blob: c2bd54ffa0209c613f7e7cced74023e009f5ba34 [file] [log] [blame]
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_brand,
v1.d_year,
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;