queries.csv

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 
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 store_sales.ss_sold_date_sk = date_dim.d_date_sk and store_sales.ss_item_sk = item.i_item_sk and store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk and store_sales.ss_promo_sk = promotion.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   
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 ,date_dim ,item where web_sales.ws_item_sk = item.i_item_sk and item.i_category in ('Jewelry', 'Sports', 'Books') and web_sales.ws_sold_date_sk = date_dim.d_date_sk and date_dim.d_date between '2001-01-12' and '2001-02-11' 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 store.s_store_sk = store_sales.ss_store_sk and  store_sales.ss_sold_date_sk = date_dim.d_date_sk and date_dim.d_year = 2001 and((store_sales.ss_hdemo_sk=household_demographics.hd_demo_sk and customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk and customer_demographics.cd_marital_status = 'M' and customer_demographics.cd_education_status = '4 yr Degree' and store_sales.ss_sales_price between 100.00 and 150.00 and household_demographics.hd_dep_count = 3 )or (store_sales.ss_hdemo_sk=household_demographics.hd_demo_sk and customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk and customer_demographics.cd_marital_status = 'D' and customer_demographics.cd_education_status = 'Primary' and store_sales.ss_sales_price between 50.00 and 100.00 and household_demographics.hd_dep_count = 1 ) or (store_sales.ss_hdemo_sk=household_demographics.hd_demo_sk and customer_demographics.cd_demo_sk = ss_cdemo_sk and customer_demographics.cd_marital_status = 'U' and customer_demographics.cd_education_status = 'Advanced Degree' and store_sales.ss_sales_price between 150.00 and 200.00 and household_demographics.hd_dep_count = 1 )) and((store_sales.ss_addr_sk = customer_address.ca_address_sk and customer_address.ca_country = 'United States' and customer_address.ca_state in ('KY', 'GA', 'NM') and store_sales.ss_net_profit between 100 and 200 ) or (store_sales.ss_addr_sk = customer_address.ca_address_sk and customer_address.ca_country = 'United States' and customer_address.ca_state in ('MT', 'OR', 'IN') and store_sales.ss_net_profit between 150 and 300 ) or (store_sales.ss_addr_sk = customer_address.ca_address_sk and customer_address.ca_country = 'United States' and customer_address.ca_state in ('WI', 'MO', 'WV') and store_sales.ss_net_profit between 50 and 250 ))    
query15.sql^select  ca_zip ,sum(cs_sales_price) from catalog_sales ,customer ,customer_address ,date_dim where catalog_sales.cs_bill_customer_sk = customer.c_customer_sk and customer.c_current_addr_sk = customer_address.ca_address_sk and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792') or customer_address.ca_state in ('CA','WA','GA') or catalog_sales.cs_sales_price > 500) and catalog_sales.cs_sold_date_sk = date_dim.d_date_sk and date_dim.d_qoy = 2 and date_dim.d_year = 2000 group by ca_zip order by ca_zip 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 = store_sales.ss_sold_date_sk and item.i_item_sk = store_sales.ss_item_sk and store.s_store_sk = store_sales.ss_store_sk and store_sales.ss_customer_sk = store_returns.sr_customer_sk and store_sales.ss_item_sk = store_returns.sr_item_sk and store_sales.ss_ticket_number = store_returns.sr_ticket_number and store_returns.sr_returned_date_sk = d2.d_date_sk and d2.d_quarter_name in ('2000Q1','2000Q2','2000Q3') and store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk and store_returns.sr_item_sk = catalog_sales.cs_item_sk and catalog_sales.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, date_dim, customer_demographics cd1, item, customer, customer_address, customer_demographics cd2 where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk and catalog_sales.cs_item_sk = item.i_item_sk and catalog_sales.cs_bill_cdemo_sk = cd1.cd_demo_sk and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk and cd1.cd_gender = 'M' and cd1.cd_education_status = 'College' and customer.c_current_cdemo_sk = cd2.cd_demo_sk and customer.c_current_addr_sk = customer_address.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 i_item_id, ca_country, ca_state, ca_county with rollup 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 date_dim.d_date_sk = store_sales.ss_sold_date_sk and store_sales.ss_item_sk = item.i_item_sk and i_manager_id=7 and d_moy=11 and d_year=1999 and store_sales.ss_customer_sk = customer.c_customer_sk and customer.c_current_addr_sk = customer_address.ca_address_sk and substr(ca_zip,1,5) <> substr(s_zip,1,5) and store_sales.ss_store_sk = store.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 catalog_sales.cs_item_sk = item.i_item_sk and i_category in ('Jewelry', 'Sports', 'Books') and catalog_sales.cs_sold_date_sk = date_dim.d_date_sk and d_date between '2001-01-12' and '2001-02-11' 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 item.i_item_sk          = inventory.inv_item_sk and inventory.inv_warehouse_sk   = warehouse.w_warehouse_sk and inventory.inv_date_sk    = date_dim.d_date_sk and d_date between '1998-03-09' and '1998-05-07' 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 
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 = 1998 and d1.d_date_sk = ss_sold_date_sk and i_item_sk = ss_item_sk and s_store_sk = ss_store_sk and ss_customer_sk = sr_customer_sk and ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number and sr_returned_date_sk = d2.d_date_sk and d2.d_moy               between 4 and  10 and d2.d_year              = 1998 and sr_customer_sk = cs_bill_customer_sk and sr_item_sk = cs_item_sk and cs_sold_date_sk = d3.d_date_sk and d3.d_moy               between 4 and  10 and d3.d_year              = 1998 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 catalog_sales.cs_sold_date_sk = date_dim.d_date_sk and catalog_sales.cs_item_sk = item.i_item_sk and catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk and catalog_sales.cs_promo_sk = promotion.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, 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 store_sales.ss_sold_date_sk = date_dim.d_date_sk and store_sales.ss_item_sk = item.i_item_sk and store_sales.ss_store_sk = store.s_store_sk and store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk and customer_demographics.cd_gender = 'F' and customer_demographics.cd_marital_status = 'D' and customer_demographics.cd_education_status = 'Unknown' and date_dim.d_year = 1998 and store.s_state in ('KS','AL', 'MN', 'AL', 'SC', 'VT') group by 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 
query32.sql^SELECT sum(cs1.cs_ext_discount_amt) as excess_discount_amount FROM (SELECT cs.cs_item_sk as cs_item_sk, cs.cs_ext_discount_amt as cs_ext_discount_amt FROM catalog_sales cs JOIN date_dim d ON (d.d_date_sk = cs.cs_sold_date_sk) WHERE d.d_date between '2000-01-27' and '2000-04-27') cs1 JOIN item i ON (i.i_item_sk = cs1.cs_item_sk) JOIN (SELECT cs2.cs_item_sk as cs_item_sk, 1.3 * avg(cs_ext_discount_amt) as avg_cs_ext_discount_amt FROM (SELECT cs.cs_item_sk as cs_item_sk, cs.cs_ext_discount_amt as cs_ext_discount_amt FROM catalog_sales cs JOIN date_dim d ON (d.d_date_sk = cs.cs_sold_date_sk) WHERE d.d_date between '2000-01-27' and '2000-04-27') cs2 GROUP BY cs2.cs_item_sk) tmp1 ON (i.i_item_sk = tmp1.cs_item_sk) WHERE i.i_manufact_id = 436 and cs1.cs_ext_discount_amt > tmp1.avg_cs_ext_discount_amt 
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 = '1001-5000' or household_demographics.hd_buy_potential = '5001-10000') 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 (1998,1998+1,1998+2) and store.s_county in ('Kittitas County','Adams County','Richland County','Furnas County', 'Orange County','Appanoose County','Franklin Parish','Tehama County') group by ss_ticket_number,ss_customer_sk) dn,customer where dn.ss_customer_sk = customer.c_customer_sk and cnt between 15 and 20 order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc 
query39_1.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=3 and inv2.d_moy=3+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_2.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=3 and inv2.d_moy=3+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 (catalog_sales.cs_order_number = catalog_returns.cr_order_number and catalog_sales.cs_item_sk = catalog_returns.cr_item_sk) ,warehouse ,item ,date_dim where i_current_price between 0.99 and 1.49 and item.i_item_sk          = catalog_sales.cs_item_sk and catalog_sales.cs_warehouse_sk    = warehouse.w_warehouse_sk and catalog_sales.cs_sold_date_sk    = date_dim.d_date_sk and date_dim.d_date between '1998-03-09' and '1998-05-08' group by w_state,i_item_id order by w_state,i_item_id limit 100   
query42.sql^select  dt.d_year ,item.i_category_id ,item.i_category ,sum(ss_ext_sales_price) as s 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       s 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 date_dim.d_date_sk = store_sales.ss_sold_date_sk and store.s_store_sk = store_sales.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   
query45.sql^select  ca_zip, ca_county, sum(ws_sales_price) from web_sales JOIN customer ON web_sales.ws_bill_customer_sk = customer.c_customer_sk JOIN customer_address ON customer.c_current_addr_sk = customer_address.ca_address_sk JOIN date_dim ON web_sales.ws_sold_date_sk = date_dim.d_date_sk JOIN item ON web_sales.ws_item_sk = item.i_item_sk where ( item.i_item_id in (select i_item_id from item i2 where i2.i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) ) ) 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 = 4 or household_demographics.hd_vehicle_count= 2) and date_dim.d_dow in (6,0) and date_dim.d_year in (1998,1998+1,1998+2) and store.s_city in ('Rosedale','Bethlehem','Clinton','Clifton','Springfield') group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr where dn.ss_customer_sk = customer.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   
query48.sql^select sum (ss_quantity) from store_sales, store, customer_demographics, customer_address, date_dim where store.s_store_sk = store_sales.ss_store_sk and  store_sales.ss_sold_date_sk = date_dim.d_date_sk and d_year = 1998 and ( ( customer_demographics.cd_demo_sk = store_sales.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 ( customer_demographics.cd_demo_sk = store_sales.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 ( customer_demographics.cd_demo_sk = store_sales.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 ( ( store_sales.ss_addr_sk = customer_address.ca_address_sk and ca_country = 'United States' and ca_state in ('KY', 'GA', 'NM') and ss_net_profit between 0 and 2000 ) or (store_sales.ss_addr_sk = customer_address.ca_address_sk and ca_country = 'United States' and ca_state in ('MT', 'OR', 'IN') and ss_net_profit between 150 and 3000 ) or (store_sales.ss_addr_sk = customer_address.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.ws_sold_date_sk = date_dim.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 all 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.cs_sold_date_sk = d_date_sk and d_year = 2000 and d_moy = 12 and cs.cs_sold_date_sk between '2000-12-01' and '2000-12-31' group by cs.cs_item_sk ) in_cat ) catalog where ( catalog.return_rank <= 10 or catalog.currency_rank <=10 ) union all 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 sts.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 30days ,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 3160days ,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 6190days ,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 91120days ,sum(case when (sr_returned_date_sk - ss_sold_date_sk  > 120) then 1 else 0 end)  as 120days from store_sales ,store_returns ,store ,date_dim d1 ,date_dim d2 where d2.d_year = 2000 and d2.d_moy  = 9 and store_sales.ss_ticket_number = store_returns.sr_ticket_number and store_sales.ss_item_sk = store_returns.sr_item_sk and store_sales.ss_sold_date_sk   = d1.d_date_sk and sr_returned_date_sk   = d2.d_date_sk and store_sales.ss_customer_sk = store_returns.sr_customer_sk and store_sales.ss_store_sk = store.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   
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   
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 date_dim.d_date_sk = store_sales.ss_sold_date_sk and store_sales.ss_item_sk = item.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   
query58.sql^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 ( select i_item_id item_id ,sum(ss_ext_sales_price) as ss_item_rev from store_sales JOIN item ON store_sales.ss_item_sk = item.i_item_sk JOIN date_dim ON store_sales.ss_sold_date_sk = date_dim.d_date_sk JOIN (select d1.d_date from date_dim d1 JOIN date_dim d2 ON d1.d_week_seq = d2.d_week_seq where d2.d_date = '1998-08-04') sub ON date_dim.d_date = sub.d_date group by i_item_id ) ss_items JOIN ( select i_item_id item_id ,sum(cs_ext_sales_price) as cs_item_rev from catalog_sales JOIN item ON catalog_sales.cs_item_sk = item.i_item_sk JOIN date_dim ON catalog_sales.cs_sold_date_sk = date_dim.d_date_sk JOIN (select d1.d_date from date_dim d1 JOIN date_dim d2 ON d1.d_week_seq = d2.d_week_seq where d2.d_date = '1998-08-04') sub ON date_dim.d_date = sub.d_date group by i_item_id ) cs_items ON ss_items.item_id=cs_items.item_id JOIN ( select i_item_id item_id ,sum(ws_ext_sales_price) as ws_item_rev from web_sales JOIN item ON web_sales.ws_item_sk = item.i_item_sk JOIN date_dim ON web_sales.ws_sold_date_sk = date_dim.d_date_sk JOIN (select d1.d_date from date_dim d1 JOIN date_dim d2 ON d1.d_week_seq = d2.d_week_seq where d2.d_date = '1998-08-04') sub ON date_dim.d_date = sub.d_date group by i_item_id ) ws_items ON ss_items.item_id=ws_items.item_id where 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  
query64.sql^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 (select i_product_name as product_name ,i_item_sk as item_sk ,s_store_name as store_name ,s_zip as store_zip ,ad1.ca_street_number as b_street_number ,ad1.ca_street_name as b_streen_name ,ad1.ca_city as b_city ,ad1.ca_zip as b_zip ,ad2.ca_street_number as c_street_number ,ad2.ca_street_name as c_street_name ,ad2.ca_city as c_city ,ad2.ca_zip as c_zip ,d1.d_year as syear ,d2.d_year as fsyear ,d3.d_year as s2year ,count(*) as cnt ,sum(ss_wholesale_cost) as s1 ,sum(ss_list_price) as s2 ,sum(ss_coupon_amt) as s3 FROM   store_sales JOIN store_returns ON store_sales.ss_item_sk = store_returns.sr_item_sk and store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN customer ON store_sales.ss_customer_sk = customer.c_customer_sk JOIN date_dim d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim d2 ON customer.c_first_sales_date_sk = d2.d_date_sk JOIN date_dim d3 ON customer.c_first_shipto_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN customer_demographics cd1 ON store_sales.ss_cdemo_sk= cd1.cd_demo_sk JOIN customer_demographics cd2 ON customer.c_current_cdemo_sk = cd2.cd_demo_sk JOIN promotion ON store_sales.ss_promo_sk = promotion.p_promo_sk JOIN household_demographics hd1 ON store_sales.ss_hdemo_sk = hd1.hd_demo_sk JOIN household_demographics hd2 ON customer.c_current_hdemo_sk = hd2.hd_demo_sk JOIN customer_address ad1 ON store_sales.ss_addr_sk = ad1.ca_address_sk JOIN customer_address ad2 ON customer.c_current_addr_sk = ad2.ca_address_sk JOIN income_band ib1 ON hd1.hd_income_band_sk = ib1.ib_income_band_sk JOIN income_band ib2 ON hd2.hd_income_band_sk = ib2.ib_income_band_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk JOIN (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 JOIN catalog_returns ON catalog_sales.cs_item_sk = catalog_returns.cr_item_sk and catalog_sales.cs_order_number = catalog_returns.cr_order_number group by cs_item_sk having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)) cs_ui ON store_sales.ss_item_sk = cs_ui.cs_item_sk WHERE cd1.cd_marital_status <> cd2.cd_marital_status and i_color in ('maroon','burnished','dim','steel','navajo','chocolate') and i_current_price between 36 and 45  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 ) cs1 JOIN (select i_product_name as product_name ,i_item_sk as item_sk ,s_store_name as store_name ,s_zip as store_zip ,ad1.ca_street_number as b_street_number ,ad1.ca_street_name as b_streen_name ,ad1.ca_city as b_city ,ad1.ca_zip as b_zip ,ad2.ca_street_number as c_street_number ,ad2.ca_street_name as c_street_name ,ad2.ca_city as c_city ,ad2.ca_zip as c_zip ,d1.d_year as syear ,d2.d_year as fsyear ,d3.d_year as s2year ,count(*) as cnt ,sum(ss_wholesale_cost) as s1 ,sum(ss_list_price) as s2 ,sum(ss_coupon_amt) as s3 FROM   store_sales JOIN store_returns ON store_sales.ss_item_sk = store_returns.sr_item_sk and store_sales.ss_ticket_number = store_returns.sr_ticket_number JOIN customer ON store_sales.ss_customer_sk = customer.c_customer_sk JOIN date_dim d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk JOIN date_dim d2 ON customer.c_first_sales_date_sk = d2.d_date_sk JOIN date_dim d3 ON customer.c_first_shipto_date_sk = d3.d_date_sk JOIN store ON store_sales.ss_store_sk = store.s_store_sk JOIN customer_demographics cd1 ON store_sales.ss_cdemo_sk= cd1.cd_demo_sk JOIN customer_demographics cd2 ON customer.c_current_cdemo_sk = cd2.cd_demo_sk JOIN promotion ON store_sales.ss_promo_sk = promotion.p_promo_sk JOIN household_demographics hd1 ON store_sales.ss_hdemo_sk = hd1.hd_demo_sk JOIN household_demographics hd2 ON customer.c_current_hdemo_sk = hd2.hd_demo_sk JOIN customer_address ad1 ON store_sales.ss_addr_sk = ad1.ca_address_sk JOIN customer_address ad2 ON customer.c_current_addr_sk = ad2.ca_address_sk JOIN income_band ib1 ON hd1.hd_income_band_sk = ib1.ib_income_band_sk JOIN income_band ib2 ON hd2.hd_income_band_sk = ib2.ib_income_band_sk JOIN item ON store_sales.ss_item_sk = item.i_item_sk JOIN (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 JOIN catalog_returns ON catalog_sales.cs_item_sk = catalog_returns.cr_item_sk and catalog_sales.cs_order_number = catalog_returns.cr_order_number group by cs_item_sk having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)) cs_ui ON store_sales.ss_item_sk = cs_ui.cs_item_sk WHERE 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 ) cs2 ON cs1.item_sk=cs2.item_sk where 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 
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 ,concat('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 web_sales.ws_warehouse_sk =  warehouse.w_warehouse_sk and web_sales.ws_sold_date_sk = date_dim.d_date_sk and web_sales.ws_sold_time_sk = time_dim.t_time_sk and web_sales.ws_ship_mode_sk = ship_mode.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 ,concat('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 catalog_sales.cs_warehouse_sk =  warehouse.w_warehouse_sk and catalog_sales.cs_sold_date_sk = date_dim.d_date_sk and catalog_sales.cs_sold_time_sk = time_dim.t_time_sk and catalog_sales.cs_ship_mode_sk = ship_mode.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   
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 = 4 or household_demographics.hd_vehicle_count= 2) and date_dim.d_year in (1998,1998+1,1998+2) and store.s_city in ('Rosedale','Bethlehem') group by ss_ticket_number ,ss_customer_sk ,ss_addr_sk,ca_city) dn ,customer ,customer_address current_addr where dn.ss_customer_sk = customer.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   
query71.sql^select i_brand_id brand_id, i_brand brand,t_hour,t_minute, sum(ext_price) ext_price from item JOIN (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 date_dim.d_date_sk = web_sales.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 date_dim.d_date_sk = catalog_sales.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 date_dim.d_date_sk = store_sales.ss_sold_date_sk and d_moy=12 and d_year=2001 ) tmp ON tmp.sold_item_sk = item.i_item_sk JOIN time_dim ON tmp.time_sk = time_dim.t_time_sk where i_manager_id=1 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    
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 = '1001-5000' or household_demographics.hd_buy_potential = '5001-10000') 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 (1998,1998+1,1998+2) and store.s_county in ('Kittitas County','Adams County','Richland County','Furnas County') group by ss_ticket_number,ss_customer_sk) dj,customer where dj.ss_customer_sk = customer.c_customer_sk and cnt between 1 and 5 order by cnt desc   
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 store_sales.ss_sold_date_sk=date_dim.d_date_sk AND store_sales.ss_item_sk=item.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 web_sales.ws_sold_date_sk=date_dim.d_date_sk AND web_sales.ws_item_sk=item.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 catalog_sales.cs_sold_date_sk=date_dim.d_date_sk AND catalog_sales.cs_item_sk=item.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   
query79.sql^select c_last_name,c_first_name,substr(s_city,1,30) sub,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 ms.ss_customer_sk = customer.c_customer_sk order by c_last_name,c_first_name,sub, profit limit 100   
query79.sql^select c_last_name,c_first_name,substr(s_city,1,30) sub,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 ms.ss_customer_sk = customer.c_customer_sk order by c_last_name,c_first_name,sub, profit limit 100   
query79.sql^select c_last_name,c_first_name,substr(s_city,1,30) sub,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 ms.ss_customer_sk = customer.c_customer_sk order by c_last_name,c_first_name,sub, profit limit 100   
query79.sql^select c_last_name,c_first_name,substr(s_city,1,30) sub,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 ms.ss_customer_sk = customer.c_customer_sk order by c_last_name,c_first_name,sub, profit 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 '2002-05-30' and '2002-07-30' 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 
query84.sql^select  c_customer_id as customer_id ,concat(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 customer.c_current_addr_sk = customer_address.ca_address_sk and ib_lower_bound   >=  32287 and ib_upper_bound   <=  32287 + 50000 and income_band.ib_income_band_sk = household_demographics.hd_income_band_sk and customer_demographics.cd_demo_sk = customer.c_current_cdemo_sk and household_demographics.hd_demo_sk = customer.c_current_hdemo_sk and store_returns.sr_cdemo_sk = customer_demographics.cd_demo_sk order by customer_id limit 100   
query85.sql^select  substr(r_reason_desc,1,20) as r ,avg(ws_quantity) wq ,avg(wr_refunded_cash) ref ,avg(wr_fee) fee from web_sales, web_returns, web_page, customer_demographics cd1, customer_demographics cd2, customer_address, date_dim, reason where web_sales.ws_web_page_sk = web_page.wp_web_page_sk and web_sales.ws_item_sk = web_returns.wr_item_sk and web_sales.ws_order_number = web_returns.wr_order_number and web_sales.ws_sold_date_sk = date_dim.d_date_sk and d_year = 1998 and cd1.cd_demo_sk = web_returns.wr_refunded_cdemo_sk and cd2.cd_demo_sk = web_returns.wr_returning_cdemo_sk and customer_address.ca_address_sk = web_returns.wr_refunded_addr_sk and reason.r_reason_sk = web_returns.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 r, wq, ref, fee limit 100   
query87.sql^select count(*) from (select distinct c_last_name as l1, c_first_name as f1, d_date as d1 from store_sales JOIN date_dim ON store_sales.ss_sold_date_sk = date_dim.d_date_sk JOIN customer ON store_sales.ss_customer_sk = customer.c_customer_sk where d_month_seq between 1193 and 1193+11 ) t1 LEFT OUTER JOIN ( select distinct c_last_name as l2, c_first_name as f2, d_date as d2 from catalog_sales JOIN date_dim ON catalog_sales.cs_sold_date_sk = date_dim.d_date_sk JOIN customer ON catalog_sales.cs_bill_customer_sk = customer.c_customer_sk where d_month_seq between 1193 and 1193+11 ) t2 ON t1.l1 = t2.l2 and t1.f1 = t2.f2 and t1.d1 = t2.d2 LEFT OUTER JOIN (select distinct c_last_name as l3, c_first_name as f3, d_date as d3 from web_sales JOIN date_dim ON web_sales.ws_sold_date_sk = date_dim.d_date_sk JOIN customer ON web_sales.ws_bill_customer_sk = customer.c_customer_sk where d_month_seq between 1193 and 1193+11 ) t3 ON t1.l1 = t3.l3 and t1.f1 = t3.f3 and t1.d1 = t3.d3 WHERE l2 is null and l3 is null 
query88.sql^select  * from (select count(*) h8_30_to_9 from store_sales, household_demographics , time_dim, store where store_sales.ss_sold_time_sk = time_dim.t_time_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and store_sales.ss_store_sk = store.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 store_sales.ss_sold_time_sk = time_dim.t_time_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and store_sales.ss_store_sk = store.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 store_sales.ss_sold_time_sk = time_dim.t_time_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and store_sales.ss_store_sk = store.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 store_sales.ss_sold_time_sk = time_dim.t_time_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and store_sales.ss_store_sk = store.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 store_sales.ss_sold_time_sk = time_dim.t_time_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and store_sales.ss_store_sk = store.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 store_sales.ss_sold_time_sk = time_dim.t_time_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and store_sales.ss_store_sk = store.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 store_sales.ss_sold_time_sk = time_dim.t_time_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and store_sales.ss_store_sk = store.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 store_sales.ss_sold_time_sk = time_dim.t_time_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and store_sales.ss_store_sk = store.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 store_sales.ss_item_sk = item.i_item_sk and store_sales.ss_sold_date_sk = date_dim.d_date_sk and store_sales.ss_store_sk = store.s_store_sk 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 catalog_returns.cr_call_center_sk       = call_center.cc_call_center_sk and     catalog_returns.cr_returned_date_sk     = date_dim.d_date_sk and     catalog_returns.cr_returning_customer_sk= customer.c_customer_sk and     customer_demographics.cd_demo_sk              = customer.c_current_cdemo_sk and     household_demographics.hd_demo_sk              = customer.c_current_hdemo_sk and     customer_address.ca_address_sk           = customer.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(case when ssci.customer_sk is not null and csci.customer_sk is null then 1 else 0 end) as store_only, sum(case when ssci.customer_sk is null and csci.customer_sk is not null then 1 else 0 end) as catalog_only, sum(case when ssci.customer_sk is not null and csci.customer_sk is not null then 1 else 0 end) as store_and_catalog FROM (SELECT ss.ss_customer_sk as customer_sk, ss.ss_item_sk as item_sk FROM store_sales ss JOIN date_dim d1 ON (ss.ss_sold_date_sk = d1.d_date_sk) WHERE d1.d_month_seq >= 1206 and d1.d_month_seq <= 1217 GROUP BY ss.ss_customer_sk, ss.ss_item_sk) ssci FULL OUTER JOIN (SELECT cs.cs_bill_customer_sk as customer_sk, cs.cs_item_sk as item_sk FROM catalog_sales cs JOIN date_dim d2 ON (cs.cs_sold_date_sk = d2.d_date_sk) WHERE d2.d_month_seq >= 1206 and d2.d_month_seq <= 1217 GROUP BY cs.cs_bill_customer_sk, cs.cs_item_sk) csci ON (ssci.customer_sk=csci.customer_sk and ssci.item_sk = csci.item_sk) 
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 (store_returns.sr_item_sk = store_sales.ss_item_sk and store_returns.sr_ticket_number = store_sales.ss_ticket_number) ,reason where store_returns.sr_reason_sk = reason.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 count(distinct ws_order_number) 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 count(distinct ws_order_number) limit 100;
query96.sql^select  count(*) as c from store_sales ,household_demographics ,time_dim, store where store_sales.ss_sold_time_sk = time_dim.t_time_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and store_sales.ss_store_sk = store.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 c limit 100   
query97.sql^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 ( select ss_customer_sk customer_sk ,ss_item_sk item_sk from store_sales JOIN date_dim ON store_sales.ss_sold_date_sk = date_dim.d_date_sk where d_month_seq between 1193 and 1193 + 11 group by ss_customer_sk ,ss_item_sk) ssci full outer join ( select cs_bill_customer_sk customer_sk ,cs_item_sk item_sk from catalog_sales JOIN date_dim ON catalog_sales.cs_sold_date_sk = date_dim.d_date_sk where d_month_seq between 1193 and 1193 + 11 group by cs_bill_customer_sk ,cs_item_sk) 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 store_sales.ss_item_sk = item.i_item_sk and i_category in ('Jewelry', 'Sports', 'Books') and store_sales.ss_sold_date_sk = date_dim.d_date_sk and d_date between cast('2001-01-12' as date) and (cast('2001-02-11' as date)) 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