Hi, @Vincent Doe​ ,

Updates are available in Delta tables, but under the hood you are updating parquet files, it means that each update needs to find the file where records are stored, then re-write the file to new version, and make new file current version.

In your case maybe you should try something like this:

    spark.sql("""
select 
col1,
col2,
col3,
case 
when id = '123' then '2022-02-16'
when id = '124' then '2022-02-17'
end as create_date
...
 from example_view
""") \
        .write \
        .mode('overwrite') \
        .saveAsTable('example_table')