Re: date_trunc to aggregate values?
От | Jason Dusek |
---|---|
Тема | Re: date_trunc to aggregate values? |
Дата | |
Msg-id | CAO3NbwP1MnvRKHqUj8EV-QzQAmzH-5T_UjpUUjL5PPozBkuJkg@mail.gmail.com обсуждение исходный текст |
Ответ на | date_trunc to aggregate values? (Kirk Wythers <wythe001@umn.edu>) |
Ответы |
Re: date_trunc to aggregate values?
|
Список | pgsql-general |
2013/2/4 Kirk Wythers <wythe001@umn.edu>: > I am looking for suggestions on aggregation techniques using a timestamp column. In my case I have tried: > > date_trunc('hour', derived_tsoil_fifteen_min_stacked.time2), > > but date_truck only seems to aggregate the timestamp. I thought I could use > > AVG(derived_tsoil_fifteen_min_stacked.value) > > in combination with date_trunk, but I still get 15 minute values, not the hourly average from the four 15 minute records. > > rowid date_truck time2 site canopy plot variable name value avg > 2010-07-07_00:00:00_b4warm_a 2010-07-07 00:00:00 1 2010-07-07 00:00:00 cfc closed a2 tsoil_sc tsoil_avg1_sc 21.06 21.0599994659424 > 2010-07-07_00:15:00_b4warm_a 2010-07-07 00:00:00 1 2010-07-07 00:15:00 cfc closed a2 tsoil_sc tsoil_avg1_sc 20.96 20.9599990844727 > 2010-07-07_00:30:00_b4warm_a 2010-07-07 00:00:00 1 2010-07-07 00:30:00 cfc closed a2 tsoil_sc tsoil_avg1_sc 20.88 20.8799991607666 > 2010-07-07_00:45:00_b4warm_a 2010-07-07 00:00:00 1 2010-07-07 00:45:00 cfc closed a2 tsoil_sc tsoil_avg1_sc 20.8 20.7999992370605 > 2010-07-07_01:00:00_b4warm_a 2010-07-07 01:00:00 1 2010-07-07 01:00:00 cfc closed a2 tsoil_sc tsoil_avg1_sc 20.72 20.7199993133545 > 2010-07-07_01:15:00_b4warm_a 2010-07-07 01:00:00 1 2010-07-07 01:15:00 cfc closed a2 tsoil_sc tsoil_avg1_sc 20.64 20.6399993896484 > 2010-07-07_01:30:00_b4warm_a 2010-07-07 01:00:00 1 2010-07-07 01:30:00 cfc closed a2 tsoil_sc tsoil_avg1_sc 20.55 20.5499992370605 > 2010-07-07_01:45:00_b4warm_a 2010-07-07 01:00:00 1 2010-07-07 01:45:00 cfc closed a2 tsoil_sc tsoil_avg1_sc 20.47 20.4699993133545 > > I was tying to get two records out of this set, with the 'avg" column representing the mean of the first and last fourof each 15 minute records. > > Suggestions? Are you using an explicit GROUP BY? -- Jason Dusek pgp // solidsnack // C1EBC57DC55144F35460C8DF1FD4C6C1FED18A2B
В списке pgsql-general по дате отправления: