IHEII/sr_tpcds_exec huggingface dataset:
Query Q29 (degree of parallelism: 2)

select   
     i_item_id
    ,i_item_desc
    ,s_store_id
    ,s_store_name
    ,sum(ss_quantity)        as store_sales_quantity
    ,sum(sr_return_quantity) as store_returns_quantity
    ,sum(cs_quantity)        as catalog_sales_quantity
 from
    store_sales
   ,store_returns
   ,catalog_sales
   ,date_dim             d1
   ,date_dim             d2
   ,date_dim             d3
   ,store
   ,item
 where
     d1.d_moy               = 9 
 and d1.d_year              = 1999
 and d1.d_date_sk           = ss_sold_date_sk
 and i_item_sk              = ss_item_sk
 and s_store_sk             = ss_store_sk
 and ss_customer_sk         = sr_customer_sk
 and ss_item_sk             = sr_item_sk
 and ss_ticket_number       = sr_ticket_number
 and sr_returned_date_sk    = d2.d_date_sk
 and d2.d_moy               between 9 and  9 + 3 
 and d2.d_year              = 1999
 and sr_customer_sk         = cs_bill_customer_sk
 and sr_item_sk             = cs_item_sk
 and cs_sold_date_sk        = d3.d_date_sk     
 and d3.d_year              in (1999,1999+1,1999+2)
 group by
    i_item_id
   ,i_item_desc
   ,s_store_id
   ,s_store_name
 order by
    i_item_id 
   ,i_item_desc
   ,s_store_id
   ,s_store_name
 limit 100;

Measured execution times:
4000MB: 2763
4000MB-sp(lt0.2/ts5/min10/max100): 2781
8000MB: 2799
8000MB-sp(lt0.2/ts5/min10/max100): 2724
Query Q29 (degree of parallelism: 4)

select   
     i_item_id
    ,i_item_desc
    ,s_store_id
    ,s_store_name
    ,sum(ss_quantity)        as store_sales_quantity
    ,sum(sr_return_quantity) as store_returns_quantity
    ,sum(cs_quantity)        as catalog_sales_quantity
 from
    store_sales
   ,store_returns
   ,catalog_sales
   ,date_dim             d1
   ,date_dim             d2
   ,date_dim             d3
   ,store
   ,item
 where
     d1.d_moy               = 9 
 and d1.d_year              = 1999
 and d1.d_date_sk           = ss_sold_date_sk
 and i_item_sk              = ss_item_sk
 and s_store_sk             = ss_store_sk
 and ss_customer_sk         = sr_customer_sk
 and ss_item_sk             = sr_item_sk
 and ss_ticket_number       = sr_ticket_number
 and sr_returned_date_sk    = d2.d_date_sk
 and d2.d_moy               between 9 and  9 + 3 
 and d2.d_year              = 1999
 and sr_customer_sk         = cs_bill_customer_sk
 and sr_item_sk             = cs_item_sk
 and cs_sold_date_sk        = d3.d_date_sk     
 and d3.d_year              in (1999,1999+1,1999+2)
 group by
    i_item_id
   ,i_item_desc
   ,s_store_id
   ,s_store_name
 order by
    i_item_id 
   ,i_item_desc
   ,s_store_id
   ,s_store_name
 limit 100;

Measured execution times:
4000MB: 1910
4000MB-sp(lt0.2/ts5/min10/max100): 1924
8000MB: 1936
8000MB-sp(lt0.2/ts5/min10/max100): 1916
Query Q29 (degree of parallelism: 8)

select   
     i_item_id
    ,i_item_desc
    ,s_store_id
    ,s_store_name
    ,sum(ss_quantity)        as store_sales_quantity
    ,sum(sr_return_quantity) as store_returns_quantity
    ,sum(cs_quantity)        as catalog_sales_quantity
 from
    store_sales
   ,store_returns
   ,catalog_sales
   ,date_dim             d1
   ,date_dim             d2
   ,date_dim             d3
   ,store
   ,item
 where
     d1.d_moy               = 9 
 and d1.d_year              = 1999
 and d1.d_date_sk           = ss_sold_date_sk
 and i_item_sk              = ss_item_sk
 and s_store_sk             = ss_store_sk
 and ss_customer_sk         = sr_customer_sk
 and ss_item_sk             = sr_item_sk
 and ss_ticket_number       = sr_ticket_number
 and sr_returned_date_sk    = d2.d_date_sk
 and d2.d_moy               between 9 and  9 + 3 
 and d2.d_year              = 1999
 and sr_customer_sk         = cs_bill_customer_sk
 and sr_item_sk             = cs_item_sk
 and cs_sold_date_sk        = d3.d_date_sk     
 and d3.d_year              in (1999,1999+1,1999+2)
 group by
    i_item_id
   ,i_item_desc
   ,s_store_id
   ,s_store_name
 order by
    i_item_id 
   ,i_item_desc
   ,s_store_id
   ,s_store_name
 limit 100;

Measured execution times:
4000MB: 1848
4000MB-sp(lt0.2/ts5/min10/max100): 1872
8000MB: 1871
8000MB-sp(lt0.2/ts5/min10/max100): 1840
Query Q30 (degree of parallelism: 2)

with customer_total_return as
 (select wr_returning_customer_sk as ctr_customer_sk
        ,ca_state as ctr_state, 
 	sum(wr_return_amt) as ctr_total_return
 from web_returns
     ,date_dim
     ,customer_address
 where wr_returned_date_sk = d_date_sk 
   and d_year =2002
   and wr_returning_addr_sk = ca_address_sk 
 group by wr_returning_customer_sk
         ,ca_state)
  select  c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
       ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
       ,c_last_review_date,ctr_total_return
 from customer_total_return ctr1
     ,customer_address
     ,customer
 where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
 			  from customer_total_return ctr2 
                  	  where ctr1.ctr_state = ctr2.ctr_state)
       and ca_address_sk = c_current_addr_sk
       and ca_state = 'GA'
       and ctr1.ctr_customer_sk = c_customer_sk
 order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
                  ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
                  ,c_last_review_date,ctr_total_return
limit 100;

Measured execution times:
4000MB: 337
4000MB-sp(lt0.2/ts5/min10/max100): 355
8000MB: 344
8000MB-sp(lt0.2/ts5/min10/max100): 349
Query Q30 (degree of parallelism: 4)

with customer_total_return as
 (select wr_returning_customer_sk as ctr_customer_sk
        ,ca_state as ctr_state, 
 	sum(wr_return_amt) as ctr_total_return
 from web_returns
     ,date_dim
     ,customer_address
 where wr_returned_date_sk = d_date_sk 
   and d_year =2002
   and wr_returning_addr_sk = ca_address_sk 
 group by wr_returning_customer_sk
         ,ca_state)
  select  c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
       ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
       ,c_last_review_date,ctr_total_return
 from customer_total_return ctr1
     ,customer_address
     ,customer
 where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
 			  from customer_total_return ctr2 
                  	  where ctr1.ctr_state = ctr2.ctr_state)
       and ca_address_sk = c_current_addr_sk
       and ca_state = 'GA'
       and ctr1.ctr_customer_sk = c_customer_sk
 order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
                  ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
                  ,c_last_review_date,ctr_total_return
limit 100;

Measured execution times:
4000MB: 315
4000MB-sp(lt0.2/ts5/min10/max100): 297
8000MB: 295
8000MB-sp(lt0.2/ts5/min10/max100): 287
Query Q30 (degree of parallelism: 8)

with customer_total_return as
 (select wr_returning_customer_sk as ctr_customer_sk
        ,ca_state as ctr_state, 
 	sum(wr_return_amt) as ctr_total_return
 from web_returns
     ,date_dim
     ,customer_address
 where wr_returned_date_sk = d_date_sk 
   and d_year =2002
   and wr_returning_addr_sk = ca_address_sk 
 group by wr_returning_customer_sk
         ,ca_state)
  select  c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
       ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
       ,c_last_review_date,ctr_total_return
 from customer_total_return ctr1
     ,customer_address
     ,customer
 where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
 			  from customer_total_return ctr2 
                  	  where ctr1.ctr_state = ctr2.ctr_state)
       and ca_address_sk = c_current_addr_sk
       and ca_state = 'GA'
       and ctr1.ctr_customer_sk = c_customer_sk
 order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
                  ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
                  ,c_last_review_date,ctr_total_return
limit 100;

Measured execution times:
4000MB: 235
4000MB-sp(lt0.2/ts5/min10/max100): 239
8000MB: 237
8000MB-sp(lt0.2/ts5/min10/max100): 243
Query Q31 (degree of parallelism: 2)

with ss as
 (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
 from store_sales,date_dim,customer_address
 where ss_sold_date_sk = d_date_sk
  and ss_addr_sk=ca_address_sk
 group by ca_county,d_qoy, d_year),
 ws as
 (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales
 from web_sales,date_dim,customer_address
 where ws_sold_date_sk = d_date_sk
  and ws_bill_addr_sk=ca_address_sk
 group by ca_county,d_qoy, d_year)
 select 
        ss1.ca_county
       ,ss1.d_year
       ,ws2.web_sales/ws1.web_sales web_q1_q2_increase
       ,ss2.store_sales/ss1.store_sales store_q1_q2_increase
       ,ws3.web_sales/ws2.web_sales web_q2_q3_increase
       ,ss3.store_sales/ss2.store_sales store_q2_q3_increase
 from
        ss ss1
       ,ss ss2
       ,ss ss3
       ,ws ws1
       ,ws ws2
       ,ws ws3
 where
    ss1.d_qoy = 1
    and ss1.d_year = 2000
    and ss1.ca_county = ss2.ca_county
    and ss2.d_qoy = 2
    and ss2.d_year = 2000
 and ss2.ca_county = ss3.ca_county
    and ss3.d_qoy = 3
    and ss3.d_year = 2000
    and ss1.ca_county = ws1.ca_county
    and ws1.d_qoy = 1
    and ws1.d_year = 2000
    and ws1.ca_county = ws2.ca_county
    and ws2.d_qoy = 2
    and ws2.d_year = 2000
    and ws1.ca_county = ws3.ca_county
    and ws3.d_qoy = 3
    and ws3.d_year =2000
    and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end 
       > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end
    and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end
       > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
 order by ss1.ca_county;

Measured execution times:
4000MB: 2152
4000MB-sp(lt0.2/ts5/min10/max100): 2172
8000MB: 2161
8000MB-sp(lt0.2/ts5/min10/max100): 2158
Query Q31 (degree of parallelism: 4)

with ss as
 (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
 from store_sales,date_dim,customer_address
 where ss_sold_date_sk = d_date_sk
  and ss_addr_sk=ca_address_sk
 group by ca_county,d_qoy, d_year),
 ws as
 (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales
 from web_sales,date_dim,customer_address
 where ws_sold_date_sk = d_date_sk
  and ws_bill_addr_sk=ca_address_sk
 group by ca_county,d_qoy, d_year)
 select 
        ss1.ca_county
       ,ss1.d_year
       ,ws2.web_sales/ws1.web_sales web_q1_q2_increase
       ,ss2.store_sales/ss1.store_sales store_q1_q2_increase
       ,ws3.web_sales/ws2.web_sales web_q2_q3_increase
       ,ss3.store_sales/ss2.store_sales store_q2_q3_increase
 from
        ss ss1
       ,ss ss2
       ,ss ss3
       ,ws ws1
       ,ws ws2
       ,ws ws3
 where
    ss1.d_qoy = 1
    and ss1.d_year = 2000
    and ss1.ca_county = ss2.ca_county
    and ss2.d_qoy = 2
    and ss2.d_year = 2000
 and ss2.ca_county = ss3.ca_county
    and ss3.d_qoy = 3
    and ss3.d_year = 2000
    and ss1.ca_county = ws1.ca_county
    and ws1.d_qoy = 1
    and ws1.d_year = 2000
    and ws1.ca_county = ws2.ca_county
    and ws2.d_qoy = 2
    and ws2.d_year = 2000
    and ws1.ca_county = ws3.ca_county
    and ws3.d_qoy = 3
    and ws3.d_year =2000
    and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end 
       > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end
    and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end
       > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
 order by ss1.ca_county;

Measured execution times:
4000MB: 2013
4000MB-sp(lt0.2/ts5/min10/max100): 2206
8000MB: 2034
8000MB-sp(lt0.2/ts5/min10/max100): 2006
Query Q31 (degree of parallelism: 8)

with ss as
 (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
 from store_sales,date_dim,customer_address
 where ss_sold_date_sk = d_date_sk
  and ss_addr_sk=ca_address_sk
 group by ca_county,d_qoy, d_year),
 ws as
 (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales
 from web_sales,date_dim,customer_address
 where ws_sold_date_sk = d_date_sk
  and ws_bill_addr_sk=ca_address_sk
 group by ca_county,d_qoy, d_year)
 select 
        ss1.ca_county
       ,ss1.d_year
       ,ws2.web_sales/ws1.web_sales web_q1_q2_increase
       ,ss2.store_sales/ss1.store_sales store_q1_q2_increase
       ,ws3.web_sales/ws2.web_sales web_q2_q3_increase
       ,ss3.store_sales/ss2.store_sales store_q2_q3_increase
 from
        ss ss1
       ,ss ss2
       ,ss ss3
       ,ws ws1
       ,ws ws2
       ,ws ws3
 where
    ss1.d_qoy = 1
    and ss1.d_year = 2000
    and ss1.ca_county = ss2.ca_county
    and ss2.d_qoy = 2
    and ss2.d_year = 2000
 and ss2.ca_county = ss3.ca_county
    and ss3.d_qoy = 3
    and ss3.d_year = 2000
    and ss1.ca_county = ws1.ca_county
    and ws1.d_qoy = 1
    and ws1.d_year = 2000
    and ws1.ca_county = ws2.ca_county
    and ws2.d_qoy = 2
    and ws2.d_year = 2000
    and ws1.ca_county = ws3.ca_county
    and ws3.d_qoy = 3
    and ws3.d_year =2000
    and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end 
       > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end
    and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end
       > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
 order by ss1.ca_county;

Measured execution times:
4000MB: 1949
4000MB-sp(lt0.2/ts5/min10/max100): 2016
8000MB: 2007
8000MB-sp(lt0.2/ts5/min10/max100): 1947
Query Q32 (degree of parallelism: 2)

select  sum(cs_ext_discount_amt)  as "excess discount amount" 
from 
   catalog_sales 
   ,item 
   ,date_dim
where
i_manufact_id = 977
and i_item_sk = cs_item_sk 
and d_date between '2000-01-27' and 
        date_add(cast('2000-01-27' as date), 90)
and d_date_sk = cs_sold_date_sk 
and cs_ext_discount_amt  
     > ( 
         select 
            1.3 * avg(cs_ext_discount_amt) 
         from 
            catalog_sales 
           ,date_dim
         where 
              cs_item_sk = i_item_sk 
          and d_date between '2000-01-27' and
                             date_add(cast('2000-01-27' as date), 90)
          and d_date_sk = cs_sold_date_sk 
      ) 
limit 100;

Measured execution times:
4000MB: 244
4000MB-sp(lt0.2/ts5/min10/max100): 257
8000MB: 239
8000MB-sp(lt0.2/ts5/min10/max100): 265
Query Q32 (degree of parallelism: 4)

select  sum(cs_ext_discount_amt)  as "excess discount amount" 
from 
   catalog_sales 
   ,item 
   ,date_dim
where
i_manufact_id = 977
and i_item_sk = cs_item_sk 
and d_date between '2000-01-27' and 
        date_add(cast('2000-01-27' as date), 90)
and d_date_sk = cs_sold_date_sk 
and cs_ext_discount_amt  
     > ( 
         select 
            1.3 * avg(cs_ext_discount_amt) 
         from 
            catalog_sales 
           ,date_dim
         where 
              cs_item_sk = i_item_sk 
          and d_date between '2000-01-27' and
                             date_add(cast('2000-01-27' as date), 90)
          and d_date_sk = cs_sold_date_sk 
      ) 
limit 100;

Measured execution times:
4000MB: 180
4000MB-sp(lt0.2/ts5/min10/max100): 213
8000MB: 183
8000MB-sp(lt0.2/ts5/min10/max100): 200
Query Q32 (degree of parallelism: 8)

select  sum(cs_ext_discount_amt)  as "excess discount amount" 
from 
   catalog_sales 
   ,item 
   ,date_dim
where
i_manufact_id = 977
and i_item_sk = cs_item_sk 
and d_date between '2000-01-27' and 
        date_add(cast('2000-01-27' as date), 90)
and d_date_sk = cs_sold_date_sk 
and cs_ext_discount_amt  
     > ( 
         select 
            1.3 * avg(cs_ext_discount_amt) 
         from 
            catalog_sales 
           ,date_dim
         where 
              cs_item_sk = i_item_sk 
          and d_date between '2000-01-27' and
                             date_add(cast('2000-01-27' as date), 90)
          and d_date_sk = cs_sold_date_sk 
      ) 
limit 100;

Measured execution times:
4000MB: 169
4000MB-sp(lt0.2/ts5/min10/max100): 184
8000MB: 162
8000MB-sp(lt0.2/ts5/min10/max100): 181
Query Q33 (degree of parallelism: 2)

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

Measured execution times:
4000MB: 1556
4000MB-sp(lt0.2/ts5/min10/max100): 1529
8000MB: 1561
8000MB-sp(lt0.2/ts5/min10/max100): 1600
Query Q33 (degree of parallelism: 4)

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

Measured execution times:
4000MB: 1407
4000MB-sp(lt0.2/ts5/min10/max100): 1480
8000MB: 1387
8000MB-sp(lt0.2/ts5/min10/max100): 1477
Query Q33 (degree of parallelism: 8)

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

Measured execution times:
4000MB: 1377
4000MB-sp(lt0.2/ts5/min10/max100): 1391
8000MB: 1380
8000MB-sp(lt0.2/ts5/min10/max100): 1406
Query Q34 (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 3 or date_dim.d_dom between 25 and 28)
    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)  > 1.2
    and date_dim.d_year in (1999,1999+1,1999+2)
    and store.s_county in ('Williamson County','Williamson County','Williamson County','Williamson County',
                           'Williamson County','Williamson County','Williamson County','Williamson County')
    group by ss_ticket_number,ss_customer_sk) dn,customer
    where ss_customer_sk = c_customer_sk
      and cnt between 15 and 20
    order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc, ss_ticket_number;

Measured execution times:
4000MB: 1489
4000MB-sp(lt0.2/ts5/min10/max100): 1496
8000MB: 1462
8000MB-sp(lt0.2/ts5/min10/max100): 1468