Let's say I have the following table:
CREATE TABLE stock_prices (
stock TEXT NOT NULL,
date DATE NOT NULL,
price REAL NOT NULL,
UNIQUE (stock, date)
);
I want to calculate for each day, the highest price for each stock in the preceding 3-month window.
I can't do a simple self join with date - INTERVAL(3 'MONTH')
since my stock_price
table has some "holes" for holidays and weekends. Similarly a naive window also does not work:
SELECT
stock,
date,
LAST_VALUE(price) OVER (PARTITION BY stock ORDER BY date ROWS 90 PRECEDING)
FROM stock_prices
I almost want a window frame here with a condition based on the current row. Is that possible in PostgreSQL?
You can fill up the table with the missing rows using the function generate_series ()
, so a window function would return correct data. You can select the period of report specifying start and end dates in generate_series ()
:
select
stock,
date,
price,
max(price) over (partition by stock order by date rows 90 preceding)
from (
select d::date as date, s.stock, sp.price
from generate_series('2016-01-01'::date, '2016-07-28', '1d') g(d)
cross join (
select distinct stock
from stock_prices
) s
left join stock_prices sp on g.d = sp.date and s.stock = sp.stock
) s
order by 1, 2;
This alternative solution with a simple subquery:
select
stock,
date,
price,
(
select max(price)
from stock_prices sp2
where sp2.stock = sp1.stock
and sp2.date >= sp1.date- interval '90days'
and sp2.date <= sp1.date
) highest_price
from
stock_prices sp1
order by 1, 2;
will be much more expensive. In this case you should obligatory use the index
create index on stock_prices (stock, date);
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