code: def to_sql(cls, qc, **kwargs):
          
          # we first insert an empty DF in order to create the full table in the database
          # This also helps to validate the input against pandas
          # we would like to_sql() to complete only when all rows have been inserted into the database
          # since the mapping operation is non-blocking, each partition will return an empty DF
          # so at the end, the blocking operation will be this empty DF to_pandas
  
          empty_df = qc.head(1).to_pandas().head(0)
          empty_df.to_sql(**kwargs)
          # so each partition will append its respective DF
          kwargs["if_exists"] = "append"
          columns = qc.columns
  
          def func(df, **kwargs):
              df.columns = columns
              df.to_sql(**kwargs)
              return pandas.DataFrame()
  
          map_func = qc._prepare_method(func, **kwargs)
          result = qc._map_across_full_axis(1, map_func)
          # blocking operation
          result.to_pandas()
docs: Write records stored in a DataFrame to a SQL database.
          Args:
              qc: the query compiler of the DF that we want to run to_sql on
              kwargs: parameters for pandas.to_sql(**kwargs)