| set hive.mapred.mode=nonstrict; |
| -- start query 1 in stream 0 using template query57.tpl and seed 2031708268 |
| explain |
| with v1 as( |
| select i_category, i_brand, |
| cc_name, |
| d_year, d_moy, |
| sum(cs_sales_price) sum_sales, |
| avg(sum(cs_sales_price)) over |
| (partition by i_category, i_brand, |
| cc_name, d_year) |
| avg_monthly_sales, |
| rank() over |
| (partition by i_category, i_brand, |
| cc_name |
| order by d_year, d_moy) rn |
| from item, catalog_sales, date_dim, call_center |
| where cs_item_sk = i_item_sk and |
| cs_sold_date_sk = d_date_sk and |
| cc_call_center_sk= cs_call_center_sk and |
| ( |
| d_year = 2000 or |
| ( d_year = 2000-1 and d_moy =12) or |
| ( d_year = 2000+1 and d_moy =1) |
| ) |
| group by i_category, i_brand, |
| cc_name , d_year, d_moy), |
| v2 as( |
| select v1.i_category, v1.i_brand |
| ,v1.d_year, v1.d_moy |
| ,v1.avg_monthly_sales |
| ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum |
| from v1, v1 v1_lag, v1 v1_lead |
| where v1.i_category = v1_lag.i_category and |
| v1.i_category = v1_lead.i_category and |
| v1.i_brand = v1_lag.i_brand and |
| v1.i_brand = v1_lead.i_brand and |
| v1. cc_name = v1_lag. cc_name and |
| v1. cc_name = v1_lead. cc_name and |
| v1.rn = v1_lag.rn + 1 and |
| v1.rn = v1_lead.rn - 1) |
| select * |
| from v2 |
| where d_year = 2000 and |
| avg_monthly_sales > 0 and |
| case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1 |
| order by sum_sales - avg_monthly_sales, 3 |
| limit 100; |
| |
| -- end query 1 in stream 0 using template query57.tpl |
