External tables on parquet files - Invalid/missing columns

If the parquet column name does not match the name of the column in the external table, we get null values instead of a complaint/error that this is the invalid column name or missing column name.

Can’t the check for datatype be extended to also check for column names

spark.read.parquet("file_name").printSchema()
my_column string

create external table if not exists catalog.entity_test(
   my_column_2 string
)
STORED AS PARQUET
LOCATION '....';

select * from catalog.entity_test where entity_id = 'GVo8cDA0uq8MzqJYIAABm';

the second column returns null