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- -- TPC-DS v2.11.0
- -- ./dsqgen -DIRECTORY ../query_templates -INPUT ../query_templates/templates.lst -VERBOSE Y -QUALIFY Y -SCALE 10000 -DIALECT netezza -OUTPUT_DIR /tmp
- -- start query 1 in stream 0 using template query1.tpl
- 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;
- -- end query 1 in stream 0 using template query1.tpl
- -- start query 2 in stream 0 using template query2.tpl
- with wscs as
- (select sold_date_sk
- ,sales_price
- from (select ws_sold_date_sk sold_date_sk
- ,ws_ext_sales_price sales_price
- from web_sales
- union all
- select cs_sold_date_sk sold_date_sk
- ,cs_ext_sales_price sales_price
- from catalog_sales)),
- wswscs as
- (select d_week_seq,
- sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
- sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
- sum(case when (d_day_name='Tuesday') then sales_price else null end) tue_sales,
- sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
- sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
- sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
- sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
- from wscs
- ,date_dim
- where d_date_sk = sold_date_sk
- group by d_week_seq)
- select d_week_seq1
- ,round(sun_sales1/sun_sales2,2)
- ,round(mon_sales1/mon_sales2,2)
- ,round(tue_sales1/tue_sales2,2)
- ,round(wed_sales1/wed_sales2,2)
- ,round(thu_sales1/thu_sales2,2)
- ,round(fri_sales1/fri_sales2,2)
- ,round(sat_sales1/sat_sales2,2)
- from
- (select wswscs.d_week_seq d_week_seq1
- ,sun_sales sun_sales1
- ,mon_sales mon_sales1
- ,tue_sales tue_sales1
- ,wed_sales wed_sales1
- ,thu_sales thu_sales1
- ,fri_sales fri_sales1
- ,sat_sales sat_sales1
- from wswscs,date_dim
- where date_dim.d_week_seq = wswscs.d_week_seq and
- d_year = 1998) y,
- (select wswscs.d_week_seq d_week_seq2
- ,sun_sales sun_sales2
- ,mon_sales mon_sales2
- ,tue_sales tue_sales2
- ,wed_sales wed_sales2
- ,thu_sales thu_sales2
- ,fri_sales fri_sales2
- ,sat_sales sat_sales2
- from wswscs
- ,date_dim
- where date_dim.d_week_seq = wswscs.d_week_seq and
- d_year = 1998+1) z
- where d_week_seq1=d_week_seq2-53
- order by d_week_seq1;
- -- end query 2 in stream 0 using template query2.tpl
- -- start query 3 in stream 0 using template query3.tpl
- select dt.d_year
- ,item.i_brand_id brand_id
- ,item.i_brand brand
- ,sum(ss_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 = 816
- and dt.d_moy=11
- group by dt.d_year
- ,item.i_brand
- ,item.i_brand_id
- order by dt.d_year
- ,sum_agg desc
- ,brand_id
- limit 100;
- -- end query 3 in stream 0 using template query3.tpl
- -- start query 4 in stream 0 using template query4.tpl
- with year_total as (
- select c_customer_id customer_id
- ,c_first_name customer_first_name
- ,c_last_name customer_last_name
- ,c_preferred_cust_flag customer_preferred_cust_flag
- ,c_birth_country customer_birth_country
- ,c_login customer_login
- ,c_email_address customer_email_address
- ,d_year dyear
- ,sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total
- ,'s' sale_type
- from customer
- ,store_sales
- ,date_dim
- where c_customer_sk = ss_customer_sk
- and ss_sold_date_sk = d_date_sk
- group by c_customer_id
- ,c_first_name
- ,c_last_name
- ,c_preferred_cust_flag
- ,c_birth_country
- ,c_login
- ,c_email_address
- ,d_year
- union all
- select c_customer_id customer_id
- ,c_first_name customer_first_name
- ,c_last_name customer_last_name
- ,c_preferred_cust_flag customer_preferred_cust_flag
- ,c_birth_country customer_birth_country
- ,c_login customer_login
- ,c_email_address customer_email_address
- ,d_year dyear
- ,sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2) ) year_total
- ,'c' sale_type
- from customer
- ,catalog_sales
- ,date_dim
- where c_customer_sk = cs_bill_customer_sk
- and cs_sold_date_sk = d_date_sk
- group by c_customer_id
- ,c_first_name
- ,c_last_name
- ,c_preferred_cust_flag
- ,c_birth_country
- ,c_login
- ,c_email_address
- ,d_year
- union all
- select c_customer_id customer_id
- ,c_first_name customer_first_name
- ,c_last_name customer_last_name
- ,c_preferred_cust_flag customer_preferred_cust_flag
- ,c_birth_country customer_birth_country
- ,c_login customer_login
- ,c_email_address customer_email_address
- ,d_year dyear
- ,sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2) ) year_total
- ,'w' sale_type
- from customer
- ,web_sales
- ,date_dim
- where c_customer_sk = ws_bill_customer_sk
- and ws_sold_date_sk = d_date_sk
- group by c_customer_id
- ,c_first_name
- ,c_last_name
- ,c_preferred_cust_flag
- ,c_birth_country
- ,c_login
- ,c_email_address
- ,d_year
- )
- select
- t_s_secyear.customer_id
- ,t_s_secyear.customer_first_name
- ,t_s_secyear.customer_last_name
- ,t_s_secyear.customer_birth_country
- 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 = 1999
- and t_s_secyear.dyear = 1999+1
- and t_c_firstyear.dyear = 1999
- and t_c_secyear.dyear = 1999+1
- and t_w_firstyear.dyear = 1999
- and t_w_secyear.dyear = 1999+1
- and t_s_firstyear.year_total > 0
- and t_c_firstyear.year_total > 0
- and t_w_firstyear.year_total > 0
- and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
- > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
- and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
- > case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
- order by t_s_secyear.customer_id
- ,t_s_secyear.customer_first_name
- ,t_s_secyear.customer_last_name
- ,t_s_secyear.customer_birth_country
- limit 100;
- -- end query 4 in stream 0 using template query4.tpl
- -- start query 5 in stream 0 using template query5.tpl
- 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('2000-08-19' as date)
- and (cast('2000-08-19' as date) + 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('2000-08-19' as date)
- and (cast('2000-08-19' as date) + 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('2000-08-19' as date)
- and (cast('2000-08-19' as date) + 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;
- -- end query 5 in stream 0 using template query5.tpl
- -- start query 6 in stream 0 using template query6.tpl
- 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 = 2002
- and d_moy = 3 )
- 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, a.ca_state
- limit 100;
- -- end query 6 in stream 0 using template query6.tpl
- -- start query 7 in stream 0 using template query7.tpl
- 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 = 'College' and
- (p_channel_email = 'N' or p_channel_event = 'N') and
- d_year = 2001
- group by i_item_id
- order by i_item_id
- limit 100;
- -- end query 7 in stream 0 using template query7.tpl
- -- start query 8 in stream 0 using template query8.tpl
- 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 (
- '47602','16704','35863','28577','83910','36201',
- '58412','48162','28055','41419','80332',
- '38607','77817','24891','16226','18410',
- '21231','59345','13918','51089','20317',
- '17167','54585','67881','78366','47770',
- '18360','51717','73108','14440','21800',
- '89338','45859','65501','34948','25973',
- '73219','25333','17291','10374','18829',
- '60736','82620','41351','52094','19326',
- '25214','54207','40936','21814','79077',
- '25178','75742','77454','30621','89193',
- '27369','41232','48567','83041','71948',
- '37119','68341','14073','16891','62878',
- '49130','19833','24286','27700','40979',
- '50412','81504','94835','84844','71954',
- '39503','57649','18434','24987','12350',
- '86379','27413','44529','98569','16515',
- '27287','24255','21094','16005','56436',
- '91110','68293','56455','54558','10298',
- '83647','32754','27052','51766','19444',
- '13869','45645','94791','57631','20712',
- '37788','41807','46507','21727','71836',
- '81070','50632','88086','63991','20244',
- '31655','51782','29818','63792','68605',
- '94898','36430','57025','20601','82080',
- '33869','22728','35834','29086','92645',
- '98584','98072','11652','78093','57553',
- '43830','71144','53565','18700','90209',
- '71256','38353','54364','28571','96560',
- '57839','56355','50679','45266','84680',
- '34306','34972','48530','30106','15371',
- '92380','84247','92292','68852','13338',
- '34594','82602','70073','98069','85066',
- '47289','11686','98862','26217','47529',
- '63294','51793','35926','24227','14196',
- '24594','32489','99060','49472','43432',
- '49211','14312','88137','47369','56877',
- '20534','81755','15794','12318','21060',
- '73134','41255','63073','81003','73873',
- '66057','51184','51195','45676','92696',
- '70450','90669','98338','25264','38919',
- '59226','58581','60298','17895','19489',
- '52301','80846','95464','68770','51634',
- '19988','18367','18421','11618','67975',
- '25494','41352','95430','15734','62585',
- '97173','33773','10425','75675','53535',
- '17879','41967','12197','67998','79658',
- '59130','72592','14851','43933','68101',
- '50636','25717','71286','24660','58058',
- '72991','95042','15543','33122','69280',
- '11912','59386','27642','65177','17672',
- '33467','64592','36335','54010','18767',
- '63193','42361','49254','33113','33159',
- '36479','59080','11855','81963','31016',
- '49140','29392','41836','32958','53163',
- '13844','73146','23952','65148','93498',
- '14530','46131','58454','13376','13378',
- '83986','12320','17193','59852','46081',
- '98533','52389','13086','68843','31013',
- '13261','60560','13443','45533','83583',
- '11489','58218','19753','22911','25115',
- '86709','27156','32669','13123','51933',
- '39214','41331','66943','14155','69998',
- '49101','70070','35076','14242','73021',
- '59494','15782','29752','37914','74686',
- '83086','34473','15751','81084','49230',
- '91894','60624','17819','28810','63180',
- '56224','39459','55233','75752','43639',
- '55349','86057','62361','50788','31830',
- '58062','18218','85761','60083','45484',
- '21204','90229','70041','41162','35390',
- '16364','39500','68908','26689','52868',
- '81335','40146','11340','61527','61794',
- '71997','30415','59004','29450','58117',
- '69952','33562','83833','27385','61860',
- '96435','48333','23065','32961','84919',
- '61997','99132','22815','56600','68730',
- '48017','95694','32919','88217','27116',
- '28239','58032','18884','16791','21343',
- '97462','18569','75660','15475')
- intersect
- select ca_zip
- from (SELECT substr(ca_zip,1,5) ca_zip,count(*) cnt
- FROM customer_address, customer
- WHERE ca_address_sk = c_current_addr_sk and
- c_preferred_cust_flag='Y'
- group by ca_zip
- having count(*) > 10)A1)A2) V1
- where ss_store_sk = s_store_sk
- and ss_sold_date_sk = d_date_sk
- and d_qoy = 2 and d_year = 1998
- and (substr(s_zip,1,2) = substr(V1.ca_zip,1,2))
- group by s_store_name
- order by s_store_name
- limit 100;
- -- end query 8 in stream 0 using template query8.tpl
- -- start query 9 in stream 0 using template query9.tpl
- select case when (select count(*)
- from store_sales
- where ss_quantity between 1 and 20) > 98972190
- then (select avg(ss_ext_discount_amt)
- from store_sales
- where ss_quantity between 1 and 20)
- else (select avg(ss_net_profit)
- from store_sales
- where ss_quantity between 1 and 20) end bucket1 ,
- case when (select count(*)
- from store_sales
- where ss_quantity between 21 and 40) > 160856845
- then (select avg(ss_ext_discount_amt)
- from store_sales
- where ss_quantity between 21 and 40)
- else (select avg(ss_net_profit)
- from store_sales
- where ss_quantity between 21 and 40) end bucket2,
- case when (select count(*)
- from store_sales
- where ss_quantity between 41 and 60) > 12733327
- then (select avg(ss_ext_discount_amt)
- from store_sales
- where ss_quantity between 41 and 60)
- else (select avg(ss_net_profit)
- from store_sales
- where ss_quantity between 41 and 60) end bucket3,
- case when (select count(*)
- from store_sales
- where ss_quantity between 61 and 80) > 96251173
- then (select avg(ss_ext_discount_amt)
- from store_sales
- where ss_quantity between 61 and 80)
- else (select avg(ss_net_profit)
- from store_sales
- where ss_quantity between 61 and 80) end bucket4,
- case when (select count(*)
- from store_sales
- where ss_quantity between 81 and 100) > 80049606
- then (select avg(ss_ext_discount_amt)
- from store_sales
- where ss_quantity between 81 and 100)
- else (select avg(ss_net_profit)
- from store_sales
- where ss_quantity between 81 and 100) end bucket5
- from reason
- where r_reason_sk = 1
- ;
- -- end query 9 in stream 0 using template query9.tpl
- -- start query 10 in stream 0 using template query10.tpl
- 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 ('Fillmore County','McPherson County','Bonneville County','Boone County','Brown 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 = 2000 and
- d_moy between 3 and 3+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 = 2000 and
- d_moy between 3 ANd 3+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 = 2000 and
- d_moy between 3 and 3+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;
- -- end query 10 in stream 0 using template query10.tpl
- -- start query 11 in stream 0 using template query11.tpl
- with year_total as (
- select c_customer_id customer_id
- ,c_first_name customer_first_name
- ,c_last_name customer_last_name
- ,c_preferred_cust_flag customer_preferred_cust_flag
- ,c_birth_country customer_birth_country
- ,c_login customer_login
- ,c_email_address customer_email_address
- ,d_year dyear
- ,sum(ss_ext_list_price-ss_ext_discount_amt) year_total
- ,'s' sale_type
- from customer
- ,store_sales
- ,date_dim
- where c_customer_sk = ss_customer_sk
- and ss_sold_date_sk = d_date_sk
- group by c_customer_id
- ,c_first_name
- ,c_last_name
- ,c_preferred_cust_flag
- ,c_birth_country
- ,c_login
- ,c_email_address
- ,d_year
- union all
- select c_customer_id customer_id
- ,c_first_name customer_first_name
- ,c_last_name customer_last_name
- ,c_preferred_cust_flag customer_preferred_cust_flag
- ,c_birth_country customer_birth_country
- ,c_login customer_login
- ,c_email_address customer_email_address
- ,d_year dyear
- ,sum(ws_ext_list_price-ws_ext_discount_amt) year_total
- ,'w' sale_type
- from customer
- ,web_sales
- ,date_dim
- where c_customer_sk = ws_bill_customer_sk
- and ws_sold_date_sk = d_date_sk
- group by c_customer_id
- ,c_first_name
- ,c_last_name
- ,c_preferred_cust_flag
- ,c_birth_country
- ,c_login
- ,c_email_address
- ,d_year
- )
- select
- t_s_secyear.customer_id
- ,t_s_secyear.customer_first_name
- ,t_s_secyear.customer_last_name
- ,t_s_secyear.customer_birth_country
- from year_total t_s_firstyear
- ,year_total t_s_secyear
- ,year_total t_w_firstyear
- ,year_total t_w_secyear
- where t_s_secyear.customer_id = t_s_firstyear.customer_id
- and t_s_firstyear.customer_id = t_w_secyear.customer_id
- and t_s_firstyear.customer_id = t_w_firstyear.customer_id
- and t_s_firstyear.sale_type = 's'
- and t_w_firstyear.sale_type = 'w'
- and t_s_secyear.sale_type = 's'
- and t_w_secyear.sale_type = 'w'
- and t_s_firstyear.dyear = 1999
- and t_s_secyear.dyear = 1999+1
- and t_w_firstyear.dyear = 1999
- and t_w_secyear.dyear = 1999+1
- and t_s_firstyear.year_total > 0
- and t_w_firstyear.year_total > 0
- and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else 0.0 end
- > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else 0.0 end
- order by t_s_secyear.customer_id
- ,t_s_secyear.customer_first_name
- ,t_s_secyear.customer_last_name
- ,t_s_secyear.customer_birth_country
- limit 100;
- -- end query 11 in stream 0 using template query11.tpl
- -- start query 12 in stream 0 using template query12.tpl
- select i_item_id
- ,i_item_desc
- ,i_category
- ,i_class
- ,i_current_price
- ,sum(ws_ext_sales_price) as itemrevenue
- ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
- (partition by i_class) as revenueratio
- from
- web_sales
- ,item
- ,date_dim
- where
- ws_item_sk = i_item_sk
- and i_category in ('Electronics', 'Books', 'Women')
- and ws_sold_date_sk = d_date_sk
- and d_date between cast('1998-01-06' as date)
- and (cast('1998-01-06' as date) + 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;
- -- end query 12 in stream 0 using template query12.tpl
- -- start query 13 in stream 0 using template query13.tpl
- select avg(ss_quantity)
- ,avg(ss_ext_sales_price)
- ,avg(ss_ext_wholesale_cost)
- ,sum(ss_ext_wholesale_cost)
- from store_sales
- ,store
- ,customer_demographics
- ,household_demographics
- ,customer_address
- ,date_dim
- where s_store_sk = ss_store_sk
- and ss_sold_date_sk = d_date_sk and d_year = 2001
- and((ss_hdemo_sk=hd_demo_sk
- and cd_demo_sk = ss_cdemo_sk
- and cd_marital_status = 'U'
- and cd_education_status = 'Secondary'
- 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 = 'W'
- and cd_education_status = 'College'
- and ss_sales_price between 50.00 and 100.00
- and hd_dep_count = 1
- ) or
- (ss_hdemo_sk=hd_demo_sk
- and cd_demo_sk = ss_cdemo_sk
- and cd_marital_status = 'D'
- and cd_education_status = 'Primary'
- 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 ('TX', 'OK', 'MI')
- and ss_net_profit between 100 and 200
- ) or
- (ss_addr_sk = ca_address_sk
- and ca_country = 'United States'
- and ca_state in ('WA', 'NC', 'OH')
- and ss_net_profit between 150 and 300
- ) or
- (ss_addr_sk = ca_address_sk
- and ca_country = 'United States'
- and ca_state in ('MT', 'FL', 'GA')
- and ss_net_profit between 50 and 250
- ))
- ;
- -- end query 13 in stream 0 using template query13.tpl
- -- start query 14 in stream 0 using template query14.tpl
- 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 2000 AND 2000 + 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 2000 AND 2000 + 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 2000 AND 2000 + 2)
- where i_brand_id = brand_id
- and i_class_id = class_id
- and i_category_id = category_id
- ),
- avg_sales as
- (select avg(quantity*list_price) average_sales
- from (select ss_quantity quantity
- ,ss_list_price list_price
- from store_sales
- ,date_dim
- where ss_sold_date_sk = d_date_sk
- and d_year between 2000 and 2000 + 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 2000 and 2000 + 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 2000 and 2000 + 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 = 2000+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 = 2000+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 = 2000+2
- and d_moy = 11
- group by i_brand_id,i_class_id,i_category_id
- having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales)
- ) y
- group by rollup (channel, i_brand_id,i_class_id,i_category_id)
- order by channel,i_brand_id,i_class_id,i_category_id
- limit 100;
- with 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 2000 AND 2000 + 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 2000 AND 2000 + 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 2000 AND 2000 + 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 2000 and 2000 + 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 2000 and 2000 + 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 2000 and 2000 + 2) x)
- select this_year.channel ty_channel
- ,this_year.i_brand_id ty_brand
- ,this_year.i_class_id ty_class
- ,this_year.i_category_id ty_category
- ,this_year.sales ty_sales
- ,this_year.number_sales ty_number_sales
- ,last_year.channel ly_channel
- ,last_year.i_brand_id ly_brand
- ,last_year.i_class_id ly_class
- ,last_year.i_category_id ly_category
- ,last_year.sales ly_sales
- ,last_year.number_sales ly_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_week_seq = (select d_week_seq
- from date_dim
- where d_year = 2000 + 1
- and d_moy = 12
- and d_dom = 15)
- 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 = 2000
- and d_moy = 12
- and d_dom = 15)
- 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;
- -- end query 14 in stream 0 using template query14.tpl
- -- start query 15 in stream 0 using template query15.tpl
- 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 = 1998
- group by ca_zip
- order by ca_zip
- limit 100;
- -- end query 15 in stream 0 using template query15.tpl
- -- start query 16 in stream 0 using template query16.tpl
- 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 '1999-4-01' and
- (cast('1999-4-01' as date) + 60 days)
- and cs1.cs_ship_date_sk = d_date_sk
- and cs1.cs_ship_addr_sk = ca_address_sk
- and ca_state = 'IL'
- and cs1.cs_call_center_sk = cc_call_center_sk
- and cc_county in ('Richland County','Bronx County','Maverick County','Mesa County',
- 'Raleigh County'
- )
- and exists (select *
- from catalog_sales cs2
- where cs1.cs_order_number = cs2.cs_order_number
- and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
- and not exists(select *
- from catalog_returns cr1
- where cs1.cs_order_number = cr1.cr_order_number)
- order by count(distinct cs_order_number)
- limit 100;
- -- end query 16 in stream 0 using template query16.tpl
- -- start query 17 in stream 0 using template query17.tpl
- 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) 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;
- -- end query 17 in stream 0 using template query17.tpl
- -- start query 18 in stream 0 using template query18.tpl
- 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 = 'Unknown' and
- c_current_cdemo_sk = cd2.cd_demo_sk and
- c_current_addr_sk = ca_address_sk and
- c_birth_month in (5,1,4,7,8,9) and
- d_year = 2002 and
- ca_state in ('AR','TX','NC'
- ,'GA','MS','WV','AL')
- 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;
- -- end query 18 in stream 0 using template query18.tpl
- -- start query 19 in stream 0 using template query19.tpl
- 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=16
- and d_moy=12
- and d_year=1998
- 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 ;
- -- end query 19 in stream 0 using template query19.tpl
- -- start query 20 in stream 0 using template query20.tpl
- select i_item_id
- ,i_item_desc
- ,i_category
- ,i_class
- ,i_current_price
- ,sum(cs_ext_sales_price) as itemrevenue
- ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over
- (partition by i_class) as revenueratio
- from catalog_sales
- ,item
- ,date_dim
- where cs_item_sk = i_item_sk
- and i_category in ('Shoes', 'Electronics', 'Children')
- and cs_sold_date_sk = d_date_sk
- and d_date between cast('2001-03-14' as date)
- and (cast('2001-03-14' as date) + 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;
- -- end query 20 in stream 0 using template query20.tpl
- -- start query 21 in stream 0 using template query21.tpl
- select *
- from(select w_warehouse_name
- ,i_item_id
- ,sum(case when (cast(d_date as date) < cast ('1999-03-20' as date))
- then inv_quantity_on_hand
- else 0 end) as inv_before
- ,sum(case when (cast(d_date as date) >= cast ('1999-03-20' 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 ('1999-03-20' as date) - 30 days)
- and (cast ('1999-03-20' as date) + 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;
- -- end query 21 in stream 0 using template query21.tpl
- -- start query 22 in stream 0 using template query22.tpl
- select i_product_name
- ,i_brand
- ,i_class
- ,i_category
- ,avg(inv_quantity_on_hand) qoh
- from inventory
- ,date_dim
- ,item
- where inv_date_sk=d_date_sk
- and inv_item_sk=i_item_sk
- and d_month_seq between 1186 and 1186 + 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;
- -- end query 22 in stream 0 using template query22.tpl
- -- start query 23 in stream 0 using template query23.tpl
- 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 (2000,2000+1,2000+2,2000+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 (2000,2000+1,2000+2,2000+3)
- group by c_customer_sk)),
- best_ss_customer as
- (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
- from store_sales
- ,customer
- where ss_customer_sk = c_customer_sk
- group by c_customer_sk
- having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
- *
- from
- max_store_sales))
- select sum(sales)
- from (select cs_quantity*cs_list_price sales
- from catalog_sales
- ,date_dim
- where d_year = 2000
- and d_moy = 3
- 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 = 2000
- and d_moy = 3
- and ws_sold_date_sk = d_date_sk
- and ws_item_sk in (select item_sk from frequent_ss_items)
- and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer))
- limit 100;
- with frequent_ss_items as
- (select 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 (2000,2000 + 1,2000 + 2,2000 + 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 (2000,2000+1,2000+2,2000+3)
- group by c_customer_sk)),
- best_ss_customer as
- (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
- from store_sales
- ,customer
- where ss_customer_sk = c_customer_sk
- group by c_customer_sk
- having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
- *
- from max_store_sales))
- select 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 = 2000
- and d_moy = 3
- 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 = 2000
- and d_moy = 3
- 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)
- order by c_last_name,c_first_name,sales
- limit 100;
- -- end query 23 in stream 0 using template query23.tpl
- -- start query 24 in stream 0 using template query24.tpl
- 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_current_addr_sk = ca_address_sk
- and c_birth_country <> upper(ca_country)
- and s_zip = ca_zip
- and s_market_id=10
- 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 = 'snow'
- group by c_last_name
- ,c_first_name
- ,s_store_name
- having sum(netpaid) > (select 0.05*avg(netpaid)
- from ssales)
- order by c_last_name
- ,c_first_name
- ,s_store_name
- ;
- 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_current_addr_sk = ca_address_sk
- and c_birth_country <> upper(ca_country)
- and s_zip = ca_zip
- and s_market_id = 10
- 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)
- order by c_last_name
- ,c_first_name
- ,s_store_name
- ;
- -- end query 24 in stream 0 using template query24.tpl
- -- start query 25 in stream 0 using template query25.tpl
- 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;
- -- end query 25 in stream 0 using template query25.tpl
- -- start query 26 in stream 0 using template query26.tpl
- 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 = 'S' and
- cd_education_status = 'College' 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;
- -- end query 26 in stream 0 using template query26.tpl
- -- start query 27 in stream 0 using template query27.tpl
- 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 = 'F' and
- cd_marital_status = 'U' and
- cd_education_status = '2 yr Degree' and
- d_year = 2000 and
- s_state in ('AL','IN', 'SC', 'NY', 'OH', 'FL')
- group by rollup (i_item_id, s_state)
- order by i_item_id
- ,s_state
- limit 100;
- -- end query 27 in stream 0 using template query27.tpl
- -- start query 28 in stream 0 using template query28.tpl
- 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 73 and 73+10
- or ss_coupon_amt between 7826 and 7826+1000
- or ss_wholesale_cost between 70 and 70+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 152 and 152+10
- or ss_coupon_amt between 2196 and 2196+1000
- or ss_wholesale_cost between 56 and 56+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 53 and 53+10
- or ss_coupon_amt between 3430 and 3430+1000
- or ss_wholesale_cost between 13 and 13+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 182 and 182+10
- or ss_coupon_amt between 3262 and 3262+1000
- or ss_wholesale_cost between 20 and 20+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 85 and 85+10
- or ss_coupon_amt between 3310 and 3310+1000
- or ss_wholesale_cost between 37 and 37+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 180 and 180+10
- or ss_coupon_amt between 12592 and 12592+1000
- or ss_wholesale_cost between 22 and 22+20)) B6
- limit 100;
- -- end query 28 in stream 0 using template query28.tpl
- -- start query 29 in stream 0 using template query29.tpl
- select
- i_item_id
- ,i_item_desc
- ,s_store_id
- ,s_store_name
- ,stddev_samp(ss_quantity) as store_sales_quantity
- ,stddev_samp(sr_return_quantity) as store_returns_quantity
- ,stddev_samp(cs_quantity) as catalog_sales_quantity
- from
- store_sales
- ,store_returns
- ,catalog_sales
- ,date_dim d1
- ,date_dim d2
- ,date_dim d3
- ,store
- ,item
- where
- d1.d_moy = 4
- and d1.d_year = 1998
- and d1.d_date_sk = ss_sold_date_sk
- and i_item_sk = ss_item_sk
- and s_store_sk = ss_store_sk
- and ss_customer_sk = sr_customer_sk
- and ss_item_sk = sr_item_sk
- and ss_ticket_number = sr_ticket_number
- and sr_returned_date_sk = d2.d_date_sk
- and d2.d_moy between 4 and 4 + 3
- and d2.d_year = 1998
- and sr_customer_sk = cs_bill_customer_sk
- and sr_item_sk = cs_item_sk
- and cs_sold_date_sk = d3.d_date_sk
- and d3.d_year in (1998,1998+1,1998+2)
- group by
- i_item_id
- ,i_item_desc
- ,s_store_id
- ,s_store_name
- order by
- i_item_id
- ,i_item_desc
- ,s_store_id
- ,s_store_name
- limit 100;
- -- end query 29 in stream 0 using template query29.tpl
- -- start query 30 in stream 0 using template query30.tpl
- with customer_total_return as
- (select wr_returning_customer_sk as ctr_customer_sk
- ,ca_state as ctr_state,
- sum(wr_return_amt) as ctr_total_return
- from web_returns
- ,date_dim
- ,customer_address
- where wr_returned_date_sk = d_date_sk
- and d_year =2000
- and wr_returning_addr_sk = ca_address_sk
- group by wr_returning_customer_sk
- ,ca_state)
- select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
- ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
- ,c_last_review_date_sk,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 = 'GA'
- 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_sk,ctr_total_return
- limit 100;
- -- end query 30 in stream 0 using template query30.tpl
- -- start query 31 in stream 0 using template query31.tpl
- 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 = 1999
- and ss1.ca_county = ss2.ca_county
- and ss2.d_qoy = 2
- and ss2.d_year = 1999
- and ss2.ca_county = ss3.ca_county
- and ss3.d_qoy = 3
- and ss3.d_year = 1999
- and ss1.ca_county = ws1.ca_county
- and ws1.d_qoy = 1
- and ws1.d_year = 1999
- and ws1.ca_county = ws2.ca_county
- and ws2.d_qoy = 2
- and ws2.d_year = 1999
- and ws1.ca_county = ws3.ca_county
- and ws3.d_qoy = 3
- and ws3.d_year =1999
- 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;
- -- end query 31 in stream 0 using template query31.tpl
- -- start query 32 in stream 0 using template query32.tpl
- select sum(cs_ext_discount_amt) as "excess discount amount"
- from
- catalog_sales
- ,item
- ,date_dim
- where
- i_manufact_id = 66
- and i_item_sk = cs_item_sk
- and d_date between '2002-03-29' and
- (cast('2002-03-29' as date) + 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 '2002-03-29' and
- (cast('2002-03-29' as date) + 90 days)
- and d_date_sk = cs_sold_date_sk
- )
- limit 100;
- -- end query 32 in stream 0 using template query32.tpl
- -- start query 33 in stream 0 using template query33.tpl
- 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 ('Home'))
- and ss_item_sk = i_item_sk
- and ss_sold_date_sk = d_date_sk
- and d_year = 1998
- and d_moy = 5
- 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 ('Home'))
- and cs_item_sk = i_item_sk
- and cs_sold_date_sk = d_date_sk
- and d_year = 1998
- and d_moy = 5
- 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 ('Home'))
- and ws_item_sk = i_item_sk
- and ws_sold_date_sk = d_date_sk
- and d_year = 1998
- and d_moy = 5
- 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;
- -- end query 33 in stream 0 using template query33.tpl
- -- start query 34 in stream 0 using template query34.tpl
- 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 ('Salem County','Terrell County','Arthur County','Oglethorpe County',
- 'Lunenburg County','Perry County','Halifax County','Sumner 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, ss_ticket_number;
- -- end query 34 in stream 0 using template query34.tpl
- -- start query 35 in stream 0 using template query35.tpl
- select
- ca_state,
- cd_gender,
- cd_marital_status,
- cd_dep_count,
- count(*) cnt1,
- avg(cd_dep_count),
- min(cd_dep_count),
- stddev_samp(cd_dep_count),
- cd_dep_employed_count,
- count(*) cnt2,
- avg(cd_dep_employed_count),
- min(cd_dep_employed_count),
- stddev_samp(cd_dep_employed_count),
- cd_dep_college_count,
- count(*) cnt3,
- avg(cd_dep_college_count),
- min(cd_dep_college_count),
- stddev_samp(cd_dep_college_count)
- from
- customer c,customer_address ca,customer_demographics
- where
- c.c_current_addr_sk = ca.ca_address_sk and
- cd_demo_sk = c.c_current_cdemo_sk and
- exists (select *
- from store_sales,date_dim
- where c.c_customer_sk = ss_customer_sk and
- ss_sold_date_sk = d_date_sk and
- d_year = 2001 and
- d_qoy < 4) and
- (exists (select *
- from web_sales,date_dim
- where c.c_customer_sk = ws_bill_customer_sk and
- ws_sold_date_sk = d_date_sk and
- d_year = 2001 and
- d_qoy < 4) or
- exists (select *
- from catalog_sales,date_dim
- where c.c_customer_sk = cs_ship_customer_sk and
- cs_sold_date_sk = d_date_sk and
- d_year = 2001 and
- d_qoy < 4))
- group by ca_state,
- cd_gender,
- cd_marital_status,
- cd_dep_count,
- cd_dep_employed_count,
- cd_dep_college_count
- order by ca_state,
- cd_gender,
- cd_marital_status,
- cd_dep_count,
- cd_dep_employed_count,
- cd_dep_college_count
- limit 100;
- -- end query 35 in stream 0 using template query35.tpl
- -- start query 36 in stream 0 using template query36.tpl
- 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 ('IN','AL','MI','MN',
- 'TN','LA','FL','NM')
- group by rollup(i_category,i_class)
- order by
- lochierarchy desc
- ,case when lochierarchy = 0 then i_category end
- ,rank_within_parent
- limit 100;
- -- end query 36 in stream 0 using template query36.tpl
- -- start query 37 in stream 0 using template query37.tpl
- select i_item_id
- ,i_item_desc
- ,i_current_price
- from item, inventory, date_dim, catalog_sales
- where i_current_price between 39 and 39 + 30
- and inv_item_sk = i_item_sk
- and d_date_sk=inv_date_sk
- and d_date between cast('2001-01-16' as date) and (cast('2001-01-16' as date) + 60 days)
- and i_manufact_id in (765,886,889,728)
- 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;
- -- end query 37 in stream 0 using template query37.tpl
- -- start query 38 in stream 0 using template query38.tpl
- 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 1186 and 1186 + 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 1186 and 1186 + 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 1186 and 1186 + 11
- ) hot_cust
- limit 100;
- -- end query 38 in stream 0 using template query38.tpl
- -- start query 39 in stream 0 using template query39.tpl
- 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 =2000
- 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=2
- and inv2.d_moy=2+1
- order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
- ,inv2.d_moy,inv2.mean, inv2.cov
- ;
- with 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 =2000
- 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=2
- and inv2.d_moy=2+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
- ;
- -- end query 39 in stream 0 using template query39.tpl
- -- start query 40 in stream 0 using template query40.tpl
- select
- w_state
- ,i_item_id
- ,sum(case when (cast(d_date as date) < cast ('2000-03-18' 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 ('2000-03-18' 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 ('2000-03-18' as date) - 30 days)
- and (cast ('2000-03-18' as date) + 30 days)
- group by
- w_state,i_item_id
- order by w_state,i_item_id
- limit 100;
- -- end query 40 in stream 0 using template query40.tpl
- -- start query 41 in stream 0 using template query41.tpl
- select distinct(i_product_name)
- from item i1
- where i_manufact_id between 970 and 970+40
- and (select count(*) as item_cnt
- from item
- where (i_manufact = i1.i_manufact and
- ((i_category = 'Women' and
- (i_color = 'frosted' or i_color = 'rose') and
- (i_units = 'Lb' or i_units = 'Gross') and
- (i_size = 'medium' or i_size = 'large')
- ) or
- (i_category = 'Women' and
- (i_color = 'chocolate' or i_color = 'black') and
- (i_units = 'Box' or i_units = 'Dram') and
- (i_size = 'economy' or i_size = 'petite')
- ) or
- (i_category = 'Men' and
- (i_color = 'slate' or i_color = 'magenta') and
- (i_units = 'Carton' or i_units = 'Bundle') and
- (i_size = 'N/A' or i_size = 'small')
- ) or
- (i_category = 'Men' and
- (i_color = 'cornflower' or i_color = 'firebrick') and
- (i_units = 'Pound' or i_units = 'Oz') and
- (i_size = 'medium' or i_size = 'large')
- ))) or
- (i_manufact = i1.i_manufact and
- ((i_category = 'Women' and
- (i_color = 'almond' or i_color = 'steel') and
- (i_units = 'Tsp' or i_units = 'Case') and
- (i_size = 'medium' or i_size = 'large')
- ) or
- (i_category = 'Women' and
- (i_color = 'purple' or i_color = 'aquamarine') and
- (i_units = 'Bunch' or i_units = 'Gram') and
- (i_size = 'economy' or i_size = 'petite')
- ) or
- (i_category = 'Men' and
- (i_color = 'lavender' or i_color = 'papaya') and
- (i_units = 'Pallet' or i_units = 'Cup') and
- (i_size = 'N/A' or i_size = 'small')
- ) or
- (i_category = 'Men' and
- (i_color = 'maroon' or i_color = 'cyan') and
- (i_units = 'Each' or i_units = 'N/A') and
- (i_size = 'medium' or i_size = 'large')
- )))) > 0
- order by i_product_name
- limit 100;
- -- end query 41 in stream 0 using template query41.tpl
- -- start query 42 in stream 0 using template query42.tpl
- select dt.d_year
- ,item.i_category_id
- ,item.i_category
- ,sum(ss_ext_sales_price)
- from date_dim dt
- ,store_sales
- ,item
- where dt.d_date_sk = store_sales.ss_sold_date_sk
- and store_sales.ss_item_sk = item.i_item_sk
- and item.i_manager_id = 1
- and dt.d_moy=12
- and dt.d_year=1998
- group by dt.d_year
- ,item.i_category_id
- ,item.i_category
- order by sum(ss_ext_sales_price) desc,dt.d_year
- ,item.i_category_id
- ,item.i_category
- limit 100 ;
- -- end query 42 in stream 0 using template query42.tpl
- -- start query 43 in stream 0 using template query43.tpl
- 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 = 2001
- 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;
- -- end query 43 in stream 0 using template query43.tpl
- -- start query 44 in stream 0 using template query44.tpl
- 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 = 366
- 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 = 366
- and ss_cdemo_sk is null
- group by ss_store_sk))V1)V11
- where rnk < 11) asceding,
- (select *
- from (select item_sk,rank() over (order by rank_col desc) rnk
- from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col
- from store_sales ss1
- where ss_store_sk = 366
- 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 = 366
- and ss_cdemo_sk is null
- group by ss_store_sk))V2)V21
- where rnk < 11) descending,
- item i1,
- item i2
- where asceding.rnk = descending.rnk
- and i1.i_item_sk=asceding.item_sk
- and i2.i_item_sk=descending.item_sk
- order by asceding.rnk
- limit 100;
- -- end query 44 in stream 0 using template query44.tpl
- -- start query 45 in stream 0 using template query45.tpl
- 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 = 1 and d_year = 1998
- group by ca_zip, ca_county
- order by ca_zip, ca_county
- limit 100;
- -- end query 45 in stream 0 using template query45.tpl
- -- start query 46 in stream 0 using template query46.tpl
- 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 = 0 or
- household_demographics.hd_vehicle_count= 1)
- and date_dim.d_dow in (6,0)
- and date_dim.d_year in (2000,2000+1,2000+2)
- and store.s_city in ('Five Forks','Oakland','Fairview','Winchester','Farmington')
- 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;
- -- end query 46 in stream 0 using template query46.tpl
- -- start query 47 in stream 0 using template query47.tpl
- with v1 as(
- select i_category, i_brand,
- s_store_name, s_company_name,
- d_year, d_moy,
- sum(ss_sales_price) sum_sales,
- avg(sum(ss_sales_price)) over
- (partition by i_category, i_brand,
- s_store_name, s_company_name, d_year)
- avg_monthly_sales,
- rank() over
- (partition by i_category, i_brand,
- s_store_name, s_company_name
- order by d_year, d_moy) rn
- from item, store_sales, date_dim, store
- where ss_item_sk = i_item_sk and
- ss_sold_date_sk = d_date_sk and
- ss_store_sk = s_store_sk and
- (
- d_year = 1999 or
- ( d_year = 1999-1 and d_moy =12) or
- ( d_year = 1999+1 and d_moy =1)
- )
- group by i_category, i_brand,
- s_store_name, s_company_name,
- d_year, d_moy),
- v2 as(
- select v1.s_store_name
- ,v1.d_year, v1.d_moy
- ,v1.avg_monthly_sales
- ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
- from v1, v1 v1_lag, v1 v1_lead
- where v1.i_category = v1_lag.i_category and
- v1.i_category = v1_lead.i_category and
- v1.i_brand = v1_lag.i_brand and
- v1.i_brand = v1_lead.i_brand and
- v1.s_store_name = v1_lag.s_store_name and
- v1.s_store_name = v1_lead.s_store_name and
- v1.s_company_name = v1_lag.s_company_name and
- v1.s_company_name = v1_lead.s_company_name and
- v1.rn = v1_lag.rn + 1 and
- v1.rn = v1_lead.rn - 1)
- select *
- from v2
- where d_year = 1999 and
- avg_monthly_sales > 0 and
- case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
- order by sum_sales - avg_monthly_sales, sum_sales
- limit 100;
- -- end query 47 in stream 0 using template query47.tpl
- -- start query 48 in stream 0 using template query48.tpl
- 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 = 'Unknown'
- and
- ss_sales_price between 100.00 and 150.00
- )
- or
- (
- cd_demo_sk = ss_cdemo_sk
- and
- cd_marital_status = 'W'
- and
- cd_education_status = 'College'
- and
- ss_sales_price between 50.00 and 100.00
- )
- or
- (
- cd_demo_sk = ss_cdemo_sk
- and
- cd_marital_status = 'D'
- and
- cd_education_status = 'Primary'
- 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 ('MI', 'GA', 'NH')
- and ss_net_profit between 0 and 2000
- )
- or
- (ss_addr_sk = ca_address_sk
- and
- ca_country = 'United States'
- and
- ca_state in ('TX', 'KY', 'SD')
- and ss_net_profit between 150 and 3000
- )
- or
- (ss_addr_sk = ca_address_sk
- and
- ca_country = 'United States'
- and
- ca_state in ('NY', 'OH', 'FL')
- and ss_net_profit between 50 and 25000
- )
- )
- ;
- -- end query 48 in stream 0 using template query48.tpl
- -- start query 49 in stream 0 using template query49.tpl
- select channel, item, return_ratio, return_rank, currency_rank from
- (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 1,4,5,2
- limit 100;
- -- end query 49 in stream 0 using template query49.tpl
- -- start query 50 in stream 0 using template query50.tpl
- 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 = 1998
- 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;
- -- end query 50 in stream 0 using template query50.tpl
- -- start query 51 in stream 0 using template query51.tpl
- WITH web_v1 as (
- select
- ws_item_sk item_sk, d_date,
- sum(sum(ws_sales_price))
- over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
- from web_sales
- ,date_dim
- where ws_sold_date_sk=d_date_sk
- and d_month_seq between 1214 and 1214+11
- and ws_item_sk is not NULL
- group by ws_item_sk, d_date),
- store_v1 as (
- select
- ss_item_sk item_sk, d_date,
- sum(sum(ss_sales_price))
- over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
- from store_sales
- ,date_dim
- where ss_sold_date_sk=d_date_sk
- and d_month_seq between 1214 and 1214+11
- and ss_item_sk is not NULL
- group by ss_item_sk, d_date)
- select *
- from (select item_sk
- ,d_date
- ,web_sales
- ,store_sales
- ,max(web_sales)
- over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative
- ,max(store_sales)
- over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative
- from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
- ,case when web.d_date is not null then web.d_date else store.d_date end d_date
- ,web.cume_sales web_sales
- ,store.cume_sales store_sales
- from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
- and web.d_date = store.d_date)
- )x )y
- where web_cumulative > store_cumulative
- order by item_sk
- ,d_date
- limit 100;
- -- end query 51 in stream 0 using template query51.tpl
- -- start query 52 in stream 0 using template query52.tpl
- 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=2000
- group by dt.d_year
- ,item.i_brand
- ,item.i_brand_id
- order by dt.d_year
- ,ext_price desc
- ,brand_id
- limit 100 ;
- -- end query 52 in stream 0 using template query52.tpl
- -- start query 53 in stream 0 using template query53.tpl
- 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;
- -- end query 53 in stream 0 using template query53.tpl
- -- start query 54 in stream 0 using template query54.tpl
- 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 = 'Books'
- and i_class = 'business'
- and c_customer_sk = cs_or_ws_sales.customer_sk
- and d_moy = 2
- and d_year = 2000
- )
- , my_revenue as (
- select c_customer_sk,
- sum(ss_ext_sales_price) as revenue
- from my_customers,
- store_sales,
- customer_address,
- store,
- date_dim
- where c_current_addr_sk = ca_address_sk
- and ca_county = s_county
- and ca_state = s_state
- and ss_sold_date_sk = d_date_sk
- and c_customer_sk = ss_customer_sk
- and d_month_seq between (select distinct d_month_seq+1
- from date_dim where d_year = 2000 and d_moy = 2)
- and (select distinct d_month_seq+3
- from date_dim where d_year = 2000 and d_moy = 2)
- 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;
- -- end query 54 in stream 0 using template query54.tpl
- -- start query 55 in stream 0 using template query55.tpl
- 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=13
- and d_moy=11
- and d_year=1999
- group by i_brand, i_brand_id
- order by ext_price desc, i_brand_id
- limit 100 ;
- -- end query 55 in stream 0 using template query55.tpl
- -- start query 56 in stream 0 using template query56.tpl
- 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 ('chiffon','smoke','lace'))
- and ss_item_sk = i_item_sk
- and ss_sold_date_sk = d_date_sk
- and d_year = 2001
- and d_moy = 5
- and ss_addr_sk = ca_address_sk
- and ca_gmt_offset = -6
- group by i_item_id),
- cs as (
- select i_item_id,sum(cs_ext_sales_price) total_sales
- from
- catalog_sales,
- date_dim,
- customer_address,
- item
- where
- i_item_id in (select
- i_item_id
- from item
- where i_color in ('chiffon','smoke','lace'))
- and cs_item_sk = i_item_sk
- and cs_sold_date_sk = d_date_sk
- and d_year = 2001
- and d_moy = 5
- and cs_bill_addr_sk = ca_address_sk
- and ca_gmt_offset = -6
- group by i_item_id),
- ws as (
- select i_item_id,sum(ws_ext_sales_price) total_sales
- from
- web_sales,
- date_dim,
- customer_address,
- item
- where
- i_item_id in (select
- i_item_id
- from item
- where i_color in ('chiffon','smoke','lace'))
- and ws_item_sk = i_item_sk
- and ws_sold_date_sk = d_date_sk
- and d_year = 2001
- and d_moy = 5
- and ws_bill_addr_sk = ca_address_sk
- and ca_gmt_offset = -6
- group by i_item_id)
- select i_item_id ,sum(total_sales) total_sales
- from (select * from ss
- union all
- select * from cs
- union all
- select * from ws) tmp1
- group by i_item_id
- order by total_sales,
- i_item_id
- limit 100;
- -- end query 56 in stream 0 using template query56.tpl
- -- start query 57 in stream 0 using template query57.tpl
- 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 = 1999 or
- ( d_year = 1999-1 and d_moy =12) or
- ( d_year = 1999+1 and d_moy =1)
- )
- group by i_category, i_brand,
- 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 *
- from v2
- where d_year = 1999 and
- avg_monthly_sales > 0 and
- case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
- order by sum_sales - avg_monthly_sales, avg_monthly_sales
- limit 100;
- -- end query 57 in stream 0 using template query57.tpl
- -- start query 58 in stream 0 using template query58.tpl
- 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 = '1998-02-21'))
- 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 = '1998-02-21'))
- 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 = '1998-02-21'))
- 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;
- -- end query 58 in stream 0 using template query58.tpl
- -- start query 59 in stream 0 using template query59.tpl
- with wss as
- (select d_week_seq,
- ss_store_sk,
- sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
- sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
- sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales,
- sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
- sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
- sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
- sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
- from store_sales,date_dim
- where d_date_sk = ss_sold_date_sk
- group by d_week_seq,ss_store_sk
- )
- select s_store_name1,s_store_id1,d_week_seq1
- ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
- ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2
- ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
- from
- (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
- ,s_store_id s_store_id1,sun_sales sun_sales1
- ,mon_sales mon_sales1,tue_sales tue_sales1
- ,wed_sales wed_sales1,thu_sales thu_sales1
- ,fri_sales fri_sales1,sat_sales sat_sales1
- from wss,store,date_dim d
- where d.d_week_seq = wss.d_week_seq and
- ss_store_sk = s_store_sk and
- d_month_seq between 1205 and 1205 + 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 1205+ 12 and 1205 + 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;
- -- end query 59 in stream 0 using template query59.tpl
- -- start query 60 in stream 0 using template query60.tpl
- 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 = 1998
- and d_moy = 10
- and ss_addr_sk = ca_address_sk
- and ca_gmt_offset = -5
- 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 = 1998
- and d_moy = 10
- and cs_bill_addr_sk = ca_address_sk
- and ca_gmt_offset = -5
- 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 = 1998
- and d_moy = 10
- and ws_bill_addr_sk = ca_address_sk
- and ca_gmt_offset = -5
- 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;
- -- end query 60 in stream 0 using template query60.tpl
- -- start query 61 in stream 0 using template query61.tpl
- 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 = -6
- and i_category = 'Sports'
- and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')
- and s_gmt_offset = -6
- and d_year = 2001
- and d_moy = 12) promotional_sales,
- (select sum(ss_ext_sales_price) total
- from store_sales
- ,store
- ,date_dim
- ,customer
- ,customer_address
- ,item
- where ss_sold_date_sk = d_date_sk
- and ss_store_sk = s_store_sk
- and ss_customer_sk= c_customer_sk
- and ca_address_sk = c_current_addr_sk
- and ss_item_sk = i_item_sk
- and ca_gmt_offset = -6
- and i_category = 'Sports'
- and s_gmt_offset = -6
- and d_year = 2001
- and d_moy = 12) all_sales
- order by promotions, total
- limit 100;
- -- end query 61 in stream 0 using template query61.tpl
- -- start query 62 in stream 0 using template query62.tpl
- select
- substr(w_warehouse_name,1,20)
- ,sm_type
- ,web_name
- ,sum(case when (ws_ship_date_sk - ws_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days"
- ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 30) and
- (ws_ship_date_sk - ws_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days"
- ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 60) and
- (ws_ship_date_sk - ws_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days"
- ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 90) and
- (ws_ship_date_sk - ws_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days"
- ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 120) then 1 else 0 end) as ">120 days"
- from
- web_sales
- ,warehouse
- ,ship_mode
- ,web_site
- ,date_dim
- where
- d_month_seq between 1215 and 1215 + 11
- and ws_ship_date_sk = d_date_sk
- and ws_warehouse_sk = w_warehouse_sk
- and ws_ship_mode_sk = sm_ship_mode_sk
- and ws_web_site_sk = web_site_sk
- group by
- substr(w_warehouse_name,1,20)
- ,sm_type
- ,web_name
- order by substr(w_warehouse_name,1,20)
- ,sm_type
- ,web_name
- limit 100;
- -- end query 62 in stream 0 using template query62.tpl
- -- start query 63 in stream 0 using template query63.tpl
- 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 (1211,1211+1,1211+2,1211+3,1211+4,1211+5,1211+6,1211+7,1211+8,1211+9,1211+10,1211+11)
- and (( i_category in ('Books','Children','Electronics')
- and i_class in ('personal','portable','reference','self-help')
- and i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
- 'exportiunivamalg #9','scholaramalgamalg #9'))
- or( i_category in ('Women','Music','Men')
- and i_class in ('accessories','classical','fragrances','pants')
- and i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
- 'importoamalg #1')))
- group by i_manager_id, d_moy) tmp1
- where case when avg_monthly_sales > 0 then abs (sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
- order by i_manager_id
- ,avg_monthly_sales
- ,sum_sales
- limit 100;
- -- end query 63 in stream 0 using template query63.tpl
- -- start query 64 in stream 0 using template query64.tpl
- 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_street_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 ('azure','gainsboro','misty','blush','hot','lemon') and
- i_current_price between 80 and 80 + 10 and
- i_current_price between 80 + 1 and 80 + 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_street_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 as s11
- ,cs1.s2 as s21
- ,cs1.s3 as s31
- ,cs2.s1 as s12
- ,cs2.s2 as s22
- ,cs2.s3 as s32
- ,cs2.syear
- ,cs2.cnt
- from cross_sales cs1,cross_sales cs2
- where cs1.item_sk=cs2.item_sk and
- cs1.syear = 1999 and
- cs2.syear = 1999 + 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
- ,cs1.s1
- ,cs2.s1;
- -- end query 64 in stream 0 using template query64.tpl
- -- start query 65 in stream 0 using template query65.tpl
- 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 1186 and 1186+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 1186 and 1186+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;
- -- end query 65 in stream 0 using template query65.tpl
- -- start query 66 in stream 0 using template query66.tpl
- 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
- ,'MSC' || ',' || 'GERMA' 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_ship_tax * ws_quantity else 0 end) as jan_net
- ,sum(case when d_moy = 2
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as feb_net
- ,sum(case when d_moy = 3
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as mar_net
- ,sum(case when d_moy = 4
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as apr_net
- ,sum(case when d_moy = 5
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as may_net
- ,sum(case when d_moy = 6
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jun_net
- ,sum(case when d_moy = 7
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as jul_net
- ,sum(case when d_moy = 8
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as aug_net
- ,sum(case when d_moy = 9
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as sep_net
- ,sum(case when d_moy = 10
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as oct_net
- ,sum(case when d_moy = 11
- then ws_net_paid_inc_ship_tax * ws_quantity else 0 end) as nov_net
- ,sum(case when d_moy = 12
- then ws_net_paid_inc_ship_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 = 2001
- and t_time between 9453 and 9453+28800
- and sm_carrier in ('MSC','GERMA')
- 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
- ,'MSC' || ',' || 'GERMA' as ship_carriers
- ,d_year as year
- ,sum(case when d_moy = 1
- then cs_ext_list_price* cs_quantity else 0 end) as jan_sales
- ,sum(case when d_moy = 2
- then cs_ext_list_price* cs_quantity else 0 end) as feb_sales
- ,sum(case when d_moy = 3
- then cs_ext_list_price* cs_quantity else 0 end) as mar_sales
- ,sum(case when d_moy = 4
- then cs_ext_list_price* cs_quantity else 0 end) as apr_sales
- ,sum(case when d_moy = 5
- then cs_ext_list_price* cs_quantity else 0 end) as may_sales
- ,sum(case when d_moy = 6
- then cs_ext_list_price* cs_quantity else 0 end) as jun_sales
- ,sum(case when d_moy = 7
- then cs_ext_list_price* cs_quantity else 0 end) as jul_sales
- ,sum(case when d_moy = 8
- then cs_ext_list_price* cs_quantity else 0 end) as aug_sales
- ,sum(case when d_moy = 9
- then cs_ext_list_price* cs_quantity else 0 end) as sep_sales
- ,sum(case when d_moy = 10
- then cs_ext_list_price* cs_quantity else 0 end) as oct_sales
- ,sum(case when d_moy = 11
- then cs_ext_list_price* cs_quantity else 0 end) as nov_sales
- ,sum(case when d_moy = 12
- then cs_ext_list_price* cs_quantity else 0 end) as dec_sales
- ,sum(case when d_moy = 1
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as jan_net
- ,sum(case when d_moy = 2
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as feb_net
- ,sum(case when d_moy = 3
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as mar_net
- ,sum(case when d_moy = 4
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as apr_net
- ,sum(case when d_moy = 5
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as may_net
- ,sum(case when d_moy = 6
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as jun_net
- ,sum(case when d_moy = 7
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as jul_net
- ,sum(case when d_moy = 8
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as aug_net
- ,sum(case when d_moy = 9
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as sep_net
- ,sum(case when d_moy = 10
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as oct_net
- ,sum(case when d_moy = 11
- then cs_net_paid_inc_ship * cs_quantity else 0 end) as nov_net
- ,sum(case when d_moy = 12
- then cs_net_paid_inc_ship * 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 = 2001
- and t_time between 9453 AND 9453+28800
- and sm_carrier in ('MSC','GERMA')
- 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;
- -- end query 66 in stream 0 using template query66.tpl
- -- start query 67 in stream 0 using template query67.tpl
- 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 1185 and 1185+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;
- -- end query 67 in stream 0 using template query67.tpl
- -- start query 68 in stream 0 using template query68.tpl
- 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= 0)
- and date_dim.d_year in (1999,1999+1,1999+2)
- and store.s_city in ('Pleasant Hill','Bethel')
- 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;
- -- end query 68 in stream 0 using template query68.tpl
- -- start query 69 in stream 0 using template query69.tpl
- 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 ('MO','MN','AZ') 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 = 2003 and
- d_moy between 2 and 2+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 = 2003 and
- d_moy between 2 and 2+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 = 2003 and
- d_moy between 2 and 2+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;
- -- end query 69 in stream 0 using template query69.tpl
- -- start query 70 in stream 0 using template query70.tpl
- 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 1218 and 1218+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 1218 and 1218+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;
- -- end query 70 in stream 0 using template query70.tpl
- -- start query 71 in stream 0 using template query71.tpl
- 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=2000
- 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=2000
- 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=2000
- ) 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
- ;
- -- end query 71 in stream 0 using template query71.tpl
- -- start query 72 in stream 0 using template query72.tpl
- select i_item_desc
- ,w_warehouse_name
- ,d1.d_week_seq
- ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
- ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
- ,count(*) total_cnt
- from catalog_sales
- join inventory on (cs_item_sk = inv_item_sk)
- join warehouse on (w_warehouse_sk=inv_warehouse_sk)
- join item on (i_item_sk = cs_item_sk)
- join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
- join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
- join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
- join date_dim d2 on (inv_date_sk = d2.d_date_sk)
- join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
- left outer join promotion on (cs_promo_sk=p_promo_sk)
- left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
- where d1.d_week_seq = d2.d_week_seq
- and inv_quantity_on_hand < cs_quantity
- and d3.d_date > d1.d_date + 5
- and hd_buy_potential = '1001-5000'
- and d1.d_year = 2000
- and cd_marital_status = 'D'
- 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;
- -- end query 72 in stream 0 using template query72.tpl
- -- start query 73 in stream 0 using template query73.tpl
- 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 = '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 (2000,2000+1,2000+2)
- and store.s_county in ('Lea County','Furnas County','Pennington County','Bronx County')
- group by ss_ticket_number,ss_customer_sk) dj,customer
- where ss_customer_sk = c_customer_sk
- and cnt between 1 and 5
- order by cnt desc, c_last_name asc;
- -- end query 73 in stream 0 using template query73.tpl
- -- start query 74 in stream 0 using template query74.tpl
- 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
- ,sum(ss_net_paid) year_total
- ,'s' sale_type
- from customer
- ,store_sales
- ,date_dim
- where c_customer_sk = ss_customer_sk
- and ss_sold_date_sk = d_date_sk
- and d_year in (1998,1998+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
- ,sum(ws_net_paid) year_total
- ,'w' sale_type
- from customer
- ,web_sales
- ,date_dim
- where c_customer_sk = ws_bill_customer_sk
- and ws_sold_date_sk = d_date_sk
- and d_year in (1998,1998+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 = 1998
- and t_s_secyear.year = 1998+1
- and t_w_firstyear.year = 1998
- and t_w_secyear.year = 1998+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 3,1,2
- limit 100;
- -- end query 74 in stream 0 using template query74.tpl
- -- start query 75 in stream 0 using template query75.tpl
- 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=2001
- AND prev_yr.d_year=2001-1
- 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,sales_amt_diff
- limit 100;
- -- end query 75 in stream 0 using template query75.tpl
- -- start query 76 in stream 0 using template query76.tpl
- 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_customer_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price
- FROM store_sales, item, date_dim
- WHERE ss_customer_sk IS NULL
- AND ss_sold_date_sk=d_date_sk
- AND ss_item_sk=i_item_sk
- UNION ALL
- SELECT 'web' as channel, 'ws_ship_addr_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price
- FROM web_sales, item, date_dim
- WHERE ws_ship_addr_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_ship_mode_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price
- FROM catalog_sales, item, date_dim
- WHERE cs_ship_mode_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;
- -- end query 76 in stream 0 using template query76.tpl
- -- start query 77 in stream 0 using template query77.tpl
- 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('2000-08-16' as date)
- and (cast('2000-08-16' as date) + 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('2000-08-16' as date)
- and (cast('2000-08-16' as date) + 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('2000-08-16' as date)
- and (cast('2000-08-16' as date) + 30 days)
- group by cs_call_center_sk
- ),
- cr as
- (select cr_call_center_sk,
- 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('2000-08-16' as date)
- and (cast('2000-08-16' as date) + 30 days)
- group by cr_call_center_sk
- ),
- ws as
- ( select wp_web_page_sk,
- sum(ws_ext_sales_price) as sales,
- sum(ws_net_profit) as profit
- from web_sales,
- date_dim,
- web_page
- where ws_sold_date_sk = d_date_sk
- and d_date between cast('2000-08-16' as date)
- and (cast('2000-08-16' as date) + 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('2000-08-16' as date)
- and (cast('2000-08-16' as date) + 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;
- -- end query 77 in stream 0 using template query77.tpl
- -- start query 78 in stream 0 using template query78.tpl
- 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_customer_sk,
- round(ss_qty/(coalesce(ws_qty,0)+coalesce(cs_qty,0)),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=ss_item_sk and cs_customer_sk=ss_customer_sk)
- where (coalesce(ws_qty,0)>0 or coalesce(cs_qty, 0)>0) and ss_sold_year=2001
- order by
- ss_customer_sk,
- ss_qty desc, ss_wc desc, ss_sp desc,
- other_chan_qty,
- other_chan_wholesale_cost,
- other_chan_sales_price,
- ratio
- limit 100;
- -- end query 78 in stream 0 using template query78.tpl
- -- start query 79 in stream 0 using template query79.tpl
- select
- c_last_name,c_first_name,substr(s_city,1,30),ss_ticket_number,amt,profit
- from
- (select ss_ticket_number
- ,ss_customer_sk
- ,store.s_city
- ,sum(ss_coupon_amt) amt
- ,sum(ss_net_profit) profit
- from store_sales,date_dim,store,household_demographics
- where store_sales.ss_sold_date_sk = date_dim.d_date_sk
- and store_sales.ss_store_sk = store.s_store_sk
- and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
- and (household_demographics.hd_dep_count = 0 or household_demographics.hd_vehicle_count > 3)
- 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,substr(s_city,1,30), profit
- limit 100;
- -- end query 79 in stream 0 using template query79.tpl
- -- start query 80 in stream 0 using template query80.tpl
- 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('2002-08-06' as date)
- and (cast('2002-08-06' as date) + 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('2002-08-06' as date)
- and (cast('2002-08-06' as date) + 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('2002-08-06' as date)
- and (cast('2002-08-06' as date) + 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;
- -- end query 80 in stream 0 using template query80.tpl
- -- start query 81 in stream 0 using template query81.tpl
- 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 = 'TX'
- and ctr1.ctr_customer_sk = c_customer_sk
- order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
- ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
- ,ca_location_type,ctr_total_return
- limit 100;
- -- end query 81 in stream 0 using template query81.tpl
- -- start query 82 in stream 0 using template query82.tpl
- select i_item_id
- ,i_item_desc
- ,i_current_price
- from item, inventory, date_dim, store_sales
- where i_current_price between 49 and 49+30
- and inv_item_sk = i_item_sk
- and d_date_sk=inv_date_sk
- and d_date between cast('2001-01-28' as date) and (cast('2001-01-28' as date) + 60 days)
- and i_manufact_id in (80,675,292,17)
- 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;
- -- end query 82 in stream 0 using template query82.tpl
- -- start query 83 in stream 0 using template query83.tpl
- 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 ('2000-06-17','2000-08-22','2000-11-17')))
- 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 ('2000-06-17','2000-08-22','2000-11-17')))
- 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 ('2000-06-17','2000-08-22','2000-11-17')))
- 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;
- -- end query 83 in stream 0 using template query83.tpl
- -- start query 84 in stream 0 using template query84.tpl
- select c_customer_id as customer_id
- , coalesce(c_last_name,'') || ', ' || coalesce(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 >= 37855
- and ib_upper_bound <= 37855 + 50000
- and ib_income_band_sk = hd_income_band_sk
- and cd_demo_sk = c_current_cdemo_sk
- and hd_demo_sk = c_current_hdemo_sk
- and sr_cdemo_sk = cd_demo_sk
- order by c_customer_id
- limit 100;
- -- end query 84 in stream 0 using template query84.tpl
- -- start query 85 in stream 0 using template query85.tpl
- select substr(r_reason_desc,1,20)
- ,avg(ws_quantity)
- ,avg(wr_refunded_cash)
- ,avg(wr_fee)
- from web_sales, web_returns, web_page, customer_demographics cd1,
- customer_demographics cd2, customer_address, date_dim, reason
- where ws_web_page_sk = wp_web_page_sk
- and ws_item_sk = wr_item_sk
- and ws_order_number = wr_order_number
- and ws_sold_date_sk = d_date_sk and d_year = 2001
- and cd1.cd_demo_sk = wr_refunded_cdemo_sk
- and cd2.cd_demo_sk = wr_returning_cdemo_sk
- and ca_address_sk = wr_refunded_addr_sk
- and r_reason_sk = wr_reason_sk
- and
- (
- (
- cd1.cd_marital_status = '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 = 'S'
- and
- cd1.cd_marital_status = cd2.cd_marital_status
- and
- cd1.cd_education_status = 'College'
- and
- cd1.cd_education_status = cd2.cd_education_status
- and
- ws_sales_price between 50.00 and 100.00
- )
- or
- (
- cd1.cd_marital_status = 'D'
- and
- cd1.cd_marital_status = cd2.cd_marital_status
- and
- cd1.cd_education_status = 'Secondary'
- and
- cd1.cd_education_status = cd2.cd_education_status
- and
- ws_sales_price between 150.00 and 200.00
- )
- )
- and
- (
- (
- ca_country = 'United States'
- and
- ca_state in ('TX', 'VA', 'CA')
- and ws_net_profit between 100 and 200
- )
- or
- (
- ca_country = 'United States'
- and
- ca_state in ('AR', 'NE', 'MO')
- and ws_net_profit between 150 and 300
- )
- or
- (
- ca_country = 'United States'
- and
- ca_state in ('IA', 'MS', 'WA')
- and ws_net_profit between 50 and 250
- )
- )
- group by r_reason_desc
- order by substr(r_reason_desc,1,20)
- ,avg(ws_quantity)
- ,avg(wr_refunded_cash)
- ,avg(wr_fee)
- limit 100;
- -- end query 85 in stream 0 using template query85.tpl
- -- start query 86 in stream 0 using template query86.tpl
- 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 1215 and 1215+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;
- -- end query 86 in stream 0 using template query86.tpl
- -- start query 87 in stream 0 using template query87.tpl
- 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 1221 and 1221+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 1221 and 1221+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 1221 and 1221+11)
- ) cool_cust
- ;
- -- end query 87 in stream 0 using template query87.tpl
- -- start query 88 in stream 0 using template query88.tpl
- 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 = 2 and household_demographics.hd_vehicle_count<=2+2) or
- (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
- (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
- and store.s_store_name = 'ese') s1,
- (select count(*) h9_to_9_30
- from store_sales, household_demographics , time_dim, store
- where ss_sold_time_sk = time_dim.t_time_sk
- and ss_hdemo_sk = household_demographics.hd_demo_sk
- and ss_store_sk = s_store_sk
- and time_dim.t_hour = 9
- and time_dim.t_minute < 30
- and ((household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
- (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
- (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
- and store.s_store_name = 'ese') s2,
- (select count(*) h9_30_to_10
- from store_sales, household_demographics , time_dim, store
- where ss_sold_time_sk = time_dim.t_time_sk
- and ss_hdemo_sk = household_demographics.hd_demo_sk
- and ss_store_sk = s_store_sk
- and time_dim.t_hour = 9
- and time_dim.t_minute >= 30
- and ((household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
- (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
- (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
- and store.s_store_name = 'ese') s3,
- (select count(*) h10_to_10_30
- from store_sales, household_demographics , time_dim, store
- where ss_sold_time_sk = time_dim.t_time_sk
- and ss_hdemo_sk = household_demographics.hd_demo_sk
- and ss_store_sk = s_store_sk
- and time_dim.t_hour = 10
- and time_dim.t_minute < 30
- and ((household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
- (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
- (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
- and store.s_store_name = 'ese') s4,
- (select count(*) h10_30_to_11
- from store_sales, household_demographics , time_dim, store
- where ss_sold_time_sk = time_dim.t_time_sk
- and ss_hdemo_sk = household_demographics.hd_demo_sk
- and ss_store_sk = s_store_sk
- and time_dim.t_hour = 10
- and time_dim.t_minute >= 30
- and ((household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
- (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
- (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
- and store.s_store_name = 'ese') s5,
- (select count(*) h11_to_11_30
- from store_sales, household_demographics , time_dim, store
- where ss_sold_time_sk = time_dim.t_time_sk
- and ss_hdemo_sk = household_demographics.hd_demo_sk
- and ss_store_sk = s_store_sk
- and time_dim.t_hour = 11
- and time_dim.t_minute < 30
- and ((household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
- (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
- (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
- and store.s_store_name = 'ese') s6,
- (select count(*) h11_30_to_12
- from store_sales, household_demographics , time_dim, store
- where ss_sold_time_sk = time_dim.t_time_sk
- and ss_hdemo_sk = household_demographics.hd_demo_sk
- and ss_store_sk = s_store_sk
- and time_dim.t_hour = 11
- and time_dim.t_minute >= 30
- and ((household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
- (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
- (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
- and store.s_store_name = 'ese') s7,
- (select count(*) h12_to_12_30
- from store_sales, household_demographics , time_dim, store
- where ss_sold_time_sk = time_dim.t_time_sk
- and ss_hdemo_sk = household_demographics.hd_demo_sk
- and ss_store_sk = s_store_sk
- and time_dim.t_hour = 12
- and time_dim.t_minute < 30
- and ((household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
- (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
- (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2))
- and store.s_store_name = 'ese') s8
- ;
- -- end query 88 in stream 0 using template query88.tpl
- -- start query 89 in stream 0 using template query89.tpl
- 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','Music','Books') and
- i_class in ('glassware','classical','fiction')
- )
- or (i_category in ('Jewelry','Sports','Women') and
- i_class in ('semi-precious','baseball','dresses')
- ))
- 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;
- -- end query 89 in stream 0 using template query89.tpl
- -- start query 90 in stream 0 using template query90.tpl
- 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 9 and 9+1
- and household_demographics.hd_dep_count = 3
- 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 16 and 16+1
- and household_demographics.hd_dep_count = 3
- and web_page.wp_char_count between 5000 and 5200) pt
- order by am_pm_ratio
- limit 100;
- -- end query 90 in stream 0 using template query90.tpl
- -- start query 91 in stream 0 using template query91.tpl
- 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 = 2000
- and d_moy = 12
- and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown')
- or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree'))
- and hd_buy_potential like 'Unknown%'
- and ca_gmt_offset = -7
- group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status
- order by sum(cr_net_loss) desc;
- -- end query 91 in stream 0 using template query91.tpl
- -- start query 92 in stream 0 using template query92.tpl
- select
- sum(ws_ext_discount_amt) as "Excess Discount Amount"
- from
- web_sales
- ,item
- ,date_dim
- where
- i_manufact_id = 356
- and i_item_sk = ws_item_sk
- and d_date between '2001-03-12' and
- (cast('2001-03-12' as date) + 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 '2001-03-12' and
- (cast('2001-03-12' as date) + 90 days)
- and d_date_sk = ws_sold_date_sk
- )
- order by sum(ws_ext_discount_amt)
- limit 100;
- -- end query 92 in stream 0 using template query92.tpl
- -- start query 93 in stream 0 using template query93.tpl
- select ss_customer_sk
- ,sum(act_sales) sumsales
- from (select ss_item_sk
- ,ss_ticket_number
- ,ss_customer_sk
- ,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price
- else (ss_quantity*ss_sales_price) end act_sales
- from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk
- and sr_ticket_number = ss_ticket_number)
- ,reason
- where sr_reason_sk = r_reason_sk
- and r_reason_desc = 'reason 66') t
- group by ss_customer_sk
- order by sumsales, ss_customer_sk
- limit 100;
- -- end query 93 in stream 0 using template query93.tpl
- -- start query 94 in stream 0 using template query94.tpl
- 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 '1999-4-01' and
- (cast('1999-4-01' as date) + 60 days)
- and ws1.ws_ship_date_sk = d_date_sk
- and ws1.ws_ship_addr_sk = ca_address_sk
- and ca_state = 'NE'
- 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;
- -- end query 94 in stream 0 using template query94.tpl
- -- start query 95 in stream 0 using template query95.tpl
- 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 '2002-4-01' and
- (cast('2002-4-01' as date) + 60 days)
- and ws1.ws_ship_date_sk = d_date_sk
- and ws1.ws_ship_addr_sk = ca_address_sk
- and ca_state = 'AL'
- 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;
- -- end query 95 in stream 0 using template query95.tpl
- -- start query 96 in stream 0 using template query96.tpl
- select count(*)
- from store_sales
- ,household_demographics
- ,time_dim, store
- where ss_sold_time_sk = time_dim.t_time_sk
- and ss_hdemo_sk = household_demographics.hd_demo_sk
- and ss_store_sk = s_store_sk
- and time_dim.t_hour = 16
- and time_dim.t_minute >= 30
- and household_demographics.hd_dep_count = 6
- and store.s_store_name = 'ese'
- order by count(*)
- limit 100;
- -- end query 96 in stream 0 using template query96.tpl
- -- start query 97 in stream 0 using template query97.tpl
- 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 1190 and 1190 + 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 1190 and 1190 + 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;
- -- end query 97 in stream 0 using template query97.tpl
- -- start query 98 in stream 0 using template query98.tpl
- select i_item_id
- ,i_item_desc
- ,i_category
- ,i_class
- ,i_current_price
- ,sum(ss_ext_sales_price) as itemrevenue
- ,sum(ss_ext_sales_price)*100/sum(sum(ss_ext_sales_price)) over
- (partition by i_class) as revenueratio
- from
- store_sales
- ,item
- ,date_dim
- where
- ss_item_sk = i_item_sk
- and i_category in ('Home', 'Sports', 'Men')
- and ss_sold_date_sk = d_date_sk
- and d_date between cast('2002-01-05' as date)
- and (cast('2002-01-05' as date) + 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;
- -- end query 98 in stream 0 using template query98.tpl
- -- start query 99 in stream 0 using template query99.tpl
- select
- substr(w_warehouse_name,1,20)
- ,sm_type
- ,cc_name
- ,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days"
- ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and
- (cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days"
- ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and
- (cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days"
- ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and
- (cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days"
- ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 120) then 1 else 0 end) as ">120 days"
- from
- catalog_sales
- ,warehouse
- ,ship_mode
- ,call_center
- ,date_dim
- where
- d_month_seq between 1178 and 1178 + 11
- and cs_ship_date_sk = d_date_sk
- and cs_warehouse_sk = w_warehouse_sk
- and cs_ship_mode_sk = sm_ship_mode_sk
- and cs_call_center_sk = cc_call_center_sk
- group by
- substr(w_warehouse_name,1,20)
- ,sm_type
- ,cc_name
- order by substr(w_warehouse_name,1,20)
- ,sm_type
- ,cc_name
- limit 100;
- -- end query 99 in stream 0 using template query99.tpl
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