text: -- start query 1 in stream 0 using template query10a.tpl
  select  
    cd_gender,
    cd_marital_status,
    cd_education_status,
    count(*) cnt1,
    cd_purchase_estimate,
    count(*) cnt2,
    cd_credit_rating,
    count(*) cnt3,
    cd_dep_count,
    count(*) cnt4,
    cd_dep_employed_count,
    count(*) cnt5,
    cd_dep_college_count,
    count(*) cnt6
   from
    customer c,customer_address ca,customer_demographics
   where
    c.c_current_addr_sk = ca.ca_address_sk and
    ca_county in ('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 (
               select ws_bill_customer_sk as customer_sk, d_year,d_moy
               from web_sales, date_dim where ws_sold_date_sk = d_date_sk
                and d_year = 2002 and
                    d_moy between 4 and 4+3
               union all
               select cs_ship_customer_sk as customer_sk, d_year, d_moy
               from catalog_sales, date_dim where cs_sold_date_sk = d_date_sk
                and d_year = 2002 and
                    d_moy between 4 and 4+3
  	     ) x
              where c.c_customer_sk = customer_sk)
   group by cd_gender,
            cd_marital_status,
            cd_education_status,
            cd_purchase_estimate,
            cd_credit_rating,
            cd_dep_count,
            cd_dep_employed_count,
            cd_dep_college_count
   order by cd_gender,
            cd_marital_status,
            cd_education_status,
            cd_purchase_estimate,
            cd_credit_rating,
            cd_dep_count,
            cd_dep_employed_count,
            cd_dep_college_count
  limit 100;
  
  -- end query 1 in stream 0 using template query10a.tpl
  -- start query 1 in stream 0 using template query11.tpl
  with year_total as (
   select c_customer_id customer_id
         ,c_first_name customer_first_name
         ,c_last_name customer_last_name
         ,c_preferred_cust_flag customer_preferred_cust_flag
         ,c_birth_country customer_birth_country
         ,c_login customer_login
         ,c_email_address customer_email_address
         ,d_year dyear
         ,sum(ss_ext_list_price-ss_ext_discount_amt) year_total
         ,'s' sale_type
   from customer
       ,store_sales
       ,date_dim
   where c_customer_sk = ss_customer_sk
     and ss_sold_date_sk = d_date_sk
   group by c_customer_id
           ,c_first_name
           ,c_last_name
           ,c_preferred_cust_flag 
           ,c_birth_country
           ,c_login
           ,c_email_address
           ,d_year 
   union all
   select c_customer_id customer_id
         ,c_first_name customer_first_name
         ,c_last_name customer_last_name
         ,c_preferred_cust_flag customer_preferred_cust_flag
         ,c_birth_country customer_birth_country
         ,c_login customer_login
         ,c_email_address customer_email_address
         ,d_year dyear
         ,sum(ws_ext_list_price-ws_ext_discount_amt) year_total
         ,'w' sale_type
   from customer
       ,web_sales
       ,date_dim
   where c_customer_sk = ws_bill_customer_sk
     and ws_sold_date_sk = d_date_sk
   group by c_customer_id
           ,c_first_name
           ,c_last_name
           ,c_preferred_cust_flag 
           ,c_birth_country
           ,c_login
           ,c_email_address
           ,d_year
           )
    select  
                    t_s_secyear.customer_id
                   ,t_s_secyear.customer_first_name
                   ,t_s_secyear.customer_last_name
                   ,t_s_secyear.customer_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
  limit 100;
  
  -- end query 1 in stream 0 using template query11.tpl
  -- start query 1 in stream 0 using template query12.tpl
  select  i_item_id
        ,i_item_desc 
        ,i_category 
        ,i_class 
        ,i_current_price
        ,sum(ws_ext_sales_price) as itemrevenue 
        ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
            (partition by i_class) as revenueratio
  from	
  	web_sales
      	,item 
      	,date_dim
  where 
  	ws_item_sk = i_item_sk 
    	and i_category in ('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) + interval 30 days)
  group by 
  	i_item_id
          ,i_item_desc 
          ,i_category
          ,i_class
          ,i_current_price
  order by 
  	i_category
          ,i_class
          ,i_item_id
          ,i_item_desc
          ,revenueratio
  limit 100;
  
  -- end query 1 in stream 0 using template query12.tpl
  -- start query 1 in stream 0 using template query13.tpl
  select avg(ss_quantity)
         ,avg(ss_ext_sales_price)
         ,avg(ss_ext_wholesale_cost)
         ,sum(ss_ext_wholesale_cost)
   from store_sales
       ,store
       ,customer_demographics
       ,household_demographics
       ,customer_address
       ,date_dim
   where s_store_sk = ss_store_sk
   and  ss_sold_date_sk = d_date_sk and d_year = 2001
   and((ss_hdemo_sk=hd_demo_sk
    and cd_demo_sk = ss_cdemo_sk
    and cd_marital_status = '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  
       ))
  ;
  
  -- end query 1 in stream 0 using template query13.tpl
  -- start query 1 in stream 0 using template query15.tpl
  select  ca_zip
         ,sum(cs_sales_price)
   from catalog_sales
       ,customer
       ,customer_address
       ,date_dim
   where cs_bill_customer_sk = c_customer_sk
   	and c_current_addr_sk = ca_address_sk 
   	and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
                                     '85392', '85460', '80348', '81792')
   	      or ca_state in ('CA','WA','GA')
   	      or cs_sales_price > 500)
   	and cs_sold_date_sk = d_date_sk
   	and d_qoy = 2 and d_year = 2000
   group by ca_zip
   order by ca_zip
   limit 100;
  
  -- end query 1 in stream 0 using template query15.tpl
  -- start query 1 in stream 0 using template query16.tpl
  select  
     count(distinct cs_order_number) as "order count"
    ,sum(cs_ext_ship_cost) as "total shipping cost"
    ,sum(cs_net_profit) as "total net profit"
  from
     catalog_sales cs1
    ,date_dim
    ,customer_address
    ,call_center
  where
      d_date between cast('1999-4-01' as date) and 
             (cast('1999-4-01' as date) + interval 60 days)
  and cs1.cs_ship_date_sk = d_date_sk
  and cs1.cs_ship_addr_sk = ca_address_sk
  and ca_state = 'IA'
  and cs1.cs_call_center_sk = cc_call_center_sk
  and cc_county in ('Mobile County','Maverick County','Huron County','Kittitas County',
                    'Fairfield County'
  )
  and exists (select *
              from catalog_sales cs2
              where cs1.cs_order_number = cs2.cs_order_number
                and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
  and not exists(select *
                 from catalog_returns cr1
                 where cs1.cs_order_number = cr1.cr_order_number)
  order by count(distinct cs_order_number)
  limit 100;
  
  -- end query 1 in stream 0 using template query16.tpl
  -- start query 1 in stream 0 using template query17.tpl
  select  i_item_id
         ,i_item_desc
         ,s_state
         ,count(ss_quantity) as store_sales_quantitycount
         ,avg(ss_quantity) as store_sales_quantityave
         ,stddev_samp(ss_quantity) as store_sales_quantitystdev
         ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov
         ,count(sr_return_quantity) as store_returns_quantitycount
         ,avg(sr_return_quantity) as store_returns_quantityave
         ,stddev_samp(sr_return_quantity) as store_returns_quantitystdev
         ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov
         ,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave
         ,stddev_samp(cs_quantity) as catalog_sales_quantitystdev
         ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov
   from store_sales
       ,store_returns
       ,catalog_sales
       ,date_dim d1
       ,date_dim d2
       ,date_dim d3
       ,store
       ,item
   where d1.d_quarter_name = '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
  limit 100;
  
  -- end query 1 in stream 0 using template query17.tpl
  -- start query 1 in stream 0 using template query18a.tpl
  with results as
   (select i_item_id,
          ca_country,
          ca_state, 
          ca_county,
          cast(cs_quantity as decimal(12,2)) agg1,
          cast(cs_list_price as decimal(12,2)) agg2,
          cast(cs_coupon_amt as decimal(12,2)) agg3,
          cast(cs_sales_price as decimal(12,2)) agg4,
          cast(cs_net_profit as decimal(12,2)) agg5,
          cast(c_birth_year as decimal(12,2)) agg6,
          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')
   )
    select  i_item_id, ca_country, ca_state, ca_county, agg1, agg2, agg3, agg4, agg5, agg6, agg7
   from (
   	select i_item_id, ca_country, ca_state, ca_county, avg(agg1) agg1, 
   		avg(agg2) agg2, avg(agg3) agg3, avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7 
   	from results
  	group by i_item_id, ca_country, ca_state, ca_county
   	union all
   	select i_item_id, ca_country, ca_state, NULL as county, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
  		avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7 
  	from results
  	group by i_item_id, ca_country, ca_state
   	union all
  	select i_item_id, ca_country, NULL as ca_state, NULL as county, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
  		avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7 
  	from results
   	group by i_item_id, ca_country
   	union all
   	select i_item_id, NULL as ca_country, NULL as ca_state, NULL as county, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
  		avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7 
  	from results
  	group by i_item_id
  	union all
  	select NULL AS i_item_id, NULL as ca_country, NULL as ca_state, NULL as county, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
  		avg(agg4) agg4, avg(agg5) agg5, avg(agg6) agg6, avg(agg7) agg7 
  	from results
   ) foo
   order by ca_country, ca_state, ca_county, i_item_id
   limit 100;
  
  -- end query 1 in stream 0 using template query18a.tpl
  -- start query 1 in stream 0 using template query19.tpl
  select  i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
   	sum(ss_ext_sales_price) ext_price
   from date_dim, store_sales, item,customer,customer_address,store
   where d_date_sk = ss_sold_date_sk
     and ss_item_sk = i_item_sk
     and i_manager_id=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
  limit 100 ;
  
  -- end query 1 in stream 0 using template query19.tpl
  -- start query 1 in stream 0 using template query1.tpl
  with customer_total_return as
  (select sr_customer_sk as ctr_customer_sk
  ,sr_store_sk as ctr_store_sk
  ,sum(SR_FEE) as ctr_total_return
  from store_returns
  ,date_dim
  where sr_returned_date_sk = d_date_sk
  and d_year =2000
  group by sr_customer_sk
  ,sr_store_sk)
   select  c_customer_id
  from customer_total_return ctr1
  ,store
  ,customer
  where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
  from customer_total_return ctr2
  where ctr1.ctr_store_sk = ctr2.ctr_store_sk)
  and s_store_sk = ctr1.ctr_store_sk
  and s_state = 'NM'
  and ctr1.ctr_customer_sk = c_customer_sk
  order by c_customer_id
  limit 100;
  
  -- end query 1 in stream 0 using template query1.tpl
  -- start query 1 in stream 0 using template query20.tpl
  select  i_item_id
         ,i_item_desc 
         ,i_category 
         ,i_class 
         ,i_current_price
         ,sum(cs_ext_sales_price) as itemrevenue 
         ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over
             (partition by i_class) as revenueratio
   from	catalog_sales
       ,item 
       ,date_dim
   where cs_item_sk = i_item_sk 
     and i_category in ('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) + interval 30 days)
   group by i_item_id
           ,i_item_desc 
           ,i_category
           ,i_class
           ,i_current_price
   order by i_category
           ,i_class
           ,i_item_id
           ,i_item_desc
           ,revenueratio
  limit 100;
  
  -- end query 1 in stream 0 using template query20.tpl
  -- start query 1 in stream 0 using template query21.tpl
  select  *
   from(select w_warehouse_name
              ,i_item_id
              ,sum(case when d_date < cast ('1998-04-08' as date)
  	                then inv_quantity_on_hand 
                        else 0 end) as inv_before
              ,sum(case when d_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) - interval 30 days)
                      and (cast ('1998-04-08' as date) + interval 30 days)
     group by w_warehouse_name, i_item_id) x
   where (case when inv_before > 0 
               then inv_after / inv_before 
               else null
               end) between 2.0/3.0 and 3.0/2.0
   order by w_warehouse_name
           ,i_item_id
   limit 100;
  
  -- end query 1 in stream 0 using template query21.tpl
  -- start query 1 in stream 0 using template query22a.tpl
  with results as 
  (select  i_product_name
               ,i_brand
               ,i_class
               ,i_category
               ,inv_quantity_on_hand qoh
         from inventory
             ,date_dim
             ,item
             ,warehouse
         where  inv_date_sk=d_date_sk
                and inv_item_sk=i_item_sk
                and inv_warehouse_sk = w_warehouse_sk
                and d_month_seq between 1212 and 1212 + 11
  ),
  results_rollup as 
  (select i_product_name, i_brand, i_class, i_category,avg(qoh) qoh 
  from results 
  group by i_product_name,i_brand,i_class,i_category
  union all 
  select i_product_name, i_brand, i_class, null i_category,avg(qoh) qoh 
  from results
  group by i_product_name,i_brand,i_class
  union all 
  select i_product_name, i_brand, null i_class, null i_category,avg(qoh) qoh 
  from results
  group by i_product_name,i_brand
  union all 
  select i_product_name, null i_brand, null i_class, null i_category,avg(qoh)  qoh 
  from results
  group by i_product_name
  union all 
  select null i_product_name, null i_brand, null i_class, null i_category,avg(qoh) qoh 
  from results)
   select  i_product_name, i_brand, i_class, i_category,qoh
        from results_rollup
        order by qoh, i_product_name, i_brand, i_class, i_category
  limit 100;
  
  -- end query 1 in stream 0 using template query22a.tpl
  -- start query 1 in stream 0 using template query25.tpl
  select  
   i_item_id
   ,i_item_desc
   ,s_store_id
   ,s_store_name
   ,sum(ss_net_profit) as store_sales_profit
   ,sum(sr_net_loss) as store_returns_loss
   ,sum(cs_net_profit) as catalog_sales_profit
   from
   store_sales
   ,store_returns
   ,catalog_sales
   ,date_dim d1
   ,date_dim d2
   ,date_dim d3
   ,store
   ,item
   where
   d1.d_moy = 4
   and d1.d_year = 2000
   and d1.d_date_sk = ss_sold_date_sk
   and i_item_sk = ss_item_sk
   and s_store_sk = ss_store_sk
   and ss_customer_sk = sr_customer_sk
   and ss_item_sk = sr_item_sk
   and ss_ticket_number = sr_ticket_number
   and sr_returned_date_sk = d2.d_date_sk
   and d2.d_moy               between 4 and  10
   and d2.d_year              = 2000
   and sr_customer_sk = cs_bill_customer_sk
   and sr_item_sk = cs_item_sk
   and cs_sold_date_sk = d3.d_date_sk
   and d3.d_moy               between 4 and  10 
   and d3.d_year              = 2000
   group by
   i_item_id
   ,i_item_desc
   ,s_store_id
   ,s_store_name
   order by
   i_item_id
   ,i_item_desc
   ,s_store_id
   ,s_store_name
   limit 100;
  
  -- end query 1 in stream 0 using template query25.tpl
  -- start query 1 in stream 0 using template query26.tpl
  select  i_item_id, 
          avg(cs_quantity) agg1,
          avg(cs_list_price) agg2,
          avg(cs_coupon_amt) agg3,
          avg(cs_sales_price) agg4 
   from catalog_sales, customer_demographics, date_dim, item, promotion
   where cs_sold_date_sk = d_date_sk and
         cs_item_sk = i_item_sk and
         cs_bill_cdemo_sk = cd_demo_sk and
         cs_promo_sk = p_promo_sk and
         cd_gender = 'F' and 
         cd_marital_status = '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
   limit 100;
  
  -- end query 1 in stream 0 using template query26.tpl
  -- start query 1 in stream 0 using template query27a.tpl
  with results as
   (select i_item_id,
          s_state, 0 as g_state,
          ss_quantity agg1,
          ss_list_price agg2,
          ss_coupon_amt agg3,
          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 = 'D' and
         cd_education_status = 'Unknown' and
         d_year = 1998 and
         s_state in ('KS','AL', 'MN', 'AL', 'SC', 'VT')
   )
  
    select  i_item_id,
    s_state, g_state, agg1, agg2, agg3, agg4
     from (
          select i_item_id, s_state, 0 as g_state, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3, avg(agg4) agg4 from results
          group by i_item_id, s_state
           union all
          select i_item_id, NULL AS s_state, 1 AS g_state, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
           avg(agg4) agg4 from results
          group by i_item_id
           union all
          select NULL AS i_item_id, NULL as s_state, 1 as g_state, avg(agg1) agg1, avg(agg2) agg2, avg(agg3) agg3,
           avg(agg4) agg4 from results
          ) foo
    order by i_item_id, s_state
   limit 100;
  
  -- end query 1 in stream 0 using template query27a.tpl
  -- start query 1 in stream 0 using template query28.tpl
  select  *
  from (select avg(ss_list_price) B1_LP
              ,count(ss_list_price) B1_CNT
              ,count(distinct ss_list_price) B1_CNTD
        from store_sales
        where ss_quantity between 0 and 5
          and (ss_list_price between 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
  limit 100;
  
  -- end query 1 in stream 0 using template query28.tpl
  -- start query 1 in stream 0 using template query29.tpl
  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
   limit 100;
  
  -- end query 1 in stream 0 using template query29.tpl
  -- start query 1 in stream 0 using template query2.tpl
  with wscs as
   (select sold_date_sk
          ,sales_price
    from  (select ws_sold_date_sk sold_date_sk
                ,ws_ext_sales_price sales_price
          from web_sales 
          union all
          select cs_sold_date_sk sold_date_sk
                ,cs_ext_sales_price sales_price
          from catalog_sales) x),
   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;
  
  -- end query 1 in stream 0 using template query2.tpl
  -- start query 1 in stream 0 using template query30.tpl
  with customer_total_return as
   (select wr_returning_customer_sk as ctr_customer_sk
          ,ca_state as ctr_state, 
   	sum(wr_return_amt) as ctr_total_return
   from web_returns
       ,date_dim
       ,customer_address
   where wr_returned_date_sk = d_date_sk 
     and d_year =2002
     and wr_returning_addr_sk = ca_address_sk 
   group by wr_returning_customer_sk
           ,ca_state)
    select  c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
         ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
         ,c_last_review_date_sk,ctr_total_return
   from customer_total_return ctr1
       ,customer_address
       ,customer
   where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
   			  from customer_total_return ctr2 
                    	  where ctr1.ctr_state = ctr2.ctr_state)
         and ca_address_sk = c_current_addr_sk
         and ca_state = '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_sk,ctr_total_return
  limit 100;
  
  -- end query 1 in stream 0 using template query30.tpl
  -- start query 1 in stream 0 using template query31.tpl
  with ss as
   (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
   from store_sales,date_dim,customer_address
   where ss_sold_date_sk = d_date_sk
    and ss_addr_sk=ca_address_sk
   group by ca_county,d_qoy, d_year),
   ws as
   (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales
   from web_sales,date_dim,customer_address
   where ws_sold_date_sk = d_date_sk
    and ws_bill_addr_sk=ca_address_sk
   group by ca_county,d_qoy, d_year)
   select 
          ss1.ca_county
         ,ss1.d_year
         ,ws2.web_sales/ws1.web_sales web_q1_q2_increase
         ,ss2.store_sales/ss1.store_sales store_q1_q2_increase
         ,ws3.web_sales/ws2.web_sales web_q2_q3_increase
         ,ss3.store_sales/ss2.store_sales store_q2_q3_increase
   from
          ss ss1
         ,ss ss2
         ,ss ss3
         ,ws ws1
         ,ws ws2
         ,ws ws3
   where
      ss1.d_qoy = 1
      and ss1.d_year = 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;
  
  -- end query 1 in stream 0 using template query31.tpl
  -- start query 1 in stream 0 using template query32.tpl
  select  sum(cs_ext_discount_amt)  as "excess discount amount" 
  from 
     catalog_sales 
     ,item 
     ,date_dim
  where
  i_manufact_id = 269
  and i_item_sk = cs_item_sk 
  and d_date between cast('1998-03-18' as date) and
          (cast('1998-03-18' as date) + interval 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 cast('1998-03-18' as date) and
                               (cast('1998-03-18' as date) + interval 90 days)
            and d_date_sk = cs_sold_date_sk 
        ) 
  limit 100;
  
  -- end query 1 in stream 0 using template query32.tpl
  -- start query 1 in stream 0 using template query33.tpl
  with ss as (
   select
            i_manufact_id,sum(ss_ext_sales_price) total_sales
   from
   	store_sales,
   	date_dim,
           customer_address,
           item
   where
           i_manufact_id in (select
    i_manufact_id
  from
   item
  where i_category in ('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           = -6 
   group by i_manufact_id),
   cs as (
   select
            i_manufact_id,sum(cs_ext_sales_price) total_sales
   from
   	catalog_sales,
   	date_dim,
           customer_address,
           item
   where
           i_manufact_id               in (select
    i_manufact_id
  from
   item
  where i_category in ('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           = -6 
   group by i_manufact_id),
   ws as (
   select
            i_manufact_id,sum(ws_ext_sales_price) total_sales
   from
   	web_sales,
   	date_dim,
           customer_address,
           item
   where
           i_manufact_id               in (select
    i_manufact_id
  from
   item
  where i_category in ('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           = -6
   group by i_manufact_id)
    select  i_manufact_id ,sum(total_sales) total_sales
   from  (select * from ss 
          union all
          select * from cs 
          union all
          select * from ws) tmp1
   group by i_manufact_id
   order by total_sales
  limit 100;
  
  -- end query 1 in stream 0 using template query33.tpl
  -- start query 1 in stream 0 using template query34.tpl
  select c_last_name
         ,c_first_name
         ,c_salutation
         ,c_preferred_cust_flag
         ,ss_ticket_number
         ,cnt from
     (select ss_ticket_number
            ,ss_customer_sk
            ,count(*) cnt
      from store_sales,date_dim,store,household_demographics
      where store_sales.ss_sold_date_sk = date_dim.d_date_sk
      and store_sales.ss_store_sk = store.s_store_sk  
      and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
      and (date_dim.d_dom between 1 and 3 or date_dim.d_dom between 25 and 28)
      and (household_demographics.hd_buy_potential = '1001-5000' or
           household_demographics.hd_buy_potential = '5001-10000')
      and household_demographics.hd_vehicle_count > 0
      and (case when household_demographics.hd_vehicle_count > 0 
  	then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count 
  	else null 
  	end)  > 1.2
      and date_dim.d_year in (1998,1998+1,1998+2)
      and store.s_county in ('Kittitas County','Adams County','Richland County','Furnas County',
                             'Orange County','Appanoose County','Franklin Parish','Tehama County')
      group by ss_ticket_number,ss_customer_sk) dn,customer
      where ss_customer_sk = c_customer_sk
        and cnt between 15 and 20
      order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc, ss_ticket_number;
  
  -- end query 1 in stream 0 using template query34.tpl
  -- start query 1 in stream 0 using template query35a.tpl
  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
  	   (select ws_bill_customer_sk customsk
              from web_sales,date_dim
              where 
                    ws_sold_date_sk = d_date_sk and
                    d_year = 1999 and
                    d_qoy < 4
  	    union all 
      	    select cs_ship_customer_sk customsk
              from catalog_sales,date_dim
              where 
                    cs_sold_date_sk = d_date_sk and
                    d_year = 1999 and
                    d_qoy < 4)x 
             where x.customsk = c.c_customer_sk)
   group by ca_state,
            cd_gender,
            cd_marital_status,
            cd_dep_count,
            cd_dep_employed_count,
            cd_dep_college_count
   order by ca_state,
            cd_gender,
            cd_marital_status,
            cd_dep_count,
            cd_dep_employed_count,
            cd_dep_college_count
   limit 100;
  
  -- end query 1 in stream 0 using template query35a.tpl
  -- start query 1 in stream 0 using template query36a.tpl
  with results as
   (select 
      sum(ss_net_profit) as ss_net_profit, sum(ss_ext_sales_price) as ss_ext_sales_price,
      sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin
     ,i_category
     ,i_class
     ,0 as g_category, 0 as g_class
   from
      store_sales
     ,date_dim       d1
     ,item
     ,store
   where
      d1.d_year = 2001 
      and d1.d_date_sk = ss_sold_date_sk
      and i_item_sk  = ss_item_sk 
      and s_store_sk  = ss_store_sk
      and s_state in ('KS','AL','MN','CO',
                   'OH','VT','TN','KS')
   group by i_category,i_class)
   ,
   results_rollup as
   (select gross_margin ,i_category ,i_class,0 as t_category, 0 as t_class, 0 as lochierarchy from results
   union
   select sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin,
     i_category, NULL AS i_class, 0 as t_category, 1 as t_class, 1 as lochierarchy from results group by i_category
   union
   select sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin,
     NULL AS i_category ,NULL AS i_class, 1 as t_category, 1 as t_class, 2 as lochierarchy from results)
    select 
    gross_margin ,i_category ,i_class, lochierarchy,rank() over (
   	partition by lochierarchy, case when t_class = 0 then i_category end 
   	order by gross_margin asc) as rank_within_parent
   from results_rollup
   order by
     lochierarchy desc
    ,case when lochierarchy = 0 then i_category end
    ,rank_within_parent
    limit 100;
  
  -- end query 1 in stream 0 using template query36a.tpl
  -- start query 1 in stream 0 using template query37.tpl
  select  i_item_id
         ,i_item_desc
         ,i_current_price
   from item, inventory, date_dim, catalog_sales
   where i_current_price between 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) + interval 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
   limit 100;
  
  -- end query 1 in stream 0 using template query37.tpl
  -- start query 1 in stream 0 using template query39.tpl
  with inv as
  (select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
         ,stdev,mean, case mean when 0 then null else stdev/mean end cov
   from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
              ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
        from inventory
            ,item
            ,warehouse
            ,date_dim
        where inv_item_sk = i_item_sk
          and inv_warehouse_sk = w_warehouse_sk
          and inv_date_sk = d_date_sk
          and d_year =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
  ;
  
  -- end query 1 in stream 0 using template query39.tpl
  -- start query 1 in stream 0 using template query3.tpl
  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
   limit 100;
  
  -- end query 1 in stream 0 using template query3.tpl
  -- start query 1 in stream 0 using template query40.tpl
  select  
     w_state
    ,i_item_id
    ,sum(case when d_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 d_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) - interval 30 days)
                  and (cast ('1998-04-08' as date) + interval 30 days) 
   group by
      w_state,i_item_id
   order by w_state,i_item_id
  limit 100;
  
  -- end query 1 in stream 0 using template query40.tpl
  -- start query 1 in stream 0 using template query41.tpl
  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
   limit 100;
  
  -- end query 1 in stream 0 using template query41.tpl
  -- start query 1 in stream 0 using template query42.tpl
  select  dt.d_year
   	,item.i_category_id
   	,item.i_category
   	,sum(ss_ext_sales_price)
   from 	date_dim dt
   	,store_sales
   	,item
   where dt.d_date_sk = store_sales.ss_sold_date_sk
   	and store_sales.ss_item_sk = item.i_item_sk
   	and item.i_manager_id = 1  	
   	and dt.d_moy=12
   	and dt.d_year=1998
   group by 	dt.d_year
   		,item.i_category_id
   		,item.i_category
   order by       sum(ss_ext_sales_price) desc,dt.d_year
   		,item.i_category_id
   		,item.i_category
  limit 100 ;
  
  -- end query 1 in stream 0 using template query42.tpl
  -- start query 1 in stream 0 using template query43.tpl
  select  s_store_name, s_store_id,
          sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
          sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
          sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
          sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
          sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
          sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
          sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
   from date_dim, store_sales, store
   where d_date_sk = ss_sold_date_sk and
         s_store_sk = ss_store_sk and
         s_gmt_offset = -6 and
         d_year = 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
   limit 100;
  
  -- end query 1 in stream 0 using template query43.tpl
  -- start query 1 in stream 0 using template query46.tpl
  select  c_last_name
         ,c_first_name
         ,ca_city
         ,bought_city
         ,ss_ticket_number
         ,amt,profit 
   from
     (select ss_ticket_number
            ,ss_customer_sk
            ,ca_city bought_city
            ,sum(ss_coupon_amt) amt
            ,sum(ss_net_profit) profit
      from store_sales,date_dim,store,household_demographics,customer_address 
      where store_sales.ss_sold_date_sk = date_dim.d_date_sk
      and store_sales.ss_store_sk = store.s_store_sk  
      and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
      and store_sales.ss_addr_sk = customer_address.ca_address_sk
      and (household_demographics.hd_dep_count = 4 or
           household_demographics.hd_vehicle_count= 2)
      and date_dim.d_dow in (6,0)
      and date_dim.d_year in (1998,1998+1,1998+2) 
      and store.s_city in ('Rosedale','Bethlehem','Clinton','Clifton','Springfield') 
      group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr
      where ss_customer_sk = c_customer_sk
        and customer.c_current_addr_sk = current_addr.ca_address_sk
        and current_addr.ca_city <> bought_city
    order by c_last_name
            ,c_first_name
            ,ca_city
            ,bought_city
            ,ss_ticket_number
    limit 100;
  
  -- end query 1 in stream 0 using template query46.tpl
  -- start query 1 in stream 0 using template query47.tpl
  with v1 as(
   select i_category, i_brand,
          s_store_name, s_company_name,
          d_year, d_moy,
          sum(ss_sales_price) sum_sales,
          avg(sum(ss_sales_price)) over
            (partition by i_category, i_brand,
                       s_store_name, s_company_name, d_year)
            avg_monthly_sales,
          rank() over
            (partition by i_category, i_brand,
                       s_store_name, s_company_name
             order by d_year, d_moy) rn
   from item, store_sales, date_dim, store
   where ss_item_sk = i_item_sk and
         ss_sold_date_sk = d_date_sk and
         ss_store_sk = s_store_sk and
         (
           d_year = 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.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.s_store_name = v1_lag.s_store_name and
         v1.s_store_name = v1_lead.s_store_name and
         v1.s_company_name = v1_lag.s_company_name and
         v1.s_company_name = v1_lead.s_company_name and
         v1.rn = v1_lag.rn + 1 and
         v1.rn = v1_lead.rn - 1)
    select  *
   from v2
   where  d_year = 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, nsum
   limit 100;
  
  -- end query 1 in stream 0 using template query47.tpl
  -- start query 1 in stream 0 using template query48.tpl
  select sum (ss_quantity)
   from store_sales, store, customer_demographics, customer_address, date_dim
   where s_store_sk = ss_store_sk
   and  ss_sold_date_sk = d_date_sk and d_year = 1998
   and  
   (
    (
     cd_demo_sk = ss_cdemo_sk
     and 
     cd_marital_status = 'M'
     and 
     cd_education_status = '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 
    )
   )
  ;
  
  -- end query 1 in stream 0 using template query48.tpl
  -- start query 1 in stream 0 using template query49.tpl
  select  channel, item, return_ratio, return_rank, currency_rank from
   (select
   'web' as channel
   ,web.item
   ,web.return_ratio
   ,web.return_rank
   ,web.currency_rank
   from (
   	select 
   	 item
   	,return_ratio
   	,currency_ratio
   	,rank() over (order by return_ratio) as return_rank
   	,rank() over (order by currency_ratio) as currency_rank
   	from
   	(	select ws.ws_item_sk as item
   		,(cast(sum(coalesce(wr.wr_return_quantity,0)) as decimal(15,4))/
   		cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as return_ratio
   		,(cast(sum(coalesce(wr.wr_return_amt,0)) as decimal(15,4))/
   		cast(sum(coalesce(ws.ws_net_paid,0)) as decimal(15,4) )) as currency_ratio
   		from 
   		 web_sales ws left outer join web_returns wr 
   			on (ws.ws_order_number = wr.wr_order_number and 
   			ws.ws_item_sk = wr.wr_item_sk)
                   ,date_dim
   		where 
   			wr.wr_return_amt > 10000 
   			and ws.ws_net_profit > 1
                           and ws.ws_net_paid > 0
                           and ws.ws_quantity > 0
                           and ws_sold_date_sk = d_date_sk
                           and d_year = 2000
                           and d_moy = 12
   		group by ws.ws_item_sk
   	) in_web
   ) web
   where 
   (
   web.return_rank <= 10
   or
   web.currency_rank <= 10
   )
   union
   select 
   'catalog' as channel
   ,catalog.item
   ,catalog.return_ratio
   ,catalog.return_rank
   ,catalog.currency_rank
   from (
   	select 
   	 item
   	,return_ratio
   	,currency_ratio
   	,rank() over (order by return_ratio) as return_rank
   	,rank() over (order by currency_ratio) as currency_rank
   	from
   	(	select 
   		cs.cs_item_sk as item
   		,(cast(sum(coalesce(cr.cr_return_quantity,0)) as decimal(15,4))/
   		cast(sum(coalesce(cs.cs_quantity,0)) as decimal(15,4) )) as return_ratio
   		,(cast(sum(coalesce(cr.cr_return_amount,0)) as decimal(15,4))/
   		cast(sum(coalesce(cs.cs_net_paid,0)) as decimal(15,4) )) as currency_ratio
   		from 
   		catalog_sales cs left outer join catalog_returns cr
   			on (cs.cs_order_number = cr.cr_order_number and 
   			cs.cs_item_sk = cr.cr_item_sk)
                  ,date_dim
   		where 
   			cr.cr_return_amount > 10000 
   			and cs.cs_net_profit > 1
                           and cs.cs_net_paid > 0
                           and cs.cs_quantity > 0
                           and cs_sold_date_sk = d_date_sk
                           and d_year = 2000
                           and d_moy = 12
                   group by cs.cs_item_sk
   	) in_cat
   ) catalog
   where 
   (
   catalog.return_rank <= 10
   or
   catalog.currency_rank <=10
   )
   union
   select 
   'store' as channel
   ,store.item
   ,store.return_ratio
   ,store.return_rank
   ,store.currency_rank
   from (
   	select 
   	 item
   	,return_ratio
   	,currency_ratio
   	,rank() over (order by return_ratio) as return_rank
   	,rank() over (order by currency_ratio) as currency_rank
   	from
   	(	select sts.ss_item_sk as item
   		,(cast(sum(coalesce(sr.sr_return_quantity,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) as decimal(15,4) )) as return_ratio
   		,(cast(sum(coalesce(sr.sr_return_amt,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_net_paid,0)) as decimal(15,4) )) as currency_ratio
   		from 
   		store_sales sts left outer join store_returns sr
   			on (sts.ss_ticket_number = sr.sr_ticket_number and sts.ss_item_sk = sr.sr_item_sk)
                  ,date_dim
   		where 
   			sr.sr_return_amt > 10000 
   			and sts.ss_net_profit > 1
                           and sts.ss_net_paid > 0 
                           and sts.ss_quantity > 0
                           and ss_sold_date_sk = d_date_sk
                           and d_year = 2000
                           and d_moy = 12
   		group by sts.ss_item_sk
   	) in_store
   ) store
   where  (
   store.return_rank <= 10
   or 
   store.currency_rank <= 10
   )
   ) x
   order by 1,4,5,2
   limit 100;
  
  -- end query 1 in stream 0 using template query49.tpl
  -- start query 1 in stream 0 using template query4.tpl
  with year_total as (
   select c_customer_id customer_id
         ,c_first_name customer_first_name
         ,c_last_name customer_last_name
         ,c_preferred_cust_flag customer_preferred_cust_flag
         ,c_birth_country customer_birth_country
         ,c_login customer_login
         ,c_email_address customer_email_address
         ,d_year dyear
         ,sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total
         ,'s' sale_type
   from customer
       ,store_sales
       ,date_dim
   where c_customer_sk = ss_customer_sk
     and ss_sold_date_sk = d_date_sk
   group by c_customer_id
           ,c_first_name
           ,c_last_name
           ,c_preferred_cust_flag
           ,c_birth_country
           ,c_login
           ,c_email_address
           ,d_year
   union all
   select c_customer_id customer_id
         ,c_first_name customer_first_name
         ,c_last_name customer_last_name
         ,c_preferred_cust_flag customer_preferred_cust_flag
         ,c_birth_country customer_birth_country
         ,c_login customer_login
         ,c_email_address customer_email_address
         ,d_year dyear
         ,sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2) ) year_total
         ,'c' sale_type
   from customer
       ,catalog_sales
       ,date_dim
   where c_customer_sk = cs_bill_customer_sk
     and cs_sold_date_sk = d_date_sk
   group by c_customer_id
           ,c_first_name
           ,c_last_name
           ,c_preferred_cust_flag
           ,c_birth_country
           ,c_login
           ,c_email_address
           ,d_year
  union all
   select c_customer_id customer_id
         ,c_first_name customer_first_name
         ,c_last_name customer_last_name
         ,c_preferred_cust_flag customer_preferred_cust_flag
         ,c_birth_country customer_birth_country
         ,c_login customer_login
         ,c_email_address customer_email_address
         ,d_year dyear
         ,sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2) ) year_total
         ,'w' sale_type
   from customer
       ,web_sales
       ,date_dim
   where c_customer_sk = ws_bill_customer_sk
     and ws_sold_date_sk = d_date_sk
   group by c_customer_id
           ,c_first_name
           ,c_last_name
           ,c_preferred_cust_flag
           ,c_birth_country
           ,c_login
           ,c_email_address
           ,d_year
           )
    select  
                    t_s_secyear.customer_id
                   ,t_s_secyear.customer_first_name
                   ,t_s_secyear.customer_last_name
                   ,t_s_secyear.customer_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
  limit 100;
  
  -- end query 1 in stream 0 using template query4.tpl
  -- start query 1 in stream 0 using template query50.tpl
  select  
     s_store_name
    ,s_company_id
    ,s_street_number
    ,s_street_name
    ,s_street_type
    ,s_suite_number
    ,s_city
    ,s_county
    ,s_state
    ,s_zip
    ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
    ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and 
                   (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
    ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and 
                   (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
    ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
                   (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
    ,sum(case when (sr_returned_date_sk - ss_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
  from
     store_sales
    ,store_returns
    ,store
    ,date_dim d1
    ,date_dim d2
  where
      d2.d_year = 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
  limit 100;
  
  -- end query 1 in stream 0 using template query50.tpl
  -- start query 1 in stream 0 using template query51.tpl
  WITH web_v1 as (
  select
    ws_item_sk item_sk, d_date,
    sum(sum(ws_sales_price))
        over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
  from web_sales
      ,date_dim
  where ws_sold_date_sk=d_date_sk
    and d_month_seq between 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 item_sk
       ,d_date
       ,web_sales
       ,store_sales
       ,max(web_sales)
           over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative
       ,max(store_sales)
           over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative
       from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
                   ,case when web.d_date is not null then web.d_date else store.d_date end d_date
                   ,web.cume_sales web_sales
                   ,store.cume_sales store_sales
             from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
                                                            and web.d_date = store.d_date)
            )x )y
  where web_cumulative > store_cumulative
  order by item_sk
          ,d_date
  limit 100;
  
  -- end query 1 in stream 0 using template query51.tpl
  -- start query 1 in stream 0 using template query52.tpl
  select  dt.d_year
   	,item.i_brand_id brand_id
   	,item.i_brand brand
   	,sum(ss_ext_sales_price) ext_price
   from date_dim dt
       ,store_sales
       ,item
   where dt.d_date_sk = store_sales.ss_sold_date_sk
      and store_sales.ss_item_sk = item.i_item_sk
      and item.i_manager_id = 1
      and dt.d_moy=12
      and dt.d_year=1998
   group by dt.d_year
   	,item.i_brand
   	,item.i_brand_id
   order by dt.d_year
   	,ext_price desc
   	,brand_id
  limit 100 ;
  
  -- end query 1 in stream 0 using template query52.tpl
  -- start query 1 in stream 0 using template query53.tpl
  select  * from 
  (select i_manufact_id,
  sum(ss_sales_price) sum_sales,
  avg(sum(ss_sales_price)) over (partition by i_manufact_id) avg_quarterly_sales
  from item, store_sales, date_dim, store
  where ss_item_sk = i_item_sk and
  ss_sold_date_sk = d_date_sk and
  ss_store_sk = s_store_sk and
  d_month_seq in (1212,1212+1,1212+2,1212+3,1212+4,1212+5,1212+6,1212+7,1212+8,1212+9,1212+10,1212+11) and
  ((i_category in ('Books','Children','Electronics') and
  i_class in ('personal','portable','reference','self-help') and
  i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
  		'exportiunivamalg #9','scholaramalgamalg #9'))
  or(i_category in ('Women','Music','Men') and
  i_class in ('accessories','classical','fragrances','pants') and
  i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
  		'importoamalg #1')))
  group by i_manufact_id, d_qoy ) tmp1
  where case when avg_quarterly_sales > 0 
  	then abs (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales 
  	else null end > 0.1
  order by avg_quarterly_sales,
  	 sum_sales,
  	 i_manufact_id
  limit 100;
  
  -- end query 1 in stream 0 using template query53.tpl
  -- start query 1 in stream 0 using template query54.tpl
  with my_customers as (
   select distinct c_customer_sk
          , c_current_addr_sk
   from   
          ( select cs_sold_date_sk sold_date_sk,
                   cs_bill_customer_sk customer_sk,
                   cs_item_sk item_sk
            from   catalog_sales
            union all
            select ws_sold_date_sk sold_date_sk,
                   ws_bill_customer_sk customer_sk,
                   ws_item_sk item_sk
            from   web_sales
           ) cs_or_ws_sales,
           item,
           date_dim,
           customer
   where   sold_date_sk = d_date_sk
           and item_sk = i_item_sk
           and i_category = '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  segment, count(*) as num_customers, segment*50 as segment_base
   from segments
   group by segment
   order by segment, num_customers
   limit 100;
  
  -- end query 1 in stream 0 using template query54.tpl
  -- start query 1 in stream 0 using template query55.tpl
  select  i_brand_id brand_id, i_brand brand,
   	sum(ss_ext_sales_price) ext_price
   from date_dim, store_sales, item
   where d_date_sk = ss_sold_date_sk
   	and ss_item_sk = i_item_sk
   	and i_manager_id=36
   	and d_moy=12
   	and d_year=2001
   group by i_brand, i_brand_id
   order by ext_price desc, i_brand_id
  limit 100 ;
  
  -- end query 1 in stream 0 using template query55.tpl
  -- start query 1 in stream 0 using template query56.tpl
  with ss as (
   select i_item_id,sum(ss_ext_sales_price) total_sales
   from
   	store_sales,
   	date_dim,
           customer_address,
           item
   where i_item_id in (select
       i_item_id
  from item
  where i_color in ('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  i_item_id ,sum(total_sales) total_sales
   from  (select * from ss 
          union all
          select * from cs 
          union all
          select * from ws) tmp1
   group by i_item_id
   order by total_sales,
            i_item_id
   limit 100;
  
  -- end query 1 in stream 0 using template query56.tpl
  -- start query 1 in stream 0 using template query57.tpl
  with v1 as(
   select i_category, i_brand,
          cc_name,
          d_year, d_moy,
          sum(cs_sales_price) sum_sales,
          avg(sum(cs_sales_price)) over
            (partition by i_category, i_brand,
                       cc_name, d_year)
            avg_monthly_sales,
          rank() over
            (partition by i_category, i_brand,
                       cc_name
             order by d_year, d_moy) rn
   from item, catalog_sales, date_dim, call_center
   where cs_item_sk = i_item_sk and
         cs_sold_date_sk = d_date_sk and
         cc_call_center_sk= cs_call_center_sk and
         (
           d_year = 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.cc_name
          ,v1.d_year, v1.d_moy
          ,v1.avg_monthly_sales
          ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
   from v1, v1 v1_lag, v1 v1_lead
   where v1.i_category = v1_lag.i_category and
         v1.i_category = v1_lead.i_category and
         v1.i_brand = v1_lag.i_brand and
         v1.i_brand = v1_lead.i_brand and
         v1. cc_name = v1_lag. cc_name and
         v1. cc_name = v1_lead. cc_name and
         v1.rn = v1_lag.rn + 1 and
         v1.rn = v1_lead.rn - 1)
    select  *
   from v2
   where  d_year = 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, nsum
   limit 100;
  
  -- end query 1 in stream 0 using template query57.tpl
  -- start query 1 in stream 0 using template query58.tpl
  with ss_items as
   (select i_item_id item_id
          ,sum(ss_ext_sales_price) ss_item_rev 
   from store_sales
       ,item
       ,date_dim
   where ss_item_sk = i_item_sk
     and d_date in (select d_date
                    from date_dim
                    where d_week_seq = (select d_week_seq 
                                        from date_dim
                                        where d_date = '1998-02-19'))
     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  ss_items.item_id
         ,ss_item_rev
         ,ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev
         ,cs_item_rev
         ,cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev
         ,ws_item_rev
         ,ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev
         ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average
   from ss_items,cs_items,ws_items
   where ss_items.item_id=cs_items.item_id
     and ss_items.item_id=ws_items.item_id 
     and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
     and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
     and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
     and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
     and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
     and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
   order by item_id
           ,ss_item_rev
   limit 100;
  
  -- end query 1 in stream 0 using template query58.tpl
  -- start query 1 in stream 0 using template query59.tpl
  with wss as 
   (select d_week_seq,
          ss_store_sk,
          sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
          sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
          sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
          sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
          sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
          sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
          sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
   from store_sales,date_dim
   where d_date_sk = ss_sold_date_sk
   group by d_week_seq,ss_store_sk
   )
    select  s_store_name1,s_store_id1,d_week_seq1
         ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
         ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2
         ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
   from
   (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
          ,s_store_id s_store_id1,sun_sales sun_sales1
          ,mon_sales mon_sales1,tue_sales tue_sales1
          ,wed_sales wed_sales1,thu_sales thu_sales1
          ,fri_sales fri_sales1,sat_sales sat_sales1
    from wss,store,date_dim d
    where d.d_week_seq = wss.d_week_seq and
          ss_store_sk = s_store_sk and 
          d_month_seq between 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
  limit 100;
  
  -- end query 1 in stream 0 using template query59.tpl
  -- start query 1 in stream 0 using template query5a.tpl
  with ssr as
   (select s_store_id,
          sum(sales_price) as sales,
          sum(profit) as profit,
          sum(return_amt) as return_amt,
          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) + interval 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 return_amt,
          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) + interval 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 return_amt,
          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) + interval 14 days)
         and wsr_web_site_sk = web_site_sk
   group by web_site_id)
   ,
   results as
   (select channel
          , id
          , sum(sales) as sales
          , sum(return_amt) as return_amt
          , sum(profit) as profit
   from 
   (select 'store channel' as channel
          , concat('store', s_store_id) as id
          , sales
          , return_amt
          , (profit - profit_loss) as profit
   from   ssr
   union all
   select 'catalog channel' as channel
          , concat('catalog_page', cp_catalog_page_id) as id
          , sales
          , return_amt
          , (profit - profit_loss) as profit
   from  csr
   union all
   select 'web channel' as channel
          , concat('web_site', web_site_id) as id
          , sales
          , return_amt
          , (profit - profit_loss) as profit
   from   wsr
   ) x
   group by channel, id)
   select  channel, id, sales, return_amt, profit from ( 
    select channel, id, sales, return_amt, profit from results
    union
    select channel, null as id, sum(sales), sum(return_amt), sum(profit) from results group by channel
    union
    select null as channel, null as id, sum(sales), sum(return_amt), sum(profit) from results) foo
  order by channel, id
  limit 100;
  
  -- end query 1 in stream 0 using template query5a.tpl
  -- start query 1 in stream 0 using template query60.tpl
  with ss as (
   select
            i_item_id,sum(ss_ext_sales_price) total_sales
   from
   	store_sales,
   	date_dim,
           customer_address,
           item
   where
           i_item_id in (select
    i_item_id
  from
   item
  where i_category in ('Children'))
   and     ss_item_sk              = i_item_sk
   and     ss_sold_date_sk         = d_date_sk
   and     d_year                  = 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   
    i_item_id
  ,sum(total_sales) total_sales
   from  (select * from ss 
          union all
          select * from cs 
          union all
          select * from ws) tmp1
   group by i_item_id
   order by i_item_id
        ,total_sales
   limit 100;
  
  -- end query 1 in stream 0 using template query60.tpl
  -- start query 1 in stream 0 using template query61.tpl
  select  promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
  from
    (select sum(ss_ext_sales_price) promotions
     from  store_sales
          ,store
          ,promotion
          ,date_dim
          ,customer
          ,customer_address 
          ,item
     where ss_sold_date_sk = d_date_sk
     and   ss_store_sk = s_store_sk
     and   ss_promo_sk = p_promo_sk
     and   ss_customer_sk= c_customer_sk
     and   ca_address_sk = c_current_addr_sk
     and   ss_item_sk = i_item_sk 
     and   ca_gmt_offset = -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
  limit 100;
  
  -- end query 1 in stream 0 using template query61.tpl
  -- start query 1 in stream 0 using template query62.tpl
  select  
     substr(w_warehouse_name,1,20)
    ,sm_type
    ,web_name
    ,sum(case when (ws_ship_date_sk - ws_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
    ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 30) and 
                   (ws_ship_date_sk - ws_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
    ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 60) and 
                   (ws_ship_date_sk - ws_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
    ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 90) and
                   (ws_ship_date_sk - ws_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
    ,sum(case when (ws_ship_date_sk - ws_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
  from
     web_sales
    ,warehouse
    ,ship_mode
    ,web_site
    ,date_dim
  where
      d_month_seq between 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
  limit 100;
  
  -- end query 1 in stream 0 using template query62.tpl
  -- start query 1 in stream 0 using template query63.tpl
  select  * 
  from (select i_manager_id
               ,sum(ss_sales_price) sum_sales
               ,avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales
        from item
            ,store_sales
            ,date_dim
            ,store
        where ss_item_sk = i_item_sk
          and ss_sold_date_sk = d_date_sk
          and ss_store_sk = s_store_sk
          and d_month_seq in (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
  limit 100;
  
  -- end query 1 in stream 0 using template query63.tpl
  -- start query 1 in stream 0 using template query64.tpl
  with cs_ui as
   (select cs_item_sk
          ,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund
    from catalog_sales
        ,catalog_returns
    where cs_item_sk = cr_item_sk
      and cs_order_number = cr_order_number
    group by cs_item_sk
    having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)),
  cross_sales as
   (select i_product_name product_name
       ,i_item_sk item_sk
       ,s_store_name store_name
       ,s_zip store_zip
       ,ad1.ca_street_number b_street_number
       ,ad1.ca_street_name b_street_name
       ,ad1.ca_city b_city
       ,ad1.ca_zip b_zip
       ,ad2.ca_street_number c_street_number
       ,ad2.ca_street_name c_street_name
       ,ad2.ca_city c_city
       ,ad2.ca_zip c_zip
       ,d1.d_year as syear
       ,d2.d_year as fsyear
       ,d3.d_year s2year
       ,count(*) cnt
       ,sum(ss_wholesale_cost) s1
       ,sum(ss_list_price) s2
       ,sum(ss_coupon_amt) s3
    FROM   store_sales
          ,store_returns
          ,cs_ui
          ,date_dim d1
          ,date_dim d2
          ,date_dim d3
          ,store
          ,customer
          ,customer_demographics cd1
          ,customer_demographics cd2
          ,promotion
          ,household_demographics hd1
          ,household_demographics hd2
          ,customer_address ad1
          ,customer_address ad2
          ,income_band ib1
          ,income_band ib2
          ,item
    WHERE  ss_store_sk = s_store_sk AND
           ss_sold_date_sk = d1.d_date_sk AND
           ss_customer_sk = c_customer_sk AND
           ss_cdemo_sk= cd1.cd_demo_sk AND
           ss_hdemo_sk = hd1.hd_demo_sk AND
           ss_addr_sk = ad1.ca_address_sk and
           ss_item_sk = i_item_sk and
           ss_item_sk = sr_item_sk and
           ss_ticket_number = sr_ticket_number and
           ss_item_sk = cs_ui.cs_item_sk and
           c_current_cdemo_sk = cd2.cd_demo_sk AND
           c_current_hdemo_sk = hd2.hd_demo_sk AND
           c_current_addr_sk = ad2.ca_address_sk and
           c_first_sales_date_sk = d2.d_date_sk and
           c_first_shipto_date_sk = d3.d_date_sk and
           ss_promo_sk = p_promo_sk and
           hd1.hd_income_band_sk = ib1.ib_income_band_sk and
           hd2.hd_income_band_sk = ib2.ib_income_band_sk and
           cd1.cd_marital_status <> cd2.cd_marital_status and
           i_color in ('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
         ,cs1.s1
         ,cs2.s1;
  
  -- end query 1 in stream 0 using template query64.tpl
  -- start query 1 in stream 0 using template query65.tpl
  select 
  	s_store_name,
  	i_item_desc,
  	sc.revenue,
  	i_current_price,
  	i_wholesale_cost,
  	i_brand
   from store, item,
       (select ss_store_sk, avg(revenue) as ave
   	from
   	    (select  ss_store_sk, ss_item_sk, 
   		     sum(ss_sales_price) as revenue
   		from store_sales, date_dim
   		where ss_sold_date_sk = d_date_sk and d_month_seq between 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
  limit 100;
  
  -- end query 1 in stream 0 using template query65.tpl
  -- start query 1 in stream 0 using template query66.tpl
  select   
           w_warehouse_name
   	,w_warehouse_sq_ft
   	,w_city
   	,w_county
   	,w_state
   	,w_country
          ,ship_carriers
          ,year
   	,sum(jan_sales) as jan_sales
   	,sum(feb_sales) as feb_sales
   	,sum(mar_sales) as mar_sales
   	,sum(apr_sales) as apr_sales
   	,sum(may_sales) as may_sales
   	,sum(jun_sales) as jun_sales
   	,sum(jul_sales) as jul_sales
   	,sum(aug_sales) as aug_sales
   	,sum(sep_sales) as sep_sales
   	,sum(oct_sales) as oct_sales
   	,sum(nov_sales) as nov_sales
   	,sum(dec_sales) as dec_sales
   	,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot
   	,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot
   	,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot
   	,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot
   	,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot
   	,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot
   	,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot
   	,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot
   	,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot
   	,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot
   	,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot
   	,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot
   	,sum(jan_net) as jan_net
   	,sum(feb_net) as feb_net
   	,sum(mar_net) as mar_net
   	,sum(apr_net) as apr_net
   	,sum(may_net) as may_net
   	,sum(jun_net) as jun_net
   	,sum(jul_net) as jul_net
   	,sum(aug_net) as aug_net
   	,sum(sep_net) as sep_net
   	,sum(oct_net) as oct_net
   	,sum(nov_net) as nov_net
   	,sum(dec_net) as dec_net
   from (
       select 
   	w_warehouse_name
   	,w_warehouse_sq_ft
   	,w_city
   	,w_county
   	,w_state
   	,w_country
   	,concat('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
      ,concat('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
   limit 100;
  
  -- end query 1 in stream 0 using template query66.tpl
  -- start query 1 in stream 0 using template query67a.tpl
  with results as
  (     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 i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id)
   ,
   results_rollup as
   (select i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy, s_store_id, sumsales
    from results
    union all
    select i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy, null s_store_id, sum(sumsales) sumsales
    from results
    group by i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy
    union all
    select i_category, i_class, i_brand, i_product_name, d_year, d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
    from results
    group by i_category, i_class, i_brand, i_product_name, d_year, d_qoy
    union all
    select i_category, i_class, i_brand, i_product_name, d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
    from results
    group by i_category, i_class, i_brand, i_product_name, d_year
    union all
    select i_category, i_class, i_brand, i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
    from results
    group by i_category, i_class, i_brand, i_product_name
    union all
    select i_category, i_class, i_brand, null i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
    from results
    group by i_category, i_class, i_brand
    union all
    select i_category, i_class, null i_brand, null i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
    from results
    group by i_category, i_class
    union all
    select i_category, null i_class, null i_brand, null i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
    from results
    group by i_category
    union all
    select null i_category, null i_class, null i_brand, null i_product_name, null d_year, null d_qoy, null d_moy, null s_store_id, sum(sumsales) sumsales
    from results)
  
   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 results_rollup) dw2
  where rk <= 100
  order by i_category
          ,i_class
          ,i_brand
          ,i_product_name
          ,d_year
          ,d_qoy
          ,d_moy
          ,s_store_id
          ,sumsales
          ,rk
  limit 100;
  
  -- end query 1 in stream 0 using template query67a.tpl
  -- start query 1 in stream 0 using template query68.tpl
  select  c_last_name
         ,c_first_name
         ,ca_city
         ,bought_city
         ,ss_ticket_number
         ,extended_price
         ,extended_tax
         ,list_price
   from (select ss_ticket_number
               ,ss_customer_sk
               ,ca_city bought_city
               ,sum(ss_ext_sales_price) extended_price 
               ,sum(ss_ext_list_price) list_price
               ,sum(ss_ext_tax) extended_tax 
         from store_sales
             ,date_dim
             ,store
             ,household_demographics
             ,customer_address 
         where store_sales.ss_sold_date_sk = date_dim.d_date_sk
           and store_sales.ss_store_sk = store.s_store_sk  
          and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
          and store_sales.ss_addr_sk = customer_address.ca_address_sk
          and date_dim.d_dom between 1 and 2 
          and (household_demographics.hd_dep_count = 4 or
               household_demographics.hd_vehicle_count= 2)
          and date_dim.d_year in (1998,1998+1,1998+2)
          and store.s_city in ('Rosedale','Bethlehem')
         group by ss_ticket_number
                 ,ss_customer_sk
                 ,ss_addr_sk,ca_city) dn
        ,customer
        ,customer_address current_addr
   where ss_customer_sk = c_customer_sk
     and customer.c_current_addr_sk = current_addr.ca_address_sk
     and current_addr.ca_city <> bought_city
   order by c_last_name
           ,ss_ticket_number
   limit 100;
  
  -- end query 1 in stream 0 using template query68.tpl
  -- start query 1 in stream 0 using template query69.tpl
  select  
    cd_gender,
    cd_marital_status,
    cd_education_status,
    count(*) cnt1,
    cd_purchase_estimate,
    count(*) cnt2,
    cd_credit_rating,
    count(*) cnt3
   from
    customer c,customer_address ca,customer_demographics
   where
    c.c_current_addr_sk = ca.ca_address_sk and
    ca_state in ('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
   limit 100;
  
  -- end query 1 in stream 0 using template query69.tpl
  -- start query 1 in stream 0 using template query6.tpl
  select  a.ca_state state, count(*) cnt
   from customer_address a
       ,customer c
       ,store_sales s
       ,date_dim d
       ,item i
   where       a.ca_address_sk = c.c_current_addr_sk
   	and c.c_customer_sk = s.ss_customer_sk
   	and s.ss_sold_date_sk = d.d_date_sk
   	and s.ss_item_sk = i.i_item_sk
   	and d.d_month_seq = 
   	     (select distinct (d_month_seq)
   	      from date_dim
                 where d_year = 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.ca_state 
   limit 100;
  
  -- end query 1 in stream 0 using template query6.tpl
  -- start query 1 in stream 0 using template query70a.tpl
  with results as
  ( select
      sum(ss_net_profit) as total_sum ,s_state ,s_county, 0 as gstate, 0 as g_county
   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 s_state,s_county) ,  
   results_rollup as 
  (select total_sum ,s_state ,s_county, 0 as g_state, 0 as g_county, 0 as lochierarchy from results
   union
   select sum(total_sum) as total_sum,s_state, NULL as s_county, 0 as g_state, 1 as g_county, 1 as lochierarchy from results group by s_state
   union
   select sum(total_sum) as total_sum ,NULL as s_state ,NULL as s_county, 1 as g_state, 1 as g_county, 2 as lochierarchy from results)
    select  total_sum ,s_state ,s_county, lochierarchy 
    ,rank() over (
       partition by lochierarchy, 
       case when g_county = 0 then s_state end 
       order by total_sum desc) as rank_within_parent
   from results_rollup
   order by
    lochierarchy desc
    ,case when lochierarchy = 0 then s_state end
    ,rank_within_parent
   limit 100;
  
  -- end query 1 in stream 0 using template query70a.tpl
  -- start query 1 in stream 0 using template query71.tpl
  select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
   	sum(ext_price) ext_price
   from item, (select ws_ext_sales_price as ext_price, 
                          ws_sold_date_sk as sold_date_sk,
                          ws_item_sk as sold_item_sk,
                          ws_sold_time_sk as time_sk  
                   from web_sales,date_dim
                   where d_date_sk = ws_sold_date_sk
                     and d_moy=12
                     and d_year=2000
                   union all
                   select cs_ext_sales_price as ext_price,
                          cs_sold_date_sk as sold_date_sk,
                          cs_item_sk as sold_item_sk,
                          cs_sold_time_sk as time_sk
                   from catalog_sales,date_dim
                   where d_date_sk = cs_sold_date_sk
                     and d_moy=12
                     and d_year=2000
                   union all
                   select ss_ext_sales_price as ext_price,
                          ss_sold_date_sk as sold_date_sk,
                          ss_item_sk as sold_item_sk,
                          ss_sold_time_sk as time_sk
                   from store_sales,date_dim
                   where d_date_sk = ss_sold_date_sk
                     and d_moy=12
                     and d_year=2000
                   ) tmp,time_dim
   where
     sold_item_sk = i_item_sk
     and i_manager_id=1
     and time_sk = t_time_sk
     and (t_meal_time = 'breakfast' or t_meal_time = 'dinner')
   group by i_brand, i_brand_id,t_hour,t_minute
   order by ext_price desc, i_brand_id
   ;
  
  -- end query 1 in stream 0 using template query71.tpl
  -- start query 1 in stream 0 using template query72.tpl
  select  i_item_desc
        ,w_warehouse_name
        ,d1.d_week_seq
        ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
        ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
        ,count(*) total_cnt
  from catalog_sales
  join inventory on (cs_item_sk = inv_item_sk)
  join warehouse on (w_warehouse_sk=inv_warehouse_sk)
  join item on (i_item_sk = cs_item_sk)
  join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
  join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
  join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
  join date_dim d2 on (inv_date_sk = d2.d_date_sk)
  join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
  left outer join promotion on (cs_promo_sk=p_promo_sk)
  left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
  where d1.d_week_seq = d2.d_week_seq
    and inv_quantity_on_hand < cs_quantity 
    and d3.d_date > d1.d_date + interval 5 days
    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
  limit 100;
  
  -- end query 1 in stream 0 using template query72.tpl
  -- start query 1 in stream 0 using template query73.tpl
  select c_last_name
         ,c_first_name
         ,c_salutation
         ,c_preferred_cust_flag 
         ,ss_ticket_number
         ,cnt from
     (select ss_ticket_number
            ,ss_customer_sk
            ,count(*) cnt
      from store_sales,date_dim,store,household_demographics
      where store_sales.ss_sold_date_sk = date_dim.d_date_sk
      and store_sales.ss_store_sk = store.s_store_sk  
      and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
      and date_dim.d_dom between 1 and 2 
      and (household_demographics.hd_buy_potential = '1001-5000' or
           household_demographics.hd_buy_potential = '5001-10000')
      and household_demographics.hd_vehicle_count > 0
      and case when household_demographics.hd_vehicle_count > 0 then 
               household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1
      and date_dim.d_year in (1998,1998+1,1998+2)
      and store.s_county in ('Kittitas County','Adams County','Richland County','Furnas County')
      group by ss_ticket_number,ss_customer_sk) dj,customer
      where ss_customer_sk = c_customer_sk
        and cnt between 1 and 5
      order by cnt desc, c_last_name asc;
  
  -- end query 1 in stream 0 using template query73.tpl
  -- start query 1 in stream 0 using template query74.tpl
  with year_total as (
   select c_customer_id customer_id
         ,c_first_name customer_first_name
         ,c_last_name customer_last_name
         ,d_year as year
         ,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 
          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
  limit 100;
  
  -- end query 1 in stream 0 using template query74.tpl
  -- start query 1 in stream 0 using template query75.tpl
  WITH all_sales AS (
   SELECT d_year
         ,i_brand_id
         ,i_class_id
         ,i_category_id
         ,i_manufact_id
         ,SUM(sales_cnt) AS sales_cnt
         ,SUM(sales_amt) AS sales_amt
   FROM (SELECT d_year
               ,i_brand_id
               ,i_class_id
               ,i_category_id
               ,i_manufact_id
               ,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt
               ,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt
         FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk
                            JOIN date_dim ON d_date_sk=cs_sold_date_sk
                            LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number 
                                                      AND cs_item_sk=cr_item_sk)
         WHERE i_category='Sports'
         UNION
         SELECT d_year
               ,i_brand_id
               ,i_class_id
               ,i_category_id
               ,i_manufact_id
               ,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt
               ,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt
         FROM store_sales JOIN item ON i_item_sk=ss_item_sk
                          JOIN date_dim ON d_date_sk=ss_sold_date_sk
                          LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number 
                                                  AND ss_item_sk=sr_item_sk)
         WHERE i_category='Sports'
         UNION
         SELECT d_year
               ,i_brand_id
               ,i_class_id
               ,i_category_id
               ,i_manufact_id
               ,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt
               ,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt
         FROM web_sales JOIN item ON i_item_sk=ws_item_sk
                        JOIN date_dim ON d_date_sk=ws_sold_date_sk
                        LEFT JOIN web_returns ON (ws_order_number=wr_order_number 
                                              AND ws_item_sk=wr_item_sk)
         WHERE i_category='Sports') sales_detail
   GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id)
   SELECT  prev_yr.d_year AS prev_year
                            ,curr_yr.d_year AS year
                            ,curr_yr.i_brand_id
                            ,curr_yr.i_class_id
                            ,curr_yr.i_category_id
                            ,curr_yr.i_manufact_id
                            ,prev_yr.sales_cnt AS prev_yr_cnt
                            ,curr_yr.sales_cnt AS curr_yr_cnt
                            ,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff
                            ,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff
   FROM all_sales curr_yr, all_sales prev_yr
   WHERE curr_yr.i_brand_id=prev_yr.i_brand_id
     AND curr_yr.i_class_id=prev_yr.i_class_id
     AND curr_yr.i_category_id=prev_yr.i_category_id
     AND curr_yr.i_manufact_id=prev_yr.i_manufact_id
     AND curr_yr.d_year=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,sales_amt_diff
   limit 100;
  
  -- end query 1 in stream 0 using template query75.tpl
  -- start query 1 in stream 0 using template query76.tpl
  select  channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM (
          SELECT 'store' as channel, 'ss_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
  limit 100;
  
  -- end query 1 in stream 0 using template query76.tpl
  -- start query 1 in stream 0 using template query77a.tpl
  with ss as
   (select s_store_sk,
           sum(ss_ext_sales_price) as sales,
           sum(ss_net_profit) as profit
   from store_sales,
        date_dim,
        store
   where ss_sold_date_sk = d_date_sk
         and d_date between cast('1998-08-04' as date) 
                    and (cast('1998-08-04' as date) + interval 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 return_amt,
           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) + interval 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) + interval 30 days )
   group by cs_call_center_sk 
   ), 
   cr as
   (select cr_call_center_sk,
           sum(cr_return_amount) as return_amt,
           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) + interval 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) + interval 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 return_amt,
          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) + interval 30 days )
         and wr_web_page_sk = wp_web_page_sk
   group by wp_web_page_sk)
   ,
   results as
   (select channel
          , id
          , sum(sales) as sales
          , sum(return_amt) as return_amt
          , sum(profit) as profit
   from 
   (select 'store channel' as channel
          , ss.s_store_sk as id
          , sales
          , coalesce(return_amt, 0) as return_amt
          , (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
          , return_amt
          , (profit - profit_loss) as profit
   from  cs
         , cr
   union all
   select 'web channel' as channel
          , ws.wp_web_page_sk as id
          , sales
          , coalesce(return_amt, 0) return_amt
          , (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 channel, id )
  
    select  *
   from (
   select channel, id, sales, return_amt, profit from  results
   union
   select channel, NULL AS id, sum(sales) as sales, sum(return_amt) as return_amt, sum(profit) as profit from  results group by channel
   union
   select NULL AS channel, NULL AS id, sum(sales) as sales, sum(return_amt) as return_amt, sum(profit) as profit from  results
  ) foo
  order by channel, id
   limit 100;
  
  -- end query 1 in stream 0 using template query77a.tpl
  -- start query 1 in stream 0 using template query78.tpl
  with ws as
    (select d_year AS ws_sold_year, ws_item_sk,
      ws_bill_customer_sk ws_customer_sk,
      sum(ws_quantity) ws_qty,
      sum(ws_wholesale_cost) ws_wc,
      sum(ws_sales_price) ws_sp
     from web_sales
     left join web_returns on wr_order_number=ws_order_number and ws_item_sk=wr_item_sk
     join date_dim on ws_sold_date_sk = d_date_sk
     where wr_order_number is null
     group by d_year, ws_item_sk, ws_bill_customer_sk
     ),
  cs as
    (select d_year AS cs_sold_year, cs_item_sk,
      cs_bill_customer_sk cs_customer_sk,
      sum(cs_quantity) cs_qty,
      sum(cs_wholesale_cost) cs_wc,
      sum(cs_sales_price) cs_sp
     from catalog_sales
     left join catalog_returns on cr_order_number=cs_order_number and cs_item_sk=cr_item_sk
     join date_dim on cs_sold_date_sk = d_date_sk
     where cr_order_number is null
     group by d_year, cs_item_sk, cs_bill_customer_sk
     ),
  ss as
    (select d_year AS ss_sold_year, ss_item_sk,
      ss_customer_sk,
      sum(ss_quantity) ss_qty,
      sum(ss_wholesale_cost) ss_wc,
      sum(ss_sales_price) ss_sp
     from store_sales
     left join store_returns on sr_ticket_number=ss_ticket_number and ss_item_sk=sr_item_sk
     join date_dim on ss_sold_date_sk = d_date_sk
     where sr_ticket_number is null
     group by d_year, ss_item_sk, ss_customer_sk
     )
   select 
  ss_sold_year, ss_item_sk, ss_customer_sk,
  round(ss_qty/(coalesce(ws_qty,0)+coalesce(cs_qty,0)),2) ratio,
  ss_qty store_qty, ss_wc store_wholesale_cost, ss_sp store_sales_price,
  coalesce(ws_qty,0)+coalesce(cs_qty,0) other_chan_qty,
  coalesce(ws_wc,0)+coalesce(cs_wc,0) other_chan_wholesale_cost,
  coalesce(ws_sp,0)+coalesce(cs_sp,0) other_chan_sales_price
  from ss
  left join ws on (ws_sold_year=ss_sold_year and ws_item_sk=ss_item_sk and ws_customer_sk=ss_customer_sk)
  left join cs on (cs_sold_year=ss_sold_year and cs_item_sk=ss_item_sk and cs_customer_sk=ss_customer_sk)
  where (coalesce(ws_qty,0)>0 or coalesce(cs_qty, 0)>0) and ss_sold_year=2000
  order by 
    ss_sold_year, ss_item_sk, ss_customer_sk,
    ss_qty desc, ss_wc desc, ss_sp desc,
    other_chan_qty,
    other_chan_wholesale_cost,
    other_chan_sales_price,
    ratio
  limit 100;
  
  -- end query 1 in stream 0 using template query78.tpl
  -- start query 1 in stream 0 using template query79.tpl
  select 
    c_last_name,c_first_name,substr(s_city,1,30),ss_ticket_number,amt,profit
    from
     (select ss_ticket_number
            ,ss_customer_sk
            ,store.s_city
            ,sum(ss_coupon_amt) amt
            ,sum(ss_net_profit) profit
      from store_sales,date_dim,store,household_demographics
      where store_sales.ss_sold_date_sk = date_dim.d_date_sk
      and store_sales.ss_store_sk = store.s_store_sk  
      and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
      and (household_demographics.hd_dep_count = 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
  limit 100;
  
  -- end query 1 in stream 0 using template query79.tpl
  -- start query 1 in stream 0 using template query7.tpl
  select  i_item_id, 
          avg(ss_quantity) agg1,
          avg(ss_list_price) agg2,
          avg(ss_coupon_amt) agg3,
          avg(ss_sales_price) agg4 
   from store_sales, customer_demographics, date_dim, item, promotion
   where ss_sold_date_sk = d_date_sk and
         ss_item_sk = i_item_sk and
         ss_cdemo_sk = cd_demo_sk and
         ss_promo_sk = p_promo_sk and
         cd_gender = 'F' and 
         cd_marital_status = 'W' and
         cd_education_status = '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
   limit 100;
  
  -- end query 1 in stream 0 using template query7.tpl
  -- start query 1 in stream 0 using template query80a.tpl
  with ssr as
   (select  s_store_id as store_id,
            sum(ss_ext_sales_price) as sales,
            sum(coalesce(sr_return_amt, 0)) as return_amt,
            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) + interval 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 return_amt,
            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) + interval 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 return_amt,
            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) + interval 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)
  ,
  results as
   (select channel
          , id
          , sum(sales) as sales
          , sum(return_amt) as return_amt
          , sum(profit) as profit
   from 
   (select 'store channel' as channel
          , concat('store', store_id) as id
          , sales
          , return_amt
          , profit
   from   ssr
   union all
   select 'catalog channel' as channel
          , concat('catalog_page', catalog_page_id) as id
          , sales
          , return_amt
          , profit
   from  csr
   union all
   select 'web channel' as channel
          , concat('web_site', web_site_id) as id
          , sales
          , return_amt
          , profit
   from   wsr
   ) x
   group by channel, id)
   
    select  channel
          , id
          , sales
          , return_amt
          , profit
   from (
     select channel, id, sales, return_amt, profit from  results
     union
     select channel, NULL AS id, sum(sales) as sales, sum(return_amt) as return_amt, sum(profit) as profit from  results group by channel
     union
     select NULL AS channel, NULL AS id, sum(sales) as sales, sum(return_amt) as return_amt, sum(profit) as profit from  results
   ) foo
   order by channel, id
   limit 100;
  
  -- end query 1 in stream 0 using template query80a.tpl
  -- start query 1 in stream 0 using template query81.tpl
  with customer_total_return as
   (select cr_returning_customer_sk as ctr_customer_sk
          ,ca_state as ctr_state, 
   	sum(cr_return_amt_inc_tax) as ctr_total_return
   from catalog_returns
       ,date_dim
       ,customer_address
   where cr_returned_date_sk = d_date_sk 
     and d_year =1998
     and cr_returning_addr_sk = ca_address_sk 
   group by cr_returning_customer_sk
           ,ca_state )
    select  c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
                     ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
                    ,ca_location_type,ctr_total_return
   from customer_total_return ctr1
       ,customer_address
       ,customer
   where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
   			  from customer_total_return ctr2 
                    	  where ctr1.ctr_state = ctr2.ctr_state)
         and ca_address_sk = c_current_addr_sk
         and ca_state = '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
   limit 100;
  
  -- end query 1 in stream 0 using template query81.tpl
  -- start query 1 in stream 0 using template query82.tpl
  select  i_item_id
         ,i_item_desc
         ,i_current_price
   from item, inventory, date_dim, store_sales
   where i_current_price between 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) + interval 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
   limit 100;
  
  -- end query 1 in stream 0 using template query82.tpl
  -- start query 1 in stream 0 using template query83.tpl
  with sr_items as
   (select i_item_id item_id,
          sum(sr_return_quantity) sr_item_qty
   from store_returns,
        item,
        date_dim
   where sr_item_sk = i_item_sk
   and   d_date    in 
  	(select d_date
  	from date_dim
  	where d_week_seq in 
  		(select d_week_seq
  		from date_dim
  	  where d_date in ('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  sr_items.item_id
         ,sr_item_qty
         ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev
         ,cr_item_qty
         ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev
         ,wr_item_qty
         ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev
         ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average
   from sr_items
       ,cr_items
       ,wr_items
   where sr_items.item_id=cr_items.item_id
     and sr_items.item_id=wr_items.item_id 
   order by sr_items.item_id
           ,sr_item_qty
   limit 100;
  
  -- end query 1 in stream 0 using template query83.tpl
  -- start query 1 in stream 0 using template query84.tpl
  select  c_customer_id as customer_id
         , concat(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
   limit 100;
  
  -- end query 1 in stream 0 using template query84.tpl
  -- start query 1 in stream 0 using template query85.tpl
  select  substr(r_reason_desc,1,20)
         ,avg(ws_quantity)
         ,avg(wr_refunded_cash)
         ,avg(wr_fee)
   from web_sales, web_returns, web_page, customer_demographics cd1,
        customer_demographics cd2, customer_address, date_dim, reason 
   where ws_web_page_sk = wp_web_page_sk
     and ws_item_sk = wr_item_sk
     and ws_order_number = wr_order_number
     and ws_sold_date_sk = d_date_sk and d_year = 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)
  limit 100;
  
  -- end query 1 in stream 0 using template query85.tpl
  -- start query 1 in stream 0 using template query86a.tpl
  with results as
  ( select sum(ws_net_paid) as total_sum, i_category, i_class, 0 as g_category, 0 as g_class 
   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 i_category,i_class
   ) ,
  
   results_rollup as
  ( select total_sum ,i_category ,i_class, g_category, g_class, 0 as lochierarchy from results
    union
    select sum(total_sum) as total_sum, i_category, NULL as i_class, 0 as g_category, 1 as g_class, 1 as lochierarchy from results group by i_category
    union
    select sum(total_sum) as total_sum, NULL as i_category, NULL as i_class, 1 as g_category, 1 as g_class, 2 as lochierarchy from results)
   select 
   total_sum ,i_category ,i_class, lochierarchy 
     ,rank() over (
   	partition by lochierarchy,
   	case when g_class = 0 then i_category end 
   	order by total_sum desc) as rank_within_parent
   from
   results_rollup
   order by
     lochierarchy desc,
     case when lochierarchy = 0 then i_category end,
     rank_within_parent 
   limit 100;
  
  -- end query 1 in stream 0 using template query86a.tpl
  -- start query 1 in stream 0 using template query88.tpl
  select  *
  from
   (select count(*) h8_30_to_9
   from store_sales, household_demographics , time_dim, store
   where ss_sold_time_sk = time_dim.t_time_sk   
       and ss_hdemo_sk = household_demographics.hd_demo_sk 
       and ss_store_sk = s_store_sk
       and time_dim.t_hour = 8
       and time_dim.t_minute >= 30
       and ((household_demographics.hd_dep_count = 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
  ;
  
  -- end query 1 in stream 0 using template query88.tpl
  -- start query 1 in stream 0 using template query89.tpl
  select  *
  from(
  select i_category, i_class, i_brand,
         s_store_name, s_company_name,
         d_moy,
         sum(ss_sales_price) sum_sales,
         avg(sum(ss_sales_price)) over
           (partition by i_category, i_brand, s_store_name, s_company_name)
           avg_monthly_sales
  from item, store_sales, date_dim, store
  where ss_item_sk = i_item_sk and
        ss_sold_date_sk = d_date_sk and
        ss_store_sk = s_store_sk and
        d_year in (2000) and
          ((i_category in ('Home','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
  limit 100;
  
  -- end query 1 in stream 0 using template query89.tpl
  -- start query 1 in stream 0 using template query90.tpl
  select  cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio
   from ( select count(*) amc
         from web_sales, household_demographics , time_dim, web_page
         where ws_sold_time_sk = time_dim.t_time_sk
           and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
           and ws_web_page_sk = web_page.wp_web_page_sk
           and time_dim.t_hour between 6 and 6+1
           and household_demographics.hd_dep_count = 8
           and web_page.wp_char_count between 5000 and 5200) amt,
        ( 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) pmt
   order by am_pm_ratio
   limit 100;
  
  -- end query 1 in stream 0 using template query90.tpl
  -- start query 1 in stream 0 using template query91.tpl
  select  
          cc_call_center_id Call_Center,
          cc_name Call_Center_Name,
          cc_manager Manager,
          sum(cr_net_loss) Returns_Loss
  from
          call_center,
          catalog_returns,
          date_dim,
          customer,
          customer_address,
          customer_demographics,
          household_demographics
  where
          cr_call_center_sk       = cc_call_center_sk
  and     cr_returned_date_sk     = d_date_sk
  and     cr_returning_customer_sk= c_customer_sk
  and     cd_demo_sk              = c_current_cdemo_sk
  and     hd_demo_sk              = c_current_hdemo_sk
  and     ca_address_sk           = c_current_addr_sk
  and     d_year                  = 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;
  
  -- end query 1 in stream 0 using template query91.tpl
  -- start query 1 in stream 0 using template query92.tpl
  select  
     sum(ws_ext_discount_amt)  as "Excess Discount Amount" 
  from 
      web_sales 
     ,item 
     ,date_dim
  where
  i_manufact_id = 269
  and i_item_sk = ws_item_sk 
  and d_date between cast('1998-03-18' as date) and
          (cast('1998-03-18' as date) + interval 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 cast('1998-03-18' as date) and
                               (cast('1998-03-18' as date) + interval 90 days)
            and d_date_sk = ws_sold_date_sk 
        ) 
  order by sum(ws_ext_discount_amt)
  limit 100;
  
  -- end query 1 in stream 0 using template query92.tpl
  -- start query 1 in stream 0 using template query93.tpl
  select  ss_customer_sk
              ,sum(act_sales) sumsales
        from (select ss_item_sk
                    ,ss_ticket_number
                    ,ss_customer_sk
                    ,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price
                                                              else (ss_quantity*ss_sales_price) end act_sales
              from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk
                                                                 and sr_ticket_number = ss_ticket_number)
                  ,reason
              where sr_reason_sk = r_reason_sk
                and r_reason_desc = 'Did not like the warranty') t
        group by ss_customer_sk
        order by sumsales, ss_customer_sk
  limit 100;
  
  -- end query 1 in stream 0 using template query93.tpl
  -- start query 1 in stream 0 using template query94.tpl
  select  
     count(distinct ws_order_number) as "order count"
    ,sum(ws_ext_ship_cost) as "total shipping cost"
    ,sum(ws_net_profit) as "total net profit"
  from
     web_sales ws1
    ,date_dim
    ,customer_address
    ,web_site
  where
      d_date between cast('1999-5-01' as date) and 
             (cast('1999-5-01' as date) + interval 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)
  limit 100;
  
  -- end query 1 in stream 0 using template query94.tpl
  -- start query 1 in stream 0 using template query95.tpl
  with ws_wh as
  (select ws1.ws_order_number,ws1.ws_warehouse_sk wh1,ws2.ws_warehouse_sk wh2
   from web_sales ws1,web_sales ws2
   where ws1.ws_order_number = ws2.ws_order_number
     and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
   select  
     count(distinct ws_order_number) as "order count"
    ,sum(ws_ext_ship_cost) as "total shipping cost"
    ,sum(ws_net_profit) as "total net profit"
  from
     web_sales ws1
    ,date_dim
    ,customer_address
    ,web_site
  where
      d_date between cast('1999-05-01' as date) and 
             (cast('1999-05-01' as date) + interval 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)
  limit 100;
  
  -- end query 1 in stream 0 using template query95.tpl
  -- start query 1 in stream 0 using template query96.tpl
  select  count(*) 
  from store_sales
      ,household_demographics 
      ,time_dim, store
  where ss_sold_time_sk = time_dim.t_time_sk   
      and ss_hdemo_sk = household_demographics.hd_demo_sk 
      and ss_store_sk = s_store_sk
      and time_dim.t_hour = 8
      and time_dim.t_minute >= 30
      and household_demographics.hd_dep_count = 5
      and store.s_store_name = 'ese'
  order by count(*)
  limit 100;
  
  -- end query 1 in stream 0 using template query96.tpl
  -- start query 1 in stream 0 using template query97.tpl
  with ssci as (
  select ss_customer_sk customer_sk
        ,ss_item_sk item_sk
  from store_sales,date_dim
  where ss_sold_date_sk = d_date_sk
    and d_month_seq between 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  sum(case when ssci.customer_sk is not null and csci.customer_sk is null then 1 else 0 end) store_only
        ,sum(case when ssci.customer_sk is null and csci.customer_sk is not null then 1 else 0 end) catalog_only
        ,sum(case when ssci.customer_sk is not null and csci.customer_sk is not null then 1 else 0 end) store_and_catalog
  from ssci full outer join csci on (ssci.customer_sk=csci.customer_sk
                                 and ssci.item_sk = csci.item_sk)
  limit 100;
  
  -- end query 1 in stream 0 using template query97.tpl
  -- start query 1 in stream 0 using template query98.tpl
  select i_item_id
        ,i_item_desc 
        ,i_category 
        ,i_class 
        ,i_current_price
        ,sum(ss_ext_sales_price) as itemrevenue 
        ,sum(ss_ext_sales_price)*100/sum(sum(ss_ext_sales_price)) over
            (partition by i_class) as revenueratio
  from	
  	store_sales
      	,item 
      	,date_dim
  where 
  	ss_item_sk = i_item_sk 
    	and i_category in ('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) + interval 30 days)
  group by 
  	i_item_id
          ,i_item_desc 
          ,i_category
          ,i_class
          ,i_current_price
  order by 
  	i_category
          ,i_class
          ,i_item_id
          ,i_item_desc
          ,revenueratio;
  
  -- end query 1 in stream 0 using template query98.tpl
  -- start query 1 in stream 0 using template query99.tpl
  select  
     substr(w_warehouse_name,1,20)
    ,sm_type
    ,cc_name
    ,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
    ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and 
                   (cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
    ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and 
                   (cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
    ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and
                   (cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
    ,sum(case when (cs_ship_date_sk - cs_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
  from
     catalog_sales
    ,warehouse
    ,ship_mode
    ,call_center
    ,date_dim
  where
      d_month_seq between 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
  limit 100;
  
  -- end query 1 in stream 0 using template query99.tpl
  