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- -- start query 1 in stream 0 using template query64.tpl and seed 1220860970
- with cs_ui as
- (select cs_item_sk
- ,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund
- from catalog_sales
- ,catalog_returns
- where cs_item_sk = cr_item_sk
- and cs_order_number = cr_order_number
- group by cs_item_sk
- having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)),
- cross_sales as
- (select i_product_name product_name
- ,i_item_sk item_sk
- ,s_store_name store_name
- ,s_zip store_zip
- ,ad1.ca_street_number b_street_number
- ,ad1.ca_street_name b_street_name
- ,ad1.ca_city b_city
- ,ad1.ca_zip b_zip
- ,ad2.ca_street_number c_street_number
- ,ad2.ca_street_name c_street_name
- ,ad2.ca_city c_city
- ,ad2.ca_zip c_zip
- ,d1.d_year as syear
- ,d2.d_year as fsyear
- ,d3.d_year s2year
- ,count(*) cnt
- ,sum(ss_wholesale_cost) s1
- ,sum(ss_list_price) s2
- ,sum(ss_coupon_amt) s3
- FROM store_sales
- ,store_returns
- ,cs_ui
- ,date_dim d1
- ,date_dim d2
- ,date_dim d3
- ,store
- ,customer
- ,customer_demographics cd1
- ,customer_demographics cd2
- ,promotion
- ,household_demographics hd1
- ,household_demographics hd2
- ,customer_address ad1
- ,customer_address ad2
- ,income_band ib1
- ,income_band ib2
- ,item
- WHERE ss_store_sk = s_store_sk AND
- ss_sold_date_sk = d1.d_date_sk AND
- ss_customer_sk = c_customer_sk AND
- ss_cdemo_sk= cd1.cd_demo_sk AND
- ss_hdemo_sk = hd1.hd_demo_sk AND
- ss_addr_sk = ad1.ca_address_sk and
- ss_item_sk = i_item_sk and
- ss_item_sk = sr_item_sk and
- ss_ticket_number = sr_ticket_number and
- ss_item_sk = cs_ui.cs_item_sk and
- c_current_cdemo_sk = cd2.cd_demo_sk AND
- c_current_hdemo_sk = hd2.hd_demo_sk AND
- c_current_addr_sk = ad2.ca_address_sk and
- c_first_sales_date_sk = d2.d_date_sk and
- c_first_shipto_date_sk = d3.d_date_sk and
- ss_promo_sk = p_promo_sk and
- hd1.hd_income_band_sk = ib1.ib_income_band_sk and
- hd2.hd_income_band_sk = ib2.ib_income_band_sk and
- cd1.cd_marital_status <> cd2.cd_marital_status and
- i_color in ('azure','gainsboro','misty','blush','hot','lemon') and
- i_current_price between 80 and 80 + 10 and
- i_current_price between 80 + 1 and 80 + 15
- group by i_product_name
- ,i_item_sk
- ,s_store_name
- ,s_zip
- ,ad1.ca_street_number
- ,ad1.ca_street_name
- ,ad1.ca_city
- ,ad1.ca_zip
- ,ad2.ca_street_number
- ,ad2.ca_street_name
- ,ad2.ca_city
- ,ad2.ca_zip
- ,d1.d_year
- ,d2.d_year
- ,d3.d_year
- )
- select cs1.product_name
- ,cs1.store_name
- ,cs1.store_zip
- ,cs1.b_street_number
- ,cs1.b_street_name
- ,cs1.b_city
- ,cs1.b_zip
- ,cs1.c_street_number
- ,cs1.c_street_name
- ,cs1.c_city
- ,cs1.c_zip
- ,cs1.syear
- ,cs1.cnt
- ,cs1.s1 as s11
- ,cs1.s2 as s21
- ,cs1.s3 as s31
- ,cs2.s1 as s12
- ,cs2.s2 as s22
- ,cs2.s3 as s32
- ,cs2.syear
- ,cs2.cnt
- from cross_sales cs1,cross_sales cs2
- where cs1.item_sk=cs2.item_sk and
- cs1.syear = 1999 and
- cs2.syear = 1999 + 1 and
- cs2.cnt <= cs1.cnt and
- cs1.store_name = cs2.store_name and
- cs1.store_zip = cs2.store_zip
- order by cs1.product_name
- ,cs1.store_name
- ,cs2.cnt
- ,cs1.s1
- ,cs2.s1;
- -- end query 1 in stream 0 using template query64.tpl
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