A View to Materialize
First, we need something worth materializing. We’ll start with our
view from the previous chapter, but we’ll make it a bit more complex so
that we can explore a variety of caching techniques. Example 12-1 shows an extended
version of our view, which incorporates the number of seats available in
a theatre as seats_available, and the
number of tickets purchased thus far as tickets_purchased. Since the purpose of this
view is to show movie showtimes for which we can sell tickets, a filter
has been added to the where clause to
filter out showtimes that are sold out. Additions to our original view
are shown in bold.
Example 12-1. A slightly more complex version of our original view from Chapter 11
create or replace view current_movie_showtimes as
select m.name,
m.rating_id,
m.length_minutes,
ms.*,
t.name as theatre_name,
t.zip_code,
z.latitude,
z.longitude,
a.seats_available,
coalesce(ptc.purchased_tickets_count, 0) as purchased_tickets_count
from movie_showtimes ms
join movies m on (ms.movie_id = m.id)
join theatres t on (ms.theatre_id = t.id)
join zip_codes z on (t.zip_code = z.zip)
join auditoriums a on (ms.room = a.room and ms.theatre_id = a.theatre_id)
left outer join (
select count(*) as purchased_tickets_count,
o.movie_showtime_id
from orders o,
purchased_tickets pt
where pt.order_confirmation_code = o.confirmation_code
group by o.movie_showtime_id
) ptc on (ptc.movie_showtime_id = ms.id) where (ms.start_time - now()) < '1 week'::interval and ms.start_time ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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