IHEII/sr_tpcds_exec huggingface dataset:
Query Q70 (degree of parallelism: 2)

select  
    sum(ss_net_profit) as total_sum
   ,s_state
   ,s_county
   ,grouping(s_state)+grouping(s_county) as lochierarchy
   ,rank() over (
 	partition by grouping(s_state)+grouping(s_county),
 	case when grouping(s_county) = 0 then s_state end 
 	order by sum(ss_net_profit) desc) as rank_within_parent
 from
    store_sales
   ,date_dim       d1
   ,store
 where
    d1.d_month_seq between 1200 and 1200+11
 and d1.d_date_sk = ss_sold_date_sk
 and s_store_sk  = ss_store_sk
 and s_state in
             ( select s_state
               from  (select s_state as s_state,
 			    rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking
                      from   store_sales, store, date_dim
                      where  d_month_seq between 1200 and 1200+11
 			    and d_date_sk = ss_sold_date_sk
 			    and s_store_sk  = ss_store_sk
                      group by s_state
                     ) tmp1 
               where ranking <= 5
             )
 group by rollup(s_state,s_county)
 order by
   lochierarchy desc
  ,case when lochierarchy = 0 then s_state end
  ,rank_within_parent
 limit 100;

Measured execution times:
4000MB: 5230
4000MB-sp(lt0.2/ts5/min10/max100): 5164
8000MB: 5203
8000MB-sp(lt0.2/ts5/min10/max100): 5187
Query Q70 (degree of parallelism: 4)

select  
    sum(ss_net_profit) as total_sum
   ,s_state
   ,s_county
   ,grouping(s_state)+grouping(s_county) as lochierarchy
   ,rank() over (
 	partition by grouping(s_state)+grouping(s_county),
 	case when grouping(s_county) = 0 then s_state end 
 	order by sum(ss_net_profit) desc) as rank_within_parent
 from
    store_sales
   ,date_dim       d1
   ,store
 where
    d1.d_month_seq between 1200 and 1200+11
 and d1.d_date_sk = ss_sold_date_sk
 and s_store_sk  = ss_store_sk
 and s_state in
             ( select s_state
               from  (select s_state as s_state,
 			    rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking
                      from   store_sales, store, date_dim
                      where  d_month_seq between 1200 and 1200+11
 			    and d_date_sk = ss_sold_date_sk
 			    and s_store_sk  = ss_store_sk
                      group by s_state
                     ) tmp1 
               where ranking <= 5
             )
 group by rollup(s_state,s_county)
 order by
   lochierarchy desc
  ,case when lochierarchy = 0 then s_state end
  ,rank_within_parent
 limit 100;

Measured execution times:
4000MB: 3660
4000MB-sp(lt0.2/ts5/min10/max100): 3672
8000MB: 3686
8000MB-sp(lt0.2/ts5/min10/max100): 3677
Query Q70 (degree of parallelism: 8)

select  
    sum(ss_net_profit) as total_sum
   ,s_state
   ,s_county
   ,grouping(s_state)+grouping(s_county) as lochierarchy
   ,rank() over (
 	partition by grouping(s_state)+grouping(s_county),
 	case when grouping(s_county) = 0 then s_state end 
 	order by sum(ss_net_profit) desc) as rank_within_parent
 from
    store_sales
   ,date_dim       d1
   ,store
 where
    d1.d_month_seq between 1200 and 1200+11
 and d1.d_date_sk = ss_sold_date_sk
 and s_store_sk  = ss_store_sk
 and s_state in
             ( select s_state
               from  (select s_state as s_state,
 			    rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking
                      from   store_sales, store, date_dim
                      where  d_month_seq between 1200 and 1200+11
 			    and d_date_sk = ss_sold_date_sk
 			    and s_store_sk  = ss_store_sk
                      group by s_state
                     ) tmp1 
               where ranking <= 5
             )
 group by rollup(s_state,s_county)
 order by
   lochierarchy desc
  ,case when lochierarchy = 0 then s_state end
  ,rank_within_parent
 limit 100;

Measured execution times:
4000MB: 3358
4000MB-sp(lt0.2/ts5/min10/max100): 3373
8000MB: 3366
8000MB-sp(lt0.2/ts5/min10/max100): 3392
Query Q71 (degree of parallelism: 2)

select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
 	sum(ext_price) ext_price
 from item, (select ws_ext_sales_price as ext_price, 
                        ws_sold_date_sk as sold_date_sk,
                        ws_item_sk as sold_item_sk,
                        ws_sold_time_sk as time_sk  
                 from web_sales,date_dim
                 where d_date_sk = ws_sold_date_sk
                   and d_moy=11
                   and d_year=1999
                 union all
                 select cs_ext_sales_price as ext_price,
                        cs_sold_date_sk as sold_date_sk,
                        cs_item_sk as sold_item_sk,
                        cs_sold_time_sk as time_sk
                 from catalog_sales,date_dim
                 where d_date_sk = cs_sold_date_sk
                   and d_moy=11
                   and d_year=1999
                 union all
                 select ss_ext_sales_price as ext_price,
                        ss_sold_date_sk as sold_date_sk,
                        ss_item_sk as sold_item_sk,
                        ss_sold_time_sk as time_sk
                 from store_sales,date_dim
                 where d_date_sk = ss_sold_date_sk
                   and d_moy=11
                   and d_year=1999
                 ) tmp,time_dim
 where
   sold_item_sk = i_item_sk
   and i_manager_id=1
   and time_sk = t_time_sk
   and (t_meal_time = 'breakfast' or t_meal_time = 'dinner')
 group by i_brand, i_brand_id,t_hour,t_minute
 order by ext_price desc, i_brand_id
 ;

Measured execution times:
4000MB: 1580
4000MB-sp(lt0.2/ts5/min10/max100): 1564
8000MB: 1550
8000MB-sp(lt0.2/ts5/min10/max100): 1538
Query Q71 (degree of parallelism: 4)

select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
 	sum(ext_price) ext_price
 from item, (select ws_ext_sales_price as ext_price, 
                        ws_sold_date_sk as sold_date_sk,
                        ws_item_sk as sold_item_sk,
                        ws_sold_time_sk as time_sk  
                 from web_sales,date_dim
                 where d_date_sk = ws_sold_date_sk
                   and d_moy=11
                   and d_year=1999
                 union all
                 select cs_ext_sales_price as ext_price,
                        cs_sold_date_sk as sold_date_sk,
                        cs_item_sk as sold_item_sk,
                        cs_sold_time_sk as time_sk
                 from catalog_sales,date_dim
                 where d_date_sk = cs_sold_date_sk
                   and d_moy=11
                   and d_year=1999
                 union all
                 select ss_ext_sales_price as ext_price,
                        ss_sold_date_sk as sold_date_sk,
                        ss_item_sk as sold_item_sk,
                        ss_sold_time_sk as time_sk
                 from store_sales,date_dim
                 where d_date_sk = ss_sold_date_sk
                   and d_moy=11
                   and d_year=1999
                 ) tmp,time_dim
 where
   sold_item_sk = i_item_sk
   and i_manager_id=1
   and time_sk = t_time_sk
   and (t_meal_time = 'breakfast' or t_meal_time = 'dinner')
 group by i_brand, i_brand_id,t_hour,t_minute
 order by ext_price desc, i_brand_id
 ;

Measured execution times:
4000MB: 1386
4000MB-sp(lt0.2/ts5/min10/max100): 1383
8000MB: 1392
8000MB-sp(lt0.2/ts5/min10/max100): 1362
Query Q71 (degree of parallelism: 8)

select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
 	sum(ext_price) ext_price
 from item, (select ws_ext_sales_price as ext_price, 
                        ws_sold_date_sk as sold_date_sk,
                        ws_item_sk as sold_item_sk,
                        ws_sold_time_sk as time_sk  
                 from web_sales,date_dim
                 where d_date_sk = ws_sold_date_sk
                   and d_moy=11
                   and d_year=1999
                 union all
                 select cs_ext_sales_price as ext_price,
                        cs_sold_date_sk as sold_date_sk,
                        cs_item_sk as sold_item_sk,
                        cs_sold_time_sk as time_sk
                 from catalog_sales,date_dim
                 where d_date_sk = cs_sold_date_sk
                   and d_moy=11
                   and d_year=1999
                 union all
                 select ss_ext_sales_price as ext_price,
                        ss_sold_date_sk as sold_date_sk,
                        ss_item_sk as sold_item_sk,
                        ss_sold_time_sk as time_sk
                 from store_sales,date_dim
                 where d_date_sk = ss_sold_date_sk
                   and d_moy=11
                   and d_year=1999
                 ) tmp,time_dim
 where
   sold_item_sk = i_item_sk
   and i_manager_id=1
   and time_sk = t_time_sk
   and (t_meal_time = 'breakfast' or t_meal_time = 'dinner')
 group by i_brand, i_brand_id,t_hour,t_minute
 order by ext_price desc, i_brand_id
 ;

Measured execution times:
4000MB: 1379
4000MB-sp(lt0.2/ts5/min10/max100): 1365
8000MB: 1383
8000MB-sp(lt0.2/ts5/min10/max100): 1395
Query Q72 (degree of parallelism: 2)

select  i_item_desc
      ,w_warehouse_name
      ,d1.d_week_seq
      ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
      ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
      ,count(*) total_cnt
from catalog_sales
join inventory on (cs_item_sk = inv_item_sk)
join warehouse on (w_warehouse_sk=inv_warehouse_sk)
join item on (i_item_sk = cs_item_sk)
join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
join date_dim d2 on (inv_date_sk = d2.d_date_sk)
join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
left outer join promotion on (cs_promo_sk=p_promo_sk)
left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
where d1.d_week_seq = d2.d_week_seq
  and inv_quantity_on_hand < cs_quantity 
  and d3.d_date > d1.d_date + 5
  and hd_buy_potential = '>10000'
  and d1.d_year = 1999
  and cd_marital_status = 'D'
group by i_item_desc,w_warehouse_name,d1.d_week_seq
order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
limit 100;

Measured execution times:
4000MB: 8878
4000MB-sp(lt0.2/ts5/min10/max100): 9004
8000MB: 8742
8000MB-sp(lt0.2/ts5/min10/max100): 8764
Query Q72 (degree of parallelism: 4)

select  i_item_desc
      ,w_warehouse_name
      ,d1.d_week_seq
      ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
      ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
      ,count(*) total_cnt
from catalog_sales
join inventory on (cs_item_sk = inv_item_sk)
join warehouse on (w_warehouse_sk=inv_warehouse_sk)
join item on (i_item_sk = cs_item_sk)
join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
join date_dim d2 on (inv_date_sk = d2.d_date_sk)
join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
left outer join promotion on (cs_promo_sk=p_promo_sk)
left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
where d1.d_week_seq = d2.d_week_seq
  and inv_quantity_on_hand < cs_quantity 
  and d3.d_date > d1.d_date + 5
  and hd_buy_potential = '>10000'
  and d1.d_year = 1999
  and cd_marital_status = 'D'
group by i_item_desc,w_warehouse_name,d1.d_week_seq
order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
limit 100;

Measured execution times:
4000MB: 5419
4000MB-sp(lt0.2/ts5/min10/max100): 5434
8000MB: 5342
8000MB-sp(lt0.2/ts5/min10/max100): 5376
Query Q72 (degree of parallelism: 8)

select  i_item_desc
      ,w_warehouse_name
      ,d1.d_week_seq
      ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo
      ,sum(case when p_promo_sk is not null then 1 else 0 end) promo
      ,count(*) total_cnt
from catalog_sales
join inventory on (cs_item_sk = inv_item_sk)
join warehouse on (w_warehouse_sk=inv_warehouse_sk)
join item on (i_item_sk = cs_item_sk)
join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk)
join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk)
join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk)
join date_dim d2 on (inv_date_sk = d2.d_date_sk)
join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk)
left outer join promotion on (cs_promo_sk=p_promo_sk)
left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number)
where d1.d_week_seq = d2.d_week_seq
  and inv_quantity_on_hand < cs_quantity 
  and d3.d_date > d1.d_date + 5
  and hd_buy_potential = '>10000'
  and d1.d_year = 1999
  and cd_marital_status = 'D'
group by i_item_desc,w_warehouse_name,d1.d_week_seq
order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
limit 100;

Measured execution times:
4000MB: 3089
4000MB-sp(lt0.2/ts5/min10/max100): 3111
8000MB: 3126
8000MB-sp(lt0.2/ts5/min10/max100): 3093
Query Q73 (degree of parallelism: 2)

select c_last_name
       ,c_first_name
       ,c_salutation
       ,c_preferred_cust_flag 
       ,ss_ticket_number
       ,cnt from
   (select ss_ticket_number
          ,ss_customer_sk
          ,count(*) cnt
    from store_sales,date_dim,store,household_demographics
    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
    and store_sales.ss_store_sk = store.s_store_sk  
    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
    and date_dim.d_dom between 1 and 2 
    and (household_demographics.hd_buy_potential = '>10000' or
         household_demographics.hd_buy_potential = 'Unknown')
    and household_demographics.hd_vehicle_count > 0
    and case when household_demographics.hd_vehicle_count > 0 then 
             household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1
    and date_dim.d_year in (1999,1999+1,1999+2)
    and store.s_county in ('Williamson County', 'Franklin Parish', 'Bronx County', 'Orange County')
    group by ss_ticket_number,ss_customer_sk) dj,customer
    where ss_customer_sk = c_customer_sk
      and cnt between 1 and 5
    order by cnt desc, c_last_name asc;

Measured execution times:
4000MB: 1605
4000MB-sp(lt0.2/ts5/min10/max100): 1590
8000MB: 1549
8000MB-sp(lt0.2/ts5/min10/max100): 1618
Query Q73 (degree of parallelism: 4)

select c_last_name
       ,c_first_name
       ,c_salutation
       ,c_preferred_cust_flag 
       ,ss_ticket_number
       ,cnt from
   (select ss_ticket_number
          ,ss_customer_sk
          ,count(*) cnt
    from store_sales,date_dim,store,household_demographics
    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
    and store_sales.ss_store_sk = store.s_store_sk  
    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
    and date_dim.d_dom between 1 and 2 
    and (household_demographics.hd_buy_potential = '>10000' or
         household_demographics.hd_buy_potential = 'Unknown')
    and household_demographics.hd_vehicle_count > 0
    and case when household_demographics.hd_vehicle_count > 0 then 
             household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1
    and date_dim.d_year in (1999,1999+1,1999+2)
    and store.s_county in ('Williamson County', 'Franklin Parish', 'Bronx County', 'Orange County')
    group by ss_ticket_number,ss_customer_sk) dj,customer
    where ss_customer_sk = c_customer_sk
      and cnt between 1 and 5
    order by cnt desc, c_last_name asc;

Measured execution times:
4000MB: 1017
4000MB-sp(lt0.2/ts5/min10/max100): 1021
8000MB: 1031
8000MB-sp(lt0.2/ts5/min10/max100): 1042
Query Q73 (degree of parallelism: 8)

select c_last_name
       ,c_first_name
       ,c_salutation
       ,c_preferred_cust_flag 
       ,ss_ticket_number
       ,cnt from
   (select ss_ticket_number
          ,ss_customer_sk
          ,count(*) cnt
    from store_sales,date_dim,store,household_demographics
    where store_sales.ss_sold_date_sk = date_dim.d_date_sk
    and store_sales.ss_store_sk = store.s_store_sk  
    and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
    and date_dim.d_dom between 1 and 2 
    and (household_demographics.hd_buy_potential = '>10000' or
         household_demographics.hd_buy_potential = 'Unknown')
    and household_demographics.hd_vehicle_count > 0
    and case when household_demographics.hd_vehicle_count > 0 then 
             household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1
    and date_dim.d_year in (1999,1999+1,1999+2)
    and store.s_county in ('Williamson County', 'Franklin Parish', 'Bronx County', 'Orange County')
    group by ss_ticket_number,ss_customer_sk) dj,customer
    where ss_customer_sk = c_customer_sk
      and cnt between 1 and 5
    order by cnt desc, c_last_name asc;

Measured execution times:
4000MB: 1008
4000MB-sp(lt0.2/ts5/min10/max100): 1031
8000MB: 1012
8000MB-sp(lt0.2/ts5/min10/max100): 1021
Query Q74 (degree of parallelism: 2)

with year_total as (
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,d_year as year
       ,sum(ss_net_paid) year_total
       ,'s' sale_type
 from customer
     ,store_sales
     ,date_dim
 where c_customer_sk = ss_customer_sk
   and ss_sold_date_sk = d_date_sk
   and d_year in (2001,2001+1)
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,d_year
 union all
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,d_year as year
       ,sum(ws_net_paid) year_total
       ,'w' sale_type
 from customer
     ,web_sales
     ,date_dim
 where c_customer_sk = ws_bill_customer_sk
   and ws_sold_date_sk = d_date_sk
   and d_year in (2001,2001+1)
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,d_year
         )
  select 
        t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name
 from year_total t_s_firstyear
     ,year_total t_s_secyear
     ,year_total t_w_firstyear
     ,year_total t_w_secyear
 where t_s_secyear.customer_id = t_s_firstyear.customer_id
         and t_s_firstyear.customer_id = t_w_secyear.customer_id
         and t_s_firstyear.customer_id = t_w_firstyear.customer_id
         and t_s_firstyear.sale_type = 's'
         and t_w_firstyear.sale_type = 'w'
         and t_s_secyear.sale_type = 's'
         and t_w_secyear.sale_type = 'w'
         and t_s_firstyear.year = 2001
         and t_s_secyear.year = 2001+1
         and t_w_firstyear.year = 2001
         and t_w_secyear.year = 2001+1
         and t_s_firstyear.year_total > 0
         and t_w_firstyear.year_total > 0
         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
           > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
 order by 1, 1, 1
limit 100;

Measured execution times:
4000MB: 7510
4000MB-sp(lt0.2/ts5/min10/max100): 7225
8000MB: 7276
8000MB-sp(lt0.2/ts5/min10/max100): 7179
Query Q74 (degree of parallelism: 4)

with year_total as (
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,d_year as year
       ,sum(ss_net_paid) year_total
       ,'s' sale_type
 from customer
     ,store_sales
     ,date_dim
 where c_customer_sk = ss_customer_sk
   and ss_sold_date_sk = d_date_sk
   and d_year in (2001,2001+1)
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,d_year
 union all
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,d_year as year
       ,sum(ws_net_paid) year_total
       ,'w' sale_type
 from customer
     ,web_sales
     ,date_dim
 where c_customer_sk = ws_bill_customer_sk
   and ws_sold_date_sk = d_date_sk
   and d_year in (2001,2001+1)
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,d_year
         )
  select 
        t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name
 from year_total t_s_firstyear
     ,year_total t_s_secyear
     ,year_total t_w_firstyear
     ,year_total t_w_secyear
 where t_s_secyear.customer_id = t_s_firstyear.customer_id
         and t_s_firstyear.customer_id = t_w_secyear.customer_id
         and t_s_firstyear.customer_id = t_w_firstyear.customer_id
         and t_s_firstyear.sale_type = 's'
         and t_w_firstyear.sale_type = 'w'
         and t_s_secyear.sale_type = 's'
         and t_w_secyear.sale_type = 'w'
         and t_s_firstyear.year = 2001
         and t_s_secyear.year = 2001+1
         and t_w_firstyear.year = 2001
         and t_w_secyear.year = 2001+1
         and t_s_firstyear.year_total > 0
         and t_w_firstyear.year_total > 0
         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
           > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
 order by 1, 1, 1
limit 100;

Measured execution times:
4000MB: -
4000MB-sp(lt0.2/ts5/min10/max100): 8831
8000MB: 6960
8000MB-sp(lt0.2/ts5/min10/max100): 6746
Query Q74 (degree of parallelism: 8)

with year_total as (
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,d_year as year
       ,sum(ss_net_paid) year_total
       ,'s' sale_type
 from customer
     ,store_sales
     ,date_dim
 where c_customer_sk = ss_customer_sk
   and ss_sold_date_sk = d_date_sk
   and d_year in (2001,2001+1)
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,d_year
 union all
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,d_year as year
       ,sum(ws_net_paid) year_total
       ,'w' sale_type
 from customer
     ,web_sales
     ,date_dim
 where c_customer_sk = ws_bill_customer_sk
   and ws_sold_date_sk = d_date_sk
   and d_year in (2001,2001+1)
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,d_year
         )
  select 
        t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name
 from year_total t_s_firstyear
     ,year_total t_s_secyear
     ,year_total t_w_firstyear
     ,year_total t_w_secyear
 where t_s_secyear.customer_id = t_s_firstyear.customer_id
         and t_s_firstyear.customer_id = t_w_secyear.customer_id
         and t_s_firstyear.customer_id = t_w_firstyear.customer_id
         and t_s_firstyear.sale_type = 's'
         and t_w_firstyear.sale_type = 'w'
         and t_s_secyear.sale_type = 's'
         and t_w_secyear.sale_type = 'w'
         and t_s_firstyear.year = 2001
         and t_s_secyear.year = 2001+1
         and t_w_firstyear.year = 2001
         and t_w_secyear.year = 2001+1
         and t_s_firstyear.year_total > 0
         and t_w_firstyear.year_total > 0
         and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
           > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
 order by 1, 1, 1
limit 100;

Measured execution times:
4000MB: -
4000MB-sp(lt0.2/ts5/min10/max100): 6776
8000MB: 6725
8000MB-sp(lt0.2/ts5/min10/max100): 6776