code: def insert_many(self, rows, chunk_size=1000):
          
  
          def _process_chunk(chunk):
              self.table.insert().execute(chunk)
  
          self._check_dropped()
  
          chunk = []
          for i, row in enumerate(rows, start=1):
              chunk.append(row)
              if i % chunk_size == 0:
                  _process_chunk(chunk)
                  chunk = []
          if chunk:
              _process_chunk(chunk)
docs: Add many rows at a time, which is significantly faster than adding
          them one by one. Per default the rows are processed in chunks of
          1000 per commit, unless you specify a different ``chunk_size``.
          See :py:meth:`insert() <dataset.Table.insert>` for details on
          the other parameters.
          ::
              rows = [dict(name='Dolly')] * 10000
              table.insert_many(rows)