github/spark-sql-perf
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge pull request #101 from vlyubin/master

Browse Source 
Add tpcds 2.4 queries
This commit is contained in:
Volodymyr Lyubinets 2017-05-16 10:35:35 +02:00 committed by GitHub
commit beec62844d
106 changed files with 3957 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

19
src/main/resources/tpcds_2_4/q1.sql Normal file
View File

@ -0,0 +1,19 @@
--q1.sql--
WITH customer_total_return AS
(SELECT sr_customer_sk AS ctr_customer_sk, sr_store_sk AS ctr_store_sk,
sum(sr_return_amt) AS ctr_total_return
FROM store_returns, date_dim
WHERE sr_returned_date_sk = d_date_sk AND d_year = 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 = 'TN'
AND ctr1.ctr_customer_sk = c_customer_sk
ORDER BY c_customer_id LIMIT 100

47
src/main/resources/tpcds_2_4/q10.sql Normal file
View File

@ -0,0 +1,47 @@
--q10.sql--
select
cd_gender, cd_marital_status, cd_education_status, count(*) cnt1,
cd_purchase_estimate, count(*) cnt2, cd_credit_rating, count(*) cnt3,
cd_dep_count, count(*) cnt4, cd_dep_employed_count, count(*) cnt5,
cd_dep_college_count, count(*) cnt6
from
customer c, customer_address ca, customer_demographics
where
c.c_current_addr_sk = ca.ca_address_sk and
ca_county in ('Rush County','Toole County','Jefferson County',
'Dona Ana County','La Porte County') and
cd_demo_sk = c.c_current_cdemo_sk AND
exists (select * from store_sales, date_dim
where c.c_customer_sk = ss_customer_sk AND
ss_sold_date_sk = d_date_sk AND
d_year = 2002 AND
d_moy between 1 AND 1+3) AND
(exists (select * from web_sales, date_dim
where c.c_customer_sk = ws_bill_customer_sk AND
ws_sold_date_sk = d_date_sk AND
d_year = 2002 AND
d_moy between 1 AND 1+3) or
exists (select * from catalog_sales, date_dim
where c.c_customer_sk = cs_ship_customer_sk AND
cs_sold_date_sk = d_date_sk AND
d_year = 2002 AND
d_moy between 1 AND 1+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

73
src/main/resources/tpcds_2_4/q11.sql Normal file
View File

@ -0,0 +1,73 @@
--q11.sql--
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
,c_last_name customer_last_name
,c_preferred_cust_flag customer_preferred_cust_flag
,c_birth_country customer_birth_country
,c_login customer_login
,c_email_address customer_email_address
,d_year dyear
,sum(ss_ext_list_price-ss_ext_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_preferred_cust_flag
from year_total t_s_firstyear
,year_total t_s_secyear
,year_total t_w_firstyear
,year_total t_w_secyear
where t_s_secyear.customer_id = t_s_firstyear.customer_id
and t_s_firstyear.customer_id = t_w_secyear.customer_id
and t_s_firstyear.customer_id = t_w_firstyear.customer_id
and t_s_firstyear.sale_type = 's'
and t_w_firstyear.sale_type = 'w'
and t_s_secyear.sale_type = 's'
and t_w_secyear.sale_type = 'w'
and t_s_firstyear.dyear = 2001
and t_s_secyear.dyear = 2001+1
and t_w_firstyear.dyear = 2001
and t_w_secyear.dyear = 2001+1
and t_s_firstyear.year_total > 0
and t_w_firstyear.year_total > 0
and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else 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_preferred_cust_flag
LIMIT 100

21
src/main/resources/tpcds_2_4/q12.sql Normal file
View File

@ -0,0 +1,21 @@
--q12.sql--
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 ('Sports', 'Books', 'Home')
and ws_sold_date_sk = d_date_sk
and d_date between cast('1999-02-22' as date)
and (cast('1999-02-22' as date) + interval '30' day)
group by
i_item_id, i_item_desc, i_category, i_class, i_current_price
order by
i_category, i_class, i_item_id, i_item_desc, revenueratio
LIMIT 100

51
src/main/resources/tpcds_2_4/q13.sql Normal file
View File

@ -0,0 +1,51 @@
--q13.sql--
select avg(ss_quantity)
,avg(ss_ext_sales_price)
,avg(ss_ext_wholesale_cost)
,sum(ss_ext_wholesale_cost)
from store_sales
,store
,customer_demographics
,household_demographics
,customer_address
,date_dim
where s_store_sk = ss_store_sk
and ss_sold_date_sk = d_date_sk and d_year = 2001
and((ss_hdemo_sk=hd_demo_sk
and cd_demo_sk = ss_cdemo_sk
and cd_marital_status = 'M'
and cd_education_status = 'Advanced Degree'
and ss_sales_price between 100.00 and 150.00
and hd_dep_count = 3
)or
(ss_hdemo_sk=hd_demo_sk
and cd_demo_sk = ss_cdemo_sk
and cd_marital_status = 'S'
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 = '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 ('TX', 'OH', '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 ('OR', 'NM', 'KY')
and ss_net_profit between 150 and 300
) or
(ss_addr_sk = ca_address_sk
and ca_country = 'United States'
and ca_state in ('VA', 'TX', 'MS')
and ss_net_profit between 50 and 250
))

81
src/main/resources/tpcds_2_4/q14a.sql Normal file
View File

@ -0,0 +1,81 @@
--q14a.sql--
with cross_items as
(select i_item_sk ss_item_sk
from item,
(select iss.i_brand_id brand_id, iss.i_class_id class_id, iss.i_category_id category_id
from store_sales, item iss, date_dim d1
where ss_item_sk = iss.i_item_sk
and ss_sold_date_sk = d1.d_date_sk
and d1.d_year between 1999 AND 1999 + 2
intersect
select ics.i_brand_id, ics.i_class_id, ics.i_category_id
from catalog_sales, item ics, date_dim d2
where cs_item_sk = ics.i_item_sk
and cs_sold_date_sk = d2.d_date_sk
and d2.d_year between 1999 AND 1999 + 2
intersect
select iws.i_brand_id, iws.i_class_id, iws.i_category_id
from web_sales, item iws, date_dim d3
where ws_item_sk = iws.i_item_sk
and ws_sold_date_sk = d3.d_date_sk
and d3.d_year between 1999 AND 1999 + 2) x
where i_brand_id = brand_id
and i_class_id = class_id
and i_category_id = category_id
),
avg_sales as
(select avg(quantity*list_price) average_sales
from (
select ss_quantity quantity, ss_list_price list_price
from store_sales, date_dim
where ss_sold_date_sk = d_date_sk
and d_year between 1999 and 2001
union all
select cs_quantity quantity, cs_list_price list_price
from catalog_sales, date_dim
where cs_sold_date_sk = d_date_sk
and d_year between 1999 and 1999 + 2
union all
select ws_quantity quantity, ws_list_price list_price
from web_sales, date_dim
where ws_sold_date_sk = d_date_sk
and d_year between 1999 and 1999 + 2) x)
select channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales)
from(
select 'store' channel, i_brand_id,i_class_id
,i_category_id,sum(ss_quantity*ss_list_price) sales
, count(*) number_sales
from store_sales, item, date_dim
where ss_item_sk in (select ss_item_sk from cross_items)
and ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and d_year = 1999+2
and d_moy = 11
group by i_brand_id,i_class_id,i_category_id
having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)
union all
select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity*cs_list_price) sales, count(*) number_sales
from catalog_sales, item, date_dim
where cs_item_sk in (select ss_item_sk from cross_items)
and cs_item_sk = i_item_sk
and cs_sold_date_sk = d_date_sk
and d_year = 1999+2
and d_moy = 11
group by i_brand_id,i_class_id,i_category_id
having sum(cs_quantity*cs_list_price) > (select average_sales from avg_sales)
union all
select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity*ws_list_price) sales , count(*) number_sales
from web_sales, item, date_dim
where ws_item_sk in (select ss_item_sk from cross_items)
and ws_item_sk = i_item_sk
and ws_sold_date_sk = d_date_sk
and d_year = 1999+2
and d_moy = 11
group by i_brand_id,i_class_id,i_category_id
having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales)
) y
group by rollup (channel, i_brand_id,i_class_id,i_category_id)
order by channel,i_brand_id,i_class_id,i_category_id
limit 100

66
src/main/resources/tpcds_2_4/q14b.sql Normal file
View File

@ -0,0 +1,66 @@
--q14b.sql--
with cross_items as
(select i_item_sk ss_item_sk
from item,
(select iss.i_brand_id brand_id, iss.i_class_id class_id, iss.i_category_id category_id
from store_sales, item iss, date_dim d1
where ss_item_sk = iss.i_item_sk
and ss_sold_date_sk = d1.d_date_sk
and d1.d_year between 1999 AND 1999 + 2
intersect
select ics.i_brand_id, ics.i_class_id, ics.i_category_id
from catalog_sales, item ics, date_dim d2
where cs_item_sk = ics.i_item_sk
and cs_sold_date_sk = d2.d_date_sk
and d2.d_year between 1999 AND 1999 + 2
intersect
select iws.i_brand_id, iws.i_class_id, iws.i_category_id
from web_sales, item iws, date_dim d3
where ws_item_sk = iws.i_item_sk
and ws_sold_date_sk = d3.d_date_sk
and d3.d_year between 1999 AND 1999 + 2) x
where i_brand_id = brand_id
and i_class_id = class_id
and i_category_id = category_id
),
avg_sales as
(select avg(quantity*list_price) average_sales
from (select ss_quantity quantity, ss_list_price list_price
from store_sales, date_dim
where ss_sold_date_sk = d_date_sk and d_year between 1999 and 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 * 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 = 1999 + 1 and d_moy = 12 and d_dom = 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)) 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 = 1999 and d_moy = 12 and d_dom = 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)) 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

16
src/main/resources/tpcds_2_4/q15.sql Normal file
View File

@ -0,0 +1,16 @@
--q15.sql--
select ca_zip, sum(cs_sales_price)
from catalog_sales, customer, customer_address, date_dim
where cs_bill_customer_sk = c_customer_sk
and c_current_addr_sk = ca_address_sk
and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
'85392', '85460', '80348', '81792')
or ca_state in ('CA','WA','GA')
or cs_sales_price > 500)
and cs_sold_date_sk = d_date_sk
and d_qoy = 2 and d_year = 2001
group by ca_zip
order by ca_zip
limit 100

25
src/main/resources/tpcds_2_4/q16.sql Normal file
View File

@ -0,0 +1,25 @@
--q16.sql--
select
count(distinct cs_order_number) as `order count`,
sum(cs_ext_ship_cost) as `total shipping cost`,
sum(cs_net_profit) as `total net profit`
from
catalog_sales cs1, date_dim, customer_address, call_center
where
d_date between cast ('2002-02-01' as date) and (cast('2002-02-01' as date) + interval '60' day)
and cs1.cs_ship_date_sk = d_date_sk
and cs1.cs_ship_addr_sk = ca_address_sk
and ca_state = 'GA'
and cs1.cs_call_center_sk = cc_call_center_sk
and cc_county in ('Williamson County','Williamson County','Williamson County','Williamson County', 'Williamson County')
and exists (select *
from catalog_sales cs2
where cs1.cs_order_number = cs2.cs_order_number
and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
and not exists(select *
from catalog_returns cr1
where cs1.cs_order_number = cr1.cr_order_number)
order by count(distinct cs_order_number)
limit 100

34
src/main/resources/tpcds_2_4/q17.sql Normal file
View File

@ -0,0 +1,34 @@
--q17.sql--
select i_item_id
,i_item_desc
,s_state
,count(ss_quantity) as store_sales_quantitycount
,avg(ss_quantity) as store_sales_quantityave
,stddev_samp(ss_quantity) as store_sales_quantitystdev
,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov
,count(sr_return_quantity) as_store_returns_quantitycount
,avg(sr_return_quantity) as_store_returns_quantityave
,stddev_samp(sr_return_quantity) as_store_returns_quantitystdev
,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov
,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave
,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitystdev
,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov
from store_sales, store_returns, catalog_sales, date_dim d1, date_dim d2, date_dim d3, store, item
where d1.d_quarter_name = '2001Q1'
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 ('2001Q1','2001Q2','2001Q3')
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 ('2001Q1','2001Q2','2001Q3')
group by i_item_id, i_item_desc, s_state
order by i_item_id, i_item_desc, s_state
limit 100

30
src/main/resources/tpcds_2_4/q18.sql Normal file
View File

@ -0,0 +1,30 @@
--q18.sql--
select i_item_id,
ca_country,
ca_state,
ca_county,
avg( cast(cs_quantity as decimal(12,2))) agg1,
avg( cast(cs_list_price as decimal(12,2))) agg2,
avg( cast(cs_coupon_amt as decimal(12,2))) agg3,
avg( cast(cs_sales_price as decimal(12,2))) agg4,
avg( cast(cs_net_profit as decimal(12,2))) agg5,
avg( cast(c_birth_year as decimal(12,2))) agg6,
avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7
from catalog_sales, customer_demographics cd1,
customer_demographics cd2, customer, customer_address, date_dim, item
where cs_sold_date_sk = d_date_sk and
cs_item_sk = i_item_sk and
cs_bill_cdemo_sk = cd1.cd_demo_sk and
cs_bill_customer_sk = c_customer_sk and
cd1.cd_gender = 'F' 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 (1,6,8,9,12,2) and
d_year = 1998 and
ca_state in ('MS','IN','ND','OK','NM','VA','MS')
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

18
src/main/resources/tpcds_2_4/q19.sql Normal file
View File

@ -0,0 +1,18 @@
--q19.sql--
select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
sum(ss_ext_sales_price) ext_price
from date_dim, store_sales, item,customer,customer_address,store
where d_date_sk = ss_sold_date_sk
and ss_item_sk = i_item_sk
and i_manager_id = 8
and d_moy = 11
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, brand, brand_id, i_manufact_id, i_manufact
limit 100

53
src/main/resources/tpcds_2_4/q2.sql Normal file
View File

@ -0,0 +1,53 @@
--q2.sql--
WITH wscs as
(SELECT sold_date_sk, sales_price
FROM (SELECT ws_sold_date_sk sold_date_sk, ws_ext_sales_price sales_price
FROM web_sales
UNION ALL
SELECT cs_sold_date_sk sold_date_sk, cs_ext_sales_price sales_price
FROM catalog_sales)),
wswscs AS
(SELECT d_week_seq,
sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
sum(case when (d_day_name='Tuesday') then sales_price else null end) tue_sales,
sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
FROM wscs, date_dim
WHERE d_date_sk = sold_date_sk
GROUP BY d_week_seq)
SELECT d_week_seq1
,round(sun_sales1/sun_sales2,2)
,round(mon_sales1/mon_sales2,2)
,round(tue_sales1/tue_sales2,2)
,round(wed_sales1/wed_sales2,2)
,round(thu_sales1/thu_sales2,2)
,round(fri_sales1/fri_sales2,2)
,round(sat_sales1/sat_sales2,2)
FROM
(SELECT wswscs.d_week_seq d_week_seq1
,sun_sales sun_sales1
,mon_sales mon_sales1
,tue_sales tue_sales1
,wed_sales wed_sales1
,thu_sales thu_sales1
,fri_sales fri_sales1
,sat_sales sat_sales1
FROM wswscs,date_dim
WHERE date_dim.d_week_seq = wswscs.d_week_seq AND d_year = 2001) y,
(SELECT wswscs.d_week_seq d_week_seq2
,sun_sales sun_sales2
,mon_sales mon_sales2
,tue_sales tue_sales2
,wed_sales wed_sales2
,thu_sales thu_sales2
,fri_sales fri_sales2
,sat_sales sat_sales2
FROM wswscs, date_dim
WHERE date_dim.d_week_seq = wswscs.d_week_seq AND d_year = 2001 + 1) z
WHERE d_week_seq1=d_week_seq2-53
ORDER BY d_week_seq1

19
src/main/resources/tpcds_2_4/q20.sql Normal file
View File

@ -0,0 +1,19 @@
--q20.sql--
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 ('Sports', 'Books', 'Home')
and cs_sold_date_sk = d_date_sk
and d_date between cast('1999-02-22' as date)
and (cast('1999-02-22' as date) + interval '30' day)
group by i_item_id, i_item_desc, i_category, i_class, i_current_price
order by i_category, i_class, i_item_id, i_item_desc, revenueratio
limit 100

25
src/main/resources/tpcds_2_4/q21.sql Normal file
View File

@ -0,0 +1,25 @@
--q21.sql--
select * from(
select w_warehouse_name, i_item_id,
sum(case when (cast(d_date as date) < cast ('2000-03-11' as date))
then inv_quantity_on_hand
else 0 end) as inv_before,
sum(case when (cast(d_date as date) >= cast ('2000-03-11' as date))
then inv_quantity_on_hand
else 0 end) as inv_after
from inventory, warehouse, item, date_dim
where i_current_price between 0.99 and 1.49
and i_item_sk = inv_item_sk
and inv_warehouse_sk = w_warehouse_sk
and inv_date_sk = d_date_sk
and d_date between (cast('2000-03-11' as date) - interval '30' day)
and (cast('2000-03-11' as date) + interval '30' day)
group by w_warehouse_name, i_item_id) x
where (case when inv_before > 0
then inv_after / inv_before
else null
end) between 2.0/3.0 and 3.0/2.0
order by w_warehouse_name, i_item_id
limit 100

12
src/main/resources/tpcds_2_4/q22.sql Normal file
View File

@ -0,0 +1,12 @@
--q22.sql--
select i_product_name, i_brand, i_class, i_category, avg(inv_quantity_on_hand) qoh
from inventory, date_dim, item, warehouse
where inv_date_sk=d_date_sk
and inv_item_sk=i_item_sk
and inv_warehouse_sk = w_warehouse_sk
and d_month_seq between 1200 and 1200 + 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

43
src/main/resources/tpcds_2_4/q23a.sql Normal file
View File

@ -0,0 +1,43 @@
--q23a.sql--
with frequent_ss_items as
(select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
from store_sales, date_dim, item
where ss_sold_date_sk = d_date_sk
and ss_item_sk = i_item_sk
and d_year in (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 = 2
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 = 2
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

50
src/main/resources/tpcds_2_4/q23b.sql Normal file
View File

@ -0,0 +1,50 @@
--q23b.sql--
with frequent_ss_items as
(select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
from store_sales, date_dim, item
where ss_sold_date_sk = d_date_sk
and ss_item_sk = i_item_sk
and d_year in (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) x),
best_ss_customer as
(select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
from store_sales
,customer
where ss_customer_sk = c_customer_sk
group by c_customer_sk
having sum(ss_quantity*ss_sales_price) > (95/100.0) *
(select * from max_store_sales))
select c_last_name,c_first_name,sales
from ((select c_last_name,c_first_name,sum(cs_quantity*cs_list_price) sales
from catalog_sales, customer, date_dim
where d_year = 2000
and d_moy = 2
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 = 2
and ws_sold_date_sk = d_date_sk
and ws_item_sk in (select item_sk from frequent_ss_items)
and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)
and ws_bill_customer_sk = c_customer_sk
group by c_last_name,c_first_name)) y
order by c_last_name,c_first_name,sales
limit 100

22
src/main/resources/tpcds_2_4/q24a.sql Normal file
View File

@ -0,0 +1,22 @@
--q24a.sql--
with ssales as
(select c_last_name, c_first_name, s_store_name, ca_state, s_state, i_color,
i_current_price, i_manager_id, i_units, i_size, sum(ss_net_paid) netpaid
from store_sales, store_returns, store, item, customer, customer_address
where ss_ticket_number = sr_ticket_number
and ss_item_sk = sr_item_sk
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
and c_birth_country = upper(ca_country)
and s_zip = ca_zip
and s_market_id = 8
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 = 'pale'
group by c_last_name, c_first_name, s_store_name
having sum(netpaid) > (select 0.05*avg(netpaid) from ssales)

22
src/main/resources/tpcds_2_4/q24b.sql Normal file
View File

@ -0,0 +1,22 @@
--q24b.sql--
with ssales as
(select c_last_name, c_first_name, s_store_name, ca_state, s_state, i_color,
i_current_price, i_manager_id, i_units, i_size, sum(ss_net_paid) netpaid
from store_sales, store_returns, store, item, customer, customer_address
where ss_ticket_number = sr_ticket_number
and ss_item_sk = sr_item_sk
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
and c_birth_country = upper(ca_country)
and s_zip = ca_zip
and s_market_id = 8
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)

32
src/main/resources/tpcds_2_4/q25.sql Normal file
View File

@ -0,0 +1,32 @@
--q25.sql--
select i_item_id, i_item_desc, s_store_id, s_store_name,
sum(ss_net_profit) as store_sales_profit,
sum(sr_net_loss) as store_returns_loss,
sum(cs_net_profit) as catalog_sales_profit
from
store_sales, store_returns, catalog_sales, date_dim d1, date_dim d2, date_dim d3,
store, item
where
d1.d_moy = 4
and d1.d_year = 2001
and d1.d_date_sk = ss_sold_date_sk
and i_item_sk = ss_item_sk
and s_store_sk = ss_store_sk
and ss_customer_sk = sr_customer_sk
and ss_item_sk = sr_item_sk
and ss_ticket_number = sr_ticket_number
and sr_returned_date_sk = d2.d_date_sk
and d2.d_moy between 4 and 10
and d2.d_year = 2001
and sr_customer_sk = cs_bill_customer_sk
and sr_item_sk = cs_item_sk
and cs_sold_date_sk = d3.d_date_sk
and d3.d_moy between 4 and 10
and d3.d_year = 2001
group by
i_item_id, i_item_desc, s_store_id, s_store_name
order by
i_item_id, i_item_desc, s_store_id, s_store_name
limit 100

21
src/main/resources/tpcds_2_4/q26.sql Normal file
View File

@ -0,0 +1,21 @@
--q26.sql--
select i_item_id,
avg(cs_quantity) agg1,
avg(cs_list_price) agg2,
avg(cs_coupon_amt) agg3,
avg(cs_sales_price) agg4
from catalog_sales, customer_demographics, date_dim, item, promotion
where cs_sold_date_sk = d_date_sk and
cs_item_sk = i_item_sk and
cs_bill_cdemo_sk = cd_demo_sk and
cs_promo_sk = p_promo_sk and
cd_gender = 'M' and
cd_marital_status = 'S' and
cd_education_status = 'College' and
(p_channel_email = 'N' or p_channel_event = 'N') and
d_year = 2000
group by i_item_id
order by i_item_id
limit 100

22
src/main/resources/tpcds_2_4/q27.sql Normal file
View File

@ -0,0 +1,22 @@
--q27.sql--
select i_item_id,
s_state, grouping(s_state) g_state,
avg(ss_quantity) agg1,
avg(ss_list_price) agg2,
avg(ss_coupon_amt) agg3,
avg(ss_sales_price) agg4
from store_sales, customer_demographics, date_dim, store, item
where ss_sold_date_sk = d_date_sk and
ss_item_sk = i_item_sk and
ss_store_sk = s_store_sk and
ss_cdemo_sk = cd_demo_sk and
cd_gender = 'M' and
cd_marital_status = 'S' and
cd_education_status = 'College' and
d_year = 2002 and
s_state in ('TN','TN', 'TN', 'TN', 'TN', 'TN')
group by rollup (i_item_id, s_state)
order by i_item_id, s_state
limit 100

53
src/main/resources/tpcds_2_4/q28.sql Normal file
View File

@ -0,0 +1,53 @@
--q28.sql--
select *
from (select avg(ss_list_price) B1_LP
,count(ss_list_price) B1_CNT
,count(distinct ss_list_price) B1_CNTD
from store_sales
where ss_quantity between 0 and 5
and (ss_list_price between 8 and 8+10
or ss_coupon_amt between 459 and 459+1000
or ss_wholesale_cost between 57 and 57+20)) B1 cross join
(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 90 and 90+10
or ss_coupon_amt between 2323 and 2323+1000
or ss_wholesale_cost between 31 and 31+20)) B2 cross join
(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 142 and 142+10
or ss_coupon_amt between 12214 and 12214+1000
or ss_wholesale_cost between 79 and 79+20)) B3 cross join
(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 135 and 135+10
or ss_coupon_amt between 6071 and 6071+1000
or ss_wholesale_cost between 38 and 38+20)) B4 cross join
(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 122 and 122+10
or ss_coupon_amt between 836 and 836+1000
or ss_wholesale_cost between 17 and 17+20)) B5 cross join
(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 154 and 154+10
or ss_coupon_amt between 7326 and 7326+1000
or ss_wholesale_cost between 7 and 7+20)) B6
limit 100

35
src/main/resources/tpcds_2_4/q29.sql Normal file
View File

@ -0,0 +1,35 @@
--q29.sql--
select
i_item_id
,i_item_desc
,s_store_id
,s_store_name
,sum(ss_quantity) as store_sales_quantity
,sum(sr_return_quantity) as store_returns_quantity
,sum(cs_quantity) as catalog_sales_quantity
from
store_sales, store_returns, catalog_sales, date_dim d1, date_dim d2,
date_dim d3, store, item
where
d1.d_moy = 9
and d1.d_year = 1999
and d1.d_date_sk = ss_sold_date_sk
and i_item_sk = ss_item_sk
and s_store_sk = ss_store_sk
and ss_customer_sk = sr_customer_sk
and ss_item_sk = sr_item_sk
and ss_ticket_number = sr_ticket_number
and sr_returned_date_sk = d2.d_date_sk
and d2.d_moy between 9 and 9 + 3
and d2.d_year = 1999
and sr_customer_sk = cs_bill_customer_sk
and sr_item_sk = cs_item_sk
and cs_sold_date_sk = d3.d_date_sk
and d3.d_year in (1999,1999+1,1999+2)
group by
i_item_id, i_item_desc, s_store_id, s_store_name
order by
i_item_id, i_item_desc, s_store_id, s_store_name
limit 100

12
src/main/resources/tpcds_2_4/q3.sql Normal file
View File

@ -0,0 +1,12 @@
--q3.sql--
SELECT dt.d_year, item.i_brand_id brand_id, item.i_brand brand,SUM(ss_ext_sales_price) sum_agg
FROM date_dim dt, store_sales, item
WHERE dt.d_date_sk = store_sales.ss_sold_date_sk
AND store_sales.ss_item_sk = item.i_item_sk
AND item.i_manufact_id = 128
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

26
src/main/resources/tpcds_2_4/q30.sql Normal file
View File

@ -0,0 +1,26 @@
--q30.sql--
with customer_total_return as
(select wr_returning_customer_sk as ctr_customer_sk
,ca_state as ctr_state,
sum(wr_return_amt) as ctr_total_return
from web_returns, date_dim, customer_address
where wr_returned_date_sk = d_date_sk
and d_year = 2002
and wr_returning_addr_sk = ca_address_sk
group by wr_returning_customer_sk,ca_state)
select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
,c_last_review_date,ctr_total_return
from customer_total_return ctr1, customer_address, customer
where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
from customer_total_return ctr2
where ctr1.ctr_state = ctr2.ctr_state)
and ca_address_sk = c_current_addr_sk
and ca_state = '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,ctr_total_return
limit 100

47
src/main/resources/tpcds_2_4/q31.sql Normal file
View File

@ -0,0 +1,47 @@
--q31.sql--
with ss as
(select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
from store_sales,date_dim,customer_address
where ss_sold_date_sk = d_date_sk
and ss_addr_sk=ca_address_sk
group by ca_county,d_qoy, d_year),
ws as
(select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales
from web_sales,date_dim,customer_address
where ws_sold_date_sk = d_date_sk
and ws_bill_addr_sk=ca_address_sk
group by ca_county,d_qoy, d_year)
select
ss1.ca_county
,ss1.d_year
,ws2.web_sales/ws1.web_sales web_q1_q2_increase
,ss2.store_sales/ss1.store_sales store_q1_q2_increase
,ws3.web_sales/ws2.web_sales web_q2_q3_increase
,ss3.store_sales/ss2.store_sales store_q2_q3_increase
from
ss ss1, ss ss2, ss ss3, ws ws1, ws ws2, ws ws3
where
ss1.d_qoy = 1
and ss1.d_year = 2000
and ss1.ca_county = ss2.ca_county
and ss2.d_qoy = 2
and ss2.d_year = 2000
and ss2.ca_county = ss3.ca_county
and ss3.d_qoy = 3
and ss3.d_year = 2000
and ss1.ca_county = ws1.ca_county
and ws1.d_qoy = 1
and ws1.d_year = 2000
and ws1.ca_county = ws2.ca_county
and ws2.d_qoy = 2
and ws2.d_year = 2000
and ws1.ca_county = ws3.ca_county
and ws3.d_qoy = 3
and ws3.d_year = 2000
and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end
> case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end
and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end
> case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
order by ss1.ca_county

18
src/main/resources/tpcds_2_4/q32.sql Normal file
View File

@ -0,0 +1,18 @@
--q32.sql--
select sum(cs_ext_discount_amt) as `excess discount amount`
from
catalog_sales, item, date_dim
where
i_manufact_id = 977
and i_item_sk = cs_item_sk
and d_date between cast ('2000-01-27' as date) and (cast('2000-01-27' as date) + interval '90' day)
and d_date_sk = cs_sold_date_sk
and cs_ext_discount_amt > (
select 1.3 * avg(cs_ext_discount_amt)
from catalog_sales, date_dim
where cs_item_sk = i_item_sk
and d_date between cast ('2000-01-27' as date) and (cast('2000-01-27' as date) + interval '90' day)
and d_date_sk = cs_sold_date_sk)
limit 100

56
src/main/resources/tpcds_2_4/q33.sql Normal file
View File

@ -0,0 +1,56 @@
--q33.sql--
with ss as (
select
i_manufact_id,sum(ss_ext_sales_price) total_sales
from
store_sales, date_dim, customer_address, item
where
i_manufact_id in (select i_manufact_id
from item
where i_category in ('Electronics'))
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 = -5
group by i_manufact_id), cs as
(select i_manufact_id, sum(cs_ext_sales_price) total_sales
from catalog_sales, date_dim, customer_address, item
where
i_manufact_id in (
select i_manufact_id from item
where
i_category in ('Electronics'))
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 = -5
group by i_manufact_id),
ws as (
select i_manufact_id,sum(ws_ext_sales_price) total_sales
from
web_sales, date_dim, customer_address, item
where
i_manufact_id in (select i_manufact_id from item
where i_category in ('Electronics'))
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 = -5
group by i_manufact_id)
select i_manufact_id ,sum(total_sales) total_sales
from (select * from ss
union all
select * from cs
union all
select * from ws) tmp1
group by i_manufact_id
order by total_sales
limit 100

26
src/main/resources/tpcds_2_4/q34.sql Normal file
View File

@ -0,0 +1,26 @@
--q34.sql--
select c_last_name, c_first_name, c_salutation, c_preferred_cust_flag, ss_ticket_number,
cnt
FROM
(select ss_ticket_number, ss_customer_sk, count(*) cnt
from store_sales,date_dim,store,household_demographics
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_store_sk = store.s_store_sk
and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
and (date_dim.d_dom between 1 and 3 or date_dim.d_dom between 25 and 28)
and (household_demographics.hd_buy_potential = '>10000' or
household_demographics.hd_buy_potential = 'unknown')
and household_demographics.hd_vehicle_count > 0
and (case when household_demographics.hd_vehicle_count > 0
then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count
else null
end) > 1.2
and date_dim.d_year in (1999, 1999+1, 1999+2)
and store.s_county in ('Williamson County','Williamson County','Williamson County','Williamson County',
'Williamson County','Williamson County','Williamson County','Williamson County')
group by ss_ticket_number,ss_customer_sk) dn,customer
where ss_customer_sk = c_customer_sk
and cnt between 15 and 20
order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc, ss_ticket_number

47
src/main/resources/tpcds_2_4/q35.sql Normal file
View File

@ -0,0 +1,47 @@
--q35.sql--
select
ca_state,
cd_gender,
cd_marital_status,
cd_dep_count,
count(*) cnt1,
min(cd_dep_count),
max(cd_dep_count),
avg(cd_dep_count),
cd_dep_employed_count,
count(*) cnt2,
min(cd_dep_employed_count),
max(cd_dep_employed_count),
avg(cd_dep_employed_count),
cd_dep_college_count,
count(*) cnt3,
min(cd_dep_college_count),
max(cd_dep_college_count),
avg(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 = 2002 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 = 2002 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 = 2002 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

26
src/main/resources/tpcds_2_4/q36.sql Normal file
View File

@ -0,0 +1,26 @@
--q36.sql--
select
sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin
,i_category
,i_class
,grouping(i_category)+grouping(i_class) as lochierarchy
,rank() over (
partition by grouping(i_category)+grouping(i_class),
case when grouping(i_class) = 0 then i_category end
order by sum(ss_net_profit)/sum(ss_ext_sales_price) asc) as rank_within_parent
from
store_sales, date_dim d1, item, store
where
d1.d_year = 2001
and d1.d_date_sk = ss_sold_date_sk
and i_item_sk = ss_item_sk
and s_store_sk = ss_store_sk
and s_state in ('TN','TN','TN','TN','TN','TN','TN','TN')
group by rollup(i_category,i_class)
order by
lochierarchy desc
,case when lochierarchy = 0 then i_category end
,rank_within_parent
limit 100

15
src/main/resources/tpcds_2_4/q37.sql Normal file
View File

@ -0,0 +1,15 @@
--q37.sql--
select i_item_id, i_item_desc, i_current_price
from item, inventory, date_dim, catalog_sales
where i_current_price between 68 and 68 + 30
and inv_item_sk = i_item_sk
and d_date_sk=inv_date_sk
and d_date between cast('2000-02-01' as date) and (cast('2000-02-01' as date) + interval '60' day)
and i_manufact_id in (677,940,694,808)
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

23
src/main/resources/tpcds_2_4/q38.sql Normal file
View File

@ -0,0 +1,23 @@
--q38.sql--
select count(*) from (
select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_customer_sk = customer.c_customer_sk
and d_month_seq between 1200 and 1200 + 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 1200 and 1200 + 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 1200 and 1200 + 11
) hot_cust
limit 100

24
src/main/resources/tpcds_2_4/q39a.sql Normal file
View File

@ -0,0 +1,24 @@
--q39a.sql--
with inv as
(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stdev,mean, case mean when 0 then null else stdev/mean end cov
from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
from inventory, item, warehouse, date_dim
where inv_item_sk = i_item_sk
and inv_warehouse_sk = w_warehouse_sk
and inv_date_sk = d_date_sk
and d_year = 2001
group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo
where case mean when 0 then 0 else stdev/mean end > 1)
select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov
,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov
from inv inv1,inv inv2
where inv1.i_item_sk = inv2.i_item_sk
and inv1.w_warehouse_sk = inv2.w_warehouse_sk
and inv1.d_moy=1
and inv2.d_moy=1+1
order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
,inv2.d_moy,inv2.mean, inv2.cov

25
src/main/resources/tpcds_2_4/q39b.sql Normal file
View File

@ -0,0 +1,25 @@
--q39b.sql--
with inv as
(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stdev,mean, case mean when 0 then null else stdev/mean end cov
from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
from inventory, item, warehouse, date_dim
where inv_item_sk = i_item_sk
and inv_warehouse_sk = w_warehouse_sk
and inv_date_sk = d_date_sk
and d_year = 2001
group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo
where case mean when 0 then 0 else stdev/mean end > 1)
select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov
,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov
from inv inv1,inv inv2
where inv1.i_item_sk = inv2.i_item_sk
and inv1.w_warehouse_sk = inv2.w_warehouse_sk
and inv1.d_moy=1
and inv2.d_moy=1+1
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

103
src/main/resources/tpcds_2_4/q4.sql Normal file
View File

@ -0,0 +1,103 @@
--q4.sql--
WITH year_total AS (
SELECT c_customer_id customer_id,
c_first_name customer_first_name,
c_last_name customer_last_name,
c_preferred_cust_flag customer_preferred_cust_flag,
c_birth_country customer_birth_country,
c_login customer_login,
c_email_address customer_email_address,
d_year dyear,
sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total,
's' sale_type
FROM customer, store_sales, date_dim
WHERE c_customer_sk = ss_customer_sk AND ss_sold_date_sk = d_date_sk
GROUP BY c_customer_id,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_country,
c_login,
c_email_address,
d_year
UNION ALL
SELECT c_customer_id customer_id,
c_first_name customer_first_name,
c_last_name customer_last_name,
c_preferred_cust_flag customer_preferred_cust_flag,
c_birth_country customer_birth_country,
c_login customer_login,
c_email_address customer_email_address,
d_year dyear,
sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2) ) year_total,
'c' sale_type
FROM customer, catalog_sales, date_dim
WHERE c_customer_sk = cs_bill_customer_sk AND cs_sold_date_sk = d_date_sk
GROUP BY c_customer_id,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_country,
c_login,
c_email_address,
d_year
UNION ALL
SELECT c_customer_id customer_id
,c_first_name customer_first_name
,c_last_name customer_last_name
,c_preferred_cust_flag customer_preferred_cust_flag
,c_birth_country customer_birth_country
,c_login customer_login
,c_email_address customer_email_address
,d_year dyear
,sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2) ) year_total
,'w' sale_type
FROM customer, web_sales, date_dim
WHERE c_customer_sk = ws_bill_customer_sk AND ws_sold_date_sk = d_date_sk
GROUP BY c_customer_id,
c_first_name,
c_last_name,
c_preferred_cust_flag,
c_birth_country,
c_login,
c_email_address,
d_year)
SELECT
t_s_secyear.customer_id,
t_s_secyear.customer_first_name,
t_s_secyear.customer_last_name,
t_s_secyear.customer_preferred_cust_flag
FROM year_total t_s_firstyear, year_total t_s_secyear, year_total t_c_firstyear,
year_total t_c_secyear, year_total t_w_firstyear, year_total t_w_secyear
WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id
and t_s_firstyear.customer_id = t_c_secyear.customer_id
and t_s_firstyear.customer_id = t_c_firstyear.customer_id
and t_s_firstyear.customer_id = t_w_firstyear.customer_id
and t_s_firstyear.customer_id = t_w_secyear.customer_id
and t_s_firstyear.sale_type = 's'
and t_c_firstyear.sale_type = 'c'
and t_w_firstyear.sale_type = 'w'
and t_s_secyear.sale_type = 's'
and t_c_secyear.sale_type = 'c'
and t_w_secyear.sale_type = 'w'
and t_s_firstyear.dyear = 2001
and t_s_secyear.dyear = 2001+1
and t_c_firstyear.dyear = 2001
and t_c_secyear.dyear = 2001+1
and t_w_firstyear.dyear = 2001
and t_w_secyear.dyear = 2001+1
and t_s_firstyear.year_total > 0
and t_c_firstyear.year_total > 0
and t_w_firstyear.year_total > 0
and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
> case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
> case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
ORDER BY
t_s_secyear.customer_id,
t_s_secyear.customer_first_name,
t_s_secyear.customer_last_name,
t_s_secyear.customer_preferred_cust_flag
LIMIT 100

25
src/main/resources/tpcds_2_4/q40.sql Normal file
View File

@ -0,0 +1,25 @@
--q40.sql--
select
w_state
,i_item_id
,sum(case when (cast(d_date as date) < cast('2000-03-11' 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('2000-03-11' 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('2000-03-11' as date) - interval '30' day)
and (cast('2000-03-11' as date) + interval '30' day)
group by w_state,i_item_id
order by w_state,i_item_id
limit 100

52
src/main/resources/tpcds_2_4/q41.sql Normal file
View File

@ -0,0 +1,52 @@
--q41.sql--
select distinct(i_product_name)
from item i1
where i_manufact_id between 738 and 738+40
and (select count(*) as item_cnt
from item
where (i_manufact = i1.i_manufact and
((i_category = 'Women' and
(i_color = 'powder' or i_color = 'khaki') and
(i_units = 'Ounce' or i_units = 'Oz') and
(i_size = 'medium' or i_size = 'extra large')
) or
(i_category = 'Women' and
(i_color = 'brown' or i_color = 'honeydew') and
(i_units = 'Bunch' or i_units = 'Ton') and
(i_size = 'N/A' or i_size = 'small')
) or
(i_category = 'Men' and
(i_color = 'floral' or i_color = 'deep') and
(i_units = 'N/A' or i_units = 'Dozen') and
(i_size = 'petite' or i_size = 'large')
) or
(i_category = 'Men' and
(i_color = 'light' or i_color = 'cornflower') and
(i_units = 'Box' or i_units = 'Pound') and
(i_size = 'medium' or i_size = 'extra large')
))) or
(i_manufact = i1.i_manufact and
((i_category = 'Women' and
(i_color = 'midnight' or i_color = 'snow') and
(i_units = 'Pallet' or i_units = 'Gross') and
(i_size = 'medium' or i_size = 'extra large')
) or
(i_category = 'Women' and
(i_color = 'cyan' or i_color = 'papaya') and
(i_units = 'Cup' or i_units = 'Dram') and
(i_size = 'N/A' or i_size = 'small')
) or
(i_category = 'Men' and
(i_color = 'orange' or i_color = 'frosted') and
(i_units = 'Each' or i_units = 'Tbl') and
(i_size = 'petite' or i_size = 'large')
) or
(i_category = 'Men' and
(i_color = 'forest' or i_color = 'ghost') and
(i_units = 'Lb' or i_units = 'Bundle') and
(i_size = 'medium' or i_size = 'extra large')
)))) > 0
order by i_product_name
limit 100

17
src/main/resources/tpcds_2_4/q42.sql Normal file
View File

@ -0,0 +1,17 @@
--q42.sql--
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=11
and dt.d_year=2000
group by dt.d_year
,item.i_category_id
,item.i_category
order by sum(ss_ext_sales_price) desc,dt.d_year
,item.i_category_id
,item.i_category
limit 100

20
src/main/resources/tpcds_2_4/q43.sql Normal file
View File

@ -0,0 +1,20 @@
--q43.sql--
select s_store_name, s_store_id,
sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales,
sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
from date_dim, store_sales, store
where d_date_sk = ss_sold_date_sk and
s_store_sk = ss_store_sk and
s_gmt_offset = -5 and
d_year = 2000
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

34
src/main/resources/tpcds_2_4/q44.sql Normal file
View File

@ -0,0 +1,34 @@
--q44.sql--
select asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing
from(select *
from (select item_sk,rank() over (order by rank_col asc) rnk
from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col
from store_sales ss1
where ss_store_sk = 4
group by ss_item_sk
having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
from store_sales
where ss_store_sk = 4
and ss_addr_sk is null
group by ss_store_sk))V1)V11
where rnk < 11) asceding,
(select *
from (select item_sk,rank() over (order by rank_col desc) rnk
from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col
from store_sales ss1
where ss_store_sk = 4
group by ss_item_sk
having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
from store_sales
where ss_store_sk = 4
and ss_addr_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

20
src/main/resources/tpcds_2_4/q45.sql Normal file
View File

@ -0,0 +1,20 @@
--q45.sql--
select ca_zip, ca_city, sum(ws_sales_price)
from web_sales, customer, customer_address, date_dim, item
where ws_bill_customer_sk = c_customer_sk
and c_current_addr_sk = ca_address_sk
and ws_item_sk = i_item_sk
and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792')
or
i_item_id in (select i_item_id
from item
where i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
)
)
and ws_sold_date_sk = d_date_sk
and d_qoy = 2 and d_year = 2001
group by ca_zip, ca_city
order by ca_zip, ca_city
limit 100

26
src/main/resources/tpcds_2_4/q46.sql Normal file
View File

@ -0,0 +1,26 @@
--q46.sql--
select c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number, amt,profit
from
(select ss_ticket_number
,ss_customer_sk
,ca_city bought_city
,sum(ss_coupon_amt) amt
,sum(ss_net_profit) profit
from store_sales, date_dim, store, household_demographics, customer_address
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_store_sk = store.s_store_sk
and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
and store_sales.ss_addr_sk = customer_address.ca_address_sk
and (household_demographics.hd_dep_count = 4 or
household_demographics.hd_vehicle_count= 3)
and date_dim.d_dow in (6,0)
and date_dim.d_year in (1999,1999+1,1999+2)
and store.s_city in ('Fairview','Midway','Fairview','Fairview','Fairview')
group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr
where ss_customer_sk = c_customer_sk
and customer.c_current_addr_sk = current_addr.ca_address_sk
and current_addr.ca_city <> bought_city
order by c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number
limit 100

49
src/main/resources/tpcds_2_4/q47.sql Normal file
View File

@ -0,0 +1,49 @@
--q47.sql--
with v1 as(
select i_category, i_brand,
s_store_name, s_company_name,
d_year, d_moy,
sum(ss_sales_price) sum_sales,
avg(sum(ss_sales_price)) over
(partition by i_category, i_brand,
s_store_name, s_company_name, d_year)
avg_monthly_sales,
rank() over
(partition by i_category, i_brand,
s_store_name, s_company_name
order by d_year, d_moy) rn
from item, store_sales, date_dim, store
where ss_item_sk = i_item_sk and
ss_sold_date_sk = d_date_sk and
ss_store_sk = s_store_sk and
(
d_year = 1999 or
( d_year = 1999-1 and d_moy =12) or
( d_year = 1999+1 and d_moy =1)
)
group by i_category, i_brand,
s_store_name, s_company_name,
d_year, d_moy),
v2 as(
select v1.i_category, v1.i_brand, v1.s_store_name, v1.s_company_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, 3
limit 100

66
src/main/resources/tpcds_2_4/q48.sql Normal file
View File

@ -0,0 +1,66 @@
--q48.sql--
select sum (ss_quantity)
from store_sales, store, customer_demographics, customer_address, date_dim
where s_store_sk = ss_store_sk
and ss_sold_date_sk = d_date_sk and d_year = 2000
and
(
(
cd_demo_sk = ss_cdemo_sk
and
cd_marital_status = 'M'
and
cd_education_status = '4 yr Degree'
and
ss_sales_price between 100.00 and 150.00
)
or
(
cd_demo_sk = ss_cdemo_sk
and
cd_marital_status = 'D'
and
cd_education_status = '2 yr Degree'
and
ss_sales_price between 50.00 and 100.00
)
or
(
cd_demo_sk = ss_cdemo_sk
and
cd_marital_status = 'S'
and
cd_education_status = 'College'
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 ('CO', 'OH', 'TX')
and ss_net_profit between 0 and 2000
)
or
(ss_addr_sk = ca_address_sk
and
ca_country = 'United States'
and
ca_state in ('OR', 'MN', 'KY')
and ss_net_profit between 150 and 3000
)
or
(ss_addr_sk = ca_address_sk
and
ca_country = 'United States'
and
ca_state in ('VA', 'CA', 'MS')
and ss_net_profit between 50 and 25000
)
)

98
src/main/resources/tpcds_2_4/q49.sql Normal file
View File

@ -0,0 +1,98 @@
--q49.sql--
select 'web' as channel, web.item, web.return_ratio, web.return_rank, web.currency_rank
from (
select
item, return_ratio, currency_ratio,
rank() over (order by return_ratio) as return_rank,
rank() over (order by currency_ratio) as currency_rank
from
( select ws.ws_item_sk as item
,(cast(sum(coalesce(wr.wr_return_quantity,0)) as decimal(15,4))/
cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as return_ratio
,(cast(sum(coalesce(wr.wr_return_amt,0)) as decimal(15,4))/
cast(sum(coalesce(ws.ws_net_paid,0)) as decimal(15,4) )) as currency_ratio
from
web_sales ws left outer join web_returns wr
on (ws.ws_order_number = wr.wr_order_number and
ws.ws_item_sk = wr.wr_item_sk)
,date_dim
where
wr.wr_return_amt > 10000
and ws.ws_net_profit > 1
and ws.ws_net_paid > 0
and ws.ws_quantity > 0
and ws_sold_date_sk = d_date_sk
and d_year = 2001
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 = 2001
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 = 2001
and d_moy = 12
group by sts.ss_item_sk
) in_store
) store
where (store.return_rank <= 10 or store.currency_rank <= 10)
order by 1,4,5
limit 100

120
src/main/resources/tpcds_2_4/q5.sql Normal file
View File

@ -0,0 +1,120 @@
--q5.sql--
WITH ssr AS
(SELECT s_store_id,
sum(sales_price) as sales,
sum(profit) as profit,
sum(return_amt) as returns,
sum(net_loss) as profit_loss
FROM
(SELECT ss_store_sk as store_sk,
ss_sold_date_sk as date_sk,
ss_ext_sales_price as sales_price,
ss_net_profit as profit,
cast(0 as decimal(7,2)) as return_amt,
cast(0 as decimal(7,2)) as net_loss
FROM store_sales
UNION ALL
SELECT sr_store_sk as store_sk,
sr_returned_date_sk as date_sk,
cast(0 as decimal(7,2)) as sales_price,
cast(0 as decimal(7,2)) as profit,
sr_return_amt as return_amt,
sr_net_loss as net_loss
FROM store_returns)
salesreturns, date_dim, store
WHERE date_sk = d_date_sk
and d_date between cast('2000-08-23' as date)
and ((cast('2000-08-23' 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('2000-08-23' as date)
and ((cast('2000-08-23' 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('2000-08-23' as date)
and ((cast('2000-08-23' as date) + interval '14' day))
and wsr_web_site_sk = web_site_sk
GROUP BY web_site_id)
SELECT channel,
id,
sum(sales) as sales,
sum(returns) as returns,
sum(profit) as profit
from
(select 'store channel' as channel,
concat('store', s_store_id) as id,
sales,
returns,
(profit - profit_loss) as profit
FROM ssr
UNION ALL
select 'catalog channel' as channel,
concat('catalog_page', cp_catalog_page_id) as id,
sales,
returns,
(profit - profit_loss) as profit
FROM csr
UNION ALL
SELECT 'web channel' as channel,
concat('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

32
src/main/resources/tpcds_2_4/q50.sql Normal file
View File

@ -0,0 +1,32 @@
--q50.sql--
select
s_store_name, s_company_id, s_street_number, s_street_name, s_street_type,
s_suite_number, s_city, s_county, s_state, s_zip
,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as `30 days`
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and
(sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as `31-60 days`
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and
(sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as `61-90 days`
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
(sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as `91-120 days`
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as `>120 days`
from
store_sales, store_returns, store, date_dim d1, date_dim d2
where
d2.d_year = 2001
and d2.d_moy = 8
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

39
src/main/resources/tpcds_2_4/q51.sql Normal file
View File

@ -0,0 +1,39 @@
--q51.sql--
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 1200 and 1200+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 1200 and 1200+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

16
src/main/resources/tpcds_2_4/q52.sql Normal file
View File

@ -0,0 +1,16 @@
--q52.sql--
select dt.d_year
,item.i_brand_id brand_id
,item.i_brand brand
,sum(ss_ext_sales_price) ext_price
from date_dim dt, store_sales, item
where dt.d_date_sk = store_sales.ss_sold_date_sk
and store_sales.ss_item_sk = item.i_item_sk
and item.i_manager_id = 1
and dt.d_moy=11
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

30
src/main/resources/tpcds_2_4/q53.sql Normal file
View File

@ -0,0 +1,30 @@
--q53.sql--
select * from
(select i_manufact_id,
sum(ss_sales_price) sum_sales,
avg(sum(ss_sales_price)) over (partition by i_manufact_id) avg_quarterly_sales
from item, store_sales, date_dim, store
where ss_item_sk = i_item_sk and
ss_sold_date_sk = d_date_sk and
ss_store_sk = s_store_sk and
d_month_seq in (1200,1200+1,1200+2,1200+3,1200+4,1200+5,1200+6,
1200+7,1200+8,1200+9,1200+10,1200+11) and
((i_category in ('Books','Children','Electronics') and
i_class in ('personal','portable','reference','self-help') and
i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
'exportiunivamalg #9','scholaramalgamalg #9'))
or
(i_category in ('Women','Music','Men') and
i_class in ('accessories','classical','fragrances','pants') and
i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
'importoamalg #1')))
group by i_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

54
src/main/resources/tpcds_2_4/q54.sql Normal file
View File

@ -0,0 +1,54 @@
--q54.sql--
with my_customers as (
select distinct c_customer_sk
, c_current_addr_sk
from
( select cs_sold_date_sk sold_date_sk,
cs_bill_customer_sk customer_sk,
cs_item_sk item_sk
from catalog_sales
union all
select ws_sold_date_sk sold_date_sk,
ws_bill_customer_sk customer_sk,
ws_item_sk item_sk
from web_sales
) cs_or_ws_sales,
item,
date_dim,
customer
where sold_date_sk = d_date_sk
and item_sk = i_item_sk
and i_category = 'Women'
and i_class = 'maternity'
and c_customer_sk = cs_or_ws_sales.customer_sk
and d_moy = 12
and d_year = 1998
)
, 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 = 1998 and d_moy = 12)
and (select distinct d_month_seq+3
from date_dim where d_year = 1998 and d_moy = 12)
group by c_customer_sk
)
, segments as
(select cast((revenue/50) as integer) 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

14
src/main/resources/tpcds_2_4/q55.sql Normal file
View File

@ -0,0 +1,14 @@
--q55.sql--
select i_brand_id brand_id, i_brand brand,
sum(ss_ext_sales_price) ext_price
from date_dim, store_sales, item
where d_date_sk = ss_sold_date_sk
and ss_item_sk = i_item_sk
and i_manager_id=28
and d_moy=11
and d_year=1999
group by i_brand, i_brand_id
order by ext_price desc, brand_id
limit 100

51
src/main/resources/tpcds_2_4/q56.sql Normal file
View File

@ -0,0 +1,51 @@
--q56.sql--
with ss as (
select i_item_id,sum(ss_ext_sales_price) total_sales
from
store_sales, date_dim, customer_address, item
where
i_item_id in (select i_item_id from item where i_color in ('slate','blanched','burnished'))
and ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and d_year = 2001
and d_moy = 2
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_color in ('slate','blanched','burnished'))
and cs_item_sk = i_item_sk
and cs_sold_date_sk = d_date_sk
and d_year = 2001
and d_moy = 2
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_color in ('slate','blanched','burnished'))
and ws_item_sk = i_item_sk
and ws_sold_date_sk = d_date_sk
and d_year = 2001
and d_moy = 2
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 total_sales
limit 100

44
src/main/resources/tpcds_2_4/q57.sql Normal file
View File

@ -0,0 +1,44 @@
--q57.sql--
with v1 as(
select i_category, i_brand,
cc_name,
d_year, d_moy,
sum(cs_sales_price) sum_sales,
avg(sum(cs_sales_price)) over
(partition by i_category, i_brand, cc_name, d_year)
avg_monthly_sales,
rank() over
(partition by i_category, i_brand, cc_name
order by d_year, d_moy) rn
from item, catalog_sales, date_dim, call_center
where cs_item_sk = i_item_sk and
cs_sold_date_sk = d_date_sk and
cc_call_center_sk= cs_call_center_sk and
(
d_year = 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.cc_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. 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, 3
limit 100

56
src/main/resources/tpcds_2_4/q58.sql Normal file
View File

@ -0,0 +1,56 @@
--q58.sql--
with ss_items as
(select i_item_id item_id, sum(ss_ext_sales_price) ss_item_rev
from store_sales, item, date_dim
where ss_item_sk = i_item_sk
and d_date in (select d_date
from date_dim
where d_week_seq = (select d_week_seq
from date_dim
where d_date = cast('2000-01-03' as date)))
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 = cast('2000-01-03' as date)))
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 = cast('2000-01-03' as date)))
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 ss_items.item_id, ss_item_rev
limit 100

44
src/main/resources/tpcds_2_4/q59.sql Normal file
View File

@ -0,0 +1,44 @@
--q59.sql--
with wss as
(select d_week_seq,
ss_store_sk,
sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales,
sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
from store_sales,date_dim
where d_date_sk = ss_sold_date_sk
group by d_week_seq,ss_store_sk
)
select s_store_name1,s_store_id1,d_week_seq1
,sun_sales1/sun_sales2,mon_sales1/mon_sales2
,tue_sales1/tue_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 1212 and 1212 + 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 1212+ 12 and 1212 + 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

21
src/main/resources/tpcds_2_4/q6.sql Normal file
View File

@ -0,0 +1,21 @@
--q6.sql--
SELECT state, cnt FROM (
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 = 2001 AND d_moy = 1)
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
)
WHERE cnt >= 10
ORDER BY cnt LIMIT 100

48
src/main/resources/tpcds_2_4/q60.sql Normal file
View File

@ -0,0 +1,48 @@
--q60.sql--
with ss as (
select i_item_id,sum(ss_ext_sales_price) total_sales
from store_sales, date_dim, customer_address, item
where
i_item_id in (select i_item_id from item where i_category in ('Music'))
and ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and d_year = 1998
and d_moy = 9
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 ('Music'))
and cs_item_sk = i_item_sk
and cs_sold_date_sk = d_date_sk
and d_year = 1998
and d_moy = 9
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 ('Music'))
and ws_item_sk = i_item_sk
and ws_sold_date_sk = d_date_sk
and d_year = 1998
and d_moy = 9
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

33
src/main/resources/tpcds_2_4/q61.sql Normal file
View File

@ -0,0 +1,33 @@
--q61.sql--
select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
from
(select sum(ss_ext_sales_price) promotions
from store_sales, store, promotion, date_dim, customer, customer_address, item
where ss_sold_date_sk = d_date_sk
and ss_store_sk = s_store_sk
and ss_promo_sk = p_promo_sk
and ss_customer_sk= c_customer_sk
and ca_address_sk = c_current_addr_sk
and ss_item_sk = i_item_sk
and ca_gmt_offset = -5
and i_category = 'Jewelry'
and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')
and s_gmt_offset = -5
and d_year = 1998
and d_moy = 11) promotional_sales cross join
(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 = -5
and i_category = 'Jewelry'
and s_gmt_offset = -5
and d_year = 1998
and d_moy = 11) all_sales
order by promotions, total
limit 100

28
src/main/resources/tpcds_2_4/q62.sql Normal file
View File

@ -0,0 +1,28 @@
--q62.sql--
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 1200 and 1200 + 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

30
src/main/resources/tpcds_2_4/q63.sql Normal file
View File

@ -0,0 +1,30 @@
--q63.sql--
select *
from (select i_manager_id
,sum(ss_sales_price) sum_sales
,avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales
from item
,store_sales
,date_dim
,store
where ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and ss_store_sk = s_store_sk
and d_month_seq in (1200,1200+1,1200+2,1200+3,1200+4,1200+5,1200+6,1200+7,
1200+8,1200+9,1200+10,1200+11)
and (( i_category in ('Books','Children','Electronics')
and i_class in ('personal','portable','reference','self-help')
and i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
'exportiunivamalg #9','scholaramalgamalg #9'))
or( i_category in ('Women','Music','Men')
and i_class in ('accessories','classical','fragrances','pants')
and i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
'importoamalg #1')))
group by i_manager_id, d_moy) tmp1
where case when avg_monthly_sales > 0 then abs (sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
order by i_manager_id
,avg_monthly_sales
,sum_sales
limit 100

60
src/main/resources/tpcds_2_4/q64.sql Normal file
View File

@ -0,0 +1,60 @@
--q64.sql--
with cs_ui as
(select cs_item_sk
,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund
from catalog_sales
,catalog_returns
where cs_item_sk = cr_item_sk
and cs_order_number = cr_order_number
group by cs_item_sk
having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)),
cross_sales as
(select i_product_name product_name, i_item_sk item_sk, s_store_name store_name, s_zip store_zip,
ad1.ca_street_number b_street_number, ad1.ca_street_name b_streen_name, ad1.ca_city b_city,
ad1.ca_zip b_zip, ad2.ca_street_number c_street_number, ad2.ca_street_name c_street_name,
ad2.ca_city c_city, ad2.ca_zip c_zip, d1.d_year as syear, d2.d_year as fsyear, d3.d_year s2year,
count(*) cnt, sum(ss_wholesale_cost) s1, sum(ss_list_price) s2, sum(ss_coupon_amt) s3
FROM store_sales, store_returns, cs_ui, date_dim d1, date_dim d2, date_dim d3,
store, customer, customer_demographics cd1, customer_demographics cd2,
promotion, household_demographics hd1, household_demographics hd2,
customer_address ad1, customer_address ad2, income_band ib1, income_band ib2, item
WHERE ss_store_sk = s_store_sk AND
ss_sold_date_sk = d1.d_date_sk AND
ss_customer_sk = c_customer_sk AND
ss_cdemo_sk= cd1.cd_demo_sk AND
ss_hdemo_sk = hd1.hd_demo_sk AND
ss_addr_sk = ad1.ca_address_sk and
ss_item_sk = i_item_sk and
ss_item_sk = sr_item_sk and
ss_ticket_number = sr_ticket_number and
ss_item_sk = cs_ui.cs_item_sk and
c_current_cdemo_sk = cd2.cd_demo_sk AND
c_current_hdemo_sk = hd2.hd_demo_sk AND
c_current_addr_sk = ad2.ca_address_sk and
c_first_sales_date_sk = d2.d_date_sk and
c_first_shipto_date_sk = d3.d_date_sk and
ss_promo_sk = p_promo_sk and
hd1.hd_income_band_sk = ib1.ib_income_band_sk and
hd2.hd_income_band_sk = ib2.ib_income_band_sk and
cd1.cd_marital_status <> cd2.cd_marital_status and
i_color in ('purple','burlywood','indian','spring','floral','medium') and
i_current_price between 64 and 64 + 10 and
i_current_price between 64 + 1 and 64 + 15
group by i_product_name, i_item_sk, s_store_name, s_zip, ad1.ca_street_number,
ad1.ca_street_name, ad1.ca_city, ad1.ca_zip, ad2.ca_street_number,
ad2.ca_street_name, ad2.ca_city, ad2.ca_zip, d1.d_year, d2.d_year, d3.d_year
)
select cs1.product_name, cs1.store_name, cs1.store_zip, cs1.b_street_number,
cs1.b_streen_name, cs1.b_city, cs1.b_zip, cs1.c_street_number, cs1.c_street_name,
cs1.c_city, cs1.c_zip, cs1.syear, cs1.cnt, cs1.s1, cs1.s2, cs1.s3, cs2.s1,
cs2.s2, cs2.s3, cs2.syear, cs2.cnt
from cross_sales cs1,cross_sales cs2
where cs1.item_sk=cs2.item_sk and
cs1.syear = 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

24
src/main/resources/tpcds_2_4/q65.sql Normal file
View File

@ -0,0 +1,24 @@
--q65.sql--
select
s_store_name, i_item_desc, sc.revenue, i_current_price, i_wholesale_cost, i_brand
from store, item,
(select ss_store_sk, avg(revenue) as ave
from
(select ss_store_sk, ss_item_sk,
sum(ss_sales_price) as revenue
from store_sales, date_dim
where ss_sold_date_sk = d_date_sk and d_month_seq between 1176 and 1176+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 1176 and 1176+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

129
src/main/resources/tpcds_2_4/q66.sql Normal file
View File

@ -0,0 +1,129 @@
--q66.sql--
select w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country,
ship_carriers, year
,sum(jan_sales) as jan_sales
,sum(feb_sales) as feb_sales
,sum(mar_sales) as mar_sales
,sum(apr_sales) as apr_sales
,sum(may_sales) as may_sales
,sum(jun_sales) as jun_sales
,sum(jul_sales) as jul_sales
,sum(aug_sales) as aug_sales
,sum(sep_sales) as sep_sales
,sum(oct_sales) as oct_sales
,sum(nov_sales) as nov_sales
,sum(dec_sales) as dec_sales
,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot
,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot
,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot
,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot
,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot
,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot
,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot
,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot
,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot
,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot
,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot
,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot
,sum(jan_net) as jan_net
,sum(feb_net) as feb_net
,sum(mar_net) as mar_net
,sum(apr_net) as apr_net
,sum(may_net) as may_net
,sum(jun_net) as jun_net
,sum(jul_net) as jul_net
,sum(aug_net) as aug_net
,sum(sep_net) as sep_net
,sum(oct_net) as oct_net
,sum(nov_net) as nov_net
,sum(dec_net) as dec_net
from (
(select
w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country
,concat('DHL', ',', 'BARIAN') as ship_carriers
,d_year as year
,sum(case when d_moy = 1 then ws_ext_sales_price * ws_quantity else 0 end) as jan_sales
,sum(case when d_moy = 2 then ws_ext_sales_price * ws_quantity else 0 end) as feb_sales
,sum(case when d_moy = 3 then ws_ext_sales_price * ws_quantity else 0 end) as mar_sales
,sum(case when d_moy = 4 then ws_ext_sales_price * ws_quantity else 0 end) as apr_sales
,sum(case when d_moy = 5 then ws_ext_sales_price * ws_quantity else 0 end) as may_sales
,sum(case when d_moy = 6 then ws_ext_sales_price * ws_quantity else 0 end) as jun_sales
,sum(case when d_moy = 7 then ws_ext_sales_price * ws_quantity else 0 end) as jul_sales
,sum(case when d_moy = 8 then ws_ext_sales_price * ws_quantity else 0 end) as aug_sales
,sum(case when d_moy = 9 then ws_ext_sales_price * ws_quantity else 0 end) as sep_sales
,sum(case when d_moy = 10 then ws_ext_sales_price * ws_quantity else 0 end) as oct_sales
,sum(case when d_moy = 11 then ws_ext_sales_price * ws_quantity else 0 end) as nov_sales
,sum(case when d_moy = 12 then ws_ext_sales_price * ws_quantity else 0 end) as dec_sales
,sum(case when d_moy = 1 then ws_net_paid * ws_quantity else 0 end) as jan_net
,sum(case when d_moy = 2 then ws_net_paid * ws_quantity else 0 end) as feb_net
,sum(case when d_moy = 3 then ws_net_paid * ws_quantity else 0 end) as mar_net
,sum(case when d_moy = 4 then ws_net_paid * ws_quantity else 0 end) as apr_net
,sum(case when d_moy = 5 then ws_net_paid * ws_quantity else 0 end) as may_net
,sum(case when d_moy = 6 then ws_net_paid * ws_quantity else 0 end) as jun_net
,sum(case when d_moy = 7 then ws_net_paid * ws_quantity else 0 end) as jul_net
,sum(case when d_moy = 8 then ws_net_paid * ws_quantity else 0 end) as aug_net
,sum(case when d_moy = 9 then ws_net_paid * ws_quantity else 0 end) as sep_net
,sum(case when d_moy = 10 then ws_net_paid * ws_quantity else 0 end) as oct_net
,sum(case when d_moy = 11 then ws_net_paid * ws_quantity else 0 end) as nov_net
,sum(case when d_moy = 12 then ws_net_paid * 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 30838 and 30838+28800
and sm_carrier in ('DHL','BARIAN')
group by
w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country, d_year)
union all
(select w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country
,concat('DHL', ',', 'BARIAN') as ship_carriers
,d_year as year
,sum(case when d_moy = 1 then cs_sales_price * cs_quantity else 0 end) as jan_sales
,sum(case when d_moy = 2 then cs_sales_price * cs_quantity else 0 end) as feb_sales
,sum(case when d_moy = 3 then cs_sales_price * cs_quantity else 0 end) as mar_sales
,sum(case when d_moy = 4 then cs_sales_price * cs_quantity else 0 end) as apr_sales
,sum(case when d_moy = 5 then cs_sales_price * cs_quantity else 0 end) as may_sales
,sum(case when d_moy = 6 then cs_sales_price * cs_quantity else 0 end) as jun_sales
,sum(case when d_moy = 7 then cs_sales_price * cs_quantity else 0 end) as jul_sales
,sum(case when d_moy = 8 then cs_sales_price * cs_quantity else 0 end) as aug_sales
,sum(case when d_moy = 9 then cs_sales_price * cs_quantity else 0 end) as sep_sales
,sum(case when d_moy = 10 then cs_sales_price * cs_quantity else 0 end) as oct_sales
,sum(case when d_moy = 11 then cs_sales_price * cs_quantity else 0 end) as nov_sales
,sum(case when d_moy = 12 then cs_sales_price * cs_quantity else 0 end) as dec_sales
,sum(case when d_moy = 1 then cs_net_paid_inc_tax * cs_quantity else 0 end) as jan_net
,sum(case when d_moy = 2 then cs_net_paid_inc_tax * cs_quantity else 0 end) as feb_net
,sum(case when d_moy = 3 then cs_net_paid_inc_tax * cs_quantity else 0 end) as mar_net
,sum(case when d_moy = 4 then cs_net_paid_inc_tax * cs_quantity else 0 end) as apr_net
,sum(case when d_moy = 5 then cs_net_paid_inc_tax * cs_quantity else 0 end) as may_net
,sum(case when d_moy = 6 then cs_net_paid_inc_tax * cs_quantity else 0 end) as jun_net
,sum(case when d_moy = 7 then cs_net_paid_inc_tax * cs_quantity else 0 end) as jul_net
,sum(case when d_moy = 8 then cs_net_paid_inc_tax * cs_quantity else 0 end) as aug_net
,sum(case when d_moy = 9 then cs_net_paid_inc_tax * cs_quantity else 0 end) as sep_net
,sum(case when d_moy = 10 then cs_net_paid_inc_tax * cs_quantity else 0 end) as oct_net
,sum(case when d_moy = 11 then cs_net_paid_inc_tax * cs_quantity else 0 end) as nov_net
,sum(case when d_moy = 12 then cs_net_paid_inc_tax * cs_quantity else 0 end) as dec_net
from
catalog_sales, warehouse, date_dim, time_dim, ship_mode
where
cs_warehouse_sk = w_warehouse_sk
and cs_sold_date_sk = d_date_sk
and cs_sold_time_sk = t_time_sk
and cs_ship_mode_sk = sm_ship_mode_sk
and d_year = 2001
and t_time between 30838 AND 30838+28800
and sm_carrier in ('DHL','BARIAN')
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

21
src/main/resources/tpcds_2_4/q67.sql Normal file
View File

@ -0,0 +1,21 @@
--q67.sql--
select * from
(select i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy, s_store_id,
sumsales, rank() over (partition by i_category order by sumsales desc) rk
from
(select i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,
s_store_id, sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales
from store_sales, date_dim, store, item
where ss_sold_date_sk=d_date_sk
and ss_item_sk=i_item_sk
and ss_store_sk = s_store_sk
and d_month_seq between 1200 and 1200+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

29
src/main/resources/tpcds_2_4/q68.sql Normal file
View File

@ -0,0 +1,29 @@
--q68.sql--
select
c_last_name, c_first_name, ca_city, bought_city, ss_ticket_number, extended_price,
extended_tax, list_price
from (select
ss_ticket_number, ss_customer_sk, ca_city bought_city,
sum(ss_ext_sales_price) extended_price,
sum(ss_ext_list_price) list_price,
sum(ss_ext_tax) extended_tax
from store_sales, date_dim, store, household_demographics, customer_address
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_store_sk = store.s_store_sk
and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
and store_sales.ss_addr_sk = customer_address.ca_address_sk
and date_dim.d_dom between 1 and 2
and (household_demographics.hd_dep_count = 4 or
household_demographics.hd_vehicle_count = 3)
and date_dim.d_year in (1999,1999+1,1999+2)
and store.s_city in ('Midway','Fairview')
group by ss_ticket_number, ss_customer_sk, ss_addr_sk,ca_city) dn,
customer,
customer_address current_addr
where ss_customer_sk = c_customer_sk
and customer.c_current_addr_sk = current_addr.ca_address_sk
and current_addr.ca_city <> bought_city
order by c_last_name, ss_ticket_number
limit 100

32
src/main/resources/tpcds_2_4/q69.sql Normal file
View File

@ -0,0 +1,32 @@
--q69.sql--
select
cd_gender, cd_marital_status, cd_education_status, count(*) cnt1,
cd_purchase_estimate, count(*) cnt2, cd_credit_rating, count(*) cnt3
from
customer c,customer_address ca,customer_demographics
where
c.c_current_addr_sk = ca.ca_address_sk and
ca_state in ('KY', 'GA', 'NM') 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 4 and 4+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 = 2001 and
d_moy between 4 and 4+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 = 2001 and
d_moy between 4 and 4+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

20
src/main/resources/tpcds_2_4/q7.sql Normal file
View File

@ -0,0 +1,20 @@
--q7.sql--
SELECT i_item_id,
avg(ss_quantity) agg1,
avg(ss_list_price) agg2,
avg(ss_coupon_amt) agg3,
avg(ss_sales_price) agg4
FROM store_sales, customer_demographics, date_dim, item, promotion
WHERE ss_sold_date_sk = d_date_sk AND
ss_item_sk = i_item_sk AND
ss_cdemo_sk = cd_demo_sk AND
ss_promo_sk = p_promo_sk AND
cd_gender = 'M' AND
cd_marital_status = 'S' AND
cd_education_status = 'College' AND
(p_channel_email = 'N' or p_channel_event = 'N') AND
d_year = 2000
GROUP BY i_item_id
ORDER BY i_item_id LIMIT 100

32
src/main/resources/tpcds_2_4/q70.sql Normal file
View File

@ -0,0 +1,32 @@
--q70.sql--
select
sum(ss_net_profit) as total_sum, s_state, s_county
,grouping(s_state)+grouping(s_county) as lochierarchy
,rank() over (
partition by grouping(s_state)+grouping(s_county),
case when grouping(s_county) = 0 then s_state end
order by sum(ss_net_profit) desc) as rank_within_parent
from
store_sales, date_dim d1, store
where
d1.d_month_seq between 1200 and 1200+11
and d1.d_date_sk = ss_sold_date_sk
and s_store_sk = ss_store_sk
and s_state in
(select s_state from
(select s_state as s_state,
rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking
from store_sales, store, date_dim
where d_month_seq between 1200 and 1200+11
and d_date_sk = ss_sold_date_sk
and s_store_sk = ss_store_sk
group by s_state) tmp1
where ranking <= 5)
group by rollup(s_state,s_county)
order by
lochierarchy desc
,case when lochierarchy = 0 then s_state end
,rank_within_parent
limit 100

43
src/main/resources/tpcds_2_4/q71.sql Normal file
View File

@ -0,0 +1,43 @@
--q71.sql--
select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
sum(ext_price) ext_price
from item,
(select
ws_ext_sales_price as ext_price,
ws_sold_date_sk as sold_date_sk,
ws_item_sk as sold_item_sk,
ws_sold_time_sk as time_sk
from web_sales, date_dim
where d_date_sk = ws_sold_date_sk
and d_moy=11
and d_year=1999
union all
select
cs_ext_sales_price as ext_price,
cs_sold_date_sk as sold_date_sk,
cs_item_sk as sold_item_sk,
cs_sold_time_sk as time_sk
from catalog_sales, date_dim
where d_date_sk = cs_sold_date_sk
and d_moy=11
and d_year=1999
union all
select
ss_ext_sales_price as ext_price,
ss_sold_date_sk as sold_date_sk,
ss_item_sk as sold_item_sk,
ss_sold_time_sk as time_sk
from store_sales,date_dim
where d_date_sk = ss_sold_date_sk
and d_moy=11
and d_year=1999
) 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

29
src/main/resources/tpcds_2_4/q72.sql Normal file
View File

@ -0,0 +1,29 @@
--q72.sql--
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 > (cast(d1.d_date AS DATE) + interval '5' day)
and hd_buy_potential = '>10000'
and d1.d_year = 1999
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, d1.d_week_seq
limit 100

23
src/main/resources/tpcds_2_4/q73.sql Normal file
View File

@ -0,0 +1,23 @@
--q73.sql--
select
c_last_name, c_first_name, c_salutation, c_preferred_cust_flag,
ss_ticket_number, cnt from
(select ss_ticket_number, ss_customer_sk, count(*) cnt
from store_sales,date_dim,store,household_demographics
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_store_sk = store.s_store_sk
and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
and date_dim.d_dom between 1 and 2
and (household_demographics.hd_buy_potential = '>10000' or
household_demographics.hd_buy_potential = 'unknown')
and household_demographics.hd_vehicle_count > 0
and case when household_demographics.hd_vehicle_count > 0 then
household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1
and date_dim.d_year in (1999,1999+1,1999+2)
and store.s_county in ('Williamson County','Franklin Parish','Bronx County','Orange 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

49
src/main/resources/tpcds_2_4/q74.sql Normal file
View File

@ -0,0 +1,49 @@
--q74.sql--
with year_total as (
select
c_customer_id customer_id, c_first_name customer_first_name,
c_last_name customer_last_name, d_year as year,
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 (2001,2001+1)
group by
c_customer_id, c_first_name, c_last_name, d_year
union all
select
c_customer_id customer_id, c_first_name customer_first_name,
c_last_name customer_last_name, d_year as year,
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 (2001,2001+1)
group by
c_customer_id, c_first_name, c_last_name, d_year)
select
t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name
from
year_total t_s_firstyear, year_total t_s_secyear,
year_total t_w_firstyear, year_total t_w_secyear
where t_s_secyear.customer_id = t_s_firstyear.customer_id
and t_s_firstyear.customer_id = t_w_secyear.customer_id
and t_s_firstyear.customer_id = t_w_firstyear.customer_id
and t_s_firstyear.sale_type = 's'
and t_w_firstyear.sale_type = 'w'
and t_s_secyear.sale_type = 's'
and t_w_secyear.sale_type = 'w'
and t_s_firstyear.year = 2001
and t_s_secyear.year = 2001+1
and t_w_firstyear.year = 2001
and t_w_secyear.year = 2001+1
and t_s_firstyear.year_total > 0
and t_w_firstyear.year_total > 0
and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
> case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
order by 1, 1, 1
limit 100

57
src/main/resources/tpcds_2_4/q75.sql Normal file
View File

@ -0,0 +1,57 @@
--q75.sql--
WITH all_sales AS (
SELECT
d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id,
SUM(sales_cnt) AS sales_cnt, SUM(sales_amt) AS sales_amt
FROM (
SELECT
d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id,
cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt,
cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt
FROM catalog_sales
JOIN item ON i_item_sk=cs_item_sk
JOIN date_dim ON d_date_sk=cs_sold_date_sk
LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number
AND cs_item_sk=cr_item_sk)
WHERE i_category='Books'
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='Books'
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='Books') sales_detail
GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id)
SELECT
prev_yr.d_year AS prev_year, curr_yr.d_year AS year, curr_yr.i_brand_id,
curr_yr.i_class_id, curr_yr.i_category_id, curr_yr.i_manufact_id,
prev_yr.sales_cnt AS prev_yr_cnt, curr_yr.sales_cnt AS curr_yr_cnt,
curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff,
curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff
FROM all_sales curr_yr, all_sales prev_yr
WHERE curr_yr.i_brand_id=prev_yr.i_brand_id
AND curr_yr.i_class_id=prev_yr.i_class_id
AND curr_yr.i_category_id=prev_yr.i_category_id
AND curr_yr.i_manufact_id=prev_yr.i_manufact_id
AND curr_yr.d_year=2002
AND prev_yr.d_year=2002-1
AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9
ORDER BY sales_cnt_diff
LIMIT 100

33
src/main/resources/tpcds_2_4/q76.sql Normal file
View File

@ -0,0 +1,33 @@
--q76.sql--
SELECT
channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt,
SUM(ext_sales_price) sales_amt
FROM(
SELECT
'store' as channel, ss_store_sk col_name, d_year, d_qoy, i_category,
ss_ext_sales_price ext_sales_price
FROM store_sales, item, date_dim
WHERE ss_store_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_customer_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_customer_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_addr_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_addr_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

71
src/main/resources/tpcds_2_4/q77.sql Normal file
View File

@ -0,0 +1,71 @@
--q77.sql--
with ss as
(select s_store_sk, sum(ss_ext_sales_price) as sales, sum(ss_net_profit) as profit
from store_sales, date_dim, store
where ss_sold_date_sk = d_date_sk
and d_date between cast('2000-08-23' as date) and
(cast('2000-08-23' as date) + interval '30' day)
and ss_store_sk = s_store_sk
group by s_store_sk),
sr as
(select s_store_sk, sum(sr_return_amt) as 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('2000-08-23' as date) and
(cast('2000-08-23' as date) + interval '30' day)
and sr_store_sk = s_store_sk
group by s_store_sk),
cs as
(select cs_call_center_sk, sum(cs_ext_sales_price) as sales, sum(cs_net_profit) as profit
from catalog_sales, date_dim
where cs_sold_date_sk = d_date_sk
and d_date between cast('2000-08-23' as date) and
(cast('2000-08-23' as date) + interval '30' day)
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('2000-08-23' as date) and
(cast('2000-08-23' as date) + interval '30' day)
group by cr_call_center_sk),
ws as
(select wp_web_page_sk, sum(ws_ext_sales_price) as sales, sum(ws_net_profit) as profit
from web_sales, date_dim, web_page
where ws_sold_date_sk = d_date_sk
and d_date between cast('2000-08-23' as date) and
(cast('2000-08-23' as date) + interval '30' day)
and ws_web_page_sk = wp_web_page_sk
group by wp_web_page_sk),
wr as
(select wp_web_page_sk, sum(wr_return_amt) as 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('2000-08-23' as date) and
(cast('2000-08-23' as date) + interval '30' day)
and wr_web_page_sk = wp_web_page_sk
group by wp_web_page_sk)
select channel, id, sum(sales) as sales, sum(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 cross join 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

58
src/main/resources/tpcds_2_4/q78.sql Normal file
View File

@ -0,0 +1,58 @@
--q78.sql--
with ws as
(select d_year AS ws_sold_year, ws_item_sk,
ws_bill_customer_sk ws_customer_sk,
sum(ws_quantity) ws_qty,
sum(ws_wholesale_cost) ws_wc,
sum(ws_sales_price) ws_sp
from web_sales
left join web_returns on wr_order_number=ws_order_number and ws_item_sk=wr_item_sk
join date_dim on ws_sold_date_sk = d_date_sk
where wr_order_number is null
group by d_year, ws_item_sk, ws_bill_customer_sk
),
cs as
(select d_year AS cs_sold_year, cs_item_sk,
cs_bill_customer_sk cs_customer_sk,
sum(cs_quantity) cs_qty,
sum(cs_wholesale_cost) cs_wc,
sum(cs_sales_price) cs_sp
from catalog_sales
left join catalog_returns on cr_order_number=cs_order_number and cs_item_sk=cr_item_sk
join date_dim on cs_sold_date_sk = d_date_sk
where cr_order_number is null
group by d_year, cs_item_sk, cs_bill_customer_sk
),
ss as
(select d_year AS ss_sold_year, ss_item_sk,
ss_customer_sk,
sum(ss_quantity) ss_qty,
sum(ss_wholesale_cost) ss_wc,
sum(ss_sales_price) ss_sp
from store_sales
left join store_returns on sr_ticket_number=ss_ticket_number and ss_item_sk=sr_item_sk
join date_dim on ss_sold_date_sk = d_date_sk
where sr_ticket_number is null
group by d_year, ss_item_sk, ss_customer_sk
)
select
ss_sold_year, ss_item_sk, ss_customer_sk,
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=2000
order by
ss_sold_year, ss_item_sk, ss_customer_sk,
ss_qty desc, ss_wc desc, ss_sp desc,
other_chan_qty,
other_chan_wholesale_cost,
other_chan_sales_price,
round(ss_qty/(coalesce(ws_qty+cs_qty,1)),2)
limit 100

24
src/main/resources/tpcds_2_4/q79.sql Normal file
View File

@ -0,0 +1,24 @@
--q79.sql--
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 = 6 or
household_demographics.hd_vehicle_count > 2)
and date_dim.d_dow = 1
and date_dim.d_year in (1999,1999+1,1999+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

84
src/main/resources/tpcds_2_4/q8.sql Normal file
View File

@ -0,0 +1,84 @@
--q8.sql--
select s_store_name, sum(ss_net_profit)
from store_sales, date_dim, store,
(SELECT ca_zip
from (
(SELECT substr(ca_zip,1,5) ca_zip FROM customer_address
WHERE substr(ca_zip,1,5) IN (
'24128','76232','65084','87816','83926','77556','20548',
'26231','43848','15126','91137','61265','98294','25782',
'17920','18426','98235','40081','84093','28577','55565',
'17183','54601','67897','22752','86284','18376','38607',
'45200','21756','29741','96765','23932','89360','29839',
'25989','28898','91068','72550','10390','18845','47770',
'82636','41367','76638','86198','81312','37126','39192',
'88424','72175','81426','53672','10445','42666','66864',
'66708','41248','48583','82276','18842','78890','49448',
'14089','38122','34425','79077','19849','43285','39861',
'66162','77610','13695','99543','83444','83041','12305',
'57665','68341','25003','57834','62878','49130','81096',
'18840','27700','23470','50412','21195','16021','76107',
'71954','68309','18119','98359','64544','10336','86379',
'27068','39736','98569','28915','24206','56529','57647',
'54917','42961','91110','63981','14922','36420','23006',
'67467','32754','30903','20260','31671','51798','72325',
'85816','68621','13955','36446','41766','68806','16725',
'15146','22744','35850','88086','51649','18270','52867',
'39972','96976','63792','11376','94898','13595','10516',
'90225','58943','39371','94945','28587','96576','57855',
'28488','26105','83933','25858','34322','44438','73171',
'30122','34102','22685','71256','78451','54364','13354',
'45375','40558','56458','28286','45266','47305','69399',
'83921','26233','11101','15371','69913','35942','15882',
'25631','24610','44165','99076','33786','70738','26653',
'14328','72305','62496','22152','10144','64147','48425',
'14663','21076','18799','30450','63089','81019','68893',
'24996','51200','51211','45692','92712','70466','79994',
'22437','25280','38935','71791','73134','56571','14060',
'19505','72425','56575','74351','68786','51650','20004',
'18383','76614','11634','18906','15765','41368','73241',
'76698','78567','97189','28545','76231','75691','22246',
'51061','90578','56691','68014','51103','94167','57047',
'14867','73520','15734','63435','25733','35474','24676',
'94627','53535','17879','15559','53268','59166','11928',
'59402','33282','45721','43933','68101','33515','36634',
'71286','19736','58058','55253','67473','41918','19515',
'36495','19430','22351','77191','91393','49156','50298',
'87501','18652','53179','18767','63193','23968','65164',
'68880','21286','72823','58470','67301','13394','31016',
'70372','67030','40604','24317','45748','39127','26065',
'77721','31029','31880','60576','24671','45549','13376',
'50016','33123','19769','22927','97789','46081','72151',
'15723','46136','51949','68100','96888','64528','14171',
'79777','28709','11489','25103','32213','78668','22245',
'15798','27156','37930','62971','21337','51622','67853',
'10567','38415','15455','58263','42029','60279','37125',
'56240','88190','50308','26859','64457','89091','82136',
'62377','36233','63837','58078','17043','30010','60099',
'28810','98025','29178','87343','73273','30469','64034',
'39516','86057','21309','90257','67875','40162','11356',
'73650','61810','72013','30431','22461','19512','13375',
'55307','30625','83849','68908','26689','96451','38193',
'46820','88885','84935','69035','83144','47537','56616',
'94983','48033','69952','25486','61547','27385','61860',
'58048','56910','16807','17871','35258','31387','35458',
'35576'))
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

70
src/main/resources/tpcds_2_4/q80.sql Normal file
View File

@ -0,0 +1,70 @@
--q80.sql--
with ssr as
(select s_store_id as store_id,
sum(ss_ext_sales_price) as sales,
sum(coalesce(sr_return_amt, 0)) as returns,
sum(ss_net_profit - coalesce(sr_net_loss, 0)) as profit
from store_sales left outer join store_returns on
(ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number),
date_dim, store, item, promotion
where ss_sold_date_sk = d_date_sk
and d_date between cast('2000-08-23' as date)
and (cast('2000-08-23' as date) + interval '30' day)
and ss_store_sk = s_store_sk
and ss_item_sk = i_item_sk
and i_current_price > 50
and ss_promo_sk = p_promo_sk
and p_channel_tv = 'N'
group by s_store_id),
csr as
(select cp_catalog_page_id as catalog_page_id,
sum(cs_ext_sales_price) as sales,
sum(coalesce(cr_return_amount, 0)) as 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('2000-08-23' as date)
and (cast('2000-08-23' as date) + interval '30' day)
and cs_catalog_page_sk = cp_catalog_page_sk
and cs_item_sk = i_item_sk
and i_current_price > 50
and cs_promo_sk = p_promo_sk
and p_channel_tv = 'N'
group by cp_catalog_page_id),
wsr as
(select web_site_id,
sum(ws_ext_sales_price) as sales,
sum(coalesce(wr_return_amt, 0)) as 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('2000-08-23' as date)
and (cast('2000-08-23' as date) + interval '30' day)
and ws_web_site_sk = web_site_sk
and ws_item_sk = i_item_sk
and i_current_price > 50
and ws_promo_sk = p_promo_sk
and p_channel_tv = 'N'
group by web_site_id)
select channel, id, sum(sales) as sales, sum(returns) as returns, sum(profit) as profit
from (select
'store channel' as channel, concat('store', store_id) as id, sales, returns, profit
from ssr
union all
select
'catalog channel' as channel, concat('catalog_page', catalog_page_id) as id,
sales, returns, profit
from csr
union all
select
'web channel' as channel, concat('web_site', web_site_id) as id, sales, returns, profit
from wsr) x
group by rollup (channel, id)
order by channel, id
limit 100

27
src/main/resources/tpcds_2_4/q81.sql Normal file
View File

@ -0,0 +1,27 @@
--q81.sql--
with customer_total_return as
(select
cr_returning_customer_sk as ctr_customer_sk, ca_state as ctr_state,
sum(cr_return_amt_inc_tax) as ctr_total_return
from catalog_returns, date_dim, customer_address
where cr_returned_date_sk = d_date_sk
and d_year = 2000
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 = 'GA'
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

15
src/main/resources/tpcds_2_4/q82.sql Normal file
View File

@ -0,0 +1,15 @@
--q82.sql--
select i_item_id, i_item_desc, i_current_price
from item, inventory, date_dim, store_sales
where i_current_price between 62 and 62+30
and inv_item_sk = i_item_sk
and d_date_sk=inv_date_sk
and d_date between cast('2000-05-25' as date) and (cast('2000-05-25' as date) + interval '60' day)
and i_manufact_id in (129, 270, 821, 423)
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

40
src/main/resources/tpcds_2_4/q83.sql Normal file
View File

@ -0,0 +1,40 @@
--q83.sql--
with sr_items as
(select i_item_id item_id, sum(sr_return_quantity) sr_item_qty
from store_returns, item, date_dim
where sr_item_sk = i_item_sk
and d_date in (select d_date from date_dim where d_week_seq in
(select d_week_seq from date_dim where d_date in (cast('2000-06-30' as date),cast('2000-09-27' as date),cast('2000-11-17' as date))))
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 (cast('2000-06-30' as date),cast('2000-09-27' as date),cast('2000-11-17' as date))))
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 (cast('2000-06-30' as date),cast('2000-09-27' as date),cast('2000-11-17' as date))))
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

21
src/main/resources/tpcds_2_4/q84.sql Normal file
View File

@ -0,0 +1,21 @@
--q84.sql--
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 = 'Edgewood'
and c_current_addr_sk = ca_address_sk
and ib_lower_bound >= 38128
and ib_upper_bound <= 38128 + 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

82
src/main/resources/tpcds_2_4/q85.sql Normal file
View File

@ -0,0 +1,82 @@
--q85.sql--
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 = 2000
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 = 'Advanced 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 = 'W'
and
cd1.cd_marital_status = cd2.cd_marital_status
and
cd1.cd_education_status = '2 yr Degree'
and
cd1.cd_education_status = cd2.cd_education_status
and
ws_sales_price between 150.00 and 200.00
)
)
and
(
(
ca_country = 'United States'
and
ca_state in ('IN', 'OH', 'NJ')
and ws_net_profit between 100 and 200
)
or
(
ca_country = 'United States'
and
ca_state in ('WI', 'CT', 'KY')
and ws_net_profit between 150 and 300
)
or
(
ca_country = 'United States'
and
ca_state in ('LA', 'IA', 'AR')
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

21
src/main/resources/tpcds_2_4/q86.sql Normal file
View File

@ -0,0 +1,21 @@
--q86.sql--
select sum(ws_net_paid) as total_sum, i_category, i_class,
grouping(i_category)+grouping(i_class) as lochierarchy,
rank() over (
partition by grouping(i_category)+grouping(i_class),
case when grouping(i_class) = 0 then i_category end
order by sum(ws_net_paid) desc) as rank_within_parent
from
web_sales, date_dim d1, item
where
d1.d_month_seq between 1200 and 1200+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

22
src/main/resources/tpcds_2_4/q87.sql Normal file
View File

@ -0,0 +1,22 @@
--q87.sql--
select count(*)
from ((select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
where store_sales.ss_sold_date_sk = date_dim.d_date_sk
and store_sales.ss_customer_sk = customer.c_customer_sk
and d_month_seq between 1200 and 1200+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 1200 and 1200+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 1200 and 1200+11)
) cool_cust

93
src/main/resources/tpcds_2_4/q88.sql Normal file
View File

@ -0,0 +1,93 @@
--q88.sql--
select *
from
(select count(*) h8_30_to_9
from store_sales, household_demographics , time_dim, store
where ss_sold_time_sk = time_dim.t_time_sk
and ss_hdemo_sk = household_demographics.hd_demo_sk
and ss_store_sk = s_store_sk
and time_dim.t_hour = 8
and time_dim.t_minute >= 30
and ((household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2))
and store.s_store_name = 'ese') s1 cross join
(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 = 4 and household_demographics.hd_vehicle_count<=4+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2))
and store.s_store_name = 'ese') s2 cross join
(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 = 4 and household_demographics.hd_vehicle_count<=4+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2))
and store.s_store_name = 'ese') s3 cross join
(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 = 4 and household_demographics.hd_vehicle_count<=4+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2))
and store.s_store_name = 'ese') s4 cross join
(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 = 4 and household_demographics.hd_vehicle_count<=4+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2))
and store.s_store_name = 'ese') s5 cross join
(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 = 4 and household_demographics.hd_vehicle_count<=4+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2))
and store.s_store_name = 'ese') s6 cross join
(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 = 4 and household_demographics.hd_vehicle_count<=4+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2))
and store.s_store_name = 'ese') s7 cross join
(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 = 4 and household_demographics.hd_vehicle_count<=4+2) or
(household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or
(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2))
and store.s_store_name = 'ese') s8

26
src/main/resources/tpcds_2_4/q89.sql Normal file
View File

@ -0,0 +1,26 @@
--q89.sql--
select *
from(
select i_category, i_class, i_brand,
s_store_name, s_company_name,
d_moy,
sum(ss_sales_price) sum_sales,
avg(sum(ss_sales_price)) over
(partition by i_category, i_brand, s_store_name, s_company_name)
avg_monthly_sales
from item, store_sales, date_dim, store
where ss_item_sk = i_item_sk and
ss_sold_date_sk = d_date_sk and
ss_store_sk = s_store_sk and
d_year in (1999) and
((i_category in ('Books','Electronics','Sports') and
i_class in ('computers','stereo','football'))
or (i_category in ('Men','Jewelry','Women') and
i_class in ('shirts','birdal','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

35
src/main/resources/tpcds_2_4/q9.sql Normal file
View File

@ -0,0 +1,35 @@
--q9.sql--
select case when (select count(*) from store_sales
where ss_quantity between 1 and 20) > 74129
then (select avg(ss_ext_discount_amt) from store_sales
where ss_quantity between 1 and 20)
else (select avg(ss_net_paid) 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) > 122840
then (select avg(ss_ext_discount_amt) from store_sales
where ss_quantity between 21 and 40)
else (select avg(ss_net_paid) 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) > 56580
then (select avg(ss_ext_discount_amt) from store_sales
where ss_quantity between 41 and 60)
else (select avg(ss_net_paid) 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) > 10097
then (select avg(ss_ext_discount_amt) from store_sales
where ss_quantity between 61 and 80)
else (select avg(ss_net_paid) 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) > 165306
then (select avg(ss_ext_discount_amt) from store_sales
where ss_quantity between 81 and 100)
else (select avg(ss_net_paid) from store_sales
where ss_quantity between 81 and 100) end bucket5
from reason
where r_reason_sk = 1

22
src/main/resources/tpcds_2_4/q90.sql Normal file
View File

@ -0,0 +1,22 @@
--q90.sql--
select cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio
from ( select count(*) amc
from web_sales, household_demographics , time_dim, web_page
where ws_sold_time_sk = time_dim.t_time_sk
and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
and ws_web_page_sk = web_page.wp_web_page_sk
and time_dim.t_hour between 8 and 8+1
and household_demographics.hd_dep_count = 6
and web_page.wp_char_count between 5000 and 5200) at cross join
( 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 19 and 19+1
and household_demographics.hd_dep_count = 6
and web_page.wp_char_count between 5000 and 5200) pt
order by am_pm_ratio
limit 100

24
src/main/resources/tpcds_2_4/q91.sql Normal file
View File

@ -0,0 +1,24 @@
--q91.sql--
select
cc_call_center_id Call_Center, cc_name Call_Center_Name, cc_manager Manager,
sum(cr_net_loss) Returns_Loss
from
call_center, catalog_returns, date_dim, customer, customer_address,
customer_demographics, household_demographics
where
cr_call_center_sk = cc_call_center_sk
and cr_returned_date_sk = d_date_sk
and cr_returning_customer_sk = c_customer_sk
and cd_demo_sk = c_current_cdemo_sk
and hd_demo_sk = c_current_hdemo_sk
and ca_address_sk = c_current_addr_sk
and d_year = 1998
and d_moy = 11
and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown')
or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree'))
and hd_buy_potential like '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

19
src/main/resources/tpcds_2_4/q92.sql Normal file
View File

@ -0,0 +1,19 @@
--q92.sql--
select sum(ws_ext_discount_amt) as `Excess Discount Amount`
from web_sales, item, date_dim
where i_manufact_id = 350
and i_item_sk = ws_item_sk
and d_date between cast ('2000-01-27' as date) and (cast('2000-01-27' as date) + interval '90' day)
and d_date_sk = ws_sold_date_sk
and ws_ext_discount_amt >
(
SELECT 1.3 * avg(ws_ext_discount_amt)
FROM web_sales, date_dim
WHERE ws_item_sk = i_item_sk
and d_date between cast ('2000-01-27' as date) and (cast('2000-01-27' as date) + interval '90' day)
and d_date_sk = ws_sold_date_sk
)
order by sum(ws_ext_discount_amt)
limit 100

16
src/main/resources/tpcds_2_4/q93.sql Normal file
View File

@ -0,0 +1,16 @@
--q93.sql--
select ss_customer_sk, sum(act_sales) sumsales
from (select
ss_item_sk, ss_ticket_number, ss_customer_sk,
case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price
else (ss_quantity*ss_sales_price) end act_sales
from store_sales
left outer join store_returns
on (sr_item_sk = ss_item_sk and sr_ticket_number = ss_ticket_number),
reason
where sr_reason_sk = r_reason_sk and r_reason_desc = 'reason 28') t
group by ss_customer_sk
order by sumsales, ss_customer_sk
limit 100

26
src/main/resources/tpcds_2_4/q94.sql Normal file
View File

@ -0,0 +1,26 @@
--q94.sql--
select
count(distinct ws_order_number) as `order count`
,sum(ws_ext_ship_cost) as `total shipping cost`
,sum(ws_net_profit) as `total net profit`
from
web_sales ws1, date_dim, customer_address, web_site
where
d_date between cast('1999-02-01' as date) and
(cast('1999-02-01' as date) + interval '60' day)
and ws1.ws_ship_date_sk = d_date_sk
and ws1.ws_ship_addr_sk = ca_address_sk
and ca_state = 'IL'
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

29
src/main/resources/tpcds_2_4/q95.sql Normal file
View File

@ -0,0 +1,29 @@
--q95.sql--
with ws_wh as
(select ws1.ws_order_number,ws1.ws_warehouse_sk wh1,ws2.ws_warehouse_sk wh2
from web_sales ws1,web_sales ws2
where ws1.ws_order_number = ws2.ws_order_number
and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
select
count(distinct ws_order_number) as `order count`
,sum(ws_ext_ship_cost) as `total shipping cost`
,sum(ws_net_profit) as `total net profit`
from
web_sales ws1, date_dim, customer_address, web_site
where
d_date between cast ('1999-02-01' as date) and
(cast('1999-02-01' as date) + interval '60' day)
and ws1.ws_ship_date_sk = d_date_sk
and ws1.ws_ship_addr_sk = ca_address_sk
and ca_state = 'IL'
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

14
src/main/resources/tpcds_2_4/q96.sql Normal file
View File

@ -0,0 +1,14 @@
--q96.sql--
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 = 20
and time_dim.t_minute >= 30
and household_demographics.hd_dep_count = 7
and store.s_store_name = 'ese'
order by count(*)
limit 100

Some files were not shown because too many files have changed in this diff Show More