DSB Q050

select top 100
   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_moy = 2
	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
	and sr_store_sk = s_store_sk
	and d1.d_date between dateadd(day, -120, d2.d_date)
						 and d2.d_date
	and d1.d_dow = 1
	and s_state in ('IN','MS','WI')
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
;