IHEII/sr_tpcds_exec huggingface dataset:
Query Q1 (degree of parallelism: 2)

with customer_total_return as
(select sr_customer_sk as ctr_customer_sk
,sr_store_sk as ctr_store_sk
,sum(SR_RETURN_AMT) as ctr_total_return
from store_returns
,date_dim
where sr_returned_date_sk = d_date_sk
and d_year =2000
group by sr_customer_sk
,sr_store_sk)
 select  c_customer_id
from customer_total_return ctr1
,store
,customer
where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
from customer_total_return ctr2
where ctr1.ctr_store_sk = ctr2.ctr_store_sk)
and s_store_sk = ctr1.ctr_store_sk
and s_state = 'TN'
and ctr1.ctr_customer_sk = c_customer_sk
order by c_customer_id
limit 100;

Measured execution times:
4000MB: 638
4000MB-sp(lt0.2/ts5/min10/max100): 693
8000MB: 649
8000MB-sp(lt0.2/ts5/min10/max100): 646
Query Q1 (degree of parallelism: 4)

with customer_total_return as
(select sr_customer_sk as ctr_customer_sk
,sr_store_sk as ctr_store_sk
,sum(SR_RETURN_AMT) as ctr_total_return
from store_returns
,date_dim
where sr_returned_date_sk = d_date_sk
and d_year =2000
group by sr_customer_sk
,sr_store_sk)
 select  c_customer_id
from customer_total_return ctr1
,store
,customer
where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
from customer_total_return ctr2
where ctr1.ctr_store_sk = ctr2.ctr_store_sk)
and s_store_sk = ctr1.ctr_store_sk
and s_state = 'TN'
and ctr1.ctr_customer_sk = c_customer_sk
order by c_customer_id
limit 100;

Measured execution times:
4000MB: 414
4000MB-sp(lt0.2/ts5/min10/max100): 512
8000MB: 431
8000MB-sp(lt0.2/ts5/min10/max100): 427
Query Q1 (degree of parallelism: 8)

with customer_total_return as
(select sr_customer_sk as ctr_customer_sk
,sr_store_sk as ctr_store_sk
,sum(SR_RETURN_AMT) as ctr_total_return
from store_returns
,date_dim
where sr_returned_date_sk = d_date_sk
and d_year =2000
group by sr_customer_sk
,sr_store_sk)
 select  c_customer_id
from customer_total_return ctr1
,store
,customer
where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
from customer_total_return ctr2
where ctr1.ctr_store_sk = ctr2.ctr_store_sk)
and s_store_sk = ctr1.ctr_store_sk
and s_state = 'TN'
and ctr1.ctr_customer_sk = c_customer_sk
order by c_customer_id
limit 100;

Measured execution times:
4000MB: 346
4000MB-sp(lt0.2/ts5/min10/max100): 449
8000MB: 330
8000MB-sp(lt0.2/ts5/min10/max100): 349
Query Q2 (degree of parallelism: 2)

with wscs as
 (select sold_date_sk
        ,sales_price
  from (select ws_sold_date_sk sold_date_sk
              ,ws_ext_sales_price sales_price
        from web_sales 
        union all
        select cs_sold_date_sk sold_date_sk
              ,cs_ext_sales_price sales_price
        from catalog_sales) t),
 wswscs as 
 (select d_week_seq,
        sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
        sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
        sum(case when (d_day_name='Tuesday') then sales_price else  null end) tue_sales,
        sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
        sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
        sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
        sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
 from wscs
     ,date_dim
 where d_date_sk = sold_date_sk
 group by d_week_seq)
 select d_week_seq1
       ,round(sun_sales1/sun_sales2,2)
       ,round(mon_sales1/mon_sales2,2)
       ,round(tue_sales1/tue_sales2,2)
       ,round(wed_sales1/wed_sales2,2)
       ,round(thu_sales1/thu_sales2,2)
       ,round(fri_sales1/fri_sales2,2)
       ,round(sat_sales1/sat_sales2,2)
 from
 (select wswscs.d_week_seq d_week_seq1
        ,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 wswscs,date_dim 
  where date_dim.d_week_seq = wswscs.d_week_seq and
        d_year = 2001) y,
 (select wswscs.d_week_seq d_week_seq2
        ,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 wswscs
      ,date_dim 
  where date_dim.d_week_seq = wswscs.d_week_seq and
        d_year = 2001+1) z
 where d_week_seq1=d_week_seq2-53
 order by d_week_seq1;

Measured execution times:
4000MB: 814
4000MB-sp(lt0.2/ts5/min10/max100): 865
8000MB: 804
8000MB-sp(lt0.2/ts5/min10/max100): 809
Query Q2 (degree of parallelism: 4)

with wscs as
 (select sold_date_sk
        ,sales_price
  from (select ws_sold_date_sk sold_date_sk
              ,ws_ext_sales_price sales_price
        from web_sales 
        union all
        select cs_sold_date_sk sold_date_sk
              ,cs_ext_sales_price sales_price
        from catalog_sales) t),
 wswscs as 
 (select d_week_seq,
        sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
        sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
        sum(case when (d_day_name='Tuesday') then sales_price else  null end) tue_sales,
        sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
        sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
        sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
        sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
 from wscs
     ,date_dim
 where d_date_sk = sold_date_sk
 group by d_week_seq)
 select d_week_seq1
       ,round(sun_sales1/sun_sales2,2)
       ,round(mon_sales1/mon_sales2,2)
       ,round(tue_sales1/tue_sales2,2)
       ,round(wed_sales1/wed_sales2,2)
       ,round(thu_sales1/thu_sales2,2)
       ,round(fri_sales1/fri_sales2,2)
       ,round(sat_sales1/sat_sales2,2)
 from
 (select wswscs.d_week_seq d_week_seq1
        ,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 wswscs,date_dim 
  where date_dim.d_week_seq = wswscs.d_week_seq and
        d_year = 2001) y,
 (select wswscs.d_week_seq d_week_seq2
        ,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 wswscs
      ,date_dim 
  where date_dim.d_week_seq = wswscs.d_week_seq and
        d_year = 2001+1) z
 where d_week_seq1=d_week_seq2-53
 order by d_week_seq1;

Measured execution times:
4000MB: 606
4000MB-sp(lt0.2/ts5/min10/max100): 1462
8000MB: 607
8000MB-sp(lt0.2/ts5/min10/max100): 639
Query Q2 (degree of parallelism: 8)

with wscs as
 (select sold_date_sk
        ,sales_price
  from (select ws_sold_date_sk sold_date_sk
              ,ws_ext_sales_price sales_price
        from web_sales 
        union all
        select cs_sold_date_sk sold_date_sk
              ,cs_ext_sales_price sales_price
        from catalog_sales) t),
 wswscs as 
 (select d_week_seq,
        sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
        sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
        sum(case when (d_day_name='Tuesday') then sales_price else  null end) tue_sales,
        sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
        sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
        sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
        sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
 from wscs
     ,date_dim
 where d_date_sk = sold_date_sk
 group by d_week_seq)
 select d_week_seq1
       ,round(sun_sales1/sun_sales2,2)
       ,round(mon_sales1/mon_sales2,2)
       ,round(tue_sales1/tue_sales2,2)
       ,round(wed_sales1/wed_sales2,2)
       ,round(thu_sales1/thu_sales2,2)
       ,round(fri_sales1/fri_sales2,2)
       ,round(sat_sales1/sat_sales2,2)
 from
 (select wswscs.d_week_seq d_week_seq1
        ,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 wswscs,date_dim 
  where date_dim.d_week_seq = wswscs.d_week_seq and
        d_year = 2001) y,
 (select wswscs.d_week_seq d_week_seq2
        ,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 wswscs
      ,date_dim 
  where date_dim.d_week_seq = wswscs.d_week_seq and
        d_year = 2001+1) z
 where d_week_seq1=d_week_seq2-53
 order by d_week_seq1;

Measured execution times:
4000MB: 568
4000MB-sp(lt0.2/ts5/min10/max100): 570
8000MB: 577
8000MB-sp(lt0.2/ts5/min10/max100): 586
Query Q3 (degree of parallelism: 2)

select  dt.d_year 
       ,item.i_brand_id brand_id 
       ,item.i_brand brand
       ,sum(ss_ext_sales_price) sum_agg
 from  date_dim dt 
      ,store_sales
      ,item
 where dt.d_date_sk = store_sales.ss_sold_date_sk
   and store_sales.ss_item_sk = item.i_item_sk
   and item.i_manufact_id = 128
   and dt.d_moy=11
 group by dt.d_year
      ,item.i_brand
      ,item.i_brand_id
 order by dt.d_year
         ,sum_agg desc
         ,brand_id
 limit 100;

Measured execution times:
4000MB: 312
4000MB-sp(lt0.2/ts5/min10/max100): 304
8000MB: 309
8000MB-sp(lt0.2/ts5/min10/max100): 304
Query Q3 (degree of parallelism: 4)

select  dt.d_year 
       ,item.i_brand_id brand_id 
       ,item.i_brand brand
       ,sum(ss_ext_sales_price) sum_agg
 from  date_dim dt 
      ,store_sales
      ,item
 where dt.d_date_sk = store_sales.ss_sold_date_sk
   and store_sales.ss_item_sk = item.i_item_sk
   and item.i_manufact_id = 128
   and dt.d_moy=11
 group by dt.d_year
      ,item.i_brand
      ,item.i_brand_id
 order by dt.d_year
         ,sum_agg desc
         ,brand_id
 limit 100;

Measured execution times:
4000MB: 237
4000MB-sp(lt0.2/ts5/min10/max100): 250
8000MB: 232
8000MB-sp(lt0.2/ts5/min10/max100): 243
Query Q3 (degree of parallelism: 8)

select  dt.d_year 
       ,item.i_brand_id brand_id 
       ,item.i_brand brand
       ,sum(ss_ext_sales_price) sum_agg
 from  date_dim dt 
      ,store_sales
      ,item
 where dt.d_date_sk = store_sales.ss_sold_date_sk
   and store_sales.ss_item_sk = item.i_item_sk
   and item.i_manufact_id = 128
   and dt.d_moy=11
 group by dt.d_year
      ,item.i_brand
      ,item.i_brand_id
 order by dt.d_year
         ,sum_agg desc
         ,brand_id
 limit 100;

Measured execution times:
4000MB: 236
4000MB-sp(lt0.2/ts5/min10/max100): 235
8000MB: 238
8000MB-sp(lt0.2/ts5/min10/max100): 238
Query Q6 (degree of parallelism: 2)

select  a.ca_state state, count(*) cnt
 from customer_address a
     ,customer c
     ,store_sales s
     ,date_dim d
     ,item i
 where       a.ca_address_sk = c.c_current_addr_sk
 	and c.c_customer_sk = s.ss_customer_sk
 	and s.ss_sold_date_sk = d.d_date_sk
 	and s.ss_item_sk = i.i_item_sk
 	and d.d_month_seq = 
 	     (select distinct (d_month_seq)
 	      from date_dim
               where d_year = 2001
 	        and d_moy = 1 )
 	and i.i_current_price > 1.2 * 
             (select avg(j.i_current_price) 
 	     from item j 
 	     where j.i_category = i.i_category)
 group by a.ca_state
 having count(*) >= 10
 order by cnt, a.ca_state 
 limit 100;

Measured execution times:
4000MB: 607
4000MB-sp(lt0.2/ts5/min10/max100): 616
8000MB: 589
8000MB-sp(lt0.2/ts5/min10/max100): 596
Query Q6 (degree of parallelism: 4)

select  a.ca_state state, count(*) cnt
 from customer_address a
     ,customer c
     ,store_sales s
     ,date_dim d
     ,item i
 where       a.ca_address_sk = c.c_current_addr_sk
 	and c.c_customer_sk = s.ss_customer_sk
 	and s.ss_sold_date_sk = d.d_date_sk
 	and s.ss_item_sk = i.i_item_sk
 	and d.d_month_seq = 
 	     (select distinct (d_month_seq)
 	      from date_dim
               where d_year = 2001
 	        and d_moy = 1 )
 	and i.i_current_price > 1.2 * 
             (select avg(j.i_current_price) 
 	     from item j 
 	     where j.i_category = i.i_category)
 group by a.ca_state
 having count(*) >= 10
 order by cnt, a.ca_state 
 limit 100;

Measured execution times:
4000MB: 432
4000MB-sp(lt0.2/ts5/min10/max100): 466
8000MB: 445
8000MB-sp(lt0.2/ts5/min10/max100): 472
Query Q6 (degree of parallelism: 8)

select  a.ca_state state, count(*) cnt
 from customer_address a
     ,customer c
     ,store_sales s
     ,date_dim d
     ,item i
 where       a.ca_address_sk = c.c_current_addr_sk
 	and c.c_customer_sk = s.ss_customer_sk
 	and s.ss_sold_date_sk = d.d_date_sk
 	and s.ss_item_sk = i.i_item_sk
 	and d.d_month_seq = 
 	     (select distinct (d_month_seq)
 	      from date_dim
               where d_year = 2001
 	        and d_moy = 1 )
 	and i.i_current_price > 1.2 * 
             (select avg(j.i_current_price) 
 	     from item j 
 	     where j.i_category = i.i_category)
 group by a.ca_state
 having count(*) >= 10
 order by cnt, a.ca_state 
 limit 100;

Measured execution times:
4000MB: 435
4000MB-sp(lt0.2/ts5/min10/max100): 458
8000MB: 442
8000MB-sp(lt0.2/ts5/min10/max100): 445
Query Q7 (degree of parallelism: 2)

select  i_item_id, 
        avg(ss_quantity) agg1,
        avg(ss_list_price) agg2,
        avg(ss_coupon_amt) agg3,
        avg(ss_sales_price) agg4 
 from store_sales, customer_demographics, date_dim, item, promotion
 where ss_sold_date_sk = d_date_sk and
       ss_item_sk = i_item_sk and
       ss_cdemo_sk = cd_demo_sk and
       ss_promo_sk = p_promo_sk and
       cd_gender = 'M' and 
       cd_marital_status = 'S' and
       cd_education_status = 'College' and
       (p_channel_email = 'N' or p_channel_event = 'N') and
       d_year = 2000 
 group by i_item_id
 order by i_item_id
 limit 100;

Measured execution times:
4000MB: 3288
4000MB-sp(lt0.2/ts5/min10/max100): 3413
8000MB: 3415
8000MB-sp(lt0.2/ts5/min10/max100): 3414
Query Q7 (degree of parallelism: 4)

select  i_item_id, 
        avg(ss_quantity) agg1,
        avg(ss_list_price) agg2,
        avg(ss_coupon_amt) agg3,
        avg(ss_sales_price) agg4 
 from store_sales, customer_demographics, date_dim, item, promotion
 where ss_sold_date_sk = d_date_sk and
       ss_item_sk = i_item_sk and
       ss_cdemo_sk = cd_demo_sk and
       ss_promo_sk = p_promo_sk and
       cd_gender = 'M' and 
       cd_marital_status = 'S' and
       cd_education_status = 'College' and
       (p_channel_email = 'N' or p_channel_event = 'N') and
       d_year = 2000 
 group by i_item_id
 order by i_item_id
 limit 100;

Measured execution times:
4000MB: 2006
4000MB-sp(lt0.2/ts5/min10/max100): 2015
8000MB: 2009
8000MB-sp(lt0.2/ts5/min10/max100): 2046
Query Q7 (degree of parallelism: 8)

select  i_item_id, 
        avg(ss_quantity) agg1,
        avg(ss_list_price) agg2,
        avg(ss_coupon_amt) agg3,
        avg(ss_sales_price) agg4 
 from store_sales, customer_demographics, date_dim, item, promotion
 where ss_sold_date_sk = d_date_sk and
       ss_item_sk = i_item_sk and
       ss_cdemo_sk = cd_demo_sk and
       ss_promo_sk = p_promo_sk and
       cd_gender = 'M' and 
       cd_marital_status = 'S' and
       cd_education_status = 'College' and
       (p_channel_email = 'N' or p_channel_event = 'N') and
       d_year = 2000 
 group by i_item_id
 order by i_item_id
 limit 100;

Measured execution times:
4000MB: 1824
4000MB-sp(lt0.2/ts5/min10/max100): 1842
8000MB: 1841
8000MB-sp(lt0.2/ts5/min10/max100): 1835
Query Q9 (degree of parallelism: 2)

select case when (select count(*) 
                  from store_sales 
                  where ss_quantity between 1 and 20) > 74219
            then (select avg(ss_ext_discount_amt) 
                  from store_sales 
                  where ss_quantity between 1 and 20) 
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 1 and 20) end bucket1 ,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 21 and 40) > 122840 
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 21 and 40) 
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 21 and 40) end bucket2,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 41 and 60) > 56580
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 41 and 60)
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 41 and 60) end bucket3,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 61 and 80) > 10097
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 61 and 80)
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 61 and 80) end bucket4,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 81 and 100) > 165306
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 81 and 100)
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 81 and 100) end bucket5
from reason
where r_reason_sk = 1
;

Measured execution times:
4000MB: 3001
4000MB-sp(lt0.2/ts5/min10/max100): 3036
8000MB: 3003
8000MB-sp(lt0.2/ts5/min10/max100): 3001
Query Q9 (degree of parallelism: 4)

select case when (select count(*) 
                  from store_sales 
                  where ss_quantity between 1 and 20) > 74219
            then (select avg(ss_ext_discount_amt) 
                  from store_sales 
                  where ss_quantity between 1 and 20) 
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 1 and 20) end bucket1 ,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 21 and 40) > 122840 
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 21 and 40) 
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 21 and 40) end bucket2,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 41 and 60) > 56580
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 41 and 60)
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 41 and 60) end bucket3,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 61 and 80) > 10097
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 61 and 80)
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 61 and 80) end bucket4,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 81 and 100) > 165306
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 81 and 100)
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 81 and 100) end bucket5
from reason
where r_reason_sk = 1
;

Measured execution times:
4000MB: 2975
4000MB-sp(lt0.2/ts5/min10/max100): 3013
8000MB: 3090
8000MB-sp(lt0.2/ts5/min10/max100): 2975
Query Q9 (degree of parallelism: 8)

select case when (select count(*) 
                  from store_sales 
                  where ss_quantity between 1 and 20) > 74219
            then (select avg(ss_ext_discount_amt) 
                  from store_sales 
                  where ss_quantity between 1 and 20) 
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 1 and 20) end bucket1 ,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 21 and 40) > 122840 
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 21 and 40) 
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 21 and 40) end bucket2,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 41 and 60) > 56580
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 41 and 60)
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 41 and 60) end bucket3,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 61 and 80) > 10097
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 61 and 80)
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 61 and 80) end bucket4,
       case when (select count(*)
                  from store_sales
                  where ss_quantity between 81 and 100) > 165306
            then (select avg(ss_ext_discount_amt)
                  from store_sales
                  where ss_quantity between 81 and 100)
            else (select avg(ss_net_paid)
                  from store_sales
                  where ss_quantity between 81 and 100) end bucket5
from reason
where r_reason_sk = 1
;

Measured execution times:
4000MB: 2982
4000MB-sp(lt0.2/ts5/min10/max100): 3008
8000MB: 2998
8000MB-sp(lt0.2/ts5/min10/max100): 3024