Trigger:

Perform 'Full refresh all' on a DLT pipeline (new or existing). The existing DLT table already existed beforehand.

Issue:

Getting the error 'DeltaColumnMappingUnsupportedException' during "Setting up tables" stage.

```com.databricks.sql.transaction.tahoe.DeltaColumnMappingUnsupportedException:

Schema change is detected:

old schema:

root

new schema:

root

|-- Field 1: string (nullable = true)

|-- Field 2: string (nullable = true)

|-- Field 3: timestamp (nullable = true)

Schema changes are not allowed during the change of column mapping mode.

```

Setup:

The DLT pipeline is configured to run a python notebook that contains something like this:

```

@dlt.table(

  comment="Raw table",

  table_properties={

    "delta.minReaderVersion": "2",

    "delta.minWriterVersion": "5",

    "delta.columnMapping.mode": "name",

  },

)

def raw_table():

  return (spark.read.format(file_type) 

    .option("inferSchema", false) 

    .option("header", true) 

    .load(some_file_location))

```

Appreciate any insights to this issue. Thanks.