year_total" AS ( + SELECT + "cte"."customer_id" AS "customer_id", + "cte"."customer_first_name" AS "customer_first_name", + "cte"."customer_last_name" AS "customer_last_name", + "cte"."customer_birth_country" AS "customer_birth_country", + "cte"."dyear" AS "dyear", + "cte"."year_total" AS "year_total", + "cte"."sale_type" AS "sale_type" + FROM "cte" AS "cte" + UNION ALL + SELECT + "cte_2"."customer_id" AS "customer_id", + "cte_2"."customer_first_name" AS "customer_first_name", + "cte_2"."customer_last_name" AS "customer_last_name", + "cte_2"."customer_birth_country" AS "customer_birth_country", + "cte_2"."dyear" AS "dyear", + "cte_2"."year_total" AS "year_total", + "cte_2"."sale_type" AS "sale_type" + FROM "cte_2" AS "cte_2" +) +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_secyear"."customer_id" = "t_s_firstyear"."customer_id" + AND "t_s_secyear"."dyear" = 2002 + AND "t_s_secyear"."sale_type" = 's' +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' +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 + 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 +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 "item" AS "item" + ON "item"."i_category" IN ('Home', 'Men', 'Women') + AND "web_sales"."ws_item_sk" = "item"."i_item_sk" +JOIN "date_dim" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_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) +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" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +CROSS JOIN "household_demographics" AS "household_demographics" +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_education_status" = 'Primary' + AND "customer_demographics"."cd_education_status" = 'Secondary' + AND "customer_demographics"."cd_marital_status" = 'D' + AND "customer_demographics"."cd_marital_status" = 'M' + AND "customer_demographics"."cd_marital_status" = 'U' + AND "household_demographics"."hd_dep_count" = 1 + AND "household_demographics"."hd_dep_count" = 3 + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sales_price" <= 100.00 + AND "store_sales"."ss_sales_price" >= 150.00 +JOIN "customer_address" AS "customer_address" + ON ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('AZ', 'NE', 'IA') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 200 + AND "store_sales"."ss_net_profit" >= 100 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('GA', 'TX', 'NJ') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 250 + AND "store_sales"."ss_net_profit" >= 50 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('MS', 'CA', 'NV') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 300 + AND "store_sales"."ss_net_profit" >= 150 + ) +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2001 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_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" +), "d1" 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 +), "cte_4" AS ( + 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" + CROSS JOIN "item_2" AS "ics" + CROSS JOIN "d1" AS "d2" + WHERE + "catalog_sales"."cs_item_sk" = "ics"."i_item_sk" + AND "catalog_sales"."cs_sold_date_sk" = "d2"."d_date_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" + CROSS JOIN "item_2" AS "iws" + CROSS JOIN "d1" AS "d3" + WHERE + "web_sales"."ws_item_sk" = "iws"."i_item_sk" + AND "web_sales"."ws_sold_date_sk" = "d3"."d_date_sk" +), "_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" + CROSS JOIN "item_2" AS "iss" + CROSS JOIN "d1" AS "d1" + WHERE + "store_sales"."ss_item_sk" = "iss"."i_item_sk" + AND "store_sales"."ss_sold_date_sk" = "d1"."d_date_sk" + INTERSECT + SELECT + "cte_4"."i_brand_id" AS "i_brand_id", + "cte_4"."i_class_id" AS "i_class_id", + "cte_4"."i_category_id" AS "i_category_id" + FROM "cte_4" AS "cte_4" +), "cte_8" AS ( + SELECT + "catalog_sales"."cs_quantity" AS "quantity", + "catalog_sales"."cs_list_price" AS "list_price" + FROM "catalog_sales" AS "catalog_sales" + JOIN "d1" 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 "d1" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" +), "x" AS ( + SELECT + "store_sales"."ss_quantity" AS "quantity", + "store_sales"."ss_list_price" AS "list_price" + FROM "store_sales" AS "store_sales" + JOIN "d1" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + UNION ALL + SELECT + "cte_8"."quantity" AS "quantity", + "cte_8"."list_price" AS "list_price" + FROM "cte_8" AS "cte_8" +), "avg_sales" AS ( + SELECT + AVG("x"."quantity" * "x"."list_price") AS "average_sales" + FROM "x" AS "x" +), "_u_0" AS ( + SELECT + "item"."i_item_sk" AS "ss_item_sk" + FROM "item_2" AS "item" + JOIN "_q_0" AS "_q_0" + ON "item"."i_brand_id" = "_q_0"."brand_id" + AND "item"."i_category_id" = "_q_0"."category_id" + AND "item"."i_class_id" = "_q_0"."class_id" + GROUP BY + "item"."i_item_sk" +), "_u_1" AS ( + SELECT + "avg_sales"."average_sales" AS "average_sales" + FROM "avg_sales" +), "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 +), "cte_9" 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" + LEFT JOIN "_u_0" AS "_u_0" + ON "store_sales"."ss_item_sk" = "_u_0"."ss_item_sk" + CROSS JOIN "_u_1" AS "_u_1" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_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 + SUM("store_sales"."ss_quantity" * "store_sales"."ss_list_price") > MAX("_u_1"."average_sales") +), "cte_10" AS ( + 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" + LEFT JOIN "_u_0" AS "_u_2" + ON "catalog_sales"."cs_item_sk" = "_u_2"."ss_item_sk" + CROSS JOIN "_u_1" AS "_u_3" + JOIN "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_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 + SUM("catalog_sales"."cs_quantity" * "catalog_sales"."cs_list_price") > MAX("_u_3"."average_sales") +), "cte_11" AS ( + 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" + LEFT JOIN "_u_0" AS "_u_4" + ON "web_sales"."ws_item_sk" = "_u_4"."ss_item_sk" + CROSS JOIN "_u_1" AS "_u_5" + JOIN "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_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 + SUM("web_sales"."ws_quantity" * "web_sales"."ws_list_price") > MAX("_u_5"."average_sales") +), "cte_12" AS ( + SELECT + "cte_10"."channel" AS "channel", + "cte_10"."i_brand_id" AS "i_brand_id", + "cte_10"."i_class_id" AS "i_class_id", + "cte_10"."i_category_id" AS "i_category_id", + "cte_10"."sales" AS "sales", + "cte_10"."number_sales" AS "number_sales" + FROM "cte_10" AS "cte_10" + UNION ALL + SELECT + "cte_11"."channel" AS "channel", + "cte_11"."i_brand_id" AS "i_brand_id", + "cte_11"."i_class_id" AS "i_class_id", + "cte_11"."i_category_id" AS "i_category_id", + "cte_11"."sales" AS "sales", + "cte_11"."number_sales" AS "number_sales" + FROM "cte_11" AS "cte_11" +), "y" AS ( + SELECT + "cte_9"."channel" AS "channel", + "cte_9"."i_brand_id" AS "i_brand_id", + "cte_9"."i_class_id" AS "i_class_id", + "cte_9"."i_category_id" AS "i_category_id", + "cte_9"."sales" AS "sales", + "cte_9"."number_sales" AS "number_sales" + FROM "cte_9" AS "cte_9" + UNION ALL + SELECT + "cte_12"."channel" AS "channel", + "cte_12"."i_brand_id" AS "i_brand_id", + "cte_12"."i_class_id" AS "i_class_id", + "cte_12"."i_category_id" AS "i_category_id", + "cte_12"."sales" AS "sales", + "cte_12"."number_sales" AS "number_sales" + FROM "cte_12" AS "cte_12" +) +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 +-------------------------------------- +SELECT ca_zip, + Sum(cs_sales_price) +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 ( Substr(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_address" AS "customer_address" + ON "catalog_sales"."cs_sales_price" > 500 + OR "customer_address"."ca_state" IN ('CA', 'WA', 'GA') + OR SUBSTR("customer_address"."ca_zip", 1, 5) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792') +JOIN "customer" AS "customer" + ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk" + AND "customer"."c_current_addr_sk" = "customer_address"."ca_address_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 +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 "catalog_sales"."cs_order_number") AS "order count", + SUM("catalog_sales"."cs_ext_ship_cost") AS "total shipping cost", + SUM("catalog_sales"."cs_net_profit") AS "total net profit" +FROM "catalog_sales" AS "catalog_sales" +LEFT JOIN "_u_0" AS "_u_0" + ON "catalog_sales"."cs_order_number" = "_u_0"."_u_1" +LEFT JOIN "_u_3" AS "_u_3" + ON "catalog_sales"."cs_order_number" = "_u_3"."_u_4" +JOIN "date_dim" AS "date_dim" + ON "catalog_sales"."cs_ship_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_date" >= '2002-3-01' + AND CAST("date_dim"."d_date" AS DATE) <= ( + CAST('2002-3-01' AS DATE) + INTERVAL '60' "day" + ) +JOIN "customer_address" AS "customer_address" + ON "catalog_sales"."cs_ship_addr_sk" = "customer_address"."ca_address_sk" + AND "customer_address"."ca_state" = 'IA' +JOIN "call_center" AS "call_center" + ON "call_center"."cc_county" IN ('Williamson County', 'Williamson County', 'Williamson County', 'Williamson County', 'Williamson County') + AND "catalog_sales"."cs_call_center_sk" = "call_center"."cc_call_center_sk" +WHERE + "_u_3"."_u_4" IS NULL + AND ARRAY_ANY("_u_0"."_u_2", "_x" -> "catalog_sales"."cs_warehouse_sk" <> "_x") + AND NOT "_u_0"."_u_1" IS NULL +ORDER BY + COUNT(DISTINCT "catalog_sales"."cs_order_number") +LIMIT 100; + +-------------------------------------- +-- TPC-DS 17 +-------------------------------------- +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; +WITH "d3" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_quarter_name" AS "d_quarter_name" + FROM "date_dim" AS "date_dim" + WHERE + "date_dim"."d_quarter_name" IN ('1999Q1', '1999Q2', '1999Q3') +) +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" +CROSS JOIN "d3" AS "d3" +JOIN "catalog_sales" AS "catalog_sales" + ON "catalog_sales"."cs_sold_date_sk" = "d3"."d_date_sk" +JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_customer_sk" = "catalog_sales"."cs_bill_customer_sk" + AND "store_returns"."sr_item_sk" = "catalog_sales"."cs_item_sk" + AND "store_sales"."ss_customer_sk" = "store_returns"."sr_customer_sk" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" + AND "date_dim"."d_quarter_name" = '1999Q1' +JOIN "d3" AS "d2" + ON "store_returns"."sr_returned_date_sk" = "d2"."d_date_sk" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "store_sales"."ss_item_sk" +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("customer_demographics"."cd_dep_count" AS DECIMAL(12, 2))) AS "agg7" +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' +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 "customer_demographics" AS "customer_demographics_2" + ON "customer"."c_current_cdemo_sk" = "customer_demographics_2"."cd_demo_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') +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" +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 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 "item" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + AND "item"."i_category" IN ('Children', 'Women', 'Electronics') +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) +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 "warehouse" AS "warehouse" + ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk" + JOIN "item" AS "item" + ON "item"."i_current_price" <= 1.49 + AND "item"."i_current_price" >= 0.99 + AND "item"."i_item_sk" = "inventory"."inv_item_sk" + JOIN "date_dim" AS "date_dim" + ON "inventory"."inv_date_sk" = "date_dim"."d_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) + 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_month_seq" <= 1216 + AND "date_dim"."d_month_seq" >= 1205 + AND "inventory"."inv_date_sk" = "date_dim"."d_date_sk" +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 +-------------------------------------- +WITH frequent_ss_items + AS (SELECT Substr(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 Substr(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) +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_year" IN (1998, 1999, 2000, 2001) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + GROUP BY + SUBSTR("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 "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" IN (1998, 1999, 2000, 2001) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + 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" + JOIN "customer_2" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + GROUP BY + "customer"."c_customer_sk" + HAVING + SUM("store_sales"."ss_quantity" * "store_sales"."ss_sales_price") > 0.95 * MAX("max_store_sales"."tpcds_cmax") +), "_u_1" AS ( + SELECT + "frequent_ss_items"."item_sk" AS "item_sk" + FROM "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" + 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 "catalog_sales"."cs_item_sk" = "_u_1"."item_sk" + LEFT JOIN "_u_2" AS "_u_2" + ON "catalog_sales"."cs_bill_customer_sk" = "_u_2"."c_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 "web_sales"."ws_item_sk" = "_u_3"."item_sk" + LEFT JOIN "_u_2" AS "_u_4" + ON "web_sales"."ws_bill_customer_sk" = "_u_4"."c_customer_sk" + JOIN "date_dim_4" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_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 +-------------------------------------- +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 "store_returns" AS "store_returns" + ON "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" + JOIN "store" AS "store" + ON "store"."s_market_id" = 6 AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "customer" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + JOIN "customer_address" AS "customer_address" + ON "customer"."c_birth_country" = UPPER("customer_address"."ca_country") + AND "store"."s_zip" = "customer_address"."ca_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" +) +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" +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 + SUM("ssales"."netpaid") > MAX("_u_0"."_col_0"); + +-------------------------------------- +-- TPC-DS 25 +-------------------------------------- +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; +WITH "d3" 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" <= 10 AND "date_dim"."d_moy" >= 4 AND "date_dim"."d_year" = 2001 +) +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" +CROSS JOIN "d3" AS "d3" +JOIN "catalog_sales" AS "catalog_sales" + ON "catalog_sales"."cs_sold_date_sk" = "d3"."d_date_sk" +JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_customer_sk" = "catalog_sales"."cs_bill_customer_sk" + AND "store_returns"."sr_item_sk" = "catalog_sales"."cs_item_sk" + AND "store_sales"."ss_customer_sk" = "store_returns"."sr_customer_sk" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" + AND "date_dim"."d_moy" = 4 + AND "date_dim"."d_year" = 2001 +JOIN "d3" AS "d2" + ON "store_returns"."sr_returned_date_sk" = "d2"."d_date_sk" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "store_sales"."ss_item_sk" +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 +-------------------------------------- +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_education_status" = 'College' + AND "customer_demographics"."cd_gender" = 'M' + AND "customer_demographics"."cd_marital_status" = 'D' + AND "store_sales"."ss_cdemo_sk" = "customer_demographics"."cd_demo_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2000 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "store" AS "store" + ON "store"."s_state" IN ('TN', 'TN', 'TN', 'TN', 'TN', 'TN') + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" +JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_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 +-------------------------------------- +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 "date_dim" + ON "date_dim"."d_year" IN (1998, 1999, 2000) +JOIN "catalog_sales" AS "catalog_sales" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_customer_sk" = "catalog_sales"."cs_bill_customer_sk" + AND "store_returns"."sr_item_sk" = "catalog_sales"."cs_item_sk" + AND "store_sales"."ss_customer_sk" = "store_returns"."sr_customer_sk" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" +JOIN "date_dim" AS "date_dim_2" + ON "date_dim_2"."d_date_sk" = "store_sales"."ss_sold_date_sk" + AND "date_dim_2"."d_moy" = 4 + AND "date_dim_2"."d_year" = 1998 +JOIN "date_dim" AS "date_dim_3" + ON "date_dim_3"."d_moy" <= 7 + AND "date_dim_3"."d_moy" >= 4 + AND "date_dim_3"."d_year" = 1998 + AND "store_returns"."sr_returned_date_sk" = "date_dim_3"."d_date_sk" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "store_sales"."ss_item_sk" +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 "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2000 + AND "web_returns"."wr_returned_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address" AS "customer_address" + ON "web_returns"."wr_returning_addr_sk" = "customer_address"."ca_address_sk" + 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 "ctr1"."ctr_state" = "_u_0"."_u_1" +JOIN "customer" AS "customer" + ON "ctr1"."ctr_customer_sk" = "customer"."c_customer_sk" +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + AND "customer_address"."ca_state" = 'IN' +WHERE + "ctr1"."ctr_total_return" > "_u_0"."_col_0" +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 +-------------------------------------- +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 "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" +), "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" +), "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 "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_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 "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "web_sales"."ws_bill_addr_sk" = "customer_address"."ca_address_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 "ws2" + ON "ws2"."d_qoy" = 2 AND "ws2"."d_year" = 2001 +JOIN "ws" AS "ws1" + ON "ss1"."ca_county" = "ws1"."ca_county" + AND "ws1"."ca_county" = "ws2"."ca_county" + AND "ws1"."d_qoy" = 1 + AND "ws1"."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 +JOIN "ws" AS "ws3" + ON "ws1"."ca_county" = "ws3"."ca_county" AND "ws3"."d_qoy" = 3 AND "ws3"."d_year" = 2001 +JOIN "ss" AS "ss3" + ON "ss2"."ca_county" = "ss3"."ca_county" + AND "ss3"."d_qoy" = 3 + AND "ss3"."d_year" = 2001 + 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 +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 "date_dim"."d_date_sk" = "catalog_sales"."cs_sold_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 "item" AS "item" + ON "item"."i_item_sk" = "catalog_sales"."cs_item_sk" AND "item"."i_manufact_id" = 610 +LEFT JOIN "_u_0" AS "_u_0" + ON "_u_0"."_u_1" = "item"."i_item_sk" +JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "catalog_sales"."cs_sold_date_sk" +WHERE + "catalog_sales"."cs_ext_discount_amt" > "_u_0"."_col_0" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 33 +-------------------------------------- +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 "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" +), "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 +), "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 +), "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 "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_0" + ON "item"."i_manufact_id" = "_u_0"."i_manufact_id" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + 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 "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_1" + ON "item"."i_manufact_id" = "_u_1"."i_manufact_id" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "catalog_sales"."cs_bill_addr_sk" = "customer_address"."ca_address_sk" + 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 "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_2" + ON "item"."i_manufact_id" = "_u_2"."i_manufact_id" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "web_sales"."ws_bill_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_2"."i_manufact_id" IS NULL + GROUP BY + "item"."i_manufact_id" +), "cte_4" AS ( + SELECT + "cs"."i_manufact_id" AS "i_manufact_id", + "cs"."total_sales" AS "total_sales" + FROM "cs" + UNION ALL + SELECT + "ws"."i_manufact_id" AS "i_manufact_id", + "ws"."total_sales" AS "total_sales" + FROM "ws" +), "tmp1" AS ( + SELECT + "ss"."i_manufact_id" AS "i_manufact_id", + "ss"."total_sales" AS "total_sales" + FROM "ss" + UNION ALL + SELECT + "cte_4"."i_manufact_id" AS "i_manufact_id", + "cte_4"."total_sales" AS "total_sales" + FROM "cte_4" AS "cte_4" +) +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 +-------------------------------------- +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_year" IN (1999, 2000, 2001) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + 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 "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_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "household_demographics" AS "household_demographics" + ON ( + "household_demographics"."hd_buy_potential" = '>10000' + OR "household_demographics"."hd_buy_potential" = 'unknown' + ) + AND "household_demographics"."hd_vehicle_count" > 0 + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + 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 + 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 "dn"."ss_customer_sk" = "customer"."c_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 +-------------------------------------- +SELECT ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + Count(*) cnt1, + Stddev_samp(cd_dep_count), + Avg(cd_dep_count), + Max(cd_dep_count), + cd_dep_employed_count, + Count(*) cnt2, + Stddev_samp(cd_dep_employed_count), + Avg(cd_dep_employed_count), + Max(cd_dep_employed_count), + cd_dep_college_count, + Count(*) cnt3, + Stddev_samp(cd_dep_college_count), + Avg(cd_dep_college_count), + Max(cd_dep_college_count) +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 "store_sales"."ss_sold_date_sk" = "date_dim"."d_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 "web_sales"."ws_sold_date_sk" = "date_dim"."d_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_address"."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 "customer" +LEFT JOIN "_u_0" AS "_u_0" + ON "customer"."c_customer_sk" = "_u_0"."_u_1" +LEFT JOIN "_u_2" AS "_u_2" + ON "customer"."c_customer_sk" = "_u_2"."_u_3" +LEFT JOIN "_u_4" AS "_u_4" + ON "customer"."c_customer_sk" = "_u_4"."_u_5" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_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_address"."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 "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', '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 "item"."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 "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) +JOIN "catalog_sales" AS "catalog_sales" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" +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 +-------------------------------------- +SELECT Count(*) +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 "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 +), "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" +), "cte" 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 "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" +), "cte_2" 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 "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 "customer_2" AS "customer" + ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk" +), "cte_3" 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 "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "web_sales"."ws_bill_customer_sk" = "customer"."c_customer_sk" +), "cte_4" AS ( + SELECT + "cte_2"."c_last_name" AS "c_last_name", + "cte_2"."c_first_name" AS "c_first_name", + "cte_2"."d_date" AS "d_date" + FROM "cte_2" AS "cte_2" + INTERSECT + SELECT + "cte_3"."c_last_name" AS "c_last_name", + "cte_3"."c_first_name" AS "c_first_name", + "cte_3"."d_date" AS "d_date" + FROM "cte_3" AS "cte_3" +), "hot_cust" AS ( + SELECT + "cte"."c_last_name" AS "c_last_name", + "cte"."c_first_name" AS "c_first_name", + "cte"."d_date" AS "d_date" + FROM "cte" AS "cte" + INTERSECT + SELECT + "cte_4"."c_last_name" AS "c_last_name", + "cte_4"."c_first_name" AS "c_first_name", + "cte_4"."d_date" AS "d_date" + FROM "cte_4" AS "cte_4" +) +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 "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" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2002 AND "inventory"."inv_date_sk" = "date_dim"."d_date_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 "foo"."mean" WHEN 0 THEN NULL ELSE "foo"."stdev" / "foo"."mean" END AS "cov" + FROM "foo" AS "foo" + WHERE + CASE "foo"."mean" WHEN 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_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_order_number" +JOIN "warehouse" AS "warehouse" + ON "catalog_sales"."cs_warehouse_sk" = "warehouse"."w_warehouse_sk" +JOIN "item" AS "item" + ON "item"."i_current_price" <= 1.49 + AND "item"."i_current_price" >= 0.99 + AND "item"."i_item_sk" = "catalog_sales"."cs_item_sk" +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) +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 "_col_0" +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 + ( + "item"."i_manufact" = "i1"."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 ( + "item"."i_manufact" = "i1"."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 +-------------------------------------- +SELECT dt.d_year, + item.i_category_id, + item.i_category, + Sum(ss_ext_sales_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 = 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 + "date_dim"."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 "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_manager_id" = 1 AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +WHERE + "date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 2000 +GROUP BY + "date_dim"."d_year", + "item"."i_category_id", + "item"."i_category" +ORDER BY + SUM("store_sales"."ss_ext_sales_price") DESC, + "date_dim"."d_year", + "item"."i_category_id", + "item"."i_category" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 43 +-------------------------------------- +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 + AVG("ss1"."ss_net_profit") > 0.9 * MAX("_u_0"."rank_col") +), "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 + AVG("ss1"."ss_net_profit") > 0.9 * MAX("_u_1"."rank_col") +), "v21" AS ( + SELECT + "v2"."item_sk" AS "item_sk", + RANK() OVER (ORDER BY "v2"."rank_col" DESC) AS "rnk" + FROM "v2" AS "v2" +), "i1" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_product_name" AS "i_product_name" + FROM "item" AS "item" +) +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 "i1" AS "i1" + ON "i1"."i_item_sk" = "v11"."item_sk" +JOIN "i1" AS "i2" + ON "i2"."i_item_sk" = "v21"."item_sk" +WHERE + "v11"."rnk" < 11 +ORDER BY + "v11"."rnk" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 45 +-------------------------------------- +SELECT ca_zip, + ca_state, + Sum(ws_sales_price) +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 ( Substr(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 "item" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" +LEFT JOIN "_u_0" AS "_u_0" + ON "item"."i_item_id" = "_u_0"."i_item_id" +JOIN "customer" AS "customer" + ON "web_sales"."ws_bill_customer_sk" = "customer"."c_customer_sk" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_qoy" = 1 + AND "date_dim"."d_year" = 2000 + AND "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" +WHERE + NOT "_u_0"."i_item_id" IS NULL + OR SUBSTR("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 +-------------------------------------- +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 "customer_address_2" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_city" AS "ca_city" + FROM "customer_address" AS "customer_address" +), "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 "date_dim" AS "date_dim" + ON "date_dim"."d_dow" IN (6, 0) + AND "date_dim"."d_year" IN (2000, 2001, 2002) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store"."s_city" IN ('Midway', 'Fairview', 'Fairview', 'Fairview', 'Fairview') + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "household_demographics" AS "household_demographics" + ON ( + "household_demographics"."hd_dep_count" = 6 + OR "household_demographics"."hd_vehicle_count" = 0 + ) + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_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_address_2" AS "current_addr" + ON "current_addr"."ca_city" <> "dn"."bought_city" +JOIN "customer" AS "customer" + ON "customer"."c_current_addr_sk" = "current_addr"."ca_address_sk" + AND "dn"."ss_customer_sk" = "customer"."c_customer_sk" +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 "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim" AS "date_dim" + ON ( + "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 + ) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_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" +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", + "v1"."d_moy" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 48 +-------------------------------------- +SELECT Sum (ss_quantity) +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 "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +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 "customer_address" AS "customer_address" + ON ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('CO', 'TN', 'ND') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 3000 + AND "store_sales"."ss_net_profit" >= 150 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('OK', 'PA', 'CA') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 25000 + AND "store_sales"."ss_net_profit" >= 50 + ) + OR ( + "customer_address"."ca_country" = 'United States' + AND "customer_address"."ca_state" IN ('TX', 'NE', 'MO') + AND "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + AND "store_sales"."ss_net_profit" <= 2000 + AND "store_sales"."ss_net_profit" >= 0 + ) +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 1999 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_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 + "web_sales"."ws_item_sk" AS "item", + CAST(SUM(COALESCE("web_returns"."wr_return_quantity", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("web_sales"."ws_quantity", 0)) AS DECIMAL(15, 4)) AS "return_ratio", + CAST(SUM(COALESCE("web_returns"."wr_return_amt", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("web_sales"."ws_net_paid", 0)) AS DECIMAL(15, 4)) AS "currency_ratio" + FROM "web_sales" AS "web_sales" + LEFT JOIN "web_returns" AS "web_returns" + ON "web_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + AND "web_sales"."ws_order_number" = "web_returns"."wr_order_number" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "web_returns"."wr_return_amt" > 10000 + AND "web_sales"."ws_net_paid" > 0 + AND "web_sales"."ws_net_profit" > 1 + AND "web_sales"."ws_quantity" > 0 + GROUP BY + "web_sales"."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 + "catalog_sales"."cs_item_sk" AS "item", + CAST(SUM(COALESCE("catalog_returns"."cr_return_quantity", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("catalog_sales"."cs_quantity", 0)) AS DECIMAL(15, 4)) AS "return_ratio", + CAST(SUM(COALESCE("catalog_returns"."cr_return_amount", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("catalog_sales"."cs_net_paid", 0)) AS DECIMAL(15, 4)) AS "currency_ratio" + FROM "catalog_sales" AS "catalog_sales" + LEFT JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_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_return_amount" > 10000 + AND "catalog_sales"."cs_net_paid" > 0 + AND "catalog_sales"."cs_net_profit" > 1 + AND "catalog_sales"."cs_quantity" > 0 + GROUP BY + "catalog_sales"."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 + "store_sales"."ss_item_sk" AS "item", + CAST(SUM(COALESCE("store_returns"."sr_return_quantity", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("store_sales"."ss_quantity", 0)) AS DECIMAL(15, 4)) AS "return_ratio", + CAST(SUM(COALESCE("store_returns"."sr_return_amt", 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE("store_sales"."ss_net_paid", 0)) AS DECIMAL(15, 4)) AS "currency_ratio" + FROM "store_sales" AS "store_sales" + LEFT JOIN "store_returns" AS "store_returns" + ON "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "store_returns"."sr_return_amt" > 10000 + AND "store_sales"."ss_net_paid" > 0 + AND "store_sales"."ss_net_profit" > 1 + AND "store_sales"."ss_quantity" > 0 + GROUP BY + "store_sales"."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" +), "cte_3" AS ( + 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 + 'store', + "store"."return_rank", + "store"."currency_rank" + LIMIT 100 +), "cte_4" AS ( + 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 + "cte_3"."channel" AS "channel", + "cte_3"."item" AS "item", + "cte_3"."return_ratio" AS "return_ratio", + "cte_3"."return_rank" AS "return_rank", + "cte_3"."currency_rank" AS "currency_rank" + FROM "cte_3" AS "cte_3" +) +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 + "cte_4"."channel" AS "channel", + "cte_4"."item" AS "item", + "cte_4"."return_ratio" AS "return_ratio", + "cte_4"."return_rank" AS "return_rank", + "cte_4"."currency_rank" AS "currency_rank" +FROM "cte_4" AS "cte_4"; + +-------------------------------------- +-- TPC-DS 50 +-------------------------------------- +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 "store_returns" AS "store_returns" + ON "store_sales"."ss_customer_sk" = "store_returns"."sr_customer_sk" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" +JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" +JOIN "date_dim" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "date_dim" AS "date_dim_2" + ON "date_dim_2"."d_moy" = 9 + AND "date_dim_2"."d_year" = 2002 + AND "store_returns"."sr_returned_date_sk" = "date_dim_2"."d_date_sk" +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 "web_sales"."ws_sold_date_sk" = "date_dim"."d_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 "store_sales"."ss_sold_date_sk" = "date_dim"."d_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 "web"."d_date" = "store"."d_date" AND "web"."item_sk" = "store"."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"."web_cumulative" > "y"."store_cumulative" +ORDER BY + "y"."item_sk", + "y"."d_date" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 52 +-------------------------------------- +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 + "date_dim"."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 "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_manager_id" = 1 AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +WHERE + "date_dim"."d_moy" = 11 AND "date_dim"."d_year" = 1999 +GROUP BY + "date_dim"."d_year", + "item"."i_brand", + "item"."i_brand_id" +ORDER BY + "date_dim"."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 "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" IN (1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_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_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 +-------------------------------------- +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 "item" AS "item" + ON "cs_or_ws_sales"."item_sk" = "item"."i_item_sk" + AND "item"."i_category" = 'Sports' + AND "item"."i_class" = 'fitness' + 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 "customer" AS "customer" + ON "customer"."c_customer_sk" = "cs_or_ws_sales"."customer_sk" +), "_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" + CROSS JOIN "date_dim" AS "date_dim" + JOIN "_u_0" AS "_u_0" + ON "date_dim"."d_month_seq" >= "_u_0"."_col_0" + JOIN "_u_1" AS "_u_1" + ON "date_dim"."d_month_seq" <= "_u_1"."_col_0" + JOIN "store_sales" AS "store_sales" + ON "my_customers"."c_customer_sk" = "store_sales"."ss_customer_sk" + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address" AS "customer_address" + ON "my_customers"."c_current_addr_sk" = "customer_address"."ca_address_sk" + JOIN "store" AS "store" + ON "customer_address"."ca_county" = "store"."s_county" + AND "customer_address"."ca_state" = "store"."s_state" + 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" +GROUP BY + CAST(( + "my_revenue"."revenue" / 50 + ) AS INT) +ORDER BY + "segment", + "num_customers" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 55 +-------------------------------------- +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_manager_id" = 33 AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +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, + "item"."i_brand_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 56 +-------------------------------------- +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 "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" +), "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 +), "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 +), "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 "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_0" + ON "item"."i_item_id" = "_u_0"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + 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 "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_1" + ON "item"."i_item_id" = "_u_1"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "catalog_sales"."cs_bill_addr_sk" = "customer_address"."ca_address_sk" + 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 "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_2" + ON "item"."i_item_id" = "_u_2"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "web_sales"."ws_bill_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_2"."i_item_id" IS NULL + GROUP BY + "item"."i_item_id" +), "cte_4" AS ( + SELECT + "cs"."i_item_id" AS "i_item_id", + "cs"."total_sales" AS "total_sales" + FROM "cs" + UNION ALL + SELECT + "ws"."i_item_id" AS "i_item_id", + "ws"."total_sales" AS "total_sales" + FROM "ws" +), "tmp1" AS ( + SELECT + "ss"."i_item_id" AS "i_item_id", + "ss"."total_sales" AS "total_sales" + FROM "ss" + UNION ALL + SELECT + "cte_4"."i_item_id" AS "i_item_id", + "cte_4"."total_sales" AS "total_sales" + FROM "cte_4" AS "cte_4" +) +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 "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 + ) + JOIN "call_center" AS "call_center" + ON "call_center"."cc_call_center_sk" = "catalog_sales"."cs_call_center_sk" + 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" +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", + "v1"."avg_monthly_sales" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 59 +-------------------------------------- +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, + mon_sales1 / mon_sales2, + tue_sales1 / tue_sales2, + wed_sales1 / wed_sales2, + thu_sales1 / thu_sales2, + fri_sales1 / fri_sales2, + sat_sales1 / sat_sales2 +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", "store" AS "store", "date_dim" AS "date_dim" + WHERE + "date_dim"."d_month_seq" <= 1219 + AND "date_dim"."d_month_seq" >= 1208 + AND "date_dim"."d_week_seq" = "wss"."d_week_seq" + AND "wss"."ss_store_sk" = "store"."s_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" +JOIN "store" AS "store" + ON "wss"."ss_store_sk" = "store"."s_store_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" <= 1207 + AND "date_dim"."d_month_seq" >= 1196 + AND "date_dim"."d_week_seq" = "wss"."d_week_seq" +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 +-------------------------------------- +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 "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" +), "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 +), "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 +), "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 "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_0" + ON "item"."i_item_id" = "_u_0"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_sk" + 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 "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_1" + ON "item"."i_item_id" = "_u_1"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "catalog_sales"."cs_bill_addr_sk" = "customer_address"."ca_address_sk" + 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 "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + LEFT JOIN "_u_0" AS "_u_2" + ON "item"."i_item_id" = "_u_2"."i_item_id" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_address_2" AS "customer_address" + ON "web_sales"."ws_bill_addr_sk" = "customer_address"."ca_address_sk" + WHERE + NOT "_u_2"."i_item_id" IS NULL + GROUP BY + "item"."i_item_id" +), "cte_4" AS ( + SELECT + "cs"."i_item_id" AS "i_item_id", + "cs"."total_sales" AS "total_sales" + FROM "cs" + UNION ALL + SELECT + "ws"."i_item_id" AS "i_item_id", + "ws"."total_sales" AS "total_sales" + FROM "ws" +), "tmp1" AS ( + SELECT + "ss"."i_item_id" AS "i_item_id", + "ss"."total_sales" AS "total_sales" + FROM "ss" + UNION ALL + SELECT + "cte_4"."i_item_id" AS "i_item_id", + "cte_4"."total_sales" AS "total_sales" + FROM "cte_4" AS "cte_4" +) +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 "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 +), "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 +), "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" +), "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 +), "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' +), "promotional_sales" AS ( + SELECT + SUM("store_sales"."ss_ext_sales_price") AS "promotions" + FROM "store_sales" AS "store_sales" + JOIN "store_2" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "promotion" AS "promotion" + ON ( + "promotion"."p_channel_dmail" = 'Y' + OR "promotion"."p_channel_email" = 'Y' + OR "promotion"."p_channel_tv" = 'Y' + ) + AND "store_sales"."ss_promo_sk" = "promotion"."p_promo_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + JOIN "customer_address_2" AS "customer_address" + ON "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" +), "all_sales" AS ( + SELECT + SUM("store_sales"."ss_ext_sales_price") AS "total" + FROM "store_sales" AS "store_sales", "store_2" AS "store", "date_dim_2" AS "date_dim", "customer_2" AS "customer", "customer_address_2" AS "customer_address", "item_2" AS "item" + WHERE + "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + AND "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + AND "store_sales"."ss_item_sk" = "item"."i_item_sk" + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_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 +-------------------------------------- +SELECT Substr(w_warehouse_name, 1, 20), + 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 Substr(w_warehouse_name, 1, 20), + sm_type, + web_name +ORDER BY Substr(w_warehouse_name, 1, 20), + sm_type, + web_name +LIMIT 100; +SELECT + SUBSTR("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 "warehouse" AS "warehouse" + ON "web_sales"."ws_warehouse_sk" = "warehouse"."w_warehouse_sk" +JOIN "ship_mode" AS "ship_mode" + ON "web_sales"."ws_ship_mode_sk" = "ship_mode"."sm_ship_mode_sk" +JOIN "web_site" AS "web_site" + ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" <= 1233 + AND "date_dim"."d_month_seq" >= 1222 + AND "web_sales"."ws_ship_date_sk" = "date_dim"."d_date_sk" +GROUP BY + SUBSTR("warehouse"."w_warehouse_name", 1, 20), + "ship_mode"."sm_type", + "web_site"."web_name" +ORDER BY + SUBSTR("warehouse"."w_warehouse_name", 1, 20), + "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 "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_month_seq" IN (1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_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_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_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_order_number" + GROUP BY + "catalog_sales"."cs_item_sk" + HAVING + SUM("catalog_sales"."cs_ext_list_price") > 2 * SUM( + "catalog_returns"."cr_refunded_cash" + "catalog_returns"."cr_reversed_charge" + "catalog_returns"."cr_store_credit" + ) +), "d1" AS ( + SELECT + "date_dim"."d_date_sk" AS "d_date_sk", + "date_dim"."d_year" AS "d_year" + FROM "date_dim" AS "date_dim" +), "ib2" AS ( + SELECT + "income_band"."ib_income_band_sk" AS "ib_income_band_sk" + FROM "income_band" AS "income_band" +), "hd2" AS ( + SELECT + "household_demographics"."hd_demo_sk" AS "hd_demo_sk", + "household_demographics"."hd_income_band_sk" AS "hd_income_band_sk" + FROM "household_demographics" AS "household_demographics" +), "cd1" AS ( + SELECT + "customer_demographics"."cd_demo_sk" AS "cd_demo_sk", + "customer_demographics"."cd_marital_status" AS "cd_marital_status" + FROM "customer_demographics" AS "customer_demographics" +), "ad1" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_street_number" AS "ca_street_number", + "customer_address"."ca_street_name" AS "ca_street_name", + "customer_address"."ca_city" AS "ca_city", + "customer_address"."ca_zip" AS "ca_zip" + FROM "customer_address" AS "customer_address" +), "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 "store_returns" AS "store_returns" + ON "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" + JOIN "cs_ui" + ON "store_sales"."ss_item_sk" = "cs_ui"."cs_item_sk" + JOIN "d1" AS "d1" + ON "store_sales"."ss_sold_date_sk" = "d1"."d_date_sk" + CROSS JOIN "ib2" AS "ib2" + JOIN "hd2" AS "hd2" + ON "hd2"."hd_income_band_sk" = "ib2"."ib_income_band_sk" + JOIN "customer" AS "customer" + ON "customer"."c_current_hdemo_sk" = "hd2"."hd_demo_sk" + AND "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" + JOIN "d1" AS "d2" + ON "customer"."c_first_sales_date_sk" = "d2"."d_date_sk" + JOIN "d1" AS "d3" + ON "customer"."c_first_shipto_date_sk" = "d3"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "cd1" AS "cd1" + ON "store_sales"."ss_cdemo_sk" = "cd1"."cd_demo_sk" + JOIN "cd1" AS "cd2" + ON "cd1"."cd_marital_status" <> "cd2"."cd_marital_status" + AND "customer"."c_current_cdemo_sk" = "cd2"."cd_demo_sk" + JOIN "promotion" AS "promotion" + ON "store_sales"."ss_promo_sk" = "promotion"."p_promo_sk" + JOIN "hd2" AS "hd1" + ON "store_sales"."ss_hdemo_sk" = "hd1"."hd_demo_sk" + JOIN "ad1" AS "ad1" + ON "store_sales"."ss_addr_sk" = "ad1"."ca_address_sk" + JOIN "ad1" AS "ad2" + ON "customer"."c_current_addr_sk" = "ad2"."ca_address_sk" + JOIN "ib2" AS "ib1" + ON "hd1"."hd_income_band_sk" = "ib1"."ib_income_band_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 "store_sales"."ss_item_sk" = "item"."i_item_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"."item_sk" = "cs2"."item_sk" + AND "cs1"."store_name" = "cs2"."store_name" + AND "cs1"."store_zip" = "cs2"."store_zip" + AND "cs2"."cnt" <= "cs1"."cnt" + AND "cs2"."syear" = 2002 +WHERE + "cs1"."syear" = 2001 +ORDER BY + "cs1"."product_name", + "cs1"."store_name", + "cs2"."cnt"; + +-------------------------------------- +-- TPC-DS 66 +-------------------------------------- +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 "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" +), "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 +), "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 +), "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') +), "cte" 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 "warehouse_2" AS "warehouse" + ON "web_sales"."ws_warehouse_sk" = "warehouse"."w_warehouse_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "time_dim_2" AS "time_dim" + ON "web_sales"."ws_sold_time_sk" = "time_dim"."t_time_sk" + JOIN "ship_mode_2" AS "ship_mode" + ON "web_sales"."ws_ship_mode_sk" = "ship_mode"."sm_ship_mode_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" +), "cte_2" 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 "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 "warehouse_2" AS "warehouse" + ON "catalog_sales"."cs_warehouse_sk" = "warehouse"."w_warehouse_sk" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "time_dim_2" AS "time_dim" + ON "catalog_sales"."cs_sold_time_sk" = "time_dim"."t_time_sk" + JOIN "ship_mode_2" AS "ship_mode" + ON "catalog_sales"."cs_ship_mode_sk" = "ship_mode"."sm_ship_mode_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" +), "x" AS ( + SELECT + "cte"."w_warehouse_name" AS "w_warehouse_name", + "cte"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft", + "cte"."w_city" AS "w_city", + "cte"."w_county" AS "w_county", + "cte"."w_state" AS "w_state", + "cte"."w_country" AS "w_country", + "cte"."ship_carriers" AS "ship_carriers", + "cte"."year1" AS "year1", + "cte"."jan_sales" AS "jan_sales", + "cte"."feb_sales" AS "feb_sales", + "cte"."mar_sales" AS "mar_sales", + "cte"."apr_sales" AS "apr_sales", + "cte"."may_sales" AS "may_sales", + "cte"."jun_sales" AS "jun_sales", + "cte"."jul_sales" AS "jul_sales", + "cte"."aug_sales" AS "aug_sales", + "cte"."sep_sales" AS "sep_sales", + "cte"."oct_sales" AS "oct_sales", + "cte"."nov_sales" AS "nov_sales", + "cte"."dec_sales" AS "dec_sales", + "cte"."jan_net" AS "jan_net", + "cte"."feb_net" AS "feb_net", + "cte"."mar_net" AS "mar_net", + "cte"."apr_net" AS "apr_net", + "cte"."may_net" AS "may_net", + "cte"."jun_net" AS "jun_net", + "cte"."jul_net" AS "jul_net", + "cte"."aug_net" AS "aug_net", + "cte"."sep_net" AS "sep_net", + "cte"."oct_net" AS "oct_net", + "cte"."nov_net" AS "nov_net", + "cte"."dec_net" AS "dec_net" + FROM "cte" AS "cte" + UNION ALL + SELECT + "cte_2"."w_warehouse_name" AS "w_warehouse_name", + "cte_2"."w_warehouse_sq_ft" AS "w_warehouse_sq_ft", + "cte_2"."w_city" AS "w_city", + "cte_2"."w_county" AS "w_county", + "cte_2"."w_state" AS "w_state", + "cte_2"."w_country" AS "w_country", + "cte_2"."ship_carriers" AS "ship_carriers", + "cte_2"."year1" AS "year1", + "cte_2"."jan_sales" AS "jan_sales", + "cte_2"."feb_sales" AS "feb_sales", + "cte_2"."mar_sales" AS "mar_sales", + "cte_2"."apr_sales" AS "apr_sales", + "cte_2"."may_sales" AS "may_sales", + "cte_2"."jun_sales" AS "jun_sales", + "cte_2"."jul_sales" AS "jul_sales", + "cte_2"."aug_sales" AS "aug_sales", + "cte_2"."sep_sales" AS "sep_sales", + "cte_2"."oct_sales" AS "oct_sales", + "cte_2"."nov_sales" AS "nov_sales", + "cte_2"."dec_sales" AS "dec_sales", + "cte_2"."jan_net" AS "jan_net", + "cte_2"."feb_net" AS "feb_net", + "cte_2"."mar_net" AS "mar_net", + "cte_2"."apr_net" AS "apr_net", + "cte_2"."may_net" AS "may_net", + "cte_2"."jun_net" AS "jun_net", + "cte_2"."jul_net" AS "jul_net", + "cte_2"."aug_net" AS "aug_net", + "cte_2"."sep_net" AS "sep_net", + "cte_2"."oct_net" AS "oct_net", + "cte_2"."nov_net" AS "nov_net", + "cte_2"."dec_net" AS "dec_net" + FROM "cte_2" AS "cte_2" +) +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_month_seq" <= 1192 + AND "date_dim"."d_month_seq" >= 1181 + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "item" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_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 +-------------------------------------- +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 "customer_address_2" AS ( + SELECT + "customer_address"."ca_address_sk" AS "ca_address_sk", + "customer_address"."ca_city" AS "ca_city" + FROM "customer_address" AS "customer_address" +), "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 "date_dim" AS "date_dim" + ON "date_dim"."d_dom" <= 2 + AND "date_dim"."d_dom" >= 1 + AND "date_dim"."d_year" IN (1998, 1999, 2000) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store"."s_city" IN ('Fairview', 'Midway') + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "household_demographics" AS "household_demographics" + ON ( + "household_demographics"."hd_dep_count" = 8 + OR "household_demographics"."hd_vehicle_count" = 3 + ) + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + JOIN "customer_address_2" AS "customer_address" + ON "store_sales"."ss_addr_sk" = "customer_address"."ca_address_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_address_2" AS "current_addr" + ON "current_addr"."ca_city" <> "dn"."bought_city" +JOIN "customer" AS "customer" + ON "customer"."c_current_addr_sk" = "current_addr"."ca_address_sk" + AND "dn"."ss_customer_sk" = "customer"."c_customer_sk" +ORDER BY + "c_last_name", + "ss_ticket_number" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 69 +-------------------------------------- +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 "store_sales"."ss_sold_date_sk" = "date_dim"."d_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 "web_sales"."ws_sold_date_sk" = "date_dim"."d_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 "customer" +LEFT JOIN "_u_0" AS "_u_0" + ON "customer"."c_customer_sk" = "_u_0"."_u_1" +LEFT JOIN "_u_2" AS "_u_2" + ON "customer"."c_customer_sk" = "_u_2"."_u_3" +LEFT JOIN "_u_4" AS "_u_4" + ON "customer"."c_customer_sk" = "_u_4"."_u_5" +JOIN "customer_address" AS "customer_address" + ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" + AND "customer_address"."ca_state" IN ('KS', 'AZ', 'NE') +JOIN "customer_demographics" AS "customer_demographics" + ON "customer_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_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" +), "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" <= 1211 AND "date_dim"."d_month_seq" >= 1200 +), "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 "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" + JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_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 "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" +LEFT JOIN "_u_0" AS "_u_0" + ON "store"."s_state" = "_u_0"."s_state" +JOIN "date_dim_2" AS "d1" + ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk" +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 "store"."s_state" END, + "rank_within_parent" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 71 +-------------------------------------- +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 +), "cte_4" AS ( + 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" + CROSS JOIN "date_dim_2" AS "date_dim" + WHERE + "date_dim"."d_date_sk" = "catalog_sales"."cs_sold_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" + CROSS JOIN "date_dim_2" AS "date_dim" + WHERE + "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" +), "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" + CROSS JOIN "date_dim_2" AS "date_dim" + WHERE + "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk" + UNION ALL + SELECT + "cte_4"."ext_price" AS "ext_price", + "cte_4"."sold_item_sk" AS "sold_item_sk", + "cte_4"."time_sk" AS "time_sk" + FROM "cte_4" AS "cte_4" +) +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 "tmp"."sold_item_sk" = "item"."i_item_sk" +JOIN "time_dim" AS "time_dim" + ON ( + "time_dim"."t_meal_time" = 'breakfast' OR "time_dim"."t_meal_time" = 'dinner' + ) + AND "tmp"."time_sk" = "time_dim"."t_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, + "item"."i_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", + "date_dim_2"."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" +JOIN "inventory" AS "inventory" + ON "catalog_sales"."cs_item_sk" = "inventory"."inv_item_sk" + AND "inventory"."inv_quantity_on_hand" < "catalog_sales"."cs_quantity" +JOIN "warehouse" AS "warehouse" + ON "warehouse"."w_warehouse_sk" = "inventory"."inv_warehouse_sk" +JOIN "item" AS "item" + ON "item"."i_item_sk" = "catalog_sales"."cs_item_sk" +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 "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 "date_dim" AS "date_dim" + ON "inventory"."inv_date_sk" = "date_dim"."d_date_sk" +JOIN "date_dim" AS "date_dim_2" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim_2"."d_date_sk" + AND "date_dim_2"."d_week_seq" = "date_dim"."d_week_seq" + AND "date_dim_2"."d_year" = 2002 +JOIN "date_dim" AS "date_dim_3" + ON "catalog_sales"."cs_ship_date_sk" = "date_dim_3"."d_date_sk" + AND "date_dim_3"."d_date" > CONCAT("date_dim_2"."d_date", INTERVAL '5' "day") +LEFT JOIN "promotion" AS "promotion" + ON "catalog_sales"."cs_promo_sk" = "promotion"."p_promo_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" +GROUP BY + "item"."i_item_desc", + "warehouse"."w_warehouse_name", + "date_dim_2"."d_week_seq" +ORDER BY + "total_cnt" DESC, + "i_item_desc", + "w_warehouse_name", + "d_week_seq" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 73 +-------------------------------------- +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_dom" <= 2 + AND "date_dim"."d_dom" >= 1 + AND "date_dim"."d_year" IN (2000, 2001, 2002) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store"."s_county" IN ('Williamson County', 'Williamson County', 'Williamson County', 'Williamson County') + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + 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_vehicle_count" > 0 + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND CASE + WHEN "household_demographics"."hd_vehicle_count" > 0 + THEN "household_demographics"."hd_dep_count" / "household_demographics"."hd_vehicle_count" + ELSE NULL + END > 1 + 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 "dj"."ss_customer_sk" = "customer"."c_customer_sk" +WHERE + "dj"."cnt" <= 5 AND "dj"."cnt" >= 1 +ORDER BY + "cnt" DESC, + "c_last_name"; + +-------------------------------------- +-- TPC-DS 74 +-------------------------------------- +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) +), "cte" 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 "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_id", + "customer"."c_first_name", + "customer"."c_last_name", + "date_dim"."d_year" +), "cte_2" 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("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 "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + GROUP BY + "customer"."c_customer_id", + "customer"."c_first_name", + "customer"."c_last_name", + "date_dim"."d_year" +), "year_total" AS ( + SELECT + "cte"."customer_id" AS "customer_id", + "cte"."customer_first_name" AS "customer_first_name", + "cte"."customer_last_name" AS "customer_last_name", + "cte"."year1" AS "year1", + "cte"."year_total" AS "year_total", + "cte"."sale_type" AS "sale_type" + FROM "cte" AS "cte" + UNION ALL + SELECT + "cte_2"."customer_id" AS "customer_id", + "cte_2"."customer_first_name" AS "customer_first_name", + "cte_2"."customer_last_name" AS "customer_last_name", + "cte_2"."year1" AS "year1", + "cte_2"."year_total" AS "year_total", + "cte_2"."sale_type" AS "sale_type" + FROM "cte_2" AS "cte_2" +) +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_secyear"."customer_id" = "t_s_firstyear"."customer_id" + AND "t_s_secyear"."sale_type" = 's' + AND "t_s_secyear"."year1" = 2000 +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 +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 + 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 +WHERE + "t_s_firstyear"."sale_type" = 's' + AND "t_s_firstyear"."year1" = 1999 + 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" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 75 +-------------------------------------- +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 "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' +), "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" +), "cte_4" 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", + "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 "item_2" AS "item" + ON "item"."i_item_sk" = "store_sales"."ss_item_sk" + 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_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_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 "item_2" AS "item" + ON "item"."i_item_sk" = "web_sales"."ws_item_sk" + 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_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + AND "web_sales"."ws_order_number" = "web_returns"."wr_order_number" +), "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" + JOIN "item_2" AS "item" + ON "item"."i_item_sk" = "catalog_sales"."cs_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "catalog_sales"."cs_sold_date_sk" + LEFT JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_order_number" + UNION + SELECT + "cte_4"."d_year" AS "d_year", + "cte_4"."i_brand_id" AS "i_brand_id", + "cte_4"."i_class_id" AS "i_class_id", + "cte_4"."i_category_id" AS "i_category_id", + "cte_4"."i_manufact_id" AS "i_manufact_id", + "cte_4"."sales_cnt" AS "sales_cnt", + "cte_4"."sales_amt" AS "sales_amt" + FROM "cte_4" AS "cte_4" +), "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 +-------------------------------------- +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 "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_category" AS "i_category" + FROM "item" AS "item" +), "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" +), "cte_4" AS ( + 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 "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_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 "item_2" AS "item" + ON "catalog_sales"."cs_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "catalog_sales"."cs_warehouse_sk" IS NULL +), "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 "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + WHERE + "store_sales"."ss_hdemo_sk" IS NULL + UNION ALL + SELECT + "cte_4"."channel" AS "channel", + "cte_4"."col_name" AS "col_name", + "cte_4"."d_year" AS "d_year", + "cte_4"."d_qoy" AS "d_qoy", + "cte_4"."i_category" AS "i_category", + "cte_4"."ext_sales_price" AS "ext_sales_price" + FROM "cte_4" AS "cte_4" +) +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 "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store_2" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_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 "store_returns"."sr_returned_date_sk" = "date_dim"."d_date_sk" + JOIN "store_2" AS "store" + ON "store_returns"."sr_store_sk" = "store"."s_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 "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "web_page_2" AS "web_page" + ON "web_sales"."ws_web_page_sk" = "web_page"."wp_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 "web_returns"."wr_returned_date_sk" = "date_dim"."d_date_sk" + JOIN "web_page_2" AS "web_page" + ON "web_returns"."wr_web_page_sk" = "web_page"."wp_web_page_sk" + GROUP BY + "web_page"."wp_web_page_sk" +), "cte_4" AS ( + 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" + CROSS JOIN "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" + LEFT JOIN "wr" + ON "ws"."wp_web_page_sk" = "wr"."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" + LEFT JOIN "sr" + ON "ss"."s_store_sk" = "sr"."s_store_sk" + UNION ALL + SELECT + "cte_4"."channel" AS "channel", + "cte_4"."id" AS "id", + "cte_4"."sales" AS "sales", + "cte_4"."returns1" AS "returns1", + "cte_4"."profit" AS "profit" + FROM "cte_4" AS "cte_4" +) +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 +-------------------------------------- +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" + LEFT JOIN "web_returns" AS "web_returns" + ON "web_returns"."wr_order_number" = "web_sales"."ws_order_number" + AND "web_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + 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_order_number" = "catalog_sales"."cs_order_number" + AND "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + 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" + LEFT JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number" + AND "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + 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" +LEFT JOIN "ws" + ON "ws"."ws_customer_sk" = "ss"."ss_customer_sk" + AND "ws"."ws_item_sk" = "ss"."ss_item_sk" + AND "ws"."ws_sold_year" = "ss"."ss_sold_year" +LEFT JOIN "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" +WHERE + "ss"."ss_sold_year" = 1999 + AND COALESCE("cs"."cs_qty", 0) > 0 + AND COALESCE("ws"."ws_qty", 0) > 0 +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 +-------------------------------------- +SELECT c_last_name, + c_first_name, + Substr(s_city, 1, 30), + 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, + Substr(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_dow" = 1 + AND "date_dim"."d_year" IN (2000, 2001, 2002) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store"."s_number_employees" <= 295 + AND "store"."s_number_employees" >= 200 + AND "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "household_demographics" AS "household_demographics" + ON ( + "household_demographics"."hd_dep_count" = 8 + OR "household_demographics"."hd_vehicle_count" > 4 + ) + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_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", + SUBSTR("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 "ms"."ss_customer_sk" = "customer"."c_customer_sk" +ORDER BY + "c_last_name", + "c_first_name", + SUBSTR("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" + LEFT JOIN "store_returns" AS "store_returns" + ON "store_sales"."ss_item_sk" = "store_returns"."sr_item_sk" + AND "store_sales"."ss_ticket_number" = "store_returns"."sr_ticket_number" + JOIN "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" + JOIN "item_2" AS "item" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "promotion_2" AS "promotion" + ON "store_sales"."ss_promo_sk" = "promotion"."p_promo_sk" + 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" + LEFT JOIN "catalog_returns" AS "catalog_returns" + ON "catalog_sales"."cs_item_sk" = "catalog_returns"."cr_item_sk" + AND "catalog_sales"."cs_order_number" = "catalog_returns"."cr_order_number" + JOIN "date_dim_2" AS "date_dim" + ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "catalog_page" AS "catalog_page" + ON "catalog_sales"."cs_catalog_page_sk" = "catalog_page"."cp_catalog_page_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" + LEFT JOIN "web_returns" AS "web_returns" + ON "web_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + AND "web_sales"."ws_order_number" = "web_returns"."wr_order_number" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "web_site" AS "web_site" + ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk" + JOIN "item_2" AS "item" + ON "web_sales"."ws_item_sk" = "item"."i_item_sk" + JOIN "promotion_2" AS "promotion" + ON "web_sales"."ws_promo_sk" = "promotion"."p_promo_sk" + GROUP BY + "web_site"."web_site_id" +), "cte_4" AS ( + 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" + 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" +), "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" + UNION ALL + SELECT + "cte_4"."channel" AS "channel", + "cte_4"."id" AS "id", + "cte_4"."sales" AS "sales", + "cte_4"."returns1" AS "returns1", + "cte_4"."profit" AS "profit" + FROM "cte_4" AS "cte_4" +) +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 +-------------------------------------- + +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 "date_dim" AS "date_dim" + ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_year" = 1999 + JOIN "customer_address" AS "customer_address" + ON "catalog_returns"."cr_returning_addr_sk" = "customer_address"."ca_address_sk" + 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 "ctr1"."ctr_state" = "_u_0"."_u_1" +JOIN "customer" AS "customer" + ON "ctr1"."ctr_customer_sk" = "customer"."c_customer_sk" +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + AND "customer_address"."ca_state" = 'TX' +WHERE + "ctr1"."ctr_total_return" > "_u_0"."_col_0" +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 "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) +JOIN "store_sales" AS "store_sales" + ON "store_sales"."ss_item_sk" = "item"."i_item_sk" +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 +-------------------------------------- +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" +), "_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 "date_dim"."d_week_seq" = "_u_0"."d_week_seq" + WHERE + NOT "_u_0"."d_week_seq" IS NULL + GROUP BY + "date_dim"."d_date" +), "item_2" AS ( + SELECT + "item"."i_item_sk" AS "i_item_sk", + "item"."i_item_id" AS "i_item_id" + FROM "item" AS "item" +), "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 "store_returns"."sr_returned_date_sk" = "date_dim"."d_date_sk" + LEFT JOIN "_u_1" AS "_u_1" + ON "date_dim"."d_date" = "_u_1"."d_date" + JOIN "item_2" AS "item" + ON "store_returns"."sr_item_sk" = "item"."i_item_sk" + 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 "date_dim"."d_week_seq" = "_u_2"."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" + LEFT JOIN "_u_3" AS "_u_3" + ON "date_dim"."d_date" = "_u_3"."d_date" + JOIN "item_2" AS "item" + ON "catalog_returns"."cr_item_sk" = "item"."i_item_sk" + 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 "date_dim"."d_week_seq" = "_u_4"."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 "web_returns"."wr_returned_date_sk" = "date_dim"."d_date_sk" + LEFT JOIN "_u_5" AS "_u_5" + ON "date_dim"."d_date" = "_u_5"."d_date" + JOIN "item_2" AS "item" + ON "web_returns"."wr_item_sk" = "item"."i_item_sk" + 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" +JOIN "cr_items" + ON "sr_items"."item_id" = "cr_items"."item_id" +JOIN "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 +-------------------------------------- +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_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_sk" +JOIN "household_demographics" AS "household_demographics" + ON "household_demographics"."hd_demo_sk" = "customer"."c_current_hdemo_sk" +JOIN "income_band" AS "income_band" + ON "income_band"."ib_income_band_sk" = "household_demographics"."hd_income_band_sk" + AND "income_band"."ib_lower_bound" >= 54986 + AND "income_band"."ib_upper_bound" <= 104986 +JOIN "store_returns" AS "store_returns" + ON "store_returns"."sr_cdemo_sk" = "customer_demographics"."cd_demo_sk" +ORDER BY + "customer"."c_customer_id" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 85 +-------------------------------------- +SELECT Substr(r_reason_desc, 1, 20), + Avg(ws_quantity), + Avg(wr_refunded_cash), + Avg(wr_fee) +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 Substr(r_reason_desc, 1, 20), + Avg(ws_quantity), + Avg(wr_refunded_cash), + Avg(wr_fee) +LIMIT 100; +WITH "cd2" AS ( + SELECT + "customer_demographics"."cd_demo_sk" AS "cd_demo_sk", + "customer_demographics"."cd_marital_status" AS "cd_marital_status", + "customer_demographics"."cd_education_status" AS "cd_education_status" + FROM "customer_demographics" AS "customer_demographics" +) +SELECT + SUBSTR("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 "web_returns" AS "web_returns" + ON "web_sales"."ws_item_sk" = "web_returns"."wr_item_sk" + AND "web_sales"."ws_order_number" = "web_returns"."wr_order_number" +JOIN "web_page" AS "web_page" + ON "web_sales"."ws_web_page_sk" = "web_page"."wp_web_page_sk" +JOIN "cd2" AS "cd2" + ON "cd2"."cd_demo_sk" = "web_returns"."wr_returning_cdemo_sk" +JOIN "cd2" AS "cd1" + ON "cd1"."cd_demo_sk" = "web_returns"."wr_refunded_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 + ) + ) +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 "date_dim" AS "date_dim" + ON "date_dim"."d_year" = 2001 AND "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" +JOIN "reason" AS "reason" + ON "reason"."r_reason_sk" = "web_returns"."wr_reason_sk" +GROUP BY + "reason"."r_reason_desc" +ORDER BY + SUBSTR("reason"."r_reason_desc", 1, 20), + AVG("web_sales"."ws_quantity"), + AVG("web_returns"."wr_refunded_cash"), + AVG("web_returns"."wr_fee") +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 "date_dim" + ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk" + AND "date_dim"."d_month_seq" <= 1194 + AND "date_dim"."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 "item"."i_category" END, + "rank_within_parent" +LIMIT 100; + +-------------------------------------- +-- TPC-DS 87 +-------------------------------------- +select count(*) +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 "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 +), "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" +), "cte" 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 "date_dim_2" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "store_sales"."ss_customer_sk" = "customer"."c_customer_sk" +), "cte_2" 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 "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 "customer_2" AS "customer" + ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk" +), "cte_3" 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 "web_sales" AS "web_sales" + JOIN "date_dim_2" AS "date_dim" + ON "web_sales"."ws_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "customer_2" AS "customer" + ON "web_sales"."ws_bill_customer_sk" = "customer"."c_customer_sk" +), "cte_4" AS ( + ( + SELECT + "cte_2"."c_last_name" AS "c_last_name", + "cte_2"."c_first_name" AS "c_first_name", + "cte_2"."d_date" AS "d_date" + FROM "cte_2" AS "cte_2" + ) + EXCEPT + ( + SELECT + "cte_3"."c_last_name" AS "c_last_name", + "cte_3"."c_first_name" AS "c_first_name", + "cte_3"."d_date" AS "d_date" + FROM "cte_3" AS "cte_3" + ) +), "cool_cust" AS ( + ( + SELECT + "cte"."c_last_name" AS "c_last_name", + "cte"."c_first_name" AS "c_first_name", + "cte"."d_date" AS "d_date" + FROM "cte" AS "cte" + ) + EXCEPT + SELECT + "cte_4"."c_last_name" AS "c_last_name", + "cte_4"."c_first_name" AS "c_first_name", + "cte_4"."d_date" AS "d_date" + FROM "cte_4" AS "cte_4" +) +SELECT + COUNT(*) AS "_col_0" +FROM "cool_cust" AS "cool_cust"; + +-------------------------------------- +-- TPC-DS 88 +-------------------------------------- +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 "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_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 + JOIN "store_2" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_store_sk" +), "s2" AS ( + SELECT + COUNT(*) AS "h9_to_9_30" + FROM "store_sales_2" AS "store_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_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", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_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", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_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", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_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", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_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", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_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", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "store_2" AS "store" + WHERE + "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "store_sales"."ss_sold_time_sk" = "time_dim"."t_time_sk" + AND "store_sales"."ss_store_sk" = "store"."s_store_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 "store_sales"."ss_item_sk" = "item"."i_item_sk" + JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_year" IN (2002) + AND "store_sales"."ss_sold_date_sk" = "date_dim"."d_date_sk" + JOIN "store" AS "store" + ON "store_sales"."ss_store_sk" = "store"."s_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 "web_sales"."ws_ship_hdemo_sk" = "household_demographics"."hd_demo_sk" + JOIN "time_dim" AS "time_dim" + ON "time_dim"."t_hour" <= 13 + AND "time_dim"."t_hour" >= 12 + AND "web_sales"."ws_sold_time_sk" = "time_dim"."t_time_sk" + JOIN "web_page_2" AS "web_page" + ON "web_sales"."ws_web_page_sk" = "web_page"."wp_web_page_sk" +), "pt" AS ( + SELECT + COUNT(*) AS "pmc" + FROM "web_sales_2" AS "web_sales", "household_demographics_2" AS "household_demographics", "time_dim" AS "time_dim", "web_page_2" AS "web_page" + WHERE + "time_dim"."t_hour" <= 21 + AND "time_dim"."t_hour" >= 20 + AND "web_sales"."ws_ship_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "web_sales"."ws_sold_time_sk" = "time_dim"."t_time_sk" + AND "web_sales"."ws_web_page_sk" = "web_page"."wp_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 +-------------------------------------- +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 "catalog_returns"."cr_call_center_sk" = "call_center"."cc_call_center_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 "household_demographics" AS "household_demographics" + ON "household_demographics"."hd_buy_potential" LIKE 'Unknown%' +JOIN "customer_demographics" AS "customer_demographics" + ON ( + "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 "customer_address" AS "customer_address" + ON "customer_address"."ca_gmt_offset" = -7 +JOIN "customer" AS "customer" + ON "catalog_returns"."cr_returning_customer_sk" = "customer"."c_customer_sk" + AND "customer_address"."ca_address_sk" = "customer"."c_current_addr_sk" + AND "customer_demographics"."cd_demo_sk" = "customer"."c_current_cdemo_sk" + AND "household_demographics"."hd_demo_sk" = "customer"."c_current_hdemo_sk" +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 + SUM("catalog_returns"."cr_net_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 "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" +JOIN "date_dim_2" AS "date_dim" + ON "date_dim"."d_date_sk" = "web_sales"."ws_sold_date_sk" +WHERE + "web_sales"."ws_ext_discount_amt" > "_u_0"."_col_0" +ORDER BY + SUM("web_sales"."ws_ext_discount_amt") +LIMIT 100; + +-------------------------------------- +-- TPC-DS 93 +-------------------------------------- +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" +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" +JOIN "reason" AS "reason" + ON "reason"."r_reason_desc" = 'reason 38' +WHERE + "store_returns"."sr_reason_sk" = "reason"."r_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 "web_sales"."ws_order_number") AS "order count", + SUM("web_sales"."ws_ext_ship_cost") AS "total shipping cost", + SUM("web_sales"."ws_net_profit") AS "total net profit" +FROM "web_sales" AS "web_sales" +LEFT JOIN "_u_0" AS "_u_0" + ON "web_sales"."ws_order_number" = "_u_0"."_u_1" +LEFT JOIN "_u_3" AS "_u_3" + ON "web_sales"."ws_order_number" = "_u_3"."_u_4" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date" >= '2000-3-01' + AND "web_sales"."ws_ship_date_sk" = "date_dim"."d_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= ( + CAST('2000-3-01' AS DATE) + INTERVAL '60' "day" + ) +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_state" = 'MT' + AND "web_sales"."ws_ship_addr_sk" = "customer_address"."ca_address_sk" +JOIN "web_site" AS "web_site" + ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk" + AND "web_site"."web_company_name" = 'pri' +WHERE + "_u_3"."_u_4" IS NULL + AND ARRAY_ANY("_u_0"."_u_2", "_x" -> "web_sales"."ws_warehouse_sk" <> "_x") + AND NOT "_u_0"."_u_1" IS NULL +ORDER BY + COUNT(DISTINCT "web_sales"."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 "ws1" AS ( + SELECT + "web_sales"."ws_warehouse_sk" AS "ws_warehouse_sk", + "web_sales"."ws_order_number" AS "ws_order_number" + FROM "web_sales" AS "web_sales" +), "ws_wh" AS ( + SELECT + "ws1"."ws_order_number" AS "ws_order_number" + FROM "ws1" AS "ws1" + JOIN "ws1" 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" + 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" + ON "web_returns"."wr_order_number" = "ws_wh"."ws_order_number" + GROUP BY + "web_returns"."wr_order_number" +) +SELECT + COUNT(DISTINCT "web_sales"."ws_order_number") AS "order count", + SUM("web_sales"."ws_ext_ship_cost") AS "total shipping cost", + SUM("web_sales"."ws_net_profit") AS "total net profit" +FROM "web_sales" AS "web_sales" +LEFT JOIN "_u_0" AS "_u_0" + ON "web_sales"."ws_order_number" = "_u_0"."ws_order_number" +LEFT JOIN "_u_1" AS "_u_1" + ON "web_sales"."ws_order_number" = "_u_1"."wr_order_number" +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date" >= '2000-4-01' + AND "web_sales"."ws_ship_date_sk" = "date_dim"."d_date_sk" + AND CAST("date_dim"."d_date" AS DATE) <= ( + CAST('2000-4-01' AS DATE) + INTERVAL '60' "day" + ) +JOIN "customer_address" AS "customer_address" + ON "customer_address"."ca_state" = 'IN' + AND "web_sales"."ws_ship_addr_sk" = "customer_address"."ca_address_sk" +JOIN "web_site" AS "web_site" + ON "web_sales"."ws_web_site_sk" = "web_site"."web_site_sk" + AND "web_site"."web_company_name" = 'pri' +WHERE + NOT "_u_0"."ws_order_number" IS NULL AND NOT "_u_1"."wr_order_number" IS NULL +ORDER BY + COUNT(DISTINCT "web_sales"."ws_order_number") +LIMIT 100; + +-------------------------------------- +-- TPC-DS 96 +-------------------------------------- +SELECT Count(*) +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_dep_count" = 7 + AND "store_sales"."ss_hdemo_sk" = "household_demographics"."hd_demo_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 +JOIN "store" AS "store" + ON "store"."s_store_name" = 'ese' AND "store_sales"."ss_store_sk" = "store"."s_store_sk" +ORDER BY + COUNT(*) +LIMIT 100; + +-------------------------------------- +-- TPC-DS 97 +-------------------------------------- + +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 "store_sales"."ss_sold_date_sk" = "date_dim"."d_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" +FULL JOIN "csci" + ON "ssci"."customer_sk" = "csci"."customer_sk" AND "ssci"."item_sk" = "csci"."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 "item" AS "item" + ON "item"."i_category" IN ('Men', 'Home', 'Electronics') + AND "store_sales"."ss_item_sk" = "item"."i_item_sk" +JOIN "date_dim" AS "date_dim" + ON "store_sales"."ss_sold_date_sk" = "date_dim"."d_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) +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 +-------------------------------------- + + +SELECT Substr(w_warehouse_name, 1, 20), + 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 Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name +ORDER BY Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name +LIMIT 100; +SELECT + SUBSTR("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 "warehouse" AS "warehouse" + ON "catalog_sales"."cs_warehouse_sk" = "warehouse"."w_warehouse_sk" +JOIN "ship_mode" AS "ship_mode" + ON "catalog_sales"."cs_ship_mode_sk" = "ship_mode"."sm_ship_mode_sk" +JOIN "call_center" AS "call_center" + ON "catalog_sales"."cs_call_center_sk" = "call_center"."cc_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 +GROUP BY + SUBSTR("warehouse"."w_warehouse_name", 1, 20), + "ship_mode"."sm_type", + "call_center"."cc_name" +ORDER BY + SUBSTR("warehouse"."w_warehouse_name", 1, 20), + "sm_type", + "cc_name" +LIMIT 100; + |