From: Pavel Stehule <pavel.stehule@gmail.com>
To: pgsql-sql@postgresql.org
Subject: Re: graphing time series data
Date: Wed, 14 Apr 2010 18:06:59 +0200
Message-ID: <n2i162867791004140906l3cf1ac73q39343c54bb5facb1@mail.gmail.com> (raw)
In-Reply-To: <20100414154958.GA16847@apartia.fr>
References: <20100414145434.GA13682@apartia.fr>
<r2k396486431004140846y4579154erc604d6286ac2cb89@mail.gmail.com>
<20100414154958.GA16847@apartia.fr>
2010/4/14 Louis-David Mitterrand <vindex+lists-pgsql-sql@apartia.org>:
> On Wed, Apr 14, 2010 at 08:46:13AM -0700, Richard Broersma wrote:
>> On Wed, Apr 14, 2010 at 7:54 AM, Louis-David Mitterrand
>> <vindex+lists-pgsql-sql@apartia.org> wrote:
>>
>> > Now, I'd like to make a graph of average prices per week, per
>> > id_product. As some prices don't vary much, distribution would not be
>> > ideal if I simply 'group by extract(week from p.modified)'.
>>
>> I created a view for a similar problem that I had. Only I was
>> calculating the counts per day. this query could be crafted to work
>> for you.
>>
>> CREATE OR REPLACE VIEW opendiscrepencydailycounts AS
>> WITH opendays(day) AS (
>> SELECT gs.day::date AS day
>> FROM generate_series((( SELECT
>> min(discrepencylist.discstartdt) AS min
>> FROM discrepencylist))::timestamp without time
>> zone, 'now'::text::date::timestamp without time zone, '1
>> day'::interval) gs(day)
>> )
>> SELECT opendays.day, ds.resolvingparty, count(opendays.day) AS
>> opendiscrepancies
>> FROM discrepencylist ds, opendays
>> WHERE opendays.day >= ds.discstartdt AND opendays.day <=
>> LEAST('now'::text::date, ds.resolutiondate)
>> GROUP BY opendays.day, ds.resolvingparty
>> ORDER BY opendays.day, ds.resolvingparty;
>
> You confirm my modus operandi. I tried the following which seems to give
> me optimal price distribution:
>
> select w.week,count( p.id_price) from
> (select generate_series(min(p.created_on),max(p.modified_on),'1
> week') as week from price p) as w join price p on (p.created_on <
> w.week + '7 days' and p.modified_on > w.week + '7 days') group by
> w.week order by w.week
>
> week | count
> ------------------------+--------
> 2010-02-10 15:32:18+01 | 125369
> 2010-02-17 15:32:18+01 | 126882
> 2010-02-24 15:32:18+01 | 128307
> 2010-03-03 15:32:18+01 | 126742
> 2010-03-10 15:32:18+01 | 133596
> 2010-03-17 15:32:18+01 | 149019
> 2010-03-24 15:32:18+01 | 149908
> 2010-03-31 15:32:18+02 | 147617
>
> The rest should be easy from there!
I don't understand well. Why you don't use a function date_trunc(),
select date_trunc('week', created), count(*)
from price
group by date_trunc('week', created)
Regards
Pavel Stehuke
>
> Thanks for your input,
>
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To: pgsql-sql@postgresql.org
Cc: pavel.stehule@gmail.com
Subject: Re: graphing time series data
In-Reply-To: <n2i162867791004140906l3cf1ac73q39343c54bb5facb1@mail.gmail.com>
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