jmeter-hiveserver2/queries_all.csv at hive2 · prasanthj/jmeter-hiveserver2 · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
query1.sql^with customer_total_return as (select sr_customer_sk as ctr_customer_sk ,sr_store_sk as ctr_store_sk ,sum(SR_FEE) as ctr_total_return from store_returns ,date_dim where sr_returned_date_sk = d_date_sk and d_year =2000 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 = 'NM' and ctr1.ctr_customer_sk = c_customer_sk order by c_customer_id limit 100
query2.sql^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) x 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 = 2001) 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 = 2001+1) z where d_week_seq1=d_week_seq2-53 order by d_week_seq1
query3.sql^select  dt.d_year ,item.i_brand_id brand_id ,item.i_brand brand ,sum(ss_ext_sales_price) 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 = 436 and dt.d_moy=12 group by dt.d_year ,item.i_brand ,item.i_brand_id order by dt.d_year ,sum_agg desc ,brand_id limit 100
query4.sql^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_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_preferred_cust_flag limit 100
query5.sql^with ssr as (select s_store_id, sum(sales_price) as sales, sum(profit) as profit, sum(return_amt) as returns, 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '14' days) 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 returns, 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '14' days) 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 returns, 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '14' days) and wsr_web_site_sk = web_site_sk group by web_site_id) select  channel , id , sum(sales) as sales , sum(returns) as returns , sum(profit) as profit from (select 'store channel' as channel , 'store' || s_store_id as id , sales , returns , (profit - profit_loss) as profit from   ssr union all select 'catalog channel' as channel , 'catalog_page' || cp_catalog_page_id as id , sales , returns , (profit - profit_loss) as profit from  csr union all select 'web channel' as channel , 'web_site' || web_site_id as id , sales , returns , (profit - profit_loss) as profit from   wsr ) x group by rollup (channel, id) order by channel ,id limit 100
query6.sql^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 = 2000 and d_moy = 2 ) 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
query7.sql^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 = 'Primary' 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
query8.sql^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 ( '89436','30868','65085','22977','83927','77557', '58429','40697','80614','10502','32779', '91137','61265','98294','17921','18427', '21203','59362','87291','84093','21505', '17184','10866','67898','25797','28055', '18377','80332','74535','21757','29742', '90885','29898','17819','40811','25990', '47513','89531','91068','10391','18846', '99223','82637','41368','83658','86199', '81625','26696','89338','88425','32200', '81427','19053','77471','36610','99823', '43276','41249','48584','83550','82276', '18842','78890','14090','38123','40936', '34425','19850','43286','80072','79188', '54191','11395','50497','84861','90733', '21068','57666','37119','25004','57835', '70067','62878','95806','19303','18840', '19124','29785','16737','16022','49613', '89977','68310','60069','98360','48649', '39050','41793','25002','27413','39736', '47208','16515','94808','57648','15009', '80015','42961','63982','21744','71853', '81087','67468','34175','64008','20261', '11201','51799','48043','45645','61163', '48375','36447','57042','21218','41100', '89951','22745','35851','83326','61125', '78298','80752','49858','52940','96976', '63792','11376','53582','18717','90226', '50530','94203','99447','27670','96577', '57856','56372','16165','23427','54561', '28806','44439','22926','30123','61451', '92397','56979','92309','70873','13355', '21801','46346','37562','56458','28286', '47306','99555','69399','26234','47546', '49661','88601','35943','39936','25632', '24611','44166','56648','30379','59785', '11110','14329','93815','52226','71381', '13842','25612','63294','14664','21077', '82626','18799','60915','81020','56447', '76619','11433','13414','42548','92713', '70467','30884','47484','16072','38936', '13036','88376','45539','35901','19506', '65690','73957','71850','49231','14276', '20005','18384','76615','11635','38177', '55607','41369','95447','58581','58149', '91946','33790','76232','75692','95464', '22246','51061','56692','53121','77209', '15482','10688','14868','45907','73520', '72666','25734','17959','24677','66446', '94627','53535','15560','41967','69297', '11929','59403','33283','52232','57350', '43933','40921','36635','10827','71286', '19736','80619','25251','95042','15526', '36496','55854','49124','81980','35375', '49157','63512','28944','14946','36503', '54010','18767','23969','43905','66979', '33113','21286','58471','59080','13395', '79144','70373','67031','38360','26705', '50906','52406','26066','73146','15884', '31897','30045','61068','45550','92454', '13376','14354','19770','22928','97790', '50723','46081','30202','14410','20223', '88500','67298','13261','14172','81410', '93578','83583','46047','94167','82564', '21156','15799','86709','37931','74703', '83103','23054','70470','72008','49247', '91911','69998','20961','70070','63197', '54853','88191','91830','49521','19454', '81450','89091','62378','25683','61869', '51744','36580','85778','36871','48121', '28810','83712','45486','67393','26935', '42393','20132','55349','86057','21309', '80218','10094','11357','48819','39734', '40758','30432','21204','29467','30214', '61024','55307','74621','11622','68908', '33032','52868','99194','99900','84936', '69036','99149','45013','32895','59004', '32322','14933','32936','33562','72550', '27385','58049','58200','16808','21360', '32961','18586','79307','15492')) 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 = 1 and d_year = 2002 and (substr(s_zip,1,2) = substr(V1.ca_zip,1,2)) group by s_store_name order by s_store_name limit 100
query9.sql^with bucket1q as ( select count(*) ct, avg(ss_ext_list_price) alp, avg(ss_net_paid_inc_tax) anp from store_sales where ss_quantity between 1 and 20 ), bucket2q as ( select count(*) ct, avg(ss_ext_list_price) alp, avg(ss_net_paid_inc_tax) anp from store_sales where ss_quantity between 21 and 40 ), bucket3q as ( select count(*) ct, avg(ss_ext_list_price) alp, avg(ss_net_paid_inc_tax) anp from store_sales where ss_quantity between 41 and 60 ), bucket4q as ( select count(*) ct, avg(ss_ext_list_price) alp, avg(ss_net_paid_inc_tax) anp from store_sales where ss_quantity between 61 and 80 ), bucket5q as ( select count(*) ct, avg(ss_ext_list_price) alp, avg(ss_net_paid_inc_tax) anp from store_sales where ss_quantity between 81 and 100 ) select case when bucket1q.ct > 409437 then bucket1q.alp else bucket1q.anp end bucket1, case when bucket1q.ct > 4595804 then bucket1q.alp else bucket1q.anp end bucket1, case when bucket1q.ct > 7887297 then bucket1q.alp else bucket1q.anp end bucket1, case when bucket1q.ct > 10872978 then bucket1q.alp else bucket1q.anp end bucket1, case when bucket1q.ct > 43571537 then bucket1q.alp else bucket1q.anp end bucket1 from bucket1q, bucket2q, bucket3q, bucket4q, bucket5q
query10.sql^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 ('Walker County','Richland County','Gaines County','Douglas County','Dona Ana 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
query11.sql^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 ,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 ,d_year ,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 ,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.c_preferred_cust_flag 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 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 t_s_secyear.c_preferred_cust_flag limit 100
query12.sql^select  i_item_desc ,i_category ,i_class ,i_current_price ,i_item_id ,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 ('Jewelry', 'Sports', 'Books') and ws_sold_date_sk = d_date_sk and d_date between cast('2001-01-12' as date) and (cast('2001-01-12' as date) + interval '30' days) 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
query13.sql^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 = 'M' and cd_education_status = '4 yr 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 = 'D' 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 = 'U' and cd_education_status = 'Advanced Degree' 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 ('KY', 'GA', 'NM') and ss_net_profit between 100 and 200 ) or (ss_addr_sk = ca_address_sk and ca_country = 'United States' and ca_state in ('MT', 'OR', 'IN') and ss_net_profit between 150 and 300 ) or (ss_addr_sk = ca_address_sk and ca_country = 'United States' and ca_state in ('WI', 'MO', 'WV') and ss_net_profit between 50 and 250 ))
query14_a.sql^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) x 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 2001 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 1998 and 1998 + 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 1998 and 1998 + 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 = 1998+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 = 1998+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 = 1998+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
query14_b.sql^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) x 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 1998 and 1998 + 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 1998 and 1998 + 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 1998 and 1998 + 2) x) select  * 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_week_seq = (select d_week_seq from date_dim where d_year = 1998 + 1 and d_moy = 12 and d_dom = 16) group by i_brand_id,i_class_id,i_category_id having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) this_year, (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_week_seq = (select d_week_seq from date_dim where d_year = 1998 and d_moy = 12 and d_dom = 16) group by i_brand_id,i_class_id,i_category_id having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) last_year where this_year.i_brand_id= last_year.i_brand_id and this_year.i_class_id = last_year.i_class_id and this_year.i_category_id = last_year.i_category_id order by this_year.channel, this_year.i_brand_id, this_year.i_class_id, this_year.i_category_id limit 100
query15.sql^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 = 2 and d_year = 2000 group by ca_zip order by ca_zip limit 100
query16.sql^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 '2001-4-01' and (cast('2001-4-01' as date) + interval '60' days) and cs1.cs_ship_date_sk = d_date_sk and cs1.cs_ship_addr_sk = ca_address_sk and ca_state = 'NY' and cs1.cs_call_center_sk = cc_call_center_sk and cc_county in ('Ziebach County','Levy County','Huron County','Franklin Parish', 'Daviess 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 `order count` limit 100
query17.sql^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 = '2000Q1' 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 ('2000Q1','2000Q2','2000Q3') 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 ('2000Q1','2000Q2','2000Q3') group by i_item_id ,i_item_desc ,s_state order by i_item_id ,i_item_desc ,s_state limit 100
query18.sql^select  i_item_id, ca_country, ca_state, ca_county, avg( cast(cs_quantity as decimal(12,2))) agg1, avg( cast(cs_list_price as decimal(12,2))) agg2, avg( cast(cs_coupon_amt as decimal(12,2))) agg3, avg( cast(cs_sales_price as decimal(12,2))) agg4, avg( cast(cs_net_profit as decimal(12,2))) agg5, avg( cast(c_birth_year as decimal(12,2))) agg6, avg( cast(cd1.cd_dep_count as decimal(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 = 'M' and cd1.cd_education_status = 'College' and c_current_cdemo_sk = cd2.cd_demo_sk and c_current_addr_sk = ca_address_sk and c_birth_month in (9,5,12,4,1,10) and d_year = 2001 and ca_state in ('ND','WI','AL' ,'NC','OK','MS','TN') 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
query19.sql^select  i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact, sum(ss_ext_sales_price) ext_price from date_dim, store_sales, item,customer,customer_address,store where d_date_sk = ss_sold_date_sk and ss_item_sk = i_item_sk and i_manager_id=7 and d_moy=11 and d_year=1999 and ss_customer_sk = c_customer_sk and c_current_addr_sk = ca_address_sk and substr(ca_zip,1,5) <> substr(s_zip,1,5) and ss_store_sk = s_store_sk group by i_brand ,i_brand_id ,i_manufact_id ,i_manufact order by ext_price desc ,i_brand ,i_brand_id ,i_manufact_id ,i_manufact limit 100
query20.sql^select  i_item_desc ,i_category ,i_class ,i_current_price ,i_item_id ,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 ('Jewelry', 'Sports', 'Books') and cs_sold_date_sk = d_date_sk and d_date between cast('2001-01-12' as date) and (cast('2001-01-12' as date) + interval '30' days) 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
query21.sql^select  * from(select w_warehouse_name ,i_item_id ,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date)) then inv_quantity_on_hand else 0 end) as inv_before ,sum(case when (cast(d_date as date) >= cast ('1998-04-08' 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 ('1998-04-08' as date) - interval '30' days) and (cast ('1998-04-08' as date) + interval '30' days) 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
query22.sql^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 1212 and 1212 + 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
query23_a.sql^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 (1999,1999+1,1999+2,1999+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 (1999,1999+1,1999+2,1999+3) group by c_customer_sk) x), 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 = 1999 and d_moy = 1 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 = 1999 and d_moy = 1 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))) y limit 100
query23_b.sql^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 (1999,1999 + 1,1999 + 2,1999 + 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 (1999,1999+1,1999+2,1999+3) group by c_customer_sk) x), 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  c_last_name,c_first_name,sales from ((select c_last_name,c_first_name,sum(cs_quantity*cs_list_price) sales from catalog_sales ,customer ,date_dim where d_year = 1999 and d_moy = 1 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) and cs_bill_customer_sk = c_customer_sk group by c_last_name,c_first_name) union all (select c_last_name,c_first_name,sum(ws_quantity*ws_list_price) sales from web_sales ,customer ,date_dim where d_year = 1999 and d_moy = 1 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) and ws_bill_customer_sk = c_customer_sk group by c_last_name,c_first_name)) y order by c_last_name,c_first_name,sales limit 100
query24_a.sql^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_sales_price) 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=7 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 = 'orchid' group by c_last_name ,c_first_name ,s_store_name having sum(netpaid) > (select 0.05*avg(netpaid) from ssales)
query24_b.sql^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_sales_price) 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 = 7 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 = 'chiffon' group by c_last_name ,c_first_name ,s_store_name having sum(netpaid) > (select 0.05*avg(netpaid) from ssales)
query25.sql^select i_item_id ,i_item_desc ,s_store_id ,s_store_name ,sum(ss_net_profit) as store_sales_profit ,sum(sr_net_loss) as store_returns_loss ,sum(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 = 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 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              = 2000 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              = 2000 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
query26.sql^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 = 'Primary' 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
query27.sql^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 = 'U' and cd_education_status = '2 yr Degree' and d_year = 2001 and s_state in ('SD','FL', 'MI', 'LA', 'MO', 'SC') group by rollup (i_item_id, s_state) order by i_item_id ,s_state limit 100
query28.sql^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 11 and 11+10 or ss_coupon_amt between 460 and 460+1000 or ss_wholesale_cost between 14 and 14+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 91 and 91+10 or ss_coupon_amt between 1430 and 1430+1000 or ss_wholesale_cost between 32 and 32+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 66 and 66+10 or ss_coupon_amt between 920 and 920+1000 or ss_wholesale_cost between 4 and 4+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 142 and 142+10 or ss_coupon_amt between 3054 and 3054+1000 or ss_wholesale_cost between 80 and 80+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 135 and 135+10 or ss_coupon_amt between 14180 and 14180+1000 or ss_wholesale_cost between 38 and 38+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 28 and 28+10 or ss_coupon_amt between 2513 and 2513+1000 or ss_wholesale_cost between 42 and 42+20)) B6 limit 100
query29.sql^select i_item_id ,i_item_desc ,s_store_id ,s_store_name ,sum(ss_quantity)        as store_sales_quantity ,sum(sr_return_quantity) as store_returns_quantity ,sum(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              = 1999 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              = 1999 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 (1999,1999+1,1999+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
query30.sql^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 =2002 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 = 'IL' 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
query31.sql^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 = 2000 and ss1.ca_county = ss2.ca_county and ss2.d_qoy = 2 and ss2.d_year = 2000 and ss2.ca_county = ss3.ca_county and ss3.d_qoy = 3 and ss3.d_year = 2000 and ss1.ca_county = ws1.ca_county and ws1.d_qoy = 1 and ws1.d_year = 2000 and ws1.ca_county = ws2.ca_county and ws2.d_qoy = 2 and ws2.d_year = 2000 and ws1.ca_county = ws3.ca_county and ws3.d_qoy = 3 and ws3.d_year =2000 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
query32.sql^select  sum(cs_ext_discount_amt)  as `excess discount amount` from catalog_sales ,item ,date_dim where i_manufact_id = 269 and i_item_sk = cs_item_sk and d_date between '1998-03-18' and (cast('1998-03-18' as date) + interval '90' days) 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 '1998-03-18' and (cast('1998-03-18' as date) + interval '90' days) and d_date_sk = cs_sold_date_sk ) limit 100
query33.sql^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           = -6 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           = -6 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           = -6 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
query34.sql^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 (2000,2000+1,2000+2) and store.s_county in ('Mobile County','Maverick County','Huron County','Kittitas County', 'Fairfield County','Jackson County','Barrow County','Pennington 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
query35.sql^select ca_state, cd_gender, cd_marital_status, cd_dep_count, count(*) cnt1, avg(cd_dep_count), max(cd_dep_count), sum(cd_dep_count), cd_dep_employed_count, count(*) cnt2, avg(cd_dep_employed_count), max(cd_dep_employed_count), sum(cd_dep_employed_count), cd_dep_college_count, count(*) cnt3, avg(cd_dep_college_count), max(cd_dep_college_count), sum(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 = 1999 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 = 1999 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 = 1999 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
query36.sql^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 = 1999 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 ('SD','FL','MI','LA', 'MO','SC','AL','GA') group by rollup(i_category,i_class) order by lochierarchy desc ,case when lochierarchy = 0 then i_category end ,rank_within_parent limit 100
query37.sql^select  i_item_id ,i_item_desc ,i_current_price from item, inventory, date_dim, catalog_sales where i_current_price between 22 and 22 + 30 and inv_item_sk = i_item_sk and d_date_sk=inv_date_sk and d_date between cast('2001-06-02' as date) and (cast('2001-06-02' as date) +  interval '60' days) and i_manufact_id in (678,964,918,849) 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
query38.sql^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 1212 and 1212 + 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 1212 and 1212 + 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 1212 and 1212 + 11 ) hot_cust limit 100
query39_a.sql^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 =1999 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=4 and inv2.d_moy=4+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
query39_b.sql^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 =1999 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=4 and inv2.d_moy=4+1 and inv1.cov > 1.5 order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov ,inv2.d_moy,inv2.mean, inv2.cov
query40.sql^select w_state ,i_item_id ,sum(case when (cast(d_date as date) < cast ('1998-04-08' 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 ('1998-04-08' 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 ('1998-04-08' as date) - interval '30' days) and (cast ('1998-04-08' as date) + interval '30' days) group by w_state,i_item_id order by w_state,i_item_id limit 100
query41.sql^select  distinct(i_product_name) from item i1 where i_manufact_id between 742 and 742+40 and (select count(*) as item_cnt from item where (i_manufact = i1.i_manufact and ((i_category = 'Women' and (i_color = 'orchid' or i_color = 'papaya') and (i_units = 'Pound' or i_units = 'Lb') and (i_size = 'petite' or i_size = 'medium') ) or (i_category = 'Women' and (i_color = 'burlywood' or i_color = 'navy') and (i_units = 'Bundle' or i_units = 'Each') and (i_size = 'N/A' or i_size = 'extra large') ) or (i_category = 'Men' and (i_color = 'bisque' or i_color = 'azure') and (i_units = 'N/A' or i_units = 'Tsp') and (i_size = 'small' or i_size = 'large') ) or (i_category = 'Men' and (i_color = 'chocolate' or i_color = 'cornflower') and (i_units = 'Bunch' or i_units = 'Gross') and (i_size = 'petite' or i_size = 'medium') )))) > 0 or (select count(*) as item_cnt from item where (i_manufact = i1.i_manufact and ((i_category = 'Women' and (i_color = 'salmon' or i_color = 'midnight') and (i_units = 'Oz' or i_units = 'Box') and (i_size = 'petite' or i_size = 'medium') ) or (i_category = 'Women' and (i_color = 'snow' or i_color = 'steel') and (i_units = 'Carton' or i_units = 'Tbl') and (i_size = 'N/A' or i_size = 'extra large') ) or (i_category = 'Men' and (i_color = 'purple' or i_color = 'gainsboro') and (i_units = 'Dram' or i_units = 'Unknown') and (i_size = 'small' or i_size = 'large') ) or (i_category = 'Men' and (i_color = 'metallic' or i_color = 'forest') and (i_units = 'Gram' or i_units = 'Ounce') and (i_size = 'petite' or i_size = 'medium') )))) > 0 order by i_product_name limit 100
query42.sql^select  dt.d_year ,item.i_category_id ,item.i_category ,sum(ss_ext_sales_price) sp 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=1998 group by 	dt.d_year ,item.i_category_id ,item.i_category order by       sp desc,dt.d_year ,item.i_category_id ,item.i_category limit 100
query43.sql^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 = -6 and d_year = 1998 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
query44.sql^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 = 410 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 = 410 and ss_hdemo_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 = 410 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 = 410 and ss_hdemo_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
query45.sql^select  ca_zip, ca_county, 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 = 2 and d_year = 2000 group by ca_zip, ca_county order by ca_zip, ca_county limit 100
query46.sql^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 = 2 or household_demographics.hd_vehicle_count= 1) and date_dim.d_dow in (6,0) and date_dim.d_year in (1998,1998+1,1998+2) and store.s_city in ('Cedar Grove','Wildwood','Union','Salem','Highland Park') 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
query47.sql^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 = 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, 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  i_category, d_year, d_moy, avg_monthly_sales, sum_sales, psum, nsum 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
query48.sql^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 = 1998 and ( ( cd_demo_sk = ss_cdemo_sk and cd_marital_status = 'M' and cd_education_status = '4 yr Degree' 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 = '4 yr Degree' and ss_sales_price between 50.00 and 100.00 ) or ( cd_demo_sk = ss_cdemo_sk and cd_marital_status = 'M' and cd_education_status = '4 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 ('KY', 'GA', 'NM') and ss_net_profit between 0 and 2000 ) or (ss_addr_sk = ca_address_sk and ca_country = 'United States' and ca_state in ('MT', 'OR', 'IN') and ss_net_profit between 150 and 3000 ) or (ss_addr_sk = ca_address_sk and ca_country = 'United States' and ca_state in ('WI', 'MO', 'WV') and ss_net_profit between 50 and 25000 ) )
query49.sql^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 decimal(15,4))/ cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as return_ratio ,(cast(sum(coalesce(wr.wr_return_amt,0)) as decimal(15,4))/ cast(sum(coalesce(ws.ws_net_paid,0)) as decimal(15,4) )) as currency_ratio from web_sales 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 = 2000 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 decimal(15,4))/ cast(sum(coalesce(cs.cs_quantity,0)) as decimal(15,4) )) as return_ratio ,(cast(sum(coalesce(cr.cr_return_amount,0)) as decimal(15,4))/ cast(sum(coalesce(cs.cs_net_paid,0)) as decimal(15,4) )) as currency_ratio from catalog_sales 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 = 2000 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 decimal(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) as decimal(15,4) )) as return_ratio ,(cast(sum(coalesce(sr.sr_return_amt,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_net_paid,0)) as decimal(15,4) )) as currency_ratio from store_sales 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 = 2000 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
query50.sql^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 = 2000 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
query51.sql^WITH web_v1 as ( select ws_item_sk item_sk, d_date, sum(ws_sales_price_s) over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales from ( select ws_item_sk, d_date, sum(ws_sales_price) ws_sales_price_s from web_sales ,date_dim where ws_sold_date_sk=d_date_sk and d_month_seq between 1212 and 1212+11 and ws_item_sk is not NULL group by ws_item_sk, d_date) sub1), store_v1 as ( select ss_item_sk item_sk, d_date, sum(ss_sales_price_s) over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales from ( select ss_item_sk, d_date, sum(ss_sales_price) ss_sales_price_s from store_sales ,date_dim where ss_sold_date_sk=d_date_sk and d_month_seq between 1212 and 1212+11 and ss_item_sk is not NULL group by ss_item_sk, d_date) sub2) 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
query52.sql^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=12 and dt.d_year=1998 group by dt.d_year ,item.i_brand ,item.i_brand_id order by dt.d_year ,ext_price desc ,brand_id limit 100
query53.sql^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 (1212,1212+1,1212+2,1212+3,1212+4,1212+5,1212+6,1212+7,1212+8,1212+9,1212+10,1212+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
query54.sql^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 = 'Jewelry' and i_class = 'consignment' and c_customer_sk = cs_or_ws_sales.customer_sk and d_moy = 3 and d_year = 1999 ) , 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 = 1999 and d_moy = 3) and  (select distinct d_month_seq+3 from   date_dim where d_year = 1999 and d_moy = 3) 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
query55.sql^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=36 and d_moy=12 and d_year=2001 group by i_brand, i_brand_id order by ext_price desc, i_brand_id limit 100
query56.sql^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 ('orchid','chiffon','lace')) and     ss_item_sk              = i_item_sk and     ss_sold_date_sk         = d_date_sk and     d_year                  = 2000 and     d_moy                   = 1 and     ss_addr_sk              = ca_address_sk and     ca_gmt_offset           = -8 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 ('orchid','chiffon','lace')) and     cs_item_sk              = i_item_sk and     cs_sold_date_sk         = d_date_sk and     d_year                  = 2000 and     d_moy                   = 1 and     cs_bill_addr_sk         = ca_address_sk and     ca_gmt_offset           = -8 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 ('orchid','chiffon','lace')) and     ws_item_sk              = i_item_sk and     ws_sold_date_sk         = d_date_sk and     d_year                  = 2000 and     d_moy                   = 1 and     ws_bill_addr_sk         = ca_address_sk and     ca_gmt_offset           = -8 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
query57.sql^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_category, v1.i_brand ,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. 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  i_category, i_brand, d_year, d_moy, avg_monthly_sales, sum_sales, psum, nsum 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
query58.sql^with ss_items as (select i_item_id item_id ,sum(ss_ext_sales_price) ss_item_rev from store_sales ,item ,date_dim where ss_item_sk = i_item_sk and d_date in (select d_date from date_dim where d_week_seq = (select d_week_seq from date_dim where d_date = '1998-02-19')) and ss_sold_date_sk   = d_date_sk group by i_item_id), cs_items as (select i_item_id item_id ,sum(cs_ext_sales_price) cs_item_rev from catalog_sales ,item ,date_dim where cs_item_sk = i_item_sk and  d_date in (select d_date from date_dim where d_week_seq = (select d_week_seq from date_dim where d_date = '1998-02-19')) and  cs_sold_date_sk = d_date_sk group by i_item_id), ws_items as (select i_item_id item_id ,sum(ws_ext_sales_price) ws_item_rev from web_sales ,item ,date_dim where ws_item_sk = i_item_sk and  d_date in (select d_date from date_dim where d_week_seq =(select d_week_seq from date_dim where d_date = '1998-02-19')) and ws_sold_date_sk   = d_date_sk group by i_item_id) select  ss_items.item_id ,ss_item_rev ,ss_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ss_dev ,cs_item_rev ,cs_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 cs_dev ,ws_item_rev ,ws_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ws_dev ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average from ss_items,cs_items,ws_items where ss_items.item_id=cs_items.item_id and ss_items.item_id=ws_items.item_id and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev order by item_id ,ss_item_rev limit 100
query59.sql^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_sales1,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 1185 and 1185 + 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 1185+ 12 and 1185 + 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
query60.sql^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 ('Children')) and     ss_item_sk              = i_item_sk and     ss_sold_date_sk         = d_date_sk and     d_year                  = 1999 and     d_moy                   = 9 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 ('Children')) and     cs_item_sk              = i_item_sk and     cs_sold_date_sk         = d_date_sk and     d_year                  = 1999 and     d_moy                   = 9 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 ('Children')) and     ws_item_sk              = i_item_sk and     ws_sold_date_sk         = d_date_sk and     d_year                  = 1999 and     d_moy                   = 9 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
query61.sql^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 = 'Electronics' and   (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') and   s_gmt_offset = -7 and   d_year = 1999 and   d_moy  = 11) 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 = 'Electronics' and   s_gmt_offset = -7 and   d_year = 1999 and   d_moy  = 11) all_sales order by promotions, total limit 100
query62.sql^select substr(w_warehouse_name,1,20) ws ,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 1212 and 1212 + 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 ws ,sm_type ,web_name limit 100
query63.sql^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 (1212,1212+1,1212+2,1212+3,1212+4,1212+5,1212+6,1212+7,1212+8,1212+9,1212+10,1212+11) and ((    i_category in ('Books','Children','Electronics') and i_class in ('personal','portable','refernece','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
query64.sql^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 ('maroon','burnished','dim','steel','navajo','chocolate') and i_current_price between 35 and 35 + 10 and i_current_price between 35 + 1 and 35 + 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 = 2000 and cs2.syear = 2000 + 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
query65.sql^select s_store_name, i_item_desc, sc.revenue, i_current_price, i_wholesale_cost, i_brand from store, item, (select ss_store_sk, avg(revenue) as ave from (select  ss_store_sk, ss_item_sk, sum(ss_sales_price) as revenue from store_sales, date_dim where ss_sold_date_sk = d_date_sk and d_month_seq between 1212 and 1212+11 group by ss_store_sk, ss_item_sk) sa group by ss_store_sk) sb, (select  ss_store_sk, ss_item_sk, sum(ss_sales_price) as revenue from store_sales, date_dim where ss_sold_date_sk = d_date_sk and d_month_seq between 1212 and 1212+11 group by ss_store_sk, ss_item_sk) sc where sb.ss_store_sk = sc.ss_store_sk and sc.revenue <= 0.1 * sb.ave and s_store_sk = sc.ss_store_sk and i_item_sk = sc.ss_item_sk order by s_store_name, i_item_desc limit 100
query66.sql^select w_warehouse_name ,w_warehouse_sq_ft ,w_city ,w_county ,w_state ,w_country ,ship_carriers ,year ,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 ,'DIAMOND' || ',' || 'AIRBORNE' as ship_carriers ,d_year as year ,sum(case when d_moy = 1 then ws_sales_price* ws_quantity else 0 end) as jan_sales ,sum(case when d_moy = 2 then ws_sales_price* ws_quantity else 0 end) as feb_sales ,sum(case when d_moy = 3 then ws_sales_price* ws_quantity else 0 end) as mar_sales ,sum(case when d_moy = 4 then ws_sales_price* ws_quantity else 0 end) as apr_sales ,sum(case when d_moy = 5 then ws_sales_price* ws_quantity else 0 end) as may_sales ,sum(case when d_moy = 6 then ws_sales_price* ws_quantity else 0 end) as jun_sales ,sum(case when d_moy = 7 then ws_sales_price* ws_quantity else 0 end) as jul_sales ,sum(case when d_moy = 8 then ws_sales_price* ws_quantity else 0 end) as aug_sales ,sum(case when d_moy = 9 then ws_sales_price* ws_quantity else 0 end) as sep_sales ,sum(case when d_moy = 10 then ws_sales_price* ws_quantity else 0 end) as oct_sales ,sum(case when d_moy = 11 then ws_sales_price* ws_quantity else 0 end) as nov_sales ,sum(case when d_moy = 12 then ws_sales_price* ws_quantity else 0 end) as dec_sales ,sum(case when d_moy = 1 then ws_net_paid_inc_tax * ws_quantity else 0 end) as jan_net ,sum(case when d_moy = 2 then ws_net_paid_inc_tax * ws_quantity else 0 end) as feb_net ,sum(case when d_moy = 3 then ws_net_paid_inc_tax * ws_quantity else 0 end) as mar_net ,sum(case when d_moy = 4 then ws_net_paid_inc_tax * ws_quantity else 0 end) as apr_net ,sum(case when d_moy = 5 then ws_net_paid_inc_tax * ws_quantity else 0 end) as may_net ,sum(case when d_moy = 6 then ws_net_paid_inc_tax * ws_quantity else 0 end) as jun_net ,sum(case when d_moy = 7 then ws_net_paid_inc_tax * ws_quantity else 0 end) as jul_net ,sum(case when d_moy = 8 then ws_net_paid_inc_tax * ws_quantity else 0 end) as aug_net ,sum(case when d_moy = 9 then ws_net_paid_inc_tax * ws_quantity else 0 end) as sep_net ,sum(case when d_moy = 10 then ws_net_paid_inc_tax * ws_quantity else 0 end) as oct_net ,sum(case when d_moy = 11 then ws_net_paid_inc_tax * ws_quantity else 0 end) as nov_net ,sum(case when d_moy = 12 then ws_net_paid_inc_tax * 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 = 2002 and t_time between 49530 and 49530+28800 and sm_carrier in ('DIAMOND','AIRBORNE') 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 ,'DIAMOND' || ',' || 'AIRBORNE' as ship_carriers ,d_year as year ,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_inc_ship_tax * cs_quantity else 0 end) as jan_net ,sum(case when d_moy = 2 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as feb_net ,sum(case when d_moy = 3 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as mar_net ,sum(case when d_moy = 4 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as apr_net ,sum(case when d_moy = 5 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as may_net ,sum(case when d_moy = 6 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jun_net ,sum(case when d_moy = 7 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jul_net ,sum(case when d_moy = 8 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as aug_net ,sum(case when d_moy = 9 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as sep_net ,sum(case when d_moy = 10 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as oct_net ,sum(case when d_moy = 11 then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as nov_net ,sum(case when d_moy = 12 then cs_net_paid_inc_ship_tax * 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 = 2002 and t_time between 49530 AND 49530+28800 and sm_carrier in ('DIAMOND','AIRBORNE') 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 ,year order by w_warehouse_name limit 100
query67.sql^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 1212 and 1212+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
query68.sql^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 = 2 or household_demographics.hd_vehicle_count= 1) and date_dim.d_year in (1998,1998+1,1998+2) and store.s_city in ('Cedar Grove','Wildwood') 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
query69.sql^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 ('CO','IL','MN') 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 = 1999 and d_moy between 1 and 1+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 = 1999 and d_moy between 1 and 1+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 = 1999 and d_moy between 1 and 1+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
query70.sql^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 1212 and 1212+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 1212 and 1212+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
query71.sql^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=12 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=12 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=12 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
query72.sql^select  i_item_desc ,w_warehouse_name ,d1.d_week_seq ,count(case when p_promo_sk is null then 1 else 0 end) no_promo ,count(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' days and hd_buy_potential = '1001-5000' and d1.d_year = 2001 and hd_buy_potential = '1001-5000' and cd_marital_status = 'M' and d1.d_year = 2001 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
query73.sql^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 = '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 and date_dim.d_year in (2000,2000+1,2000+2) and store.s_county in ('Mobile County','Maverick County','Huron County','Kittitas 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
query74.sql^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 year ,max(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 (2001,2001+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 year ,max(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 (2001,2001+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.year = 2001 and t_s_secyear.year = 2001+1 and t_w_firstyear.year = 2001 and t_w_secyear.year = 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 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 2,1,3 limit 100
query75.sql^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='Sports' 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='Sports' 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='Sports') 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 year ,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
query76.sql^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_addr_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price FROM store_sales, item, date_dim WHERE ss_addr_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_web_page_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price FROM web_sales, item, date_dim WHERE ws_web_page_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
query77.sql^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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '30' days) and ss_store_sk = s_store_sk group by s_store_sk) , sr as (select s_store_sk, sum(sr_return_amt) as returns, 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '30' days) 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '30' days) group by cs_call_center_sk ), cr as (select sum(cr_return_amount) as returns, 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '30' days) ), 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '30' days) 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 returns, 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '30' days) and wr_web_page_sk = wp_web_page_sk group by wp_web_page_sk) select  channel , id , sum(sales) as sales , sum(returns) as returns , sum(profit) as profit from (select 'store channel' as channel , ss.s_store_sk as id , sales , coalesce(returns, 0) as returns , (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 , returns , (profit - profit_loss) as profit from  cs , cr union all select 'web channel' as channel , ws.wp_web_page_sk as id , sales , coalesce(returns, 0) returns , (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
query78.sql^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_sold_year, ss_item_sk, ss_customer_sk, ss_qty, ss_wc, ss_sp, ws_qty, cs_qty, 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=2000 order by ss_sold_year, ss_item_sk, ss_customer_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
query79.sql^select c_last_name,c_first_name,substr(s_city,1,30) ss,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 > 0) and date_dim.d_dow = 1 and date_dim.d_year in (1998,1998+1,1998+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,ss, profit limit 100
query80.sql^with ssr as (select  s_store_id as store_id, sum(ss_ext_sales_price) as sales, sum(coalesce(sr_return_amt, 0)) as returns, 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '30' days) 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 returns, 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '30' days) 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 returns, 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('1998-08-04' as date) and (cast('1998-08-04' as date) +  interval '30' days) 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(returns) as returns , sum(profit) as profit from (select 'store channel' as channel , 'store' || store_id as id , sales , returns , profit from   ssr union all select 'catalog channel' as channel , 'catalog_page' || catalog_page_id as id , sales , returns , profit from  csr union all select 'web channel' as channel , 'web_site' || web_site_id as id , sales , returns , profit from   wsr ) x group by rollup (channel, id) order by channel ,id limit 100
query81.sql^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 =1998 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 = 'IL' 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
query82.sql^select  i_item_id ,i_item_desc ,i_current_price from item, inventory, date_dim, store_sales where i_current_price between 30 and 30+30 and inv_item_sk = i_item_sk and d_date_sk=inv_date_sk and d_date between cast('2002-05-30' as date) and (cast('2002-05-30' as date) +  interval '60' days) and i_manufact_id in (437,129,727,663) 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
query83.sql^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 ('1998-01-02','1998-10-15','1998-11-10'))) 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 ('1998-01-02','1998-10-15','1998-11-10'))) 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 ('1998-01-02','1998-10-15','1998-11-10'))) 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
query84.sql^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	        =  'Hopewell' and c_current_addr_sk = ca_address_sk and ib_lower_bound   >=  32287 and ib_upper_bound   <=  32287 + 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 customer_id limit 100
query85.sql^select  substr(r_reason_desc,1,20) ss ,avg(ws_quantity) wq ,avg(wr_refunded_cash) wr ,avg(wr_fee) wf 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 = 1998 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 = 'M' and cd1.cd_marital_status = cd2.cd_marital_status and cd1.cd_education_status = '4 yr Degree' 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 = 'Primary' and cd1.cd_education_status = cd2.cd_education_status and ws_sales_price between 50.00 and 100.00 ) or ( cd1.cd_marital_status = 'U' 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', 'GA', 'NM') and ws_net_profit between 100 and 200 ) or ( ca_country = 'United States' and ca_state in ('MT', 'OR', 'IN') and ws_net_profit between 150 and 300 ) or ( ca_country = 'United States' and ca_state in ('WI', 'MO', 'WV') and ws_net_profit between 50 and 250 ) ) group by r_reason_desc order by ss ,wq ,wr ,wf limit 100
query86.sql^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 1212 and 1212+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
query87.sql^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 1212 and 1212+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 1212 and 1212+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 1212 and 1212+11) ) cool_cust
query88.sql^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 = 3 and household_demographics.hd_vehicle_count<=3+2) or (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+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 = 3 and household_demographics.hd_vehicle_count<=3+2) or (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+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 = 3 and household_demographics.hd_vehicle_count<=3+2) or (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+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 = 3 and household_demographics.hd_vehicle_count<=3+2) or (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+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 = 3 and household_demographics.hd_vehicle_count<=3+2) or (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+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 = 3 and household_demographics.hd_vehicle_count<=3+2) or (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+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 = 3 and household_demographics.hd_vehicle_count<=3+2) or (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+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 = 3 and household_demographics.hd_vehicle_count<=3+2) or (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) and store.s_store_name = 'ese') s8
query89.sql^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 (2000) and ((i_category in ('Home','Books','Electronics') and i_class in ('wallpaper','parenting','musical') ) or (i_category in ('Shoes','Jewelry','Men') and i_class in ('womens','birdal','pants') )) 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
query90.sql^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 6 and 6+1 and household_demographics.hd_dep_count = 8 and web_page.wp_char_count between 5000 and 5200) at, ( 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 14 and 14+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
query91.sql^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                   = 11 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 '0-500%' and     ca_gmt_offset           = -7 group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status order by Returns_Loss desc
query92.sql^select sum(ws_ext_discount_amt)  as `Excess Discount Amount` from web_sales ,item ,date_dim where i_manufact_id = 269 and i_item_sk = ws_item_sk and d_date between '1998-03-18' and (cast('1998-03-18' as date) + interval '90' days) 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 '1998-03-18' and (cast('1998-03-18' as date) + interval '90' days) and d_date_sk = ws_sold_date_sk ) order by `Excess Discount Amount` limit 100
query93.sql^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 = 'Did not like the warranty') t group by ss_customer_sk order by sumsales, ss_customer_sk limit 100
query94.sql^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 '1999-5-01' and (cast('1999-5-01' as date) + interval '60' days) and ws1.ws_ship_date_sk = d_date_sk and ws1.ws_ship_addr_sk = ca_address_sk and ca_state = 'TX' 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 `order count` limit 100
query95.sql^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 '1999-5-01' and (cast('1999-5-01' as date) + interval '60' days) and ws1.ws_ship_date_sk = d_date_sk and ws1.ws_ship_addr_sk = ca_address_sk and ca_state = 'TX' 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 `order count` limit 100
query96.sql^select  count(*) cs 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 = 5 and store.s_store_name = 'ese' order by cs limit 100
query97.sql^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 1212 and 1212 + 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 1212 and 1212 + 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
query98.sql^select i_item_desc ,i_category ,i_class ,i_current_price ,i_item_id ,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 ('Jewelry', 'Sports', 'Books') and ss_sold_date_sk = d_date_sk and d_date between cast('2001-01-12' as date) and (cast('2001-01-12' as date) + interval '30' days) 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
query99.sql^select substr(w_warehouse_name,1,20) ss ,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 1212 and 1212 + 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 ss ,sm_type ,cc_name limit 100