Select All Columns Except the Ones I Transformed? - dbt

Question

Apologies,
I am still a beginner at DBT. Is there a way to select all the columns that I didn't explicitly put in my select statement? Something like this:
{{ config(materialized='view') }}
with my_view as (
select
TO_DATE(SOME_DATE_FIELD, 'mm/dd/yyyy HH:mi:ss AM') AS SOME_DATE_FIELD,
{{ -- do something that gets the other columns from my_db.my_schema.my_table }}
from my_db.my_schema.my_table
),
final as (
select * from my_view
)
select * from final
Thanks!

Answer 1

If you use BigQuery or DuckDB, you can use * except (BQ) or * exclude (DuckDB). That would look like this:
...
with my_view as (
select
TO_DATE(SOME_DATE_FIELD, 'mm/dd/yyyy HH:mi:ss AM') AS SOME_DATE_FIELD,
* except (SOME_DATE_FIELD)
from my_db.my_schema.my_table
),
...
If you're on a different dialect, you can use the star macro in dbt_utils, which would look like this:
with my_view as (
select
TO_DATE(SOME_DATE_FIELD, 'mm/dd/yyyy HH:mi:ss AM') AS SOME_DATE_FIELD,
{{ dbt_utils.star(from=ref('my_model'), except=["SOME_DATE_FIELD"]) }}
from {{ ref('my_model') }}
),
...
Note:
to use dbt_utils.star() you first need to install dbt_utils as a package in your project. See the docs
in dbt you really shouldn't select from my_db.my_schema.my_table directly. That table should either be a model or a source, and you should use either the ref or source macro to select from it, so dbt can build a DAG:
from {{ ref("my_table") }}
or
from {{ source("my_source", "my_table") }}