-- Licensed to the Apache Software Foundation (ASF) under one
-- or more contributor license agreements.  See the NOTICE file
-- distributed with this work for additional information
-- regarding copyright ownership.  The ASF licenses this file
-- to you under the Apache License, Version 2.0 (the
-- "License"); you may not use this file except in compliance
-- with the License.  You may obtain a copy of the License at
--
--     http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.

select
         w_warehouse_name
 	,w_warehouse_sq_ft
 	,w_city
 	,w_county
 	,w_state
 	,w_country
        ,ship_carriers
        ,`year`
 	,sum(jan_sales) as jan_sales
 	,sum(feb_sales) as feb_sales
 	,sum(mar_sales) as mar_sales
 	,sum(apr_sales) as apr_sales
 	,sum(may_sales) as may_sales
 	,sum(jun_sales) as jun_sales
 	,sum(jul_sales) as jul_sales
 	,sum(aug_sales) as aug_sales
 	,sum(sep_sales) as sep_sales
 	,sum(oct_sales) as oct_sales
 	,sum(nov_sales) as nov_sales
 	,sum(dec_sales) as dec_sales
 	,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot
 	,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot
 	,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot
 	,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot
 	,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot
 	,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot
 	,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot
 	,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot
 	,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot
 	,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot
 	,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot
 	,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot
 	,sum(jan_net) as jan_net
 	,sum(feb_net) as feb_net
 	,sum(mar_net) as mar_net
 	,sum(apr_net) as apr_net
 	,sum(may_net) as may_net
 	,sum(jun_net) as jun_net
 	,sum(jul_net) as jul_net
 	,sum(aug_net) as aug_net
 	,sum(sep_net) as sep_net
 	,sum(oct_net) as oct_net
 	,sum(nov_net) as nov_net
 	,sum(dec_net) as dec_net
 from (
    (select
 	w_warehouse_name
 	,w_warehouse_sq_ft
 	,w_city
 	,w_county
 	,w_state
 	,w_country
 	,'DIAMOND' || ',' || 'AIRBORNE' as ship_carriers
       ,d_year as `year`
 	,sum(case when d_moy = 1
 		then ws_sales_price* ws_quantity else 0 end) as jan_sales
 	,sum(case when d_moy = 2
 		then ws_sales_price* ws_quantity else 0 end) as feb_sales
 	,sum(case when d_moy = 3
 		then ws_sales_price* ws_quantity else 0 end) as mar_sales
 	,sum(case when d_moy = 4
 		then ws_sales_price* ws_quantity else 0 end) as apr_sales
 	,sum(case when d_moy = 5
 		then ws_sales_price* ws_quantity else 0 end) as may_sales
 	,sum(case when d_moy = 6
 		then ws_sales_price* ws_quantity else 0 end) as jun_sales
 	,sum(case when d_moy = 7
 		then ws_sales_price* ws_quantity else 0 end) as jul_sales
 	,sum(case when d_moy = 8
 		then ws_sales_price* ws_quantity else 0 end) as aug_sales
 	,sum(case when d_moy = 9
 		then ws_sales_price* ws_quantity else 0 end) as sep_sales
 	,sum(case when d_moy = 10
 		then ws_sales_price* ws_quantity else 0 end) as oct_sales
 	,sum(case when d_moy = 11
 		then ws_sales_price* ws_quantity else 0 end) as nov_sales
 	,sum(case when d_moy = 12
 		then ws_sales_price* ws_quantity else 0 end) as dec_sales
 	,sum(case when d_moy = 1
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as jan_net
 	,sum(case when d_moy = 2
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as feb_net
 	,sum(case when d_moy = 3
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as mar_net
 	,sum(case when d_moy = 4
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as apr_net
 	,sum(case when d_moy = 5
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as may_net
 	,sum(case when d_moy = 6
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as jun_net
 	,sum(case when d_moy = 7
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as jul_net
 	,sum(case when d_moy = 8
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as aug_net
 	,sum(case when d_moy = 9
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as sep_net
 	,sum(case when d_moy = 10
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as oct_net
 	,sum(case when d_moy = 11
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as nov_net
 	,sum(case when d_moy = 12
 		then ws_net_paid_inc_tax * ws_quantity else 0 end) as dec_net
     from
          web_sales
         ,warehouse
         ,date_dim
         ,time_dim
 	  ,ship_mode
     where
            ws_warehouse_sk =  w_warehouse_sk
        and ws_sold_date_sk = d_date_sk
        and ws_sold_time_sk = t_time_sk
 	and ws_ship_mode_sk = sm_ship_mode_sk
        and d_year = 2002
 	and t_time between 49530 and 49530+28800
 	and sm_carrier in ('DIAMOND','AIRBORNE')
     group by
        w_warehouse_name
 	,w_warehouse_sq_ft
 	,w_city
 	,w_county
 	,w_state
 	,w_country
       ,d_year
 	)
 union all
    (select
 	w_warehouse_name
 	,w_warehouse_sq_ft
 	,w_city
 	,w_county
 	,w_state
 	,w_country
 	,'DIAMOND' || ',' || 'AIRBORNE' as ship_carriers
       ,d_year as `year`
 	,sum(case when d_moy = 1
 		then cs_ext_sales_price* cs_quantity else 0 end) as jan_sales
 	,sum(case when d_moy = 2
 		then cs_ext_sales_price* cs_quantity else 0 end) as feb_sales
 	,sum(case when d_moy = 3
 		then cs_ext_sales_price* cs_quantity else 0 end) as mar_sales
 	,sum(case when d_moy = 4
 		then cs_ext_sales_price* cs_quantity else 0 end) as apr_sales
 	,sum(case when d_moy = 5
 		then cs_ext_sales_price* cs_quantity else 0 end) as may_sales
 	,sum(case when d_moy = 6
 		then cs_ext_sales_price* cs_quantity else 0 end) as jun_sales
 	,sum(case when d_moy = 7
 		then cs_ext_sales_price* cs_quantity else 0 end) as jul_sales
 	,sum(case when d_moy = 8
 		then cs_ext_sales_price* cs_quantity else 0 end) as aug_sales
 	,sum(case when d_moy = 9
 		then cs_ext_sales_price* cs_quantity else 0 end) as sep_sales
 	,sum(case when d_moy = 10
 		then cs_ext_sales_price* cs_quantity else 0 end) as oct_sales
 	,sum(case when d_moy = 11
 		then cs_ext_sales_price* cs_quantity else 0 end) as nov_sales
 	,sum(case when d_moy = 12
 		then cs_ext_sales_price* cs_quantity else 0 end) as dec_sales
 	,sum(case when d_moy = 1
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jan_net
 	,sum(case when d_moy = 2
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as feb_net
 	,sum(case when d_moy = 3
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as mar_net
 	,sum(case when d_moy = 4
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as apr_net
 	,sum(case when d_moy = 5
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as may_net
 	,sum(case when d_moy = 6
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jun_net
 	,sum(case when d_moy = 7
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jul_net
 	,sum(case when d_moy = 8
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as aug_net
 	,sum(case when d_moy = 9
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as sep_net
 	,sum(case when d_moy = 10
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as oct_net
 	,sum(case when d_moy = 11
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as nov_net
 	,sum(case when d_moy = 12
 		then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as dec_net
     from
          catalog_sales
         ,warehouse
         ,date_dim
         ,time_dim
 	 ,ship_mode
     where
            cs_warehouse_sk =  w_warehouse_sk
        and cs_sold_date_sk = d_date_sk
        and cs_sold_time_sk = t_time_sk
 	and cs_ship_mode_sk = sm_ship_mode_sk
        and d_year = 2002
 	and t_time between 49530 AND 49530+28800
 	and sm_carrier in ('DIAMOND','AIRBORNE')
     group by
        w_warehouse_name
 	,w_warehouse_sq_ft
 	,w_city
 	,w_county
 	,w_state
 	,w_country
       ,d_year
     )
 ) x
 group by
        w_warehouse_name
 	,w_warehouse_sq_ft
 	,w_city
 	,w_county
 	,w_state
 	,w_country
 	,ship_carriers
       ,`year`
 order by w_warehouse_name
 limit 100