add tpcds-v4.0 support

src/main/resources/tpcds_4_0/q1.sql

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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_FEE) 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;
+
+

src/main/resources/tpcds_4_0/q10.sql

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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 ('Walker County','Richland County','Gaines County','Douglas County','Dona Ana 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 = 2002 and
+                d_moy between 4 and 4+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 = 2002 and
+                  d_moy between 4 ANd 4+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 = 2002 and
+                  d_moy between 4 and 4+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;
+
+

src/main/resources/tpcds_4_0/q11.sql

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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_email_address
+ 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_email_address
+limit 100;
+
+

src/main/resources/tpcds_4_0/q12.sql

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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 ('Jewelry', 'Sports', 'Books')
+  	and ws_sold_date_sk = d_date_sk
+	and d_date between cast('2001-01-12' as date) 
+				and (cast('2001-01-12' as date) + interval '30' day)
+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;
+
+

src/main/resources/tpcds_4_0/q13.sql

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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 = 'D'
+  and cd_education_status = '2 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 = 'S'
+  and cd_education_status = 'Secondary'
+  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 = 'W'
+  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 ('CO', 'IL', 'MN')
+  and ss_net_profit between 100 and 200  
+     ) or
+     (ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('OH', 'MT', 'NM')
+  and ss_net_profit between 150 and 300  
+     ) or
+     (ss_addr_sk = ca_address_sk
+  and ca_country = 'United States'
+  and ca_state in ('TX', 'MO', 'MI')
+  and ss_net_profit between 50 and 250  
+     ))
+;
+
+

src/main/resources/tpcds_4_0/q14a.sql

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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 1998 AND 1998 + 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 1998 AND 1998 + 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 1998 AND 1998 + 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 1998 and 1998 + 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 1998 and 1998 + 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 1998 and 1998 + 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 = 1998+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 = 1998+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 = 1998+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