diff options
Diffstat (limited to 'src/s3select/TPCDS/sample-queries-tpcds/query14.sql')
| -rw-r--r-- | src/s3select/TPCDS/sample-queries-tpcds/query14.sql | 210 |
1 files changed, 210 insertions, 0 deletions
diff --git a/src/s3select/TPCDS/sample-queries-tpcds/query14.sql b/src/s3select/TPCDS/sample-queries-tpcds/query14.sql new file mode 100644 index 000000000..923814404 --- /dev/null +++ b/src/s3select/TPCDS/sample-queries-tpcds/query14.sql @@ -0,0 +1,210 @@ +-- start query 1 in stream 0 using template query14.tpl and seed 1819994127 +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 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 = 15) + 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 = 15) + 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; + +-- end query 1 in stream 0 using template query14.tpl |