Subject: Re: "Flattening" query result into columns
From: Scott Marlowe <smarlowe@g2switchworks.com>
To: Thomas Borg Salling <tbs@navicon.dk>
Cc: pgsql-sql@postgresql.org
In-Reply-To: <20050321215723.E79E356388@svr1.postgresql.org>
References: <20050321215723.E79E356388@svr1.postgresql.org>
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Message-Id: <1111452377.26897.487.camel@state.g2switchworks.com>
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Date: Mon, 21 Mar 2005 18:46:17 -0600

On Mon, 2005-03-21 at 15:57, Thomas Borg Salling wrote:
> I am looking for a way to =E2=80=9Dflatten=E2=80=9D a query result, so th=
at rows are
> =E2=80=9Dtransposed=E2=80=9D into columns, just as asked here for oracle:
>=20
> http://groups.google.dk/groups?hl=3Dda&lr=3D&client=3Dfirefox-a&rls=3Dorg=
.mozilla:en-US:official&selm=3Daad10be0.0401292322.7b6c320b%40posting.googl=
e.com
>=20
> =20
>=20
> Is there any way to do this with pgsql  ?

Here's one from work that allows you to do the same basic thing without
a separate cross table:

select=20
	a.lt ,
	b.perspective as XYZ_pers,
	b.averageresponsetime as XYZ_aver,
	b.lowestresponsetime as XYZ_lowe,
	b.highestresponsetime as XYZ_high,
	b.totalcount as XYZ_tota,
	c.perspective as ABC_pers,
	c.averageresponsetime as ABC_aver,
	c.lowestresponsetime as ABC_lowe,
	c.highestresponsetime as ABC_high,
	c.totalcount as ABC_tota=20
from (
	select distinct date_trunc('minutes', lastflushtime) as lt from businessre=
questsummary
	where lastflushtime between '2005-03-14 18:42:34' and '2005-03-21 18:42:34=
'=20
	and perspective in ('XYZ','ABC')
) as a=20
left join (
	select date_trunc('minutes', lastflushtime) as lt,
	max(perspective) as perspective,
	floor(avg(averageresponsetime)) as averageresponsetime,
	min(lowestresponsetime) as lowestresponsetime,
	max(highestresponsetime) as highestresponsetime,
	sum(totalcount) as totalcount
	from businessrequestsummary=20
	where perspective =3D'XYZ'
	group by date_trunc('minutes', lastflushtime)
) as b=20
on=20
	(a.lt=3Db.lt)=20
left join (
	select date_trunc('minutes', lastflushtime) as lt,
	max(perspective) as perspective,
	floor(avg(averageresponsetime)) as averageresponsetime,
	min(lowestresponsetime) as lowestresponsetime,
	max(highestresponsetime) as highestresponsetime,
	sum(totalcount) as totalcount
	from businessrequestsummary=20
	where perspective =3D'ABC'
	group by date_trunc('minutes', lastflushtime)
) as c=20
on=20
	(a.lt=3Dc.lt)=20

IT's generated by a script that makes it as big as we need for all the diff=
erent perspectives.