am Tue, dem 22.04.2008, um 22:25:04 +0100 mailte Tarlika Elisabeth Schmitz folgendes:
> I am not quite sure whether this would be sensible or indeed at
> all possible to do in SQL:
>
> TABLE product: product_pk, product_name, department_fk
> TABLE product: department_pk, department_name
>
> example data:
>
> SELECT product_pk, department_name, product_name ... LEFT JOIN ...:
>
> 1, "cakes & desserts", "apple crumble"
> 2, "cakes & desserts", "cheese cake"
> 3, "starters & soups", "french onion soup"
>
>
> I need to extract the words from department_name and product_name
> (words are separated by spaces) and get something like:
>
> 1 cakes
> 1 desserts
> 1 apple
> 1 crumble
> 2 cakes
> 2 desserts
> 2 cheese
> 2 cake
> 3 starters
> 3 soups
> 3 french
> 3 onion
> 3 soup
>
A little function (author: David Fetter)
-- split a string to rows, by David Fetter
CREATE OR REPLACE FUNCTION split_to_rows(TEXT, TEXT) RETURNS SETOF TEXT
STRICT
LANGUAGE sql
AS $$ SELECT (string_to_array($1, $2))[s.i] FROM generate_series( 1, array_upper(string_to_array($1,
$2),1) ) AS s(i);
$$;
And now:
test=*# select * from product ;id | val1 | val2
----+------------------+------------------- 1 | cakes & desserts | apple crumble 2 | cakes & desserts | cheese cake 3 |
starters& soups | french onion soup
(3 rows)
test=*# select id, split_to_rows(replace(val1 || ' ' || val2,' &',''),' ') as col1 from product;id | col1
----+---------- 1 | cakes 1 | desserts 1 | apple 1 | crumble 2 | cakes 2 | desserts 2 | cheese 2 | cake 3 | starters 3
|soups 3 | french 3 | onion 3 | soup
(13 rows)
HTH, Andreas
--
Andreas Kretschmer
Kontakt: Heynitz: 035242/47150, D1: 0160/7141639 (mehr: -> Header)
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