PostgreSQL: row_to_json with selective columns [duplicate] - json

Question

This question already has answers here:
How to set correct attribute names to a json aggregated result with GROUP BY clause?
(6 answers)
Closed 6 years ago.
Task concept and my question
Using Postgres 9.4. How could I use row_to_json(row) with selective columns (not the entire row)? I need to discard one column from the row constructor while building JSON, but also need to preserve column names.
Restrictions
Do not use self join to the same table/cte with selective columns choice
Do not use external function to handle deleting key from json, afterwards
I'm well aware that I can write and use my own function to remove a key from JSON, or that in Postgres 9.5 there is - operator for JSONB. However, I would like to do this beforehand without additional function call and I'm pretty sure it's possible.
MVCE and explanation
Generating sample data
CREATE TABLE test_table ( id int, col1 int, col2 int, col3 text );
INSERT INTO test_table VALUES
(1, 23, 15, 'Jessica'), (2, 43, 84, 'Thomas');
1) First try, simple row_to_json(row), which is obviously not working:
SELECT id, row_to_json(t) FROM test_table t
I need to discard column id from the row constructor not to add it while parsing the row as json. Above returns:
id | row_to_json
----+-----------------------------------------------
1 | {"id":1,"col1":23,"col2":15,"col3":"Jessica"}
2 | {"id":2,"col1":43,"col2":84,"col3":"Thomas"}
2) Second try, with explicit passing of columns row_to_json(row(col1, ...)):
SELECT id, row_to_json(row(col1, col2, col3)) FROM test_table t
But I'm losing column names (as mentioned in docs it all converts to fX, where X is a number:
id | row_to_json
----+----------------------------------
1 | {"f1":23,"f2":15,"f3":"Jessica"}
2 | {"f1":43,"f2":84,"f3":"Thomas"}
Expected output
Expected output is obviously from the (1) point in MVCE but without id key-value pair:
id | row_to_json
----+-----------------------------------------------
1 | {"col1":23,"col2":15,"col3":"Jessica"}
2 | {"col1":43,"col2":84,"col3":"Thomas"}

Answer 1

It seems that creating a type with desired column names and matching data types and then casting the row to it will do the trick:
CREATE TYPE my_type AS (
col1 int,
col2 int,
col3 text
);
Then altering my statement by adding the cast of row to defined type:
SELECT id, row_to_json(cast(row(col1, col2, col3) as my_type)) FROM test_table t;
Brings out the expected output:
id | row_to_json
----+-----------------------------------------------
1 | {"col1":23,"col2":15,"col3":"Jessica"}
2 | {"col1":43,"col2":84,"col3":"Thomas"}
However, is there any method for this to be built without additional type?