1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
|
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, d_moy) 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 > 0.1
ORDER BY sum_sales - avg_monthly_sales, 3
LIMIT 100
|
