Error on importing foreign schema when columns has white spaces

Hello,

I'm getting an error when I import a foreign schema when there parquet files with whitespaces in their column names.

Example:

>>> import pandas as pd;
>>> df = pd.DataFrame(data={'col 1': [1, 2], 'col 2': [3, 4]})
>>> df
   col 1  col 2
0      1      3
1      2      4
>>> df.to_parquet("df.parquet")

create database db1;
postgres=# \c db1

db1=# create extension parquet_fdw;
CREATE EXTENSION

db1=# \dx
                     List of installed extensions
    Name     | Version |   Schema   |           Description
-------------+---------+------------+----------------------------------
 parquet_fdw | 0.2     | public     | foreign-data wrapper for parquet
 plpgsql     | 1.0     | pg_catalog | PL/pgSQL procedural language
(2 rows)

db1=# create server parquet_srv foreign data wrapper parquet_fdw;
CREATE SERVER

db1=# import foreign schema "/path/df" from server parquet_srv into public;
ERROR:  syntax error at or near "1"
LINE 1: CREATE FOREIGN TABLE public.df (col 1 bigint, col 2 bigint) ...
                                            ^
QUERY:  CREATE FOREIGN TABLE public.df (col 1 bigint, col 2 bigint) SERVER parquet_srv OPTIONS (filename '/path/df/df.parquet')

When I create foreign table individualy, it work okey:

db1=# create foreign table df_ft ("col 2" int) server parquet_srv options (filename '/path/df/df.parquet');
CREATE FOREIGN TABLE
db1=# select * from df_ft;
 col 2
-------
     3
     4
(2 rows)

Thanks

adjust / parquet_fdw

Error on importing foreign schema when columns has white spaces #61