Feature request: Allow to set value as null when not present in schema evolution

[Dhruv-22]

I want to raise a feature request as follows.

Currently, in the Automatic schema evolution for merge when a column is not present in the source dataset it is not changed in the target dataset. For e.g.

%sql
CREATE OR REPLACE TABLE edw_nprd_aen.bronze.test_table (
  id INT
  , assignments ARRAY<STRING>
);

INSERT INTO edw_nprd_aen.bronze.test_table
VALUES 
  ( 1, ARRAY('S1-1', 'S1-2') )
  , (2, NULL)
  , (3, ARRAY('S3-1'))
  , (4, ARRAY('S4-1'));

SELECT *
FROM edw_nprd_aen.bronze.test_table;

%sql
CREATE OR REPLACE TEMPORARY VIEW test_view (id) AS VALUES (1), (3);

SELECT *
FROM test_view

%sql
MERGE WITH SCHEMA EVOLUTION INTO edw_nprd_aen.bronze.test_table
USING test_view
ON test_table.id = test_view.id
WHEN MATCHED THEN UPDATE SET *
WHEN NOT MATCHED THEN INSERT *;

SELECT *
FROM edw_nprd_aen.bronze.test_table
ORDER BY id

---

What I want is that if the row matches and the column is not present then set it to null. Like the following

Currently, I'm achieving this as follows

table_cols = spark.table('edw_nprd_aen.bronze.test_table').columns
view_cols = spark.table('test_view').columns

merge_string = f"""
MERGE WITH SCHEMA EVOLUTION INTO edw_nprd_aen.bronze.test_table
USING test_view
ON test_table.id = test_view.id
WHEN MATCHED THEN UPDATE SET
{'\n, '.join([f"{col} = test_view.{col}" if col in view_cols else f"{col} = NULL" for col in table_cols])}
WHEN NOT MATCHED THEN INSERT *
"""

print(merge_string)
spark.sql(merge_string)

It will be great if there could be some in-built option for the same, like

UPDATE SET * NULL IF NOT PRESENT