use tpcds_holodesk_10000;

set holodesk.automerge.enabled=true;
set holodesk.automerge.mergesize=20;
set ngmr.mapjoin.partitionprune=true;
set hive.mapjoin.smalltable.filesize=30000000;
set mapred.minreduce.tasks=523;
set hive.cbo.enable=true;
set inceptor.cbo.mdprovider.extended=true;
set inceptor.cbo.rowbased.mapjoin=true;
set inceptor.cbo.rowbased.mapjoin.reduce.factor=2;
set inceptor.cbo.joincount.min=0;
set ngmr.metacache.level=statement;
set hive.reducer.control.enable=true;
set inceptor.conf.validation=false;
set ngmr.windrunner.session.mapjoin.partition.prune=true;
set inceptor.filterjoin.enabled=false;
set inceptor.mapjoin.filter=true;
set hive.window.iterator.directly=true;
set hive.groupby.iter.single.rollup=true;
set inceptor.remove.constant.group.by=true;
set hive.reducer.control.max.reducenum=5711;
set inceptor.subquery.cse.enabled=true;

set inceptor.decimal.display.padding.zero=true;



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 ('honeydew','peru','cream'))
 and     ss_item_sk              = i_item_sk
 and     ss_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 6
 and     ss_addr_sk              = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 cs as (
 select i_item_id,sum(cs_ext_sales_price) total_sales
 from
 	catalog_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from item
where i_color in ('honeydew','peru','cream'))
 and     cs_item_sk              = i_item_sk
 and     cs_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 6
 and     cs_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 ws as (
 select i_item_id,sum(ws_ext_sales_price) total_sales
 from
 	web_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from item
where i_color in ('honeydew','peru','cream'))
 and     ws_item_sk              = i_item_sk
 and     ws_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 6
 and     ws_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5
 group by i_item_id)
  select  i_item_id ,sum(total_sales) total_sales
 from  (select * from ss 
        union all
        select * from cs 
        union all
        select * from ws) tmp1
 group by i_item_id
 order by total_sales,
          i_item_id
 limit 100;



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 ('Sports', 'Shoes', 'Music')
  	and ss_sold_date_sk = d_date_sk
	and d_date between cast('2001-03-21' as date) 
				and (cast('2001-03-21' as date) + 30 days)
group by 
	i_item_id
        ,i_item_desc 
        ,i_category
        ,i_class
        ,i_current_price
order by 
	i_category
        ,i_class
        ,i_item_id
        ,i_item_desc
        ,revenueratio;



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 1196 and 1196 + 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 1196+ 12 and 1196 + 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;



with ssales as
(select c_last_name
      ,c_first_name
      ,s_store_name
      ,ca_state
      ,s_state
      ,i_color
      ,i_current_price
      ,i_manager_id
      ,i_units
      ,i_size
      ,sum(ss_net_paid) netpaid
from store_sales
    ,store_returns
    ,store
    ,item
    ,customer
    ,customer_address
where ss_ticket_number = sr_ticket_number
  and ss_item_sk = sr_item_sk
  and ss_customer_sk = c_customer_sk
  and ss_item_sk = i_item_sk
  and ss_store_sk = s_store_sk
  and c_current_addr_sk = ca_address_sk
  and c_birth_country <> upper(ca_country)
  and s_zip = ca_zip
and s_market_id=5
group by c_last_name
        ,c_first_name
        ,s_store_name
        ,ca_state
        ,s_state
        ,i_color
        ,i_current_price
        ,i_manager_id
        ,i_units
        ,i_size)
select c_last_name
      ,c_first_name
      ,s_store_name
      ,sum(netpaid) paid
from ssales
where i_color = 'spring'
group by c_last_name
        ,c_first_name
        ,s_store_name
having sum(netpaid) > (select 0.05*avg(netpaid)
                                 from ssales)
order by c_last_name
        ,c_first_name
        ,s_store_name
;
with ssales as
(select c_last_name
      ,c_first_name
      ,s_store_name
      ,ca_state
      ,s_state
      ,i_color
      ,i_current_price
      ,i_manager_id
      ,i_units
      ,i_size
      ,sum(ss_net_paid) netpaid
from store_sales
    ,store_returns
    ,store
    ,item
    ,customer
    ,customer_address
where ss_ticket_number = sr_ticket_number
  and ss_item_sk = sr_item_sk
  and ss_customer_sk = c_customer_sk
  and ss_item_sk = i_item_sk
  and ss_store_sk = s_store_sk
  and c_current_addr_sk = ca_address_sk
  and c_birth_country <> upper(ca_country)
  and s_zip = ca_zip
  and s_market_id = 5
group by c_last_name
        ,c_first_name
        ,s_store_name
        ,ca_state
        ,s_state
        ,i_color
        ,i_current_price
        ,i_manager_id
        ,i_units
        ,i_size)
select c_last_name
      ,c_first_name
      ,s_store_name
      ,sum(netpaid) paid
from ssales
where i_color = 'navajo'
group by c_last_name
        ,c_first_name
        ,s_store_name
having sum(netpaid) > (select 0.05*avg(netpaid)
                           from ssales)
order by c_last_name
        ,c_first_name
        ,s_store_name
;



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 = 0 and household_demographics.hd_vehicle_count<=0+2) or
          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or
          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+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 = 0 and household_demographics.hd_vehicle_count<=0+2) or
          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or
          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+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 = 0 and household_demographics.hd_vehicle_count<=0+2) or
          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or
          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+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 = 0 and household_demographics.hd_vehicle_count<=0+2) or
          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or
          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+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 = 0 and household_demographics.hd_vehicle_count<=0+2) or
          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or
          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+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 = 0 and household_demographics.hd_vehicle_count<=0+2) or
          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or
          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+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 = 0 and household_demographics.hd_vehicle_count<=0+2) or
          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or
          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+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 = 0 and household_demographics.hd_vehicle_count<=0+2) or
          (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or
          (household_demographics.hd_dep_count = 4 and household_demographics.hd_vehicle_count<=4+2))
     and store.s_store_name = 'ese') s8
;



with wscs as
 (select sold_date_sk
        ,sales_price
  from (select ws_sold_date_sk sold_date_sk
              ,ws_ext_sales_price sales_price
        from web_sales 
        union all
        select cs_sold_date_sk sold_date_sk
              ,cs_ext_sales_price sales_price
        from catalog_sales)),
 wswscs as 
 (select d_week_seq,
        sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
        sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
        sum(case when (d_day_name='Tuesday') then sales_price else  null end) tue_sales,
        sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
        sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
        sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
        sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
 from wscs
     ,date_dim
 where d_date_sk = sold_date_sk
 group by d_week_seq)
 select d_week_seq1
       ,round(sun_sales1/sun_sales2,2)
       ,round(mon_sales1/mon_sales2,2)
       ,round(tue_sales1/tue_sales2,2)
       ,round(wed_sales1/wed_sales2,2)
       ,round(thu_sales1/thu_sales2,2)
       ,round(fri_sales1/fri_sales2,2)
       ,round(sat_sales1/sat_sales2,2)
 from
 (select wswscs.d_week_seq d_week_seq1
        ,sun_sales sun_sales1
        ,mon_sales mon_sales1
        ,tue_sales tue_sales1
        ,wed_sales wed_sales1
        ,thu_sales thu_sales1
        ,fri_sales fri_sales1
        ,sat_sales sat_sales1
  from wswscs,date_dim 
  where date_dim.d_week_seq = wswscs.d_week_seq and
        d_year = 2001) y,
 (select wswscs.d_week_seq d_week_seq2
        ,sun_sales sun_sales2
        ,mon_sales mon_sales2
        ,tue_sales tue_sales2
        ,wed_sales wed_sales2
        ,thu_sales thu_sales2
        ,fri_sales fri_sales2
        ,sat_sales sat_sales2
  from wswscs
      ,date_dim 
  where date_dim.d_week_seq = wswscs.d_week_seq and
        d_year = 2001+1) z
 where d_week_seq1=d_week_seq2-53
 order by d_week_seq1;



with ssr as
 (select s_store_id,
        sum(sales_price) as sales,
        sum(profit) as profit,
        sum(return_amt) as returns,
        sum(net_loss) as profit_loss
 from
  ( select  ss_store_sk as store_sk,
            ss_sold_date_sk  as date_sk,
            ss_ext_sales_price as sales_price,
            ss_net_profit as profit,
            cast(0 as decimal(7,2)) as return_amt,
            cast(0 as decimal(7,2)) as net_loss
    from store_sales
    union all
    select sr_store_sk as store_sk,
           sr_returned_date_sk as date_sk,
           cast(0 as decimal(7,2)) as sales_price,
           cast(0 as decimal(7,2)) as profit,
           sr_return_amt as return_amt,
           sr_net_loss as net_loss
    from store_returns
   ) salesreturns,
     date_dim,
     store
 where date_sk = d_date_sk
       and d_date between cast('2001-08-04' as date) 
                  and (cast('2001-08-04' as date) +  14 days)
       and store_sk = s_store_sk
 group by s_store_id)
 ,
 csr as
 (select cp_catalog_page_id,
        sum(sales_price) as sales,
        sum(profit) as profit,
        sum(return_amt) as returns,
        sum(net_loss) as profit_loss
 from
  ( select  cs_catalog_page_sk as page_sk,
            cs_sold_date_sk  as date_sk,
            cs_ext_sales_price as sales_price,
            cs_net_profit as profit,
            cast(0 as decimal(7,2)) as return_amt,
            cast(0 as decimal(7,2)) as net_loss
    from catalog_sales
    union all
    select cr_catalog_page_sk as page_sk,
           cr_returned_date_sk as date_sk,
           cast(0 as decimal(7,2)) as sales_price,
           cast(0 as decimal(7,2)) as profit,
           cr_return_amount as return_amt,
           cr_net_loss as net_loss
    from catalog_returns
   ) salesreturns,
     date_dim,
     catalog_page
 where date_sk = d_date_sk
       and d_date between cast('2001-08-04' as date)
                  and (cast('2001-08-04' as date) +  14 days)
       and page_sk = cp_catalog_page_sk
 group by cp_catalog_page_id)
 ,
 wsr as
 (select web_site_id,
        sum(sales_price) as sales,
        sum(profit) as profit,
        sum(return_amt) as returns,
        sum(net_loss) as profit_loss
 from
  ( select  ws_web_site_sk as wsr_web_site_sk,
            ws_sold_date_sk  as date_sk,
            ws_ext_sales_price as sales_price,
            ws_net_profit as profit,
            cast(0 as decimal(7,2)) as return_amt,
            cast(0 as decimal(7,2)) as net_loss
    from web_sales
    union all
    select ws_web_site_sk as wsr_web_site_sk,
           wr_returned_date_sk as date_sk,
           cast(0 as decimal(7,2)) as sales_price,
           cast(0 as decimal(7,2)) as profit,
           wr_return_amt as return_amt,
           wr_net_loss as net_loss
    from web_returns left outer join web_sales on
         ( wr_item_sk = ws_item_sk
           and wr_order_number = ws_order_number)
   ) salesreturns,
     date_dim,
     web_site
 where date_sk = d_date_sk
       and d_date between cast('2001-08-04' as date)
                  and (cast('2001-08-04' as date) +  14 days)
       and wsr_web_site_sk = web_site_sk
 group by web_site_id)
  select  channel
        , id
        , sum(sales) as sales
        , sum(returns) as returns
        , sum(profit) as profit
 from 
 (select 'store channel' as channel
        , 'store' || s_store_id as id
        , sales
        , returns
        , (profit - profit_loss) as profit
 from   ssr
 union all
 select 'catalog channel' as channel
        , 'catalog_page' || cp_catalog_page_id as id
        , sales
        , returns
        , (profit - profit_loss) as profit
 from  csr
 union all
 select 'web channel' as channel
        , 'web_site' || web_site_id as id
        , sales
        , returns
        , (profit - profit_loss) as profit
 from   wsr
 ) x
 group by rollup (channel, id)
 order by channel
         ,id
 limit 100;



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 = 2002
 	        and d_moy = 1 )
 	and i.i_current_price > 1.2 * 
             (select avg(j.i_current_price) 
 	     from item j 
 	     where j.i_category = i.i_category)
 group by a.ca_state
 having count(*) >= 10
 order by cnt, a.ca_state 
 limit 100;



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 = 'M' and
       cd_education_status = 'College' and
       d_year = 1999 and
       s_state in ('MI','OH', 'MI', 'IN', 'AL', 'SD')
 )

  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;



select count(*) 
from ((select distinct c_last_name, c_first_name, d_date
       from store_sales, date_dim, customer
       where store_sales.ss_sold_date_sk = date_dim.d_date_sk
         and store_sales.ss_customer_sk = customer.c_customer_sk
         and d_month_seq between 1219 and 1219+11)
       except
      (select distinct c_last_name, c_first_name, d_date
       from catalog_sales, date_dim, customer
       where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
         and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
         and d_month_seq between 1219 and 1219+11)
       except
      (select distinct c_last_name, c_first_name, d_date
       from web_sales, date_dim, customer
       where web_sales.ws_sold_date_sk = date_dim.d_date_sk
         and web_sales.ws_bill_customer_sk = customer.c_customer_sk
         and d_month_seq between 1219 and 1219+11)
) cool_cust
;



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



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 ('2001-02-11','2001-10-20','2001-11-11')))
 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 ('2001-02-11','2001-10-20','2001-11-11')))
 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 ('2001-02-11','2001-10-20','2001-11-11')))
 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;



select  
        cc_call_center_id Call_Center,
        cc_name Call_Center_Name,
        cc_manager Manager,
        sum(cr_net_loss) Returns_Loss
from
        call_center,
        catalog_returns,
        date_dim,
        customer,
        customer_address,
        customer_demographics,
        household_demographics
where
        cr_call_center_sk       = cc_call_center_sk
and     cr_returned_date_sk     = d_date_sk
and     cr_returning_customer_sk= c_customer_sk
and     cd_demo_sk              = c_current_cdemo_sk
and     hd_demo_sk              = c_current_hdemo_sk
and     ca_address_sk           = c_current_addr_sk
and     d_year                  = 1998 
and     d_moy                   = 12
and     ( (cd_marital_status       = 'M' and cd_education_status     = 'Unknown')
        or(cd_marital_status       = 'W' and cd_education_status     = 'Advanced Degree'))
and     hd_buy_potential like 'Unknown%'
and     ca_gmt_offset           = -6
group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status
order by sum(cr_net_loss) desc;



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 140 and 140+10 
             or ss_coupon_amt between 11874 and 11874+1000
             or ss_wholesale_cost between 32 and 32+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 18 and 18+10
          or ss_coupon_amt between 9681 and 9681+1000
          or ss_wholesale_cost between 72 and 72+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 17 and 17+10
          or ss_coupon_amt between 17047 and 17047+1000
          or ss_wholesale_cost between 62 and 62+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 126 and 126+10
          or ss_coupon_amt between 14894 and 14894+1000
          or ss_wholesale_cost between 75 and 75+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 151 and 151+10
          or ss_coupon_amt between 15254 and 15254+1000
          or ss_wholesale_cost between 13 and 13+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 36 and 36+10
          or ss_coupon_amt between 16690 and 16690+1000
          or ss_wholesale_cost between 1 and 1+20)) B6
limit 100;



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 = 9 or
             household_demographics.hd_vehicle_count= 3)
        and date_dim.d_year in (1998,1998+1,1998+2)
        and store.s_city in ('Summit','Kingston')
       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;



select  s_store_name
      ,sum(ss_net_profit)
 from store_sales
     ,date_dim
     ,store,
     (select ca_zip
     from (
      SELECT substr(ca_zip,1,5) ca_zip
      FROM customer_address
      WHERE substr(ca_zip,1,5) IN (
                          '97248','65191','62734','28913','98318','18229',
                          '18716','46679','61270','22485','50017',
                          '66659','25699','51010','68188','79635',
                          '33145','76312','89812','16972','79642',
                          '48267','40671','74305','19757','54655',
                          '68232','53857','32416','27802','95014',
                          '84344','54380','91704','42624','99631',
                          '82051','88376','45863','36723','90135',
                          '89672','48897','62975','14764','18338',
                          '69150','79902','35409','58074','59493',
                          '79258','91691','81868','57415','61608',
                          '31025','83677','16246','41615','40237',
                          '45554','94044','73900','30116','46982',
                          '58664','39976','39301','47688','89721',
                          '14777','23113','86264','41312','95553',
                          '60465','10528','67361','77741','98042',
                          '54453','15237','54063','73378','36868',
                          '50866','26468','48610','64645','44022',
                          '66692','38242','92019','17054','47647',
                          '52533','38571','84313','64167','27583',
                          '12782','31582','61699','31986','21514',
                          '45068','71146','35321','93697','98700',
                          '75490','16255','55251','64333','20156',
                          '35483','37569','59982','55803','81309',
                          '22496','59450','60136','78786','51873',
                          '74661','21195','81467','69319','47524',
                          '99269','51135','33056','77716','71339',
                          '60772','69884','77463','50598','26922',
                          '13674','86098','20298','44652','13083',
                          '68384','98015','62879','47960','30786',
                          '16876','93506','85317','90045','49395',
                          '20825','61573','13810','57386','67228',
                          '96146','64349','36166','21076','51707',
                          '80556','40686','83918','83026','23842',
                          '32940','91031','18537','22342','56508',
                          '65144','84086','14749','68830','99419',
                          '68631','44470','34006','22681','36630',
                          '42601','74043','63468','33016','43046',
                          '29861','11986','93165','36927','66669',
                          '53481','35879','78643','72594','22774',
                          '39908','95164','99889','14756','36476',
                          '27669','45342','75700','16615','85166',
                          '10875','84384','35819','43106','65488',
                          '87271','83453','52323','31649','56858',
                          '43571','64913','93909','67573','68917',
                          '79232','15639','87348','73935','81369',
                          '76379','62464','10002','39415','35099',
                          '25472','27036','49631','44963','17603',
                          '82828','82177','28178','39856','74489',
                          '62834','38063','12805','27480','24617',
                          '94027','13947','13550','17159','18084',
                          '26788','80744','35638','68455','49696',
                          '80680','69663','69382','15362','30989',
                          '43575','19525','56410','85097','86065',
                          '22143','35431','92153','29891','26487',
                          '62037','20364','54717','95350','54569',
                          '86078','79224','76688','26895','23215',
                          '68189','85151','18161','38061','15168',
                          '85921','45794','21443','27175','21247',
                          '58480','63360','72939','17035','70823',
                          '86896','26619','61432','41693','92976',
                          '55356','64990','62292','35959','71983',
                          '90238','72198','63763','25567','41463',
                          '49347','86856','30815','85486','85281',
                          '84483','60540','98688','54760','31754',
                          '12173','17825','53751','65578','70421',
                          '58964','83533','91981','94457','23121',
                          '60269','85555','36154','65523','11406',
                          '86400','40129','47054','68887','70270',
                          '73056','40103','80532','20513','55050',
                          '37496','26751','90878','36661','65187',
                          '71434','71164','69450','93386','81429',
                          '33703','72979','89200','23042','99966',
                          '99457','45418','70369','74687','67515',
                          '92472','66522','72353','91034','38659',
                          '42933','92545','94253','50124','99276',
                          '27024','74411','40272','32741','45649',
                          '44011','83149','70949','46404','91967',
                          '64970','38154','72673','25855','70098',
                          '46458','89969','66424','29160')
     intersect
      select ca_zip
      from (SELECT substr(ca_zip,1,5) ca_zip,count(*) cnt
            FROM customer_address, customer
            WHERE ca_address_sk = c_current_addr_sk and
                  c_preferred_cust_flag='Y'
            group by ca_zip
            having count(*) > 10)A1)A2) V1
 where ss_store_sk = s_store_sk
  and ss_sold_date_sk = d_date_sk
  and d_qoy = 1 and d_year = 1999
  and (substr(s_zip,1,2) = substr(V1.ca_zip,1,2))
 group by s_store_name
 order by s_store_name
 limit 100;



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_hdemo_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price
         FROM store_sales, item, date_dim
         WHERE ss_hdemo_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_bill_hdemo_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price
         FROM web_sales, item, date_dim
         WHERE ws_bill_hdemo_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_bill_hdemo_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price
         FROM catalog_sales, item, date_dim
         WHERE cs_bill_hdemo_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;



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='Shoes'
       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='Shoes'
       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='Shoes') 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=2001
   AND prev_yr.d_year=2001-1
   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;



with ssr as
 (select  s_store_id as store_id,
          sum(ss_ext_sales_price) as sales,
          sum(coalesce(sr_return_amt, 0)) as returns,
          sum(ss_net_profit - coalesce(sr_net_loss, 0)) as profit
  from store_sales left outer join store_returns on
         (ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number),
     date_dim,
     store,
     item,
     promotion
 where ss_sold_date_sk = d_date_sk
       and d_date between cast('1998-08-21' as date) 
                  and (cast('1998-08-21' as date) +  30 days)
       and ss_store_sk = s_store_sk
       and ss_item_sk = i_item_sk
       and i_current_price > 50
       and ss_promo_sk = p_promo_sk
       and p_channel_tv = 'N'
 group by s_store_id)
 ,
 csr as
 (select  cp_catalog_page_id as catalog_page_id,
          sum(cs_ext_sales_price) as sales,
          sum(coalesce(cr_return_amount, 0)) as returns,
          sum(cs_net_profit - coalesce(cr_net_loss, 0)) as profit
  from catalog_sales left outer join catalog_returns on
         (cs_item_sk = cr_item_sk and cs_order_number = cr_order_number),
     date_dim,
     catalog_page,
     item,
     promotion
 where cs_sold_date_sk = d_date_sk
       and d_date between cast('1998-08-21' as date)
                  and (cast('1998-08-21' as date) +  30 days)
        and cs_catalog_page_sk = cp_catalog_page_sk
       and cs_item_sk = i_item_sk
       and i_current_price > 50
       and cs_promo_sk = p_promo_sk
       and p_channel_tv = 'N'
group by cp_catalog_page_id)
 ,
 wsr as
 (select  web_site_id,
          sum(ws_ext_sales_price) as sales,
          sum(coalesce(wr_return_amt, 0)) as returns,
          sum(ws_net_profit - coalesce(wr_net_loss, 0)) as profit
  from web_sales left outer join web_returns on
         (ws_item_sk = wr_item_sk and ws_order_number = wr_order_number),
     date_dim,
     web_site,
     item,
     promotion
 where ws_sold_date_sk = d_date_sk
       and d_date between cast('1998-08-21' as date)
                  and (cast('1998-08-21' as date) +  30 days)
        and ws_web_site_sk = web_site_sk
       and ws_item_sk = i_item_sk
       and i_current_price > 50
       and ws_promo_sk = p_promo_sk
       and p_channel_tv = 'N'
group by web_site_id)
  select  channel
        , id
        , sum(sales) as sales
        , sum(returns) as returns
        , sum(profit) as profit
 from 
 (select 'store channel' as channel
        , 'store' || store_id as id
        , sales
        , returns
        , profit
 from   ssr
 union all
 select 'catalog channel' as channel
        , 'catalog_page' || catalog_page_id as id
        , sales
        , returns
        , profit
 from  csr
 union all
 select 'web channel' as channel
        , 'web_site' || web_site_id as id
        , sales
        , returns
        , profit
 from   wsr
 ) x
 group by rollup (channel, id)
 order by channel
         ,id
 limit 100;



with customer_total_return as
(select sr_customer_sk as ctr_customer_sk
,sr_store_sk as ctr_store_sk
,sum(SR_STORE_CREDIT) as ctr_total_return
from store_returns
,date_dim
where sr_returned_date_sk = d_date_sk
and d_year =1998
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;



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 ('IN','OH','WI') 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 = 2004 and
                d_moy between 2 and 2+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 = 2004 and
                  d_moy between 2 and 2+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 = 2004 and
                  d_moy between 2 and 2+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;



select  i_item_id, 
        avg(cs_quantity) agg1,
        avg(cs_list_price) agg2,
        avg(cs_coupon_amt) agg3,
        avg(cs_sales_price) agg4 
 from catalog_sales, customer_demographics, date_dim, item, promotion
 where cs_sold_date_sk = d_date_sk and
       cs_item_sk = i_item_sk and
       cs_bill_cdemo_sk = cd_demo_sk and
       cs_promo_sk = p_promo_sk and
       cd_gender = 'M' and 
       cd_marital_status = 'U' and
       cd_education_status = 'Unknown' 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;



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_birth_country
 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_birth_country
limit 100;



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 = '2001Q1'
   and d1.d_date_sk = ss_sold_date_sk
   and i_item_sk = ss_item_sk
   and s_store_sk = ss_store_sk
   and ss_customer_sk = sr_customer_sk
   and ss_item_sk = sr_item_sk
   and ss_ticket_number = sr_ticket_number
   and sr_returned_date_sk = d2.d_date_sk
   and d2.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
   and sr_customer_sk = cs_bill_customer_sk
   and sr_item_sk = cs_item_sk
   and cs_sold_date_sk = d3.d_date_sk
   and d3.d_quarter_name in ('2001Q1','2001Q2','2001Q3')
 group by i_item_id
         ,i_item_desc
         ,s_state
 order by i_item_id
         ,i_item_desc
         ,s_state
limit 100;



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 (1178,1178+1,1178+2,1178+3,1178+4,1178+5,1178+6,1178+7,1178+8,1178+9,1178+10,1178+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;



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('2002-08-19' as date) 
                  and (cast('2002-08-19' as date) +  30 days) 
       and ss_store_sk = s_store_sk
 group by s_store_sk)
 ,
 sr as
 (select s_store_sk,
         sum(sr_return_amt) as returns,
         sum(sr_net_loss) as profit_loss
 from store_returns,
      date_dim,
      store
 where sr_returned_date_sk = d_date_sk
       and d_date between cast('2002-08-19' as date)
                  and (cast('2002-08-19' as date) +  30 days)
       and sr_store_sk = s_store_sk
 group by s_store_sk), 
 cs as
 (select cs_call_center_sk,
        sum(cs_ext_sales_price) as sales,
        sum(cs_net_profit) as profit
 from catalog_sales,
      date_dim
 where cs_sold_date_sk = d_date_sk
       and d_date between cast('2002-08-19' as date)
                  and (cast('2002-08-19' as date) +  30 days)
 group by cs_call_center_sk 
 ), 
 cr as
 (select cr_call_center_sk,
         sum(cr_return_amount) as returns,
         sum(cr_net_loss) as profit_loss
 from catalog_returns,
      date_dim
 where cr_returned_date_sk = d_date_sk
       and d_date between cast('2002-08-19' as date)
                  and (cast('2002-08-19' as date) +  30 days)
 group by cr_call_center_sk
 ), 
 ws as
 ( select wp_web_page_sk,
        sum(ws_ext_sales_price) as sales,
        sum(ws_net_profit) as profit
 from web_sales,
      date_dim,
      web_page
 where ws_sold_date_sk = d_date_sk
       and d_date between cast('2002-08-19' as date)
                  and (cast('2002-08-19' as date) +  30 days)
       and ws_web_page_sk = wp_web_page_sk
 group by wp_web_page_sk), 
 wr as
 (select wp_web_page_sk,
        sum(wr_return_amt) as returns,
        sum(wr_net_loss) as profit_loss
 from web_returns,
      date_dim,
      web_page
 where wr_returned_date_sk = d_date_sk
       and d_date between cast('2002-08-19' as date)
                  and (cast('2002-08-19' as date) +  30 days)
       and wr_web_page_sk = wp_web_page_sk
 group by wp_web_page_sk)
  select  channel
        , id
        , sum(sales) as sales
        , sum(returns) as returns
        , sum(profit) as profit
 from 
 (select 'store channel' as channel
        , ss.s_store_sk as id
        , sales
        , coalesce(returns, 0) as returns
        , (profit - coalesce(profit_loss,0)) as profit
 from   ss left join sr
        on  ss.s_store_sk = sr.s_store_sk
 union all
 select 'catalog channel' as channel
        , cs_call_center_sk as id
        , sales
        , returns
        , (profit - profit_loss) as profit
 from  cs
       , cr
 union all
 select 'web channel' as channel
        , ws.wp_web_page_sk as id
        , sales
        , coalesce(returns, 0) returns
        , (profit - coalesce(profit_loss,0)) as profit
 from   ws left join wr
        on  ws.wp_web_page_sk = wr.wp_web_page_sk
 ) x
 group by rollup (channel, id)
 order by channel
         ,id
 limit 100;



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=27
   and d_moy=12
   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 ;



select  *
 from(select w_warehouse_name
            ,i_item_id
            ,sum(case when (cast(d_date as date) < cast ('2001-05-18' as date))
	                then inv_quantity_on_hand 
                      else 0 end) as inv_before
            ,sum(case when (cast(d_date as date) >= cast ('2001-05-18' 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 ('2001-05-18' as date) - 30 days)
                    and (cast ('2001-05-18' as date) + 30 days)
   group by w_warehouse_name, i_item_id) x
 where (case when inv_before > 0 
             then inv_after / inv_before 
             else null
             end) between 2.0/3.0 and 3.0/2.0
 order by w_warehouse_name
         ,i_item_id
 limit 100;



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 = 2002
    and ss1.ca_county = ss2.ca_county
    and ss2.d_qoy = 2
    and ss2.d_year = 2002
 and ss2.ca_county = ss3.ca_county
    and ss3.d_qoy = 3
    and ss3.d_year = 2002
    and ss1.ca_county = ws1.ca_county
    and ws1.d_qoy = 1
    and ws1.d_year = 2002
    and ws1.ca_county = ws2.ca_county
    and ws2.d_qoy = 2
    and ws2.d_year = 2002
    and ws1.ca_county = ws3.ca_county
    and ws3.d_qoy = 3
    and ws3.d_year =2002
    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 web_q2_q3_increase;



select  ss_customer_sk
            ,sum(act_sales) sumsales
      from (select ss_item_sk
                  ,ss_ticket_number
                  ,ss_customer_sk
                  ,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price
                                                            else (ss_quantity*ss_sales_price) end act_sales
            from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk
                                                               and sr_ticket_number = ss_ticket_number)
                ,reason
            where sr_reason_sk = r_reason_sk
              and r_reason_desc = 'reason 33') t
      group by ss_customer_sk
      order by sumsales, ss_customer_sk
limit 100;



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 = 'Men'
         and i_class = 'shirts'
         and c_customer_sk = cs_or_ws_sales.customer_sk
         and d_moy = 4
         and d_year = 1998
 )
 , my_revenue as (
 select c_customer_sk,
        sum(ss_ext_sales_price) as revenue
 from   my_customers,
        store_sales,
        customer_address,
        store,
        date_dim
 where  c_current_addr_sk = ca_address_sk
        and ca_county = s_county
        and ca_state = s_state
        and ss_sold_date_sk = d_date_sk
        and c_customer_sk = ss_customer_sk
        and d_month_seq between (select distinct d_month_seq+1
                                 from   date_dim where d_year = 1998 and d_moy = 4)
                           and  (select distinct d_month_seq+3
                                 from   date_dim where d_year = 1998 and d_moy = 4)
 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;



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 =1999
      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=2
  and inv2.d_moy=2+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 =1999
      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=2
  and inv2.d_moy=2+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
;



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 ('Doniphan County','Valley County','Ford County','Calhoun County','Scioto 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 = 1999 and
                d_moy between 1 and 1+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 = 1999 and
                  d_moy between 1 and 1+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 = 1999 and
                  d_moy between 1 and 1+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;



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 = 1999
 group by ca_zip
 order by ca_zip
 limit 100;



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=40
 	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 ;



with  cross_items as
 (select i_item_sk ss_item_sk
 from item,
 (select iss.i_brand_id brand_id
     ,iss.i_class_id class_id
     ,iss.i_category_id category_id
 from store_sales
     ,item iss
     ,date_dim d1
 where ss_item_sk = iss.i_item_sk
   and ss_sold_date_sk = d1.d_date_sk
   and d1.d_year between 1998 AND 1998 + 2
 intersect 
 select ics.i_brand_id
     ,ics.i_class_id
     ,ics.i_category_id
 from catalog_sales
     ,item ics
     ,date_dim d2
 where cs_item_sk = ics.i_item_sk
   and cs_sold_date_sk = d2.d_date_sk
   and d2.d_year between 1998 AND 1998 + 2
 intersect
 select iws.i_brand_id
     ,iws.i_class_id
     ,iws.i_category_id
 from web_sales
     ,item iws
     ,date_dim d3
 where ws_item_sk = iws.i_item_sk
   and ws_sold_date_sk = d3.d_date_sk
   and d3.d_year between 1998 AND 1998 + 2)
 where i_brand_id = brand_id
      and i_class_id = class_id
      and i_category_id = category_id
),
 avg_sales as
 (select avg(quantity*list_price) average_sales
  from (select ss_quantity quantity
             ,ss_list_price list_price
       from store_sales
           ,date_dim
       where ss_sold_date_sk = d_date_sk
         and d_year between 1998 and 1998 + 2
       union all 
       select cs_quantity quantity 
             ,cs_list_price list_price
       from catalog_sales
           ,date_dim
       where cs_sold_date_sk = d_date_sk
         and d_year between 1998 and 1998 + 2 
       union all
       select ws_quantity quantity
             ,ws_list_price list_price
       from web_sales
           ,date_dim
       where ws_sold_date_sk = d_date_sk
         and d_year between 1998 and 1998 + 2) x)
  select  channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales)
 from(
       select 'store' channel, i_brand_id,i_class_id
             ,i_category_id,sum(ss_quantity*ss_list_price) sales
             , count(*) number_sales
       from store_sales
           ,item
           ,date_dim
       where ss_item_sk in (select ss_item_sk from cross_items)
         and ss_item_sk = i_item_sk
         and ss_sold_date_sk = d_date_sk
         and d_year = 1998+2 
         and d_moy = 11
       group by i_brand_id,i_class_id,i_category_id
       having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)
       union all
       select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity*cs_list_price) sales, count(*) number_sales
       from catalog_sales
           ,item
           ,date_dim
       where cs_item_sk in (select ss_item_sk from cross_items)
         and cs_item_sk = i_item_sk
         and cs_sold_date_sk = d_date_sk
         and d_year = 1998+2 
         and d_moy = 11
       group by i_brand_id,i_class_id,i_category_id
       having sum(cs_quantity*cs_list_price) > (select average_sales from avg_sales)
       union all
       select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity*ws_list_price) sales , count(*) number_sales
       from web_sales
           ,item
           ,date_dim
       where ws_item_sk in (select ss_item_sk from cross_items)
         and ws_item_sk = i_item_sk
         and ws_sold_date_sk = d_date_sk
         and d_year = 1998+2
         and d_moy = 11
       group by i_brand_id,i_class_id,i_category_id
       having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales)
 ) y
 group by rollup (channel, i_brand_id,i_class_id,i_category_id)
 order by channel,i_brand_id,i_class_id,i_category_id
 limit 100;
with  cross_items as
 (select i_item_sk ss_item_sk
 from item,
 (select iss.i_brand_id brand_id
     ,iss.i_class_id class_id
     ,iss.i_category_id category_id
 from store_sales
     ,item iss
     ,date_dim d1
 where ss_item_sk = iss.i_item_sk
   and ss_sold_date_sk = d1.d_date_sk
   and d1.d_year between 1998 AND 1998 + 2
 intersect
 select ics.i_brand_id
     ,ics.i_class_id
     ,ics.i_category_id
 from catalog_sales
     ,item ics
     ,date_dim d2
 where cs_item_sk = ics.i_item_sk
   and cs_sold_date_sk = d2.d_date_sk
   and d2.d_year between 1998 AND 1998 + 2
 intersect
 select iws.i_brand_id
     ,iws.i_class_id
     ,iws.i_category_id
 from web_sales
     ,item iws
     ,date_dim d3
 where ws_item_sk = iws.i_item_sk
   and ws_sold_date_sk = d3.d_date_sk
   and d3.d_year between 1998 AND 1998 + 2) x
 where i_brand_id = brand_id
      and i_class_id = class_id
      and i_category_id = category_id
),
 avg_sales as
(select avg(quantity*list_price) average_sales
  from (select ss_quantity quantity
             ,ss_list_price list_price
       from store_sales
           ,date_dim
       where ss_sold_date_sk = d_date_sk
         and d_year between 1998 and 1998 + 2
       union all
       select cs_quantity quantity
             ,cs_list_price list_price
       from catalog_sales
           ,date_dim
       where cs_sold_date_sk = d_date_sk
         and d_year between 1998 and 1998 + 2
       union all
       select ws_quantity quantity
             ,ws_list_price list_price
       from web_sales
           ,date_dim
       where ws_sold_date_sk = d_date_sk
         and d_year between 1998 and 1998 + 2) x)
  select  this_year.channel ty_channel
                           ,this_year.i_brand_id ty_brand
                           ,this_year.i_class_id ty_class
                           ,this_year.i_category_id ty_category
                           ,this_year.sales ty_sales
                           ,this_year.number_sales ty_number_sales
                           ,last_year.channel ly_channel
                           ,last_year.i_brand_id ly_brand
                           ,last_year.i_class_id ly_class
                           ,last_year.i_category_id ly_category
                           ,last_year.sales ly_sales
                           ,last_year.number_sales ly_number_sales 
 from
 (select 'store' channel, i_brand_id,i_class_id,i_category_id
        ,sum(ss_quantity*ss_list_price) sales, count(*) number_sales
 from store_sales 
     ,item
     ,date_dim
 where ss_item_sk in (select ss_item_sk from cross_items)
   and ss_item_sk = i_item_sk
   and ss_sold_date_sk = d_date_sk
   and d_week_seq = (select d_week_seq
                     from date_dim
                     where d_year = 1998 + 1
                       and d_moy = 12
                       and d_dom = 15)
 group by i_brand_id,i_class_id,i_category_id
 having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) this_year,
 (select 'store' channel, i_brand_id,i_class_id
        ,i_category_id, sum(ss_quantity*ss_list_price) sales, count(*) number_sales
 from store_sales
     ,item
     ,date_dim
 where ss_item_sk in (select ss_item_sk from cross_items)
   and ss_item_sk = i_item_sk
   and ss_sold_date_sk = d_date_sk
   and d_week_seq = (select d_week_seq
                     from date_dim
                     where d_year = 1998
                       and d_moy = 12
                       and d_dom = 15)
 group by i_brand_id,i_class_id,i_category_id
 having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) last_year
 where this_year.i_brand_id= last_year.i_brand_id
   and this_year.i_class_id = last_year.i_class_id
   and this_year.i_category_id = last_year.i_category_id
 order by this_year.channel, this_year.i_brand_id, this_year.i_class_id, this_year.i_category_id
 limit 100;



select  count(*) from (
    select distinct c_last_name, c_first_name, d_date
    from store_sales, date_dim, customer
          where store_sales.ss_sold_date_sk = date_dim.d_date_sk
      and store_sales.ss_customer_sk = customer.c_customer_sk
      and d_month_seq between 1186 and 1186 + 11
  intersect
    select distinct c_last_name, c_first_name, d_date
    from catalog_sales, date_dim, customer
          where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
      and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
      and d_month_seq between 1186 and 1186 + 11
  intersect
    select distinct c_last_name, c_first_name, d_date
    from web_sales, date_dim, customer
          where web_sales.ws_sold_date_sk = date_dim.d_date_sk
      and web_sales.ws_bill_customer_sk = customer.c_customer_sk
      and d_month_seq between 1186 and 1186 + 11
) hot_cust
limit 100;



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 ;



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 (1223,1223+1,1223+2,1223+3,1223+4,1223+5,1223+6,1223+7,1223+8,1223+9,1223+10,1223+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;



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



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 1223 and 1223 + 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;



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 1211 and 1211 + 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;



with frequent_ss_items as 
 (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
  from store_sales
      ,date_dim 
      ,item
  where ss_sold_date_sk = d_date_sk
    and ss_item_sk = i_item_sk 
    and d_year in (2000,2000+1,2000+2,2000+3)
  group by substr(i_item_desc,1,30),i_item_sk,d_date
  having count(*) >4),
 max_store_sales as
 (select max(csales) tpcds_cmax 
  from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales
        from store_sales
            ,customer
            ,date_dim 
        where ss_customer_sk = c_customer_sk
         and ss_sold_date_sk = d_date_sk
         and d_year in (2000,2000+1,2000+2,2000+3) 
        group by c_customer_sk)),
 best_ss_customer as
 (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
  from store_sales
      ,customer
  where ss_customer_sk = c_customer_sk
  group by c_customer_sk
  having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
  *
from
 max_store_sales))
  select  sum(sales)
 from (select cs_quantity*cs_list_price sales
       from catalog_sales
           ,date_dim 
       where d_year = 2000 
         and d_moy = 7 
         and cs_sold_date_sk = d_date_sk 
         and cs_item_sk in (select item_sk from frequent_ss_items)
         and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)
      union all
      select ws_quantity*ws_list_price sales
       from web_sales 
           ,date_dim 
       where d_year = 2000 
         and d_moy = 7 
         and ws_sold_date_sk = d_date_sk 
         and ws_item_sk in (select item_sk from frequent_ss_items)
         and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)) 
 limit 100;
with frequent_ss_items as
 (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
  from store_sales
      ,date_dim
      ,item
  where ss_sold_date_sk = d_date_sk
    and ss_item_sk = i_item_sk
    and d_year in (2000,2000 + 1,2000 + 2,2000 + 3)
  group by substr(i_item_desc,1,30),i_item_sk,d_date
  having count(*) >4),
 max_store_sales as
 (select max(csales) tpcds_cmax
  from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales
        from store_sales
            ,customer
            ,date_dim 
        where ss_customer_sk = c_customer_sk
         and ss_sold_date_sk = d_date_sk
         and d_year in (2000,2000+1,2000+2,2000+3)
        group by c_customer_sk)),
 best_ss_customer as
 (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
  from store_sales
      ,customer
  where ss_customer_sk = c_customer_sk
  group by c_customer_sk
  having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
  *
 from max_store_sales))
  select  c_last_name,c_first_name,sales
 from (select c_last_name,c_first_name,sum(cs_quantity*cs_list_price) sales
        from catalog_sales
            ,customer
            ,date_dim 
        where d_year = 2000 
         and d_moy = 7 
         and cs_sold_date_sk = d_date_sk 
         and cs_item_sk in (select item_sk from frequent_ss_items)
         and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)
         and cs_bill_customer_sk = c_customer_sk 
       group by c_last_name,c_first_name
      union all
      select c_last_name,c_first_name,sum(ws_quantity*ws_list_price) sales
       from web_sales
           ,customer
           ,date_dim 
       where d_year = 2000 
         and d_moy = 7 
         and ws_sold_date_sk = d_date_sk 
         and ws_item_sk in (select item_sk from frequent_ss_items)
         and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)
         and ws_bill_customer_sk = c_customer_sk
       group by c_last_name,c_first_name) 
     order by c_last_name,c_first_name,sales
  limit 100;



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 1209 and 1209 + 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;



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 =1999
   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 = 'TX'
       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;



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 1182 and 1182+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;



select  i_item_id
       ,i_item_desc
       ,i_current_price
 from item, inventory, date_dim, store_sales
 where i_current_price between 16 and 16+30
 and inv_item_sk = i_item_sk
 and d_date_sk=inv_date_sk
 and d_date between cast('2001-04-28' as date) and (cast('2001-04-28' as date) +  60 days)
 and i_manufact_id in (883,853,260,824)
 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;



select  
 i_item_id
 ,i_item_desc
 ,s_store_id
 ,s_store_name
 ,stddev_samp(ss_net_profit) as store_sales_profit
 ,stddev_samp(sr_net_loss) as store_returns_loss
 ,stddev_samp(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;



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 '2002-5-01' and 
           (cast('2002-5-01' as date) + 60 days)
and cs1.cs_ship_date_sk = d_date_sk
and cs1.cs_ship_addr_sk = ca_address_sk
and ca_state = 'ND'
and cs1.cs_call_center_sk = cc_call_center_sk
and cc_county in ('Levy County','Pennington County','Kittitas County','Franklin Parish',
                  'Wadena 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;



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 =2002
   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 = 'IA'
       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;



select  
   w_state
  ,i_item_id
  ,sum(case when (cast(d_date as date) < cast ('1999-03-11' as date)) 
 		then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_before
  ,sum(case when (cast(d_date as date) >= cast ('1999-03-11' as date)) 
 		then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_after
 from
   catalog_sales left outer join catalog_returns on
       (cs_order_number = cr_order_number 
        and cs_item_sk = cr_item_sk)
  ,warehouse 
  ,item
  ,date_dim
 where
     i_current_price between 0.99 and 1.49
 and i_item_sk          = cs_item_sk
 and cs_warehouse_sk    = w_warehouse_sk 
 and cs_sold_date_sk    = d_date_sk
 and d_date between (cast ('1999-03-11' as date) - 30 days)
                and (cast ('1999-03-11' as date) + 30 days) 
 group by
    w_state,i_item_id
 order by w_state,i_item_id
limit 100;



select  asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing
from(select *
     from (select item_sk,rank() over (order by rank_col asc) rnk
           from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col 
                 from store_sales ss1
                 where ss_store_sk = 124
                 group by ss_item_sk
                 having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
                                                  from store_sales
                                                  where ss_store_sk = 124
                                                    and ss_cdemo_sk is null
                                                  group by ss_store_sk))V1)V11
     where rnk  < 11) asceding,
    (select *
     from (select item_sk,rank() over (order by rank_col desc) rnk
           from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col
                 from store_sales ss1
                 where ss_store_sk = 124
                 group by ss_item_sk
                 having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
                                                  from store_sales
                                                  where ss_store_sk = 124
                                                    and ss_cdemo_sk is null
                                                  group by ss_store_sk))V2)V21
     where rnk  < 11) descending,
item i1,
item i2
where asceding.rnk = descending.rnk 
  and i1.i_item_sk=asceding.item_sk
  and i2.i_item_sk=descending.item_sk
order by asceding.rnk
limit 100;



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 = 1998
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;



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 = 'Electronics'
   and   (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')
   and   s_gmt_offset = -7
   and   d_year = 2000
   and   d_moy  = 12) 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 = 'Electronics'
   and   s_gmt_offset = -7
   and   d_year = 2000
   and   d_moy  = 12) all_sales
order by promotions, total
limit 100;



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 = 'W'
     and
     cd1.cd_marital_status = cd2.cd_marital_status
     and
     cd1.cd_education_status = 'Secondary'
     and 
     cd1.cd_education_status = cd2.cd_education_status
     and
     ws_sales_price between 100.00 and 150.00
    )
   or
    (
     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 50.00 and 100.00
    )
   or
    (
     cd1.cd_marital_status = 'S'
     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', 'CA', 'TX')
     and ws_net_profit between 100 and 200  
    )
    or
    (
     ca_country = 'United States'
     and
     ca_state in ('ND', 'AK', 'NM')
     and ws_net_profit between 150 and 300  
    )
    or
    (
     ca_country = 'United States'
     and
     ca_state in ('AR', 'KS', 'IL')
     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;



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 = '501-1000' or
         household_demographics.hd_buy_potential = '0-500')
    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 (2000,2000+1,2000+2)
    and store.s_county in ('Miller County','Cocke County','Barrow County','Tehama 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;



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 '1999-3-01' and 
           (cast('1999-3-01' as date) + 60 days)
and ws1.ws_ship_date_sk = d_date_sk
and ws1.ws_ship_addr_sk = ca_address_sk
and ca_state = 'IL'
and ws1.ws_web_site_sk = web_site_sk
and web_company_name = 'pri'
and ws1.ws_order_number in (select ws_order_number
                            from ws_wh)
and ws1.ws_order_number in (select wr_order_number
                            from web_returns,ws_wh
                            where wr_order_number = ws_wh.ws_order_number)
order by count(distinct ws_order_number)
limit 100;



select  c_customer_id as customer_id
       , coalesce(c_last_name,'') || ', ' || coalesce(c_first_name,'') as customername
 from customer
     ,customer_address
     ,customer_demographics
     ,household_demographics
     ,income_band
     ,store_returns
 where ca_city	        =  'Hillcrest'
   and c_current_addr_sk = ca_address_sk
   and ib_lower_bound   >=  43934
   and ib_upper_bound   <=  43934 + 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;



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 =  1998
   and t_s_secyear.dyear = 1998+1
   and t_c_firstyear.dyear =  1998
   and t_c_secyear.dyear =  1998+1
   and t_w_firstyear.dyear = 1998
   and t_w_secyear.dyear = 1998+1
   and t_s_firstyear.year_total > 0
   and t_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;



select  i_item_id
       ,i_item_desc
       ,i_current_price
 from item, inventory, date_dim, catalog_sales
 where i_current_price between 66 and 66 + 30
 and inv_item_sk = i_item_sk
 and d_date_sk=inv_date_sk
 and d_date between cast('1999-06-03' as date) and (cast('1999-06-03' as date) +  60 days)
 and i_manufact_id in (685,865,796,961)
 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;



select   
  ca_state,
  cd_gender,
  cd_marital_status,
  cd_dep_count,
  count(*) cnt1,
  max(cd_dep_count),
  stddev_samp(cd_dep_count),
  min(cd_dep_count),
  cd_dep_employed_count,
  count(*) cnt2,
  max(cd_dep_employed_count),
  stddev_samp(cd_dep_employed_count),
  min(cd_dep_employed_count),
  cd_dep_college_count,
  count(*) cnt3,
  max(cd_dep_college_count),
  stddev_samp(cd_dep_college_count),
  min(cd_dep_college_count)
 from
  customer c,customer_address ca,customer_demographics
 where
  c.c_current_addr_sk = ca.ca_address_sk and
  cd_demo_sk = c.c_current_cdemo_sk and 
  exists (select *
          from store_sales,date_dim
          where c.c_customer_sk = ss_customer_sk and
                ss_sold_date_sk = d_date_sk and
                d_year = 2002 and
                d_qoy < 4) and
   exists (select * from
	   (select ws_bill_customer_sk customsk
            from web_sales,date_dim
            where 
                  ws_sold_date_sk = d_date_sk and
                  d_year = 2002 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 = 2002 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;



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 '2000-3-01' and 
           (cast('2000-3-01' as date) + 60 days)
and ws1.ws_ship_date_sk = d_date_sk
and ws1.ws_ship_addr_sk = ca_address_sk
and ca_state = 'NC'
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;



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 = '2001-01-13'))
   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 = '2001-01-13'))
  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 = '2001-01-13'))
  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;



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 = 16
    and time_dim.t_minute >= 30
    and household_demographics.hd_dep_count = 7
    and store.s_store_name = 'ese'
order by count(*)
limit 100;



select  i_item_id
      ,i_item_desc 
      ,i_category 
      ,i_class 
      ,i_current_price
      ,sum(ws_ext_sales_price) as itemrevenue 
      ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
          (partition by i_class) as revenueratio
from	
	web_sales
    	,item 
    	,date_dim
where 
	ws_item_sk = i_item_sk 
  	and i_category in ('Sports', 'Shoes', 'Jewelry')
  	and ws_sold_date_sk = d_date_sk
	and d_date between cast('1998-06-27' as date) 
				and (cast('1998-06-27' as date) + 30 days)
group by 
	i_item_id
        ,i_item_desc 
        ,i_category
        ,i_class
        ,i_current_price
order by 
	i_category
        ,i_class
        ,i_item_id
        ,i_item_desc
        ,revenueratio
limit 100;



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              = 1998
 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              = 1998
 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 (1998,1998+1,1998+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;



select  i_product_name
             ,i_brand
             ,i_class
             ,i_category
             ,avg(inv_quantity_on_hand) qoh
       from inventory
           ,date_dim
           ,item
       where inv_date_sk=d_date_sk
              and inv_item_sk=i_item_sk
              and d_month_seq between 1208 and 1208 + 11
       group by rollup(i_product_name
                       ,i_brand
                       ,i_class
                       ,i_category)
order by qoh, i_product_name, i_brand, i_class, i_category
limit 100;



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 1214 and 1214+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 1214 and 1214+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;



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 = 2002 
    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 ('SC','KS','NE','LA',
                 'NE','CO','LA','SD')
 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;



select  s_store_name, s_store_id,
        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
 from date_dim, store_sales, store
 where d_date_sk = ss_sold_date_sk and
       s_store_sk = ss_store_sk and
       s_gmt_offset = -5 and
       d_year = 2002 
 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;



drop table q64_resultfile_2;
create table q64_resultfile_2 (
product_name    char(50),
store_name      varchar2(50),
store_zip       char(10),
b_street_number char(10),
b_street_name   varchar2(60),
b_city          varchar2(60),
b_zip           char(10),
c_street_number char(10),
c_street_name   varchar2(60),
c_city          varchar2(60),
c_zip           char(10),
syear1          int,
cnt1            bigint,
s11             decimal(38,2),
s21             decimal(38,2),
s31             decimal(38,2),
s12             decimal(38,2),
s22             decimal(38,2),
s32             decimal(38,2),
syear2          int,
cnt2            bigint
) row format delimited fields terminated by '|' ;
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 ('powder','chartreuse','midnight','blanched','lemon','sienna') and
         i_current_price between 1 and 1 + 10 and
         i_current_price between 1 + 1 and 1 + 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
)
insert into q64_resultfile_2
select cs1.product_name
     ,cs1.store_name
     ,cs1.store_zip
     ,cs1.b_street_number
     ,cs1.b_street_name
     ,cs1.b_city
     ,cs1.b_zip
     ,cs1.c_street_number
     ,cs1.c_street_name
     ,cs1.c_city
     ,cs1.c_zip
     ,cs1.syear
     ,cs1.cnt
     ,cs1.s1 as s11
     ,cs1.s2 as s21
     ,cs1.s3 as s31
     ,cs2.s1 as s12
     ,cs2.s2 as s22
     ,cs2.s3 as s32
     ,cs2.syear
     ,cs2.cnt
from cross_sales cs1,cross_sales cs2
where cs1.item_sk=cs2.item_sk and
     cs1.syear = 1999 and
     cs2.syear = 1999 + 1 and
     cs2.cnt <= cs1.cnt and
     cs1.store_name = cs2.store_name and
     cs1.store_zip = cs2.store_zip
order by cs1.product_name
       ,cs1.store_name
       ,cs2.cnt
       ,cs1.s1
       ,cs2.s1;



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 ('Children', 'Music', 'Jewelry')
   and cs_sold_date_sk = d_date_sk
 and d_date between cast('2002-06-14' as date) 
 				and (cast('2002-06-14' as date) + 30 days)
 group by i_item_id
         ,i_item_desc 
         ,i_category
         ,i_class
         ,i_current_price
 order by i_category
         ,i_class
         ,i_item_id
         ,i_item_desc
         ,revenueratio
limit 100;



with v1 as(
 select i_category, i_brand,
        cc_name,
        d_year, d_moy,
        sum(cs_sales_price) sum_sales,
        avg(sum(cs_sales_price)) over
          (partition by i_category, i_brand,
                     cc_name, d_year)
          avg_monthly_sales,
        rank() over
          (partition by i_category, i_brand,
                     cc_name
           order by d_year, d_moy) rn
 from item, catalog_sales, date_dim, call_center
 where cs_item_sk = i_item_sk and
       cs_sold_date_sk = d_date_sk and
       cc_call_center_sk= cs_call_center_sk and
       (
         d_year = 2000 or
         ( d_year = 2000-1 and d_moy =12) or
         ( d_year = 2000+1 and d_moy =1)
       )
 group by i_category, i_brand,
          cc_name , d_year, d_moy),
 v2 as(
 select v1.i_category, v1.i_brand
        ,v1.d_year
        ,v1.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, sum_sales
 limit 100;



select case when (select count(*) 
                  from store_sales 
                  where ss_quantity between 1 and 20) > 117463818
            then (select avg(ss_ext_tax) 
                  from store_sales 
                  where ss_quantity between 1 and 20) 
            else (select avg(ss_net_paid_inc_tax)
                  from store_sales
                  where ss_quantity between 1 and 20) end bucket1 ,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 21 and 40) > 84794284
            then (select avg(ss_ext_tax)
                  from store_sales
                  where ss_quantity between 21 and 40) 
            else (select avg(ss_net_paid_inc_tax)
                  from store_sales
                  where ss_quantity between 21 and 40) end bucket2,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 41 and 60) > 130149159
            then (select avg(ss_ext_tax)
                  from store_sales
                  where ss_quantity between 41 and 60)
            else (select avg(ss_net_paid_inc_tax)
                  from store_sales
                  where ss_quantity between 41 and 60) end bucket3,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 61 and 80) > 287710939
            then (select avg(ss_ext_tax)
                  from store_sales
                  where ss_quantity between 61 and 80)
            else (select avg(ss_net_paid_inc_tax)
                  from store_sales
                  where ss_quantity between 61 and 80) end bucket4,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 81 and 100) > 39220767
            then (select avg(ss_ext_tax)
                  from store_sales
                  where ss_quantity between 81 and 100)
            else (select avg(ss_net_paid_inc_tax)
                  from store_sales
                  where ss_quantity between 81 and 100) end bucket5
from reason
where r_reason_sk = 1
;



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=2001
 group by dt.d_year
 	,item.i_brand
 	,item.i_brand_id
 order by dt.d_year
 	,ext_price desc
 	,brand_id
limit 100 ;



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 = 2002
                         and d_moy = 11
 		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 = 2002
                         and d_moy = 11
                 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 = 2002
                         and d_moy = 11
 		group by sts.ss_item_sk
 	) in_store
 ) store
 where  (
 store.return_rank <= 10
 or 
 store.currency_rank <= 10
 )
 )
 order by 1,4,5,2
 limit 100;



select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
 	sum(ext_price) ext_price
 from item, (select ws_ext_sales_price as ext_price, 
                        ws_sold_date_sk as sold_date_sk,
                        ws_item_sk as sold_item_sk,
                        ws_sold_time_sk as time_sk  
                 from web_sales,date_dim
                 where d_date_sk = ws_sold_date_sk
                   and d_moy=11
                   and d_year=2001
                 union all
                 select cs_ext_sales_price as ext_price,
                        cs_sold_date_sk as sold_date_sk,
                        cs_item_sk as sold_item_sk,
                        cs_sold_time_sk as time_sk
                 from catalog_sales,date_dim
                 where d_date_sk = cs_sold_date_sk
                   and d_moy=11
                   and d_year=2001
                 union all
                 select ss_ext_sales_price as ext_price,
                        ss_sold_date_sk as sold_date_sk,
                        ss_item_sk as sold_item_sk,
                        ss_sold_time_sk as time_sk
                 from store_sales,date_dim
                 where d_date_sk = ss_sold_date_sk
                   and d_moy=11
                   and d_year=2001
                 ) 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
 ;



select  i_item_desc
      ,w_warehouse_name
      ,d1.d_week_seq
      ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
      ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
      ,count(*) total_cnt
from catalog_sales
join inventory on (cs_item_sk = inv_item_sk)
join warehouse on (w_warehouse_sk=inv_warehouse_sk)
join item on (i_item_sk = cs_item_sk)
join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
join date_dim d2 on (inv_date_sk = d2.d_date_sk)
join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
left outer join promotion on (cs_promo_sk=p_promo_sk)
left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
where d1.d_week_seq = d2.d_week_seq
  and inv_quantity_on_hand < cs_quantity 
  and d3.d_date > d1.d_date + 5
  and hd_buy_potential = '501-1000'
  and d1.d_year = 1998
  and cd_marital_status = 'W'
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;



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;



select  i_item_id, 
        avg(ss_quantity) agg1,
        avg(ss_list_price) agg2,
        avg(ss_coupon_amt) agg3,
        avg(ss_sales_price) agg4 
 from store_sales, customer_demographics, date_dim, item, promotion
 where ss_sold_date_sk = d_date_sk and
       ss_item_sk = i_item_sk and
       ss_cdemo_sk = cd_demo_sk and
       ss_promo_sk = p_promo_sk and
       cd_gender = 'M' and 
       cd_marital_status = 'M' and
       cd_education_status = '4 yr Degree' and
       (p_channel_email = 'N' or p_channel_event = 'N') and
       d_year = 2002 
 group by i_item_id
 order by i_item_id
 limit 100;



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 1215 and 1215 + 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 1215 and 1215 + 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;



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                  = 2000
 and     d_moy                   = 3
 and     ss_addr_sk              = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_manufact_id),
 cs as (
 select
          i_manufact_id,sum(cs_ext_sales_price) total_sales
 from
 	catalog_sales,
 	date_dim,
         customer_address,
         item
 where
         i_manufact_id               in (select
  i_manufact_id
from
 item
where i_category in ('Books'))
 and     cs_item_sk              = i_item_sk
 and     cs_sold_date_sk         = d_date_sk
 and     d_year                  = 2000
 and     d_moy                   = 3
 and     cs_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_manufact_id),
 ws as (
 select
          i_manufact_id,sum(ws_ext_sales_price) total_sales
 from
 	web_sales,
 	date_dim,
         customer_address,
         item
 where
         i_manufact_id               in (select
  i_manufact_id
from
 item
where i_category in ('Books'))
 and     ws_item_sk              = i_item_sk
 and     ws_sold_date_sk         = d_date_sk
 and     d_year                  = 2000
 and     d_moy                   = 3
 and     ws_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5
 group by i_manufact_id)
  select  i_manufact_id ,sum(total_sales) total_sales
 from  (select * from ss 
        union all
        select * from cs 
        union all
        select * from ws) tmp1
 group by i_manufact_id
 order by total_sales
limit 100;



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 = 9 or household_demographics.hd_vehicle_count > 2)
    and date_dim.d_dow = 1
    and date_dim.d_year in (1999,1999+1,1999+2) 
    and store.s_number_employees between 200 and 295
    group by ss_ticket_number,ss_customer_sk,ss_addr_sk,store.s_city) ms,customer
    where ss_customer_sk = c_customer_sk
 order by c_last_name,c_first_name,substr(s_city,1,30), profit
limit 100;



select  sum(cs_ext_discount_amt)  as "excess discount amount" 
from 
   catalog_sales 
   ,item i1 
   ,date_dim
where
i_manufact_id = 244
and i_item_sk = cs_item_sk 
and d_date between '2001-03-12' and 
        (cast('2001-03-12' as date) + 90 days)
and d_date_sk = cs_sold_date_sk 
and cs_ext_discount_amt  
     > ( 
         select 
            1.3 * avg(cs_ext_discount_amt) 
         from 
            catalog_sales 
           ,date_dim
         where 
              cs_item_sk = i1.i_item_sk 
          and d_date between '2001-03-12' and
                             (cast('2001-03-12' as date) + 90 days)
          and d_date_sk = cs_sold_date_sk 
      ) 
limit 100;



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;



select  i_item_id,
        ca_country,
        ca_state, 
        ca_county,
        avg( cast(cs_quantity as decimal(12,2))) agg1,
        avg( cast(cs_list_price as decimal(12,2))) agg2,
        avg( cast(cs_coupon_amt as decimal(12,2))) agg3,
        avg( cast(cs_sales_price as decimal(12,2))) agg4,
        avg( cast(cs_net_profit as decimal(12,2))) agg5,
        avg( cast(c_birth_year as decimal(12,2))) agg6,
        avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7
 from catalog_sales, customer_demographics cd1, 
      customer_demographics cd2, customer, customer_address, date_dim, item
 where cs_sold_date_sk = d_date_sk and
       cs_item_sk = i_item_sk and
       cs_bill_cdemo_sk = cd1.cd_demo_sk and
       cs_bill_customer_sk = c_customer_sk and
       cd1.cd_gender = 'M' and 
       cd1.cd_education_status = 'Unknown' and
       c_current_cdemo_sk = cd2.cd_demo_sk and
       c_current_addr_sk = ca_address_sk and
       c_birth_month in (3,12,5,9,11,4) and
       d_year = 2002 and
       ca_state in ('GA','KS','NE'
                   ,'VA','SC','TX','KY')
 group by rollup (i_item_id, ca_country, ca_state, ca_county)
 order by ca_country,
        ca_state, 
        ca_county,
	i_item_id
 limit 100;



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 1216 and 1216+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 1216 and 1216+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;



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 ('Jewelry'))
 and     ss_item_sk              = i_item_sk
 and     ss_sold_date_sk         = d_date_sk
 and     d_year                  = 2002
 and     d_moy                   = 10
 and     ss_addr_sk              = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 cs as (
 select
          i_item_id,sum(cs_ext_sales_price) total_sales
 from
 	catalog_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from
 item
where i_category in ('Jewelry'))
 and     cs_item_sk              = i_item_sk
 and     cs_sold_date_sk         = d_date_sk
 and     d_year                  = 2002
 and     d_moy                   = 10
 and     cs_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 ws as (
 select
          i_item_id,sum(ws_ext_sales_price) total_sales
 from
 	web_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from
 item
where i_category in ('Jewelry'))
 and     ws_item_sk              = i_item_sk
 and     ws_sold_date_sk         = d_date_sk
 and     d_year                  = 2002
 and     d_moy                   = 10
 and     ws_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5
 group by i_item_id)
  select   
  i_item_id
,sum(total_sales) total_sales
 from  (select * from ss 
        union all
        select * from cs 
        union all
        select * from ws) tmp1
 group by i_item_id
 order by i_item_id
      ,total_sales
 limit 100;



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 = '501-1000' or
         household_demographics.hd_buy_potential = 'Unknown')
    and household_demographics.hd_vehicle_count > 0
    and (case when household_demographics.hd_vehicle_count > 0 
	then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count 
	else null 
	end)  > 1.2
    and date_dim.d_year in (2000,2000+1,2000+2)
    and store.s_county in ('Halifax County','Levy County','Furnas County','Appanoose County',
                           'Montgomery County','Hubbard County','Chambers County','Marshall 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;



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 = 450
   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;



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 = 'Primary'
  and ss_sales_price between 50.00 and 100.00   
  and hd_dep_count = 1
     ) or 
     (ss_hdemo_sk=hd_demo_sk
  and cd_demo_sk = ss_cdemo_sk
  and cd_marital_status = 'W'
  and cd_education_status = '4 yr Degree'
  and ss_sales_price between 150.00 and 200.00 
  and hd_dep_count = 1  
     ))
 and((ss_addr_sk = ca_address_sk
  and ca_country = 'United States'
  and ca_state in ('ID', 'TN', 'KY')
  and ss_net_profit between 100 and 200  
     ) or
     (ss_addr_sk = ca_address_sk
  and ca_country = 'United States'
  and ca_state in ('OK', 'NC', 'TX')
  and ss_net_profit between 150 and 300  
     ) or
     (ss_addr_sk = ca_address_sk
  and ca_country = 'United States'
  and ca_state in ('IL', 'WV', 'OH')
  and ss_net_profit between 50 and 250  
     ))
;



select  distinct(i_product_name)
 from item i1
 where i_manufact_id between 778 and 778+40 
   and (select count(*) as item_cnt
        from item
        where (i_manufact = i1.i_manufact and
        ((i_category = 'Women' and 
        (i_color = 'grey' or i_color = 'drab') and 
        (i_units = 'Carton' or i_units = 'Cup') and
        (i_size = 'economy' or i_size = 'medium')
        ) or
        (i_category = 'Women' and
        (i_color = 'burlywood' or i_color = 'firebrick') and
        (i_units = 'Ounce' or i_units = 'Unknown') and
        (i_size = 'small' or i_size = 'extra large')
        ) or
        (i_category = 'Men' and
        (i_color = 'cyan' or i_color = 'lime') and
        (i_units = 'Pound' or i_units = 'Gross') and
        (i_size = 'large' or i_size = 'petite')
        ) or
        (i_category = 'Men' and
        (i_color = 'sky' or i_color = 'chocolate') and
        (i_units = 'Tbl' or i_units = 'Tsp') and
        (i_size = 'economy' or i_size = 'medium')
        ))) or
       (i_manufact = i1.i_manufact and
        ((i_category = 'Women' and 
        (i_color = 'forest' or i_color = 'cornflower') and 
        (i_units = 'Bunch' or i_units = 'Gram') and
        (i_size = 'economy' or i_size = 'medium')
        ) or
        (i_category = 'Women' and
        (i_color = 'lavender' or i_color = 'yellow') and
        (i_units = 'Oz' or i_units = 'Dozen') and
        (i_size = 'small' or i_size = 'extra large')
        ) or
        (i_category = 'Men' and
        (i_color = 'sandy' or i_color = 'sienna') and
        (i_units = 'Case' or i_units = 'N/A') and
        (i_size = 'large' or i_size = 'petite')
        ) or
        (i_category = 'Men' and
        (i_color = 'thistle' or i_color = 'tan') and
        (i_units = 'Pallet' or i_units = 'Box') and
        (i_size = 'economy' or i_size = 'medium')
        )))) > 0
 order by i_product_name
 limit 100;



select  
   sum(ws_ext_discount_amt)  as "Excess Discount Amount" 
from 
    web_sales 
   ,item i1 
   ,date_dim
where
i_manufact_id = 831
and i_item_sk = ws_item_sk 
and d_date between '1998-03-05' and 
        (cast('1998-03-05' as date) + 90 days)
and d_date_sk = ws_sold_date_sk 
and ws_ext_discount_amt  
     > ( 
         SELECT 
            1.3 * avg(ws_ext_discount_amt) 
         FROM 
            web_sales 
           ,date_dim
         WHERE 
              ws_item_sk = i1.i_item_sk 
          and d_date between '1998-03-05' and
                             (cast('1998-03-05' as date) + 90 days)
          and d_date_sk = ws_sold_date_sk 
      ) 
order by sum(ws_ext_discount_amt)
limit 100;



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
       ,min(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 (1998,1998+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
       ,min(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 (1998,1998+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 = 1998
         and t_s_secyear.year = 1998+1
         and t_w_firstyear.year = 1998
         and t_w_secyear.year = 1998+1
         and t_s_firstyear.year_total > 0
         and t_w_firstyear.year_total > 0
         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else 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 2,3,1
limit 100;



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 = 7 or
         household_demographics.hd_vehicle_count= 3)
    and date_dim.d_dow in (6,0)
    and date_dim.d_year in (2000,2000+1,2000+2) 
    and store.s_city in ('Needmore','Newport','Four Corners','Anderson','Oak Hill') 
    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;



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 (2001) and
        ((i_category in ('Electronics','Books','Jewelry') and
          i_class in ('wireless','mystery','jewelry boxes')
         )
      or (i_category in ('Home','Children','Women') and
          i_class in ('bedding','school-uniforms','maternity') 
        ))
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;



with v1 as(
 select i_category, i_brand,
        s_store_name, s_company_name,
        d_year, d_moy,
        sum(ss_sales_price) sum_sales,
        avg(sum(ss_sales_price)) over
          (partition by i_category, i_brand,
                     s_store_name, s_company_name, d_year)
          avg_monthly_sales,
        rank() over
          (partition by i_category, i_brand,
                     s_store_name, s_company_name
           order by d_year, d_moy) rn
 from item, store_sales, date_dim, store
 where ss_item_sk = i_item_sk and
       ss_sold_date_sk = d_date_sk and
       ss_store_sk = s_store_sk and
       (
         d_year = 1999 or
         ( d_year = 1999-1 and d_moy =12) or
         ( d_year = 1999+1 and d_moy =1)
       )
 group by i_category, i_brand,
          s_store_name, s_company_name,
          d_year, d_moy),
 v2 as(
 select v1.i_category
        ,v1.d_year
        ,v1.avg_monthly_sales
        ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
 from v1, v1 v1_lag, v1 v1_lead
 where v1.i_category = v1_lag.i_category and
       v1.i_category = v1_lead.i_category and
       v1.i_brand = v1_lag.i_brand and
       v1.i_brand = v1_lead.i_brand and
       v1.s_store_name = v1_lag.s_store_name and
       v1.s_store_name = v1_lead.s_store_name and
       v1.s_company_name = v1_lag.s_company_name and
       v1.s_company_name = v1_lead.s_company_name and
       v1.rn = v1_lag.rn + 1 and
       v1.rn = v1_lead.rn - 1)
  select  *
 from v2
 where  d_year = 1999 and    
        avg_monthly_sales > 0 and
        case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
 order by sum_sales - avg_monthly_sales, nsum
 limit 100;



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
 	,'ZOUROS' || ',' || 'USPS' as ship_carriers
       ,d_year as year
 	,sum(case when d_moy = 1 
 		then ws_ext_sales_price* ws_quantity else 0 end) as jan_sales
 	,sum(case when d_moy = 2 
 		then ws_ext_sales_price* ws_quantity else 0 end) as feb_sales
 	,sum(case when d_moy = 3 
 		then ws_ext_sales_price* ws_quantity else 0 end) as mar_sales
 	,sum(case when d_moy = 4 
 		then ws_ext_sales_price* ws_quantity else 0 end) as apr_sales
 	,sum(case when d_moy = 5 
 		then ws_ext_sales_price* ws_quantity else 0 end) as may_sales
 	,sum(case when d_moy = 6 
 		then ws_ext_sales_price* ws_quantity else 0 end) as jun_sales
 	,sum(case when d_moy = 7 
 		then ws_ext_sales_price* ws_quantity else 0 end) as jul_sales
 	,sum(case when d_moy = 8 
 		then ws_ext_sales_price* ws_quantity else 0 end) as aug_sales
 	,sum(case when d_moy = 9 
 		then ws_ext_sales_price* ws_quantity else 0 end) as sep_sales
 	,sum(case when d_moy = 10 
 		then ws_ext_sales_price* ws_quantity else 0 end) as oct_sales
 	,sum(case when d_moy = 11
 		then ws_ext_sales_price* ws_quantity else 0 end) as nov_sales
 	,sum(case when d_moy = 12
 		then ws_ext_sales_price* ws_quantity else 0 end) as dec_sales
 	,sum(case when d_moy = 1 
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as jan_net
 	,sum(case when d_moy = 2
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as feb_net
 	,sum(case when d_moy = 3 
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as mar_net
 	,sum(case when d_moy = 4 
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as apr_net
 	,sum(case when d_moy = 5 
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as may_net
 	,sum(case when d_moy = 6 
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as jun_net
 	,sum(case when d_moy = 7 
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as jul_net
 	,sum(case when d_moy = 8 
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as aug_net
 	,sum(case when d_moy = 9 
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as sep_net
 	,sum(case when d_moy = 10 
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as oct_net
 	,sum(case when d_moy = 11
 		then ws_net_paid_inc_ship * ws_quantity else 0 end) as nov_net
 	,sum(case when d_moy = 12
 		then ws_net_paid_inc_ship * 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 18535 and 18535+28800 
 	and sm_carrier in ('ZOUROS','USPS')
     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
 	,'ZOUROS' || ',' || 'USPS' as ship_carriers
       ,d_year as year
 	,sum(case when d_moy = 1 
 		then cs_sales_price* cs_quantity else 0 end) as jan_sales
 	,sum(case when d_moy = 2 
 		then cs_sales_price* cs_quantity else 0 end) as feb_sales
 	,sum(case when d_moy = 3 
 		then cs_sales_price* cs_quantity else 0 end) as mar_sales
 	,sum(case when d_moy = 4 
 		then cs_sales_price* cs_quantity else 0 end) as apr_sales
 	,sum(case when d_moy = 5 
 		then cs_sales_price* cs_quantity else 0 end) as may_sales
 	,sum(case when d_moy = 6 
 		then cs_sales_price* cs_quantity else 0 end) as jun_sales
 	,sum(case when d_moy = 7 
 		then cs_sales_price* cs_quantity else 0 end) as jul_sales
 	,sum(case when d_moy = 8 
 		then cs_sales_price* cs_quantity else 0 end) as aug_sales
 	,sum(case when d_moy = 9 
 		then cs_sales_price* cs_quantity else 0 end) as sep_sales
 	,sum(case when d_moy = 10 
 		then cs_sales_price* cs_quantity else 0 end) as oct_sales
 	,sum(case when d_moy = 11
 		then cs_sales_price* cs_quantity else 0 end) as nov_sales
 	,sum(case when d_moy = 12
 		then cs_sales_price* cs_quantity else 0 end) as dec_sales
 	,sum(case when d_moy = 1 
 		then cs_net_paid_inc_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 18535 AND 18535+28800 
 	and sm_carrier in ('ZOUROS','USPS')
     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;



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 = 2001
 and  
 (
  (
   cd_demo_sk = ss_cdemo_sk
   and 
   cd_marital_status = 'D'
   and 
   cd_education_status = 'Secondary'
   and 
   ss_sales_price between 100.00 and 150.00  
   )
 or
  (
  cd_demo_sk = ss_cdemo_sk
   and 
   cd_marital_status = 'W'
   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 = 'College'
   and 
   ss_sales_price between 150.00 and 200.00  
 )
 )
 and
 (
  (
  ss_addr_sk = ca_address_sk
  and
  ca_country = 'United States'
  and
  ca_state in ('CA', 'MN', 'IA')
  and ss_net_profit between 0 and 2000  
  )
 or
  (ss_addr_sk = ca_address_sk
  and
  ca_country = 'United States'
  and
  ca_state in ('VA', 'IN', 'KY')
  and ss_net_profit between 150 and 3000 
  )
 or
  (ss_addr_sk = ca_address_sk
  and
  ca_country = 'United States'
  and
  ca_state in ('WV', 'GA', 'MD')
  and ss_net_profit between 50 and 25000 
  )
 )
;


