def iter(self, offset=0, count=None, pagesize=None, **kwargs):
        """Iterates over the collection.

        This method is equivalent to the :meth:`list` method, but
        it returns an iterator and can load a certain number of entities at a
        time from the server.

        :param offset: The index of the first entity to return (optional).
        :type offset: ``integer``
        :param count: The maximum number of entities to return (optional).
        :type count: ``integer``
        :param pagesize: The number of entities to load (optional).
        :type pagesize: ``integer``
        :param kwargs: Additional arguments (optional):

            - "search" (``string``): The search query to filter responses.

            - "sort_dir" (``string``): The direction to sort returned items:
              "asc" or "desc".

            - "sort_key" (``string``): The field to use for sorting (optional).

            - "sort_mode" (``string``): The collating sequence for sorting
              returned items: "auto", "alpha", "alpha_case", or "num".

        :type kwargs: ``dict``

        **Example**::

            import splunklib.client as client
            s = client.connect(...)
            for saved_search in s.saved_searches.iter(pagesize=10):
                # Loads 10 saved searches at a time from the
                # server.
                ...
        """
        assert pagesize is None or pagesize > 0
        if count is None:
            count = self.null_count
        fetched = 0
        while count == self.null_count or fetched < count:
            response = self.get(count=pagesize or count, offset=offset, **kwargs)
            items = self._load_list(response)
            N = len(items)
            fetched += N
            for item in items:
                yield item
            if pagesize is None or N < pagesize:
                break
            offset += N
            logging.debug("pagesize=%d, fetched=%d, offset=%d, N=%d, kwargs=%s", pagesize, fetched, offset, N, kwargs)
def iter ( self , offset = 0 , count = None , pagesize = None , ** kwargs ) : assert pagesize is None or pagesize > 0 if count is None : count = self . null_count fetched = 0 while count == self . null_count or fetched < count : response = self . get ( count = pagesize or count , offset = offset , ** kwargs ) items = self . _load_list ( response ) N = len ( items ) fetched += N for item in items : yield item if pagesize is None or N < pagesize : break offset += N logging . debug ( "pagesize=%d, fetched=%d, offset=%d, N=%d, kwargs=%s" , pagesize , fetched , offset , N , kwargs )
Iterates over the collection.

        This method is equivalent to the :meth:`list` method, but
        it returns an iterator and can load a certain number of entities at a
        time from the server.

        :param offset: The index of the first entity to return (optional).
        :type offset: ``integer``
        :param count: The maximum number of entities to return (optional).
        :type count: ``integer``
        :param pagesize: The number of entities to load (optional).
        :type pagesize: ``integer``
        :param kwargs: Additional arguments (optional):

            - "search" (``string``): The search query to filter responses.

            - "sort_dir" (``string``): The direction to sort returned items:
              "asc" or "desc".

            - "sort_key" (``string``): The field to use for sorting (optional).

            - "sort_mode" (``string``): The collating sequence for sorting
              returned items: "auto", "alpha", "alpha_case", or "num".

        :type kwargs: ``dict``

        **Example**::

            import splunklib.client as client
            s = client.connect(...)
            for saved_search in s.saved_searches.iter(pagesize=10):
                # Loads 10 saved searches at a time from the
                # server.
                ...