IHEII/sr_tpcds_exec huggingface dataset:
Query Q58 (degree of parallelism: 4)

with ss_items as
 (select i_item_id item_id
        ,sum(ss_ext_sales_price) ss_item_rev 
 from store_sales
     ,item
     ,date_dim
 where ss_item_sk = i_item_sk
   and d_date in (select d_date
                  from date_dim
                  where d_week_seq = (select d_week_seq 
                                      from date_dim
                                      where d_date = '2000-01-03'))
   and ss_sold_date_sk   = d_date_sk
 group by i_item_id),
 cs_items as
 (select i_item_id item_id
        ,sum(cs_ext_sales_price) cs_item_rev
  from catalog_sales
      ,item
      ,date_dim
 where cs_item_sk = i_item_sk
  and  d_date in (select d_date
                  from date_dim
                  where d_week_seq = (select d_week_seq 
                                      from date_dim
                                      where d_date = '2000-01-03'))
  and  cs_sold_date_sk = d_date_sk
 group by i_item_id),
 ws_items as
 (select i_item_id item_id
        ,sum(ws_ext_sales_price) ws_item_rev
  from web_sales
      ,item
      ,date_dim
 where ws_item_sk = i_item_sk
  and  d_date in (select d_date
                  from date_dim
                  where d_week_seq =(select d_week_seq 
                                     from date_dim
                                     where d_date = '2000-01-03'))
  and ws_sold_date_sk   = d_date_sk
 group by i_item_id)
  select  ss_items.item_id
       ,ss_item_rev
       ,ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev
       ,cs_item_rev
       ,cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev
       ,ws_item_rev
       ,ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev
       ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average
 from ss_items,cs_items,ws_items
 where ss_items.item_id=cs_items.item_id
   and ss_items.item_id=ws_items.item_id 
   and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
   and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
   and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
   and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
   and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
   and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
 order by item_id
         ,ss_item_rev
 limit 100;

Measured execution times:
4000MB: 1172
4000MB-sp(lt0.2/ts5/min10/max100): 1188
8000MB: 1175
8000MB-sp(lt0.2/ts5/min10/max100): 1182
Query Q58 (degree of parallelism: 8)

with ss_items as
 (select i_item_id item_id
        ,sum(ss_ext_sales_price) ss_item_rev 
 from store_sales
     ,item
     ,date_dim
 where ss_item_sk = i_item_sk
   and d_date in (select d_date
                  from date_dim
                  where d_week_seq = (select d_week_seq 
                                      from date_dim
                                      where d_date = '2000-01-03'))
   and ss_sold_date_sk   = d_date_sk
 group by i_item_id),
 cs_items as
 (select i_item_id item_id
        ,sum(cs_ext_sales_price) cs_item_rev
  from catalog_sales
      ,item
      ,date_dim
 where cs_item_sk = i_item_sk
  and  d_date in (select d_date
                  from date_dim
                  where d_week_seq = (select d_week_seq 
                                      from date_dim
                                      where d_date = '2000-01-03'))
  and  cs_sold_date_sk = d_date_sk
 group by i_item_id),
 ws_items as
 (select i_item_id item_id
        ,sum(ws_ext_sales_price) ws_item_rev
  from web_sales
      ,item
      ,date_dim
 where ws_item_sk = i_item_sk
  and  d_date in (select d_date
                  from date_dim
                  where d_week_seq =(select d_week_seq 
                                     from date_dim
                                     where d_date = '2000-01-03'))
  and ws_sold_date_sk   = d_date_sk
 group by i_item_id)
  select  ss_items.item_id
       ,ss_item_rev
       ,ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev
       ,cs_item_rev
       ,cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev
       ,ws_item_rev
       ,ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev
       ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average
 from ss_items,cs_items,ws_items
 where ss_items.item_id=cs_items.item_id
   and ss_items.item_id=ws_items.item_id 
   and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
   and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
   and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
   and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
   and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
   and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
 order by item_id
         ,ss_item_rev
 limit 100;

Measured execution times:
4000MB: 1167
4000MB-sp(lt0.2/ts5/min10/max100): 1229
8000MB: 1180
8000MB-sp(lt0.2/ts5/min10/max100): 1219
Query Q59 (degree of parallelism: 2)

with wss as 
 (select d_week_seq,
        ss_store_sk,
        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
 from store_sales,date_dim
 where d_date_sk = ss_sold_date_sk
 group by d_week_seq,ss_store_sk
 )
  select  s_store_name1,s_store_id1,d_week_seq1
       ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
       ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2
       ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
 from
 (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
        ,s_store_id s_store_id1,sun_sales sun_sales1
        ,mon_sales mon_sales1,tue_sales tue_sales1
        ,wed_sales wed_sales1,thu_sales thu_sales1
        ,fri_sales fri_sales1,sat_sales sat_sales1
  from wss,store,date_dim d
  where d.d_week_seq = wss.d_week_seq and
        ss_store_sk = s_store_sk and 
        d_month_seq between 1212 and 1212 + 11) y,
 (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
        ,s_store_id s_store_id2,sun_sales sun_sales2
        ,mon_sales mon_sales2,tue_sales tue_sales2
        ,wed_sales wed_sales2,thu_sales thu_sales2
        ,fri_sales fri_sales2,sat_sales sat_sales2
  from wss,store,date_dim d
  where d.d_week_seq = wss.d_week_seq and
        ss_store_sk = s_store_sk and 
        d_month_seq between 1212+ 12 and 1212 + 23) x
 where s_store_id1=s_store_id2
   and d_week_seq1=d_week_seq2-52
 order by s_store_name1,s_store_id1,d_week_seq1
limit 100;

Measured execution times:
4000MB: 6824
4000MB-sp(lt0.2/ts5/min10/max100): 7601
8000MB: 6923
8000MB-sp(lt0.2/ts5/min10/max100): 6876
Query Q59 (degree of parallelism: 4)

with wss as 
 (select d_week_seq,
        ss_store_sk,
        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
 from store_sales,date_dim
 where d_date_sk = ss_sold_date_sk
 group by d_week_seq,ss_store_sk
 )
  select  s_store_name1,s_store_id1,d_week_seq1
       ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
       ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2
       ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
 from
 (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
        ,s_store_id s_store_id1,sun_sales sun_sales1
        ,mon_sales mon_sales1,tue_sales tue_sales1
        ,wed_sales wed_sales1,thu_sales thu_sales1
        ,fri_sales fri_sales1,sat_sales sat_sales1
  from wss,store,date_dim d
  where d.d_week_seq = wss.d_week_seq and
        ss_store_sk = s_store_sk and 
        d_month_seq between 1212 and 1212 + 11) y,
 (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
        ,s_store_id s_store_id2,sun_sales sun_sales2
        ,mon_sales mon_sales2,tue_sales tue_sales2
        ,wed_sales wed_sales2,thu_sales thu_sales2
        ,fri_sales fri_sales2,sat_sales sat_sales2
  from wss,store,date_dim d
  where d.d_week_seq = wss.d_week_seq and
        ss_store_sk = s_store_sk and 
        d_month_seq between 1212+ 12 and 1212 + 23) x
 where s_store_id1=s_store_id2
   and d_week_seq1=d_week_seq2-52
 order by s_store_name1,s_store_id1,d_week_seq1
limit 100;

Measured execution times:
4000MB: 4760
4000MB-sp(lt0.2/ts5/min10/max100): 4600
8000MB: 4670
8000MB-sp(lt0.2/ts5/min10/max100): 4662
Query Q59 (degree of parallelism: 8)

with wss as 
 (select d_week_seq,
        ss_store_sk,
        sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
        sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
        sum(case when (d_day_name='Tuesday') then ss_sales_price else  null end) tue_sales,
        sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
        sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
        sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
        sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
 from store_sales,date_dim
 where d_date_sk = ss_sold_date_sk
 group by d_week_seq,ss_store_sk
 )
  select  s_store_name1,s_store_id1,d_week_seq1
       ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
       ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2
       ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
 from
 (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
        ,s_store_id s_store_id1,sun_sales sun_sales1
        ,mon_sales mon_sales1,tue_sales tue_sales1
        ,wed_sales wed_sales1,thu_sales thu_sales1
        ,fri_sales fri_sales1,sat_sales sat_sales1
  from wss,store,date_dim d
  where d.d_week_seq = wss.d_week_seq and
        ss_store_sk = s_store_sk and 
        d_month_seq between 1212 and 1212 + 11) y,
 (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
        ,s_store_id s_store_id2,sun_sales sun_sales2
        ,mon_sales mon_sales2,tue_sales tue_sales2
        ,wed_sales wed_sales2,thu_sales thu_sales2
        ,fri_sales fri_sales2,sat_sales sat_sales2
  from wss,store,date_dim d
  where d.d_week_seq = wss.d_week_seq and
        ss_store_sk = s_store_sk and 
        d_month_seq between 1212+ 12 and 1212 + 23) x
 where s_store_id1=s_store_id2
   and d_week_seq1=d_week_seq2-52
 order by s_store_name1,s_store_id1,d_week_seq1
limit 100;

Measured execution times:
4000MB: 3916
4000MB-sp(lt0.2/ts5/min10/max100): 3547
8000MB: 3968
8000MB-sp(lt0.2/ts5/min10/max100): 4016
Query Q60 (degree of parallelism: 2)

with ss as (
 select
          i_item_id,sum(ss_ext_sales_price) total_sales
 from
 	store_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id in (select
  i_item_id
from
 item
where i_category in ('Music'))
 and     ss_item_sk              = i_item_sk
 and     ss_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 9
 and     ss_addr_sk              = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 cs as (
 select
          i_item_id,sum(cs_ext_sales_price) total_sales
 from
 	catalog_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from
 item
where i_category in ('Music'))
 and     cs_item_sk              = i_item_sk
 and     cs_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 9
 and     cs_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 ws as (
 select
          i_item_id,sum(ws_ext_sales_price) total_sales
 from
 	web_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from
 item
where i_category in ('Music'))
 and     ws_item_sk              = i_item_sk
 and     ws_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 9
 and     ws_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5
 group by i_item_id)
  select   
  i_item_id
,sum(total_sales) total_sales
 from  (select * from ss 
        union all
        select * from cs 
        union all
        select * from ws) tmp1
 group by i_item_id
 order by i_item_id
      ,total_sales
 limit 100;

SELECT 
    COUNT(*) AS total_pairs,
    COUNT(DISTINCT CONCAT(i_brand, i_brand_id)) AS unique_pairs
FROM item
WHERE i_manufact_id = 128;

Measured execution times:
4000MB: 1546
4000MB-sp(lt0.2/ts5/min10/max100): 1613
8000MB: 1539
8000MB-sp(lt0.2/ts5/min10/max100): 1588
Query Q60 (degree of parallelism: 4)

with ss as (
 select
          i_item_id,sum(ss_ext_sales_price) total_sales
 from
 	store_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id in (select
  i_item_id
from
 item
where i_category in ('Music'))
 and     ss_item_sk              = i_item_sk
 and     ss_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 9
 and     ss_addr_sk              = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 cs as (
 select
          i_item_id,sum(cs_ext_sales_price) total_sales
 from
 	catalog_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from
 item
where i_category in ('Music'))
 and     cs_item_sk              = i_item_sk
 and     cs_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 9
 and     cs_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 ws as (
 select
          i_item_id,sum(ws_ext_sales_price) total_sales
 from
 	web_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from
 item
where i_category in ('Music'))
 and     ws_item_sk              = i_item_sk
 and     ws_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 9
 and     ws_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5
 group by i_item_id)
  select   
  i_item_id
,sum(total_sales) total_sales
 from  (select * from ss 
        union all
        select * from cs 
        union all
        select * from ws) tmp1
 group by i_item_id
 order by i_item_id
      ,total_sales
 limit 100;

SELECT 
    COUNT(*) AS total_pairs,
    COUNT(DISTINCT CONCAT(i_brand, i_brand_id)) AS unique_pairs
FROM item
WHERE i_manufact_id = 128;

Measured execution times:
4000MB: 1416
4000MB-sp(lt0.2/ts5/min10/max100): 1460
8000MB: 1488
8000MB-sp(lt0.2/ts5/min10/max100): 1435
Query Q60 (degree of parallelism: 8)

with ss as (
 select
          i_item_id,sum(ss_ext_sales_price) total_sales
 from
 	store_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id in (select
  i_item_id
from
 item
where i_category in ('Music'))
 and     ss_item_sk              = i_item_sk
 and     ss_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 9
 and     ss_addr_sk              = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 cs as (
 select
          i_item_id,sum(cs_ext_sales_price) total_sales
 from
 	catalog_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from
 item
where i_category in ('Music'))
 and     cs_item_sk              = i_item_sk
 and     cs_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 9
 and     cs_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5 
 group by i_item_id),
 ws as (
 select
          i_item_id,sum(ws_ext_sales_price) total_sales
 from
 	web_sales,
 	date_dim,
         customer_address,
         item
 where
         i_item_id               in (select
  i_item_id
from
 item
where i_category in ('Music'))
 and     ws_item_sk              = i_item_sk
 and     ws_sold_date_sk         = d_date_sk
 and     d_year                  = 1998
 and     d_moy                   = 9
 and     ws_bill_addr_sk         = ca_address_sk
 and     ca_gmt_offset           = -5
 group by i_item_id)
  select   
  i_item_id
,sum(total_sales) total_sales
 from  (select * from ss 
        union all
        select * from cs 
        union all
        select * from ws) tmp1
 group by i_item_id
 order by i_item_id
      ,total_sales
 limit 100;

SELECT 
    COUNT(*) AS total_pairs,
    COUNT(DISTINCT CONCAT(i_brand, i_brand_id)) AS unique_pairs
FROM item
WHERE i_manufact_id = 128;

Measured execution times:
4000MB: 1403
4000MB-sp(lt0.2/ts5/min10/max100): 1442
8000MB: 1408
8000MB-sp(lt0.2/ts5/min10/max100): 1445
Query Q61 (degree of parallelism: 2)

select  promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
from
  (select sum(ss_ext_sales_price) promotions
   from  store_sales
        ,store
        ,promotion
        ,date_dim
        ,customer
        ,customer_address 
        ,item
   where ss_sold_date_sk = d_date_sk
   and   ss_store_sk = s_store_sk
   and   ss_promo_sk = p_promo_sk
   and   ss_customer_sk= c_customer_sk
   and   ca_address_sk = c_current_addr_sk
   and   ss_item_sk = i_item_sk 
   and   ca_gmt_offset = -5
   and   i_category = 'Jewelry'
   and   (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')
   and   s_gmt_offset = -5
   and   d_year = 1998
   and   d_moy  = 11) promotional_sales,
  (select sum(ss_ext_sales_price) total
   from  store_sales
        ,store
        ,date_dim
        ,customer
        ,customer_address
        ,item
   where ss_sold_date_sk = d_date_sk
   and   ss_store_sk = s_store_sk
   and   ss_customer_sk= c_customer_sk
   and   ca_address_sk = c_current_addr_sk
   and   ss_item_sk = i_item_sk
   and   ca_gmt_offset = -5
   and   i_category = 'Jewelry'
   and   s_gmt_offset = -5
   and   d_year = 1998
   and   d_moy  = 11) all_sales
order by promotions, total
limit 100;

Measured execution times:
4000MB: 1768
4000MB-sp(lt0.2/ts5/min10/max100): 1772
8000MB: 1796
8000MB-sp(lt0.2/ts5/min10/max100): 1761
Query Q61 (degree of parallelism: 4)

select  promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
from
  (select sum(ss_ext_sales_price) promotions
   from  store_sales
        ,store
        ,promotion
        ,date_dim
        ,customer
        ,customer_address 
        ,item
   where ss_sold_date_sk = d_date_sk
   and   ss_store_sk = s_store_sk
   and   ss_promo_sk = p_promo_sk
   and   ss_customer_sk= c_customer_sk
   and   ca_address_sk = c_current_addr_sk
   and   ss_item_sk = i_item_sk 
   and   ca_gmt_offset = -5
   and   i_category = 'Jewelry'
   and   (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')
   and   s_gmt_offset = -5
   and   d_year = 1998
   and   d_moy  = 11) promotional_sales,
  (select sum(ss_ext_sales_price) total
   from  store_sales
        ,store
        ,date_dim
        ,customer
        ,customer_address
        ,item
   where ss_sold_date_sk = d_date_sk
   and   ss_store_sk = s_store_sk
   and   ss_customer_sk= c_customer_sk
   and   ca_address_sk = c_current_addr_sk
   and   ss_item_sk = i_item_sk
   and   ca_gmt_offset = -5
   and   i_category = 'Jewelry'
   and   s_gmt_offset = -5
   and   d_year = 1998
   and   d_moy  = 11) all_sales
order by promotions, total
limit 100;

Measured execution times:
4000MB: 1631
4000MB-sp(lt0.2/ts5/min10/max100): 1657
8000MB: 1653
8000MB-sp(lt0.2/ts5/min10/max100): 1693
Query Q61 (degree of parallelism: 8)

select  promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
from
  (select sum(ss_ext_sales_price) promotions
   from  store_sales
        ,store
        ,promotion
        ,date_dim
        ,customer
        ,customer_address 
        ,item
   where ss_sold_date_sk = d_date_sk
   and   ss_store_sk = s_store_sk
   and   ss_promo_sk = p_promo_sk
   and   ss_customer_sk= c_customer_sk
   and   ca_address_sk = c_current_addr_sk
   and   ss_item_sk = i_item_sk 
   and   ca_gmt_offset = -5
   and   i_category = 'Jewelry'
   and   (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y')
   and   s_gmt_offset = -5
   and   d_year = 1998
   and   d_moy  = 11) promotional_sales,
  (select sum(ss_ext_sales_price) total
   from  store_sales
        ,store
        ,date_dim
        ,customer
        ,customer_address
        ,item
   where ss_sold_date_sk = d_date_sk
   and   ss_store_sk = s_store_sk
   and   ss_customer_sk= c_customer_sk
   and   ca_address_sk = c_current_addr_sk
   and   ss_item_sk = i_item_sk
   and   ca_gmt_offset = -5
   and   i_category = 'Jewelry'
   and   s_gmt_offset = -5
   and   d_year = 1998
   and   d_moy  = 11) all_sales
order by promotions, total
limit 100;

Measured execution times:
4000MB: 1649
4000MB-sp(lt0.2/ts5/min10/max100): 1605
8000MB: 1628
8000MB-sp(lt0.2/ts5/min10/max100): 1654
Query Q62 (degree of parallelism: 2)

select  
   substr(w_warehouse_name,1,20)
  ,sm_type
  ,web_name
  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk <= 30 ) then 1 else 0 end)  as "30 days" 
  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 30) and 
                 (ws_ship_date_sk - ws_sold_date_sk <= 60) then 1 else 0 end )  as "31-60 days" 
  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 60) and 
                 (ws_ship_date_sk - ws_sold_date_sk <= 90) then 1 else 0 end)  as "61-90 days" 
  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 90) and
                 (ws_ship_date_sk - ws_sold_date_sk <= 120) then 1 else 0 end)  as "91-120 days" 
  ,sum(case when (ws_ship_date_sk - ws_sold_date_sk  > 120) then 1 else 0 end)  as ">120 days" 
from
   web_sales
  ,warehouse
  ,ship_mode
  ,web_site
  ,date_dim
where
    d_month_seq between 1200 and 1200 + 11
and ws_ship_date_sk   = d_date_sk
and ws_warehouse_sk   = w_warehouse_sk
and ws_ship_mode_sk   = sm_ship_mode_sk
and ws_web_site_sk    = web_site_sk
group by
   substr(w_warehouse_name,1,20)
  ,sm_type
  ,web_name
order by substr(w_warehouse_name,1,20)
        ,sm_type
       ,web_name
limit 100;

Measured execution times:
4000MB: 1072
4000MB-sp(lt0.2/ts5/min10/max100): 1120
8000MB: 1123
8000MB-sp(lt0.2/ts5/min10/max100): 1117