Re: [SQL] select into
On Friday 24 November 2006 08:17 pm, Mulham freshcode wrote: > Hi Adrian, > > I have number of similar tables that have different number of fields > (similar in functionality). An in my stored procedure am trying to select a > row from one of these tables (that i don't know in advance, hence the use > of record) and return the data in the form of a table that has > column_name:value pairs. where column name is that from the original table. > I have no problem finding the column names but I don't know how to say > data[column_name] to get the corresponding value. Is there a way to do it > in pgsql? > > here is my code so far > > sql_str1 = 'select * from ' || svc_tbl_name || ' where uid = ' || > sub_id ; > > for svc_data_rec in execute sql_str1 loop > end loop; > > -- get service_user table's column names > for col_name in select column_name > from information_schema.columns > where table_name~svc_tbl_name loop > > raise notice 'Column name:%', col_name.column_name; > raise notice 'Value: %', svc_data_rec[col_name.column_name]; > > end loop; > > Thank you, > > Mustafa ... > I am afraid I can't make it work either. -- Adrian Klaver [EMAIL PROTECTED] ---(end of broadcast)--- TIP 1: if posting/reading through Usenet, please send an appropriate subscribe-nomail command to [EMAIL PROTECTED] so that your message can get through to the mailing list cleanly
Re: [SQL] select into
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]
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