--q50.sql--

 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 `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_year = 2001
 and d2.d_moy  = 8
 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
 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