49 lines
1.7 KiB
SQL
49 lines
1.7 KiB
SQL
with v1 as(
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select i_category, i_brand,
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s_store_name, s_company_name,
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d_year, d_moy,
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sum(ss_sales_price) sum_sales,
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avg(sum(ss_sales_price)) over
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(partition by i_category, i_brand,
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s_store_name, s_company_name, d_year)
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avg_monthly_sales,
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rank() over
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(partition by i_category, i_brand,
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s_store_name, s_company_name
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order by d_year, d_moy) rn
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from item, store_sales, date_dim, store
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where ss_item_sk = i_item_sk and
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ss_sold_date_sk = d_date_sk and
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ss_store_sk = s_store_sk and
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(
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d_year = 2000 or
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( d_year = 2000-1 and d_moy =12) or
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( d_year = 2000+1 and d_moy =1)
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)
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group by i_category, i_brand,
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s_store_name, s_company_name,
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d_year, d_moy),
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v2 as(
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select v1.s_store_name, v1.s_company_name
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,v1.d_year
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,v1.avg_monthly_sales
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,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
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from v1, v1 v1_lag, v1 v1_lead
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where v1.i_category = v1_lag.i_category and
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v1.i_category = v1_lead.i_category and
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v1.i_brand = v1_lag.i_brand and
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v1.i_brand = v1_lead.i_brand and
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v1.s_store_name = v1_lag.s_store_name and
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v1.s_store_name = v1_lead.s_store_name and
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v1.s_company_name = v1_lag.s_company_name and
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v1.s_company_name = v1_lead.s_company_name and
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v1.rn = v1_lag.rn + 1 and
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v1.rn = v1_lead.rn - 1)
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select *
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from v2
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where d_year = 2000 and
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avg_monthly_sales > 0 and
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case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
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order by sum_sales - avg_monthly_sales, nsum
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limit 100;
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