-- 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 top 100 c_customer_id
from customer_total_return ctr1
,store
,customer
where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
from customer_total_return ctr2
where ctr1.ctr_store_sk = ctr2.ctr_store_sk)
and s_store_sk = ctr1.ctr_store_sk
and s_state = 'TN'
and ctr1.ctr_customer_sk = c_customer_sk
order by c_customer_id
;
-- 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;
-- start query 3 in stream 0 using template query3.tpl
select top 100 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
;
-- 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 top 100
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
;
-- 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 (date_add(cast('2000-08-19' as date),interval 14 day))
and store_sk = s_store_sk
group by s_store_id)
,
csr as
(select cp_catalog_page_id,
sum(sales_price) as sales,
sum(profit) as profit,
sum(return_amt) as 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 (date_add(cast('2000-08-19' as date),interval 14 day))
and page_sk = cp_catalog_page_sk
group by cp_catalog_page_id)
,
wsr as
(select web_site_id,
sum(sales_price) as sales,
sum(profit) as profit,
sum(return_amt) as 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 (date_add(cast('2000-08-19' as date),interval 14 day))
and wsr_web_site_sk = web_site_sk
group by web_site_id)
select top 100 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
;
-- start query 6 in stream 0 using template query6.tpl
select top 100 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
;
-- start query 7 in stream 0 using template query7.tpl
select top 100 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
;
-- start query 8 in stream 0 using template query8.tpl
select top 100 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
;
-- 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) > 1071
then (select avg(ss_ext_tax)
from store_sales
where ss_quantity between 1 and 20)
else (select avg(ss_net_paid_inc_tax)
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) > 39161
then (select avg(ss_ext_tax)
from store_sales
where ss_quantity between 21 and 40)
else (select avg(ss_net_paid_inc_tax)
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) > 29434
then (select avg(ss_ext_tax)
from store_sales
where ss_quantity between 41 and 60)
else (select avg(ss_net_paid_inc_tax)
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) > 6568
then (select avg(ss_ext_tax)
from store_sales
where ss_quantity between 61 and 80)
else (select avg(ss_net_paid_inc_tax)
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) > 21216
then (select avg(ss_ext_tax)
from store_sales
where ss_quantity between 81 and 100)
else (select avg(ss_net_paid_inc_tax)
from store_sales
where ss_quantity between 81 and 100) end bucket5
from reason
where r_reason_sk = 1
;
-- start query 10 in stream 0 using template query10.tpl
select top 100
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 ('Fairfield County','Campbell County','Washtenaw County','Escambia County','Cleburne 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 = 2001 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 = 2001 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 = 2001 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
;
-- 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 top 100
t_s_secyear.customer_id
,t_s_secyear.customer_first_name
,t_s_secyear.customer_last_name
,t_s_secyear.customer_email_address
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 = 1998
and t_s_secyear.dyear = 1998+1
and t_w_firstyear.dyear = 1998
and t_w_secyear.dyear = 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 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_email_address
;
-- start query 12 in stream 0 using template query12.tpl
select top 100 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 ('Men', 'Books', 'Electronics')
and ws_sold_date_sk = d_date_sk
and d_date between cast('2001-06-15' as date)
and (date_add(cast('2001-06-15' as date),interval 30 day))
group by
i_item_id
,i_item_desc
,i_category
,i_class
,i_current_price
order by
i_category
,i_class
,i_item_id
,i_item_desc
,revenueratio
;
-- 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 = 'M'
and cd_education_status = 'College'
and ss_sales_price between 100.00 and 150.00
and hd_dep_count = 3
)or
(ss_hdemo_sk=hd_demo_sk
and cd_demo_sk = ss_cdemo_sk
and cd_marital_status = 'D'
and cd_education_status = 'Primary'
and ss_sales_price between 50.00 and 100.00
and hd_dep_count = 1
) or
(ss_hdemo_sk=hd_demo_sk
and cd_demo_sk = ss_cdemo_sk
and cd_marital_status = 'W'
and cd_education_status = '2 yr Degree'
and ss_sales_price between 150.00 and 200.00
and hd_dep_count = 1
))
and((ss_addr_sk = ca_address_sk
and ca_country = 'United States'
and ca_state in ('IL', 'TN', 'TX')
and ss_net_profit between 100 and 200
) or
(ss_addr_sk = ca_address_sk
and ca_country = 'United States'
and ca_state in ('WY', 'OH', 'ID')
and ss_net_profit between 150 and 300
) or
(ss_addr_sk = ca_address_sk
and ca_country = 'United States'
and ca_state in ('MS', 'SC', 'IA')
and ss_net_profit between 50 and 250
))
;
-- 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 1999 AND 1999 + 2
intersect
select ics.i_brand_id
,ics.i_class_id
,ics.i_category_id
from catalog_sales
,item ics
,date_dim d2
where cs_item_sk = ics.i_item_sk
and cs_sold_date_sk = d2.d_date_sk
and d2.d_year between 1999 AND 1999 + 2
intersect
select iws.i_brand_id
,iws.i_class_id
,iws.i_category_id
from web_sales
,item iws
,date_dim d3
where ws_item_sk = iws.i_item_sk
and ws_sold_date_sk = d3.d_date_sk
and d3.d_year between 1999 AND 1999 + 2)
where i_brand_id = brand_id
and i_class_id = class_id
and i_category_id = category_id
),
avg_sales as
(select avg(quantity*list_price) average_sales
from (select ss_quantity quantity
,ss_list_price list_price
from store_sales
,date_dim
where ss_sold_date_sk = d_date_sk
and d_year between 1999 and 1999 + 2
union all
select cs_quantity quantity
,cs_list_price list_price
from catalog_sales
,date_dim
where cs_sold_date_sk = d_date_sk
and d_year between 1999 and 1999 + 2
union all
select ws_quantity quantity
,ws_list_price list_price
from web_sales
,date_dim
where ws_sold_date_sk = d_date_sk
and d_year between 1999 and 1999 + 2) x)
select top 100 channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales)
from(
select 'store' channel, i_brand_id,i_class_id
,i_category_id,sum(ss_quantity*ss_list_price) sales
, count(*) number_sales
from store_sales
,item
,date_dim
where ss_item_sk in (select ss_item_sk from cross_items)
and ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and d_year = 1999+2
and d_moy = 11
group by i_brand_id,i_class_id,i_category_id
having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)
union all
select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity*cs_list_price) sales, count(*) number_sales
from catalog_sales
,item
,date_dim
where cs_item_sk in (select ss_item_sk from cross_items)
and cs_item_sk = i_item_sk
and cs_sold_date_sk = d_date_sk
and d_year = 1999+2
and d_moy = 11
group by i_brand_id,i_class_id,i_category_id
having sum(cs_quantity*cs_list_price) > (select average_sales from avg_sales)
union all
select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity*ws_list_price) sales , count(*) number_sales
from web_sales
,item
,date_dim
where ws_item_sk in (select ss_item_sk from cross_items)
and ws_item_sk = i_item_sk
and ws_sold_date_sk = d_date_sk
and d_year = 1999+2
and d_moy = 11
group by i_brand_id,i_class_id,i_category_id
having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales)
) y
group by rollup (channel, i_brand_id,i_class_id,i_category_id)
order by channel,i_brand_id,i_class_id,i_category_id
;
-- start query 15 in stream 0 using template query15.tpl
select top 100 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 = 2001
group by ca_zip
order by ca_zip
;
```
