blob: e843f41e4e48c863846d0b215bc2565ab7dd6188 [file] [log] [blame]
select
*
from
(select
i.i_manufact_id as imid,
sum(ss.ss_sales_price) sum_sales
-- avg(sum(ss.ss_sales_price)) over (partition by i.i_manufact_id) avg_quarterly_sales
from
item as i,
store_sales as ss,
date_dim as d,
store as s
where
ss.ss_item_sk = i.i_item_sk
and ss.ss_sold_date_sk = d.d_date_sk
and ss.ss_store_sk = s.s_store_sk
and d.d_month_seq in (1212, 1212 + 1, 1212 + 2, 1212 + 3, 1212 + 4, 1212 + 5, 1212 + 6, 1212 + 7, 1212 + 8, 1212 + 9, 1212 + 10, 1212 + 11)
and ((i.i_category in ('Books', 'Children', 'Electronics')
and i.i_class in ('personal', 'portable', 'reference', 'self-help')
and i.i_brand in ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9'))
or (i.i_category in ('Women', 'Music', 'Men')
and i.i_class in ('accessories', 'classical', 'fragrances', 'pants')
and i.i_brand in ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')))
and ss.ss_sold_date_sk between 2451911 and 2452275 -- partition key filter
group by
i.i_manufact_id,
d.d_qoy
) tmp1
-- where
-- case when avg_quarterly_sales > 0 then abs (sum_sales - avg_quarterly_sales) / avg_quarterly_sales else null end > 0.1
order by
-- avg_quarterly_sales,
sum_sales,
tmp1.imid
limit 100;