SELECT *
FROM
  (
   SELECT
     "i_category"
   , "i_class"
   , "i_brand"
   , "s_store_name"
   , "s_company_name"
   , "d_moy"
   , "sum"("ss_sales_price") "sum_sales"
   , "avg"("sum"("ss_sales_price")) OVER (PARTITION BY "i_category", "i_brand", "s_store_name", "s_company_name") "avg_monthly_sales"
   FROM
     ${database}.${schema}.item
   , ${database}.${schema}.store_sales
   , ${database}.${schema}.date_dim
   , ${database}.${schema}.store
   WHERE ("ss_item_sk" = "i_item_sk")
      AND ("ss_sold_date_sk" = "d_date_sk")
      AND ("ss_store_sk" = "s_store_sk")
      AND ("d_year" IN (1999))
      AND ((("i_category" IN ('Books'         , 'Electronics'         , 'Sports'))
            AND ("i_class" IN ('computers                                         '         , 'stereo                                            '         , 'football                                           ')))
         OR (("i_category" IN ('Men'         , 'Jewelry'         , 'Women'))
            AND ("i_class" IN ('shirts                                            '         , 'birdal                                            '         , 'dresses                                           '))))
   GROUP BY "i_category", "i_class", "i_brand", "s_store_name", "s_company_name", "d_moy"
)  tmp1
WHERE ((CASE WHEN ("avg_monthly_sales" <> 0) THEN ("abs"(("sum_sales" - "avg_monthly_sales")) / "avg_monthly_sales") ELSE null END) > DECIMAL '0.1')
ORDER BY ("sum_sales" - "avg_monthly_sales") ASC, "s_store_name" ASC
LIMIT 100
