I would like to create a view based on data in following structure:
CREATE TABLE my_table (
date date,
daily_cumulative_precip float4
);
INSERT INTO my_table (date, daily_cumulative_precip)
VALUES
('2016-07-28', 3.048)
, ('2016-08-04', 2.286)
, ('2016-08-11', 5.334)
, ('2016-08-12', 0.254)
, ('2016-08-13', 2.794)
, ('2016-08-14', 2.286)
, ('2016-08-15', 3.302)
, ('2016-08-17', 3.81)
, ('2016-08-19', 15.746)
, ('2016-08-20', 46.739998);
I would like to accumulate the precipitation for consecutive days only.
Below is the desired result for a different test case - except that days without rain should be omitted:
I have tried window functions with OVER(PARTITION BY date, rain_on_day)
but they do not yield the desired result.
How could I solve this?
SELECT date
, dense_rank() OVER (ORDER BY grp) AS consecutive_group_nr -- optional
, daily_cumulative_precip
, sum(daily_cumulative_precip) OVER (PARTITION BY grp ORDER BY date) AS cum_precipitation_mm
FROM (
SELECT date, t.daily_cumulative_precip
, row_number() OVER (ORDER BY date) - t.rn AS grp
FROM (
SELECT generate_series (min(date), max(date), interval '1 day')::date AS date
FROM my_table
) d
LEFT JOIN (SELECT *, row_number() OVER (ORDER BY date) AS rn FROM my_table) t USING (date)
) x
WHERE daily_cumulative_precip > 0
ORDER BY date;
db<>fiddle here
Returns all rainy days with cumulative sums for consecutive days (and a running group number).
Basics: