On Sunday 26 November 2006 02:45 pm, Adrian Klaver wrote:
>
> I am afraid I can't make it work either.
I could not make it work with pl/pgsql, but I did manage to come up with a
solution using pl/pythonu.
The function is as follows-
CREATE OR REPLACE FUNCTION dat_col_py(text) RETURNS text AS
$Body$
tbl_name=args[0]
cols=plpy.prepare("select column_name from information_schema.columns where\
table_name=$1",["text"])
clean=plpy.prepare("delete from dat_col where table_name=$1",["text"])
clean_tbl=plpy.execute(clean,[tbl_name])
ins=plpy.prepare("insert into dat_col values($1,$2,$3),["text","text","text"])
data_rs=plpy.execute('select * from '+tbl_name)
cols_rs=plpy.execute(cols,[tbl_name])
for i in range(len(data_rs)):
for j in range(len(cols_rs)):
plpy.execute(ins,(tbl_name,cols_rs[j]['column_name'],
data_rs[i][cols_rs[j]['column_name'] ]))
$Body$
LANGUAGE plpythonu;
For this to work I created a table dat_col(table_name text,column_name
text,column_data text). The function deletes old data from the table before
it is run, based on table name. Just run as dat_col_py("table name"). This
assumes you have pl/pythonu installed.
--
Adrian Klaver
[EMAIL PROTECTED]
---------------------------(end of broadcast)---------------------------
TIP 9: In versions below 8.0, the planner will ignore your desire to
choose an index scan if your joining column's datatypes do not
match
