test: Refactor pymilvus client v2 testbase and add a test for search hint (#38939)

issue: https://github.com/milvus-io/milvus/issues/38877
1. refactor pymilvus client v2 testcasebase
2. add a test for search hint
3. update pymilvus to 2.6

---------

Signed-off-by: yanliang567 <yanliang.qiao@zilliz.com>

tests/python_client/base/client_base.py

@@ -12,7 +12,6 @@ from base.partition_wrapper import ApiPartitionWrapper
 from base.index_wrapper import ApiIndexWrapper
 from base.utility_wrapper import ApiUtilityWrapper
 from base.schema_wrapper import ApiCollectionSchemaWrapper, ApiFieldSchemaWrapper
-from base.high_level_api_wrapper import HighLevelApiWrapper
 from base.async_milvus_client_wrapper import AsyncMilvusClientWrapper
 from utils.util_log import test_log as log
 from common import common_func as cf
@@ -33,9 +32,8 @@ class Base:
     collection_schema_wrap = None
     field_schema_wrap = None
     database_wrap = None
-    collection_object_list = []
+    tear_down_collection_names = []
     resource_group_list = []
-    high_level_api_wrap = None
     async_milvus_client_wrap = None
     skip_connection = False
 
@@ -60,7 +58,6 @@ class Base:
         self.collection_schema_wrap = ApiCollectionSchemaWrapper()
         self.field_schema_wrap = ApiFieldSchemaWrapper()
         self.database_wrap = ApiDatabaseWrapper()
-        self.high_level_api_wrap = HighLevelApiWrapper()
         self.async_milvus_client_wrap = AsyncMilvusClientWrapper()
 
     def teardown_method(self, method):
@@ -83,9 +80,9 @@ class Base:
                     self.collection_wrap.drop(check_task=ct.CheckTasks.check_nothing)
 
             collection_list = self.utility_wrap.list_collections()[0]
-            for collection_object in self.collection_object_list:
+            for collection_name in self.tear_down_collection_names:
-                if collection_object.collection is not None and collection_object.name in collection_list:
+                if collection_name is not None and collection_name in collection_list:
-                    collection_object.drop(check_task=ct.CheckTasks.check_nothing)
+                    self.collection_wrap.init_collection(name=collection_name)[0].drop()
 
             """ Clean up the rgs before disconnect """
             rgs_list = self.utility_wrap.list_resource_groups()[0]
@@ -169,15 +166,15 @@ class TestcaseBase(Base):
         log.info(f"server version: {server_version}")
         return res
 
-    def init_async_milvus_client(self):
+    # def init_async_milvus_client(self):
-        uri = cf.param_info.param_uri or f"http://{cf.param_info.param_host}:{cf.param_info.param_port}"
+    #     uri = cf.param_info.param_uri or f"http://{cf.param_info.param_host}:{cf.param_info.param_port}"
-        kwargs = {
+    #     kwargs = {
-            "uri": uri,
+    #         "uri": uri,
-            "user": cf.param_info.param_user,
+    #         "user": cf.param_info.param_user,
-            "password": cf.param_info.param_password,
+    #         "password": cf.param_info.param_password,
-            "token": cf.param_info.param_token,
+    #         "token": cf.param_info.param_token,
-        }
+    #     }
-        self.async_milvus_client_wrap.init_async_client(**kwargs)
+    #     self.async_milvus_client_wrap.init_async_client(**kwargs)
 
     def init_collection_wrap(self, name=None, schema=None, check_task=None, check_items=None,
                              enable_dynamic_field=False, with_json=True, **kwargs):
@@ -189,7 +186,7 @@ class TestcaseBase(Base):
         collection_w = ApiCollectionWrapper()
         collection_w.init_collection(name=name, schema=schema, check_task=check_task,
                                      check_items=check_items, **kwargs)
-        self.collection_object_list.append(collection_w)
+        self.tear_down_collection_names.append(name)
         return collection_w
 
     def init_multi_fields_collection_wrap(self, name=cf.gen_unique_str()):

tests/python_client/base/client_v2_base.py

@@ -0,0 +1,867 @@
+import sys
+from typing import Optional
+from pymilvus import MilvusClient
+
+sys.path.append("..")
+from check.func_check import ResponseChecker
+from utils.api_request import api_request
+from utils.wrapper import trace
+from utils.util_log import test_log as log
+from common import common_func as cf
+from base.client_base import Base
+
+TIMEOUT = 120
+INDEX_NAME = ""
+
+
+class TestMilvusClientV2Base(Base):
+
+    # milvus_client = None
+    active_trace = False
+
+    def init_async_milvus_client(self):
+        uri = cf.param_info.param_uri or f"http://{cf.param_info.param_host}:{cf.param_info.param_port}"
+        kwargs = {
+            "uri": uri,
+            "user": cf.param_info.param_user,
+            "password": cf.param_info.param_password,
+            "token": cf.param_info.param_token,
+        }
+        self.async_milvus_client_wrap.init_async_client(**kwargs)
+
+    def _client(self, active_trace=False):
+        """ return MilvusClient instance if connected successfully, otherwise return None"""
+        if self.skip_connection:
+            return None
+        if cf.param_info.param_uri:
+            uri = cf.param_info.param_uri
+        else:
+            uri = "http://" + cf.param_info.param_host + ":" + str(cf.param_info.param_port)
+        res, is_succ = self.init_milvus_client(uri=uri, token=cf.param_info.param_token, active_trace=active_trace)
+        if is_succ:
+            # self.milvus_client = res
+            log.info(f"server version: {res.get_server_version()}")
+        return res
+
+    def init_milvus_client(self, uri, user="", password="", db_name="", token="", timeout=None,
+                           check_task=None, check_items=None, active_trace=False, **kwargs):
+        self.active_trace = active_trace
+        func_name = sys._getframe().f_code.co_name
+        res, is_succ = api_request([MilvusClient, uri, user, password, db_name, token, timeout], **kwargs)
+        # self.milvus_client = res if is_succ else None
+        check_result = ResponseChecker(res, func_name, check_task, check_items, is_succ,
+                                       uri=uri, user=user, password=password, db_name=db_name, token=token,
+                                       timeout=timeout, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def close(self, client, check_task=None, check_items=None):
+        func_name = sys._getframe().f_code.co_name
+        res, is_succ = api_request([client.close])
+        check_result = ResponseChecker(res, func_name, check_task, check_items, is_succ).run()
+        return res, check_result
+
+    @trace()
+    def create_schema(self, client, timeout=None, check_task=None,
+                      check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_schema], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def create_collection(self, client, collection_name, dimension=None, primary_field_name='id',
+                          id_type='int', vector_field_name='vector', metric_type='COSINE',
+                          auto_id=False, schema=None, index_params=None, timeout=None, check_task=None,
+                          check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        consistency_level = kwargs.get("consistency_level", "Strong")
+        kwargs.update({"consistency_level": consistency_level})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_collection, collection_name, dimension, primary_field_name,
+                                  id_type, vector_field_name, metric_type, auto_id, timeout, schema,
+                                  index_params], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name, dimension=dimension,
+                                       **kwargs).run()
+
+        self.tear_down_collection_names.append(collection_name)
+        return res, check_result
+
+    def has_collection(self, client, collection_name, timeout=None, check_task=None,
+                       check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.has_collection, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def insert(self, client, collection_name, data, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.insert, collection_name, data], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def upsert(self, client, collection_name, data, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.upsert, collection_name, data], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name, data=data,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def get_collection_stats(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.get_collection_stats, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def search(self, client, collection_name, data, limit=10, filter=None, output_fields=None, search_params=None,
+               timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.search, collection_name, data, filter, limit,
+                                  output_fields, search_params], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name, data=data, limit=limit, filter=filter,
+                                       output_fields=output_fields, search_params=search_params,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def query(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.query, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def get(self, client, collection_name, ids, output_fields=None,
+            timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.get, collection_name, ids, output_fields], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name, ids=ids,
+                                       output_fields=output_fields,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def num_entities(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.num_entities, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def delete(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.delete, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def flush(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.flush, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def describe_collection(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.describe_collection, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def list_collections(self, client, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_collections], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_collection(self, client, collection_name, check_task=None, check_items=None, **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_collection, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def list_partitions(self, client, collection_name, check_task=None, check_items=None, **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_partitions, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def list_indexes(self, client, collection_name, field_name=None, check_task=None, check_items=None, **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_indexes, collection_name, field_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def get_load_state(self, client, collection_name, check_task=None, check_items=None, **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.get_load_state, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def prepare_index_params(self, client, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.prepare_index_params], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def load_collection(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.load_collection, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def release_collection(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.release_collection, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def load_partitions(self, client, collection_name, partition_names, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.load_partitions, collection_name, partition_names], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       partition_names=partition_names,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def release_partitions(self, client, collection_name, partition_names, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.release_partitions, collection_name, partition_names], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       partition_names=partition_names,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def rename_collection(self, client, old_name, new_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.rename_collection, old_name, new_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       old_name=old_name,
+                                       new_name=new_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def create_database(self, client, db_name, properties: Optional[dict] = None, check_task=None, check_items=None, **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_database, db_name, properties], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       db_name=db_name, properties=properties,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def create_partition(self, client, collection_name, partition_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_partition, collection_name, partition_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       partition_name=partition_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def list_partitions(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_partitions, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_partition(self, client, collection_name, partition_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_partition, collection_name, partition_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       partition_name=partition_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def has_partition(self, client, collection_name, partition_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.has_partition, collection_name, partition_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       partition_name=partition_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def get_partition_stats(self, client, collection_name, partition_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.get_partition_stats, collection_name, partition_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       partition_name=partition_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def prepare_index_params(self, client, check_task=None, check_items=None, **kwargs):
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.prepare_index_params], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def create_index(self, client, collection_name, index_params, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_index, collection_name, index_params], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       index_params=index_params,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_index(self, client, collection_name, index_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_index, collection_name, index_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       index_name=index_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def describe_index(self, client, collection_name, index_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.describe_index, collection_name, index_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       index_name=index_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def list_indexes(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_indexes, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def create_alias(self, client, collection_name, alias, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_alias, collection_name, alias], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       alias=alias,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_alias(self, client, alias, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_alias, alias], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       alias=alias,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def alter_alias(self, client, collection_name, alias, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.alter_alias, collection_name, alias], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       collection_name=collection_name,
+                                       alias=alias,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def describe_alias(self, client, alias, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.describe_alias, alias], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check,
+                                       alias=alias,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def list_aliases(self, client, collection_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_aliases, collection_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, collection_name=collection_name,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def using_database(self, client, db_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.using_database, db_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    def create_user(self, client, user_name, password, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_user, user_name, password], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, user_name=user_name,
+                                       password=password, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_user(self, client, user_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_user, user_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, user_name=user_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def update_password(self, client, user_name, old_password, new_password, reset_connection=False,
+                        timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.update_password, user_name, old_password, new_password,
+                                  reset_connection], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, user_name=user_name, old_password=old_password,
+                                       new_password=new_password, reset_connection=reset_connection,
+                                       **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def list_users(self, client, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_users], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def describe_user(self, client, user_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.describe_user, user_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, user_name=user_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def create_role(self, client, role_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_role, role_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, role_name=role_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_role(self, client, role_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_role, role_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, role_name=role_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def describe_role(self, client, role_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.describe_role, role_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, role_name=role_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def list_roles(self, client, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_roles], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task,
+                                       check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def grant_role(self, client, user_name, role_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.grant_role, user_name, role_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       user_name=user_name, role_name=role_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def revoke_role(self, client, user_name, role_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.revoke_role, user_name, role_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       user_name=user_name, role_name=role_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def grant_privilege(self, client, role_name, object_type, privilege, object_name, db_name="",
+                        timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.grant_privilege, role_name, object_type, privilege,
+                                  object_name, db_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       role_name=role_name, object_type=object_type, privilege=privilege,
+                                       object_name=object_name, db_name=db_name, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def revoke_privilege(self, client, role_name, object_type, privilege, object_name, db_name="",
+                         timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.revoke_privilege, role_name, object_type, privilege,
+                                  object_name, db_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check,
+                                       role_name=role_name, object_type=object_type, privilege=privilege,
+                                       object_name=object_name, db_name=db_name, **kwargs).run()
+        return res, check_result
+
+    def create_privilege_group(self, client, privilege_group: str, check_task=None, check_items=None, **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_privilege_group, privilege_group], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    def drop_privilege_group(self, client, privilege_group: str, check_task=None, check_items=None, **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_privilege_group, privilege_group], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    def list_privilege_groups(self, client, check_task=None, check_items=None, **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_privilege_groups], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    def add_privileges_to_group(self, client, privilege_group: str, privileges: list, check_task=None, check_items=None,
+                                **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.add_privileges_to_group, privilege_group, privileges], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    def remove_privileges_from_group(self, client, privilege_group: str, privileges: list, check_task=None, check_items=None,
+                                     **kwargs):
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.remove_privileges_from_group, privilege_group, privileges],
+                                 **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def alter_index_properties(self, client, collection_name, index_name, properties, timeout=None,
+                               check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.alter_index_properties, collection_name, index_name, properties],
+                                 **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_index_properties(self, client, collection_name, index_name, property_keys, timeout=None,
+                               check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_index_properties, collection_name, index_name, property_keys],
+                                 **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def alter_collection_properties(self, client, collection_name, properties, timeout=None,
+                               check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.alter_collection_properties, collection_name, properties],
+                                 **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_collection_properties(self, client, collection_name, property_keys, timeout=None,
+                                    check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_collection_properties, collection_name, property_keys, timeout],
+                                 **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def alter_collection_field(self, client, collection_name, field_name, field_params, timeout=None,
+                                    check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.alter_collection_field, collection_name, field_name, field_params, timeout],
+                                 **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def alter_database_properties(self, client, db_name, properties, timeout=None,
+                               check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.alter_database_properties, db_name, properties], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_database_properties(self, client, db_name, property_keys, timeout=None,
+                                  check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_database_properties, db_name, property_keys], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def create_database(self, client, db_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.create_database, db_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def describe_database(self, client, db_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.describe_database, db_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def drop_database(self, client, db_name, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.drop_database, db_name], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+    @trace()
+    def list_databases(self, client, timeout=None, check_task=None, check_items=None, **kwargs):
+        timeout = TIMEOUT if timeout is None else timeout
+        kwargs.update({"timeout": timeout})
+
+        func_name = sys._getframe().f_code.co_name
+        res, check = api_request([client.list_databases], **kwargs)
+        check_result = ResponseChecker(res, func_name, check_task, check_items, check, **kwargs).run()
+        return res, check_result
+
+

tests/python_client/check/func_check.py

@@ -657,7 +657,7 @@ class ResponseChecker:
     def check_auth_failure(res, actual=True):
         assert actual is False
         if isinstance(res, Error):
-            assert "auth" in res.message
+            assert "auth check failure" in res.message
         else:
             log.error("[CheckFunc] Response of API is not an error: %s" % str(res))
             assert False

tests/python_client/milvus_client/test_milvus_client_alias.py

@@ -1,27 +1,14 @@
-import multiprocessing
-import numbers
-import random
-import numpy
-import threading
 import pytest
-import pandas as pd
-import decimal
-from decimal import Decimal, getcontext
-from time import sleep
-import heapq
 
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
+
 from utils.util_log import test_log as log
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
 from utils.util_pymilvus import *
-from common.constants import *
-from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
 
-prefix = "milvus_client_api_alias"
+prefix = "client_alias"
 epsilon = ct.epsilon
 default_nb = ct.default_nb
 default_nb_medium = ct.default_nb_medium
@@ -46,7 +33,7 @@ default_int32_array_field_name = ct.default_int32_array_field_name
 default_string_array_field_name = ct.default_string_array_field_name
 
 
-class TestMilvusClientAliasInvalid(TestcaseBase):
+class TestMilvusClientAliasInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -72,12 +59,12 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         alias = cf.gen_unique_str("collection_alias")
         # 2. create alias
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
                                                 f"collection name must be an underscore or letter: invalid parameter"}
-        client_w.create_alias(client, collection_name, alias,
+        self.create_alias(client, collection_name, alias,
                           check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -88,12 +75,12 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         alias = cf.gen_unique_str("collection_alias")
         collection_name = "a".join("a" for i in range(256))
         # 2. create alias
         error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection name must be less than 255 characters"}
-        client_w.create_alias(client, collection_name, alias,
+        self.create_alias(client, collection_name, alias,
                           check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -104,11 +91,11 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         alias = cf.gen_unique_str("collection_alias")
         collection_name = "not_exist_collection_alias"
         error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default][collection={collection_name}]"}
-        client_w.create_alias(client, collection_name, alias,
+        self.create_alias(client, collection_name, alias,
                           check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -120,17 +107,17 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create alias
         error = {ct.err_code: 1100,
                  ct.err_msg: f"Invalid collection alias: {alias}. "
                              f"the first character of a collection alias must be an underscore or letter"}
-        client_w.create_alias(client, collection_name, alias,
+        self.create_alias(client, collection_name, alias,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_create_alias_name_over_max_length(self):
@@ -140,16 +127,16 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         alias = "a".join("a" for i in range(256))
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create alias
         error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection alias must be less than 255 characters"}
-        client_w.create_alias(client, collection_name, alias,
+        self.create_alias(client, collection_name, alias,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_create_alias_same_collection_name(self):
@@ -159,16 +146,16 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create alias
         error = {ct.err_code: 1601, ct.err_msg: f"alias and collection name conflict[database=default]"
                                                 f"[alias={collection_name}]"}
-        client_w.create_alias(client, collection_name, collection_name,
+        self.create_alias(client, collection_name, collection_name,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_create_same_alias_diff_collections(self):
@@ -178,21 +165,21 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         collection_name_1 = cf.gen_unique_str(prefix)
         alias = cf.gen_unique_str("collection_alias")
         # 1. create collection and alias
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.create_alias(client, collection_name, alias)
+        self.create_alias(client, collection_name, alias)
         # 2. create another collection and same alias
-        client_w.create_collection(client, collection_name_1, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name_1, default_dim, consistency_level="Strong")
         error = {ct.err_code: 1602, ct.err_msg: f"{alias} is alias to another collection: "
                                                 f"{collection_name}: alias already exist[database=default]"
                                                 f"[alias={alias}]"}
-        client_w.create_alias(client, collection_name_1, alias,
+        self.create_alias(client, collection_name_1, alias,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_drop_alias_not_existed(self):
@@ -202,9 +189,9 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         alias = cf.gen_unique_str("not_existed_alias")
-        client_w.drop_alias(client, alias)
+        self.drop_alias(client, alias)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.parametrize("alias_name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
@@ -215,10 +202,10 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection alias: {alias_name}. the first character of a "
                                                 f"collection alias must be an underscore or letter"}
-        client_w.drop_alias(client, alias_name,
+        self.drop_alias(client, alias_name,
                         check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -229,10 +216,10 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         alias = "a".join("a" for i in range(256))
         error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection alias must be less than 255 characters"}
-        client_w.drop_alias(client, alias,
+        self.drop_alias(client, alias,
                         check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -244,11 +231,11 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         alias = cf.gen_unique_str("collection_alias")
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
                                                 f"collection name must be an underscore or letter: invalid parameter"}
-        client_w.alter_alias(client, collection_name, alias,
+        self.alter_alias(client, collection_name, alias,
                          check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -259,12 +246,12 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         alias = cf.gen_unique_str("collection_alias")
         collection_name = "a".join("a" for i in range(256))
         # 2. create alias
         error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection name must be less than 255 characters"}
-        client_w.alter_alias(client, collection_name, alias,
+        self.alter_alias(client, collection_name, alias,
                          check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -275,14 +262,14 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         alias = cf.gen_unique_str("collection_alias")
         collection_name = cf.gen_unique_str("not_exist_collection_alias")
         # 2. create alias
         error = {ct.err_code: 100, ct.err_msg: f"collection not found[collection={collection_name}]"}
-        client_w.alter_alias(client, collection_name, alias,
+        self.alter_alias(client, collection_name, alias,
                          check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.parametrize("alias", ["12-s", "12 s", "(mn)", "中文", "%$#"])
@@ -293,16 +280,16 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create alias
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection alias: {alias}. the first character of a "
                                                 f"collection alias must be an underscore or letter"}
-        client_w.alter_alias(client, collection_name, alias,
+        self.alter_alias(client, collection_name, alias,
                          check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_alter_alias_name_over_max_length(self):
@@ -312,16 +299,16 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         alias = "a".join("a" for i in range(256))
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create alias
         error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection alias must be less than 255 characters"}
-        client_w.alter_alias(client, collection_name, alias,
+        self.alter_alias(client, collection_name, alias,
                          check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_alter_alias_same_collection_name(self):
@@ -331,16 +318,16 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create alias
         error = {ct.err_code: 1601, ct.err_msg: f"alias and collection name conflict[database=default]"
                                                 f"[alias={collection_name}"}
-        client_w.alter_alias(client, collection_name, collection_name,
+        self.alter_alias(client, collection_name, collection_name,
                          check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_alter_non_exists_alias(self):
@@ -350,22 +337,22 @@ class TestMilvusClientAliasInvalid(TestcaseBase):
                 is equal to alias according to partitions
         expected: alter alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str("coll")
         alias = cf.gen_unique_str("alias")
         another_alias = cf.gen_unique_str("another_alias")
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create alias
-        client_w.create_alias(client, collection_name, alias)
+        self.create_alias(client, collection_name, alias)
         # 3. alter alias
         error = {ct.err_code: 1600, ct.err_msg: f"alias not found[database=default][alias={another_alias}]"}
-        client_w.alter_alias(client, collection_name, another_alias,
+        self.alter_alias(client, collection_name, another_alias,
                          check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
 
-class TestMilvusClientAliasValid(TestcaseBase):
+class TestMilvusClientAliasValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -389,42 +376,42 @@ class TestMilvusClientAliasValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         alias = "collection_alias"
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create alias
-        client_w.drop_alias(client, alias)
+        self.drop_alias(client, alias)
-        client_w.create_alias(client, collection_name, alias)
+        self.create_alias(client, collection_name, alias)
         collection_name = alias
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
-        # client_w.flush(client, collection_name)
+        # self.flush(client, collection_name)
-        # assert client_w.num_entities(client, collection_name)[0] == default_nb
+        # assert self.num_entities(client, collection_name)[0] == default_nb
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 4. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_collection(client, collection_name, check_task=CheckTasks.err_res,
+        self.drop_collection(client, collection_name, check_task=CheckTasks.err_res,
                              check_items={ct.err_code: 65535,
                                           ct.err_msg: "cannot drop the collection via alias = collection_alias"})
-        client_w.drop_alias(client, alias)
+        self.drop_alias(client, alias)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.xfail(reason="pymilvus issue 1891, 1892")
@@ -435,28 +422,28 @@ class TestMilvusClientAliasValid(TestcaseBase):
                 is equal to alias according to partitions
         expected: create alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str("partition")
         alias = cf.gen_unique_str("collection_alias")
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        partition_name_list = client_w.list_partitions(client, collection_name)[0]
+        partition_name_list = self.list_partitions(client, collection_name)[0]
         # 2. create alias
-        client_w.create_alias(client, collection_name, alias)
+        self.create_alias(client, collection_name, alias)
-        client_w.describe_alias(client, alias)
+        self.describe_alias(client, alias)
         # 3. list alias
-        aliases = client_w.list_aliases(client)[0]
+        aliases = self.list_aliases(client)[0]
         # assert alias in aliases
         # 4. assert collection is equal to alias according to partitions
-        partition_name_list_alias = client_w.list_partitions(client, alias)[0]
+        partition_name_list_alias = self.list_partitions(client, alias)[0]
         assert partition_name_list == partition_name_list_alias
         # 5. drop alias
-        client_w.drop_alias(client, alias)
+        self.drop_alias(client, alias)
-        aliases = client_w.list_aliases(client)[0]
+        aliases = self.list_aliases(client)[0]
         # assert alias not in aliases
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_alter_alias_default(self):
@@ -466,28 +453,28 @@ class TestMilvusClientAliasValid(TestcaseBase):
                 is equal to alias according to partitions
         expected: alter alias successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         another_collectinon_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str("partition")
         alias = cf.gen_unique_str("collection_alias")
         another_alias = cf.gen_unique_str("collection_alias_another")
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        partition_name_list = client_w.list_partitions(client, collection_name)[0]
+        partition_name_list = self.list_partitions(client, collection_name)[0]
-        client_w.create_collection(client, another_collectinon_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, another_collectinon_name, default_dim, consistency_level="Strong")
-        client_w.create_alias(client, another_collectinon_name, another_alias)
+        self.create_alias(client, another_collectinon_name, another_alias)
         # 2. create alias
-        client_w.create_alias(client, collection_name, alias)
+        self.create_alias(client, collection_name, alias)
         # 3. alter alias
-        client_w.alter_alias(client, collection_name, another_alias)
+        self.alter_alias(client, collection_name, another_alias)
-        client_w.describe_alias(client, alias)
+        self.describe_alias(client, alias)
         # 3. list alias
-        aliases = client_w.list_aliases(client, collection_name)[0]
+        aliases = self.list_aliases(client, collection_name)[0]
         # assert alias in aliases
         # assert another_alias in aliases
         # 4. assert collection is equal to alias according to partitions
-        partition_name_list_alias = client_w.list_partitions(client, another_alias)[0]
+        partition_name_list_alias = self.list_partitions(client, another_alias)[0]
         assert partition_name_list == partition_name_list_alias
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)

tests/python_client/milvus_client/test_milvus_client_alter.py

@@ -1,53 +1,18 @@
-import multiprocessing
-import numbers
-import random
-import numpy
-import threading
 import pytest
-import pandas as pd
+import numbers
-import decimal
+from base.client_v2_base import TestMilvusClientV2Base
-from decimal import Decimal, getcontext
-from time import sleep
-import heapq
-
-from base.client_base import TestcaseBase
 from utils.util_log import test_log as log
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
-from utils.util_pymilvus import *
+from utils.util_pymilvus import DataType
-from common.constants import *
+import numpy as np
-from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
 
-prefix = "milvus_client_api_index"
+prefix = "alter"
-epsilon = ct.epsilon
-default_nb = ct.default_nb
-default_nb_medium = ct.default_nb_medium
-default_nq = ct.default_nq
-default_dim = ct.default_dim
-default_limit = ct.default_limit
-default_search_exp = "id >= 0"
-exp_res = "exp_res"
-default_search_string_exp = "varchar >= \"0\""
-default_search_mix_exp = "int64 >= 0 && varchar >= \"0\""
-default_invaild_string_exp = "varchar >= 0"
-default_json_search_exp = "json_field[\"number\"] >= 0"
-perfix_expr = 'varchar like "0%"'
-default_search_field = ct.default_float_vec_field_name
-default_search_params = ct.default_search_params
-default_primary_key_field_name = "id"
 default_vector_field_name = "vector"
-default_multiple_vector_field_name = "vector_new"
-default_float_field_name = ct.default_float_field_name
-default_bool_field_name = ct.default_bool_field_name
-default_string_field_name = ct.default_string_field_name
-default_int32_array_field_name = ct.default_int32_array_field_name
-default_string_array_field_name = ct.default_string_array_field_name
 
 
-class TestMilvusClientAlterIndex(TestcaseBase):
+class TestMilvusClientAlterIndex(TestMilvusClientV2Base):
 
     @pytest.mark.tags(CaseLabel.L0)
     def test_milvus_client_alter_index_default(self):
@@ -63,27 +28,28 @@ class TestMilvusClientAlterIndex(TestcaseBase):
                 verify drop successfully
         expected: alter successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, ct.default_dim, consistency_level="Strong")
-        idx_names, _ = client_w.list_indexes(client, collection_name, field_name=default_vector_field_name)
+        idx_names, _ = self.list_indexes(client, collection_name, field_name=default_vector_field_name)
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
-        res1 = client_w.describe_index(client, collection_name, index_name=idx_names[0])[0]
+        res1 = self.describe_index(client, collection_name, index_name=idx_names[0])[0]
         assert res1.get('mmap.enabled', None) is None
         error = {ct.err_code: 104,
-                 ct.err_msg: f"can't alter index on loaded collection, please release the collection first: collection already loaded[collection={collection_name}]"}
+                 ct.err_msg: f"can't alter index on loaded collection, "
+                             f"please release the collection first: collection already loaded[collection={collection_name}]"}
         # 1. alter index after load
-        client_w.alter_index_properties(client, collection_name, idx_names[0], properties={"mmap.enabled": True},
+        self.alter_index_properties(client, collection_name, idx_names[0], properties={"mmap.enabled": True},
                                     check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_index_properties(client, collection_name, idx_names[0], property_keys=["mmap.enabled"],
+        self.drop_index_properties(client, collection_name, idx_names[0], property_keys=["mmap.enabled"],
                                    check_task=CheckTasks.err_res, check_items=error)
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
         # 2. alter index after release
-        client_w.alter_index_properties(client, collection_name, idx_names[0], properties={"mmap.enabled": True})
+        self.alter_index_properties(client, collection_name, idx_names[0], properties={"mmap.enabled": True})
-        res2 = client_w.describe_index(client, collection_name, index_name=idx_names[0])[0]
+        res2 = self.describe_index(client, collection_name, index_name=idx_names[0])[0]
         assert res2.get('mmap.enabled', None) == 'True'
-        client_w.drop_index_properties(client, collection_name, idx_names[0], property_keys=["mmap.enabled"])
+        self.drop_index_properties(client, collection_name, idx_names[0], property_keys=["mmap.enabled"])
-        res3 = client_w.describe_index(client, collection_name, index_name=idx_names[0])[0]
+        res3 = self.describe_index(client, collection_name, index_name=idx_names[0])[0]
         assert res3.get('mmap.enabled', None) is None
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -93,10 +59,10 @@ class TestMilvusClientAlterIndex(TestcaseBase):
         method: 1. alter index with unsupported properties
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        schema = client_w.create_schema(client, enable_dynamic_field=False)[0]
+        schema = self.create_schema(client, enable_dynamic_field=False)[0]
         dim = 32
         pk_field_name = 'id_string'
         vector_field_name = 'embeddings'
@@ -106,22 +72,22 @@ class TestMilvusClientAlterIndex(TestcaseBase):
         schema.add_field(vector_field_name, DataType.FLOAT_VECTOR, dim=dim, mmap_enabled=True)
         schema.add_field(str_field_name, DataType.VARCHAR, max_length=max_length, mmap_enabled=True)
 
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
         index_params.add_index(field_name=vector_field_name, metric_type="COSINE",
                                index_type="HNSW", params={"M": 16, "efConstruction": 100, "mmap.enabled": True})
         index_params.add_index(field_name=str_field_name)
-        client_w.create_collection(client, collection_name, schema=schema, index_params=index_params)
+        self.create_collection(client, collection_name, schema=schema, index_params=index_params)
-        client_w.describe_collection(client, collection_name, check_task=CheckTasks.check_collection_fields_properties,
+        self.describe_collection(client, collection_name, check_task=CheckTasks.check_collection_fields_properties,
                                  check_items={str_field_name: {"max_length": max_length, "mmap_enabled": True},
                                               vector_field_name: {"mmap_enabled": True}})
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        properties = client_w.describe_index(client, collection_name, index_name=vector_field_name)[0]
+        properties = self.describe_index(client, collection_name, index_name=vector_field_name)[0]
         for p in properties.items():
             if p[0] not in ["mmap.enabled"]:
                 log.debug(f"try to alter index property: {p[0]}")
                 error = {ct.err_code: 1, ct.err_msg: f"{p[0]} is not a configable index proptery"}
                 new_value = p[1] + 1 if isinstance(p[1], numbers.Number) else "new_value"
-                client_w.alter_index_properties(client, collection_name, vector_field_name,
+                self.alter_index_properties(client, collection_name, vector_field_name,
                                             properties={p[0]: new_value},
                                             check_task=CheckTasks.err_res, check_items=error)
 
@@ -132,22 +98,22 @@ class TestMilvusClientAlterIndex(TestcaseBase):
         method: 1. alter index with unsupported properties
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, ct.default_dim, consistency_level="Strong")
-        idx_names, _ = client_w.list_indexes(client, collection_name, field_name=default_vector_field_name)
+        idx_names, _ = self.list_indexes(client, collection_name, field_name=default_vector_field_name)
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        res1 = client_w.describe_index(client, collection_name, index_name=idx_names[0])[0]
+        res1 = self.describe_index(client, collection_name, index_name=idx_names[0])[0]
         assert res1.get('mmap.enabled', None) is None
         unsupported_values = [None, [], '', 20, '  ', 0.01, "new_value"]
         for value in unsupported_values:
             error = {ct.err_code: 1, ct.err_msg: f"invalid mmap.enabled value: {value}, expected: true, false"}
-            client_w.alter_index_properties(client, collection_name, idx_names[0],
+            self.alter_index_properties(client, collection_name, idx_names[0],
                                         properties={"mmap.enabled": value},
                                         check_task=CheckTasks.err_res, check_items=error)
 
 
-class TestMilvusClientAlterCollection(TestcaseBase):
+class TestMilvusClientAlterCollection(TestMilvusClientV2Base):
     @pytest.mark.tags(CaseLabel.L0)
     def test_milvus_client_alter_collection_default(self):
         """
@@ -161,48 +127,48 @@ class TestMilvusClientAlterCollection(TestcaseBase):
             verify drop successfully
         expected: alter successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, ct.default_dim, consistency_level="Strong")
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
-        res1 = client_w.describe_collection(client, collection_name)[0]
+        res1 = self.describe_collection(client, collection_name)[0]
         assert res1.get('properties', None) == {}
         # 1. alter collection properties after load
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
         error = {ct.err_code: 999,
                  ct.err_msg: "can not alter mmap properties if collection loaded"}
-        client_w.alter_collection_properties(client, collection_name, properties={"mmap.enabled": True},
+        self.alter_collection_properties(client, collection_name, properties={"mmap.enabled": True},
                                          check_task=CheckTasks.err_res, check_items=error)
-        client_w.alter_collection_properties(client, collection_name, properties={"lazyload.enabled": True},
+        self.alter_collection_properties(client, collection_name, properties={"lazyload.enabled": True},
                                          check_task=CheckTasks.err_res, check_items=error)
         error = {ct.err_code: 999,
                  ct.err_msg: "can not delete mmap properties if collection loaded"}
-        client_w.drop_collection_properties(client, collection_name, property_keys=["mmap.enabled"],
+        self.drop_collection_properties(client, collection_name, property_keys=["mmap.enabled"],
                                         check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection_properties(client, collection_name, property_keys=["lazyload.enabled"],
+        self.drop_collection_properties(client, collection_name, property_keys=["lazyload.enabled"],
                                         check_task=CheckTasks.err_res, check_items=error)
-        res3 = client_w.describe_collection(client, collection_name)[0]
+        res3 = self.describe_collection(client, collection_name)[0]
         assert res3.get('properties', None) == {}
-        client_w.drop_collection_properties(client, collection_name, property_keys=["collection.ttl.seconds"])
+        self.drop_collection_properties(client, collection_name, property_keys=["collection.ttl.seconds"])
         assert res3.get('properties', None) == {}
         # 2. alter collection properties after release
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.alter_collection_properties(client, collection_name, properties={"mmap.enabled": True})
+        self.alter_collection_properties(client, collection_name, properties={"mmap.enabled": True})
-        res2 = client_w.describe_collection(client, collection_name)[0]
+        res2 = self.describe_collection(client, collection_name)[0]
         assert res2.get('properties', None) == {'mmap.enabled': 'True'}
-        client_w.alter_collection_properties(client, collection_name,
+        self.alter_collection_properties(client, collection_name,
                                          properties={"collection.ttl.seconds": 100, "lazyload.enabled": True})
-        res2 = client_w.describe_collection(client, collection_name)[0]
+        res2 = self.describe_collection(client, collection_name)[0]
         assert res2.get('properties', None) == {'mmap.enabled': 'True',
                                                 'collection.ttl.seconds': '100', 'lazyload.enabled': 'True'}
-        client_w.drop_collection_properties(client, collection_name,
+        self.drop_collection_properties(client, collection_name,
                                         property_keys=["mmap.enabled", "lazyload.enabled",
                                                        "collection.ttl.seconds"])
-        res3 = client_w.describe_collection(client, collection_name)[0]
+        res3 = self.describe_collection(client, collection_name)[0]
         assert res3.get('properties', None) == {}
 
 
-class TestMilvusClientAlterCollectionField(TestcaseBase):
+class TestMilvusClientAlterCollectionField(TestMilvusClientV2Base):
     @pytest.mark.tags(CaseLabel.L0)
     def test_milvus_client_alter_collection_field_default(self):
         """
@@ -210,10 +176,10 @@ class TestMilvusClientAlterCollectionField(TestcaseBase):
         method: alter varchar field max length
         expected: alter successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        schema = client_w.create_schema(client, enable_dynamic_field=False)[0]
+        schema = self.create_schema(client, enable_dynamic_field=False)[0]
         dim = 32
         pk_field_name = 'id_string'
         vector_field_name = 'embeddings'
@@ -225,12 +191,12 @@ class TestMilvusClientAlterCollectionField(TestcaseBase):
         schema.add_field(str_field_name, DataType.VARCHAR, max_length=max_length, mmap_enabled=True)
         schema.add_field(json_field_name, DataType.JSON, mmap_enabled=False)
 
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
         index_params.add_index(field_name=vector_field_name, metric_type="COSINE",
                                index_type="IVF_FLAT", params={"nlist": 128})
         index_params.add_index(field_name=str_field_name)
-        client_w.create_collection(client, collection_name, schema=schema, index_params=index_params)
+        self.create_collection(client, collection_name, schema=schema, index_params=index_params)
-        client_w.describe_collection(client, collection_name, check_task=CheckTasks.check_collection_fields_properties,
+        self.describe_collection(client, collection_name, check_task=CheckTasks.check_collection_fields_properties,
                                  check_items={str_field_name: {"max_length": max_length, "mmap_enabled": True},
                                               vector_field_name: {"mmap_enabled": True},
                                               json_field_name: {"mmap_enabled": False}})
@@ -241,26 +207,26 @@ class TestMilvusClientAlterCollectionField(TestcaseBase):
             vector_field_name: list(rng.random((1, dim))[0]),
             str_field_name: cf.gen_str_by_length(max_length),
             json_field_name: {"number": i}
-        } for i in range(default_nb)]
+        } for i in range(ct.default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
 
         # 1. alter collection field before load
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        new_max_length = max_length//2
+        new_max_length = max_length // 2
         # TODO: use one format of mmap_enabled after #38443 fixed
-        client_w.alter_collection_field(client, collection_name,  field_name=str_field_name,
+        self.alter_collection_field(client, collection_name, field_name=str_field_name,
                                     field_params={"max_length": new_max_length, "mmap.enabled": False})
-        client_w.alter_collection_field(client, collection_name, field_name=pk_field_name,
+        self.alter_collection_field(client, collection_name, field_name=pk_field_name,
                                     field_params={"max_length": new_max_length})
-        client_w.alter_collection_field(client, collection_name, field_name=json_field_name,
+        self.alter_collection_field(client, collection_name, field_name=json_field_name,
                                     field_params={"mmap.enabled": True})
-        client_w.alter_collection_field(client, collection_name, field_name=vector_field_name,
+        self.alter_collection_field(client, collection_name, field_name=vector_field_name,
                                     field_params={"mmap.enabled": False})
         error = {ct.err_code: 999, ct.err_msg: f"can not modify the maxlength for non-string types"}
-        client_w.alter_collection_field(client, collection_name, field_name=vector_field_name,
+        self.alter_collection_field(client, collection_name, field_name=vector_field_name,
                                     field_params={"max_length": new_max_length},
                                     check_task=CheckTasks.err_res, check_items=error)
-        client_w.describe_collection(client, collection_name, check_task=CheckTasks.check_collection_fields_properties,
+        self.describe_collection(client, collection_name, check_task=CheckTasks.check_collection_fields_properties,
                                  check_items={str_field_name: {"max_length": new_max_length, "mmap_enabled": False},
                                               vector_field_name: {"mmap_enabled": False},
                                               json_field_name: {"mmap_enabled": True}})
@@ -273,42 +239,42 @@ class TestMilvusClientAlterCollectionField(TestcaseBase):
                 vector_field_name: list(rng.random((1, dim))[0]),
                 str_field_name: cf.gen_str_by_length(max_length) if alter_field == str_field_name else f'title_{i}',
                 json_field_name: {"number": i}
-            } for i in range(default_nb, default_nb+10)]
+            } for i in range(ct.default_nb, ct.default_nb + 10)]
-            client_w.insert(client, collection_name, rows, check_task=CheckTasks.err_res, check_items=error)
+            self.insert(client, collection_name, rows, check_task=CheckTasks.err_res, check_items=error)
 
         # verify that can insert data with the new max_length
         rows = [{
-            pk_field_name: f"new_{cf.gen_str_by_length(new_max_length-4)}",
+            pk_field_name: f"new_{cf.gen_str_by_length(new_max_length - 4)}",
             vector_field_name: list(rng.random((1, dim))[0]),
             str_field_name: cf.gen_str_by_length(new_max_length),
             json_field_name: {"number": i}
-        } for i in range(default_nb, default_nb+10)]
+        } for i in range(ct.default_nb, ct.default_nb + 10)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
 
         # 2. alter collection field after load
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
         error = {ct.err_code: 999,
                  ct.err_msg: "can not alter collection field properties if collection loaded"}
-        client_w.alter_collection_field(client, collection_name, field_name=str_field_name,
+        self.alter_collection_field(client, collection_name, field_name=str_field_name,
                                     field_params={"max_length": max_length, "mmap.enabled": True},
                                     check_task=CheckTasks.err_res, check_items=error)
-        client_w.alter_collection_field(client, collection_name, field_name=vector_field_name,
+        self.alter_collection_field(client, collection_name, field_name=vector_field_name,
                                     field_params={"mmap.enabled": True},
                                     check_task=CheckTasks.err_res, check_items=error)
-        client_w.alter_collection_field(client, collection_name, field_name=pk_field_name,
+        self.alter_collection_field(client, collection_name, field_name=pk_field_name,
                                     field_params={"max_length": max_length})
 
-        res = client_w.query(client, collection_name, filter=f"{pk_field_name} in ['id_10', 'id_20']",
+        res = self.query(client, collection_name, filter=f"{pk_field_name} in ['id_10', 'id_20']",
                          output_fields=["*"])[0]
         assert (len(res)) == 2
-        res = client_w.query(client, collection_name, filter=f"{pk_field_name} like 'new_%'",
+        res = self.query(client, collection_name, filter=f"{pk_field_name} like 'new_%'",
                          output_fields=["*"])[0]
-        assert(len(res)) == 10
+        assert (len(res)) == 10
 
 
-class TestMilvusClientAlterDatabase(TestcaseBase):
+class TestMilvusClientAlterDatabase(TestMilvusClientV2Base):
     @pytest.mark.tags(CaseLabel.L0)
-    # @pytest.mark.skip("reason: need to fix #38469, #38471")
+    # @pytest.mark.skip("reason: need to fix #38469")
     def test_milvus_client_alter_database_default(self):
         """
         target: test alter database
@@ -319,45 +285,43 @@ class TestMilvusClientAlterDatabase(TestcaseBase):
             alter successfully
         expected: alter successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, ct.default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
         default_db = 'default'
-        res1 = client_w.describe_database(client, db_name=default_db)[0]
+        res1 = self.describe_database(client, db_name=default_db)[0]
         if len(res1.keys()) != 1:
-            client_w.drop_database_properties(client, db_name=default_db, property_keys=res1.keys())
+            self.drop_database_properties(client, db_name=default_db, property_keys=res1.keys())
-        assert len(client_w.describe_database(client, default_db)[0].keys()) == 1
+        assert len(self.describe_database(client, default_db)[0].keys()) == 1
         for need_load in [True, False]:
             if need_load:
                 log.debug("alter database after load collection")
-                client_w.load_collection(client, collection_name)
+                self.load_collection(client, collection_name)
 
             # 1. alter default database properties before load
             properties = {"key1": 1, "key2": "value2", "key3": [1, 2, 3], }
-            client_w.alter_database_properties(client, db_name=default_db, properties=properties)
+            self.alter_database_properties(client, db_name=default_db, properties=properties)
-            res1 = client_w.describe_database(client, db_name=default_db)[0]
+            res1 = self.describe_database(client, db_name=default_db)[0]
             # assert res1.properties.items() >= properties.items()
             assert len(res1.keys()) == 4
             my_db = cf.gen_unique_str(prefix)
-            client_w.create_database(client, my_db, properties=properties)
+            self.create_database(client, my_db, properties=properties)
-            res1 = client_w.describe_database(client, db_name=my_db)[0]
+            res1 = self.describe_database(client, db_name=my_db)[0]
             # assert res1.properties.items() >= properties.items()
             assert len(res1.keys()) == 4
             properties = {"key1": 2, "key2": "value3", "key3": [1, 2, 3], 'key4': 0.123}
-            client_w.alter_database_properties(client, db_name=my_db, properties=properties)
+            self.alter_database_properties(client, db_name=my_db, properties=properties)
-            res1 = client_w.describe_database(client, db_name=my_db)[0]
+            res1 = self.describe_database(client, db_name=my_db)[0]
             # assert res1.properties.items() >= properties.items()
             assert len(res1.keys()) == 5
 
             # drop the default database properties
-            client_w.drop_database_properties(client, db_name=default_db, property_keys=["key1", "key2"])
+            self.drop_database_properties(client, db_name=default_db, property_keys=["key1", "key2"])
-            res1 = client_w.describe_database(client, db_name=default_db)[0]
+            res1 = self.describe_database(client, db_name=default_db)[0]
             assert len(res1.keys()) == 2
-            client_w.drop_database_properties(client, db_name=default_db, property_keys=["key3", "key_non_exist"])
+            self.drop_database_properties(client, db_name=default_db, property_keys=["key3", "key_non_exist"])
-            res1 = client_w.describe_database(client, db_name=default_db)[0]
+            res1 = self.describe_database(client, db_name=default_db)[0]
             assert len(res1.keys()) == 1
             # drop the user database
-            client_w.drop_database(client, my_db)
+            self.drop_database(client, my_db)
-
-

tests/python_client/milvus_client/test_milvus_client_delete.py

@@ -1,27 +1,13 @@
-import multiprocessing
-import numbers
-import random
-import numpy
-import threading
 import pytest
-import pandas as pd
-import decimal
-from decimal import Decimal, getcontext
-from time import sleep
-import heapq
 
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
 from utils.util_log import test_log as log
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
 from utils.util_pymilvus import *
-from common.constants import *
-from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
 
-prefix = "milvus_client_api_delete"
+prefix = "client_delete"
 epsilon = ct.epsilon
 default_nb = ct.default_nb
 default_nb_medium = ct.default_nb_medium
@@ -46,7 +32,7 @@ default_int32_array_field_name = ct.default_int32_array_field_name
 default_string_array_field_name = ct.default_string_array_field_name
 
 
-class TestMilvusClientDeleteInvalid(TestcaseBase):
+class TestMilvusClientDeleteInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -62,6 +48,7 @@ class TestMilvusClientDeleteInvalid(TestcaseBase):
     #  The following are invalid base cases
     ******************************************************************
     """
+
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_delete_with_filters_and_ids(self):
         """
@@ -69,24 +56,24 @@ class TestMilvusClientDeleteInvalid(TestcaseBase):
         method: create connection, collection, insert, delete, and search
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        pks = client_w.insert(client, collection_name, rows)[0]
+        pks = self.insert(client, collection_name, rows)[0]
         # 3. delete
         delete_num = 3
-        client_w.delete(client, collection_name, ids=[i for i in range(delete_num)], filter=f"id < {delete_num}",
+        self.delete(client, collection_name, ids=[i for i in range(delete_num)], filter=f"id < {delete_num}",
                     check_task=CheckTasks.err_res,
                     check_items={"err_code": 1,
                                  "err_msg": "Ambiguous filter parameter, "
                                             "only one deletion condition can be specified."})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.xfail(reason="pymilvus issue 1869")
@@ -96,12 +83,12 @@ class TestMilvusClientDeleteInvalid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. delete
-        client_w.delete(client, collection_name, ids=0,
+        self.delete(client, collection_name, ids=0,
                     check_task=CheckTasks.err_res,
                     check_items={"err_code": 1,
                                  "err_msg": "expr cannot be empty"})
@@ -113,18 +100,18 @@ class TestMilvusClientDeleteInvalid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. delete
-        client_w.delete(client, collection_name,
+        self.delete(client, collection_name,
                     check_task=CheckTasks.err_res,
                     check_items={"err_code": 999,
                                  "err_msg": "The type of expr must be string ,but <class 'NoneType'> is given."})
 
 
-class TestMilvusClientDeleteValid(TestcaseBase):
+class TestMilvusClientDeleteValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -148,19 +135,19 @@ class TestMilvusClientDeleteValid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        pks = client_w.insert(client, collection_name, rows)[0]
+        pks = self.insert(client, collection_name, rows)[0]
         # 3. delete
         delete_num = 3
-        client_w.delete(client, collection_name, ids=[i for i in range(delete_num)])
+        self.delete(client, collection_name, ids=[i for i in range(delete_num)])
         # 4. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
@@ -168,19 +155,19 @@ class TestMilvusClientDeleteValid(TestcaseBase):
             if insert_id in insert_ids:
                 insert_ids.remove(insert_id)
         limit = default_nb - delete_num
-        client_w.search(client, collection_name, vectors_to_search, limit=default_nb,
+        self.search(client, collection_name, vectors_to_search, limit=default_nb,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": limit})
         # 5. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows[delete_num:],
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_delete_with_filters(self):
@@ -189,19 +176,19 @@ class TestMilvusClientDeleteValid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        pks = client_w.insert(client, collection_name, rows)[0]
+        pks = self.insert(client, collection_name, rows)[0]
         # 3. delete
         delete_num = 3
-        client_w.delete(client, collection_name, filter=f"id < {delete_num}")
+        self.delete(client, collection_name, filter=f"id < {delete_num}")
         # 4. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
@@ -209,19 +196,19 @@ class TestMilvusClientDeleteValid(TestcaseBase):
             if insert_id in insert_ids:
                 insert_ids.remove(insert_id)
         limit = default_nb - delete_num
-        client_w.search(client, collection_name, vectors_to_search, limit=default_nb,
+        self.search(client, collection_name, vectors_to_search, limit=default_nb,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": limit})
         # 5. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows[delete_num:],
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_delete_with_filters_partition(self):
@@ -230,21 +217,21 @@ class TestMilvusClientDeleteValid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        pks = client_w.insert(client, collection_name, rows)[0]
+        pks = self.insert(client, collection_name, rows)[0]
         # 3. get partition lists
-        partition_names = client_w.list_partitions(client, collection_name)
+        partition_names = self.list_partitions(client, collection_name)
         # 4. delete
         delete_num = 3
-        client_w.delete(client, collection_name, filter=f"id < {delete_num}", partition_names=partition_names)
+        self.delete(client, collection_name, filter=f"id < {delete_num}", partition_names=partition_names)
         # 5. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
@@ -252,16 +239,16 @@ class TestMilvusClientDeleteValid(TestcaseBase):
             if insert_id in insert_ids:
                 insert_ids.remove(insert_id)
         limit = default_nb - delete_num
-        client_w.search(client, collection_name, vectors_to_search, limit=default_nb,
+        self.search(client, collection_name, vectors_to_search, limit=default_nb,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": limit})
         # 6. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows[delete_num:],
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)

tests/python_client/milvus_client/test_milvus_client_index.py

@@ -1,27 +1,13 @@
-import multiprocessing
-import numbers
-import random
-import numpy
-import threading
 import pytest
-import pandas as pd
-import decimal
-from decimal import Decimal, getcontext
-from time import sleep
-import heapq
 
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
 from utils.util_log import test_log as log
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
 from utils.util_pymilvus import *
-from common.constants import *
-from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
 
-prefix = "milvus_client_api_index"
+prefix = "client_index"
 epsilon = ct.epsilon
 default_nb = ct.default_nb
 default_nb_medium = ct.default_nb_medium
@@ -47,7 +33,7 @@ default_int32_array_field_name = ct.default_int32_array_field_name
 default_string_array_field_name = ct.default_string_array_field_name
 
 
-class TestMilvusClientIndexInvalid(TestcaseBase):
+class TestMilvusClientIndexInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -72,21 +58,21 @@ class TestMilvusClientIndexInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector")
+        index_params.add_index(field_name="vector")
         # 3. create index
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {name}. the first character of a collection "
                                                 f"name must be an underscore or letter: invalid parameter"}
-        client_w.create_index(client, name, index_params,
+        self.create_index(client, name, index_params,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.parametrize("name", ["a".join("a" for i in range(256))])
@@ -96,21 +82,21 @@ class TestMilvusClientIndexInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector")
+        index_params.add_index(field_name="vector")
         # 3. create index
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {name}. the length of a collection name "
                                                 f"must be less than 255 characters: invalid parameter"}
-        client_w.create_index(client, name, index_params,
+        self.create_index(client, name, index_params,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_index_not_exist_collection_name(self):
@@ -119,21 +105,22 @@ class TestMilvusClientIndexInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         not_existed_collection_name = cf.gen_unique_str("not_existed_collection")
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
         index_params.add_index(field_name="vector")
         # 3. create index
-        error = {ct.err_code: 100, ct.err_msg: f"can't find collection[database=default][collection={not_existed_collection_name}]"}
+        error = {ct.err_code: 100,
-        client_w.create_index(client, not_existed_collection_name, index_params,
+                 ct.err_msg: f"can't find collection[database=default][collection={not_existed_collection_name}]"}
+        self.create_index(client, not_existed_collection_name, index_params,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.skip(reason="pymilvus issue 1885")
@@ -144,21 +131,21 @@ class TestMilvusClientIndexInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector", index_type=index)
+        index_params.add_index(field_name="vector", index_type=index)
         # 3. create index
         error = {ct.err_code: 100, ct.err_msg: f"can't find collection collection not "
                                                f"found[database=default][collection=not_existed]"}
-        client_w.create_index(client, collection_name, index_params,
+        self.create_index(client, collection_name, index_params,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.skip(reason="pymilvus issue 1885")
@@ -169,21 +156,21 @@ class TestMilvusClientIndexInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector", metric_type = metric)
+        index_params.add_index(field_name="vector", metric_type=metric)
         # 3. create index
         error = {ct.err_code: 100, ct.err_msg: f"can't find collection collection not "
                                                f"found[database=default][collection=not_existed]"}
-        client_w.create_index(client, collection_name, index_params,
+        self.create_index(client, collection_name, index_params,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_index_drop_index_before_release(self):
@@ -192,15 +179,15 @@ class TestMilvusClientIndexInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         error = {ct.err_code: 65535, ct.err_msg: f"index cannot be dropped, collection is loaded, "
                                                  f"please release it first"}
-        client_w.drop_index(client, collection_name, "vector",
+        self.drop_index(client, collection_name, "vector",
                         check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.skip(reason="pymilvus issue 1886")
@@ -210,23 +197,23 @@ class TestMilvusClientIndexInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector", index_type="HNSW", metric_type="IP")
+        index_params.add_index(field_name="vector", index_type="HNSW", metric_type="IP")
         # 3. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 4. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
         index_params.add_index(field_name="vector", index_type="IVF_FLAT", metric_type="L2")
         error = {ct.err_code: 1100, ct.err_msg: f""}
         # 5. create another index
-        client_w.create_index(client, collection_name, index_params,
+        self.create_index(client, collection_name, index_params,
                           check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.skip(reason="pymilvus issue 1886")
@@ -236,19 +223,19 @@ class TestMilvusClientIndexInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector", index_type="HNSW", metric_type="L2")
+        index_params.add_index(field_name="vector", index_type="HNSW", metric_type="L2")
         # 3. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
 
-class TestMilvusClientIndexValid(TestcaseBase):
+class TestMilvusClientIndexValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -280,44 +267,44 @@ class TestMilvusClientIndexValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
-        res = client_w.list_indexes(client, collection_name)[0]
+        res = self.list_indexes(client, collection_name)[0]
         assert res == []
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
         index_params.add_index(field_name="vector", index_type=index, metric_type=metric_type)
         # 3. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 4. create same index twice
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 5. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 6. load collection
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
         # 7. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 8. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.skip(reason="pymilvus issue 1884")
@@ -330,42 +317,42 @@ class TestMilvusClientIndexValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
-        res = client_w.list_indexes(client, collection_name)[0]
+        res = self.list_indexes(client, collection_name)[0]
         assert res == []
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector", index_type=index, params=params,metric_type = metric_type)
+        index_params.add_index(field_name="vector", index_type=index, params=params, metric_type=metric_type)
         # 3. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 4. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 5. load collection
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
         # 6. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 7. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.skip("wait for modification")
@@ -378,40 +365,40 @@ class TestMilvusClientIndexValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector", index_type=index, metric_type = metric_type)
+        index_params.add_index(field_name="vector", index_type=index, metric_type=metric_type)
         # 4. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 5. load collection
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
         # 5. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 4. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.skip("wait for modification")
@@ -421,49 +408,49 @@ class TestMilvusClientIndexValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
-        res = client_w.list_indexes(client, collection_name)[0]
+        res = self.list_indexes(client, collection_name)[0]
         assert res == []
         # 2. prepare index params
         index = "AUTOINDEX"
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector", index_type=index, metric_type = metric_type)
+        index_params.add_index(field_name="vector", index_type=index, metric_type=metric_type)
         index_params.add_index(field_name="id", index_type=scalar_index, metric_type=metric_type)
         # 3. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 4. drop index
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
-        client_w.drop_index(client, collection_name, "id")
+        self.drop_index(client, collection_name, "id")
         # 5. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 6. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 7. load collection
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
         # 8. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 9. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.skip("wait for modification")
@@ -473,45 +460,45 @@ class TestMilvusClientIndexValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
-        res = client_w.list_indexes(client, collection_name)[0]
+        res = self.list_indexes(client, collection_name)[0]
         assert res == []
         # 2. prepare index params
         index = "AUTOINDEX"
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector", index_type=index, metric_type = metric_type)
+        index_params.add_index(field_name="vector", index_type=index, metric_type=metric_type)
         index_params.add_index(field_name="id", index_type=scalar_index, metric_type=metric_type)
         # 3. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 4. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i),
                  default_multiple_vector_field_name: list(rng.random((1, default_dim))[0])} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 5. load collection
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
         # 6. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 7. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.skip("wait for modification")
@@ -524,46 +511,46 @@ class TestMilvusClientIndexValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
-        res = client_w.list_indexes(client, collection_name)[0]
+        res = self.list_indexes(client, collection_name)[0]
         assert res == []
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
-        index_params.add_index(field_name = "vector", index_type=index, metric_type = metric_type)
+        index_params.add_index(field_name="vector", index_type=index, metric_type=metric_type)
         # 3. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 4. drop index
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
         # 4. create same index twice
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 5. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 6. load collection
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
         # 7. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 8. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.skip("wait for modification")
@@ -576,44 +563,44 @@ class TestMilvusClientIndexValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
-        res = client_w.list_indexes(client, collection_name)[0]
+        res = self.list_indexes(client, collection_name)[0]
         assert res == []
         # 2. prepare index params
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
         index_params.add_index(field_name="vector", metric_type=metric_type)
         # 3. create index
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 4. drop index
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
         # 4. create different index
         index_params.add_index(field_name="vector", index_type=index, metric_type=metric_type)
-        client_w.create_index(client, collection_name, index_params)
+        self.create_index(client, collection_name, index_params)
         # 5. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 6. load collection
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
         # 7. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 8. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)

tests/python_client/milvus_client/test_milvus_client_insert.py

@@ -1,27 +1,13 @@
-import multiprocessing
-import numbers
-import random
-import numpy
-import threading
 import pytest
-import pandas as pd
-import decimal
-from decimal import Decimal, getcontext
-from time import sleep
-import heapq
 
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
 from utils.util_log import test_log as log
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
 from utils.util_pymilvus import *
-from common.constants import *
-from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
 
-prefix = "milvus_client_api_insert"
+prefix = "client_insert"
 epsilon = ct.epsilon
 default_nb = ct.default_nb
 default_nb_medium = ct.default_nb_medium
@@ -46,7 +32,7 @@ default_int32_array_field_name = ct.default_int32_array_field_name
 default_string_array_field_name = ct.default_string_array_field_name
 
 
-class TestMilvusClientInsertInvalid(TestcaseBase):
+class TestMilvusClientInsertInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -71,17 +57,17 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: raise error
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         vectors = [[random.random() for _ in range(default_dim)] for _ in range(default_nb)]
         data = [[i for i in range(default_nb)], vectors]
         error = {ct.err_code: 1, ct.err_msg: "Unexpected error, message=<'list' object has no attribute 'items'"}
-        client_w.insert(client, collection_name, data,
+        self.insert(client, collection_name, data,
                     check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_insert_empty_collection_name(self):
@@ -90,13 +76,13 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = ""
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1, ct.err_msg: f"`collection_name` value {collection_name} is illegal"}
-        client_w.insert(client, collection_name, rows,
+        self.insert(client, collection_name, rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -107,13 +93,13 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
                                                 f"collection name must be an underscore or letter: invalid parameter"}
-        client_w.insert(client, collection_name, rows,
+        self.insert(client, collection_name, rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -123,13 +109,13 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = "a".join("a" for i in range(256))
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection name must be less than 255 characters"}
-        client_w.insert(client, collection_name, rows,
+        self.insert(client, collection_name, rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -139,13 +125,13 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str("insert_not_exist")
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 100, ct.err_msg: f"can't find collection[database=default][collection={collection_name}]"}
-        client_w.insert(client, collection_name, rows,
+        self.insert(client, collection_name, rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -156,14 +142,14 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         error = {ct.err_code: 999,
                  ct.err_msg: "wrong type of argument 'data',expected 'Dict' or list of 'Dict', got 'str'"}
-        client_w.insert(client, collection_name, data,
+        self.insert(client, collection_name, data,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -173,10 +159,10 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i,
@@ -184,7 +170,7 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         error = {ct.err_code: 1,
                  ct.err_msg: f"Insert missed an field `vector` to collection "
                              f"without set nullable==true or set default_value"}
-        client_w.insert(client, collection_name, data=rows,
+        self.insert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -194,17 +180,17 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1,
                  ct.err_msg: f"Insert missed an field `id` to collection without set nullable==true or set default_value"}
-        client_w.insert(client, collection_name, data=rows,
+        self.insert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -214,17 +200,17 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, enable_dynamic_field=False)
+        self.create_collection(client, collection_name, default_dim, enable_dynamic_field=False)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1,
                  ct.err_msg: f"Attempt to insert an unexpected field `float` to collection without enabling dynamic field"}
-        client_w.insert(client, collection_name, data=rows,
+        self.insert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -234,16 +220,17 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
-        rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim+1))[0]),
+        rows = [
+            {default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim + 1))[0]),
              default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 65536, ct.err_msg: f"of float data should divide the dim({default_dim})"}
-        client_w.insert(client, collection_name, data= rows,
+        self.insert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -253,18 +240,19 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: insert string to int primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
-        rows = [{default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
+        rows = [
+            {default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
              default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1,
                  ct.err_msg: f"The Input data type is inconsistent with defined schema, "
                              f"{{id}} field should be a int64"}
-        client_w.insert(client, collection_name, data=rows,
+        self.insert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -275,10 +263,10 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
@@ -286,7 +274,7 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}."}
         if partition_name == " ":
             error = {ct.err_code: 1, ct.err_msg: f"Invalid partition name: . Partition name should not be empty."}
-        client_w.insert(client, collection_name, data=rows, partition_name=partition_name,
+        self.insert(client, collection_name, data=rows, partition_name=partition_name,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -296,17 +284,17 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         partition_name = cf.gen_unique_str("partition_not_exist")
         error = {ct.err_code: 200, ct.err_msg: f"partition not found[partition={partition_name}]"}
-        client_w.insert(client, collection_name, data= rows, partition_name=partition_name,
+        self.insert(client, collection_name, data=rows, partition_name=partition_name,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -316,24 +304,24 @@ class TestMilvusClientInsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         another_collection_name = cf.gen_unique_str(prefix + "another")
         partition_name = cf.gen_unique_str("partition")
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
-        client_w.create_collection(client, another_collection_name, default_dim)
+        self.create_collection(client, another_collection_name, default_dim)
-        client_w.create_partition(client, another_collection_name, partition_name)
+        self.create_partition(client, another_collection_name, partition_name)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 200, ct.err_msg: f"partition not found[partition={partition_name}]"}
-        client_w.insert(client, collection_name, data= rows, partition_name=partition_name,
+        self.insert(client, collection_name, data=rows, partition_name=partition_name,
                     check_task=CheckTasks.err_res, check_items=error)
 
 
-class TestMilvusClientInsertValid(TestcaseBase):
+class TestMilvusClientInsertValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -357,13 +345,13 @@ class TestMilvusClientInsertValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        collections = client_w.list_collections(client)[0]
+        collections = self.list_collections(client)[0]
         assert collection_name in collections
-        client_w.describe_collection(client, collection_name,
+        self.describe_collection(client, collection_name,
                                  check_task=CheckTasks.check_describe_collection_property,
                                  check_items={"collection_name": collection_name,
                                               "dim": default_dim,
@@ -372,25 +360,25 @@ class TestMilvusClientInsertValid(TestcaseBase):
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        results = client_w.insert(client, collection_name, rows)[0]
+        results = self.insert(client, collection_name, rows)[0]
         assert results['insert_count'] == default_nb
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 4. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_insert_different_fields(self):
@@ -399,13 +387,13 @@ class TestMilvusClientInsertValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        collections = client_w.list_collections(client)[0]
+        collections = self.list_collections(client)[0]
         assert collection_name in collections
-        client_w.describe_collection(client, collection_name,
+        self.describe_collection(client, collection_name,
                                  check_task=CheckTasks.check_describe_collection_property,
                                  check_items={"collection_name": collection_name,
                                               "dim": default_dim,
@@ -414,23 +402,23 @@ class TestMilvusClientInsertValid(TestcaseBase):
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        results = client_w.insert(client, collection_name, rows)[0]
+        results = self.insert(client, collection_name, rows)[0]
         assert results['insert_count'] == default_nb
         # 3. insert diff fields
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, "new_diff_str_field": str(i)} for i in range(default_nb)]
-        results = client_w.insert(client, collection_name, rows)[0]
+        results = self.insert(client, collection_name, rows)[0]
         assert results['insert_count'] == default_nb
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_insert_empty_data(self):
@@ -439,24 +427,24 @@ class TestMilvusClientInsertValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rows = []
-        results = client_w.insert(client, collection_name, rows)[0]
+        results = self.insert(client, collection_name, rows)[0]
         assert results['insert_count'] == 0
         # 3. search
         rng = np.random.default_rng(seed=19530)
         vectors_to_search = rng.random((1, default_dim))
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": [],
                                  "limit": 0})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_insert_partition(self):
@@ -465,45 +453,45 @@ class TestMilvusClientInsertValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create partition
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        partitions = client_w.list_partitions(client, collection_name)[0]
+        partitions = self.list_partitions(client, collection_name)[0]
         assert partition_name in partitions
-        index = client_w.list_indexes(client, collection_name)[0]
+        index = self.list_indexes(client, collection_name)[0]
         assert index == ['vector']
-        # load_state = client_w.get_load_state(collection_name)[0]
+        # load_state = self.get_load_state(collection_name)[0]
         # 3. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        results  = client_w.insert(client, collection_name, rows, partition_name=partition_name)[0]
+        results = self.insert(client, collection_name, rows, partition_name=partition_name)[0]
         assert results['insert_count'] == default_nb
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
-        # partition_number = client_w.get_partition_stats(client, collection_name, "_default")[0]
+        # partition_number = self.get_partition_stats(client, collection_name, "_default")[0]
         # assert partition_number == default_nb
-        # partition_number = client_w.get_partition_stats(client, collection_name, partition_name)[0]
+        # partition_number = self.get_partition_stats(client, collection_name, partition_name)[0]
         # assert partition_number[0]['value'] == 0
-        if client_w.has_partition(client, collection_name, partition_name)[0]:
+        if self.has_partition(client, collection_name, partition_name)[0]:
-            client_w.release_partitions(client, collection_name, partition_name)
+            self.release_partitions(client, collection_name, partition_name)
-            client_w.drop_partition(client, collection_name, partition_name)
+            self.drop_partition(client, collection_name, partition_name)
-        if client_w.has_collection(client, collection_name)[0]:
+        if self.has_collection(client, collection_name)[0]:
-            client_w.drop_collection(client, collection_name)
+            self.drop_collection(client, collection_name)
 
 
-class TestMilvusClientUpsertInvalid(TestcaseBase):
+class TestMilvusClientUpsertInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -528,17 +516,17 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: raise error
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         vectors = [[random.random() for _ in range(default_dim)] for _ in range(default_nb)]
         data = [[i for i in range(default_nb)], vectors]
         error = {ct.err_code: 1, ct.err_msg: "Unexpected error, message=<'list' object has no attribute 'items'"}
-        client_w.upsert(client, collection_name, data,
+        self.upsert(client, collection_name, data,
                     check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_upsert_empty_collection_name(self):
@@ -547,13 +535,13 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = ""
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1, ct.err_msg: f"`collection_name` value {collection_name} is illegal"}
-        client_w.upsert(client, collection_name, rows,
+        self.upsert(client, collection_name, rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -564,13 +552,13 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
                                                 f"collection name must be an underscore or letter: invalid parameter"}
-        client_w.upsert(client, collection_name, rows,
+        self.upsert(client, collection_name, rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -580,13 +568,13 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = "a".join("a" for i in range(256))
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection name must be less than 255 characters"}
-        client_w.upsert(client, collection_name, rows,
+        self.upsert(client, collection_name, rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -596,13 +584,13 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str("insert_not_exist")
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 100, ct.err_msg: f"can't find collection[database=default][collection={collection_name}]"}
-        client_w.upsert(client, collection_name, rows,
+        self.upsert(client, collection_name, rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -613,13 +601,13 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         error = {ct.err_code: 1, ct.err_msg: f"wrong type of argument 'data',expected 'Dict' or list of 'Dict'"}
-        client_w.upsert(client, collection_name, data,
+        self.upsert(client, collection_name, data,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -629,13 +617,13 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         error = {ct.err_code: 1, ct.err_msg: f"wrong type of argument 'data',expected 'Dict' or list of 'Dict'"}
-        client_w.upsert(client, collection_name, data="",
+        self.upsert(client, collection_name, data="",
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -645,17 +633,17 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i,
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(10)]
         error = {ct.err_code: 1,
                  ct.err_msg: "Insert missed an field `vector` to collection without set nullable==true or set default_value"}
-        client_w.upsert(client, collection_name, data=rows,
+        self.upsert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -665,17 +653,17 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(20)]
         error = {ct.err_code: 1,
                  ct.err_msg: f"Insert missed an field `id` to collection without set nullable==true or set default_value"}
-        client_w.upsert(client, collection_name, data=rows,
+        self.upsert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -685,18 +673,18 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        dim= 32
+        dim = 32
-        client_w.create_collection(client, collection_name, dim, enable_dynamic_field=False)
+        self.create_collection(client, collection_name, dim, enable_dynamic_field=False)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(10)]
         error = {ct.err_code: 1,
                  ct.err_msg: f"Attempt to insert an unexpected field `float` to collection without enabling dynamic field"}
-        client_w.upsert(client, collection_name, data=rows,
+        self.upsert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -706,16 +694,17 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
-        rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim+1))[0]),
+        rows = [
+            {default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim + 1))[0]),
              default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 65536, ct.err_msg: f"of float data should divide the dim({default_dim})"}
-        client_w.upsert(client, collection_name, data= rows,
+        self.upsert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -725,17 +714,18 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: insert string to int primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
-        rows = [{default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
+        rows = [
+            {default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
              default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 1,
                  ct.err_msg: "The Input data type is inconsistent with defined schema, {id} field should be a int64"}
-        client_w.upsert(client, collection_name, data= rows,
+        self.upsert(client, collection_name, data=rows,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -746,10 +736,10 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
@@ -757,7 +747,7 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}"}
         if partition_name == " ":
             error = {ct.err_code: 1, ct.err_msg: f"Invalid partition name: . Partition name should not be empty."}
-        client_w.upsert(client, collection_name, data= rows, partition_name=partition_name,
+        self.upsert(client, collection_name, data=rows, partition_name=partition_name,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -767,17 +757,17 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         partition_name = cf.gen_unique_str("partition_not_exist")
         error = {ct.err_code: 200, ct.err_msg: f"partition not found[partition={partition_name}]"}
-        client_w.upsert(client, collection_name, data= rows, partition_name=partition_name,
+        self.upsert(client, collection_name, data=rows, partition_name=partition_name,
                     check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -787,24 +777,24 @@ class TestMilvusClientUpsertInvalid(TestcaseBase):
         method: insert extra field than schema when enable_dynamic_field is False
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         another_collection_name = cf.gen_unique_str(prefix + "another")
         partition_name = cf.gen_unique_str("partition")
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
-        client_w.create_collection(client, another_collection_name, default_dim)
+        self.create_collection(client, another_collection_name, default_dim)
-        client_w.create_partition(client, another_collection_name, partition_name)
+        self.create_partition(client, another_collection_name, partition_name)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         error = {ct.err_code: 200, ct.err_msg: f"partition not found[partition={partition_name}]"}
-        client_w.upsert(client, collection_name, data= rows, partition_name=partition_name,
+        self.upsert(client, collection_name, data=rows, partition_name=partition_name,
                     check_task=CheckTasks.err_res, check_items=error)
 
 
-class TestMilvusClientUpsertValid(TestcaseBase):
+class TestMilvusClientUpsertValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -828,13 +818,13 @@ class TestMilvusClientUpsertValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        collections = client_w.list_collections(client)[0]
+        collections = self.list_collections(client)[0]
         assert collection_name in collections
-        client_w.describe_collection(client, collection_name,
+        self.describe_collection(client, collection_name,
                                  check_task=CheckTasks.check_describe_collection_property,
                                  check_items={"collection_name": collection_name,
                                               "dim": default_dim,
@@ -843,25 +833,25 @@ class TestMilvusClientUpsertValid(TestcaseBase):
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        results = client_w.upsert(client, collection_name, rows)[0]
+        results = self.upsert(client, collection_name, rows)[0]
         assert results['upsert_count'] == default_nb
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 4. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_upsert_empty_data(self):
@@ -870,24 +860,24 @@ class TestMilvusClientUpsertValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rows = []
-        results = client_w.upsert(client, collection_name, rows)[0]
+        results = self.upsert(client, collection_name, rows)[0]
         assert results['upsert_count'] == 0
         # 3. search
         rng = np.random.default_rng(seed=19530)
         vectors_to_search = rng.random((1, default_dim))
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": [],
                                  "limit": 0})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_upsert_partition(self):
@@ -896,45 +886,45 @@ class TestMilvusClientUpsertValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create partition
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        partitions = client_w.list_partitions(client, collection_name)[0]
+        partitions = self.list_partitions(client, collection_name)[0]
         assert partition_name in partitions
-        index = client_w.list_indexes(client, collection_name)[0]
+        index = self.list_indexes(client, collection_name)[0]
         assert index == ['vector']
-        # load_state = client_w.get_load_state(collection_name)[0]
+        # load_state = self.get_load_state(collection_name)[0]
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
         # 3. upsert to default partition
-        results = client_w.upsert(client, collection_name, rows, partition_name=partitions[0])[0]
+        results = self.upsert(client, collection_name, rows, partition_name=partitions[0])[0]
         assert results['upsert_count'] == default_nb
         # 4. upsert to non-default partition
-        results  = client_w.upsert(client, collection_name, rows, partition_name=partition_name)[0]
+        results = self.upsert(client, collection_name, rows, partition_name=partition_name)[0]
         assert results['upsert_count'] == default_nb
         # 5. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
-        # partition_number = client_w.get_partition_stats(client, collection_name, "_default")[0]
+        # partition_number = self.get_partition_stats(client, collection_name, "_default")[0]
         # assert partition_number == default_nb
-        # partition_number = client_w.get_partition_stats(client, collection_name, partition_name)[0]
+        # partition_number = self.get_partition_stats(client, collection_name, partition_name)[0]
         # assert partition_number[0]['value'] == 0
-        if client_w.has_partition(client, collection_name, partition_name)[0]:
+        if self.has_partition(client, collection_name, partition_name)[0]:
-            client_w.release_partitions(client, collection_name, partition_name)
+            self.release_partitions(client, collection_name, partition_name)
-            client_w.drop_partition(client, collection_name, partition_name)
+            self.drop_partition(client, collection_name, partition_name)
-        if client_w.has_collection(client, collection_name)[0]:
+        if self.has_collection(client, collection_name)[0]:
-            client_w.drop_collection(client, collection_name)
+            self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_insert_upsert(self):
@@ -943,39 +933,39 @@ class TestMilvusClientUpsertValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create partition
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        partitions = client_w.list_partitions(client, collection_name)[0]
+        partitions = self.list_partitions(client, collection_name)[0]
         assert partition_name in partitions
-        index = client_w.list_indexes(client, collection_name)[0]
+        index = self.list_indexes(client, collection_name)[0]
         assert index == ['vector']
-        # load_state = client_w.get_load_state(collection_name)[0]
+        # load_state = self.get_load_state(collection_name)[0]
         # 3. insert and upsert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        results = client_w.insert(client, collection_name, rows, partition_name=partition_name)[0]
+        results = self.insert(client, collection_name, rows, partition_name=partition_name)[0]
         assert results['insert_count'] == default_nb
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, "new_diff_str_field": str(i)} for i in range(default_nb)]
-        results  = client_w.upsert(client, collection_name, rows, partition_name=partition_name)[0]
+        results = self.upsert(client, collection_name, rows, partition_name=partition_name)[0]
         assert results['upsert_count'] == default_nb
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
-        if client_w.has_partition(client, collection_name, partition_name)[0]:
+        if self.has_partition(client, collection_name, partition_name)[0]:
-            client_w.release_partitions(client, collection_name, partition_name)
+            self.release_partitions(client, collection_name, partition_name)
-            client_w.drop_partition(client, collection_name, partition_name)
+            self.drop_partition(client, collection_name, partition_name)
-        if client_w.has_collection(client, collection_name)[0]:
+        if self.has_collection(client, collection_name)[0]:
-            client_w.drop_collection(client, collection_name)
+            self.drop_collection(client, collection_name)

tests/python_client/milvus_client/test_milvus_client_partition.py

@@ -1,26 +1,11 @@
-import multiprocessing
-import numbers
-import random
-import numpy
-import threading
 import pytest
-import pandas as pd
-import decimal
-from decimal import Decimal, getcontext
-from time import sleep
-import heapq
-from pymilvus import DataType
 
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
 from utils.util_log import test_log as log
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
 from utils.util_pymilvus import *
-from common.constants import *
-from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
 
 prefix = "milvus_client_api_partition"
 partition_prefix = "milvus_client_api_partition"
@@ -48,7 +33,7 @@ default_int32_array_field_name = ct.default_int32_array_field_name
 default_string_array_field_name = ct.default_string_array_field_name
 
 
-class TestMilvusClientPartitionInvalid(TestcaseBase):
+class TestMilvusClientPartitionInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -73,12 +58,12 @@ class TestMilvusClientPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
                                                 f"collection name must be an underscore or letter: invalid parameter"}
-        client_w.create_partition(client, collection_name, partition_name,
+        self.create_partition(client, collection_name, partition_name,
                               check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -88,13 +73,14 @@ class TestMilvusClientPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = "a".join("a" for i in range(256))
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
-        error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
+        error = {ct.err_code: 1100,
+                 ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
                              f"must be less than 255 characters: invalid parameter"}
-        client_w.create_partition(client, collection_name, partition_name,
+        self.create_partition(client, collection_name, partition_name,
                               check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -104,13 +90,13 @@ class TestMilvusClientPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str("partition_not_exist")
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
         error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default]"
                                                f"[collection={collection_name}]"}
-        client_w.create_partition(client, collection_name, partition_name,
+        self.create_partition(client, collection_name, partition_name,
                               check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -121,12 +107,12 @@ class TestMilvusClientPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}"}
-        client_w.create_partition(client, collection_name, partition_name,
+        self.create_partition(client, collection_name, partition_name,
                               check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -136,13 +122,13 @@ class TestMilvusClientPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_names = [cf.gen_unique_str(partition_prefix), cf.gen_unique_str(partition_prefix)]
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 999, ct.err_msg: f"`partition_name` value {partition_names} is illegal"}
-        client_w.create_partition(client, collection_name, partition_names,
+        self.create_partition(client, collection_name, partition_names,
                               check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -153,25 +139,25 @@ class TestMilvusClientPartitionInvalid(TestcaseBase):
         method: create 4097 partitions
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_nums = 4095
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         for i in range(partition_nums):
             partition_name = cf.gen_unique_str(partition_prefix)
             # 2. create partition
-            client_w.create_partition(client, collection_name, partition_name)
+            self.create_partition(client, collection_name, partition_name)
-        results = client_w.list_partitions(client, collection_name)[0]
+        results = self.list_partitions(client, collection_name)[0]
         assert len(results) == partition_nums + 1
         partition_name = cf.gen_unique_str(partition_prefix)
         error = {ct.err_code: 65535, ct.err_msg: f"partition number (4096) exceeds max configuration (4096), "
                                                  f"collection: {collection_name}"}
-        client_w.create_partition(client, collection_name, partition_name,
+        self.create_partition(client, collection_name, partition_name,
                               check_task=CheckTasks.err_res, check_items=error)
 
 
-class TestMilvusClientPartitionValid(TestcaseBase):
+class TestMilvusClientPartitionValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -200,27 +186,27 @@ class TestMilvusClientPartitionValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create partition
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        partitions = client_w.list_partitions(client, collection_name)[0]
+        partitions = self.list_partitions(client, collection_name)[0]
         assert partition_name in partitions
-        index = client_w.list_indexes(client, collection_name)[0]
+        index = self.list_indexes(client, collection_name)[0]
         assert index == ['vector']
-        # load_state = client_w.get_load_state(collection_name)[0]
+        # load_state = self.get_load_state(collection_name)[0]
         # 3. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     partition_names=partitions,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
@@ -228,7 +214,7 @@ class TestMilvusClientPartitionValid(TestcaseBase):
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 4. query
-        res = client_w.query(client, collection_name, filter=default_search_exp,
+        res = self.query(client, collection_name, filter=default_search_exp,
                          output_fields=["vector"], partition_names=partitions,
                          check_task=CheckTasks.check_query_results,
                          check_items={exp_res: rows,
@@ -236,15 +222,15 @@ class TestMilvusClientPartitionValid(TestcaseBase):
                                       "primary_field": default_primary_key_field_name})[0]
 
         assert set(res[0].keys()) == {"ids", "vector"}
-        partition_number = client_w.get_partition_stats(client, collection_name, "_default")[0]
+        partition_number = self.get_partition_stats(client, collection_name, "_default")[0]
         assert partition_number == default_nb
-        partition_number = client_w.get_partition_stats(client, collection_name, partition_name)[0]
+        partition_number = self.get_partition_stats(client, collection_name, partition_name)[0]
         assert partition_number[0]['value'] == 0
-        if client_w.has_partition(client, collection_name, partition_name)[0]:
+        if self.has_partition(client, collection_name, partition_name)[0]:
-            client_w.release_partitions(client, collection_name, partition_name)
+            self.release_partitions(client, collection_name, partition_name)
-            client_w.drop_partition(client, collection_name, partition_name)
+            self.drop_partition(client, collection_name, partition_name)
-        if client_w.has_collection(client, collection_name)[0]:
+        if self.has_collection(client, collection_name)[0]:
-            client_w.drop_collection(client, collection_name)
+            self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_create_partition_name_existed(self):
@@ -253,19 +239,19 @@ class TestMilvusClientPartitionValid(TestcaseBase):
         method: create collection
         expected: create partition successfully with only one partition created
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
-        client_w.create_partition(client, collection_name, "_default")
+        self.create_partition(client, collection_name, "_default")
-        results = client_w.list_partitions(client, collection_name)[0]
+        results = self.list_partitions(client, collection_name)[0]
         assert len(results) == 1
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        results = client_w.list_partitions(client, collection_name)[0]
+        results = self.list_partitions(client, collection_name)[0]
         assert len(results) == 2
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        results = client_w.list_partitions(client, collection_name)[0]
+        results = self.list_partitions(client, collection_name)[0]
         assert len(results) == 2
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -275,12 +261,12 @@ class TestMilvusClientPartitionValid(TestcaseBase):
         method: create collection
         expected: drop successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str("partition_not_exist")
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
-        client_w.drop_partition(client, collection_name, partition_name)
+        self.drop_partition(client, collection_name, partition_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_drop_partition_collection_partition_not_match(self):
@@ -289,15 +275,15 @@ class TestMilvusClientPartitionValid(TestcaseBase):
         method: drop partition in another collection
         expected: drop successfully without any operations
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         another_collection_name = cf.gen_unique_str("another")
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.create_collection(client, another_collection_name, default_dim)
+        self.create_collection(client, another_collection_name, default_dim)
-        client_w.drop_partition(client, another_collection_name, partition_name)
+        self.drop_partition(client, another_collection_name, partition_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_has_partition_collection_partition_not_match(self):
@@ -306,19 +292,19 @@ class TestMilvusClientPartitionValid(TestcaseBase):
         method: drop partition in another collection
         expected: drop successfully without any operations
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         another_collection_name = cf.gen_unique_str("another")
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.create_collection(client, another_collection_name, default_dim)
+        self.create_collection(client, another_collection_name, default_dim)
-        result = client_w.has_partition(client, another_collection_name, partition_name)[0]
+        result = self.has_partition(client, another_collection_name, partition_name)[0]
         assert result is False
 
 
-class TestMilvusClientDropPartitionInvalid(TestcaseBase):
+class TestMilvusClientDropPartitionInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -343,12 +329,12 @@ class TestMilvusClientDropPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
                                                 f"collection name must be an underscore or letter: invalid parameter"}
-        client_w.drop_partition(client, collection_name, partition_name,
+        self.drop_partition(client, collection_name, partition_name,
                             check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -358,13 +344,14 @@ class TestMilvusClientDropPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = "a".join("a" for i in range(256))
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
-        error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
+        error = {ct.err_code: 1100,
+                 ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
                              f"must be less than 255 characters: invalid parameter"}
-        client_w.drop_partition(client, collection_name, partition_name,
+        self.drop_partition(client, collection_name, partition_name,
                             check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -374,13 +361,13 @@ class TestMilvusClientDropPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str("partition_not_exist")
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
         error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default]"
                                                f"[collection={collection_name}]"}
-        client_w.drop_partition(client, collection_name, partition_name,
+        self.drop_partition(client, collection_name, partition_name,
                             check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -391,12 +378,12 @@ class TestMilvusClientDropPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}."}
-        client_w.drop_partition(client, collection_name, partition_name,
+        self.drop_partition(client, collection_name, partition_name,
                             check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -406,17 +393,17 @@ class TestMilvusClientDropPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_names = [cf.gen_unique_str(partition_prefix), cf.gen_unique_str(partition_prefix)]
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 1, ct.err_msg: f"`partition_name` value {partition_names} is illegal"}
-        client_w.drop_partition(client, collection_name, partition_names,
+        self.drop_partition(client, collection_name, partition_names,
                             check_task=CheckTasks.err_res, check_items=error)
 
 
-class TestMilvusClientReleasePartitionInvalid(TestcaseBase):
+class TestMilvusClientReleasePartitionInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -441,12 +428,12 @@ class TestMilvusClientReleasePartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
         error = {ct.err_code: 999, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
                                                f"collection name must be an underscore or letter: invalid parameter"}
-        client_w.release_partitions(client, collection_name, partition_name,
+        self.release_partitions(client, collection_name, partition_name,
                                 check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -456,13 +443,14 @@ class TestMilvusClientReleasePartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = "a".join("a" for i in range(256))
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
-        error = {ct.err_code: 999, ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
+        error = {ct.err_code: 999,
+                 ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
                              f"must be less than 255 characters: invalid parameter"}
-        client_w.release_partitions(client, collection_name, partition_name,
+        self.release_partitions(client, collection_name, partition_name,
                                 check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -472,13 +460,13 @@ class TestMilvusClientReleasePartitionInvalid(TestcaseBase):
         method: release partition with not exist collection name
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str("partition_not_exist")
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
         error = {ct.err_code: 999, ct.err_msg: f"collection not found[database=default]"
                                                f"[collection={collection_name}]"}
-        client_w.release_partitions(client, collection_name, partition_name,
+        self.release_partitions(client, collection_name, partition_name,
                                 check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -490,13 +478,13 @@ class TestMilvusClientReleasePartitionInvalid(TestcaseBase):
         method: release partition with invalid partition name value
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}. The first character of a "
                                                  f"partition name must be an underscore or letter.]"}
-        client_w.release_partitions(client, collection_name, partition_name,
+        self.release_partitions(client, collection_name, partition_name,
                                 check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -507,14 +495,14 @@ class TestMilvusClientReleasePartitionInvalid(TestcaseBase):
         method: release partition with invalid partition name value
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         partition_name = ["12-s"]
         error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}. The first character of a "
                                                  f"partition name must be an underscore or letter.]"}
-        client_w.release_partitions(client, collection_name, partition_name,
+        self.release_partitions(client, collection_name, partition_name,
                                 check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -524,13 +512,13 @@ class TestMilvusClientReleasePartitionInvalid(TestcaseBase):
         method: release partition with invalid partition name type
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_names = []
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 999, ct.err_msg: f"invalid parameter[expected=any partition][actual=empty partition list"}
-        client_w.release_partitions(client, collection_name, partition_names,
+        self.release_partitions(client, collection_name, partition_names,
                                 check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -540,14 +528,14 @@ class TestMilvusClientReleasePartitionInvalid(TestcaseBase):
         method: release partition with invalid partition name type
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         not_exist_partition = cf.gen_unique_str("partition_not_exist")
         partition_names = ["_default", not_exist_partition]
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 999, ct.err_msg: f"partition not found[partition={not_exist_partition}]"}
-        client_w.release_partitions(client, collection_name, partition_names,
+        self.release_partitions(client, collection_name, partition_names,
                                 check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -557,21 +545,21 @@ class TestMilvusClientReleasePartitionInvalid(TestcaseBase):
         method: release partition with invalid partition name type
         expected: raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str("partition_not_exist")
         # 2. create partition
         error = {ct.err_code: 200, ct.err_msg: f"partition not found[partition={partition_name}]"}
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
-        client_w.release_partitions(client, collection_name, partition_name,
+        self.release_partitions(client, collection_name, partition_name,
                                 check_task=CheckTasks.err_res, check_items=error)
         partition_name = ""
         error = {ct.err_code: 200, ct.err_msg: f"partition not found[partition={partition_name}]"}
-        client_w.release_partitions(client, collection_name, partition_name,
+        self.release_partitions(client, collection_name, partition_name,
                                 check_task=CheckTasks.err_res, check_items=error)
 
 
-class TestMilvusClientReleasePartitionValid(TestcaseBase):
+class TestMilvusClientReleasePartitionValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -595,17 +583,17 @@ class TestMilvusClientReleasePartitionValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         partition_names = ["_default", partition_name]
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create partition
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.release_partitions(client, collection_name, partition_names)
+        self.release_partitions(client, collection_name, partition_names)
-        client_w.release_partitions(client, collection_name, partition_names)
+        self.release_partitions(client, collection_name, partition_names)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_partition_release_unloaded_partition(self):
@@ -614,16 +602,16 @@ class TestMilvusClientReleasePartitionValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create partition
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.release_partitions(client, collection_name, partition_name)
+        self.release_partitions(client, collection_name, partition_name)
-        client_w.release_partitions(client, collection_name, partition_name)
+        self.release_partitions(client, collection_name, partition_name)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_partition_release_unloaded_collection(self):
@@ -632,16 +620,16 @@ class TestMilvusClientReleasePartitionValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create partition
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.release_partitions(client, collection_name, partition_name)
+        self.release_partitions(client, collection_name, partition_name)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_partition_release_loaded_partition(self):
@@ -650,16 +638,16 @@ class TestMilvusClientReleasePartitionValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create partition
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.load_partitions(client, collection_name, partition_name)
+        self.load_partitions(client, collection_name, partition_name)
-        client_w.release_partitions(client, collection_name, partition_name)
+        self.release_partitions(client, collection_name, partition_name)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_partition_release_loaded_collection(self):
@@ -668,19 +656,19 @@ class TestMilvusClientReleasePartitionValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create partition
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
-        client_w.release_partitions(client, collection_name, partition_name)
+        self.release_partitions(client, collection_name, partition_name)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
 
-class TestMilvusClientListPartitionInvalid(TestcaseBase):
+class TestMilvusClientListPartitionInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -705,11 +693,11 @@ class TestMilvusClientListPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         # 2. create partition
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
                                                 f"collection name must be an underscore or letter: invalid parameter"}
-        client_w.list_partitions(client, collection_name,
+        self.list_partitions(client, collection_name,
                              check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -719,12 +707,13 @@ class TestMilvusClientListPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = "a".join("a" for i in range(256))
         # 2. create partition
-        error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
+        error = {ct.err_code: 1100,
+                 ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
                              f"must be less than 255 characters: invalid parameter"}
-        client_w.list_partitions(client, collection_name,
+        self.list_partitions(client, collection_name,
                              check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -734,16 +723,16 @@ class TestMilvusClientListPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str("partition_not_exist")
         # 2. create partition
         error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default]"
                                                f"[collection={collection_name}]"}
-        client_w.list_partitions(client, collection_name,
+        self.list_partitions(client, collection_name,
                              check_task=CheckTasks.err_res, check_items=error)
 
 
-class TestMilvusClientHasPartitionInvalid(TestcaseBase):
+class TestMilvusClientHasPartitionInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -768,12 +757,12 @@ class TestMilvusClientHasPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
                                                 f"collection name must be an underscore or letter: invalid parameter"}
-        client_w.has_partition(client, collection_name, partition_name,
+        self.has_partition(client, collection_name, partition_name,
                            check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -783,13 +772,14 @@ class TestMilvusClientHasPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = "a".join("a" for i in range(256))
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
-        error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
+        error = {ct.err_code: 1100,
+                 ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
                              f"must be less than 255 characters: invalid parameter"}
-        client_w.has_partition(client, collection_name, partition_name,
+        self.has_partition(client, collection_name, partition_name,
                            check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -799,13 +789,13 @@ class TestMilvusClientHasPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str("partition_not_exist")
         partition_name = cf.gen_unique_str(partition_prefix)
         # 2. create partition
         error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default]"
                                                f"[collection={collection_name}]"}
-        client_w.has_partition(client, collection_name, partition_name,
+        self.has_partition(client, collection_name, partition_name,
                            check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -816,12 +806,12 @@ class TestMilvusClientHasPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}"}
-        client_w.has_partition(client, collection_name, partition_name,
+        self.has_partition(client, collection_name, partition_name,
                            check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -831,14 +821,14 @@ class TestMilvusClientHasPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = "a".join("a" for i in range(256))
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}. "
                                                  f"The length of a partition name must be less than 255 characters"}
-        client_w.has_partition(client, collection_name, partition_name,
+        self.has_partition(client, collection_name, partition_name,
                            check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -848,13 +838,13 @@ class TestMilvusClientHasPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_names = [cf.gen_unique_str(partition_prefix), cf.gen_unique_str(partition_prefix)]
         # 2. create partition
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         error = {ct.err_code: 1, ct.err_msg: f"`partition_name` value {partition_names} is illegal"}
-        client_w.has_partition(client, collection_name, partition_names,
+        self.has_partition(client, collection_name, partition_names,
                            check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -864,17 +854,17 @@ class TestMilvusClientHasPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str("partition_not_exist")
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. create partition
-        result = client_w.has_partition(client, collection_name, partition_name)[0]
+        result = self.has_partition(client, collection_name, partition_name)[0]
         assert result == False
 
 
-class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
+class TestMilvusClientLoadPartitionInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     """
@@ -891,11 +881,11 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         partition_name = cf.gen_unique_str(prefix)
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {name}. collection name can only "
                                                 f"contain numbers, letters and underscores: invalid parameter"}
-        client_w.load_partitions(client, name, partition_name,
+        self.load_partitions(client, name, partition_name,
                              check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -905,12 +895,12 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: drop successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str("nonexisted")
         partition_name = cf.gen_unique_str(prefix)
         error = {ct.err_code: 1100, ct.err_msg: f"collection not found[database=default]"
                                                 f"[collection={collection_name}]"}
-        client_w.load_partitions(client, collection_name, partition_name,
+        self.load_partitions(client, collection_name, partition_name,
                              check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -920,13 +910,13 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: drop successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = "a".join("a" for i in range(256))
         partition_name = cf.gen_unique_str(prefix)
         error = {ct.err_code: 1100, ct.err_msg: f"invalid dimension: {collection_name}. "
                                                 f"the length of a collection name must be less than 255 characters: "
                                                 f"invalid parameter"}
-        client_w.load_partitions(client, collection_name, partition_name,
+        self.load_partitions(client, collection_name, partition_name,
                              check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -937,14 +927,14 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. load partition
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid partition name: {name}. collection name can only "
                                                 f"contain numbers, letters and underscores: invalid parameter"}
-        client_w.load_partitions(client, collection_name, name,
+        self.load_partitions(client, collection_name, name,
                              check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -954,15 +944,15 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: drop successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str("nonexisted")
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. load partition
         error = {ct.err_code: 1100, ct.err_msg: f"partition not found[database=default]"
                                                 f"[collection={collection_name}]"}
-        client_w.load_partitions(client, collection_name, partition_name,
+        self.load_partitions(client, collection_name, partition_name,
                              check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -972,16 +962,16 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: drop successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = "a".join("a" for i in range(256))
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. load partition
         error = {ct.err_code: 1100, ct.err_msg: f"invalid dimension: {collection_name}. "
                                                 f"the length of a collection name must be less than 255 characters: "
                                                 f"invalid parameter"}
-        client_w.load_partitions(client, collection_name, partition_name,
+        self.load_partitions(client, collection_name, partition_name,
                              check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -991,21 +981,21 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: drop successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. drop index
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_index(client, collection_name, "vector")
+        self.drop_index(client, collection_name, "vector")
         # 2. load partition
         error = {ct.err_code: 700, ct.err_msg: f"index not found[collection={collection_name}]"}
-        client_w.load_partitions(client, collection_name, partition_name,
+        self.load_partitions(client, collection_name, partition_name,
                              check_task=CheckTasks.err_res, check_items=error)
 
 
-class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
+class TestMilvusClientLoadPartitionInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     """
@@ -1021,16 +1011,16 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: drop successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         partition_names = ["_default", partition_name]
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
         # 2. load partition
-        client_w.load_partitions(client, collection_name, partition_names)
+        self.load_partitions(client, collection_name, partition_names)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_load_unloaded_partition(self):
@@ -1039,16 +1029,16 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: drop successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
         # 2. load partition
-        client_w.load_partitions(client, collection_name, partition_name)
+        self.load_partitions(client, collection_name, partition_name)
-        client_w.load_partitions(client, collection_name, "_default")
+        self.load_partitions(client, collection_name, "_default")
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_load_unloaded_partition(self):
@@ -1057,17 +1047,15 @@ class TestMilvusClientLoadPartitionInvalid(TestcaseBase):
         method: create collection
         expected: drop successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         partition_name = cf.gen_unique_str(partition_prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        client_w.create_partition(client, collection_name, partition_name)
+        self.create_partition(client, collection_name, partition_name)
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
         # 2. load partition
-        client_w.load_partitions(client, collection_name, partition_name)
+        self.load_partitions(client, collection_name, partition_name)
-        client_w.load_partitions(client, collection_name, partition_name)
+        self.load_partitions(client, collection_name, partition_name)
-        client_w.load_collection(client, collection_name)
+        self.load_collection(client, collection_name)
-        client_w.load_partitions(client, collection_name, partition_name)
+        self.load_partitions(client, collection_name, partition_name)
-
-

tests/python_client/milvus_client/test_milvus_client_query.py

@@ -1,25 +1,11 @@
-import multiprocessing
-import numbers
-import random
-import numpy
-import threading
 import pytest
-import pandas as pd
-import decimal
-from decimal import Decimal, getcontext
-from time import sleep
-import heapq
 
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
 from utils.util_log import test_log as log
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
 from utils.util_pymilvus import *
-from common.constants import *
-from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
 
 prefix = "milvus_client_api_query"
 epsilon = ct.epsilon
@@ -46,7 +32,7 @@ default_int32_array_field_name = ct.default_int32_array_field_name
 default_string_array_field_name = ct.default_string_array_field_name
 
 
-class TestMilvusClientQueryInvalid(TestcaseBase):
+class TestMilvusClientQueryInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -70,13 +56,13 @@ class TestMilvusClientQueryInvalid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        collections = client_w.list_collections(client)[0]
+        collections = self.list_collections(client)[0]
         assert collection_name in collections
-        client_w.describe_collection(client, collection_name,
+        self.describe_collection(client, collection_name,
                                  check_task=CheckTasks.check_describe_collection_property,
                                  check_items={"collection_name": collection_name,
                                               "dim": default_dim,
@@ -85,14 +71,14 @@ class TestMilvusClientQueryInvalid(TestcaseBase):
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. query using ids
         error = {ct.err_code: 65535, ct.err_msg: f"empty expression should be used with limit"}
-        client_w.query(client, collection_name,
+        self.query(client, collection_name,
                    check_task=CheckTasks.err_res, check_items=error)
 
 
-class TestMilvusClientQueryValid(TestcaseBase):
+class TestMilvusClientQueryValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -116,28 +102,28 @@ class TestMilvusClientQueryValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. query using ids
-        client_w.query(client, collection_name, ids=[i for i in range(default_nb)],
+        self.query(client, collection_name, ids=[i for i in range(default_nb)],
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
         # 4. query using filter
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_query_output_fields(self):
@@ -146,23 +132,23 @@ class TestMilvusClientQueryValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. query using ids
-        client_w.query(client, collection_name, ids=[i for i in range(default_nb)],
+        self.query(client, collection_name, ids=[i for i in range(default_nb)],
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
         # 4. query using filter
-        res = client_w.query(client, collection_name, filter=default_search_exp,
+        res = self.query(client, collection_name, filter=default_search_exp,
                          output_fields=[default_primary_key_field_name, default_float_field_name,
                                         default_string_field_name, default_vector_field_name],
                          check_task=CheckTasks.check_query_results,
@@ -171,7 +157,7 @@ class TestMilvusClientQueryValid(TestcaseBase):
                                       "primary_field": default_primary_key_field_name})[0]
         assert set(res[0].keys()) == {default_primary_key_field_name, default_vector_field_name,
                                       default_float_field_name, default_string_field_name}
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_query_output_fields_all(self):
@@ -180,23 +166,23 @@ class TestMilvusClientQueryValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. query using ids
-        client_w.query(client, collection_name, ids=[i for i in range(default_nb)],
+        self.query(client, collection_name, ids=[i for i in range(default_nb)],
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
         # 4. query using filter
-        res = client_w.query(client, collection_name, filter=default_search_exp,
+        res = self.query(client, collection_name, filter=default_search_exp,
                          output_fields=["*"],
                          check_task=CheckTasks.check_query_results,
                          check_items={exp_res: rows,
@@ -204,7 +190,7 @@ class TestMilvusClientQueryValid(TestcaseBase):
                                       "primary_field": default_primary_key_field_name})[0]
         assert set(res[0].keys()) == {default_primary_key_field_name, default_vector_field_name,
                                       default_float_field_name, default_string_field_name}
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_query_limit(self):
@@ -213,34 +199,34 @@ class TestMilvusClientQueryValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. query using ids
         limit = 5
-        client_w.query(client, collection_name, ids=[i for i in range(default_nb)],
+        self.query(client, collection_name, ids=[i for i in range(default_nb)],
                    limit=limit,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows[:limit],
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name[:limit]})
         # 4. query using filter
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    limit=limit,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows[:limit],
                                 "with_vec": True,
-                                    "primary_field": default_primary_key_field_name[:limit]})[0]
+                                "primary_field": default_primary_key_field_name[:limit]})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
 
-class TestMilvusClientGetInvalid(TestcaseBase):
+class TestMilvusClientGetInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     """
@@ -251,29 +237,30 @@ class TestMilvusClientGetInvalid(TestcaseBase):
 
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.parametrize("name",
-                             ["12-s", "12 s", "(mn)", "中文", "%$#", "".join("a" for i in range(ct.max_name_length + 1))])
+                             ["12-s", "12 s", "(mn)", "中文", "%$#",
+                              "".join("a" for i in range(ct.max_name_length + 1))])
     def test_milvus_client_get_invalid_collection_name(self, name):
         """
         target: test get interface invalid cases
         method: invalid collection name
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)[0]
+        self.insert(client, collection_name, rows)
         pks = [i for i in range(default_nb)]
         # 3. get first primary key
         error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name"}
-        client_w.get(client, name, ids=pks[0:1],
+        self.get(client, name, ids=pks[0:1],
                  check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_get_not_exist_collection_name(self):
@@ -282,50 +269,50 @@ class TestMilvusClientGetInvalid(TestcaseBase):
         method: invalid collection name
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)[0]
+        self.insert(client, collection_name, rows)
         pks = [i for i in range(default_nb)]
         # 3. get first primary key
         name = "invalid"
         error = {ct.err_code: 100, ct.err_msg: f"can't find collection[database=default][collection={name}]"}
-        client_w.get(client, name, ids=pks[0:1],
+        self.get(client, name, ids=pks[0:1],
                  check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
-    @pytest.mark.parametrize("invalid_ids",["中文", "%$#"])
+    @pytest.mark.parametrize("invalid_ids", ["中文", "%$#"])
     def test_milvus_client_get_invalid_ids(self, invalid_ids):
         """
         target: test get interface invalid cases
         method: invalid collection name
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)[0]
+        self.insert(client, collection_name, rows)
         # 3. get first primary key
         error = {ct.err_code: 1100, ct.err_msg: f"cannot parse expression"}
-        client_w.get(client, collection_name, ids=invalid_ids,
+        self.get(client, collection_name, ids=invalid_ids,
                  check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
 
-class TestMilvusClientGetValid(TestcaseBase):
+class TestMilvusClientGetValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -341,6 +328,7 @@ class TestMilvusClientGetValid(TestcaseBase):
     #  The following are valid base cases
     ******************************************************************
     """
+
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_get_normal(self):
         """
@@ -348,23 +336,23 @@ class TestMilvusClientGetValid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)[0]
+        self.insert(client, collection_name, rows)
         pks = [i for i in range(default_nb)]
         # 3. get first primary key
-        first_pk_data = client_w.get(client, collection_name, ids=pks[0:1])[0]
+        first_pk_data = self.get(client, collection_name, ids=pks[0:1])[0]
         assert len(first_pk_data) == len(pks[0:1])
-        first_pk_data_1 = client_w.get(client, collection_name, ids=0)[0]
+        first_pk_data_1 = self.get(client, collection_name, ids=0)[0]
         assert first_pk_data == first_pk_data_1
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_get_output_fields(self):
@@ -373,27 +361,27 @@ class TestMilvusClientGetValid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)[0]
+        self.insert(client, collection_name, rows)
         pks = [i for i in range(default_nb)]
         # 3. get first primary key
         output_fields_array = [default_primary_key_field_name, default_vector_field_name,
                                default_float_field_name, default_string_field_name]
-        first_pk_data = client_w.get(client, collection_name, ids=pks[0:1], output_fields=output_fields_array)[0]
+        first_pk_data = self.get(client, collection_name, ids=pks[0:1], output_fields=output_fields_array)[0]
         assert len(first_pk_data) == len(pks[0:1])
         assert len(first_pk_data[0]) == len(output_fields_array)
-        first_pk_data_1 = client_w.get(client, collection_name, ids=0, output_fields=output_fields_array)[0]
+        first_pk_data_1 = self.get(client, collection_name, ids=0, output_fields=output_fields_array)[0]
         assert first_pk_data == first_pk_data_1
         assert len(first_pk_data_1[0]) == len(output_fields_array)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.skip(reason="pymilvus issue 2056")
@@ -403,24 +391,24 @@ class TestMilvusClientGetValid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
+        self.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [
             {default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
              default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)[0]
+        self.insert(client, collection_name, rows)
         pks = [str(i) for i in range(default_nb)]
         # 3. get first primary key
-        first_pk_data = client_w.get(client, collection_name, ids=pks[0:1])[0]
+        first_pk_data = self.get(client, collection_name, ids=pks[0:1])[0]
         assert len(first_pk_data) == len(pks[0:1])
-        first_pk_data_1 = client_w.get(client, collection_name, ids="0")[0]
+        first_pk_data_1 = self.get(client, collection_name, ids="0")[0]
         assert first_pk_data == first_pk_data_1
 
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.skip(reason="pymilvus issue 2056")
@@ -430,24 +418,24 @@ class TestMilvusClientGetValid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
+        self.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [
             {default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
              default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)[0]
+        self.insert(client, collection_name, rows)
         pks = [str(i) for i in range(default_nb)]
         # 3. get first primary key
         output_fields_array = [default_primary_key_field_name, default_vector_field_name,
                                default_float_field_name, default_string_field_name]
-        first_pk_data = client_w.get(client, collection_name, ids=pks[0:1], output_fields=output_fields_array)[0]
+        first_pk_data = self.get(client, collection_name, ids=pks[0:1], output_fields=output_fields_array)[0]
         assert len(first_pk_data) == len(pks[0:1])
         assert len(first_pk_data[0]) == len(output_fields_array)
-        first_pk_data_1 = client_w.get(client, collection_name, ids="0", output_fields=output_fields_array)[0]
+        first_pk_data_1 = self.get(client, collection_name, ids="0", output_fields=output_fields_array)[0]
         assert first_pk_data == first_pk_data_1
         assert len(first_pk_data_1[0]) == len(output_fields_array)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)

tests/python_client/milvus_client/test_milvus_client_rbac.py

@@ -1,18 +1,10 @@
-import multiprocessing
-import numbers
-import random
 import time
-import numpy
 import pytest
-import pandas as pd
 from common import common_func as cf
 from common import common_type as ct
 from utils.util_log import test_log as log
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
 from common.common_type import CaseLabel, CheckTasks
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
-
 
 prefix = "client_rbac"
 user_pre = "user"
@@ -36,7 +28,7 @@ default_string_array_field_name = ct.default_string_array_field_name
 
 
 @pytest.mark.tags(CaseLabel.RBAC)
-class TestMilvusClientRbacBase(TestcaseBase):
+class TestMilvusClientRbacBase(TestMilvusClientV2Base):
     """ Test case of rbac interface """
 
     def teardown_method(self, method):
@@ -45,27 +37,27 @@ class TestMilvusClientRbacBase(TestcaseBase):
         """
         log.info("[utility_teardown_method] Start teardown utility test cases ...")
         uri = f"http://{cf.param_info.param_host}:{cf.param_info.param_port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
 
         # drop users
-        users, _ = self.high_level_api_wrap.list_users()
+        users, _ = self.list_users(client)
         for user in users:
             if user != ct.default_user:
-                self.high_level_api_wrap.drop_user(user)
+                self.drop_user(client, user)
-        users, _ = self.high_level_api_wrap.list_users()
+        users, _ = self.list_users(client)
         assert len(users) == 1
 
         # drop roles
-        roles, _ = self.high_level_api_wrap.list_roles()
+        roles, _ = self.list_roles(client)
         for role in roles:
             if role not in ['admin', 'public']:
-                privileges, _ = self.high_level_api_wrap.describe_role(role)
+                role_info, _ = self.describe_role(client, role)
-                if privileges:
+                if role_info:
-                    for privilege in privileges:
+                    for privilege in role_info.get("privileges", []):
-                        self.high_level_api_wrap.revoke_privilege(role, privilege["object_type"],
+                        self.revoke_privilege(client, role, privilege["object_type"],
                                               privilege["privilege"], privilege["object_name"])
-                self.high_level_api_wrap.drop_role(role)
+                self.drop_role(client, role)
-        roles, _ = self.high_level_api_wrap.list_roles()
+        roles, _ = self.list_roles(client)
         assert len(roles) == 2
 
         super().teardown_method(method)
@@ -77,9 +69,9 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: init successfully
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         # check success link
-        res = client_w.list_collections(client)[0]
+        res = self.list_collections(client)[0]
         assert res == []
 
     def test_milvus_client_connect_using_user_password(self, host, port):
@@ -89,10 +81,10 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: init successfully
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, user=ct.default_user,
+        client, _ = self.init_milvus_client(uri=uri, user=ct.default_user,
                                             password=ct.default_password)
         # check success link
-        res = client_w.list_collections(client)[0]
+        res = self.list_collections(client)[0]
         assert res == []
 
     def test_milvus_client_create_user(self, host, port):
@@ -102,13 +94,13 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
+        client, _ = self.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
         user_name = cf.gen_unique_str(user_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
         # check
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, user=user_name, password=password)
+        client, _ = self.init_milvus_client(uri=uri, user=user_name, password=password)
-        res = client_w.list_collections(client)[0]
+        res = self.list_collections(client)[0]
         assert res == []
 
     def test_milvus_client_drop_user(self, host, port):
@@ -118,15 +110,15 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
+        client, _ = self.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
         user_name = cf.gen_unique_str(user_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
         # drop user that exists
-        self.high_level_api_wrap.drop_user(user_name=user_name)
+        self.drop_user(client, user_name=user_name)
         # drop user that not exists
         not_exist_user_name = cf.gen_unique_str(user_pre)
-        self.high_level_api_wrap.drop_user(user_name=not_exist_user_name)
+        self.drop_user(client, user_name=not_exist_user_name)
 
     def test_milvus_client_update_password(self, host, port):
         """
@@ -135,18 +127,18 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
+        client, _ = self.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
         user_name = cf.gen_unique_str(user_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
         new_password = cf.gen_str_by_length()
-        self.high_level_api_wrap.update_password(user_name=user_name, old_password=password, new_password=new_password)
+        self.update_password(client, user_name=user_name, old_password=password, new_password=new_password)
         # check
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, user=user_name, password=new_password)
+        client, _ = self.init_milvus_client(uri=uri, user=user_name, password=new_password)
-        res = client_w.list_collections(client)[0]
+        res = self.list_collections(client)[0]
         assert len(res) == 0
-        self.high_level_api_wrap.init_milvus_client(uri=uri, user=user_name, password=password,
+        self.init_milvus_client(uri=uri, user=user_name, password=password,
-                                                    check_task=CheckTasks.check_permission_deny)
+                                check_task=CheckTasks.check_auth_failure)
 
     def test_milvus_client_list_users(self, host, port):
         """
@@ -155,13 +147,13 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         user_name1 = cf.gen_unique_str(user_pre)
         user_name2 = cf.gen_unique_str(user_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name1, password=password)
+        self.create_user(client, user_name=user_name1, password=password)
-        self.high_level_api_wrap.create_user(user_name=user_name2, password=password)
+        self.create_user(client, user_name=user_name2, password=password)
-        res = self.high_level_api_wrap.list_users()[0]
+        res = self.list_users(client)[0]
         assert {ct.default_user, user_name1, user_name2}.issubset(set(res)) is True
 
     def test_milvus_client_describe_user(self, host, port):
@@ -171,19 +163,19 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         user_name = cf.gen_unique_str(user_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
         # describe one self
-        res, _ = self.high_level_api_wrap.describe_user(user_name=ct.default_user)
+        res, _ = self.describe_user(client, user_name=ct.default_user)
         assert res["user_name"] == ct.default_user
         # describe other users
-        res, _ = self.high_level_api_wrap.describe_user(user_name=user_name)
+        res, _ = self.describe_user(client, user_name=user_name)
         assert res["user_name"] == user_name
         # describe user that not exists
         user_not_exist = cf.gen_unique_str(user_pre)
-        res, _ = self.high_level_api_wrap.describe_user(user_name=user_not_exist)
+        res, _ = self.describe_user(client, user_name=user_not_exist)
         assert res == {}
 
     def test_milvus_client_create_role(self, host, port):
@@ -193,9 +185,9 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         role_name = cf.gen_unique_str(role_pre)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client, role_name=role_name)
 
     def test_milvus_client_drop_role(self, host, port):
         """
@@ -204,10 +196,10 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         role_name = cf.gen_unique_str(role_pre)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client, role_name=role_name)
-        self.high_level_api_wrap.drop_role(role_name=role_name)
+        self.drop_role(client, role_name=role_name)
 
     def test_milvus_client_describe_role(self, host, port):
         """
@@ -216,11 +208,11 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         role_name = cf.gen_unique_str(role_pre)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client, role_name=role_name)
         # describe a role that exists
-        self.high_level_api_wrap.describe_role(role_name=role_name)
+        self.describe_role(client, role_name=role_name)
 
     def test_milvus_client_list_roles(self, host, port):
         """
@@ -229,10 +221,10 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         role_name = cf.gen_unique_str(role_pre)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client, role_name=role_name)
-        res, _ = self.high_level_api_wrap.list_roles()
+        res, _ = self.list_roles(client)
         assert role_name in res
 
     def test_milvus_client_grant_role(self, host, port):
@@ -242,13 +234,13 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         user_name = cf.gen_unique_str(user_pre)
         role_name = cf.gen_unique_str(role_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client, role_name=role_name)
-        self.high_level_api_wrap.grant_role(user_name=user_name, role_name=role_name)
+        self.grant_role(client, user_name=user_name, role_name=role_name)
 
     def test_milvus_client_revoke_role(self, host, port):
         """
@@ -257,18 +249,19 @@ class TestMilvusClientRbacBase(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         user_name = cf.gen_unique_str(user_pre)
         role_name = cf.gen_unique_str(role_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client, role_name=role_name)
         # revoke a user that does not exist
-        self.high_level_api_wrap.revoke_role(user_name=user_name, role_name=role_name)
+        self.revoke_role(client, user_name=user_name, role_name=role_name)
         # revoke a user that exists
-        self.high_level_api_wrap.grant_role(user_name=user_name, role_name=role_name)
+        self.grant_role(client, user_name=user_name, role_name=role_name)
-        self.high_level_api_wrap.revoke_role(user_name=user_name, role_name=role_name)
+        self.revoke_role(client, user_name=user_name, role_name=role_name)
 
+    @pytest.mark.skip("TODO: need update for new privilege")
     def test_milvus_client_grant_privilege(self, host, port):
         """
         target: test milvus client api grant_privilege
@@ -277,29 +270,30 @@ class TestMilvusClientRbacBase(TestcaseBase):
         """
         # prepare a collection
         uri = f"http://{host}:{port}"
-        client_root, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client_root, _ = self.init_milvus_client(uri=uri, token=root_token)
         coll_name = cf.gen_unique_str()
-        client_w.create_collection(client_root, coll_name, default_dim, consistency_level="Strong")
+        self.create_collection(client_root, coll_name, default_dim, consistency_level="Strong")
 
         # create a new role and a new user ( no privilege)
         user_name = cf.gen_unique_str(user_pre)
         role_name = cf.gen_unique_str(role_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client_root, user_name=user_name, password=password)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client_root, role_name=role_name)
-        self.high_level_api_wrap.grant_role(user_name=user_name, role_name=role_name)
+        self.grant_role(client_root, user_name=user_name, role_name=role_name)
 
-        # check the role has no privilege of drop collection
+        # check the client role has no privilege of drop collection
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, user=user_name, password=password)
+        client, _ = self.init_milvus_client(uri=uri, user=user_name, password=password)
-        self.high_level_api_wrap.drop_collection(client, coll_name, check_task=CheckTasks.check_permission_deny)
+        self.drop_collection(client, coll_name, check_task=CheckTasks.check_permission_deny)
 
-        # grant the role with the privilege of drop collection
+        # client_root grants the role with the privilege of drop collection to the client role
-        self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        # self.init_milvus_client(uri=uri, token=root_token)
-        self.high_level_api_wrap.grant_privilege(role_name, "Global", "*", "DropCollection")
+        self.grant_privilege(client_root, role_name, "Global", "*", "DropCollection")
 
-        # check the role has privilege of drop collection
+        # check the client role has privilege of drop collection
-        self.high_level_api_wrap.drop_collection(client, coll_name)
+        self.drop_collection(client, coll_name)
 
+    @pytest.mark.skip("TODO: need update for new privilege")
     def test_milvus_client_revoke_privilege(self, host, port):
         """
         target: test milvus client api revoke_privilege
@@ -308,35 +302,36 @@ class TestMilvusClientRbacBase(TestcaseBase):
         """
         # prepare a collection
         uri = f"http://{host}:{port}"
-        client_root, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client_root, _ = self.init_milvus_client(uri=uri, token=root_token)
         coll_name = cf.gen_unique_str()
 
         # create a new role and a new user ( no privilege)
         user_name = cf.gen_unique_str(user_pre)
         role_name = cf.gen_unique_str(role_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client_root, user_name=user_name, password=password)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client_root, role_name=role_name)
-        self.high_level_api_wrap.grant_role(user_name=user_name, role_name=role_name)
+        self.grant_role(client_root, user_name=user_name, role_name=role_name)
-        self.high_level_api_wrap.grant_privilege(role_name, "Global", "*", "CreateCollection")
+        self.grant_privilege(client_root, role_name, "Global", "*", "CreateCollection")
         time.sleep(60)
 
         # check the role has privilege of create collection
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, user=user_name, password=password)
+        client, _ = self.init_milvus_client(uri=uri, user=user_name, password=password)
-        client_w.create_collection(client, coll_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, coll_name, default_dim, consistency_level="Strong")
 
         # revoke the role with the privilege of create collection
-        self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        # self.init_milvus_client(uri=uri, token=root_token)
-        self.high_level_api_wrap.revoke_privilege(role_name, "Global", "*", "CreateCollection")
+        self.revoke_privilege(client_root, role_name, "Global", "*", "CreateCollection")
 
         # check the role has no privilege of create collection
-        self.high_level_api_wrap.create_collection(client, coll_name, default_dim, consistency_level="Strong",
+        self.create_collection(client, coll_name, default_dim, consistency_level="Strong",
                                check_task=CheckTasks.check_permission_deny)
 
 
 @pytest.mark.tags(CaseLabel.RBAC)
-class TestMilvusClientRbacInvalid(TestcaseBase):
+class TestMilvusClientRbacInvalid(TestMilvusClientV2Base):
     """ Test case of rbac interface """
+
     def test_milvus_client_init_token_invalid(self, host, port):
         """
         target: test milvus client api token invalid
@@ -345,7 +340,7 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         """
         uri = f"http://{host}:{port}"
         wrong_token = root_token + "kk"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=wrong_token,
+        self.init_milvus_client(uri=uri, token=wrong_token,
                                 check_task=CheckTasks.check_auth_failure)
 
     def test_milvus_client_init_username_invalid(self, host, port):
@@ -356,7 +351,7 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         """
         uri = f"http://{host}:{port}"
         invalid_user_name = ct.default_user + "nn"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, user=invalid_user_name,
+        self.init_milvus_client(uri=uri, user=invalid_user_name,
                                 password=ct.default_password,
                                 check_task=CheckTasks.check_auth_failure)
 
@@ -368,7 +363,7 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         """
         uri = f"http://{host}:{port}"
         wrong_password = ct.default_password + "kk"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, user=ct.default_user,
+        self.init_milvus_client(uri=uri, user=ct.default_user,
                                 password=wrong_password,
                                 check_task=CheckTasks.check_auth_failure)
 
@@ -380,11 +375,13 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: raise exception
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
-        self.high_level_api_wrap.create_user(invalid_name, ct.default_password,
+        error_msg = "invalid user name"
+        if invalid_name == "":
+            error_msg = "username must be not empty"
+        self.create_user(client, invalid_name, ct.default_password,
                          check_task=CheckTasks.err_res,
-                                             check_items={ct.err_code: 1100,
+                         check_items={ct.err_code: 1100, ct.err_msg: error_msg})
-                                                          ct.err_msg: "invalid user name"})
 
     @pytest.mark.parametrize("invalid_name", [1, [], None, {}])
     def test_milvus_client_create_user_type_invalid(self, host, port, invalid_name):
@@ -394,11 +391,11 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: raise exception
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
-        self.high_level_api_wrap.create_user(invalid_name, ct.default_password,
+        error_msg = f"`user` value {invalid_name} is illegal"
+        self.create_user(client, invalid_name, ct.default_password,
                          check_task=CheckTasks.err_res,
-                                             check_items={ct.err_code: 1,
+                         check_items={ct.err_code: 1, ct.err_msg: error_msg})
-                                                          ct.err_msg: "invalid user name"})
 
     def test_milvus_client_create_user_exist(self, host, port):
         """
@@ -407,8 +404,8 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: raise exception
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
-        self.high_level_api_wrap.create_user("root", ct.default_password,
+        self.create_user(client, "root", ct.default_password,
                          check_task=CheckTasks.err_res,
                          check_items={ct.err_code: 65535,
                                       ct.err_msg: "user already exists: root"})
@@ -422,8 +419,8 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         """
         uri = f"http://{host}:{port}"
         user_name = cf.gen_unique_str(user_pre)
-        self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
-        self.high_level_api_wrap.create_user(user_name, invalid_password,
+        self.create_user(client, user_name, invalid_password,
                          check_task=CheckTasks.err_res,
                          check_items={ct.err_code: 1100,
                                       ct.err_msg: "invalid password"})
@@ -437,11 +434,12 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         """
         uri = f"http://{host}:{port}"
         user_name = cf.gen_unique_str(user_pre)
-        self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
-        self.high_level_api_wrap.create_user(user_name, invalid_password,
+        error_msg = f"`password` value {invalid_password} is illegal"
+        self.create_user(client, user_name, invalid_password,
                          check_task=CheckTasks.err_res,
                          check_items={ct.err_code: 1,
-                                                          ct.err_msg: "invalid password"})
+                                      ct.err_msg: error_msg})
 
     def test_milvus_client_update_password_user_not_exist(self, host, port):
         """
@@ -450,11 +448,11 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: raise exception
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
+        client, _ = self.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
         user_name = cf.gen_unique_str(user_pre)
         password = cf.gen_str_by_length()
         new_password = cf.gen_str_by_length()
-        self.high_level_api_wrap.update_password(user_name=user_name, old_password=password, new_password=new_password,
+        self.update_password(client, user_name=user_name, old_password=password, new_password=new_password,
                              check_task=CheckTasks.err_res,
                              check_items={ct.err_code: 1400,
                                           ct.err_msg: "old password not correct for %s: "
@@ -467,13 +465,13 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
+        client, _ = self.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
         user_name = cf.gen_unique_str(user_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
         new_password = cf.gen_str_by_length()
         wrong_password = password + 'kk'
-        self.high_level_api_wrap.update_password(user_name=user_name, old_password=wrong_password,
+        self.update_password(client, user_name=user_name, old_password=wrong_password,
                              new_password=new_password, check_task=CheckTasks.err_res,
                              check_items={ct.err_code: 1400,
                                           ct.err_msg: "old password not correct for %s: "
@@ -486,11 +484,11 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
+        client, _ = self.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
         user_name = cf.gen_unique_str(user_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
-        self.high_level_api_wrap.update_password(user_name=user_name, old_password=password, new_password=password)
+        self.update_password(client, user_name=user_name, old_password=password, new_password=password)
 
     @pytest.mark.parametrize("invalid_password", ["", "0", "p@ss", "h h", "1+1=2"])
     def test_milvus_client_update_password_new_password_invalid(self, host, port, invalid_password):
@@ -500,11 +498,11 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        self.high_level_api_wrap.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
+        client, _ = self.init_milvus_client(uri=uri, user=ct.default_user, password=ct.default_password)
         user_name = cf.gen_unique_str(user_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
-        self.high_level_api_wrap.update_password(user_name=user_name, old_password=password,
+        self.update_password(client, user_name=user_name, old_password=password,
                              new_password=invalid_password, check_task=CheckTasks.err_res,
                              check_items={ct.err_code: 1100,
                                           ct.err_msg: "invalid password"})
@@ -516,17 +514,13 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: raise exception
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         role_name = cf.gen_unique_str(role_pre)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client, role_name=role_name)
-        # create existed role
+        # create existed role and system reserved role
-        error_msg = f"role [name:{role_pre}] already exists"
+        for name in ["admin", "public", role_name]:
-        self.high_level_api_wrap.create_role(role_name=role_name, check_task=CheckTasks.err_res,
+            error_msg = f'role [name:"{name}"] already exists'
-                                             check_items={ct.err_code: 65535, ct.err_msg: error_msg})
+            self.create_role(client, role_name=name, check_task=CheckTasks.err_res,
-        # create role public or admin
-        self.high_level_api_wrap.create_role(role_name="public", check_task=CheckTasks.err_res,
-                                             check_items={ct.err_code: 65535, ct.err_msg: error_msg})
-        self.high_level_api_wrap.create_role(role_name="admin", check_task=CheckTasks.err_res,
                              check_items={ct.err_code: 65535, ct.err_msg: error_msg})
 
     def test_milvus_client_drop_role_invalid(self, host, port):
@@ -536,9 +530,9 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: raise exception
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         role_name = cf.gen_unique_str(role_pre)
-        self.high_level_api_wrap.drop_role(role_name=role_name, check_task=CheckTasks.err_res,
+        self.drop_role(client, role_name=role_name, check_task=CheckTasks.err_res,
                        check_items={ct.err_code: 65535,
                                     ct.err_msg: "not found the role, maybe the role isn't "
                                                 "existed or internal system error"})
@@ -550,11 +544,11 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: raise exception
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         # describe a role that does not exist
         role_not_exist = cf.gen_unique_str(role_pre)
         error_msg = "not found the role, maybe the role isn't existed or internal system error"
-        self.high_level_api_wrap.describe_role(role_name=role_not_exist, check_task=CheckTasks.err_res,
+        self.describe_role(client, role_name=role_not_exist, check_task=CheckTasks.err_res,
                            check_items={ct.err_code: 65535, ct.err_msg: error_msg})
 
     def test_milvus_client_grant_role_user_not_exist(self, host, port):
@@ -564,11 +558,11 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         user_name = cf.gen_unique_str(user_pre)
         role_name = cf.gen_unique_str(role_pre)
-        self.high_level_api_wrap.create_role(role_name=role_name)
+        self.create_role(client, role_name=role_name)
-        self.high_level_api_wrap.grant_role(user_name=user_name, role_name=role_name,
+        self.grant_role(client, user_name=user_name, role_name=role_name,
                         check_task=CheckTasks.err_res,
                         check_items={ct.err_code: 65536,
                                      ct.err_msg: "not found the user, maybe the user "
@@ -581,12 +575,12 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
         expected: succeed
         """
         uri = f"http://{host}:{port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
         user_name = cf.gen_unique_str(user_pre)
         role_name = cf.gen_unique_str(role_pre)
         password = cf.gen_str_by_length()
-        self.high_level_api_wrap.create_user(user_name=user_name, password=password)
+        self.create_user(client, user_name=user_name, password=password)
-        self.high_level_api_wrap.grant_role(user_name=user_name, role_name=role_name,
+        self.grant_role(client, user_name=user_name, role_name=role_name,
                         check_task=CheckTasks.err_res,
                         check_items={ct.err_code: 65536,
                                      ct.err_msg: "not found the role, maybe the role "
@@ -594,7 +588,7 @@ class TestMilvusClientRbacInvalid(TestcaseBase):
 
 
 @pytest.mark.tags(CaseLabel.RBAC)
-class TestMilvusClientRbacAdvance(TestcaseBase):
+class TestMilvusClientRbacAdvance(TestMilvusClientV2Base):
     """ Test case of rbac interface """
 
     def teardown_method(self, method):
@@ -603,27 +597,27 @@ class TestMilvusClientRbacAdvance(TestcaseBase):
         """
         log.info("[utility_teardown_method] Start teardown utility test cases ...")
         uri = f"http://{cf.param_info.param_host}:{cf.param_info.param_port}"
-        client, _ = self.high_level_api_wrap.init_milvus_client(uri=uri, token=root_token)
+        client, _ = self.init_milvus_client(uri=uri, token=root_token)
 
         # drop users
-        users, _ = self.high_level_api_wrap.list_users()
+        users, _ = self.list_users(client)
         for user in users:
             if user != ct.default_user:
-                self.high_level_api_wrap.drop_user(user)
+                self.drop_user(client, user)
-        users, _ = self.high_level_api_wrap.list_users()
+        users, _ = self.list_users(client)
         assert len(users) == 1
 
         # drop roles
-        roles, _ = self.high_level_api_wrap.list_roles()
+        roles, _ = self.list_roles(client)
         for role in roles:
             if role not in ['admin', 'public']:
-                privileges, _ = self.high_level_api_wrap.describe_role(role)
+                privileges, _ = self.describe_role(client, role)
                 if privileges:
                     for privilege in privileges:
-                        self.high_level_api_wrap.revoke_privilege(role, privilege["object_type"],
+                        self.revoke_privilege(client, role, privilege["object_type"],
                                               privilege["privilege"], privilege["object_name"])
-                self.high_level_api_wrap.drop_role(role)
+                self.drop_role(client, role)
-        roles, _ = self.high_level_api_wrap.list_roles()
+        roles, _ = self.list_roles(client)
         assert len(roles) == 2
 
         super().teardown_method(method)

tests/python_client/milvus_client/test_milvus_client_search.py

@@ -1,28 +1,15 @@
-import multiprocessing
-import numbers
-import random
-import numpy
-import threading
 import pytest
-import pandas as pd
-import decimal
-from decimal import Decimal, getcontext
-from time import sleep
-import heapq
 
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
 from utils.util_log import test_log as log
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
 from utils.util_pymilvus import *
 from common.constants import *
-from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
 from pymilvus import DataType
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
 
-prefix = "milvus_client_api_search"
+prefix = "client_search"
 epsilon = ct.epsilon
 default_nb = ct.default_nb
 default_nb_medium = ct.default_nb_medium
@@ -47,7 +34,7 @@ default_int32_array_field_name = ct.default_int32_array_field_name
 default_string_array_field_name = ct.default_string_array_field_name
 
 
-class TestMilvusClientSearchInvalid(TestcaseBase):
+class TestMilvusClientSearchInvalid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -72,11 +59,11 @@ class TestMilvusClientSearchInvalid(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
         error = {ct.err_code: 1, ct.err_msg: f"Param id_type must be int or string"}
-        client_w.create_collection(client, collection_name, default_dim, id_type="invalid",
+        self.create_collection(client, collection_name, default_dim, id_type="invalid",
                                check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -86,12 +73,12 @@ class TestMilvusClientSearchInvalid(TestcaseBase):
         method: create collection with auto id on string primary key
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
         error = {ct.err_code: 65535, ct.err_msg: f"type param(max_length) should be specified for varChar "
                                                  f"field of collection {collection_name}"}
-        client_w.create_collection(client, collection_name, default_dim, id_type="string", auto_id=True,
+        self.create_collection(client, collection_name, default_dim, id_type="string", auto_id=True,
                                check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -102,18 +89,18 @@ class TestMilvusClientSearchInvalid(TestcaseBase):
         expected: 1. Successfully to create collection with same params
                   2. Report errors for creating collection with same name and different params
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. create collection with same params
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 3. create collection with same name and different params
         error = {ct.err_code: 1, ct.err_msg: f"create duplicate collection with different parameters, "
                                              f"collection: {collection_name}"}
-        client_w.create_collection(client, collection_name, default_dim+1,
+        self.create_collection(client, collection_name, default_dim + 1,
                                check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_collection_invalid_metric_type(self):
@@ -122,13 +109,13 @@ class TestMilvusClientSearchInvalid(TestcaseBase):
         method: create collection with auto id on string primary key
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
         error = {ct.err_code: 1100,
                  ct.err_msg: "float vector index does not support metric type: invalid: "
                              "invalid parameter[expected=valid index params][actual=invalid index params]"}
-        client_w.create_collection(client, collection_name, default_dim, metric_type="invalid",
+        self.create_collection(client, collection_name, default_dim, metric_type="invalid",
                                check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -139,23 +126,23 @@ class TestMilvusClientSearchInvalid(TestcaseBase):
         method: create connection, collection, insert and search with not consistent metric type
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim)
+        self.create_collection(client, collection_name, default_dim)
         # 2. search
         rng = np.random.default_rng(seed=19530)
         vectors_to_search = rng.random((1, 8))
         search_params = {"metric_type": metric_type}
         error = {ct.err_code: 1100,
                  ct.err_msg: f"metric type not match: invalid parameter[expected=IP][actual={metric_type}]"}
-        client_w.search(client, collection_name, vectors_to_search, limit=default_limit,
+        self.search(client, collection_name, vectors_to_search, limit=default_limit,
                     search_params=search_params,
                     check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
 
-class TestMilvusClientSearchValid(TestcaseBase):
+class TestMilvusClientSearchValid(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -179,14 +166,14 @@ class TestMilvusClientSearchValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
-        client_w.using_database(client, "default")
+        self.using_database(client, "default")
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Bounded")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Bounded")
-        collections = client_w.list_collections(client)[0]
+        collections = self.list_collections(client)[0]
         assert collection_name in collections
-        client_w.describe_collection(client, collection_name,
+        self.describe_collection(client, collection_name,
                                  check_task=CheckTasks.check_describe_collection_property,
                                  check_items={"collection_name": collection_name,
                                               "dim": default_dim,
@@ -195,26 +182,26 @@ class TestMilvusClientSearchValid(TestcaseBase):
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
-        client_w.flush(client, collection_name)
+        self.flush(client, collection_name)
-        # assert client_w.num_entities(client, collection_name)[0] == default_nb
+        # assert self.num_entities(client, collection_name)[0] == default_nb
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 4. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.release_collection(client, collection_name)
+        self.release_collection(client, collection_name)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.skip(reason="issue #36484")
@@ -225,27 +212,29 @@ class TestMilvusClientSearchValid(TestcaseBase):
         method: create collection
         expected: create collection with default schema, index, and load successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         dim = 128
         # 1. create collection
-        schema = client_w.create_schema(client, enable_dynamic_field=False)[0]
+        schema = self.create_schema(client, enable_dynamic_field=False)[0]
-        schema.add_field(default_primary_key_field_name, DataType.VARCHAR, max_length=64, is_primary=True, auto_id = False)
+        schema.add_field(default_primary_key_field_name, DataType.VARCHAR, max_length=64, is_primary=True,
+                         auto_id=False)
         schema.add_field(default_vector_field_name, DataType.FLOAT_VECTOR, dim=dim)
         schema.add_field(default_string_field_name, DataType.VARCHAR, max_length=64, is_partition_key=True)
         schema.add_field("nullable_field", DataType.INT64, nullable=True, default_value=10)
         schema.add_field("array_field", DataType.ARRAY, element_type=DataType.INT64, max_capacity=12,
                          max_length=64, nullable=True)
-        index_params = client_w.prepare_index_params(client)[0]
+        index_params = self.prepare_index_params(client)[0]
         index_params.add_index(default_vector_field_name, metric_type="COSINE")
-        client_w.create_collection(client, collection_name, dimension=dim, schema=schema, index_params=index_params)
+        self.create_collection(client, collection_name, dimension=dim, schema=schema, index_params=index_params)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
-        rows = [{default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
+        rows = [
+            {default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
              default_string_field_name: str(i), "nullable_field": None, "array_field": None} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
-        if client_w.has_collection(client, collection_name)[0]:
+        if self.has_collection(client, collection_name)[0]:
-            client_w.drop_collection(client, collection_name)
+            self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_rename_search_query_default(self):
@@ -254,44 +243,44 @@ class TestMilvusClientSearchValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Bounded")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Bounded")
-        collections = client_w.list_collections(client)[0]
+        collections = self.list_collections(client)[0]
         assert collection_name in collections
-        client_w.describe_collection(client, collection_name,
+        self.describe_collection(client, collection_name,
                                  check_task=CheckTasks.check_describe_collection_property,
                                  check_items={"collection_name": collection_name,
                                               "dim": default_dim,
                                               "consistency_level": 0})
         old_name = collection_name
         new_name = collection_name + "new"
-        client_w.rename_collection(client, old_name, new_name)
+        self.rename_collection(client, old_name, new_name)
         # 2. insert
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, new_name, rows)
+        self.insert(client, new_name, rows)
-        client_w.flush(client, new_name)
+        self.flush(client, new_name)
-        # assert client_w.num_entities(client, collection_name)[0] == default_nb
+        # assert self.num_entities(client, collection_name)[0] == default_nb
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, new_name, vectors_to_search,
+        self.search(client, new_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 4. query
-        client_w.query(client, new_name, filter=default_search_exp,
+        self.query(client, new_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.release_collection(client, new_name)
+        self.release_collection(client, new_name)
-        client_w.drop_collection(client, new_name)
+        self.drop_collection(client, new_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_array_insert_search(self):
@@ -300,11 +289,11 @@ class TestMilvusClientSearchValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        collections = client_w.list_collections(client)[0]
+        collections = self.list_collections(client)[0]
         assert collection_name in collections
         # 2. insert
         rng = np.random.default_rng(seed=19530)
@@ -312,14 +301,14 @@ class TestMilvusClientSearchValid(TestcaseBase):
             default_primary_key_field_name: i,
             default_vector_field_name: list(rng.random((1, default_dim))[0]),
             default_float_field_name: i * 1.0,
-            default_int32_array_field_name: [i, i+1, i+2],
+            default_int32_array_field_name: [i, i + 1, i + 2],
             default_string_array_field_name: [str(i), str(i + 1), str(i + 2)]
         } for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
@@ -334,36 +323,36 @@ class TestMilvusClientSearchValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
+        self.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
-        client_w.describe_collection(client, collection_name,
+        self.describe_collection(client, collection_name,
                                  check_task=CheckTasks.check_describe_collection_property,
                                  check_items={"collection_name": collection_name,
-                                                  "dim": default_dim,
+                                              "dim": default_dim})
-                                                  "auto_id": auto_id})
         # 2. insert
         rng = np.random.default_rng(seed=19530)
-        rows = [{default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
+        rows = [
+            {default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
              default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
-        client_w.flush(client, collection_name)
+        self.flush(client, collection_name)
-        assert client_w.num_entities(client, collection_name)[0] == default_nb
+        assert self.num_entities(client, collection_name)[0] == default_nb
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "limit": default_limit})
         # 4. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_milvus_client_search_different_metric_types_not_specifying_in_search_params(self, metric_type, auto_id):
@@ -372,10 +361,10 @@ class TestMilvusClientSearchValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search successfully with limit(topK)
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, metric_type=metric_type, auto_id=auto_id,
+        self.create_collection(client, collection_name, default_dim, metric_type=metric_type, auto_id=auto_id,
                                consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
@@ -384,17 +373,17 @@ class TestMilvusClientSearchValid(TestcaseBase):
         if auto_id:
             for row in rows:
                 row.pop(default_primary_key_field_name)
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         # search_params = {"metric_type": metric_type}
-        client_w.search(client, collection_name, vectors_to_search, limit=default_limit,
+        self.search(client, collection_name, vectors_to_search, limit=default_limit,
                     output_fields=[default_primary_key_field_name],
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "limit": default_limit})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.skip("pymilvus issue #1866")
@@ -404,10 +393,10 @@ class TestMilvusClientSearchValid(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search successfully with limit(topK)
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, metric_type=metric_type, auto_id=auto_id,
+        self.create_collection(client, collection_name, default_dim, metric_type=metric_type, auto_id=auto_id,
                                consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
@@ -416,18 +405,18 @@ class TestMilvusClientSearchValid(TestcaseBase):
         if auto_id:
             for row in rows:
                 row.pop(default_primary_key_field_name)
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         search_params = {"metric_type": metric_type}
-        client_w.search(client, collection_name, vectors_to_search, limit=default_limit,
+        self.search(client, collection_name, vectors_to_search, limit=default_limit,
                     search_params=search_params,
                     output_fields=[default_primary_key_field_name],
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "limit": default_limit})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_delete_with_ids(self):
@@ -436,19 +425,19 @@ class TestMilvusClientSearchValid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        pks = client_w.insert(client, collection_name, rows)[0]
+        pks = self.insert(client, collection_name, rows)[0]
         # 3. delete
         delete_num = 3
-        client_w.delete(client, collection_name, ids=[i for i in range(delete_num)])
+        self.delete(client, collection_name, ids=[i for i in range(delete_num)])
         # 4. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
@@ -456,19 +445,19 @@ class TestMilvusClientSearchValid(TestcaseBase):
             if insert_id in insert_ids:
                 insert_ids.remove(insert_id)
         limit = default_nb - delete_num
-        client_w.search(client, collection_name, vectors_to_search, limit=default_nb,
+        self.search(client, collection_name, vectors_to_search, limit=default_nb,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": limit})
         # 5. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows[delete_num:],
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_milvus_client_delete_with_filters(self):
@@ -477,19 +466,19 @@ class TestMilvusClientSearchValid(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        pks = client_w.insert(client, collection_name, rows)[0]
+        pks = self.insert(client, collection_name, rows)[0]
         # 3. delete
         delete_num = 3
-        client_w.delete(client, collection_name, filter=f"id < {delete_num}")
+        self.delete(client, collection_name, filter=f"id < {delete_num}")
         # 4. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
@@ -497,16 +486,69 @@ class TestMilvusClientSearchValid(TestcaseBase):
             if insert_id in insert_ids:
                 insert_ids.remove(insert_id)
         limit = default_nb - delete_num
-        client_w.search(client, collection_name, vectors_to_search, limit=default_nb,
+        self.search(client, collection_name, vectors_to_search, limit=default_nb,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": limit})
         # 5. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows[delete_num:],
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
+
+    @pytest.mark.tags(CaseLabel.L1)
+    def test_client_search_with_iterative_filter(self):
+        """
+        target: test search with iterative filter
+        method: create connection, collection, insert, search with iterative filter
+        expected: search successfully
+        """
+        client = self._client()
+        collection_name = cf.gen_unique_str(prefix)
+        # 1. create collection
+        schema = self.create_schema(client, enable_dynamic_field=False)[0]
+        dim = 32
+        pk_field_name = 'id'
+        vector_field_name = 'embeddings'
+        str_field_name = 'title'
+        json_field_name = 'json_field'
+        max_length = 16
+        schema.add_field(pk_field_name, DataType.INT64, is_primary=True, auto_id=False)
+        schema.add_field(vector_field_name, DataType.FLOAT_VECTOR, dim=dim)
+        schema.add_field(str_field_name, DataType.VARCHAR, max_length=max_length)
+        schema.add_field(json_field_name, DataType.JSON)
+
+        index_params = self.prepare_index_params(client)[0]
+        index_params.add_index(field_name=vector_field_name, metric_type="COSINE",
+                               index_type="IVF_FLAT", params={"nlist": 128})
+        index_params.add_index(field_name=str_field_name)
+        self.create_collection(client, collection_name, schema=schema, index_params=index_params)
+
+        rng = np.random.default_rng(seed=19530)
+        rows = [{
+            pk_field_name: i,
+            vector_field_name: list(rng.random((1, dim))[0]),
+            str_field_name: cf.gen_str_by_length(max_length),
+            json_field_name: {"number": i}
+        } for i in range(default_nb)]
+        self.insert(client, collection_name, rows)
+        self.flush(client, collection_name)
+        self.load_collection(client, collection_name)
+
+        # 3. search
+        search_vector = list(rng.random((1, dim))[0])
+        search_params = {'hints': "iterative_filter",
+                         'params': cf.get_search_params_params('IVF_FLAT')}
+        self.search(client, collection_name, data=[search_vector], filter='id >= 10',
+                    search_params=search_params, limit=default_limit)
+        not_supported_hints = "not_supported_hints"
+        error = {ct.err_code: 0,
+                 ct.err_msg: f"Create Plan by expr failed:  => hints: {not_supported_hints} not supported"}
+        search_params = {'hints': not_supported_hints,
+                         'params': cf.get_search_params_params('IVF_FLAT')}
+        self.search(client, collection_name, data=[search_vector], filter='id >= 10',
+                    search_params=search_params, check_task=CheckTasks.err_res, check_items=error)

tests/python_client/requirements.txt

@@ -28,8 +28,8 @@ pytest-parallel
 pytest-random-order
 
 # pymilvus
-pymilvus==2.5.2rc3
+pymilvus==2.6.0rc44
-pymilvus[bulk_writer]==2.5.2rc3
+pymilvus[bulk_writer]==2.6.0rc44
 
 
 # for customize config test

tests/python_client/testcases/async_milvus_client/test_e2e_async.py

@@ -5,23 +5,23 @@ import asyncio
 from pymilvus.client.types import LoadState, DataType
 from pymilvus import AnnSearchRequest, RRFRanker
 
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
 from utils.util_log import test_log as log
 
 pytestmark = pytest.mark.asyncio
-
 prefix = "async"
 async_default_nb = 5000
 default_pk_name = "id"
 default_vector_name = "vector"
 
 
-class TestAsyncMilvusClient(TestcaseBase):
+class TestAsyncMilvusClient(TestMilvusClientV2Base):
 
     def teardown_method(self, method):
+        self.init_async_milvus_client()
         loop = asyncio.get_event_loop()
         loop.run_until_complete(self.async_milvus_client_wrap.close())
         super().teardown_method(method)
@@ -29,13 +29,13 @@ class TestAsyncMilvusClient(TestcaseBase):
     @pytest.mark.tags(CaseLabel.L0)
     async def test_async_client_default(self):
         # init client
-        milvus_client = self._connect(enable_milvus_client_api=True)
+        milvus_client = self._client()
         self.init_async_milvus_client()
 
         # create collection
         c_name = cf.gen_unique_str(prefix)
         await self.async_milvus_client_wrap.create_collection(c_name, dimension=ct.default_dim)
-        collections, _ = self.high_level_api_wrap.list_collections(milvus_client)
+        collections, _ = self.list_collections(milvus_client)
         assert c_name in collections
 
         # insert entities
@@ -116,17 +116,17 @@ class TestAsyncMilvusClient(TestcaseBase):
     @pytest.mark.tags(CaseLabel.L0)
     async def test_async_client_partition(self):
         # init client
-        milvus_client = self._connect(enable_milvus_client_api=True)
+        milvus_client = self._client()
         self.init_async_milvus_client()
 
         # create collection & partition
         c_name = cf.gen_unique_str(prefix)
         p_name = cf.gen_unique_str("par")
         await self.async_milvus_client_wrap.create_collection(c_name, dimension=ct.default_dim)
-        collections, _ = self.high_level_api_wrap.list_collections(milvus_client)
+        collections, _ = self.list_collections(milvus_client)
         assert c_name in collections
-        self.high_level_api_wrap.create_partition(milvus_client, c_name, p_name)
+        self.create_partition(milvus_client, c_name, p_name)
-        partitions, _ = self.high_level_api_wrap.list_partitions(milvus_client, c_name)
+        partitions, _ = self.list_partitions(milvus_client, c_name)
         assert p_name in partitions
 
         # insert entities
@@ -216,7 +216,7 @@ class TestAsyncMilvusClient(TestcaseBase):
     @pytest.mark.tags(CaseLabel.L0)
     async def test_async_client_with_schema(self, schema):
         # init client
-        milvus_client = self._connect(enable_milvus_client_api=True)
+        milvus_client = self._client()
         self.init_async_milvus_client()
 
         # create collection
@@ -228,7 +228,7 @@ class TestAsyncMilvusClient(TestcaseBase):
         schema.add_field(ct.default_float_vec_field_name, DataType.FLOAT_VECTOR, dim=ct.default_dim)
         schema.add_field(default_vector_name, DataType.FLOAT_VECTOR, dim=ct.default_dim)
         await self.async_milvus_client_wrap.create_collection(c_name, schema=schema)
-        collections, _ = self.high_level_api_wrap.list_collections(milvus_client)
+        collections, _ = self.list_collections(milvus_client)
         assert c_name in collections
 
         # insert entities
@@ -251,12 +251,12 @@ class TestAsyncMilvusClient(TestcaseBase):
             assert r[0]['insert_count'] == step
 
         # flush
-        self.high_level_api_wrap.flush(milvus_client, c_name)
+        self.flush(milvus_client, c_name)
-        stats, _ = self.high_level_api_wrap.get_collection_stats(milvus_client, c_name)
+        stats, _ = self.get_collection_stats(milvus_client, c_name)
         assert stats["row_count"] == async_default_nb
 
         # create index -> load
-        index_params, _ = self.high_level_api_wrap.prepare_index_params(milvus_client,
+        index_params, _ = self.prepare_index_params(milvus_client,
                                                                         field_name=ct.default_float_vec_field_name,
                                                                         index_type="HNSW", metric_type="COSINE", M=30,
                                                                         efConstruction=200)
@@ -265,10 +265,10 @@ class TestAsyncMilvusClient(TestcaseBase):
         await self.async_milvus_client_wrap.create_index(c_name, index_params)
         await self.async_milvus_client_wrap.load_collection(c_name)
 
-        _index, _ = self.high_level_api_wrap.describe_index(milvus_client, c_name, default_vector_name)
+        _index, _ = self.describe_index(milvus_client, c_name, default_vector_name)
         assert _index["indexed_rows"] == async_default_nb
         assert _index["state"] == "Finished"
-        _load, _ = self.high_level_api_wrap.get_load_state(milvus_client, c_name)
+        _load, _ = self.get_load_state(milvus_client, c_name)
         assert _load["state"] == LoadState.Loaded
 
         # dql tasks
@@ -320,13 +320,13 @@ class TestAsyncMilvusClient(TestcaseBase):
     @pytest.mark.tags(CaseLabel.L0)
     async def test_async_client_dml(self):
         # init client
-        milvus_client = self._connect(enable_milvus_client_api=True)
+        milvus_client = self._client()
         self.init_async_milvus_client()
 
         # create collection
         c_name = cf.gen_unique_str(prefix)
         await self.async_milvus_client_wrap.create_collection(c_name, dimension=ct.default_dim)
-        collections, _ = self.high_level_api_wrap.list_collections(milvus_client)
+        collections, _ = self.list_collections(milvus_client)
         assert c_name in collections
 
         # insert entities
@@ -377,10 +377,10 @@ class TestAsyncMilvusClient(TestcaseBase):
     @pytest.mark.tags(CaseLabel.L2)
     async def test_async_client_with_db(self):
         # init client
-        milvus_client = self._connect(enable_milvus_client_api=True)
+        milvus_client = self._client()
         db_name = cf.gen_unique_str("db")
-        self.high_level_api_wrap.create_database(milvus_client, db_name)
+        self.create_database(milvus_client, db_name)
-        self.high_level_api_wrap.close(milvus_client)
+        self.close(milvus_client)
         uri = cf.param_info.param_uri or f"http://{cf.param_info.param_host}:{cf.param_info.param_port}"
         milvus_client, _ = self.connection_wrap.MilvusClient(uri=uri, db_name=db_name)
         self.async_milvus_client_wrap.init_async_client(uri, db_name=db_name)
@@ -388,7 +388,7 @@ class TestAsyncMilvusClient(TestcaseBase):
         # create collection
         c_name = cf.gen_unique_str(prefix)
         await self.async_milvus_client_wrap.create_collection(c_name, dimension=ct.default_dim)
-        collections, _ = self.high_level_api_wrap.list_collections(milvus_client)
+        collections, _ = self.list_collections(milvus_client)
         assert c_name in collections
 
         # insert entities
@@ -458,7 +458,7 @@ class TestAsyncMilvusClient(TestcaseBase):
     @pytest.mark.skip("connect with zilliz cloud")
     async def test_async_client_with_token(self):
         # init client
-        milvus_client = self._connect(enable_milvus_client_api=True)
+        milvus_client = self._client()
         uri = cf.param_info.param_uri or f"http://{cf.param_info.param_host}:{cf.param_info.param_port}"
         token = cf.param_info.param_token
         milvus_client, _ = self.connection_wrap.MilvusClient(uri=uri, token=token)
@@ -467,7 +467,7 @@ class TestAsyncMilvusClient(TestcaseBase):
         # create collection
         c_name = cf.gen_unique_str(prefix)
         await self.async_milvus_client_wrap.create_collection(c_name, dimension=ct.default_dim)
-        collections, _ = self.high_level_api_wrap.list_collections(milvus_client)
+        collections, _ = self.list_collections(milvus_client)
         assert c_name in collections
 
         # insert entities

tests/python_client/testcases/test_high_level_api.py

@@ -1,25 +1,12 @@
-import multiprocessing
-import numbers
-import random
-import numpy
-import threading
 import pytest
-import pandas as pd
-import decimal
-from decimal import Decimal, getcontext
-from time import sleep
-import heapq
 
-from base.client_base import TestcaseBase
+from base.client_v2_base import TestMilvusClientV2Base
 from utils.util_log import test_log as log
 from common import common_func as cf
 from common import common_type as ct
 from common.common_type import CaseLabel, CheckTasks
 from utils.util_pymilvus import *
 from common.constants import *
-from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
-from base.high_level_api_wrapper import HighLevelApiWrapper
-client_w = HighLevelApiWrapper()
 
 prefix = "high_level_api"
 epsilon = ct.epsilon
@@ -46,7 +33,7 @@ default_int32_array_field_name = ct.default_int32_array_field_name
 default_string_array_field_name = ct.default_string_array_field_name
 
 
-class TestHighLevelApi(TestcaseBase):
+class TestHighLevelApi(TestMilvusClientV2Base):
     """ Test case of search interface """
 
     @pytest.fixture(scope="function", params=[False, True])
@@ -71,11 +58,11 @@ class TestHighLevelApi(TestcaseBase):
         method: create collection with invalid primary field
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
         error = {ct.err_code: 1, ct.err_msg: f"Param id_type must be int or string"}
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong",
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong",
                                id_type="invalid", check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -85,12 +72,12 @@ class TestHighLevelApi(TestcaseBase):
         method: create collection with auto id on string primary key
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
         error = {ct.err_code: 65535, ct.err_msg: f"type param(max_length) should be specified for varChar "
                                                  f"field of collection {collection_name}"}
-        client_w.create_collection(client, collection_name, default_dim, id_type="string", auto_id=True,
+        self.create_collection(client, collection_name, default_dim, id_type="string", auto_id=True,
                                check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L1)
@@ -101,18 +88,18 @@ class TestHighLevelApi(TestcaseBase):
         expected: 1. Successfully to create collection with same params
                   2. Report errors for creating collection with same name and different params
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. create collection with same params
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 3. create collection with same name and different params
         error = {ct.err_code: 1, ct.err_msg: f"create duplicate collection with different parameters, "
                                              f"collection: {collection_name}"}
-        client_w.create_collection(client, collection_name, default_dim+1, consistency_level="Strong",
+        self.create_collection(client, collection_name, default_dim + 1, consistency_level="Strong",
                                check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_high_level_collection_invalid_metric_type(self):
@@ -121,12 +108,12 @@ class TestHighLevelApi(TestcaseBase):
         method: create collection with auto id on string primary key
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
         error = {ct.err_code: 65535,
                  ct.err_msg: "float vector index does not support metric type: invalid: invalid parameter"}
-        client_w.create_collection(client, collection_name, default_dim, metric_type="invalid",
+        self.create_collection(client, collection_name, default_dim, metric_type="invalid",
                                check_task=CheckTasks.err_res, check_items=error)
 
     @pytest.mark.tags(CaseLabel.L2)
@@ -137,20 +124,20 @@ class TestHighLevelApi(TestcaseBase):
         method: create connection, collection, insert and search with not consistent metric type
         expected: Raise exception
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. search
         rng = np.random.default_rng(seed=19530)
         vectors_to_search = rng.random((1, 8))
         search_params = {"metric_type": metric_type}
         error = {ct.err_code: 1100,
                  ct.err_msg: f"metric type not match: invalid parameter[expected=IP][actual={metric_type}]"}
-        client_w.search(client, collection_name, vectors_to_search, limit=default_limit,
+        self.search(client, collection_name, vectors_to_search, limit=default_limit,
                     search_params=search_params,
                     check_task=CheckTasks.err_res, check_items=error)
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     """
     ******************************************************************
@@ -165,13 +152,13 @@ class TestHighLevelApi(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        collections = client_w.list_collections(client)[0]
+        collections = self.list_collections(client)[0]
         assert collection_name in collections
-        client_w.describe_collection(client, collection_name,
+        self.describe_collection(client, collection_name,
                                  check_task=CheckTasks.check_describe_collection_property,
                                  check_items={"collection_name": collection_name,
                                               "dim": default_dim, "consistency_level": 0})
@@ -179,12 +166,12 @@ class TestHighLevelApi(TestcaseBase):
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
 
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
 
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
@@ -192,12 +179,12 @@ class TestHighLevelApi(TestcaseBase):
                                  "ids": insert_ids,
                                  "limit": default_limit})
         # 4. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_high_level_array_insert_search(self):
@@ -206,11 +193,11 @@ class TestHighLevelApi(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
-        collections = client_w.list_collections(client)[0]
+        collections = self.list_collections(client)[0]
         assert collection_name in collections
         # 2. insert
         rng = np.random.default_rng(seed=19530)
@@ -218,15 +205,15 @@ class TestHighLevelApi(TestcaseBase):
             default_primary_key_field_name: i,
             default_vector_field_name: list(rng.random((1, default_dim))[0]),
             default_float_field_name: i * 1.0,
-            default_int32_array_field_name: [i, i+1, i+2],
+            default_int32_array_field_name: [i, i + 1, i + 2],
             default_string_array_field_name: [str(i), str(i + 1), str(i + 2)]
         } for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
 
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
@@ -241,36 +228,36 @@ class TestHighLevelApi(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search/query successfully
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, id_type="string",
+        self.create_collection(client, collection_name, default_dim, id_type="string",
                                max_length=ct.default_length, consistency_level="Strong")
-        client_w.describe_collection(client, collection_name,
+        self.describe_collection(client, collection_name,
                                  check_task=CheckTasks.check_describe_collection_property,
                                  check_items={"collection_name": collection_name,
-                                                  "dim": default_dim,
+                                              "dim": default_dim})
-                                                  "auto_id": auto_id})
         # 2. insert
         rng = np.random.default_rng(seed=19530)
-        rows = [{default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
+        rows = [
+            {default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
              default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
 
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
-        client_w.search(client, collection_name, vectors_to_search,
+        self.search(client, collection_name, vectors_to_search,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "limit": default_limit})
         # 4. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows,
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L2)
     def test_high_level_search_different_metric_types(self, metric_type, auto_id):
@@ -279,10 +266,10 @@ class TestHighLevelApi(TestcaseBase):
         method: create connection, collection, insert and search
         expected: search successfully with limit(topK)
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, metric_type=metric_type,
+        self.create_collection(client, collection_name, default_dim, metric_type=metric_type,
                                auto_id=auto_id, consistency_level="Strong")
         # 2. insert
         rng = np.random.default_rng(seed=19530)
@@ -291,19 +278,19 @@ class TestHighLevelApi(TestcaseBase):
         if auto_id:
             for row in rows:
                 row.pop(default_primary_key_field_name)
-        client_w.insert(client, collection_name, rows)
+        self.insert(client, collection_name, rows)
 
         # 3. search
         vectors_to_search = rng.random((1, default_dim))
         search_params = {"metric_type": metric_type}
-        client_w.search(client, collection_name, vectors_to_search, limit=default_limit,
+        self.search(client, collection_name, vectors_to_search, limit=default_limit,
                     search_params=search_params,
                     output_fields=[default_primary_key_field_name],
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "limit": default_limit})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)
 
     @pytest.mark.tags(CaseLabel.L1)
     def test_high_level_delete(self):
@@ -312,22 +299,22 @@ class TestHighLevelApi(TestcaseBase):
         method: create connection, collection, insert delete, and search
         expected: search/query successfully without deleted data
         """
-        client = self._connect(enable_milvus_client_api=True)
+        client = self._client()
         collection_name = cf.gen_unique_str(prefix)
         # 1. create collection
-        client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
+        self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
         # 2. insert
         default_nb = 1000
         rng = np.random.default_rng(seed=19530)
         rows = [{default_primary_key_field_name: i, default_vector_field_name: list(rng.random((1, default_dim))[0]),
                  default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
-        client_w.insert(client, collection_name, rows)[0]
+        self.insert(client, collection_name, rows)
         pks = [i for i in range(default_nb)]
         # 3. get first primary key
-        first_pk_data = client_w.get(client, collection_name, ids=pks[0:1])
+        first_pk_data = self.get(client, collection_name, ids=pks[0:1])
         # 4. delete
         delete_num = 3
-        client_w.delete(client, collection_name, ids=pks[0:delete_num])
+        self.delete(client, collection_name, ids=pks[0:delete_num])
         # 5. search
         vectors_to_search = rng.random((1, default_dim))
         insert_ids = [i for i in range(default_nb)]
@@ -335,16 +322,16 @@ class TestHighLevelApi(TestcaseBase):
             if insert_id in insert_ids:
                 insert_ids.remove(insert_id)
         limit = default_nb - delete_num
-        client_w.search(client, collection_name, vectors_to_search, limit=default_nb,
+        self.search(client, collection_name, vectors_to_search, limit=default_nb,
                     check_task=CheckTasks.check_search_results,
                     check_items={"enable_milvus_client_api": True,
                                  "nq": len(vectors_to_search),
                                  "ids": insert_ids,
                                  "limit": limit})
         # 6. query
-        client_w.query(client, collection_name, filter=default_search_exp,
+        self.query(client, collection_name, filter=default_search_exp,
                    check_task=CheckTasks.check_query_results,
                    check_items={exp_res: rows[delete_num:],
                                 "with_vec": True,
                                 "primary_field": default_primary_key_field_name})
-        client_w.drop_collection(client, collection_name)
+        self.drop_collection(client, collection_name)