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-- the License.  You may obtain a copy of the License at
--
--    http://www.apache.org/licenses/LICENSE-2.0
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-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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--

--q66.sql--

 select w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country,
    ship_carriers, year
 	  ,sum(jan_sales) as jan_sales
 	  ,sum(feb_sales) as feb_sales
 	  ,sum(mar_sales) as mar_sales
 	  ,sum(apr_sales) as apr_sales
 	  ,sum(may_sales) as may_sales
 	  ,sum(jun_sales) as jun_sales
 	  ,sum(jul_sales) as jul_sales
 	  ,sum(aug_sales) as aug_sales
 	  ,sum(sep_sales) as sep_sales
 	  ,sum(oct_sales) as oct_sales
 	  ,sum(nov_sales) as nov_sales
 	  ,sum(dec_sales) as dec_sales
 	  ,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot
 	  ,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot
 	  ,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot
 	  ,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot
 	  ,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot
 	  ,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot
 	  ,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot
 	  ,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot
 	  ,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot
 	  ,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot
 	  ,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot
 	  ,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot
 	  ,sum(jan_net) as jan_net
 	  ,sum(feb_net) as feb_net
 	  ,sum(mar_net) as mar_net
 	  ,sum(apr_net) as apr_net
 	  ,sum(may_net) as may_net
 	  ,sum(jun_net) as jun_net
 	  ,sum(jul_net) as jul_net
 	  ,sum(aug_net) as aug_net
 	  ,sum(sep_net) as sep_net
 	  ,sum(oct_net) as oct_net
 	  ,sum(nov_net) as nov_net
 	  ,sum(dec_net) as dec_net
 from (
    (select
 	    w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country
 	        ,concat('DHL', ',', 'BARIAN') as ship_carriers
      ,d_year as year
 	    ,sum(case when d_moy = 1 then ws_ext_sales_price * ws_quantity else 0 end) as jan_sales
 	    ,sum(case when d_moy = 2 then ws_ext_sales_price * ws_quantity else 0 end) as feb_sales
 	    ,sum(case when d_moy = 3 then ws_ext_sales_price * ws_quantity else 0 end) as mar_sales
 	    ,sum(case when d_moy = 4 then ws_ext_sales_price * ws_quantity else 0 end) as apr_sales
 	    ,sum(case when d_moy = 5 then ws_ext_sales_price * ws_quantity else 0 end) as may_sales
 	    ,sum(case when d_moy = 6 then ws_ext_sales_price * ws_quantity else 0 end) as jun_sales
 	    ,sum(case when d_moy = 7 then ws_ext_sales_price * ws_quantity else 0 end) as jul_sales
 	    ,sum(case when d_moy = 8 then ws_ext_sales_price * ws_quantity else 0 end) as aug_sales
 	    ,sum(case when d_moy = 9 then ws_ext_sales_price * ws_quantity else 0 end) as sep_sales
 	    ,sum(case when d_moy = 10 then ws_ext_sales_price * ws_quantity else 0 end) as oct_sales
 	    ,sum(case when d_moy = 11 then ws_ext_sales_price * ws_quantity else 0 end) as nov_sales
 	    ,sum(case when d_moy = 12 then ws_ext_sales_price * ws_quantity else 0 end) as dec_sales
 	    ,sum(case when d_moy = 1 then ws_net_paid * ws_quantity else 0 end) as jan_net
 	    ,sum(case when d_moy = 2 then ws_net_paid * ws_quantity else 0 end) as feb_net
 	    ,sum(case when d_moy = 3 then ws_net_paid * ws_quantity else 0 end) as mar_net
 	    ,sum(case when d_moy = 4 then ws_net_paid * ws_quantity else 0 end) as apr_net
 	    ,sum(case when d_moy = 5 then ws_net_paid * ws_quantity else 0 end) as may_net
 	    ,sum(case when d_moy = 6 then ws_net_paid * ws_quantity else 0 end) as jun_net
 	    ,sum(case when d_moy = 7 then ws_net_paid * ws_quantity else 0 end) as jul_net
 	    ,sum(case when d_moy = 8 then ws_net_paid * ws_quantity else 0 end) as aug_net
 	    ,sum(case when d_moy = 9 then ws_net_paid * ws_quantity else 0 end) as sep_net
 	    ,sum(case when d_moy = 10 then ws_net_paid * ws_quantity else 0 end) as oct_net
 	    ,sum(case when d_moy = 11 then ws_net_paid * ws_quantity else 0 end) as nov_net
 	    ,sum(case when d_moy = 12 then ws_net_paid * ws_quantity else 0 end) as dec_net
    from
      web_sales, warehouse, date_dim, time_dim, ship_mode
    where
      ws_warehouse_sk =  w_warehouse_sk
      and ws_sold_date_sk = d_date_sk
      and ws_sold_time_sk = t_time_sk
 	    and ws_ship_mode_sk = sm_ship_mode_sk
      and d_year = 2001
 	    and t_time between 30838 and 30838+28800
 	    and sm_carrier in ('DHL','BARIAN')
   group by
      w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country, d_year)
 union all
    (select w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country
 	        ,concat('DHL', ',', 'BARIAN') as ship_carriers
      ,d_year as year
 	    ,sum(case when d_moy = 1 then cs_sales_price * cs_quantity else 0 end) as jan_sales
 	    ,sum(case when d_moy = 2 then cs_sales_price * cs_quantity else 0 end) as feb_sales
 	    ,sum(case when d_moy = 3 then cs_sales_price * cs_quantity else 0 end) as mar_sales
 	    ,sum(case when d_moy = 4 then cs_sales_price * cs_quantity else 0 end) as apr_sales
 	    ,sum(case when d_moy = 5 then cs_sales_price * cs_quantity else 0 end) as may_sales
 	    ,sum(case when d_moy = 6 then cs_sales_price * cs_quantity else 0 end) as jun_sales
 	    ,sum(case when d_moy = 7 then cs_sales_price * cs_quantity else 0 end) as jul_sales
 	    ,sum(case when d_moy = 8 then cs_sales_price * cs_quantity else 0 end) as aug_sales
 	    ,sum(case when d_moy = 9 then cs_sales_price * cs_quantity else 0 end) as sep_sales
 	    ,sum(case when d_moy = 10 then cs_sales_price * cs_quantity else 0 end) as oct_sales
 	    ,sum(case when d_moy = 11 then cs_sales_price * cs_quantity else 0 end) as nov_sales
 	    ,sum(case when d_moy = 12 then cs_sales_price * cs_quantity else 0 end) as dec_sales
 	    ,sum(case when d_moy = 1 then cs_net_paid_inc_tax * cs_quantity else 0 end) as jan_net
 	    ,sum(case when d_moy = 2 then cs_net_paid_inc_tax * cs_quantity else 0 end) as feb_net
 	    ,sum(case when d_moy = 3 then cs_net_paid_inc_tax * cs_quantity else 0 end) as mar_net
 	    ,sum(case when d_moy = 4 then cs_net_paid_inc_tax * cs_quantity else 0 end) as apr_net
 	    ,sum(case when d_moy = 5 then cs_net_paid_inc_tax * cs_quantity else 0 end) as may_net
 	    ,sum(case when d_moy = 6 then cs_net_paid_inc_tax * cs_quantity else 0 end) as jun_net
 	    ,sum(case when d_moy = 7 then cs_net_paid_inc_tax * cs_quantity else 0 end) as jul_net
 	    ,sum(case when d_moy = 8 then cs_net_paid_inc_tax * cs_quantity else 0 end) as aug_net
 	    ,sum(case when d_moy = 9 then cs_net_paid_inc_tax * cs_quantity else 0 end) as sep_net
 	    ,sum(case when d_moy = 10 then cs_net_paid_inc_tax * cs_quantity else 0 end) as oct_net
 	    ,sum(case when d_moy = 11 then cs_net_paid_inc_tax * cs_quantity else 0 end) as nov_net
 	    ,sum(case when d_moy = 12 then cs_net_paid_inc_tax * cs_quantity else 0 end) as dec_net
     from
        catalog_sales, warehouse, date_dim, time_dim, ship_mode
     where
        cs_warehouse_sk =  w_warehouse_sk
        and cs_sold_date_sk = d_date_sk
        and cs_sold_time_sk = t_time_sk
 	      and cs_ship_mode_sk = sm_ship_mode_sk
        and d_year = 2001
 	      and t_time between 30838 AND 30838+28800
 	      and sm_carrier in ('DHL','BARIAN')
     group by
        w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country, d_year
     )
 ) x
 group by
    w_warehouse_name, w_warehouse_sq_ft, w_city, w_county, w_state, w_country,
    ship_carriers, year
 order by w_warehouse_name
 limit 100
            
