tpcds.query66.sql Maven / Gradle / Ivy
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An JDBC datasource implementation.
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