<p><font size="2">Hi I have looked into the tablefunc / crosstab contrib for postgres and it appears like it can't
performwhat I need.</font><p><font size="2">The crosstab function converts this : </font><p> <font
size="2">row_name cat value</font><br /><font size="2"> ----------+-------+-------</font><br /><font
size="2"> row1 cat1 val1</font><br /><font size="2"> row1 cat2 val2</font><br
/><fontsize="2"> row1 cat3 val3</font><br /><font size="2"> row1 cat4
val4</font><br/><font size="2"> row2 cat1 val5</font><br /><font size="2"> row2
cat2 val6</font><br /><font size="2"> row2 cat3 val7</font><br /><font size="2">
row2 cat4 val8</font><p><font size="2">To this : </font><p> <font size="2">row_name
category_1 category_2</font><br /><font size="2"> ---------+------------+------------</font><br /><font
size="2"> row1 val1 val2</font><br /><font size="2"> row2 val5
val6</font><p><fontsize="2">Is it possible to do the opposite and go from a column(denormalized) structure to a
row(normalized)structure.</font><p><font size="2">I have a table that is similarly stuctured like so:</font><p><font
size="2">Melbourne_figures Sydney_figures Adelaide_figures etc...</font><br /> <font
size="2">10 20 22</font><br /> <font size="2">10
22 29</font><br /> <font size="2">...</font><br /><p><font size="2">However I wish to
convertlike so :</font><p><font size="2">Melbourne 20</font><br /><font size="2">Sydney 42</font><br /><font
size="2">Adelaide 51</font><p><font size="2">I have tried using unions or subselects however the table is quite
largeand it takes far too long to run. The most efficient way would be to create a stored proc that uses a cursor to
loopthrough the table transforming the data into the new table structure. However I would appreciate your feeback
beforewriting this procedure?</font><p><font size="2">Theo</font><table><tr><td bgcolor="#ffffff"><font
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