
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 30days 
  ,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 3160days 
  ,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 6190days 
  ,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 91120days 
  ,sum(case when (sr_returned_date_sk - ss_sold_date_sk  > 120) then 1 else 0 end)  as 120days 
from
   store_sales
  ,store_returns
  ,store
  ,date_dim d1
  ,date_dim d2
where
    d2.d_year = 2000
and d2.d_moy  = 9
and sr_returned_date between '2000-09-01' and '2000-09-30'
and store_sales.ss_ticket_number = store_returns.sr_ticket_number
and store_sales.ss_item_sk = store_returns.sr_item_sk
and store_sales.ss_sold_date_sk   = d1.d_date_sk
and sr_returned_date_sk   = d2.d_date_sk
and store_sales.ss_customer_sk = store_returns.sr_customer_sk
and store_sales.ss_store_sk = store.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;


