Re: "Flattening" query result into columns

Thanks to all for the useful replies. I chose this approach from Scott
Marlowe, which can meet the requirements I work against. Arrays seemed to
have some issues with element with null elements.
/Thomas.

-----Oprindelig meddelelse-----
Fra: pgsql-sql-owner(at)postgresql(dot)org [mailto:pgsql-sql-owner(at)postgresql(dot)org]
På vegne af Scott Marlowe
Sendt: 22. marts 2005 01:46
Til: Thomas Borg Salling
Cc: pgsql-sql(at)postgresql(dot)org
Emne: Re: [SQL] "Flattening" query result into columns

On Mon, 2005-03-21 at 15:57, Thomas Borg Salling wrote:
> I am looking for a way to ”flatten” a query result, so that rows are
> ”transposed” into columns, just as asked here for oracle:
>
>
http://groups.google.dk/groups?hl=da&lr=&client=firefox-a&rls=org.mozilla:en
-US:official&selm=aad10be0.0401292322.7b6c320b%40posting.google.com
>
>
>
> 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
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
from (
select distinct date_trunc('minutes', lastflushtime) as lt from
businessrequestsummary
where lastflushtime between '2005-03-14 18:42:34' and '2005-03-21
18:42:34'
and perspective in ('XYZ','ABC')
) as a
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
where perspective ='XYZ'
group by date_trunc('minutes', lastflushtime)
) as b
on
(a.lt=b.lt)
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
where perspective ='ABC'
group by date_trunc('minutes', lastflushtime)
) as c
on
(a.lt=c.lt)

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

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