From: Adam Witney <awitney@sghms.ac.uk>
To: pgsql-sql <pgsql-sql@postgresql.org>
Subject: query or design question
Date: Mon, 20 Oct 2003 11:58:00 +0100
Message-ID: <BBB97E48.26975%awitney@sghms.ac.uk> (raw)
Hi,
I have a table like so
CREATE TABLE imagene (
id int
bioassay_id int
gene_id text
s_row int
s_column int
s_meta_row int
s_meta_column int
sig_median numeric
bkg_median numeric
);
Rows are unique on (bioassay_id, gene_id, s_row, s_column, s_meta_row,
s_meta_column)
They are grouped like this (note, the counts will not always be the same)
cabbage=# select bioassay_id, count(*) from imagene group by bioassay_id;
bioassay_id | count
-------------+-------
106 | 10944
107 | 10944
And I need to generate an output like this......
bioassay_id=106 bioassay_id=107
---------------------- ----------------------
gene_id, sig_median, bkg_median, sig_median, bkg_median
I can do something like this
SELECT a.gene_id,
a.sig_median, a.bkg_median,
b.sig_median, b.bkg_median
FROM
imagene a,
imagene b
WHERE
a.s_meta_row = b.s_meta_row AND
a.s_meta_col = b.s_meta_col AND
a.s_row = b.s_row AND
a.s_column = b.s_column AND
a.bioassay_id = 106 AND
b.bioassay_id = 107;
But this is quite slow... And not generic as I may need to generate the
output for more than two bioassay_ids. Also I may need to do an outer join
to make sure I get all rows from both data sets?
I am not sure if a crosstab function will do this?
Any ideas of pointers would be greatly appreciated
Thanks
Adam
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To: pgsql-sql@postgresql.org
Cc: awitney@sghms.ac.uk
Subject: Re: query or design question
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