code: def to_bigquery_field(self, name_case=DdlParseBase.NAME_CASE.original):
          
  
          col_name = self.get_name(name_case)
          mode = self.bigquery_mode
  
          if self.array_dimensional <= 1:
              # no or one dimensional array data type
              type = self.bigquery_legacy_data_type
  
          else:
              # multiple dimensional array data type
              type = "RECORD"
  
              fields = OrderedDict()
              fields_cur = fields
  
              for i in range(1, self.array_dimensional):
                  is_last = True if i == self.array_dimensional - 1 else False
  
                  fields_cur['fields'] = [OrderedDict()]
                  fields_cur = fields_cur['fields'][0]
  
                  fields_cur['name'] = "dimension_{}".format(i)
                  fields_cur['type'] = self.bigquery_legacy_data_type if is_last else "RECORD"
                  fields_cur['mode'] = self.bigquery_mode if is_last else "REPEATED"
  
          col = OrderedDict()
          col['name'] = col_name
          col['type'] = type
          col['mode'] = mode
          if self.array_dimensional > 1:
              col['fields'] = fields['fields']
  
          return json.dumps(col)
docs: Generate BigQuery JSON field define