Import Data from PySpark to Table

Hi everyone,

We are working on Fabric Preview and today we are trying to import data from DataFrame in NoteBook (PySpark) into a Table in Lakehouse.

Here is the code we have used:

table_name = "dds_estimated"
spark_df.write.mode("overwrite").format("delta").option("mergeSchema", "true").save(f"Tables/{table_name}")
print(f"Done loading {table_name}")

Then we encountered a problem in the table format and were asked to use the following command to edit the table properties:

spark.sql(f'''
    ALTER TABLE dds_estimated SET TBLPROPERTIES (
       'delta.columnMapping.mode' = 'name',
       'delta.minReaderVersion' = '2',
       'delta.minWriterVersion' = '5'
    )
''')

Overall, we can run the notebook done but nothing import to our table, it's still blank and have a notice:
Table uses column mapping which is not supported.

What should we do to import DataFrame to Table in Lakehouse?