<class 'dlt.extract.exceptions.ResourceExtractionError'>
In processing pipe RISK_HEADERS: extraction of resource RISK_HEADERS in generator table_rows caused an exception: Conversion to arrow failed for field `RNWDATE` with dlt hint `data_type=timestamp` and `inferred_arrow_type=timestamp[ns]` This data type seems currently unsupported by dlt. Please open a GitHub issue

    def _table_adapter_callback(table: sa.Table) -> sa.Table:

        for column in table.columns.values():            
            if isinstance(column.type, sa.DateTime):
                sa.update(table).where(column >= "2050-01-01 00:00:00.000").values(column.name="2050-01-01 00:00:00.000")

        return table

pipeline = dlt.pipeline(
        pipeline_name="pipeline_dlt_test",
        destination="mssql",
        dataset_name="dlt_test"
    )

    source = sql_database(
        credentials=credentials,
        reflection_level="full_with_precision",
        chunk_size=50000,
        include_views=True,
        schema="dbo",
        backend="pyarrow",
        table_names=["..."]
            
    )

    # Run the resources together
    info = pipeline.extract(source, write_disposition="replace")
    print(info)