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TPC-DS测试集

您可以通过命令生成方法生成TPC-DS测试集，也可以直接通过脚本生成方法生成，另我们已经给出前面20个的TPC-DS测试集供您参考。

命令生成方法

TPC-DS标准99个SQL查询语句可用如下方法生成：

  1. 准备工作。生成TPC-DS查询语句前需要修改query_templates目录下的文件：

    1. 登录测试过程申请的ECS，进入/data1/script/tpcds-kit/DSGen-software-code-3.2.0rc1/query_templates目录： 
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      cd /data1/script/tpcds-kit/DSGen-software-code-3.2.0rc1/query_templates
    2. 新建文件hwdws.tpl，内容为： 
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      define __LIMITA = "";
define __LIMITB = "";
define __LIMITC = "limit %d";
define _BEGIN = "-- begin query " + [_QUERY] + " in stream " + [_STREAM] + " using template " + [_TEMPLATE];
define _END = "-- end query " + [_QUERY] + " in stream " + [_STREAM] + " using template " + [_TEMPLATE];
    3. 因TPC-DS工具中SQL语句生成模板有语法错误，需修改query77.tpl，将135行的‘, coalesce(returns, 0) returns’改为‘, coalesce(returns, 0) as returns’。

  2. 执行以下命令生成查询语句： 

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    cd /data1/script/tpcds-kit/DSGen-software-code-3.2.0rc1/tools
./dsqgen  -input ../query_templates/templates.lst -directory ../query_templates/ -scale 1000 -dialect hwdws

    执行后会生成query_0.sql文件，里面放着99个标准SQL语句，需要手动去切分成99个文件。

  3. 生成的标准查询中如下日期函数语法在GaussDB(DWS)暂不支持，需要手动进行修改： 

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    Q5:  and (cast('2001-08-19' as date) +  14 days)
修改为
and (cast('2001-08-19' as date) +  14)

Q12:and (cast('1999-02-28' as date) + 30 days)
修改为
and (cast('1999-02-28' as date) + 30)

Q16:(cast('1999-4-01' as date) + 60 days)
修改为
(cast('1999-4-01' as date) + 60)

Q20:and (cast('1998-05-05' as date) + 30 days)
修改为
and (cast('1998-05-05' as date) + 30)

Q21:and d_date between (cast ('2000-05-19' as date) - 30 days)
修改为
and d_date between (cast ('2000-05-19' as date) - 30)

and (cast ('2000-05-19' as date) + 30 days)
修改为
and (cast ('2000-05-19' as date) + 30)

Q32:(cast('1999-02-22' as date) + 90 days)
修改为
(cast('1999-02-22' as date) + 90)

Q37:and d_date between cast('1998-04-29' as date) and (cast('1998-04-29' as date) +  60 days)
修改为
and d_date between cast('1998-04-29' as date) and (cast('1998-04-29' as date) +  60)

Q40:and d_date between (cast ('2002-05-10' as date) - 30 days)
修改为
and d_date between (cast ('2002-05-10' as date) - 30)

and (cast ('2002-05-10' as date) + 30 days)
修改为
and (cast ('2002-05-10' as date) + 30)

Q77:and (cast('1999-08-29' as date) +  30 days)
修改为
and (cast('1999-08-29' as date) +  30)

Q80:and (cast('2002-08-04' as date) +  30 days)
修改为
and (cast('2002-08-04' as date) +  30)

Q82:and d_date between cast('1998-01-18' as date) and (cast('1998-01-18' as date) +  60 days)
修改为
and d_date between cast('1998-01-18' as date) and (cast('1998-01-18' as date) +  60)

Q92:(cast('2001-01-26' as date) + 90 days)
修改为
(cast('2001-01-26' as date) + 90)

Q94:(cast('1999-5-01' as date) + 60 days)
修改为
(cast('1999-5-01' as date) + 60)

Q95:(cast('1999-4-01' as date) + 60 days)
修改为
(cast('1999-4-01' as date) + 60)

Q98:and (cast('2002-04-01' as date) + 30 days)
修改为
and (cast('2002-04-01' as date) + 30)

脚本生成方法

建议使用如下脚本直接生成GaussDB(DWS)可用的SQL语句：

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# -*- coding: utf-8 -*-
import os
import sys
import re
import stat


def gen_thp_seq(dsqgen_file, scale, query_dir):
    flags = os.O_WRONLY | os.O_CREAT | os.O_EXCL
    modes = stat.S_IWUSR | stat.S_IRUSR
    if not os.path.exists(query_dir):
        os.mkdir(query_dir)

    cmd = dsqgen_file + ' -input ../query_templates/templates.lst -directory ../query_templates/ -scale ' + str(scale) + ' -dialect hwdws'
    os.system(cmd)
    with open('query_0.sql', 'r') as f1:
        line = f1.readline()
        queryname = ''
        while line:
            if '-- begin' in line.strip():
                #line:'-- begin query 1 in stream 0 using template query96.tpl\n'
                queryname = line.split(' ')[-1][5:-5]
                fquery = os.fdopen(os.open(query_dir + '/Q' + queryname, flags, modes), 'w+')
                line = f1.readline()
                continue

            if not queryname or line == '\n':
                line = f1.readline()
                continue

            if '-- end' in line.strip():
                fquery.close()
                line = f1.readline()
                continue

            if 'days)' in line:
                line = line.replace('days', '')
            fquery.write(line)
            line = f1.readline()

    print("TPCDS Q1~Q99 query store at " + query_dir)
    os.system('rm -rf query_0.sql')



if __name__ == '__main__':
    if len(sys.argv) != 4:
        print('Wrong number of parameters！')
        print('Usage：python3 gen_tpcds_thpseq.py dsqgen_file_path scale query_dir')
        print("""Parameter:
            qgen_file_path: tpcds dsqgen文件路径
            scale: 生成查询对应的数据规模
            query_dir: 生成文件的存放路径""")
        print("""Example:
            python3 gen_tpcds_thpseq.py ./dsqgen 1000 tpcds_query1000x""")
        sys.exit(1)

    dsqgen_file_path = sys.argv[1]
    scale = sys.argv[2]
    query_dir = sys.argv[3]
    try:
        if not re.match(r'^\.?\/(\w+\/?)+$', dsqgen_file_path):
            print("error param qgenfilepath:", dsqgen_file_path)
        if not re.match(r'\d+', scale):
            print('error param scale:', scale)
        if not re.match(r'^\/?(\w+\/?)+$', query_dir):
            print('error param query_dir:', query_dir)
    except Exception as ex:
        print('exception: invalid param!')

    if not os.path.isfile(dsqgen_file_path):
        print('The file %s is not exist!' % dsqgen_file_path)
        sys.exit(1)

    gen_thp_seq(dsqgen_file_path, int(scale), query_dir)

将以上脚本保存在/data1/script/tpcds-kit/DSGen-software-code-3.2.0rc1/tools/gen_tpcds_thpseq.py，执行如下命令可获得99个SQL语句，其中1000为数据规模，代表TPCDS 1000x，tpcds_query1000x为生成的SQL语句存放的位置：

cd /data1/script/tpcds-kit/DSGen-software-code-3.2.0rc1/tools/
python3 gen_tpcds_thpseq.py ./dsqgen 1000 tpcds_query1000x

测试集

TPC-DS测试集共包括99个SQL查询，本章节仅体现前20个SQL。其他请根据以上方法生成。

SQL1

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with customer_total_return as
(select sr_customer_sk as ctr_customer_sk
,sr_store_sk as ctr_store_sk
,sum(SR_RETURN_AMT_INC_TAX) as ctr_total_return
from store_returns
,date_dim
where sr_returned_date_sk = d_date_sk
and d_year =2001
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 = 'PA'
and ctr1.ctr_customer_sk = c_customer_sk
order by c_customer_id
limit 100;

SQL2

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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)),
 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 = 1999) 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 = 1999+1) z
 where d_week_seq1=d_week_seq2-53
 order by d_week_seq1;

SQL3

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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 = 125
   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;

SQL4

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with year_total as (
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,c_preferred_cust_flag customer_preferred_cust_flag
       ,c_birth_country customer_birth_country
       ,c_login customer_login
       ,c_email_address customer_email_address
       ,d_year dyear
       ,sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) 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
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,c_preferred_cust_flag
         ,c_birth_country
         ,c_login
         ,c_email_address
         ,d_year
 union all
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,c_preferred_cust_flag customer_preferred_cust_flag
       ,c_birth_country customer_birth_country
       ,c_login customer_login
       ,c_email_address customer_email_address
       ,d_year dyear
       ,sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2) ) year_total
       ,'c' sale_type
 from customer
     ,catalog_sales
     ,date_dim
 where c_customer_sk = cs_bill_customer_sk
   and cs_sold_date_sk = d_date_sk
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,c_preferred_cust_flag
         ,c_birth_country
         ,c_login
         ,c_email_address
         ,d_year
union all
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,c_preferred_cust_flag customer_preferred_cust_flag
       ,c_birth_country customer_birth_country
       ,c_login customer_login
       ,c_email_address customer_email_address
       ,d_year dyear
       ,sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2) ) 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
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,c_preferred_cust_flag
         ,c_birth_country
         ,c_login
         ,c_email_address
         ,d_year
         )
  select  
                  t_s_secyear.customer_id
                 ,t_s_secyear.customer_first_name
                 ,t_s_secyear.customer_last_name
                 ,t_s_secyear.customer_preferred_cust_flag
 from year_total t_s_firstyear
     ,year_total t_s_secyear
     ,year_total t_c_firstyear
     ,year_total t_c_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_c_secyear.customer_id
   and t_s_firstyear.customer_id = t_c_firstyear.customer_id
   and t_s_firstyear.customer_id = t_w_firstyear.customer_id
   and t_s_firstyear.customer_id = t_w_secyear.customer_id
   and t_s_firstyear.sale_type = 's'
   and t_c_firstyear.sale_type = 'c'
   and t_w_firstyear.sale_type = 'w'
   and t_s_secyear.sale_type = 's'
   and t_c_secyear.sale_type = 'c'
   and t_w_secyear.sale_type = 'w'
   and t_s_firstyear.dyear =  2000
   and t_s_secyear.dyear = 2000+1
   and t_c_firstyear.dyear =  2000
   and t_c_secyear.dyear =  2000+1
   and t_w_firstyear.dyear = 2000
   and t_w_secyear.dyear = 2000+1
   and t_s_firstyear.year_total > 0
   and t_c_firstyear.year_total > 0
   and t_w_firstyear.year_total > 0
   and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_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
   and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
           > case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
 order by t_s_secyear.customer_id
         ,t_s_secyear.customer_first_name
         ,t_s_secyear.customer_last_name
         ,t_s_secyear.customer_preferred_cust_flag
limit 100;

SQL5

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with ssr as
 (select s_store_id,
        sum(sales_price) as sales,
        sum(profit) as profit,
        sum(return_amt) as returns,
        sum(net_loss) as profit_loss
 from
  ( select  ss_store_sk as store_sk,
            ss_sold_date_sk  as date_sk,
            ss_ext_sales_price as sales_price,
            ss_net_profit as profit,
            cast(0 as decimal(7,2)) as return_amt,
            cast(0 as decimal(7,2)) as net_loss
    from store_sales
    union all
    select sr_store_sk as store_sk,
           sr_returned_date_sk as date_sk,
           cast(0 as decimal(7,2)) as sales_price,
           cast(0 as decimal(7,2)) as profit,
           sr_return_amt as return_amt,
           sr_net_loss as net_loss
    from store_returns
   ) salesreturns,
     date_dim,
     store
 where date_sk = d_date_sk
       and d_date between cast('2002-08-05' as date) 
                  and (cast('2002-08-05' as date) +  14 )
       and store_sk = s_store_sk
 group by s_store_id)
 ,
 csr as
 (select cp_catalog_page_id,
        sum(sales_price) as sales,
        sum(profit) as profit,
        sum(return_amt) as returns,
        sum(net_loss) as profit_loss
 from
  ( select  cs_catalog_page_sk as page_sk,
            cs_sold_date_sk  as date_sk,
            cs_ext_sales_price as sales_price,
            cs_net_profit as profit,
            cast(0 as decimal(7,2)) as return_amt,
            cast(0 as decimal(7,2)) as net_loss
    from catalog_sales
    union all
    select cr_catalog_page_sk as page_sk,
           cr_returned_date_sk as date_sk,
           cast(0 as decimal(7,2)) as sales_price,
           cast(0 as decimal(7,2)) as profit,
           cr_return_amount as return_amt,
           cr_net_loss as net_loss
    from catalog_returns
   ) salesreturns,
     date_dim,
     catalog_page
 where date_sk = d_date_sk
       and d_date between cast('2002-08-05' as date)
                  and (cast('2002-08-05' as date) +  14 )
       and page_sk = cp_catalog_page_sk
 group by cp_catalog_page_id)
 ,
 wsr as
 (select web_site_id,
        sum(sales_price) as sales,
        sum(profit) as profit,
        sum(return_amt) as returns,
        sum(net_loss) as profit_loss
 from
  ( select  ws_web_site_sk as wsr_web_site_sk,
            ws_sold_date_sk  as date_sk,
            ws_ext_sales_price as sales_price,
            ws_net_profit as profit,
            cast(0 as decimal(7,2)) as return_amt,
            cast(0 as decimal(7,2)) as net_loss
    from web_sales
    union all
    select ws_web_site_sk as wsr_web_site_sk,
           wr_returned_date_sk as date_sk,
           cast(0 as decimal(7,2)) as sales_price,
           cast(0 as decimal(7,2)) as profit,
           wr_return_amt as return_amt,
           wr_net_loss as net_loss
    from web_returns left outer join web_sales on
         ( wr_item_sk = ws_item_sk
           and wr_order_number = ws_order_number)
   ) salesreturns,
     date_dim,
     web_site
 where date_sk = d_date_sk
       and d_date between cast('2002-08-05' as date)
                  and (cast('2002-08-05' as date) +  14 )
       and wsr_web_site_sk = web_site_sk
 group by web_site_id)
  select  channel
        , id
        , sum(sales) as sales
        , sum(returns) as returns
        , sum(profit) as profit
 from 
 (select 'store channel' as channel
        , 'store' || s_store_id as id
        , sales
        , returns
        , (profit - profit_loss) as profit
 from   ssr
 union all
 select 'catalog channel' as channel
        , 'catalog_page' || cp_catalog_page_id as id
        , sales
        , returns
        , (profit - profit_loss) as profit
 from  csr
 union all
 select 'web channel' as channel
        , 'web_site' || web_site_id as id
        , sales
        , returns
        , (profit - profit_loss) as profit
 from   wsr
 ) x
 group by rollup (channel, id)
 order by channel
         ,id
 limit 100;

SQL6

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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 = 1998
	        and d_moy = 7 )
	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;

SQL7

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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 = 'U' and
       cd_education_status = 'College' and
       (p_channel_email = 'N' or p_channel_event = 'N') and
       d_year = 1999 
 group by i_item_id
 order by i_item_id
 limit 100;

SQL8

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select  s_store_name
      ,sum(ss_net_profit)
 from store_sales
     ,date_dim
     ,store,
     (select ca_zip
     from (
      SELECT substr(ca_zip,1,5) ca_zip
      FROM customer_address
      WHERE substr(ca_zip,1,5) IN (
                          '74804','87276','13428','49436','56281','79805',
                          '46826','68570','20368','28846','41886',
                          '68164','68097','16113','18727','96789',
                          '63317','57937','19554','69911','83554',
                          '84246','61336','46999','25229','15960',
                          '61657','28058','64558','39712','74928',
                          '34018','87826','69733','26479','73630',
                          '88683','61704','81441','42706','54175',
                          '45152','49049','30850','63980','40484',
                          '71665','63755','23769','79855','24308',
                          '28241','16343','25663','85999','46359',
                          '93691','34706','99973','74947','60316',
                          '58637','48063','81363','19268','66228',
                          '78136','16368','99907','58139','17043',
                          '89764','14834','25152','70158','76080',
                          '81251','83972','48635','54671','35602',
                          '10788','57325','46354','92707','41103',
                          '89761','31840','69225','76139','18826',
                          '12556','51692','20579','50965','32136',
                          '71357','16309','82922','59273','40999',
                          '73273','93217','65679','12653','16978',
                          '27319','41973','65580','56237','17799',
                          '53192','63632','37089','65994','58048',
                          '14388','58085','80614','40042','79194',
                          '42268','61913','97332','37349','72146',
                          '52681','18176','39332','89283','69023',
                          '84175','11520','33483','60169','93562',
                          '10097','14536','70276','64042','22822',
                          '87229','51528','70269','44519','48044',
                          '78170','81440','60315','14543','30719',
                          '13240','62325','35517','51529','98085',
                          '79007','16582','95187','15625','88780',
                          '38656','74607','75117','62819','31929',
                          '27665','88890','98611','53527','48652',
                          '10324','62273','17726','36232','38526',
                          '50705','61179','30363','54408','58631',
                          '23622','50319','33299','78829','91267',
                          '25571','60347','44750','62797','10713',
                          '46494','91163','20973','42007','54724',
                          '89203','12561','71116','60404','70589',
                          '66744','46074','69138','34737','25092',
                          '59246','74778','40140','89476','71030',
                          '89861','93207','44996','34850','48752',
                          '79574','29570','76507','79728','43195',
                          '47596','46415','42514','68144','14169',
                          '17041','75747','33630','19378','32618',
                          '78704','75807','76800','80916','87272',
                          '37109','21714','14867','83806','33895',
                          '80637','20658','75224','92772','55791',
                          '58603','31681','38788','91922','42465',
                          '74371','72854','75746','80383','75909',
                          '37151','82077','80604','66771','46075',
                          '58723','15380','83174','53615','50347',
                          '98340','68957','63361','18705','47629',
                          '76013','68572','50588','31168','41563',
                          '38936','88746','19052','75648','46403',
                          '24332','54711','28218','80432','53870',
                          '25049','32562','94211','99803','49133',
                          '21202','50005','17953','14324','85525',
                          '51984','37304','69870','64321','66962',
                          '66453','40619','91199','54400','28804',
                          '65544','27059','31143','20303','52429',
                          '24476','91458','52514','55145','99015',
                          '51657','10001','96434','38325','39628',
                          '83338','62381','67697','61542','86076',
                          '89833','32657','56881','93983','85031',
                          '57530','56318','46934','34740','79458',
                          '88443','15861','56034','24808','32336',
                          '34312','96450','12923','91876','53509',
                          '30241','35816','52377','23946','23644',
                          '16413','35796','59100','21689','49199',
                          '40062','82510','14072','78823','49158',
                          '99933','75399','11365','44799','77549',
                          '19569','39186','78909','68143','70468',
                          '14944','33047','98329','42262','68647',
                          '65754','27357','56372','18073','12363',
                          '64467','26221','32914','70431','42436',
                          '55316','33335','27701','44687','22360',
                          '76124','44007','59525','51574','71555',
                          '43130','64199','19616','94285')
     intersect
      select ca_zip
      from (SELECT substr(ca_zip,1,5) ca_zip,count(*) cnt
            FROM customer_address, customer
            WHERE ca_address_sk = c_current_addr_sk and
                  c_preferred_cust_flag='Y'
            group by ca_zip
            having count(*) > 10)A1)A2) V1
 where ss_store_sk = s_store_sk
  and ss_sold_date_sk = d_date_sk
  and d_qoy = 1 and d_year = 1999
  and (substr(s_zip,1,2) = substr(V1.ca_zip,1,2))
 group by s_store_name
 order by s_store_name
 limit 100;

SQL9

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select case when (select count(*) 
                  from store_sales 
                  where ss_quantity between 1 and 20) > 40845849
            then (select avg(ss_ext_tax) 
                  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) > 5712087
            then (select avg(ss_ext_tax)
                  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) > 30393328
            then (select avg(ss_ext_tax)
                  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) > 46385791
            then (select avg(ss_ext_tax)
                  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) > 29981928
            then (select avg(ss_ext_tax)
                  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
;

SQL10

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select  
  cd_gender,
  cd_marital_status,
  cd_education_status,
  count(*) cnt1,
  cd_purchase_estimate,
  count(*) cnt2,
  cd_credit_rating,
  count(*) cnt3,
  cd_dep_count,
  count(*) cnt4,
  cd_dep_employed_count,
  count(*) cnt5,
  cd_dep_college_count,
  count(*) cnt6
 from
  customer c,customer_address ca,customer_demographics
 where
  c.c_current_addr_sk = ca.ca_address_sk and
  ca_county in ('Clark County','Richardson County','Tom Green County','Sullivan County','Cass County') and
  cd_demo_sk = c.c_current_cdemo_sk and 
  exists (select *
          from store_sales,date_dim
          where c.c_customer_sk = ss_customer_sk and
                ss_sold_date_sk = d_date_sk and
                d_year = 2000 and
                d_moy between 1 and 1+3) and
   (exists (select *
            from web_sales,date_dim
            where c.c_customer_sk = ws_bill_customer_sk and
                  ws_sold_date_sk = d_date_sk and
                  d_year = 2000 and
                  d_moy between 1 ANd 1+3) or 
    exists (select * 
            from catalog_sales,date_dim
            where c.c_customer_sk = cs_ship_customer_sk and
                  cs_sold_date_sk = d_date_sk and
                  d_year = 2000 and
                  d_moy between 1 and 1+3))
 group by cd_gender,
          cd_marital_status,
          cd_education_status,
          cd_purchase_estimate,
          cd_credit_rating,
          cd_dep_count,
          cd_dep_employed_count,
          cd_dep_college_count
 order by cd_gender,
          cd_marital_status,
          cd_education_status,
          cd_purchase_estimate,
          cd_credit_rating,
          cd_dep_count,
          cd_dep_employed_count,
          cd_dep_college_count
limit 100;

SQL11

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with year_total as (
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,c_preferred_cust_flag customer_preferred_cust_flag
       ,c_birth_country customer_birth_country
       ,c_login customer_login
       ,c_email_address customer_email_address
       ,d_year dyear
       ,sum(ss_ext_list_price-ss_ext_discount_amt) 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
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,c_preferred_cust_flag 
         ,c_birth_country
         ,c_login
         ,c_email_address
         ,d_year 
 union all
 select c_customer_id customer_id
       ,c_first_name customer_first_name
       ,c_last_name customer_last_name
       ,c_preferred_cust_flag customer_preferred_cust_flag
       ,c_birth_country customer_birth_country
       ,c_login customer_login
       ,c_email_address customer_email_address
       ,d_year dyear
       ,sum(ws_ext_list_price-ws_ext_discount_amt) 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
 group by c_customer_id
         ,c_first_name
         ,c_last_name
         ,c_preferred_cust_flag 
         ,c_birth_country
         ,c_login
         ,c_email_address
         ,d_year
         )
  select  
                  t_s_secyear.customer_id
                 ,t_s_secyear.customer_first_name
                 ,t_s_secyear.customer_last_name
                 ,t_s_secyear.customer_birth_country
 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.dyear = 2001
         and t_s_secyear.dyear = 2001+1
         and t_w_firstyear.dyear = 2001
         and t_w_secyear.dyear = 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 0.0 end
             > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else 0.0 end
 order by t_s_secyear.customer_id
         ,t_s_secyear.customer_first_name
         ,t_s_secyear.customer_last_name
         ,t_s_secyear.customer_birth_country
limit 100;

SQL12

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select  i_item_id
      ,i_item_desc 
      ,i_category 
      ,i_class 
      ,i_current_price
      ,sum(ws_ext_sales_price) as itemrevenue 
      ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
          (partition by i_class) as revenueratio
from	
	web_sales
	,item 
	,date_dim
where 
	ws_item_sk = i_item_sk 
	and i_category in ('Music', 'Shoes', 'Children')
	and ws_sold_date_sk = d_date_sk
	and d_date between cast('2000-05-14' as date) 
				and (cast('2000-05-14' as date) + 30 )
group by 
	i_item_id
        ,i_item_desc 
        ,i_category
        ,i_class
        ,i_current_price
order by 
	i_category
        ,i_class
        ,i_item_id
        ,i_item_desc
        ,revenueratio
limit 100;

SQL13

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select avg(ss_quantity)
       ,avg(ss_ext_sales_price)
       ,avg(ss_ext_wholesale_cost)
       ,sum(ss_ext_wholesale_cost)
 from store_sales
     ,store
     ,customer_demographics
     ,household_demographics
     ,customer_address
     ,date_dim
 where s_store_sk = ss_store_sk
 and  ss_sold_date_sk = d_date_sk and d_year = 2001
 and((ss_hdemo_sk=hd_demo_sk
  and cd_demo_sk = ss_cdemo_sk
  and cd_marital_status = 'U'
  and cd_education_status = '4 yr Degree'
  and ss_sales_price between 100.00 and 150.00
  and hd_dep_count = 3   
     )or
     (ss_hdemo_sk=hd_demo_sk
  and cd_demo_sk = ss_cdemo_sk
  and cd_marital_status = 'D'
  and cd_education_status = '2 yr Degree'
  and ss_sales_price between 50.00 and 100.00   
  and hd_dep_count = 1
     ) or 
     (ss_hdemo_sk=hd_demo_sk
  and cd_demo_sk = ss_cdemo_sk
  and cd_marital_status = 'S'
  and cd_education_status = 'Advanced Degree'
  and ss_sales_price between 150.00 and 200.00 
  and hd_dep_count = 1  
     ))
 and((ss_addr_sk = ca_address_sk
  and ca_country = 'United States'
  and ca_state in ('IL', 'WI', 'TN')
  and ss_net_profit between 100 and 200  
     ) or
     (ss_addr_sk = ca_address_sk
  and ca_country = 'United States'
  and ca_state in ('MO', 'OK', 'WA')
  and ss_net_profit between 150 and 300  
     ) or
     (ss_addr_sk = ca_address_sk
  and ca_country = 'United States'
  and ca_state in ('NE', 'VA', 'GA')
  and ss_net_profit between 50 and 250  
     ))
;

SQL14

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with  cross_items as
 (select i_item_sk ss_item_sk
 from item,
 (select iss.i_brand_id brand_id
     ,iss.i_class_id class_id
     ,iss.i_category_id category_id
 from store_sales
     ,item iss
     ,date_dim d1
 where ss_item_sk = iss.i_item_sk
   and ss_sold_date_sk = d1.d_date_sk
   and d1.d_year between 2000 AND 2000 + 2
 intersect 
 select ics.i_brand_id
     ,ics.i_class_id
     ,ics.i_category_id
 from catalog_sales
     ,item ics
     ,date_dim d2
 where cs_item_sk = ics.i_item_sk
   and cs_sold_date_sk = d2.d_date_sk
   and d2.d_year between 2000 AND 2000 + 2
 intersect
 select iws.i_brand_id
     ,iws.i_class_id
     ,iws.i_category_id
 from web_sales
     ,item iws
     ,date_dim d3
 where ws_item_sk = iws.i_item_sk
   and ws_sold_date_sk = d3.d_date_sk
   and d3.d_year between 2000 AND 2000 + 2)
 where i_brand_id = brand_id
      and i_class_id = class_id
      and i_category_id = category_id
),
 avg_sales as
 (select avg(quantity*list_price) average_sales
  from (select ss_quantity quantity
             ,ss_list_price list_price
       from store_sales
           ,date_dim
       where ss_sold_date_sk = d_date_sk
         and d_year between 2000 and 2000 + 2
       union all 
       select cs_quantity quantity 
             ,cs_list_price list_price
       from catalog_sales
           ,date_dim
       where cs_sold_date_sk = d_date_sk
         and d_year between 2000 and 2000 + 2 
       union all
       select ws_quantity quantity
             ,ws_list_price list_price
       from web_sales
           ,date_dim
       where ws_sold_date_sk = d_date_sk
         and d_year between 2000 and 2000 + 2) x)
  select  channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales)
 from(
       select 'store' channel, i_brand_id,i_class_id
             ,i_category_id,sum(ss_quantity*ss_list_price) sales
             , count(*) number_sales
       from store_sales
           ,item
           ,date_dim
       where ss_item_sk in (select ss_item_sk from cross_items)
         and ss_item_sk = i_item_sk
         and ss_sold_date_sk = d_date_sk
         and d_year = 2000+2 
         and d_moy = 11
       group by i_brand_id,i_class_id,i_category_id
       having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)
       union all
       select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity*cs_list_price) sales, count(*) number_sales
       from catalog_sales
           ,item
           ,date_dim
       where cs_item_sk in (select ss_item_sk from cross_items)
         and cs_item_sk = i_item_sk
         and cs_sold_date_sk = d_date_sk
         and d_year = 2000+2 
         and d_moy = 11
       group by i_brand_id,i_class_id,i_category_id
       having sum(cs_quantity*cs_list_price) > (select average_sales from avg_sales)
       union all
       select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity*ws_list_price) sales , count(*) number_sales
       from web_sales
           ,item
           ,date_dim
       where ws_item_sk in (select ss_item_sk from cross_items)
         and ws_item_sk = i_item_sk
         and ws_sold_date_sk = d_date_sk
         and d_year = 2000+2
         and d_moy = 11
       group by i_brand_id,i_class_id,i_category_id
       having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales)
 ) y
 group by rollup (channel, i_brand_id,i_class_id,i_category_id)
 order by channel,i_brand_id,i_class_id,i_category_id
 limit 100;
with  cross_items as
 (select i_item_sk ss_item_sk
 from item,
 (select iss.i_brand_id brand_id
     ,iss.i_class_id class_id
     ,iss.i_category_id category_id
 from store_sales
     ,item iss
     ,date_dim d1
 where ss_item_sk = iss.i_item_sk
   and ss_sold_date_sk = d1.d_date_sk
   and d1.d_year between 2000 AND 2000 + 2
 intersect
 select ics.i_brand_id
     ,ics.i_class_id
     ,ics.i_category_id
 from catalog_sales
     ,item ics
     ,date_dim d2
 where cs_item_sk = ics.i_item_sk
   and cs_sold_date_sk = d2.d_date_sk
   and d2.d_year between 2000 AND 2000 + 2
 intersect
 select iws.i_brand_id
     ,iws.i_class_id
     ,iws.i_category_id
 from web_sales
     ,item iws
     ,date_dim d3
 where ws_item_sk = iws.i_item_sk
   and ws_sold_date_sk = d3.d_date_sk
   and d3.d_year between 2000 AND 2000 + 2) x
 where i_brand_id = brand_id
      and i_class_id = class_id
      and i_category_id = category_id
),
 avg_sales as
(select avg(quantity*list_price) average_sales
  from (select ss_quantity quantity
             ,ss_list_price list_price
       from store_sales
           ,date_dim
       where ss_sold_date_sk = d_date_sk
         and d_year between 2000 and 2000 + 2
       union all
       select cs_quantity quantity
             ,cs_list_price list_price
       from catalog_sales
           ,date_dim
       where cs_sold_date_sk = d_date_sk
         and d_year between 2000 and 2000 + 2
       union all
       select ws_quantity quantity
             ,ws_list_price list_price
       from web_sales
           ,date_dim
       where ws_sold_date_sk = d_date_sk
         and d_year between 2000 and 2000 + 2) x)
  select  this_year.channel ty_channel
                           ,this_year.i_brand_id ty_brand
                           ,this_year.i_class_id ty_class
                           ,this_year.i_category_id ty_category
                           ,this_year.sales ty_sales
                           ,this_year.number_sales ty_number_sales
                           ,last_year.channel ly_channel
                           ,last_year.i_brand_id ly_brand
                           ,last_year.i_class_id ly_class
                           ,last_year.i_category_id ly_category
                           ,last_year.sales ly_sales
                           ,last_year.number_sales ly_number_sales 
 from
 (select 'store' channel, i_brand_id,i_class_id,i_category_id
        ,sum(ss_quantity*ss_list_price) sales, count(*) number_sales
 from store_sales 
     ,item
     ,date_dim
 where ss_item_sk in (select ss_item_sk from cross_items)
   and ss_item_sk = i_item_sk
   and ss_sold_date_sk = d_date_sk
   and d_week_seq = (select d_week_seq
                     from date_dim
                     where d_year = 2000 + 1
                       and d_moy = 12
                       and d_dom = 17)
 group by i_brand_id,i_class_id,i_category_id
 having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) this_year,
 (select 'store' channel, i_brand_id,i_class_id
        ,i_category_id, sum(ss_quantity*ss_list_price) sales, count(*) number_sales
 from store_sales
     ,item
     ,date_dim
 where ss_item_sk in (select ss_item_sk from cross_items)
   and ss_item_sk = i_item_sk
   and ss_sold_date_sk = d_date_sk
   and d_week_seq = (select d_week_seq
                     from date_dim
                     where d_year = 2000
                       and d_moy = 12
                       and d_dom = 17)
 group by i_brand_id,i_class_id,i_category_id
 having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) last_year
 where this_year.i_brand_id= last_year.i_brand_id
   and this_year.i_class_id = last_year.i_class_id
   and this_year.i_category_id = last_year.i_category_id
 order by this_year.channel, this_year.i_brand_id, this_year.i_class_id, this_year.i_category_id
 limit 100;

SQL15

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select  ca_zip
       ,sum(cs_sales_price)
 from catalog_sales
     ,customer
     ,customer_address
     ,date_dim
 where cs_bill_customer_sk = c_customer_sk
	and c_current_addr_sk = ca_address_sk 
	and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
                                   '85392', '85460', '80348', '81792')
	      or ca_state in ('CA','WA','GA')
	      or cs_sales_price > 500)
	and cs_sold_date_sk = d_date_sk
	and d_qoy = 2 and d_year = 1999
 group by ca_zip
 order by ca_zip
 limit 100;

SQL16

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select  
   count(distinct cs_order_number) as "order count"
  ,sum(cs_ext_ship_cost) as "total shipping cost"
  ,sum(cs_net_profit) as "total net profit"
from
   catalog_sales cs1
  ,date_dim
  ,customer_address
  ,call_center
where
    d_date between '1999-2-01' and 
           (cast('1999-2-01' as date) + 60 )
and cs1.cs_ship_date_sk = d_date_sk
and cs1.cs_ship_addr_sk = ca_address_sk
and ca_state = 'TX'
and cs1.cs_call_center_sk = cc_call_center_sk
and cc_county in ('Barrow County','Luce County','Mobile County','Richland County',
                  'Wadena County'
)
and exists (select *
            from catalog_sales cs2
            where cs1.cs_order_number = cs2.cs_order_number
              and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
and not exists(select *
               from catalog_returns cr1
               where cs1.cs_order_number = cr1.cr_order_number)
order by count(distinct cs_order_number)
limit 100;

SQL17

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select  i_item_id
       ,i_item_desc
       ,s_state
       ,count(ss_quantity) as store_sales_quantitycount
       ,avg(ss_quantity) as store_sales_quantityave
       ,stddev_samp(ss_quantity) as store_sales_quantitystdev
       ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov
       ,count(sr_return_quantity) as store_returns_quantitycount
       ,avg(sr_return_quantity) as store_returns_quantityave
       ,stddev_samp(sr_return_quantity) as store_returns_quantitystdev
       ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov
       ,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave
       ,stddev_samp(cs_quantity) as catalog_sales_quantitystdev
       ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov
 from store_sales
     ,store_returns
     ,catalog_sales
     ,date_dim d1
     ,date_dim d2
     ,date_dim d3
     ,store
     ,item
 where d1.d_quarter_name = '2000Q1'
   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_quarter_name in ('2000Q1','2000Q2','2000Q3')
   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_quarter_name in ('2000Q1','2000Q2','2000Q3')
 group by i_item_id
         ,i_item_desc
         ,s_state
 order by i_item_id
         ,i_item_desc
         ,s_state
limit 100;

SQL18

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select  i_item_id,
        ca_country,
        ca_state, 
        ca_county,
        avg( cast(cs_quantity as decimal(12,2))) agg1,
        avg( cast(cs_list_price as decimal(12,2))) agg2,
        avg( cast(cs_coupon_amt as decimal(12,2))) agg3,
        avg( cast(cs_sales_price as decimal(12,2))) agg4,
        avg( cast(cs_net_profit as decimal(12,2))) agg5,
        avg( cast(c_birth_year as decimal(12,2))) agg6,
        avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7
 from catalog_sales, customer_demographics cd1, 
      customer_demographics cd2, customer, customer_address, date_dim, item
 where cs_sold_date_sk = d_date_sk and
       cs_item_sk = i_item_sk and
       cs_bill_cdemo_sk = cd1.cd_demo_sk and
       cs_bill_customer_sk = c_customer_sk and
       cd1.cd_gender = 'M' and 
       cd1.cd_education_status = 'Primary' and
       c_current_cdemo_sk = cd2.cd_demo_sk and
       c_current_addr_sk = ca_address_sk and
       c_birth_month in (10,1,8,7,3,5) and
       d_year = 1998 and
       ca_state in ('NE','OK','NC'
                   ,'CO','ID','AR','MO')
 group by rollup (i_item_id, ca_country, ca_state, ca_county)
 order by ca_country,
        ca_state, 
        ca_county,
	i_item_id
 limit 100;

SQL19

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select  i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
	sum(ss_ext_sales_price) ext_price
 from date_dim, store_sales, item,customer,customer_address,store
 where d_date_sk = ss_sold_date_sk
   and ss_item_sk = i_item_sk
   and i_manager_id=62
   and d_moy=11
   and d_year=2000
   and ss_customer_sk = c_customer_sk 
   and c_current_addr_sk = ca_address_sk
   and substr(ca_zip,1,5) <> substr(s_zip,1,5) 
   and ss_store_sk = s_store_sk 
 group by i_brand
      ,i_brand_id
      ,i_manufact_id
      ,i_manufact
 order by ext_price desc
         ,i_brand
         ,i_brand_id
         ,i_manufact_id
         ,i_manufact
limit 100 ;

SQL20

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select  i_item_id
       ,i_item_desc 
       ,i_category 
       ,i_class 
       ,i_current_price
       ,sum(cs_ext_sales_price) as itemrevenue 
       ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over
           (partition by i_class) as revenueratio
 from	catalog_sales
     ,item 
     ,date_dim
 where cs_item_sk = i_item_sk 
   and i_category in ('Sports', 'Shoes', 'Women')
   and cs_sold_date_sk = d_date_sk
 and d_date between cast('2001-03-21' as date) 
				and (cast('2001-03-21' as date) + 30)
 group by i_item_id
         ,i_item_desc 
         ,i_category
         ,i_class
         ,i_current_price
 order by i_category
         ,i_class
         ,i_item_id
         ,i_item_desc
         ,revenueratio
limit 100;
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