Tpc-ds测试以及结果

1.1 背景介绍

TPC-DS是衡量决策支持解决方案的性能，包括事实上的行业标准，但不限于，大数据系统。

目前版本为V2。它模型的几个一般适用的方面的决策支持系统，包括查询和数据维护。

虽然TPC-DS基本的商业模式是零售产品供应商、数据库架构、数据查询、数据维护人口模型和实施规则被设计成具有广泛代表性的现代决策支持系统。

1.2 测试目的及重点

本测试旨在测试spark2.0的sql兼容性及性能测试，主要对由工具生成的99个sql进行测试。

1.3 下载

从官网http://www.tpc.org/tpc_documents_current_versions/current_specifications.asp

下载并解压至hadoop集群

Ps：因为无法从虚拟终端无法复制，多以截图为主！

1.4 编译

进入到tools目录



# make -f Makefile.suite

编译成功后会生成dsdgen和dsqgen两个文件

1.5 生成数据

Scale 以GB作为单位

1.6 生成sql

# vi hive.tpl

在最后一行加上define _END =””;



创建存储sql的文件夹

# cd ..

# mkdir sql

生成sql样例

# cd tools

# for i in {1..99}; do ./dsqgen -template ../query_templates/querry$i.tpl -directory ../query_templates/ -dialect hive -scale 1 -output ../sql; mv /home/hadoop/ly_tpc_ds/v2.3.0.pc_bak/sql/querrt_0.sql；done

1.1 建表及导入数据

create table store_sales

(

ss_sold_date_sk bigint,

ss_sold_time_sk bigint,

ss_item_sk bigint,

ss_customer_sk bigint,

ss_cdemo_sk bigint,

ss_hdemo_sk bigint,

ss_addr_sk bigint,

ss_store_sk bigint,

ss_promo_sk bigint,

ss_ticket_number bigint,

ss_quantity int,

ss_wholesale_cost decimal(7,2),

ss_list_price decimal(7,2),

ss_sales_price decimal(7,2),

ss_ext_discount_amt decimal(7,2),

ss_ext_sales_price decimal(7,2),

ss_ext_wholesale_cost decimal(7,2),

ss_ext_list_price decimal(7,2),

ss_ext_tax decimal(7,2),

ss_coupon_amt decimal(7,2),

ss_net_paid decimal(7,2),

ss_net_paid_inc_tax decimal(7,2),

ss_net_profit decimal(7,2)

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/store_sales.dat' overwrite into table store_sales;

create table customer_demographics

(

cd_demo_sk bigint,

cd_gender string,

cd_marital_status string,

cd_education_status string,

cd_purchase_estimate int,

cd_credit_rating string,

cd_dep_count int,

cd_dep_employed_count int,

cd_dep_college_count int

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/customer_demographics.dat' overwrite into table customer_demographics;

create table date_dim

(

d_date_sk bigint,

d_date_id string,

d_date string, -- YYYY-MM-DD format

d_month_seq int,

d_week_seq int,

d_quarter_seq int,

d_year int,

d_dow int,

d_moy int,

d_dom int,

d_qoy int,

d_fy_year int,

d_fy_quarter_seq int,

d_fy_week_seq int,

d_day_name string,

d_quarter_name string,

d_holiday string,

d_weekend string,

d_following_holiday string,

d_first_dom int,

d_last_dom int,

d_same_day_ly int,

d_same_day_lq int,

d_current_day string,

d_current_week string,

d_current_month string,

d_current_quarter string,

d_current_year string

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/date_dim.dat' overwrite into table date_dim;

create table item

(

i_item_sk bigint,

i_item_id string,

i_rec_start_date string,

i_rec_end_date string,

i_item_desc string,

i_current_price decimal(7,2),

i_wholesale_cost decimal(7,2),

i_brand_id int,

i_brand string,

i_class_id int,

i_class string,

i_category_id int,

i_category string,

i_manufact_id int,

i_manufact string,

i_size string,

i_formulation string,

i_color string,

i_units string,

i_container string,

i_manager_id int,

i_product_name string

)

row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE

;

load data inpath '/data_1tb/item.dat' overwrite into table item;

create table store

(

s_store_sk bigint,

s_store_id string,

s_rec_start_date string,

s_rec_end_date string,

s_closed_date_sk bigint,

s_store_name string,

s_number_employees int,

s_floor_space int,

s_hours string,

s_manager string,

s_market_id int,

s_geography_class string,

s_market_desc string,

s_market_manager string,

s_division_id int,

s_division_name string,

s_company_id int,

s_company_name string,

s_street_number string,

s_street_name string,

s_street_type string,

s_suite_number string,

s_city string,

s_county string,

s_state string,

s_zip string,

s_country string,

s_gmt_offset decimal(5,2),

s_tax_precentage decimal(5,2)

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/store.dat' overwrite into table store;

create table customer

(

c_customer_sk bigint,

c_customer_id string,

c_current_cdemo_sk bigint,

c_current_hdemo_sk bigint,

c_current_addr_sk bigint,

c_first_shipto_date_sk bigint,

c_first_sales_date_sk bigint,

c_salutation string,

c_first_name string,

c_last_name string,

c_preferred_cust_flag string,

c_birth_day int,

c_birth_month int,

c_birth_year int,

c_birth_country string,

c_login string,

c_email_address string,

c_last_review_date string

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE

;

load data inpath '/data_1tb/customer.dat' overwrite into table customer;

create table promotion

(

p_promo_sk bigint,

p_promo_id string,

p_start_date_sk bigint,

p_end_date_sk bigint,

p_item_sk bigint,

p_cost decimal(15,2),

p_response_target int,

p_promo_name string,

p_channel_dmail string,

p_channel_email string,

p_channel_catalog string,

p_channel_tv string,

p_channel_radio string,

p_channel_press string,

p_channel_event string,

p_channel_demo string,

p_channel_details string,

p_purpose string,

p_discount_active string

)

row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE

;

load data inpath '/data_1tb/promotion.dat' overwrite into table promotion;

create table household_demographics

(

hd_demo_sk bigint,

hd_income_band_sk bigint,

hd_buy_potential string,

hd_dep_count int,

hd_vehicle_count int

)

row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/household_demographics.dat' overwrite into table household_demographics;

create table customer_address

(

ca_address_sk bigint,

ca_address_id string,

ca_street_number string,

ca_street_name string,

ca_street_type string,

ca_suite_number string,

ca_city string,

ca_county string,

ca_state string,

ca_zip string,

ca_country string,

ca_gmt_offset decimal(5,2),

ca_location_type string

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/customer_address.dat' overwrite into table customer_address;

create table time_dim

(

t_time_sk bigint,

t_time_id string,

t_time int,

t_hour int,

t_minute int,

t_second int,

t_am_pm string,

t_shift string,

t_sub_shift string,

t_meal_time string

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/time_dim.dat' overwrite into table time_dim;

create table dbgen_version

(

dv_version string ,

dv_create_date string ,

dv_create_time string ,

dv_cmdline_args string

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/dbgen_version.dat' overwrite into table dbgen_version;

create table warehouse

(

w_warehouse_sk int ,

w_warehouse_id string ,

w_warehouse_name string ,

w_warehouse_sq_ft int ,

w_street_number string ,

w_street_name string ,

w_street_type string ,

w_suite_number string ,

w_city string ,

w_county string ,

w_state string ,

w_zip string ,

w_country string ,

w_gmt_offset string

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/warehouse.dat' overwrite into table warehouse;

create table ship_mode

(

sm_ship_mode_sk int ,

sm_ship_mode_id string ,

sm_type string ,

sm_code string ,

sm_carrier string ,

sm_contract string

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/ship_mode.dat' overwrite into table ship_mode;

create table reason

(

r_reason_sk int ,

r_reason_id string ,

r_reason_desc string

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/reason.dat' overwrite into table reason;

create table income_band

(

ib_income_band_sk int ,

ib_lower_bound int ,

ib_upper_bound int

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/income_band.dat' overwrite into table income_band;

create table call_center

(

cc_call_center_sk int ,

cc_call_center_id string ,

cc_rec_start_date string ,

cc_rec_end_date string ,

cc_closed_date_sk int ,

cc_open_date_sk int ,

cc_name string ,

cc_class string ,

cc_employees int ,

cc_sq_ft int ,

cc_hours string ,

cc_manager string ,

cc_mkt_id int ,

cc_mkt_class string ,

cc_mkt_desc string ,

cc_market_manager string ,

cc_division int ,

cc_division_name string ,

cc_company int ,

cc_company_name string ,

cc_street_number string ,

cc_street_name string ,

cc_street_type string ,

cc_suite_number string ,

cc_city string ,

cc_county string ,

cc_state string ,

cc_zip string ,

cc_country string ,

cc_gmt_offset decimal(5,2) ,

cc_tax_percentage decimal(5,2)

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/call_center.dat' overwrite into table call_center;

create table web_site

(

web_site_sk int ,

web_site_id string ,

web_rec_start_date string ,

web_rec_end_date string ,

web_name string ,

web_open_date_sk int ,

web_close_date_sk int ,

web_class string ,

web_manager string ,

web_mkt_id int ,

web_mkt_class string ,

web_mkt_desc string ,

web_market_manager string ,

web_company_id int ,

web_company_name string ,

web_street_number string ,

web_street_name string ,

web_street_type string ,

web_suite_number string ,

web_city string ,

web_county string ,

web_state string ,

web_zip string ,

web_country string ,

web_gmt_offset decimal(5,2) ,

web_tax_percentage decimal(5,2)

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/web_site.dat' overwrite into table web_site;

create table store_returns

(

sr_returned_date_sk int ,

sr_return_time_sk int ,

sr_item_sk int ,

sr_customer_sk int ,

sr_cdemo_sk int ,

sr_hdemo_sk int ,

sr_addr_sk int ,

sr_store_sk int ,

sr_reason_sk int ,

sr_ticket_number int ,

sr_return_quantity int ,

sr_return_amt decimal(7,2) ,

sr_return_tax decimal(7,2) ,

sr_return_amt_inc_tax decimal(7,2) ,

sr_fee decimal(7,2) ,

sr_return_ship_cost decimal(7,2) ,

sr_refunded_cash decimal(7,2) ,

sr_reversed_charge decimal(7,2) ,

sr_store_credit decimal(7,2) ,

sr_net_loss decimal(7,2)

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/store_returns.dat' overwrite into table store_returns;

create table web_page

(

wp_web_page_sk int ,

wp_web_page_id string ,

wp_rec_start_date string ,

wp_rec_end_date string ,

wp_creation_date_sk int ,

wp_access_date_sk int ,

wp_autogen_flag string ,

wp_customer_sk int ,

wp_url string ,

wp_type string ,

wp_char_count int ,

wp_link_count int ,

wp_image_count int ,

wp_max_ad_count int

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/web_page.dat' overwrite into table web_page;

create table catalog_page

(

cp_catalog_page_sk int ,

cp_catalog_page_id string ,

cp_start_date_sk int ,

cp_end_date_sk int ,

cp_department string ,

cp_catalog_number int ,

cp_catalog_page_number int ,

cp_description string ,

cp_type string

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/catalog_page.dat' overwrite into table catalog_page;

create table catalog_returns

(

cr_returned_date_sk int ,

cr_returned_time_sk int ,

cr_item_sk int ,

cr_refunded_customer_sk int ,

cr_refunded_cdemo_sk int ,

cr_refunded_hdemo_sk int ,

cr_refunded_addr_sk int ,

cr_returning_customer_sk int ,

cr_returning_cdemo_sk int ,

cr_returning_hdemo_sk int ,

cr_returning_addr_sk int ,

cr_call_center_sk int ,

cr_catalog_page_sk int ,

cr_ship_mode_sk int ,

cr_warehouse_sk int ,

cr_reason_sk int ,

cr_order_number int ,

cr_return_quantity int ,

cr_return_amount decimal(7,2) ,

cr_return_tax decimal(7,2) ,

cr_return_amt_inc_tax decimal(7,2) ,

cr_fee decimal(7,2) ,

cr_return_ship_cost decimal(7,2) ,

cr_refunded_cash decimal(7,2) ,

cr_reversed_charge decimal(7,2) ,

cr_store_credit decimal(7,2) ,

cr_net_loss decimal(7,2)

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/catalog_returns.dat' overwrite into table catalog_returns;

create table web_returns

(

wr_returned_date_sk int ,

wr_returned_time_sk int ,

wr_item_sk int ,

wr_refunded_customer_sk int ,

wr_refunded_cdemo_sk int ,

wr_refunded_hdemo_sk int ,

wr_refunded_addr_sk int ,

wr_returning_customer_sk int ,

wr_returning_cdemo_sk int ,

wr_returning_hdemo_sk int ,

wr_returning_addr_sk int ,

wr_web_page_sk int ,

wr_reason_sk int ,

wr_order_number int ,

wr_return_quantity int ,

wr_return_amt decimal(7,2) ,

wr_return_tax decimal(7,2) ,

wr_return_amt_inc_tax decimal(7,2) ,

wr_fee decimal(7,2) ,

wr_return_ship_cost decimal(7,2) ,

wr_refunded_cash decimal(7,2) ,

wr_reversed_charge decimal(7,2) ,

wr_account_credit decimal(7,2) ,

wr_net_loss decimal(7,2)

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/web_returns.dat' overwrite into table web_returns;

create table web_sales

(

ws_sold_date_sk int ,

ws_sold_time_sk int ,

ws_ship_date_sk int ,

ws_item_sk int ,

ws_bill_customer_sk int ,

ws_bill_cdemo_sk int ,

ws_bill_hdemo_sk int ,

ws_bill_addr_sk int ,

ws_ship_customer_sk int ,

ws_ship_cdemo_sk int ,

ws_ship_hdemo_sk int ,

ws_ship_addr_sk int ,

ws_web_page_sk int ,

ws_web_site_sk int ,

ws_ship_mode_sk int ,

ws_warehouse_sk int ,

ws_promo_sk int ,

ws_order_number int ,

ws_quantity int ,

ws_wholesale_cost decimal(7,2) ,

ws_list_price decimal(7,2) ,

ws_sales_price decimal(7,2) ,

ws_ext_discount_amt decimal(7,2) ,

ws_ext_sales_price decimal(7,2) ,

ws_ext_wholesale_cost decimal(7,2) ,

ws_ext_list_price decimal(7,2) ,

ws_ext_tax decimal(7,2) ,

ws_coupon_amt decimal(7,2) ,

ws_ext_ship_cost decimal(7,2) ,

ws_net_paid decimal(7,2) ,

ws_net_paid_inc_tax decimal(7,2) ,

ws_net_paid_inc_ship decimal(7,2) ,

ws_net_paid_inc_ship_tax decimal(7,2) ,

ws_net_profit decimal(7,2)

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/web_sales.dat' overwrite into table web_sales;

create table catalog_sales

(

cs_sold_date_sk int ,

cs_sold_time_sk int ,

cs_ship_date_sk int ,

cs_bill_customer_sk int ,

cs_bill_cdemo_sk int ,

cs_bill_hdemo_sk int ,

cs_bill_addr_sk int ,

cs_ship_customer_sk int ,

cs_ship_cdemo_sk int ,

cs_ship_hdemo_sk int ,

cs_ship_addr_sk int ,

cs_call_center_sk int ,

cs_catalog_page_sk int ,

cs_ship_mode_sk int ,

cs_warehouse_sk int ,

cs_item_sk int ,

cs_promo_sk int ,

cs_order_number int ,

cs_quantity int ,

cs_wholesale_cost decimal(7,2) ,

cs_list_price decimal(7,2) ,

cs_sales_price decimal(7,2) ,

cs_ext_discount_amt decimal(7,2) ,

cs_ext_sales_price decimal(7,2) ,

cs_ext_wholesale_cost decimal(7,2) ,

cs_ext_list_price decimal(7,2) ,

cs_ext_tax decimal(7,2) ,

cs_coupon_amt decimal(7,2) ,

cs_ext_ship_cost decimal(7,2) ,

cs_net_paid decimal(7,2) ,

cs_net_paid_inc_tax decimal(7,2) ,

cs_net_paid_inc_ship decimal(7,2) ,

cs_net_paid_inc_ship_tax decimal(7,2) ,

cs_net_profit decimal(7,2)

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/catalog_sales.dat' overwrite into table catalog_sales;

CREATE TABLE inventory(

inv_date_sk bigint,

inv_item_sk bigint,

inv_warehouse_sk bigint,

inv_quantity_on_hand int

)row format delimited fields terminated by '|'

NULL DEFINED AS ''

STORED AS TEXTFILE;

load data inpath '/data_1tb/inventory.dat' overwrite into table inventory;

with customer_total_return as

(select sr_customer_sk as ctr_customer_sk

,sr_store_sk as ctr_store_sk

,sum( text({"SR_RETURN_AMT",1},{"SR_FEE",1},{"SR_REFUNDED_CASH",1},{"SR_RETURN_AMT_INC_TAX",1},{"SR_REVERSED_CHARGE",1},{"SR_STORE_CREDIT",1},{"SR_RETURN_TAX",1});) as ctr_total_return

from store_returns

,date_dim

where sr_returned_date_sk = d_date_sk

and d_year =random(1998, 2002, uniform);

group by sr_customer_sk

,sr_store_sk)

[100A] select [100B] 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 = 'distmember(fips_county, random(1, rowcount("active_counties", "store"), uniform);, 3);'

and ctr1.ctr_customer_sk = c_customer_sk

order by c_customer_id

[100C];

1 测试

1.1 原sql

Q1.sql

with customer_total_return as

(select sr_customer_sk as ctr_customer_sk

,sr_store_sk as ctr_store_sk

,sum(SR_FEE) as ctr_total_return

from store_returns

,date_dim

where sr_returned_date_sk = d_date_sk

and d_year =2000

group by sr_customer_sk

,sr_store_sk)

select * from ( 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

) A limit 100;

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;

Q3.sql

select * from (select dt.d_year

,item.i_brand_id brand_id

,item.i_brand brand

,sum(ss_ext_sales_price) sum_agg

from date_dim dt

,store_sales

,item

where dt.d_date_sk = store_sales.ss_sold_date_sk

and store_sales.ss_item_sk = item.i_item_sk

and item.i_manufact_id = 436

and dt.d_moy=12

group by dt.d_year

,item.i_brand

,item.i_brand_id

order by dt.d_year

,sum_agg desc

,brand_id

) A limit 100;

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 * from ( select

t_s_secyear.customer_id

,t_s_secyear.customer_first_name

,t_s_secyear.customer_last_name

,t_s_secyear.customer_email_address

from year_total t_s_firstyear

,year_total t_s_secyear

,year_total t_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_email_address

) A limit 100;

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('1998-08-04' as date)

and (cast('1998-08-04' as date) + 14 days)

and store_sk = s_store_sk

group by s_store_id)

,

csr as

(select cp_catalog_page_id,

sum(sales_price) as sales,

sum(profit) as profit,

sum(return_amt) as returns,

sum(net_loss) as profit_loss

from

( select cs_catalog_page_sk as page_sk,

cs_sold_date_sk as date_sk,

cs_ext_sales_price as sales_price,

cs_net_profit as profit,

cast(0 as decimal(7,2)) as return_amt,

cast(0 as decimal(7,2)) as net_loss

from catalog_sales

union all

select cr_catalog_page_sk as page_sk,

cr_returned_date_sk as date_sk,

cast(0 as decimal(7,2)) as sales_price,

cast(0 as decimal(7,2)) as profit,

cr_return_amount as return_amt,

cr_net_loss as net_loss

from catalog_returns

) salesreturns,

date_dim,

catalog_page

where date_sk = d_date_sk

and d_date between cast('1998-08-04' as date)

and (cast('1998-08-04' as date) + 14 days)

and page_sk = cp_catalog_page_sk

group by cp_catalog_page_id)

,

wsr as

(select web_site_id,

sum(sales_price) as sales,

sum(profit) as profit,

sum(return_amt) as returns,

sum(net_loss) as profit_loss

from

( select ws_web_site_sk as wsr_web_site_sk,

ws_sold_date_sk as date_sk,

ws_ext_sales_price as sales_price,

ws_net_profit as profit,

cast(0 as decimal(7,2)) as return_amt,

cast(0 as decimal(7,2)) as net_loss

from web_sales

union all

select ws_web_site_sk as wsr_web_site_sk,

wr_returned_date_sk as date_sk,

cast(0 as decimal(7,2)) as sales_price,

cast(0 as decimal(7,2)) as profit,

wr_return_amt as return_amt,

wr_net_loss as net_loss

from web_returns left outer join web_sales on

( wr_item_sk = ws_item_sk

and wr_order_number = ws_order_number)

) salesreturns,

date_dim,

web_site

where date_sk = d_date_sk

and d_date between cast('1998-08-04' as date)

and (cast('1998-08-04' as date) + 14 days)

and wsr_web_site_sk = web_site_sk

group by web_site_id)

select * from ( select channel

, id

, sum(sales) as sales

, sum(returns) as returns

, sum(profit) as profit

from

(select 'store channel' as channel

, 'store' || s_store_id as id

, sales

, returns

, (profit - profit_loss) as profit

from ssr

union all

select 'catalog channel' as channel

, 'catalog_page' || cp_catalog_page_id as id

, sales

, returns

, (profit - profit_loss) as profit

from csr

union all

select 'web channel' as channel

, 'web_site' || web_site_id as id

, sales

, returns

, (profit - profit_loss) as profit

from wsr

) x

group by rollup (channel, id)

order by channel

,id

) A limit 100;

Q6.sql

select * 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 = 2000

and d_moy = 2 )

and i.i_current_price > 1.2 *

(select avg(j.i_current_price)

from item j

where j.i_category = i.i_category)

group by a.ca_state

having count(*) >= 10

order by cnt

) A limit 100;

Q7.sql

select * from (select i_item_id,

avg(ss_quantity) agg1,

avg(ss_list_price) agg2,

avg(ss_coupon_amt) agg3,

avg(ss_sales_price) agg4

from store_sales, customer_demographics, date_dim, item, promotion

where ss_sold_date_sk = d_date_sk and

ss_item_sk = i_item_sk and

ss_cdemo_sk = cd_demo_sk and

ss_promo_sk = p_promo_sk and

cd_gender = 'F' and

cd_marital_status = 'W' and

cd_education_status = 'Primary' and

(p_channel_email = 'N' or p_channel_event = 'N') and

d_year = 1998

group by i_item_id

order by i_item_id

) A limit 100;

Q8.sql

select * from (select s_store_name

,sum(ss_net_profit)

from store_sales

,date_dim

,store,

(select ca_zip

from (

SELECT substr(ca_zip,1,5) ca_zip

FROM customer_address

WHERE substr(ca_zip,1,5) IN (

'89436','30868','65085','22977','83927','77557',

'58429','40697','80614','10502','32779',

'91137','61265','98294','17921','18427',

'21203','59362','87291','84093','21505',

'17184','10866','67898','25797','28055',

'18377','80332','74535','21757','29742',

'90885','29898','17819','40811','25990',

'47513','89531','91068','10391','18846',

'99223','82637','41368','83658','86199',

'81625','26696','89338','88425','32200',

'81427','19053','77471','36610','99823',

'43276','41249','48584','83550','82276',

'18842','78890','14090','38123','40936',

'34425','19850','43286','80072','79188',

'54191','11395','50497','84861','90733',

'21068','57666','37119','25004','57835',

'70067','62878','95806','19303','18840',

'19124','29785','16737','16022','49613',

'89977','68310','60069','98360','48649',

'39050','41793','25002','27413','39736',

'47208','16515','94808','57648','15009',

'80015','42961','63982','21744','71853',

'81087','67468','34175','64008','20261',

'11201','51799','48043','45645','61163',

'48375','36447','57042','21218','41100',

'89951','22745','35851','83326','61125',

'78298','80752','49858','52940','96976',

'63792','11376','53582','18717','90226',

'50530','94203','99447','27670','96577',

'57856','56372','16165','23427','54561',

'28806','44439','22926','30123','61451',

'92397','56979','92309','70873','13355',

'21801','46346','37562','56458','28286',

'47306','99555','69399','26234','47546',

'49661','88601','35943','39936','25632',

'24611','44166','56648','30379','59785',

'11110','14329','93815','52226','71381',

'13842','25612','63294','14664','21077',

'82626','18799','60915','81020','56447',

'76619','11433','13414','42548','92713',

'70467','30884','47484','16072','38936',

'13036','88376','45539','35901','19506',

'65690','73957','71850','49231','14276',

'20005','18384','76615','11635','38177',

'55607','41369','95447','58581','58149',

'91946','33790','76232','75692','95464',

'22246','51061','56692','53121','77209',

'15482','10688','14868','45907','73520',

'72666','25734','17959','24677','66446',

'94627','53535','15560','41967','69297',

'11929','59403','33283','52232','57350',

'43933','40921','36635','10827','71286',

'19736','80619','25251','95042','15526',

'36496','55854','49124','81980','35375',

'49157','63512','28944','14946','36503',

'54010','18767','23969','43905','66979',

'33113','21286','58471','59080','13395',

'79144','70373','67031','38360','26705',

'50906','52406','26066','73146','15884',

'31897','30045','61068','45550','92454',

'13376','14354','19770','22928','97790',

'50723','46081','30202','14410','20223',

'88500','67298','13261','14172','81410',

'93578','83583','46047','94167','82564',

'21156','15799','86709','37931','74703',

'83103','23054','70470','72008','49247',

'91911','69998','20961','70070','63197',

'54853','88191','91830','49521','19454',

'81450','89091','62378','25683','61869',

'51744','36580','85778','36871','48121',

'28810','83712','45486','67393','26935',

'42393','20132','55349','86057','21309',

'80218','10094','11357','48819','39734',

'40758','30432','21204','29467','30214',

'61024','55307','74621','11622','68908',

'33032','52868','99194','99900','84936',

'69036','99149','45013','32895','59004',

'32322','14933','32936','33562','72550',

'27385','58049','58200','16808','21360',

'32961','18586','79307','15492')

intersect

select ca_zip

from (SELECT substr(ca_zip,1,5) ca_zip,count(*) cnt

FROM customer_address, customer

WHERE ca_address_sk = c_current_addr_sk and

c_preferred_cust_flag='Y'

group by ca_zip

having count(*) > 10)A1)A2) V1

where ss_store_sk = s_store_sk

and ss_sold_date_sk = d_date_sk

and d_qoy = 1 and d_year = 2002

and (substr(s_zip,1,2) = substr(V1.ca_zip,1,2))

group by s_store_name

order by s_store_name

) A limit 100;

Q9.sql

select case when (select count(*)

from store_sales

where ss_quantity between 1 and 20) > 25437

then (select avg(ss_ext_discount_amt)

from store_sales

where ss_quantity between 1 and 20)

else (select avg(ss_net_profit)

from store_sales

where ss_quantity between 1 and 20) end bucket1 ,

case when (select count(*)

from store_sales

where ss_quantity between 21 and 40) > 22746

then (select avg(ss_ext_discount_amt)

from store_sales

where ss_quantity between 21 and 40)

else (select avg(ss_net_profit)

from store_sales

where ss_quantity between 21 and 40) end bucket2,

case when (select count(*)

from store_sales

where ss_quantity between 41 and 60) > 9387

then (select avg(ss_ext_discount_amt)

from store_sales

where ss_quantity between 41 and 60)

else (select avg(ss_net_profit)

from store_sales

where ss_quantity between 41 and 60) end bucket3,

case when (select count(*)

from store_sales

where ss_quantity between 61 and 80) > 10098

then (select avg(ss_ext_discount_amt)

from store_sales

where ss_quantity between 61 and 80)

else (select avg(ss_net_profit)

from store_sales

where ss_quantity between 61 and 80) end bucket4,

case when (select count(*)

from store_sales

where ss_quantity between 81 and 100) > 18213

then (select avg(ss_ext_discount_amt)

from store_sales

where ss_quantity between 81 and 100)

else (select avg(ss_net_profit)

from store_sales

where ss_quantity between 81 and 100) end bucket5

from reason

where r_reason_sk = 1

;

Q10.sql

select * from (select

cd_gender,

cd_marital_status,

cd_education_status,

count(*) cnt1,

cd_purchase_estimate,

count(*) cnt2,

cd_credit_rating,

count(*) cnt3,

cd_dep_count,

count(*) cnt4,

cd_dep_employed_count,

count(*) cnt5,

cd_dep_college_count,

count(*) cnt6

from

customer c,customer_address ca,customer_demographics

where

c.c_current_addr_sk = ca.ca_address_sk and

ca_county in ('Walker County','Richland County','Gaines County','Douglas County','Dona Ana County') and

cd_demo_sk = c.c_current_cdemo_sk and

exists (select *

from store_sales,date_dim

where c.c_customer_sk = ss_customer_sk and

ss_sold_date_sk = d_date_sk and

d_year = 2002 and

d_moy between 4 and 4+3) and

(exists (select *

from web_sales,date_dim

where c.c_customer_sk = ws_bill_customer_sk and

ws_sold_date_sk = d_date_sk and

d_year = 2002 and

d_moy between 4 ANd 4+3) or

exists (select *

from catalog_sales,date_dim

where c.c_customer_sk = cs_ship_customer_sk and

cs_sold_date_sk = d_date_sk and

d_year = 2002 and

d_moy between 4 and 4+3))

group by cd_gender,

cd_marital_status,

cd_education_status,

cd_purchase_estimate,

cd_credit_rating,

cd_dep_count,

cd_dep_employed_count,

cd_dep_college_count

order by cd_gender,

cd_marital_status,

cd_education_status,

cd_purchase_estimate,

cd_credit_rating,

cd_dep_count,

cd_dep_employed_count,

cd_dep_college_count

) A limit 100;

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 * from ( select

t_s_secyear.customer_id

,t_s_secyear.customer_first_name

,t_s_secyear.customer_last_name

,t_s_secyear.customer_email_address

from year_total t_s_firstyear

,year_total t_s_secyear

,year_total t_w_firstyear

,year_total t_w_secyear

where t_s_secyear.customer_id = t_s_firstyear.customer_id

and t_s_firstyear.customer_id = t_w_secyear.customer_id

and t_s_firstyear.customer_id = t_w_firstyear.customer_id

and t_s_firstyear.sale_type = 's'

and t_w_firstyear.sale_type = 'w'

and t_s_secyear.sale_type = 's'

and t_w_secyear.sale_type = 'w'

and t_s_firstyear.dyear = 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_email_address

) A limit 100;

Q12.sql

select * from (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 ('Jewelry', 'Sports', 'Books')

and ws_sold_date_sk = d_date_sk

and d_date between cast('2001-01-12' as date)

and (cast('2001-01-12' as date) + 30 days)

group by

i_item_id

,i_item_desc

,i_category

,i_class

,i_current_price

order by

i_category

,i_class

,i_item_id

,i_item_desc

,revenueratio

) A limit 100;

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 = 'D'

and cd_education_status = '2 yr Degree'

and ss_sales_price between 100.00 and 150.00

and hd_dep_count = 3

)or

(ss_hdemo_sk=hd_demo_sk

and cd_demo_sk = ss_cdemo_sk

and cd_marital_status = 'S'

and cd_education_status = 'Secondary'

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 = 'Advanced Degree'

and ss_sales_price between 150.00 and 200.00

and hd_dep_count = 1

))

and((ss_addr_sk = ca_address_sk

and ca_country = 'United States'

and ca_state in ('CO', 'IL', 'MN')

and ss_net_profit between 100 and 200

) or

(ss_addr_sk = ca_address_sk

and ca_country = 'United States'

and ca_state in ('OH', 'MT', 'NM')

and ss_net_profit between 150 and 300

) or

(ss_addr_sk = ca_address_sk

and ca_country = 'United States'

and ca_state in ('TX', 'MO', 'MI')

and ss_net_profit between 50 and 250

))

;

Q14.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 1998 AND 1998 + 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 1998 AND 1998 + 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 1998 AND 1998 + 2)

where i_brand_id = brand_id

and i_class_id = class_id

and i_category_id = category_id

),

avg_sales as

(select avg(quantity*list_price) average_sales

from (select ss_quantity quantity

,ss_list_price list_price

from store_sales

,date_dim

where ss_sold_date_sk = d_date_sk

and d_year between 1998 and 1998 + 2

union all

select cs_quantity quantity

,cs_list_price list_price

from catalog_sales

,date_dim

where cs_sold_date_sk = d_date_sk

and d_year between 1998 and 1998 + 2

union all

select ws_quantity quantity

,ws_list_price list_price

from web_sales

,date_dim

where ws_sold_date_sk = d_date_sk

and d_year between 1998 and 1998 + 2) x)

select * from ( select channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales)

from(

select 'store' channel, i_brand_id,i_class_id

,i_category_id,sum(ss_quantity*ss_list_price) sales

, count(*) number_sales

from store_sales

,item

,date_dim

where ss_item_sk in (select ss_item_sk from cross_items)

and ss_item_sk = i_item_sk

and ss_sold_date_sk = d_date_sk

and d_year = 1998+2

Q15.sql

select * from (select ca_zip

,sum(cs_sales_price)

from catalog_sales

,customer

,customer_address

,date_dim

where cs_bill_customer_sk = c_customer_sk

and c_current_addr_sk = ca_address_sk

and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',

'85392', '85460', '80348', '81792')

or ca_state in ('CA','WA','GA')

or cs_sales_price > 500)

and cs_sold_date_sk = d_date_sk

and d_qoy = 2 and d_year = 2000

group by ca_zip

order by ca_zip

) A limit 100;

Q16.sql

select * from (select

count(distinct cs_order_number) as "order count"

,sum(cs_ext_ship_cost) as "total shipping cost"

,sum(cs_net_profit) as "total net profit"

from

catalog_sales cs1

,date_dim

,customer_address

,call_center

where

d_date between '1999-2-01' and

(cast('1999-2-01' as date) + 60 days)

and cs1.cs_ship_date_sk = d_date_sk

and cs1.cs_ship_addr_sk = ca_address_sk

and ca_state = 'IL'

and cs1.cs_call_center_sk = cc_call_center_sk

and cc_county in ('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)

) A limit 100;

Q17.sql

select * from (select i_item_id

,i_item_desc

,s_state

,count(ss_quantity) as store_sales_quantitycount

,avg(ss_quantity) as store_sales_quantityave

,stddev_samp(ss_quantity) as store_sales_quantitystdev

,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov

,count(sr_return_quantity) as store_returns_quantitycount

,avg(sr_return_quantity) as store_returns_quantityave

,stddev_samp(sr_return_quantity) as store_returns_quantitystdev

,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov

,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave

,stddev_samp(cs_quantity) as catalog_sales_quantitystdev

,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov

from store_sales

,store_returns

,catalog_sales

,date_dim d1

,date_dim d2

,date_dim d3

,store

,item

where d1.d_quarter_name = '1998Q1'

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 ('1998Q1','1998Q2','1998Q3')

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 ('1998Q1','1998Q2','1998Q3')

group by i_item_id

,i_item_desc

,s_state

order by i_item_id

,i_item_desc

,s_state

) A limit 100;

Q18.sql

select * from (select i_item_id,

ca_country,

ca_state,

ca_county,

avg( cast(cs_quantity as decimal(12,2))) agg1,

avg( cast(cs_list_price as decimal(12,2))) agg2,

avg( cast(cs_coupon_amt as decimal(12,2))) agg3,

avg( cast(cs_sales_price as decimal(12,2))) agg4,

avg( cast(cs_net_profit as decimal(12,2))) agg5,

avg( cast(c_birth_year as decimal(12,2))) agg6,

avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7

from catalog_sales, customer_demographics cd1,

customer_demographics cd2, customer, customer_address, date_dim, item

where cs_sold_date_sk = d_date_sk and

cs_item_sk = i_item_sk and

cs_bill_cdemo_sk = cd1.cd_demo_sk and

cs_bill_customer_sk = c_customer_sk and

cd1.cd_gender = 'M' and

cd1.cd_education_status = 'College' and

c_current_cdemo_sk = cd2.cd_demo_sk and

c_current_addr_sk = ca_address_sk and

c_birth_month in (9,5,12,4,1,10) and

d_year = 2001 and

ca_state in ('ND','WI','AL'

,'NC','OK','MS','TN')

group by rollup (i_item_id, ca_country, ca_state, ca_county)

order by ca_country,

ca_state,

ca_county,

i_item_id

) A limit 100;

Q19.sql

select * from (select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,

sum(ss_ext_sales_price) ext_price

from date_dim, store_sales, item,customer,customer_address,store

where d_date_sk = ss_sold_date_sk

and ss_item_sk = i_item_sk

and i_manager_id=7

and d_moy=11

and d_year=1999

and ss_customer_sk = c_customer_sk

and c_current_addr_sk = ca_address_sk

and substr(ca_zip,1,5) <> substr(s_zip,1,5)

and ss_store_sk = s_store_sk

group by i_brand

,i_brand_id

,i_manufact_id

,i_manufact

order by ext_price desc

,i_brand

,i_brand_id

,i_manufact_id

,i_manufact

) A limit 100 ;

Q20.sql

select * from (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 ('Jewelry', 'Sports', 'Books')

and cs_sold_date_sk = d_date_sk

and d_date between cast('2001-01-12' as date)

and (cast('2001-01-12' as date) + 30 days)

group by i_item_id

,i_item_desc

,i_category

,i_class

,i_current_price

order by i_category

,i_class

,i_item_id

,i_item_desc

,revenueratio

) A limit 100;

Q21.sql

select * from (select *

from(select w_warehouse_name

,i_item_id

,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date))

then inv_quantity_on_hand

else 0 end) as inv_before

,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date))

then inv_quantity_on_hand

else 0 end) as inv_after

from inventory

,warehouse

,item

,date_dim

where i_current_price between 0.99 and 1.49

and i_item_sk = inv_item_sk

and inv_warehouse_sk = w_warehouse_sk

and inv_date_sk = d_date_sk

and d_date between (cast ('1998-04-08' as date) - 30 days)

and (cast ('1998-04-08' as date) + 30 days)

group by w_warehouse_name, i_item_id) x

where (case when inv_before > 0

then inv_after / inv_before

else null

end) between 2.0/3.0 and 3.0/2.0

order by w_warehouse_name

,i_item_id

) A limit 100;

Q22.sql

select * from (select i_product_name

,i_brand

,i_class

,i_category

,avg(inv_quantity_on_hand) qoh

from inventory

,date_dim

,item

where inv_date_sk=d_date_sk

and inv_item_sk=i_item_sk

and d_month_seq between 1212 and 1212 + 11

group by rollup(i_product_name

,i_brand

,i_class

,i_category)

order by qoh, i_product_name, i_brand, i_class, i_category

) A limit 100;

Q23.sql

with frequent_ss_items as

(select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt

from store_sales

,date_dim

,item

where ss_sold_date_sk = d_date_sk

and ss_item_sk = i_item_sk

and d_year in (1999,1999+1,1999+2,1999+3)

group by substr(i_item_desc,1,30),i_item_sk,d_date

having count(*) >4),

max_store_sales as

(select max(csales) tpc_cmax

from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales

from store_sales

,customer

,date_dim

where ss_customer_sk = c_customer_sk

and ss_sold_date_sk = d_date_sk

and d_year in (1999,1999+1,1999+2,1999+3)

group by c_customer_sk)),

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 * from ( select sum(sales)

from (select cs_quantity*cs_list_price sales

from catalog_sales

,date_dim

where d_year = 1999

and d_moy = 1

and cs_sold_date_sk = d_date_sk

and cs_item_sk in (select item_sk from frequent_ss_items)

and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)

union all

select ws_quantity*ws_list_price sales

from web_sales

,date_dim

where d_year = 1999

and d_moy = 1

and ws_sold_date_sk = d_date_sk

and ws_item_sk in (select item_sk from frequent_ss_items)

and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer))

) A limit 100;

with frequent_ss_items as

(select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt

from store_sales

,date_dim

,item

where ss_sold_date_sk = d_date_sk

and ss_item_sk = i_item_sk

and d_year in (1999,1999 + 1,1999 + 2,1999 + 3)

group by substr(i_item_desc,1,30),i_item_sk,d_date

having count(*) >4),

max_store_sales as

(select max(csales) tpc_cmax

from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales

from store_sales

,customer

,date_dim

where ss_customer_sk = c_customer_sk

and ss_sold_date_sk = d_date_sk

and d_year in (1999,1999+1,1999+2,1999+3)

group by c_customer_sk)),

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 * from ( select c_last_name,c_first_name,sales

from (select c_last_name,c_first_name,sum(cs_quantity*cs_list_price) sales

from catalog_sales

,customer

,date_dim

where d_year = 1999

and d_moy = 1

and cs_sold_date_sk = d_date_sk

and cs_item_sk in (select item_sk from frequent_ss_items)

and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)

and cs_bill_customer_sk = c_customer_sk

group by c_last_name,c_first_name

union all

select c_last_name,c_first_name,sum(ws_quantity*ws_list_price) sales

from web_sales

,customer

,date_dim

where d_year = 1999

and d_moy = 1

and ws_sold_date_sk = d_date_sk

and ws_item_sk in (select item_sk from frequent_ss_items)

and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)

and ws_bill_customer_sk = c_customer_sk

group by c_last_name,c_first_name)

order by c_last_name,c_first_name,sales

) A limit 100;

Q24.sql

with ssales as

(select c_last_name

,c_first_name

,s_store_name

,ca_state

,s_state

,i_color

,i_current_price

,i_manager_id

,i_units

,i_size

,sum(ss_sales_price) netpaid

from store_sales

,store_returns

,store

,item

,customer

,customer_address

where ss_ticket_number = sr_ticket_number

and ss_item_sk = sr_item_sk

and ss_customer_sk = c_customer_sk

and ss_item_sk = i_item_sk

and ss_store_sk = s_store_sk

and c_birth_country = upper(ca_country)

and s_zip = ca_zip

and s_market_id=7

group by c_last_name

,c_first_name

,s_store_name

,ca_state

,s_state

,i_color

,i_current_price

,i_manager_id

,i_units

,i_size)

select c_last_name

,c_first_name

,s_store_name

,sum(netpaid) paid

from ssales

where i_color = 'orchid'

group by c_last_name

,c_first_name

,s_store_name

having sum(netpaid) > (select 0.05*avg(netpaid)

from ssales)

;

with ssales as

(select c_last_name

,c_first_name

,s_store_name

,ca_state

,s_state

,i_color

,i_current_price

,i_manager_id

,i_units

,i_size

,sum(ss_sales_price) netpaid

from store_sales

,store_returns

,store

,item

,customer

,customer_address

where ss_ticket_number = sr_ticket_number

and ss_item_sk = sr_item_sk

and ss_customer_sk = c_customer_sk

and ss_item_sk = i_item_sk

and ss_store_sk = s_store_sk

and c_birth_country = upper(ca_country)

and s_zip = ca_zip

and s_market_id = 7

group by c_last_name

,c_first_name

,s_store_name

,ca_state

,s_state

,i_color

,i_current_price

,i_manager_id

,i_units

,i_size)

select c_last_name

,c_first_name

,s_store_name

,sum(netpaid) paid

from ssales

where i_color = 'chiffon'

group by c_last_name

,c_first_name

,s_store_name

having sum(netpaid) > (select 0.05*avg(netpaid)

from ssales)

;

Q25.sql

select * from (select

i_item_id

,i_item_desc

,s_store_id

,s_store_name

,sum(ss_net_profit) as store_sales_profit

,sum(sr_net_loss) as store_returns_loss

,sum(cs_net_profit) as catalog_sales_profit

from

store_sales

,store_returns

,catalog_sales

,date_dim d1

,date_dim d2

,date_dim d3

,store

,item

where

d1.d_moy = 4

and d1.d_year = 2000

and d1.d_date_sk = ss_sold_date_sk

and i_item_sk = ss_item_sk

and s_store_sk = ss_store_sk

and ss_customer_sk = sr_customer_sk

and ss_item_sk = sr_item_sk

and ss_ticket_number = sr_ticket_number

and sr_returned_date_sk = d2.d_date_sk

and d2.d_moy between 4 and 10

and d2.d_year = 2000

and sr_customer_sk = cs_bill_customer_sk

and sr_item_sk = cs_item_sk

and cs_sold_date_sk = d3.d_date_sk

and d3.d_moy between 4 and 10

and d3.d_year = 2000

group by

i_item_id

,i_item_desc

,s_store_id

,s_store_name

order by

i_item_id

,i_item_desc

,s_store_id

,s_store_name

) A limit 100;

Q26.sql

select * from (select i_item_id,

avg(cs_quantity) agg1,

avg(cs_list_price) agg2,

avg(cs_coupon_amt) agg3,

avg(cs_sales_price) agg4

from catalog_sales, customer_demographics, date_dim, item, promotion

where cs_sold_date_sk = d_date_sk and

cs_item_sk = i_item_sk and

cs_bill_cdemo_sk = cd_demo_sk and

cs_promo_sk = p_promo_sk and

cd_gender = 'F' and

cd_marital_status = 'W' and

cd_education_status = 'Primary' and

(p_channel_email = 'N' or p_channel_event = 'N') and

d_year = 1998

group by i_item_id

order by i_item_id

) A limit 100;

Q27.sql

select * from (select i_item_id,

s_state, grouping(s_state) g_state,

avg(ss_quantity) agg1,

avg(ss_list_price) agg2,

avg(ss_coupon_amt) agg3,

avg(ss_sales_price) agg4

from store_sales, customer_demographics, date_dim, store, item

where ss_sold_date_sk = d_date_sk and

ss_item_sk = i_item_sk and

ss_store_sk = s_store_sk and

ss_cdemo_sk = cd_demo_sk and

cd_gender = 'F' and

cd_marital_status = 'W' and

cd_education_status = 'Primary' and

d_year = 1998 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

) A limit 100;

Q28.sql

select * from (select *

from (select avg(ss_list_price) B1_LP

,count(ss_list_price) B1_CNT

,count(distinct ss_list_price) B1_CNTD

from store_sales

where ss_quantity between 0 and 5

and (ss_list_price between 11 and 11+10

or ss_coupon_amt between 460 and 460+1000

or ss_wholesale_cost between 14 and 14+20)) B1,

(select avg(ss_list_price) B2_LP

,count(ss_list_price) B2_CNT

,count(distinct ss_list_price) B2_CNTD

from store_sales

where ss_quantity between 6 and 10

and (ss_list_price between 91 and 91+10

or ss_coupon_amt between 1430 and 1430+1000

or ss_wholesale_cost between 32 and 32+20)) B2,

(select avg(ss_list_price) B3_LP

,count(ss_list_price) B3_CNT

,count(distinct ss_list_price) B3_CNTD

from store_sales

where ss_quantity between 11 and 15

and (ss_list_price between 66 and 66+10

or ss_coupon_amt between 920 and 920+1000

or ss_wholesale_cost between 4 and 4+20)) B3,

(select avg(ss_list_price) B4_LP

,count(ss_list_price) B4_CNT

,count(distinct ss_list_price) B4_CNTD

from store_sales

where ss_quantity between 16 and 20

and (ss_list_price between 142 and 142+10

or ss_coupon_amt between 3054 and 3054+1000

or ss_wholesale_cost between 80 and 80+20)) B4,

(select avg(ss_list_price) B5_LP

,count(ss_list_price) B5_CNT

,count(distinct ss_list_price) B5_CNTD

from store_sales

where ss_quantity between 21 and 25

and (ss_list_price between 135 and 135+10

or ss_coupon_amt between 14180 and 14180+1000

or ss_wholesale_cost between 38 and 38+20)) B5,

(select avg(ss_list_price) B6_LP

,count(ss_list_price) B6_CNT

,count(distinct ss_list_price) B6_CNTD

from store_sales

where ss_quantity between 26 and 30

and (ss_list_price between 28 and 28+10

or ss_coupon_amt between 2513 and 2513+1000

or ss_wholesale_cost between 42 and 42+20)) B6

) A limit 100;

Q29.sql

select * from (select

i_item_id

,i_item_desc

,s_store_id

,s_store_name

,sum(ss_quantity) as store_sales_quantity

,sum(sr_return_quantity) as store_returns_quantity

,sum(cs_quantity) as catalog_sales_quantity

from

store_sales

,store_returns

,catalog_sales

,date_dim d1

,date_dim d2

,date_dim d3

,store

,item

where

d1.d_moy = 4

and d1.d_year = 1999

and d1.d_date_sk = ss_sold_date_sk

and i_item_sk = ss_item_sk

and s_store_sk = ss_store_sk

and ss_customer_sk = sr_customer_sk

and ss_item_sk = sr_item_sk

and ss_ticket_number = sr_ticket_number

and sr_returned_date_sk = d2.d_date_sk

and d2.d_moy between 4 and 4 + 3

and d2.d_year = 1999

and sr_customer_sk = cs_bill_customer_sk

and sr_item_sk = cs_item_sk

and cs_sold_date_sk = d3.d_date_sk

and d3.d_year in (1999,1999+1,1999+2)

group by

i_item_id

,i_item_desc

,s_store_id

,s_store_name

order by

i_item_id

,i_item_desc

,s_store_id

,s_store_name

) A limit 100;

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 * from ( select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag

,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address

,c_last_review_date,ctr_total_return

from customer_total_return ctr1

,customer_address

,customer

where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2

from customer_total_return ctr2

where ctr1.ctr_state = ctr2.ctr_state)

and ca_address_sk = c_current_addr_sk

and ca_state = 'IL'

and ctr1.ctr_customer_sk = c_customer_sk

order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag

,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address

,c_last_review_date,ctr_total_return

) A limit 100;

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.d_year;

Q32.sql

select * from (select sum(cs_ext_discount_amt) as "excess discount amount"

from

catalog_sales

,item

,date_dim

where

i_manufact_id = 269

and i_item_sk = cs_item_sk

and d_date between '1998-03-18' and

(cast('1998-03-18' as date) + 90 days)

and d_date_sk = cs_sold_date_sk

and cs_ext_discount_amt

> (

select

1.3 * avg(cs_ext_discount_amt)

from

catalog_sales

,date_dim

where

cs_item_sk = i_item_sk

and d_date between '1998-03-18' and

(cast('1998-03-18' as date) + 90 days)

and d_date_sk = cs_sold_date_sk

)

) A limit 100;

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 ('Books'))

and ss_item_sk = i_item_sk

and ss_sold_date_sk = d_date_sk

and d_year = 1999

and d_moy = 3

and ss_addr_sk = ca_address_sk

and ca_gmt_offset = -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 ('Books'))

and cs_item_sk = i_item_sk

and cs_sold_date_sk = d_date_sk

and d_year = 1999

and d_moy = 3

and cs_bill_addr_sk = ca_address_sk

and ca_gmt_offset = -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 ('Books'))

and ws_item_sk = i_item_sk

and ws_sold_date_sk = d_date_sk

and d_year = 1999

and d_moy = 3

and ws_bill_addr_sk = ca_address_sk

and ca_gmt_offset = -5

group by i_manufact_id)

select * from ( 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

) A limit 100;

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 (1998,1998+1,1998+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;

Q35.sql

select * from (select

ca_state,

cd_gender,

cd_marital_status,

cd_dep_count,

count(*) cnt1,

avg(cd_dep_count),

max(cd_dep_count),

sum(cd_dep_count),

cd_dep_employed_count,

count(*) cnt2,

avg(cd_dep_employed_count),

max(cd_dep_employed_count),

sum(cd_dep_employed_count),

cd_dep_college_count,

count(*) cnt3,

avg(cd_dep_college_count),

max(cd_dep_college_count),

sum(cd_dep_college_count)

from

customer c,customer_address ca,customer_demographics

where

c.c_current_addr_sk = ca.ca_address_sk and

cd_demo_sk = c.c_current_cdemo_sk and

exists (select *

from store_sales,date_dim

where c.c_customer_sk = ss_customer_sk and

ss_sold_date_sk = d_date_sk and

d_year = 1999 and

d_qoy < 4) and

(exists (select *

from web_sales,date_dim

where c.c_customer_sk = ws_bill_customer_sk and

ws_sold_date_sk = d_date_sk and

d_year = 1999 and

d_qoy < 4) or

exists (select *

from catalog_sales,date_dim

where c.c_customer_sk = cs_ship_customer_sk and

cs_sold_date_sk = d_date_sk and

d_year = 1999 and

d_qoy < 4))

group by ca_state,

cd_gender,

cd_marital_status,

cd_dep_count,

cd_dep_employed_count,

cd_dep_college_count

order by ca_state,

cd_gender,

cd_marital_status,

cd_dep_count,

cd_dep_employed_count,

cd_dep_college_count

) A limit 100;

Q36.sql

select * from (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 = 2000

and d1.d_date_sk = ss_sold_date_sk

and i_item_sk = ss_item_sk

and s_store_sk = ss_store_sk

and 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

) A limit 100;

Q37.sql

select * from (select i_item_id

,i_item_desc

,i_current_price

from item, inventory, date_dim, catalog_sales

where i_current_price between 22 and 22 + 30

and inv_item_sk = i_item_sk

and d_date_sk=inv_date_sk

and d_date between cast('2001-06-02' as date) and (cast('2001-06-02' as date) + 60 days)

and i_manufact_id in (678,964,918,849)

and inv_quantity_on_hand between 100 and 500

and cs_item_sk = i_item_sk

group by i_item_id,i_item_desc,i_current_price

order by i_item_id

) A limit 100;

Q38.sql

select * from (select count(*) from (

select distinct c_last_name, c_first_name, d_date

from store_sales, date_dim, customer

where store_sales.ss_sold_date_sk = date_dim.d_date_sk

and store_sales.ss_customer_sk = customer.c_customer_sk

and d_month_seq between 1212 and 1212 + 11

intersect

select distinct c_last_name, c_first_name, d_date

from catalog_sales, date_dim, customer

where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk

and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk

and d_month_seq between 1212 and 1212 + 11

intersect

select distinct c_last_name, c_first_name, d_date

from web_sales, date_dim, customer

where web_sales.ws_sold_date_sk = date_dim.d_date_sk

and web_sales.ws_bill_customer_sk = customer.c_customer_sk

and d_month_seq between 1212 and 1212 + 11

) hot_cust

) A limit 100;

Q39.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 =1998

group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo

where case mean when 0 then 0 else stdev/mean end > 1)

select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov

,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov

from inv inv1,inv inv2

where inv1.i_item_sk = inv2.i_item_sk

and inv1.w_warehouse_sk = inv2.w_warehouse_sk

and inv1.d_moy=4

and inv2.d_moy=4+1

order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov

,inv2.d_moy,inv2.mean, inv2.cov

;

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 =1998

group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo

where case mean when 0 then 0 else stdev/mean end > 1)

select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov

,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov

from inv inv1,inv inv2

where inv1.i_item_sk = inv2.i_item_sk

and inv1.w_warehouse_sk = inv2.w_warehouse_sk

and inv1.d_moy=4

and inv2.d_moy=4+1

and inv1.cov > 1.5

order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov

,inv2.d_moy,inv2.mean, inv2.cov

;

Q40.sql

select * from (select

w_state

,i_item_id

,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date))

then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_before

,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date))

then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_after

from

catalog_sales left outer join catalog_returns on

(cs_order_number = cr_order_number

and cs_item_sk = cr_item_sk)

,warehouse

,item

,date_dim

where

i_current_price between 0.99 and 1.49

and i_item_sk = cs_item_sk

and cs_warehouse_sk = w_warehouse_sk

and cs_sold_date_sk = d_date_sk

and d_date between (cast ('1998-04-08' as date) - 30 days)

and (cast ('1998-04-08' as date) + 30 days)

group by

w_state,i_item_id

order by w_state,i_item_id

) A limit 100;

Q41.sql

select * from (select distinct(i_product_name)

from item i1

where i_manufact_id between 742 and 742+40

and (select count(*) as item_cnt

from item

where (i_manufact = i1.i_manufact and

((i_category = 'Women' and

(i_color = 'orchid' or i_color = 'papaya') and

(i_units = 'Pound' or i_units = 'Lb') and

(i_size = 'petite' or i_size = 'medium')

) or

(i_category = 'Women' and

(i_color = 'burlywood' or i_color = 'navy') and

(i_units = 'Bundle' or i_units = 'Each') and

(i_size = 'N/A' or i_size = 'extra large')

) or

(i_category = 'Men' and

(i_color = 'bisque' or i_color = 'azure') and

(i_units = 'N/A' or i_units = 'Tsp') and

(i_size = 'small' or i_size = 'large')

) or

(i_category = 'Men' and

(i_color = 'chocolate' or i_color = 'cornflower') and

(i_units = 'Bunch' or i_units = 'Gross') and

(i_size = 'petite' or i_size = 'medium')

))) or

(i_manufact = i1.i_manufact and

((i_category = 'Women' and

(i_color = 'salmon' or i_color = 'midnight') and

(i_units = 'Oz' or i_units = 'Box') and

(i_size = 'petite' or i_size = 'medium')

) or

(i_category = 'Women' and

(i_color = 'snow' or i_color = 'steel') and

(i_units = 'Carton' or i_units = 'Tbl') and

(i_size = 'N/A' or i_size = 'extra large')

) or

(i_category = 'Men' and

(i_color = 'purple' or i_color = 'gainsboro') and

(i_units = 'Dram' or i_units = 'Unknown') and

(i_size = 'small' or i_size = 'large')

) or

(i_category = 'Men' and

(i_color = 'metallic' or i_color = 'forest') and

(i_units = 'Gram' or i_units = 'Ounce') and

(i_size = 'petite' or i_size = 'medium')

)))) > 0

order by i_product_name

) A limit 100;

Q42.sql

select * from (select dt.d_year

,item.i_category_id

,item.i_category

,sum(ss_ext_sales_price)

from date_dim dt

,store_sales

,item

where dt.d_date_sk = store_sales.ss_sold_date_sk

and store_sales.ss_item_sk = item.i_item_sk

and item.i_manager_id = 1

and dt.d_moy=12

and dt.d_year=1998

group by dt.d_year

,item.i_category_id

,item.i_category

order by sum(ss_ext_sales_price) desc,dt.d_year

,item.i_category_id

,item.i_category

) A limit 100 ;

Q43.sql

select * from (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 = 1998

group by s_store_name, s_store_id

order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales

) A limit 100;

Q44.sql

select * from (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 = 2

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 = 2

and ss_hdemo_sk is null

group by ss_store_sk))V1)V11

where rnk < 11) asceding,

(select *

from (select item_sk,rank() over (order by rank_col desc) rnk

from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col

from store_sales ss1

where ss_store_sk = 2

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 = 2

and ss_hdemo_sk is null

group by ss_store_sk))V2)V21

where rnk < 11) descending,

item i1,

item i2

where asceding.rnk = descending.rnk

and i1.i_item_sk=asceding.item_sk

and i2.i_item_sk=descending.item_sk

order by asceding.rnk

) A limit 100;

Q45.sql

select * from (select ca_zip, ca_county, sum(ws_sales_price)

from web_sales, customer, customer_address, date_dim, item

where ws_bill_customer_sk = c_customer_sk

and c_current_addr_sk = ca_address_sk

and ws_item_sk = i_item_sk

and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792')

or

i_item_id in (select i_item_id

from item

where i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)

)

)

and ws_sold_date_sk = d_date_sk

and d_qoy = 2 and d_year = 2000

group by ca_zip, ca_county

order by ca_zip, ca_county

) A limit 100;

Q46.sql

select * from (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 = 5 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 ('Midway','Fairview','Fairview','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

,c_first_name

,ca_city

,bought_city

,ss_ticket_number

) A limit 100;

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 = 2000 or

( d_year = 2000-1 and d_moy =12) or

( d_year = 2000+1 and d_moy =1)

)

group by i_category, i_brand,

s_store_name, s_company_name,

d_year, d_moy),

v2 as(

select v1.i_category

,v1.d_year, v1.d_moy

,v1.avg_monthly_sales

,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum

from v1, v1 v1_lag, v1 v1_lead

where v1.i_category = v1_lag.i_category and

v1.i_category = v1_lead.i_category and

v1.i_brand = v1_lag.i_brand and

v1.i_brand = v1_lead.i_brand and

v1.s_store_name = v1_lag.s_store_name and

v1.s_store_name = v1_lead.s_store_name and

v1.s_company_name = v1_lag.s_company_name and

v1.s_company_name = v1_lead.s_company_name and

v1.rn = v1_lag.rn + 1 and

v1.rn = v1_lead.rn - 1)

select * from ( select *

from v2

where d_year = 2000 and

avg_monthly_sales > 0 and

case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1

order by sum_sales - avg_monthly_sales, 3

) A limit 100;

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 = 1998

and

(

(

cd_demo_sk = ss_cdemo_sk

and

cd_marital_status = 'M'

and

cd_education_status = '4 yr Degree'

and

ss_sales_price between 100.00 and 150.00

)

or

(

cd_demo_sk = ss_cdemo_sk

and

cd_marital_status = 'D'

and

cd_education_status = 'Primary'

and

ss_sales_price between 50.00 and 100.00

)

or

(

cd_demo_sk = ss_cdemo_sk

and

cd_marital_status = 'U'

and

cd_education_status = 'Advanced Degree'

and

ss_sales_price between 150.00 and 200.00

)

)

and

(

(

ss_addr_sk = ca_address_sk

and

ca_country = 'United States'

and

ca_state in ('KY', 'GA', 'NM')

and ss_net_profit between 0 and 2000

)

or

(ss_addr_sk = ca_address_sk

and

ca_country = 'United States'

and

ca_state in ('MT', 'OR', 'IN')

and ss_net_profit between 150 and 3000

)

or

(ss_addr_sk = ca_address_sk

and

ca_country = 'United States'

and

ca_state in ('WI', 'MO', 'WV')

and ss_net_profit between 50 and 25000

)

)

;

Q49.sql

select * from (select

'web' as channel

,web.item

,web.return_ratio

,web.return_rank

,web.currency_rank

from (

select

item

,return_ratio

,currency_ratio

,rank() over (order by return_ratio) as return_rank

,rank() over (order by currency_ratio) as currency_rank

from

( select ws.ws_item_sk as item

,(cast(sum(coalesce(wr.wr_return_quantity,0)) as dec(15,4))/

cast(sum(coalesce(ws.ws_quantity,0)) as dec(15,4) )) as return_ratio

,(cast(sum(coalesce(wr.wr_return_amt,0)) as dec(15,4))/

cast(sum(coalesce(ws.ws_net_paid,0)) as dec(15,4) )) as currency_ratio

from

web_sales ws left outer join web_returns wr

on (ws.ws_order_number = wr.wr_order_number and

ws.ws_item_sk = wr.wr_item_sk)

,date_dim

where

wr.wr_return_amt > 10000

and ws.ws_net_profit > 1

and ws.ws_net_paid > 0

and ws.ws_quantity > 0

and ws_sold_date_sk = d_date_sk

and d_year = 2000

and d_moy = 12

group by ws.ws_item_sk

) in_web

) web

where

(

web.return_rank <= 10

or

web.currency_rank <= 10

)

union

select

'catalog' as channel

,catalog.item

,catalog.return_ratio

,catalog.return_rank

,catalog.currency_rank

from (

select

item

,return_ratio

,currency_ratio

,rank() over (order by return_ratio) as return_rank

,rank() over (order by currency_ratio) as currency_rank

from

( select

cs.cs_item_sk as item

,(cast(sum(coalesce(cr.cr_return_quantity,0)) as dec(15,4))/

cast(sum(coalesce(cs.cs_quantity,0)) as dec(15,4) )) as return_ratio

,(cast(sum(coalesce(cr.cr_return_amount,0)) as dec(15,4))/

cast(sum(coalesce(cs.cs_net_paid,0)) as dec(15,4) )) as currency_ratio

from

catalog_sales cs left outer join catalog_returns cr

on (cs.cs_order_number = cr.cr_order_number and

cs.cs_item_sk = cr.cr_item_sk)

,date_dim

where

cr.cr_return_amount > 10000

and cs.cs_net_profit > 1

and cs.cs_net_paid > 0

and cs.cs_quantity > 0

and cs_sold_date_sk = d_date_sk

and d_year = 2000

and d_moy = 12

group by cs.cs_item_sk

) in_cat

) catalog

where

(

catalog.return_rank <= 10

or

catalog.currency_rank <=10

)

union

select

'store' as channel

,store.item

,store.return_ratio

,store.return_rank

,store.currency_rank

from (

select

item

,return_ratio

,currency_ratio

,rank() over (order by return_ratio) as return_rank

,rank() over (order by currency_ratio) as currency_rank

from

( select sts.ss_item_sk as item

,(cast(sum(coalesce(sr.sr_return_quantity,0)) as dec(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) as dec(15,4) )) as return_ratio

,(cast(sum(coalesce(sr.sr_return_amt,0)) as dec(15,4))/cast(sum(coalesce(sts.ss_net_paid,0)) as dec(15,4) )) as currency_ratio

from

store_sales sts left outer join store_returns sr

on (sts.ss_ticket_number = sr.sr_ticket_number and sts.ss_item_sk = sr.sr_item_sk)

,date_dim

where

sr.sr_return_amt > 10000

and sts.ss_net_profit > 1

and sts.ss_net_paid > 0

and sts.ss_quantity > 0

and ss_sold_date_sk = d_date_sk

and d_year = 2000

and d_moy = 12

group by sts.ss_item_sk

) in_store

) store

where (

store.return_rank <= 10

or

store.currency_rank <= 10

)

order by 1,4,5

) A limit 100;

Q50.sql

select * from (select

s_store_name

,s_company_id

,s_street_number

,s_street_name

,s_street_type

,s_suite_number

,s_city

,s_county

,s_state

,s_zip

,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days"

,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and

(sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days"

,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and

(sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days"

,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and

(sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days"

,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as ">120 days"

from

store_sales

,store_returns

,store

,date_dim d1

,date_dim d2

where

d2.d_year = 2000

and d2.d_moy = 9

and ss_ticket_number = sr_ticket_number

and ss_item_sk = sr_item_sk

and ss_sold_date_sk = d1.d_date_sk

and sr_returned_date_sk = d2.d_date_sk

and ss_customer_sk = sr_customer_sk

and ss_store_sk = s_store_sk

group by

s_store_name

,s_company_id

,s_street_number

,s_street_name

,s_street_type

,s_suite_number

,s_city

,s_county

,s_state

,s_zip

order by s_store_name

,s_company_id

,s_street_number

,s_street_name

,s_street_type

,s_suite_number

,s_city

,s_county

,s_state

,s_zip

) A limit 100;

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 1212 and 1212+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 1212 and 1212+11

and ss_item_sk is not NULL

group by ss_item_sk, d_date)

select * from ( 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

) A limit 100;

Q52.sql

select * from (select dt.d_year

,item.i_brand_id brand_id

,item.i_brand brand

,sum(ss_ext_sales_price) ext_price

from date_dim dt

,store_sales

,item

where dt.d_date_sk = store_sales.ss_sold_date_sk

and store_sales.ss_item_sk = item.i_item_sk

and item.i_manager_id = 1

and dt.d_moy=12

and dt.d_year=1998

group by dt.d_year

,item.i_brand

,item.i_brand_id

order by dt.d_year

,ext_price desc

,brand_id

) A limit 100 ;

Q53.sql

select * from (select * from

(select i_manufact_id,

sum(ss_sales_price) sum_sales,

avg(sum(ss_sales_price)) over (partition by i_manufact_id) avg_quarterly_sales

from item, store_sales, date_dim, store

where ss_item_sk = i_item_sk and

ss_sold_date_sk = d_date_sk and

ss_store_sk = s_store_sk and

d_month_seq in (1212,1212+1,1212+2,1212+3,1212+4,1212+5,1212+6,1212+7,1212+8,1212+9,1212+10,1212+11) and

((i_category in ('Books','Children','Electronics') and

i_class in ('personal','portable','reference','self-help') and

i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',

'exportiunivamalg #9','scholaramalgamalg #9'))

or(i_category in ('Women','Music','Men') and

i_class in ('accessories','classical','fragrances','pants') and

i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',

'importoamalg #1')))

group by i_manufact_id, d_qoy ) tmp1

where case when avg_quarterly_sales > 0

then abs (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales

else null end > 0.1

order by avg_quarterly_sales,

sum_sales,

i_manufact_id

) A limit 100;

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 = 'Jewelry'

and i_class = 'consignment'

and c_customer_sk = cs_or_ws_sales.customer_sk

and d_moy = 3

and d_year = 1999

)

, my_revenue as (

select c_customer_sk,

sum(ss_ext_sales_price) as revenue

from my_customers,

store_sales,

customer_address,

store,

date_dim

where c_current_addr_sk = ca_address_sk

and ca_county = s_county

and ca_state = s_state

and ss_sold_date_sk = d_date_sk

and c_customer_sk = ss_customer_sk

and d_month_seq between (select distinct d_month_seq+1

from date_dim where d_year = 1999 and d_moy = 3)

and (select distinct d_month_seq+3

from date_dim where d_year = 1999 and d_moy = 3)

group by c_customer_sk

)

, segments as

(select cast((revenue/50) as int) as segment

from my_revenue

)

select * from ( select segment, count(*) as num_customers, segment*50 as segment_base

from segments

group by segment

order by segment, num_customers

) A limit 100;

Q55.sql

select * from (select i_brand_id brand_id, i_brand brand,

sum(ss_ext_sales_price) ext_price

from date_dim, store_sales, item

where d_date_sk = ss_sold_date_sk

and ss_item_sk = i_item_sk

and i_manager_id=36

and d_moy=12

and d_year=2001

group by i_brand, i_brand_id

order by ext_price desc, i_brand_id

) A limit 100 ;

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 ('orchid','chiffon','lace'))

and ss_item_sk = i_item_sk

and ss_sold_date_sk = d_date_sk

and d_year = 2000

and d_moy = 1

and ss_addr_sk = ca_address_sk

and ca_gmt_offset = -8

group by i_item_id),

cs as (

select i_item_id,sum(cs_ext_sales_price) total_sales

from

catalog_sales,

date_dim,

customer_address,

item

where

i_item_id in (select

i_item_id

from item

where i_color in ('orchid','chiffon','lace'))

and cs_item_sk = i_item_sk

and cs_sold_date_sk = d_date_sk

and d_year = 2000

and d_moy = 1

and cs_bill_addr_sk = ca_address_sk

and ca_gmt_offset = -8

group by i_item_id),

ws as (

select i_item_id,sum(ws_ext_sales_price) total_sales

from

web_sales,

date_dim,

customer_address,

item

where

i_item_id in (select

i_item_id

from item

where i_color in ('orchid','chiffon','lace'))

and ws_item_sk = i_item_sk

and ws_sold_date_sk = d_date_sk

and d_year = 2000

and d_moy = 1

and ws_bill_addr_sk = ca_address_sk

and ca_gmt_offset = -8

group by i_item_id)

select * from ( 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

) A limit 100;

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 = 2000 or

( d_year = 2000-1 and d_moy =12) or

( d_year = 2000+1 and d_moy =1)

)

group by i_category, i_brand,

cc_name , d_year, d_moy),

v2 as(

select v1.i_category, v1.i_brand

,v1.d_year, v1.d_moy

,v1.avg_monthly_sales

,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum

from v1, v1 v1_lag, v1 v1_lead

where v1.i_category = v1_lag.i_category and

v1.i_category = v1_lead.i_category and

v1.i_brand = v1_lag.i_brand and

v1.i_brand = v1_lead.i_brand and

v1. cc_name = v1_lag. cc_name and

v1. cc_name = v1_lead. cc_name and

v1.rn = v1_lag.rn + 1 and

v1.rn = v1_lead.rn - 1)

select * from ( select *

from v2

where d_year = 2000 and

avg_monthly_sales > 0 and

case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1

order by sum_sales - avg_monthly_sales, 3

) A limit 100;

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 = '1998-02-19'))

and ss_sold_date_sk = d_date_sk

group by i_item_id),

cs_items as

(select i_item_id item_id

,sum(cs_ext_sales_price) cs_item_rev

from catalog_sales

,item

,date_dim

where cs_item_sk = i_item_sk

and d_date in (select d_date

from date_dim

where d_week_seq = (select d_week_seq

from date_dim

where d_date = '1998-02-19'))

and cs_sold_date_sk = d_date_sk

group by i_item_id),

ws_items as

(select i_item_id item_id

,sum(ws_ext_sales_price) ws_item_rev

from web_sales

,item

,date_dim

where ws_item_sk = i_item_sk

and d_date in (select d_date

from date_dim

where d_week_seq =(select d_week_seq

from date_dim

where d_date = '1998-02-19'))

and ws_sold_date_sk = d_date_sk

group by i_item_id)

select * from ( select ss_items.item_id

,ss_item_rev

,ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev

,cs_item_rev

,cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev

,ws_item_rev

,ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev

,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average

from ss_items,cs_items,ws_items

where ss_items.item_id=cs_items.item_id

and ss_items.item_id=ws_items.item_id

and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev

and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev

and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev

and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev

and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev

and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev

order by item_id

,ss_item_rev

) A limit 100;

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 * from ( 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 1185 and 1185 + 11) y,

(select s_store_name s_store_name2,wss.d_week_seq d_week_seq2

,s_store_id s_store_id2,sun_sales sun_sales2

,mon_sales mon_sales2,tue_sales tue_sales2

,wed_sales wed_sales2,thu_sales thu_sales2

,fri_sales fri_sales2,sat_sales sat_sales2

from wss,store,date_dim d

where d.d_week_seq = wss.d_week_seq and

ss_store_sk = s_store_sk and

d_month_seq between 1185+ 12 and 1185 + 23) x

where s_store_id1=s_store_id2

and d_week_seq1=d_week_seq2-52

order by s_store_name1,s_store_id1,d_week_seq1

) A limit 100;

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 ('Children'))

and ss_item_sk = i_item_sk

and ss_sold_date_sk = d_date_sk

and d_year = 1999

and d_moy = 9

and ss_addr_sk = ca_address_sk

and ca_gmt_offset = -6

group by i_item_id),

cs as (

select

i_item_id,sum(cs_ext_sales_price) total_sales

from

catalog_sales,

date_dim,

customer_address,

item

where

i_item_id in (select

i_item_id

from

item

where i_category in ('Children'))

and cs_item_sk = i_item_sk

and cs_sold_date_sk = d_date_sk

and d_year = 1999

and d_moy = 9

and cs_bill_addr_sk = ca_address_sk

and ca_gmt_offset = -6

group by i_item_id),

ws as (

select

i_item_id,sum(ws_ext_sales_price) total_sales

from

web_sales,

date_dim,

customer_address,

item

where

i_item_id in (select

i_item_id

from

item

where i_category in ('Children'))

and ws_item_sk = i_item_sk

and ws_sold_date_sk = d_date_sk

and d_year = 1999

and d_moy = 9

and ws_bill_addr_sk = ca_address_sk

and ca_gmt_offset = -6

group by i_item_id)

select * from ( 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

) A limit 100;

Q61.sql

select * from (select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100

from

(select sum(ss_ext_sales_price) promotions

from store_sales

,store

,promotion

,date_dim

,customer

,customer_address

,item

where ss_sold_date_sk = d_date_sk

and ss_store_sk = s_store_sk

and ss_promo_sk = p_promo_sk

and ss_customer_sk= c_customer_sk

and ca_address_sk = c_current_addr_sk

and ss_item_sk = i_item_sk

and ca_gmt_offset = -7

and i_category = 'Books'

and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')

and s_gmt_offset = -7

and d_year = 1999

and d_moy = 11) promotional_sales,

(select sum(ss_ext_sales_price) total

from store_sales

,store

,date_dim

,customer

,customer_address

,item

where ss_sold_date_sk = d_date_sk

and ss_store_sk = s_store_sk

and ss_customer_sk= c_customer_sk

and ca_address_sk = c_current_addr_sk

and ss_item_sk = i_item_sk

and ca_gmt_offset = -7

and i_category = 'Books'

and s_gmt_offset = -7

and d_year = 1999

and d_moy = 11) all_sales

order by promotions, total

) A limit 100;

Q62.sql

select * from (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 1212 and 1212 + 11

and ws_ship_date_sk = d_date_sk

and ws_warehouse_sk = w_warehouse_sk

and ws_ship_mode_sk = sm_ship_mode_sk

and ws_web_site_sk = web_site_sk

group by

substr(w_warehouse_name,1,20)

,sm_type

,web_name

order by substr(w_warehouse_name,1,20)

,sm_type

,web_name

) A limit 100;

Q63.sql

select * from (select *

from (select i_manager_id

,sum(ss_sales_price) sum_sales

,avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales

from item

,store_sales

,date_dim

,store

where ss_item_sk = i_item_sk

and ss_sold_date_sk = d_date_sk

and ss_store_sk = s_store_sk

and d_month_seq in (1212,1212+1,1212+2,1212+3,1212+4,1212+5,1212+6,1212+7,1212+8,1212+9,1212+10,1212+11)

and (( i_category in ('Books','Children','Electronics')

and i_class in ('personal','portable','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

) A limit 100;

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_street_name

,ad1.ca_city b_city

,ad1.ca_zip b_zip

,ad2.ca_street_number c_street_number

,ad2.ca_street_name c_street_name

,ad2.ca_city c_city

,ad2.ca_zip c_zip

,d1.d_year as syear

,d2.d_year as fsyear

,d3.d_year s2year

,count(*) cnt

,sum(ss_wholesale_cost) s1

,sum(ss_list_price) s2

,sum(ss_coupon_amt) s3

FROM store_sales

,store_returns

,cs_ui

,date_dim d1

,date_dim d2

,date_dim d3

,store

,customer

,customer_demographics cd1

,customer_demographics cd2

,promotion

,household_demographics hd1

,household_demographics hd2

,customer_address ad1

,customer_address ad2

,income_band ib1

,income_band ib2

,item

WHERE ss_store_sk = s_store_sk AND

ss_sold_date_sk = d1.d_date_sk AND

ss_customer_sk = c_customer_sk AND

ss_cdemo_sk= cd1.cd_demo_sk AND

ss_hdemo_sk = hd1.hd_demo_sk AND

ss_addr_sk = ad1.ca_address_sk and

ss_item_sk = i_item_sk and

ss_item_sk = sr_item_sk and

ss_ticket_number = sr_ticket_number and

ss_item_sk = cs_ui.cs_item_sk and

c_current_cdemo_sk = cd2.cd_demo_sk AND

c_current_hdemo_sk = hd2.hd_demo_sk AND

c_current_addr_sk = ad2.ca_address_sk and

c_first_sales_date_sk = d2.d_date_sk and

c_first_shipto_date_sk = d3.d_date_sk and

ss_promo_sk = p_promo_sk and

hd1.hd_income_band_sk = ib1.ib_income_band_sk and

hd2.hd_income_band_sk = ib2.ib_income_band_sk and

cd1.cd_marital_status <> cd2.cd_marital_status and

i_color in ('maroon','burnished','dim','steel','navajo','chocolate') and

i_current_price between 35 and 35 + 10 and

i_current_price between 35 + 1 and 35 + 15

group by i_product_name

,i_item_sk

,s_store_name

,s_zip

,ad1.ca_street_number

,ad1.ca_street_name

,ad1.ca_city

,ad1.ca_zip

,ad2.ca_street_number

,ad2.ca_street_name

,ad2.ca_city

,ad2.ca_zip

,d1.d_year

,d2.d_year

,d3.d_year

)

select cs1.product_name

,cs1.store_name

,cs1.store_zip

,cs1.b_street_number

,cs1.b_street_name

,cs1.b_city

,cs1.b_zip

,cs1.c_street_number

,cs1.c_street_name

,cs1.c_city

,cs1.c_zip

,cs1.syear

,cs1.cnt

,cs1.s1 as s11

,cs1.s2 as s21

,cs1.s3 as s31

,cs2.s1 as s12

,cs2.s2 as s22

,cs2.s3 as s32

,cs2.syear

,cs2.cnt

from cross_sales cs1,cross_sales cs2

where cs1.item_sk=cs2.item_sk and

cs1.syear = 2000 and

cs2.syear = 2000 + 1 and

cs2.cnt <= cs1.cnt and

cs1.store_name = cs2.store_name and

cs1.store_zip = cs2.store_zip

order by cs1.product_name

,cs1.store_name

,cs2.cnt;

Q65.sql

select * from (select

s_store_name,

i_item_desc,

sc.revenue,

i_current_price,

i_wholesale_cost,

i_brand

from store, item,

(select ss_store_sk, avg(revenue) as ave

from

(select ss_store_sk, ss_item_sk,

sum(ss_sales_price) as revenue

from store_sales, date_dim

where ss_sold_date_sk = d_date_sk and d_month_seq between 1212 and 1212+11

group by ss_store_sk, ss_item_sk) sa

group by ss_store_sk) sb,

(select ss_store_sk, ss_item_sk, sum(ss_sales_price) as revenue

from store_sales, date_dim

where ss_sold_date_sk = d_date_sk and d_month_seq between 1212 and 1212+11

group by ss_store_sk, ss_item_sk) sc

where sb.ss_store_sk = sc.ss_store_sk and

sc.revenue <= 0.1 * sb.ave and

s_store_sk = sc.ss_store_sk and

i_item_sk = sc.ss_item_sk

order by s_store_name, i_item_desc

) A limit 100;

Q66.sql

select * from (select

w_warehouse_name

,w_warehouse_sq_ft

,w_city

,w_county

,w_state

,w_country

,ship_carriers

,year

,sum(jan_sales) as jan_sales

,sum(feb_sales) as feb_sales

,sum(mar_sales) as mar_sales

,sum(apr_sales) as apr_sales

,sum(may_sales) as may_sales

,sum(jun_sales) as jun_sales

,sum(jul_sales) as jul_sales

,sum(aug_sales) as aug_sales

,sum(sep_sales) as sep_sales

,sum(oct_sales) as oct_sales

,sum(nov_sales) as nov_sales

,sum(dec_sales) as dec_sales

,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot

,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot

,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot

,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot

,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot

,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot

,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot

,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot

,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot

,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot

,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot

,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot

,sum(jan_net) as jan_net

,sum(feb_net) as feb_net

,sum(mar_net) as mar_net

,sum(apr_net) as apr_net

,sum(may_net) as may_net

,sum(jun_net) as jun_net

,sum(jul_net) as jul_net

,sum(aug_net) as aug_net

,sum(sep_net) as sep_net

,sum(oct_net) as oct_net

,sum(nov_net) as nov_net

,sum(dec_net) as dec_net

from (

select

w_warehouse_name

,w_warehouse_sq_ft

,w_city

,w_county

,w_state

,w_country

,'DIAMOND' || ',' || 'AIRBORNE' as ship_carriers

,d_year as year

,sum(case when d_moy = 1

then ws_sales_price* ws_quantity else 0 end) as jan_sales

,sum(case when d_moy = 2

then ws_sales_price* ws_quantity else 0 end) as feb_sales

,sum(case when d_moy = 3

then ws_sales_price* ws_quantity else 0 end) as mar_sales

,sum(case when d_moy = 4

then ws_sales_price* ws_quantity else 0 end) as apr_sales

,sum(case when d_moy = 5

then ws_sales_price* ws_quantity else 0 end) as may_sales

,sum(case when d_moy = 6

then ws_sales_price* ws_quantity else 0 end) as jun_sales

,sum(case when d_moy = 7

then ws_sales_price* ws_quantity else 0 end) as jul_sales

,sum(case when d_moy = 8

then ws_sales_price* ws_quantity else 0 end) as aug_sales

,sum(case when d_moy = 9

then ws_sales_price* ws_quantity else 0 end) as sep_sales

,sum(case when d_moy = 10

then ws_sales_price* ws_quantity else 0 end) as oct_sales

,sum(case when d_moy = 11

then ws_sales_price* ws_quantity else 0 end) as nov_sales

,sum(case when d_moy = 12

then ws_sales_price* ws_quantity else 0 end) as dec_sales

,sum(case when d_moy = 1

then ws_net_paid_inc_tax * ws_quantity else 0 end) as jan_net

,sum(case when d_moy = 2

then ws_net_paid_inc_tax * ws_quantity else 0 end) as feb_net

,sum(case when d_moy = 3

then ws_net_paid_inc_tax * ws_quantity else 0 end) as mar_net

,sum(case when d_moy = 4

then ws_net_paid_inc_tax * ws_quantity else 0 end) as apr_net

,sum(case when d_moy = 5

then ws_net_paid_inc_tax * ws_quantity else 0 end) as may_net

,sum(case when d_moy = 6

then ws_net_paid_inc_tax * ws_quantity else 0 end) as jun_net

,sum(case when d_moy = 7

then ws_net_paid_inc_tax * ws_quantity else 0 end) as jul_net

,sum(case when d_moy = 8

then ws_net_paid_inc_tax * ws_quantity else 0 end) as aug_net

,sum(case when d_moy = 9

then ws_net_paid_inc_tax * ws_quantity else 0 end) as sep_net

,sum(case when d_moy = 10

then ws_net_paid_inc_tax * ws_quantity else 0 end) as oct_net

,sum(case when d_moy = 11

then ws_net_paid_inc_tax * ws_quantity else 0 end) as nov_net

,sum(case when d_moy = 12

then ws_net_paid_inc_tax * ws_quantity else 0 end) as dec_net

from

web_sales

,warehouse

,date_dim

,time_dim

,ship_mode

where

ws_warehouse_sk = w_warehouse_sk

and ws_sold_date_sk = d_date_sk

and ws_sold_time_sk = t_time_sk

and ws_ship_mode_sk = sm_ship_mode_sk

and d_year = 2002

and t_time between 49530 and 49530+28800

and sm_carrier in ('DIAMOND','AIRBORNE')

group by

w_warehouse_name

,w_warehouse_sq_ft

,w_city

,w_county

,w_state

,w_country

,d_year

union all

select

w_warehouse_name

,w_warehouse_sq_ft

,w_city

,w_county

,w_state

,w_country

,'DIAMOND' || ',' || 'AIRBORNE' as ship_carriers

,d_year as year

,sum(case when d_moy = 1

then cs_ext_sales_price* cs_quantity else 0 end) as jan_sales

,sum(case when d_moy = 2

then cs_ext_sales_price* cs_quantity else 0 end) as feb_sales

,sum(case when d_moy = 3

then cs_ext_sales_price* cs_quantity else 0 end) as mar_sales

,sum(case when d_moy = 4

then cs_ext_sales_price* cs_quantity else 0 end) as apr_sales

,sum(case when d_moy = 5

then cs_ext_sales_price* cs_quantity else 0 end) as may_sales

,sum(case when d_moy = 6

then cs_ext_sales_price* cs_quantity else 0 end) as jun_sales

,sum(case when d_moy = 7

then cs_ext_sales_price* cs_quantity else 0 end) as jul_sales

,sum(case when d_moy = 8

then cs_ext_sales_price* cs_quantity else 0 end) as aug_sales

,sum(case when d_moy = 9

then cs_ext_sales_price* cs_quantity else 0 end) as sep_sales

,sum(case when d_moy = 10

then cs_ext_sales_price* cs_quantity else 0 end) as oct_sales

,sum(case when d_moy = 11

then cs_ext_sales_price* cs_quantity else 0 end) as nov_sales

,sum(case when d_moy = 12

then cs_ext_sales_price* cs_quantity else 0 end) as dec_sales

,sum(case when d_moy = 1

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jan_net

,sum(case when d_moy = 2

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as feb_net

,sum(case when d_moy = 3

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as mar_net

,sum(case when d_moy = 4

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as apr_net

,sum(case when d_moy = 5

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as may_net

,sum(case when d_moy = 6

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jun_net

,sum(case when d_moy = 7

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jul_net

,sum(case when d_moy = 8

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as aug_net

,sum(case when d_moy = 9

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as sep_net

,sum(case when d_moy = 10

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as oct_net

,sum(case when d_moy = 11

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as nov_net

,sum(case when d_moy = 12

then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as dec_net

from

catalog_sales

,warehouse

,date_dim

,time_dim

,ship_mode

where

cs_warehouse_sk = w_warehouse_sk

and cs_sold_date_sk = d_date_sk

and cs_sold_time_sk = t_time_sk

and cs_ship_mode_sk = sm_ship_mode_sk

and d_year = 2002

and t_time between 49530 AND 49530+28800

and sm_carrier in ('DIAMOND','AIRBORNE')

group by

w_warehouse_name

,w_warehouse_sq_ft

,w_city

,w_county

,w_state

,w_country

,d_year

) x

group by

w_warehouse_name

,w_warehouse_sq_ft

,w_city

,w_county

,w_state

,w_country

,ship_carriers

,year

order by w_warehouse_name

) A limit 100;

Q67.sql

select * from (select *

from (select i_category

,i_class

,i_brand

,i_product_name

,d_year

,d_qoy

,d_moy

,s_store_id

,sumsales

,rank() over (partition by i_category order by sumsales desc) rk

from (select i_category

,i_class

,i_brand

,i_product_name

,d_year

,d_qoy

,d_moy

,s_store_id

,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales

from store_sales

,date_dim

,store

,item

where ss_sold_date_sk=d_date_sk

and ss_item_sk=i_item_sk

and ss_store_sk = s_store_sk

and d_month_seq between 1212 and 1212+11

group by rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2

where rk <= 100

order by i_category

,i_class

,i_brand

,i_product_name

,d_year

,d_qoy

,d_moy

,s_store_id

,sumsales

,rk

) A limit 100;

Q68.sql

select * from (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 = 5 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

) A limit 100;

Q69.sql

select * from (select

cd_gender,

cd_marital_status,

cd_education_status,

count(*) cnt1,

cd_purchase_estimate,

count(*) cnt2,

cd_credit_rating,

count(*) cnt3

from

customer c,customer_address ca,customer_demographics

where

c.c_current_addr_sk = ca.ca_address_sk and

ca_state in ('CO','IL','MN') and

cd_demo_sk = c.c_current_cdemo_sk and

exists (select *

from store_sales,date_dim

where c.c_customer_sk = ss_customer_sk and

ss_sold_date_sk = d_date_sk and

d_year = 1999 and

d_moy between 1 and 1+2) and

(not exists (select *

from web_sales,date_dim

where c.c_customer_sk = ws_bill_customer_sk and

ws_sold_date_sk = d_date_sk and

d_year = 1999 and

d_moy between 1 and 1+2) and

not exists (select *

from catalog_sales,date_dim

where c.c_customer_sk = cs_ship_customer_sk and

cs_sold_date_sk = d_date_sk and

d_year = 1999 and

d_moy between 1 and 1+2))

group by cd_gender,

cd_marital_status,

cd_education_status,

cd_purchase_estimate,

cd_credit_rating

order by cd_gender,

cd_marital_status,

cd_education_status,

cd_purchase_estimate,

cd_credit_rating

) A limit 100;

Q70.sql

select * from (select

sum(ss_net_profit) as total_sum

,s_state

,s_county

,grouping(s_state)+grouping(s_county) as lochierarchy

,rank() over (

partition by grouping(s_state)+grouping(s_county),

case when grouping(s_county) = 0 then s_state end

order by sum(ss_net_profit) desc) as rank_within_parent

from

store_sales

,date_dim d1

,store

where

d1.d_month_seq between 1212 and 1212+11

and d1.d_date_sk = ss_sold_date_sk

and s_store_sk = ss_store_sk

and s_state in

( select s_state

from (select s_state as s_state,

rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking

from store_sales, store, date_dim

where d_month_seq between 1212 and 1212+11

and d_date_sk = ss_sold_date_sk

and s_store_sk = ss_store_sk

group by s_state

) tmp1

where ranking <= 5

)

group by rollup(s_state,s_county)

order by

lochierarchy desc

,case when lochierarchy = 0 then s_state end

,rank_within_parent

) A limit 100;

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=12

and d_year=2000

union all

select cs_ext_sales_price as ext_price,

cs_sold_date_sk as sold_date_sk,

cs_item_sk as sold_item_sk,

cs_sold_time_sk as time_sk

from catalog_sales,date_dim

where d_date_sk = cs_sold_date_sk

and d_moy=12

and d_year=2000

union all

select ss_ext_sales_price as ext_price,

ss_sold_date_sk as sold_date_sk,

ss_item_sk as sold_item_sk,

ss_sold_time_sk as time_sk

from store_sales,date_dim

where d_date_sk = ss_sold_date_sk

and d_moy=12

and d_year=2000

) tmp,time_dim

where

sold_item_sk = i_item_sk

and i_manager_id=1

and time_sk = t_time_sk

and (t_meal_time = 'breakfast' or t_meal_time = 'dinner')

group by i_brand, i_brand_id,t_hour,t_minute

order by ext_price desc, i_brand_id

;

Q72.sql

select * from (select i_item_desc

,w_warehouse_name

,d1.d_week_seq

,sum(case when p_promo_sk is null then 1 else 0 end) no_promo

,sum(case when p_promo_sk is not null then 1 else 0 end) promo

,count(*) total_cnt

from catalog_sales

join inventory on (cs_item_sk = inv_item_sk)

join warehouse on (w_warehouse_sk=inv_warehouse_sk)

join item on (i_item_sk = cs_item_sk)

join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)

join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)

join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)

join date_dim d2 on (inv_date_sk = d2.d_date_sk)

join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)

left outer join promotion on (cs_promo_sk=p_promo_sk)

left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)

where d1.d_week_seq = d2.d_week_seq

and inv_quantity_on_hand < cs_quantity

and d3.d_date > d1.d_date + 5

and hd_buy_potential = '1001-5000'

and d1.d_year = 2001

and cd_marital_status = 'M'

group by i_item_desc,w_warehouse_name,d1.d_week_seq

order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq

) A limit 100;

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 (1998,1998+1,1998+2)

and store.s_county in ('Williamson County','Williamson County','Williamson County','Williamson 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;

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

,max(ss_net_paid) year_total

,'s' sale_type

from customer

,store_sales

,date_dim

where c_customer_sk = ss_customer_sk

and ss_sold_date_sk = d_date_sk

and d_year in (2001,2001+1)

group by c_customer_id

,c_first_name

,c_last_name

,d_year

union all

select c_customer_id customer_id

,c_first_name customer_first_name

,c_last_name customer_last_name

,d_year as year

,max(ws_net_paid) year_total

,'w' sale_type

from customer

,web_sales

,date_dim

where c_customer_sk = ws_bill_customer_sk

and ws_sold_date_sk = d_date_sk

and d_year in (2001,2001+1)

group by c_customer_id

,c_first_name

,c_last_name

,d_year

)

select * from ( select

t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name

from year_total t_s_firstyear

,year_total t_s_secyear

,year_total t_w_firstyear

,year_total t_w_secyear

where t_s_secyear.customer_id = t_s_firstyear.customer_id

and t_s_firstyear.customer_id = t_w_secyear.customer_id

and t_s_firstyear.customer_id = t_w_firstyear.customer_id

and t_s_firstyear.sale_type = 's'

and t_w_firstyear.sale_type = 'w'

and t_s_secyear.sale_type = 's'

and t_w_secyear.sale_type = 'w'

and t_s_firstyear.year = 2001

and t_s_secyear.year = 2001+1

and t_w_firstyear.year = 2001

and t_w_secyear.year = 2001+1

and t_s_firstyear.year_total > 0

and t_w_firstyear.year_total > 0

and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end

> case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end

order by 2,1,3

) A limit 100;

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='Sports'

UNION

SELECT d_year

,i_brand_id

,i_class_id

,i_category_id

,i_manufact_id

,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt

,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt

FROM store_sales JOIN item ON i_item_sk=ss_item_sk

JOIN date_dim ON d_date_sk=ss_sold_date_sk

LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number

AND ss_item_sk=sr_item_sk)

WHERE i_category='Sports'

UNION

SELECT d_year

,i_brand_id

,i_class_id

,i_category_id

,i_manufact_id

,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt

,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt

FROM web_sales JOIN item ON i_item_sk=ws_item_sk

JOIN date_dim ON d_date_sk=ws_sold_date_sk

LEFT JOIN web_returns ON (ws_order_number=wr_order_number

AND ws_item_sk=wr_item_sk)

WHERE i_category='Sports') sales_detail

GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id)

select * from ( 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

) A limit 100;

Q76.sql

select * from (select channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM (

SELECT 'store' as channel, 'ss_addr_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price

FROM store_sales, item, date_dim

WHERE ss_addr_sk IS NULL

AND ss_sold_date_sk=d_date_sk

AND ss_item_sk=i_item_sk

UNION ALL

SELECT 'web' as channel, 'ws_web_page_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price

FROM web_sales, item, date_dim

WHERE ws_web_page_sk IS NULL

AND ws_sold_date_sk=d_date_sk

AND ws_item_sk=i_item_sk

UNION ALL

SELECT 'catalog' as channel, 'cs_warehouse_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price

FROM catalog_sales, item, date_dim

WHERE cs_warehouse_sk IS NULL

AND cs_sold_date_sk=d_date_sk

AND cs_item_sk=i_item_sk) foo

GROUP BY channel, col_name, d_year, d_qoy, i_category

ORDER BY channel, col_name, d_year, d_qoy, i_category

) A limit 100;

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('1998-08-04' as date)

and (cast('1998-08-04' as date) + 30 days)

and ss_store_sk = s_store_sk

group by s_store_sk)

,

sr as

(select s_store_sk,

sum(sr_return_amt) as returns,

sum(sr_net_loss) as profit_loss

from store_returns,

date_dim,

store

where sr_returned_date_sk = d_date_sk

and d_date between cast('1998-08-04' as date)

and (cast('1998-08-04' as date) + 30 days)

and sr_store_sk = s_store_sk

group by s_store_sk),

cs as

(select cs_call_center_sk,

sum(cs_ext_sales_price) as sales,

sum(cs_net_profit) as profit

from catalog_sales,

date_dim

where cs_sold_date_sk = d_date_sk

and d_date between cast('1998-08-04' as date)

and (cast('1998-08-04' as date) + 30 days)

group by cs_call_center_sk

),

cr as

(select cr_call_center_sk,

sum(cr_return_amount) as returns,

sum(cr_net_loss) as profit_loss

from catalog_returns,

date_dim

where cr_returned_date_sk = d_date_sk

and d_date between cast('1998-08-04' as date)

and (cast('1998-08-04' as date) + 30 days)

group by cr_call_center_sk

),

ws as

( select wp_web_page_sk,

sum(ws_ext_sales_price) as sales,

sum(ws_net_profit) as profit

from web_sales,

date_dim,

web_page

where ws_sold_date_sk = d_date_sk

and d_date between cast('1998-08-04' as date)

and (cast('1998-08-04' as date) + 30 days)

and ws_web_page_sk = wp_web_page_sk

group by wp_web_page_sk),

wr as

(select wp_web_page_sk,

sum(wr_return_amt) as returns,

sum(wr_net_loss) as profit_loss

from web_returns,

date_dim,

web_page

where wr_returned_date_sk = d_date_sk

and d_date between cast('1998-08-04' as date)

and (cast('1998-08-04' as date) + 30 days)

and wr_web_page_sk = wp_web_page_sk

group by wp_web_page_sk)

select * from ( select channel

, id

, sum(sales) as sales

, sum(returns) as returns

, sum(profit) as profit

from

(select 'store channel' as channel

, ss.s_store_sk as id

, sales

, coalesce(returns, 0) as returns

, (profit - coalesce(profit_loss,0)) as profit

from ss left join sr

on ss.s_store_sk = sr.s_store_sk

union all

select 'catalog channel' as channel

, cs_call_center_sk as id

, sales

, returns

, (profit - profit_loss) as profit

from cs

, cr

union all

select 'web channel' as channel

, ws.wp_web_page_sk as id

, sales

, coalesce(returns, 0) returns

, (profit - coalesce(profit_loss,0)) as profit

from ws left join wr

on ws.wp_web_page_sk = wr.wp_web_page_sk

) x

group by rollup (channel, id)

order by channel

,id

) A limit 100;

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 * from ( select

ss_sold_year, ss_item_sk, ss_customer_sk,

round(ss_qty/(coalesce(ws_qty+cs_qty,1)),2) ratio,

ss_qty store_qty, ss_wc store_wholesale_cost, ss_sp store_sales_price,

coalesce(ws_qty,0)+coalesce(cs_qty,0) other_chan_qty,

coalesce(ws_wc,0)+coalesce(cs_wc,0) other_chan_wholesale_cost,

coalesce(ws_sp,0)+coalesce(cs_sp,0) other_chan_sales_price

from ss

left join ws on (ws_sold_year=ss_sold_year and ws_item_sk=ss_item_sk and ws_customer_sk=ss_customer_sk)

left join cs on (cs_sold_year=ss_sold_year and cs_item_sk=cs_item_sk and cs_customer_sk=ss_customer_sk)

where coalesce(ws_qty,0)>0 and coalesce(cs_qty, 0)>0 and ss_sold_year=2000

order by

ss_sold_year, ss_item_sk, ss_customer_sk,

ss_qty desc, ss_wc desc, ss_sp desc,

other_chan_qty,

other_chan_wholesale_cost,

other_chan_sales_price,

round(ss_qty/(coalesce(ws_qty+cs_qty,1)),2)

) A limit 100;

Q79.sql

select * from (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 = 8 or household_demographics.hd_vehicle_count > 0)

and date_dim.d_dow = 1

and date_dim.d_year in (1998,1998+1,1998+2)

and store.s_number_employees between 200 and 295

group by ss_ticket_number,ss_customer_sk,ss_addr_sk,store.s_city) ms,customer

where ss_customer_sk = c_customer_sk

order by c_last_name,c_first_name,substr(s_city,1,30), profit

) A limit 100;

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('1998-08-04' as date)

and (cast('1998-08-04' as date) + 30 days)

and ss_store_sk = s_store_sk

and ss_item_sk = i_item_sk

and i_current_price > 50

and ss_promo_sk = p_promo_sk

and p_channel_tv = 'N'

group by s_store_id)

,

csr as

(select cp_catalog_page_id as catalog_page_id,

sum(cs_ext_sales_price) as sales,

sum(coalesce(cr_return_amount, 0)) as returns,

sum(cs_net_profit - coalesce(cr_net_loss, 0)) as profit

from catalog_sales left outer join catalog_returns on

(cs_item_sk = cr_item_sk and cs_order_number = cr_order_number),

date_dim,

catalog_page,

item,

promotion

where cs_sold_date_sk = d_date_sk

and d_date between cast('1998-08-04' as date)

and (cast('1998-08-04' as date) + 30 days)

and cs_catalog_page_sk = cp_catalog_page_sk

and cs_item_sk = i_item_sk

and i_current_price > 50

and cs_promo_sk = p_promo_sk

and p_channel_tv = 'N'

group by cp_catalog_page_id)

,

wsr as

(select web_site_id,

sum(ws_ext_sales_price) as sales,

sum(coalesce(wr_return_amt, 0)) as returns,

sum(ws_net_profit - coalesce(wr_net_loss, 0)) as profit

from web_sales left outer join web_returns on

(ws_item_sk = wr_item_sk and ws_order_number = wr_order_number),

date_dim,

web_site,

item,

promotion

where ws_sold_date_sk = d_date_sk

and d_date between cast('1998-08-04' as date)

and (cast('1998-08-04' as date) + 30 days)

and ws_web_site_sk = web_site_sk

and ws_item_sk = i_item_sk

and i_current_price > 50

and ws_promo_sk = p_promo_sk

and p_channel_tv = 'N'

group by web_site_id)

select * from ( select channel

, id

, sum(sales) as sales

, sum(returns) as returns

, sum(profit) as profit

from

(select 'store channel' as channel

, 'store' || store_id as id

, sales

, returns

, profit

from ssr

union all

select 'catalog channel' as channel

, 'catalog_page' || catalog_page_id as id

, sales

, returns

, profit

from csr

union all

select 'web channel' as channel

, 'web_site' || web_site_id as id

, sales

, returns

, profit

from wsr

) x

group by rollup (channel, id)

order by channel

,id

) A limit 100;

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 =1998

and cr_returning_addr_sk = ca_address_sk

group by cr_returning_customer_sk

,ca_state )

select * from ( select c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name

,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset

,ca_location_type,ctr_total_return

from customer_total_return ctr1

,customer_address

,customer

where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2

from customer_total_return ctr2

where ctr1.ctr_state = ctr2.ctr_state)

and ca_address_sk = c_current_addr_sk

and ca_state = 'IL'

and ctr1.ctr_customer_sk = c_customer_sk

order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name

,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset

,ca_location_type,ctr_total_return

) A limit 100;

Q82.sql

select * from (select i_item_id

,i_item_desc

,i_current_price

from item, inventory, date_dim, store_sales

where i_current_price between 30 and 30+30

and inv_item_sk = i_item_sk

and d_date_sk=inv_date_sk

and d_date between cast('2002-05-30' as date) and (cast('2002-05-30' as date) + 60 days)

and i_manufact_id in (437,129,727,663)

and inv_quantity_on_hand between 100 and 500

and ss_item_sk = i_item_sk

group by i_item_id,i_item_desc,i_current_price

order by i_item_id

) A limit 100;

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 ('1998-01-02','1998-10-15','1998-11-10')))

and sr_returned_date_sk = d_date_sk

group by i_item_id),

cr_items as

(select i_item_id item_id,

sum(cr_return_quantity) cr_item_qty

from catalog_returns,

item,

date_dim

where cr_item_sk = i_item_sk

and d_date in

(select d_date

from date_dim

where d_week_seq in

(select d_week_seq

from date_dim

where d_date in ('1998-01-02','1998-10-15','1998-11-10')))

and cr_returned_date_sk = d_date_sk

group by i_item_id),

wr_items as

(select i_item_id item_id,

sum(wr_return_quantity) wr_item_qty

from web_returns,

item,

date_dim

where wr_item_sk = i_item_sk

and d_date in

(select d_date

from date_dim

where d_week_seq in

(select d_week_seq

from date_dim

where d_date in ('1998-01-02','1998-10-15','1998-11-10')))

and wr_returned_date_sk = d_date_sk

group by i_item_id)

select * from ( 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

) A limit 100;

Q84.sql

select * from (select c_customer_id as customer_id

, coalesce(c_last_name,'') || ', ' || coalesce(c_first_name,'') as customername

from customer

,customer_address

,customer_demographics

,household_demographics

,income_band

,store_returns

where ca_city = 'Hopewell'

and c_current_addr_sk = ca_address_sk

and ib_lower_bound >= 32287

and ib_upper_bound <= 32287 + 50000

and ib_income_band_sk = hd_income_band_sk

and cd_demo_sk = c_current_cdemo_sk

and hd_demo_sk = c_current_hdemo_sk

and sr_cdemo_sk = cd_demo_sk

order by c_customer_id

) A limit 100;

Q85.sql

select * from (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 = 1998

and cd1.cd_demo_sk = wr_refunded_cdemo_sk

and cd2.cd_demo_sk = wr_returning_cdemo_sk

and ca_address_sk = wr_refunded_addr_sk

and r_reason_sk = wr_reason_sk

and

(

(

cd1.cd_marital_status = 'M'

and

cd1.cd_marital_status = cd2.cd_marital_status

and

cd1.cd_education_status = '4 yr Degree'

and

cd1.cd_education_status = cd2.cd_education_status

and

ws_sales_price between 100.00 and 150.00

)

or

(

cd1.cd_marital_status = 'D'

and

cd1.cd_marital_status = cd2.cd_marital_status

and

cd1.cd_education_status = 'Primary'

and

cd1.cd_education_status = cd2.cd_education_status

and

ws_sales_price between 50.00 and 100.00

)

or

(

cd1.cd_marital_status = 'U'

and

cd1.cd_marital_status = cd2.cd_marital_status

and

cd1.cd_education_status = 'Advanced Degree'

and

cd1.cd_education_status = cd2.cd_education_status

and

ws_sales_price between 150.00 and 200.00

)

)

and

(

(

ca_country = 'United States'

and

ca_state in ('KY', 'GA', 'NM')

and ws_net_profit between 100 and 200

)

or

(

ca_country = 'United States'

and

ca_state in ('MT', 'OR', 'IN')

and ws_net_profit between 150 and 300

)

or

(

ca_country = 'United States'

and

ca_state in ('WI', 'MO', 'WV')

and ws_net_profit between 50 and 250

)

)

group by r_reason_desc

order by substr(r_reason_desc,1,20)

,avg(ws_quantity)

,avg(wr_refunded_cash)

,avg(wr_fee)

) A limit 100;

Q86.sql

select * from (select

sum(ws_net_paid) as total_sum

,i_category

,i_class

,grouping(i_category)+grouping(i_class) as lochierarchy

,rank() over (

partition by grouping(i_category)+grouping(i_class),

case when grouping(i_class) = 0 then i_category end

order by sum(ws_net_paid) desc) as rank_within_parent

from

web_sales

,date_dim d1

,item

where

d1.d_month_seq between 1212 and 1212+11

and d1.d_date_sk = ws_sold_date_sk

and i_item_sk = ws_item_sk

group by rollup(i_category,i_class)

order by

lochierarchy desc,

case when lochierarchy = 0 then i_category end,

rank_within_parent

) A limit 100;

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 1212 and 1212+11)

except

(select distinct c_last_name, c_first_name, d_date

from catalog_sales, date_dim, customer

where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk

and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk

and d_month_seq between 1212 and 1212+11)

except

(select distinct c_last_name, c_first_name, d_date

from web_sales, date_dim, customer

where web_sales.ws_sold_date_sk = date_dim.d_date_sk

and web_sales.ws_bill_customer_sk = customer.c_customer_sk

and d_month_seq between 1212 and 1212+11)

) cool_cust

;

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 = 3 and household_demographics.hd_vehicle_count<=3+2) or

(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or

(household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2))

and store.s_store_name = 'ese') s1,

(select count(*) h9_to_9_30

from store_sales, household_demographics , time_dim, store

where ss_sold_time_sk = time_dim.t_time_sk

and ss_hdemo_sk = household_demographics.hd_demo_sk

and ss_store_sk = s_store_sk

and time_dim.t_hour = 9

and time_dim.t_minute < 30

and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or

(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or

(household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2))

and store.s_store_name = 'ese') s2,

(select count(*) h9_30_to_10

from store_sales, household_demographics , time_dim, store

where ss_sold_time_sk = time_dim.t_time_sk

and ss_hdemo_sk = household_demographics.hd_demo_sk

and ss_store_sk = s_store_sk

and time_dim.t_hour = 9

and time_dim.t_minute >= 30

and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or

(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or

(household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2))

and store.s_store_name = 'ese') s3,

(select count(*) h10_to_10_30

from store_sales, household_demographics , time_dim, store

where ss_sold_time_sk = time_dim.t_time_sk

and ss_hdemo_sk = household_demographics.hd_demo_sk

and ss_store_sk = s_store_sk

and time_dim.t_hour = 10

and time_dim.t_minute < 30

and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or

(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or

(household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2))

and store.s_store_name = 'ese') s4,

(select count(*) h10_30_to_11

from store_sales, household_demographics , time_dim, store

where ss_sold_time_sk = time_dim.t_time_sk

and ss_hdemo_sk = household_demographics.hd_demo_sk

and ss_store_sk = s_store_sk

and time_dim.t_hour = 10

and time_dim.t_minute >= 30

and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or

(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or

(household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2))

and store.s_store_name = 'ese') s5,

(select count(*) h11_to_11_30

from store_sales, household_demographics , time_dim, store

where ss_sold_time_sk = time_dim.t_time_sk

and ss_hdemo_sk = household_demographics.hd_demo_sk

and ss_store_sk = s_store_sk

and time_dim.t_hour = 11

and time_dim.t_minute < 30

and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or

(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or

(household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2))

and store.s_store_name = 'ese') s6,

(select count(*) h11_30_to_12

from store_sales, household_demographics , time_dim, store

where ss_sold_time_sk = time_dim.t_time_sk

and ss_hdemo_sk = household_demographics.hd_demo_sk

and ss_store_sk = s_store_sk

and time_dim.t_hour = 11

and time_dim.t_minute >= 30

and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or

(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or

(household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2))

and store.s_store_name = 'ese') s7,

(select count(*) h12_to_12_30

from store_sales, household_demographics , time_dim, store

where ss_sold_time_sk = time_dim.t_time_sk

and ss_hdemo_sk = household_demographics.hd_demo_sk

and ss_store_sk = s_store_sk

and time_dim.t_hour = 12

and time_dim.t_minute < 30

and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or

(household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or

(household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2))

and store.s_store_name = 'ese') s8

;

Q89.sql

select * from (select *

from(

select i_category, i_class, i_brand,

s_store_name, s_company_name,

d_moy,

sum(ss_sales_price) sum_sales,

avg(sum(ss_sales_price)) over

(partition by i_category, i_brand, s_store_name, s_company_name)

avg_monthly_sales

from item, store_sales, date_dim, store

where ss_item_sk = i_item_sk and

ss_sold_date_sk = d_date_sk and

ss_store_sk = s_store_sk and

d_year in (2000) and

((i_category in ('Home','Books','Electronics') and

i_class in ('wallpaper','parenting','musical')

)

or (i_category in ('Shoes','Jewelry','Men') and

i_class in ('womens','birdal','pants')

))

group by i_category, i_class, i_brand,

s_store_name, s_company_name, d_moy) tmp1

where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end > 0.1

order by sum_sales - avg_monthly_sales, s_store_name

) A limit 100;

Q90.sql

select * from (select cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio

from ( select count(*) amc

from web_sales, household_demographics , time_dim, web_page

where ws_sold_time_sk = time_dim.t_time_sk

and ws_ship_hdemo_sk = household_demographics.hd_demo_sk

and ws_web_page_sk = web_page.wp_web_page_sk

and time_dim.t_hour between 6 and 6+1

and household_demographics.hd_dep_count = 8

and web_page.wp_char_count between 5000 and 5200) at,

( select count(*) pmc

from web_sales, household_demographics , time_dim, web_page

where ws_sold_time_sk = time_dim.t_time_sk

and ws_ship_hdemo_sk = household_demographics.hd_demo_sk

and ws_web_page_sk = web_page.wp_web_page_sk

and time_dim.t_hour between 14 and 14+1

and household_demographics.hd_dep_count = 8

and web_page.wp_char_count between 5000 and 5200) pt

order by am_pm_ratio

) A limit 100;

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 = 1999

and d_moy = 11

and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown')

or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree'))

and hd_buy_potential like '0-500%'

and ca_gmt_offset = -7

group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status

order by sum(cr_net_loss) desc;

Q92.sql

select * from (select

sum(ws_ext_discount_amt) as "Excess Discount Amount"

from

web_sales

,item

,date_dim

where

i_manufact_id = 269

and i_item_sk = ws_item_sk

and d_date between '1998-03-18' and

(cast('1998-03-18' as date) + 90 days)

and d_date_sk = ws_sold_date_sk

and ws_ext_discount_amt

> (

SELECT

1.3 * avg(ws_ext_discount_amt)

FROM

web_sales

,date_dim

WHERE

ws_item_sk = i_item_sk

and d_date between '1998-03-18' and

(cast('1998-03-18' as date) + 90 days)

and d_date_sk = ws_sold_date_sk

)

order by sum(ws_ext_discount_amt)

) A limit 100;

Q93.sql

select * from (select ss_customer_sk

,sum(act_sales) sumsales

from (select ss_item_sk

,ss_ticket_number

,ss_customer_sk

,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price

else (ss_quantity*ss_sales_price) end act_sales

from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk

and sr_ticket_number = ss_ticket_number)

,reason

where sr_reason_sk = r_reason_sk

and r_reason_desc = 'Did not like the warranty') t

group by ss_customer_sk

order by sumsales, ss_customer_sk

) A limit 100;

Q94.sql

select * from (select

count(distinct ws_order_number) as "order count"

,sum(ws_ext_ship_cost) as "total shipping cost"

,sum(ws_net_profit) as "total net profit"

from

web_sales ws1

,date_dim

,customer_address

,web_site

where

d_date between '1999-5-01' and

(cast('1999-5-01' as date) + 60 days)

and ws1.ws_ship_date_sk = d_date_sk

and ws1.ws_ship_addr_sk = ca_address_sk

and ca_state = 'TX'

and ws1.ws_web_site_sk = web_site_sk

and web_company_name = 'pri'

and exists (select *

from web_sales ws2

where ws1.ws_order_number = ws2.ws_order_number

and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)

and not exists(select *

from web_returns wr1

where ws1.ws_order_number = wr1.wr_order_number)

order by count(distinct ws_order_number)

) A limit 100;

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 * from ( select

count(distinct ws_order_number) as "order count"

,sum(ws_ext_ship_cost) as "total shipping cost"

,sum(ws_net_profit) as "total net profit"

from

web_sales ws1

,date_dim

,customer_address

,web_site

where

d_date between '1999-5-01' and

(cast('1999-5-01' as date) + 60 days)

and ws1.ws_ship_date_sk = d_date_sk

and ws1.ws_ship_addr_sk = ca_address_sk

and ca_state = 'TX'

and ws1.ws_web_site_sk = web_site_sk

and web_company_name = 'pri'

and ws1.ws_order_number in (select ws_order_number

from ws_wh)

and ws1.ws_order_number in (select wr_order_number

from web_returns,ws_wh

where wr_order_number = ws_wh.ws_order_number)

order by count(distinct ws_order_number)

) A limit 100;

Q96.sql

select * from (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 = 8

and time_dim.t_minute >= 30

and household_demographics.hd_dep_count = 5

and store.s_store_name = 'ese'

order by count(*)

) A limit 100;

Q97.sql

with ssci as (

select ss_customer_sk customer_sk

,ss_item_sk item_sk

from store_sales,date_dim

where ss_sold_date_sk = d_date_sk

and d_month_seq between 1212 and 1212 + 11

group by ss_customer_sk

,ss_item_sk),

csci as(

select cs_bill_customer_sk customer_sk

,cs_item_sk item_sk

from catalog_sales,date_dim

where cs_sold_date_sk = d_date_sk

and d_month_seq between 1212 and 1212 + 11

group by cs_bill_customer_sk

,cs_item_sk)

select * from ( select sum(case when ssci.customer_sk is not null and csci.customer_sk is null then 1 else 0 end) store_only

,sum(case when ssci.customer_sk is null and csci.customer_sk is not null then 1 else 0 end) catalog_only

,sum(case when ssci.customer_sk is not null and csci.customer_sk is not null then 1 else 0 end) store_and_catalog

from ssci full outer join csci on (ssci.customer_sk=csci.customer_sk

and ssci.item_sk = csci.item_sk)

) A limit 100;

Q98.sql

select i_item_id

,i_item_desc

,i_category

,i_class

,i_current_price

,sum(ss_ext_sales_price) as itemrevenue

,sum(ss_ext_sales_price)*100/sum(sum(ss_ext_sales_price)) over

(partition by i_class) as revenueratio

from

store_sales

,item

,date_dim

where

ss_item_sk = i_item_sk

and i_category in ('Jewelry', 'Sports', 'Books')

and ss_sold_date_sk = d_date_sk

and d_date between cast('2001-01-12' as date)

and (cast('2001-01-12' as date) + 30 days)

group by

i_item_id

,i_item_desc

,i_category

,i_class

,i_current_price

order by

i_category

,i_class

,i_item_id

,i_item_desc

,revenueratio;

Q99.sql

select * from (select

substr(w_warehouse_name,1,20)

,sm_type

,cc_name

,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days"

,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and

(cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days"

,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and

(cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days"

,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and

(cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days"

,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 120) then 1 else 0 end) as ">120 days"

from

catalog_sales

,warehouse

,ship_mode

,call_center

,date_dim

where

d_month_seq between 1212 and 1212 + 11

and cs_ship_date_sk = d_date_sk

and cs_warehouse_sk = w_warehouse_sk

and cs_ship_mode_sk = sm_ship_mode_sk

and cs_call_center_sk = cc_call_center_sk

group by

substr(w_warehouse_name,1,20)

,sm_type

,cc_name

order by substr(w_warehouse_name,1,20)

,sm_type

,cc_name

) A limit 100;

#!/usr/bin/python

#coding=utf-8

import subprocess

import os

import sys

import time

import re

#origin = sys.stdout

#sys.stdout = f

import datetime

#os.system('hive -f q1.sql')

success = 0

#sys.stdout = origin

#f.close()

for i in range(1,99):

start_time = datetime.datetime.now()

print "log%s"%str(i)+"start"

f = open('../sql_1TB/q%s.log'%str(i), 'w')

r = subprocess.Popen('spark-sql --num-executors 36 --master yarn -f q%s.sql' %i, shell=True, stdout = subprocess.PIPE,stderr=subprocess.STDOUT)

output,err_msg = r.communicate()

r.returncode

f.write(output)

f.close()

times = re.findall('(?<=Time taken: ).+?(?= seconds)',str(output))

#if times[1]:

# print 'success'

# os.system("mv ../logs/q%s.log ../logs/q%ssuccess.log "%(str(i),str(i)))

print "log%s"%str(i)+"stop"

time_used = str(datetime.datetime.now()-start_time)

print time_used

if 'Total MapReduce' in output:

print 'sucess!'

success = success +1

print 'sleep 5s'

time.sleep(5)

根据自己文件目录创建log文件