python spark-sql-aggregations.py

Posted 2021-05-09

select * from (
select o.order_id, o.order_date, o.order_status, oi.order_item_subtotal, 
round(sum(oi.order_item_subtotal) over (partition by o.order_id), 2) order_revenue,
oi.order_item_subtotal/round(sum(oi.order_item_subtotal) over (partition by o.order_id), 2) pct_revenue,
round(avg(oi.order_item_subtotal) over (partition by o.order_id), 2) avg_revenue
from orders o join order_items oi
on o.order_id = oi.order_item_order_id
where o.order_status in ('COMPLETE', 'CLOSED')) q
where order_revenue >= 1000
order by order_date, order_revenue desc, rank_revenue;