On Wed, Sep 7, 2016 at 4:39 PM, Adrian Klaver <adrian.klaver@xxxxxxxxxxx> wrote:
On 09/07/2016 04:25 PM, Jim Nasby wrote:
On 9/7/16 6:07 PM, Ken Tanzer wrote:
ERROR: PL/Python functions cannot accept type record
Ugh, yeah... that won't work. plperl might be able to do it, but I
suspect you're going to be stuck pulling the size info out of
info_schema or the catalog.
Actually, there is a way you could hack this via plpython; pass the row
in as text as well as the relation (regclass is good for that). You
could then do plpy.execute('SELECT (%::%).*'.format(row_text,
relation)); that should give you a dict just like Adrian's example did.
It would be nice if there was a function that accepted something with a
row descriptor and spit out the details of the descriptor.
http://pgxn.org/dist/colnames/doc/colnames.html comes close; if you know
much about C at all it shouldn't be hard to add a function to that
extension that returned the full details of the row. That and converting
the row to JSON would make it relatively easy to accomplish what you
want in a plpgsql (or maybe even plsql) function.
Getting closer:
CREATE OR REPLACE FUNCTION public.str_concat(r json)
RETURNS text
LANGUAGE plpythonu
AS $function$
import json
j = json.loads(r)
str_out = ""
plpy.notice(type(j))
for col in j:
str_out += j[col]
return str_out
$function$
production=# select str_concat(row_to_json(t)) from str_test as t;
NOTICE: <type 'dict'>
CONTEXT: PL/Python function "str_concat"
str_concat
-----------------------
09/07/161234 1
That's great, and was more than enough to get me started. This is what I ended up with, which I think does the trick. Thanks so much!
CREATE OR REPLACE FUNCTION ebh_transaction_assemble( view_name varchar, j_rec json ) RETURNS varchar LANGUAGE plpythonu AS $$
import json
j = json.loads(j_rec)
str_out = ""
query="SELECT column_name,character_maximum_length,ordinal_position,data_type FROM information_schema.columns WHERE table_name ='" + view_name + "' ORDER BY ordinal_position"
cols = plpy.execute(query)
for col in cols:
dtype = col["data_type"]
dlength = col["character_maximum_length"]
dname = col["column_name"]
dvalue = str(j[dname])
if ( dvalue == "None" ) : dvalue = ""
if ( dtype == "character" ) : dvalue = dvalue.ljust(dlength)
str_out += dvalue
return str_out
$$
;
--
Adrian Klaver
adrian.klaver@xxxxxxxxxxx
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