set reduce_stop_for_best for iterator by default(#1830) (#1831)

Signed-off-by: MrPresent-Han <[email protected]>

pymilvus/client/prepare.py

@@ -664,7 +664,6 @@ def search_requestV2_with_ranker(
         round_decimal: int = -1,
         **kwargs,
     ) -> milvus_types.SearchRequestV2:
-
         use_default_consistency = ts_utils.construct_guarantee_ts(collection_name, kwargs)
         rerank_param["limit"] = limit
         rerank_param["round_decimal"] = round_decimal

pymilvus/orm/constants.py

@@ -37,7 +37,7 @@
 FIELDS = "fields"
 EF = "ef"
 IS_PRIMARY = "is_primary"
-STOP_REDUCE_FOR_BEST = "stop_reduce_for_best"
+REDUCE_STOP_FOR_BEST = "reduce_stop_for_best"
 DEFAULT_MAX_L2_DISTANCE = 99999999.0
 DEFAULT_MIN_IP_DISTANCE = -99999999.0
 DEFAULT_MAX_HAMMING_DISTANCE = 99999999.0

pymilvus/orm/iterator.py

@@ -31,6 +31,7 @@
     PARAMS,
     RADIUS,
     RANGE_FILTER,
+    REDUCE_STOP_FOR_BEST,
     UNLIMITED,
 )
 from .schema import CollectionSchema
@@ -77,12 +78,16 @@ def __init__(
         self._kwargs = kwargs
         self.__check_set_batch_size(batch_size)
         self._limit = limit
+        self.__check_set_reduce_stop_for_best()
         self._returned_count = 0
         self.__setup__pk_prop()
         self.__set_up_expr(expr)
         self.__seek()
         self._cache_id_in_use = NO_CACHE_ID
 
+    def __check_set_reduce_stop_for_best(self):
+        self._kwargs[REDUCE_STOP_FOR_BEST] = "True"
+
     def __check_set_batch_size(self, batch_size: int):
         if batch_size < 0:
             raise ParamError(message="batch size cannot be less than zero")