From: | Theo Galanakis <Theo(dot)Galanakis(at)lonelyplanet(dot)com(dot)au> |
---|---|
To: | pgsql-sql(at)postgresql(dot)org |
Subject: | crosstab |
Date: | 2005-03-02 04:30:27 |
Message-ID: | D1444817B78AB546BF2896C2B70E7F04371F22@ganesh.au.lpint.net |
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Lists: | pgsql-sql |
Hi I have looked into the tablefunc / crosstab contrib for postgres and it
appears like it can't perform what I need.
The crosstab function converts this :
row_name cat value
----------+-------+-------
row1 cat1 val1
row1 cat2 val2
row1 cat3 val3
row1 cat4 val4
row2 cat1 val5
row2 cat2 val6
row2 cat3 val7
row2 cat4 val8
To this :
row_name category_1 category_2
---------+------------+------------
row1 val1 val2
row2 val5 val6
Is it possible to do the opposite and go from a column(denormalized)
structure to a row(normalized) structure.
I have a table that is similarly stuctured like so:
Melbourne_figures Sydney_figures Adelaide_figures etc...
10 20 22
10 22 29
...
However I wish to convert like so :
Melbourne 20
Sydney 42
Adelaide 51
I have tried using unions or subselects however the table is quite large and
it takes far too long to run. The most efficient way would be to create a
stored proc that uses a cursor to loop through the table transforming the
data into the new table structure. However I would appreciate your feeback
before writing this procedure?
Theo
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