CODEWITHSUNDEEP
postgresqlaveragetemporal-database
Hamed Footohi
Hamed Footohi

Reputation: 421

Creating Hourly average based on 2 minutes before and after of time instantaneous in PostgreSQL

I have a temporal database with 2 minutes sampling frequency and I want to extract instantaneous hourly values as 00:00, 01:00, 02, ... 23 for each day.
So, I would like to get the average value from average of values :

HH-1:58, HH:00 and HH:02 = Average of HH o'clock

OR

HH-1:59, HH:01 and HH:03 = Average of HH o'clock

Sample Data1:

9/28/2007 23:51 -1.68
9/28/2007 23:53 -1.76
9/28/2007 23:55 -1.96
9/28/2007 23:57 -2.02
9/28/2007 23:59 -1.92
9/29/2007 0:01  -1.64
9/29/2007 0:03  -1.76
9/29/2007 0:05  -1.83
9/29/2007 0:07  -1.86
9/29/2007 0:09  -1.94

Expected Result:

For 00 midnight:

(-1.92+-1.64+-1.76)/3

Sample Data2:

9/28/2007 23:54 -1.44
9/28/2007 23:56 -1.58
9/28/2007 23:58 -2.01
9/29/2007 0:00  -1.52
9/29/2007 0:02  -1.48
9/29/2007 0:04  -1.46

Expected Results:

(-2.01+-1.52+-1.48)/3

Upvotes: 0

Views: 189

Answers (2)

Quassnoi
Quassnoi

Reputation: 425291

SELECT  hr, ts, aval
FROM    (
        SELECT  *, ROW_NUMBER() OVER (PARTITION BY hr ORDER BY ts) rn
        FROM    (
                SELECT  *,
                        DATE_TRUNC('hour', ts) AS hr,
                        AVG(value) OVER (ORDER BY ts ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) AS aval
                FROM    mytable
                ) q
        ) q
WHERE   rn = 1

Upvotes: 2

Scott Lamb
Scott Lamb

Reputation: 2216

PostgreSQL's window functions make anything involving adjacent rows a lot simpler than it used to be. Untried but should be roughly right:

select
  date_trunc('hour', newest_time) as average_time,
  (oldest_temp + middle_temp + newest_temp) / 3 as average_temp
from (
  select
    date_trunc('hour', sample_time) as average_time,
    lag(sample_time, 2) over w as oldest_time,
    lag(sample_time, 1) over w as middle_time,
    sample_time as newest_time,
    lag(sample_temp, 2) over w as oldest_temp,
    lag(sample_temp, 1) over w as middle_temp,
    sample_temp as newest_temp
  from
    samples
  window
    w as (order by sample_time)
) as s
where
  oldest_time = newest_time - '4 minutes'::interval and
  middle_time = newest_time - '2 minutes'::interval and
  extract(minute from newest_time) in (2, 3);

I've restricted this in the where clause to exactly the scenario you've described - latest value at :02 or :03, prior 2 values 2 and 4 minutes before. Just in case you have some missing data which would otherwise give odd results like averaging over a much longer interval.

Upvotes: 1

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