code: def update_records(self, qs, batch_size=1000, **kwargs):
          
          tmp = {}
          for key, value in kwargs.items():
              name = self.__translate_fields.get(key, None)
              if name:
                  tmp[name] = value
  
          batch = []
          objectsIDs = qs.only(self.custom_objectID).values_list(
              self.custom_objectID, flat=True)
          for elt in objectsIDs:
              tmp['objectID'] = elt
              batch.append(dict(tmp))
  
              if len(batch) >= batch_size:
                  self.__index.partial_update_objects(batch)
                  batch = []
  
          if len(batch) > 0:
              self.__index.partial_update_objects(batch)
docs: Updates multiple records.
  
          This method is optimized for speed. It takes a QuerySet and the same
          arguments as QuerySet.update(). Optionnaly, you can specify the size
          of the batch send to Algolia with batch_size (default to 1000).
  
          >>> from algoliasearch_django import update_records
          >>> qs = MyModel.objects.filter(myField=False)
          >>> update_records(MyModel, qs, myField=True)
          >>> qs.update(myField=True)