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35 lines
1.0 KiB
SQL
35 lines
1.0 KiB
SQL
SELECT *
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FROM
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(
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SELECT
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i_category,
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i_class,
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i_brand,
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s_store_name,
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s_company_name,
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d_moy,
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sum(ss_sales_price) AS sum_sales,
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avg(sum(ss_sales_price)) OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name) AS avg_monthly_sales
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FROM item, store_sales, date_dim, store
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WHERE (ss_item_sk = i_item_sk)
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AND (ss_sold_date_sk = d_date_sk)
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AND (ss_store_sk = s_store_sk)
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AND (d_year IN (1999))
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AND (
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((i_category IN ('Women', 'Jewelry', 'Men')) AND (i_class IN ('dresses', 'birdal', 'shirts')))
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OR ((i_category IN ('Sports', 'Electronics', 'Books')) AND (i_class IN ('football', 'stereo', 'computers')))
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)
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GROUP BY
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i_category,
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i_class,
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i_brand,
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s_store_name,
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s_company_name,
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d_moy
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) AS tmp1
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WHERE (multiIf(avg_monthly_sales != 0, abs(sum_sales - avg_monthly_sales) / avg_monthly_sales, NULL) > 0.1)
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ORDER BY
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sum_sales - avg_monthly_sales,
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s_store_name
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LIMIT 100;
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