WITH
  v1 AS (
   SELECT
     "i_category"
   , "i_brand"
   , "s_store_name"
   , "s_company_name"
   , "d_year"
   , "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", "d_year") "avg_monthly_sales"
   , "rank"() OVER (PARTITION BY "i_category", "i_brand", "s_store_name", "s_company_name" ORDER BY "d_year" ASC, "d_moy" ASC) "rn"
   FROM
     item
   , store_sales
   , date_dim
   , 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" = 1999)
         OR (("d_year" = (1999 - 1))
            AND ("d_moy" = 12))
         OR (("d_year" = (1999 + 1))
            AND ("d_moy" = 1)))
   GROUP BY "i_category", "i_brand", "s_store_name", "s_company_name", "d_year", "d_moy"
) 
, v2 AS (
   SELECT
     "v1"."i_category"
   , "v1"."i_brand"
   , "v1"."s_store_name"
   , "v1"."s_company_name"
   , "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"."s_store_name" = "v1_lag"."s_store_name")
      AND ("v1"."s_store_name" = "v1_lead"."s_store_name")
      AND ("v1"."s_company_name" = "v1_lag"."s_company_name")
      AND ("v1"."s_company_name" = "v1_lead"."s_company_name")
      AND ("v1"."rn" = ("v1_lag"."rn" + 1))
      AND ("v1"."rn" = ("v1_lead"."rn" - 1))
) 
SELECT *
FROM
  v2
WHERE ("d_year" = 1999)
   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) > DECIMAL '0.1')
ORDER BY ("sum_sales" - "avg_monthly_sales") ASC, 3 ASC
LIMIT 100
;