Re: partial time stamp query - Mailing list pgsql-general
From | Kirk Wythers |
---|---|
Subject | Re: partial time stamp query |
Date | |
Msg-id | D54FF3CA-76DC-46F4-AEDA-B2CF50E981B0@umn.edu Whole thread Raw |
In response to | Re: partial time stamp query (Kirk Wythers <kirk.wythers@gmail.com>) |
Responses |
Re: partial time stamp query
|
List | pgsql-general |
Hi Brent,=20 Nice to hear from you. I hope your world is good.=20 On Feb 4, 2013, at 2:14 PM, Brent Wood <Brent.Wood@niwa.co.nz> wrote: > Hi Kirk, >=20 > We have a (near) real time data database for instrument observations = from our research vessels. All observations (summarised to one minute = intervals - the actual raw data is in netCDF, this database makes for = easier access & meets most users needs) go into a single table, with = other tables for metadata about platforms, instruments, etc. Now = approaching 350m records, so reasonably substantial. >=20 > Underlying optimisations include >=20 > partitioned readings table, with a separate partition for each year = (now 23 years) > clustered index on timestamp for the previous years partitions. > largeish filesystem block size - tested to work well with the = clustered index & small size records) >=20 > These generally make a big difference to performance. To address one = issue, much like yours, where some users want hourly data for a year, = some want daily data for 10 years & some want 1 minute data for the last = month (& some, no doubt, want one minute data for 20+ years!) I = introduced an integer column called timer. This value is set according = to the time (not date) of each record. Very similar to what I need to do. Our main table consists of records = that have been standardized to 15 minute timestamps. Here is a = simplified example record timestamp variable value 1 12:00:00 temp 12.6 2 12:15:00 temp 12.3 3 12:30:00 temp 11.7 4 12:45:00 temp 12.3 5 13:00:00 temp 13.9 6 13:15:00 temp 12.5 7 13.30:00 temp 13.7 8 13:45:00 temp 12.0 You are exactly right, some people will want the original 15 minute = version, some people will want these summarized to hourly data, and = others will want these summarized to daily data. Still others may be = satisfied with monthly summaries.=20 >=20 > Along the lines of (from memory) :an even no of minutes after the hour = is 2, 5 minutes is 4, 10 minutes is 8, 15 minute is 16, 30 minutes is = 32, 60 minutes is 64, 6 hourly is 128, 12:00 AM is 256 & 12:00PM is 512. = When any timestamp is in more than one category (eg: 12:00 is all of = even, 5, 15m 30m 60 minutes), the timer value is set to the largest = appropriate one. I'm not quite following. In my case, if I want hourly data, I'd be = looking for=85 record timestamp variable value 1 12:00:00 temp 12.225 2 13:00:00 temp 13.025 Are you saying that I could use an approach that WHILE statement? = Something like: WHILE data_truc('hour', timestamp) =3D 12:00:00, then calulate = AVG(value)? >=20 > So a request for: > 1 minute data is select from table; > 2 minute data is select from table where timer >=3D2 and timer !=3D15 = and timer !=3D4; > hourly data is select from table where timer >=3D64 and timer !=3D 15 = and timer !=3D 4; > etc >=20 > 5 & 15 minute add a bit of complexity, but we gave the users what they = wanted. This has worked well for years now, & we have an internal web = (mapserver/openlayers based) application allowing users to visualise & = download their selected data - they choose from an interval pick list & = the SQL is hidden. Some extra enhancements are the automatic collation = of lat & lon gps readings into a Postgis point for each reading record, = & the automatic aggregation of daily points into daily track lines, so = the track for any selected set of dates can easily be displayed on a map = (the platforms are mobile vessels - not fixed sites) >=20 > You might adapt some of these ideas for your use case? >=20 > Cheers >=20 > Brent Wood >=20 > Programme leader: Environmental Information Delivery > NIWA > DDI: +64 (4) 3860529 > ________________________________________ > From: pgsql-general-owner@postgresql.org = [pgsql-general-owner@postgresql.org] on behalf of Kirk Wythers = [wythe001@umn.edu] > Sent: Tuesday, February 05, 2013 5:58 AM > To: pgsql-general@postgresql.org > Subject: Fwd: [GENERAL] partial time stamp query >=20 > Thanks. That worked great! Now I am trying to aggregate these same = fifteen minute to hourly. I have tried using date_trunk: >=20 > date_trunc('hour', derived_tsoil_fifteen_min_stacked.time2), >=20 > but date_truck only seems to aggriage the timestamp. I thought I could = use >=20 > AVG(derived_tsoil_fifteen_min_stacked.value) >=20 > in combination with date_trunk, but I still get 15 minute values, not = the hourly average from the four 15 minute records. >=20 > 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 >=20 > I was tying to get two records out of this set, with the 'avg" column = representing the mean of the first and last four of each 15 minute = records. >=20 > Perhaps date_trunk only works for the timestamp? >=20 >=20 >=20 > On Feb 4, 2013, at 8:50 AM, Misa Simic = <misa.simic@gmail.com<mailto:misa.simic@gmail.com>> wrote: >=20 > WHERE derived_tsoil_fifteen_min_stacked.time2::date =3D = '2010-07-07'::date >=20 > On Monday, February 4, 2013, Kirk Wythers wrote: > I am trying to write a query that grabs one particular day from a = timestamp column. The data are ordered in 15 minute chunks like this: >=20 > 2010-07-07 12:45:00 > 2010-07-07 13:00:00 > 2010-07-07 13:15:00 > 2010-07-07 13:30:00 > etc=85 >=20 > If I wanted all records from july 7th 2010, I would expect 4 x 24 =3D = 96 records per day. >=20 > I have tried the '=3D' operator, like this >=20 > WHERE derived_tsoil_fifteen_min_stacked.time2 =3D '2010-07-07*' >=20 > but that grabs nothing, and using the '~' operator grabs everything = with a 2010 or 07 in it=85 in other words all days from July of 2010. >=20 > Any suggestions would be much appreciated. >=20 > -- > Sent via pgsql-general mailing list (pgsql-general@postgresql.org) > To make changes to your subscription: > http://www.postgresql.org/mailpref/pgsql-general >=20 >=20 > -- > Please consider the environment before printing this email. > NIWA is the trading name of the National Institute of Water & = Atmospheric Research Ltd.
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