import pytest import pymilvus from common import common_func as cf from common import common_type as ct from common.common_type import CaseLabel, CheckTasks from common.milvus_sys import MilvusSys from utils.util_pymilvus import * from deploy.base import TestDeployBase from deploy.common import gen_index_param, gen_search_param, get_collections from utils.util_log import test_log as log default_nb = ct.default_nb default_nq = ct.default_nq default_dim = ct.default_dim default_limit = ct.default_limit default_search_field = ct.default_float_vec_field_name default_search_params = ct.default_search_params default_int64_field_name = ct.default_int64_field_name 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 binary_field_name = default_binary_vec_field_name default_search_exp = "int64 >= 0" default_term_expr = f'{ct.default_int64_field_name} in [0, 1]' pymilvus_version = pymilvus.__version__ class TestActionSecondDeployment(TestDeployBase): """ Test case of action before reinstall """ @pytest.fixture(scope="function", params=get_collections()) def all_collection_name(self, request): if request.param == [] or request.param == "": pytest.skip("The collection name is invalid") yield request.param def teardown_method(self, method): log.info(("*" * 35) + " teardown " + ("*" * 35)) log.info("[teardown_method] Start teardown test case %s..." % method.__name__) log.info("skip drop collection") @pytest.mark.tags(CaseLabel.L3) def test_check(self, all_collection_name, data_size): """ before reinstall: create collection """ self._connect() ms = MilvusSys() name = all_collection_name is_binary = False if "BIN" in name: is_binary = True collection_w, _ = self.collection_wrap.init_collection(name=name) schema = collection_w.schema data_type = [field.dtype for field in schema.fields] field_name = [field.name for field in schema.fields] type_field_map = dict(zip(data_type, field_name)) if is_binary: default_index_field = ct.default_binary_vec_field_name vector_index_type = "BIN_IVF_FLAT" else: default_index_field = ct.default_float_vec_field_name vector_index_type = "IVF_FLAT" binary_vector_index_types = [index.params["index_type"] for index in collection_w.indexes if index.field_name == type_field_map.get(100, "")] float_vector_index_types = [index.params["index_type"] for index in collection_w.indexes if index.field_name == type_field_map.get(101, "")] index_field_map = dict([(index.field_name, index.index_name) for index in collection_w.indexes]) index_names = [index.index_name for index in collection_w.indexes] # used to drop index vector_index_types = binary_vector_index_types + float_vector_index_types if len(vector_index_types) > 0: vector_index_type = vector_index_types[0] try: replicas, _ = collection_w.get_replicas(enable_traceback=False) replicas_loaded = len(replicas.groups) except Exception as e: log.info("get replicas failed") replicas_loaded = 0 # params for search and query if is_binary: _, vectors_to_search = cf.gen_binary_vectors( default_nb, default_dim) default_search_field = ct.default_binary_vec_field_name else: vectors_to_search = cf.gen_vectors(default_nb, default_dim) default_search_field = ct.default_float_vec_field_name search_params = gen_search_param(vector_index_type)[0] # load if not loaded if replicas_loaded == 0: default_index_param = gen_index_param(vector_index_type) collection_w.create_index(default_index_field, default_index_param, index_name=index_field_map[default_index_field]) collection_w.create_index(default_string_field_name, {}, index_name=index_field_map[default_string_field_name]) collection_w.load() # search and query if "empty" in name: # if the collection is empty, the search result should be empty, so no need to check check_task = None else: check_task = CheckTasks.check_search_results collection_w.search(vectors_to_search[:default_nq], default_search_field, search_params, default_limit, default_search_exp, output_fields=[ct.default_int64_field_name], check_task=check_task, check_items={"nq": default_nq, "limit": default_limit}) if "empty" in name: check_task = None else: check_task = CheckTasks.check_query_not_empty collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name], check_task=check_task) # flush if pymilvus_version >= "2.2.0": collection_w.flush() else: collection_w.collection.num_entities # search and query if "empty" in name: check_task = None else: check_task = CheckTasks.check_search_results collection_w.search(vectors_to_search[:default_nq], default_search_field, search_params, default_limit, default_search_exp, output_fields=[ct.default_int64_field_name], check_task=check_task, check_items={"nq": default_nq, "limit": default_limit}) if "empty" in name: check_task = None else: check_task = CheckTasks.check_query_not_empty collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name], check_task=check_task) # insert data and flush for i in range(2): self.init_collection_general(insert_data=True, is_binary=is_binary, nb=data_size, is_flush=False, is_index=True, name=name) if pymilvus_version >= "2.2.0": collection_w.flush() else: collection_w.collection.num_entities # delete data delete_expr = f"{ct.default_int64_field_name} in [0,1,2,3,4,5,6,7,8,9]" collection_w.delete(expr=delete_expr) # search and query collection_w.search(vectors_to_search[:default_nq], default_search_field, search_params, default_limit, default_search_exp, output_fields=[ct.default_int64_field_name], check_task=CheckTasks.check_search_results, check_items={"nq": default_nq, "limit": default_limit}) collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name], check_task=CheckTasks.check_query_not_empty) # drop index if exist if len(index_names) > 0: for index_name in index_names: collection_w.release() collection_w.drop_index(index_name=index_name) default_index_param = gen_index_param(vector_index_type) collection_w.create_index(default_index_field, default_index_param, index_name=index_field_map[default_index_field]) collection_w.create_index(default_string_field_name, {}, index_name=index_field_map[default_string_field_name]) collection_w.load() collection_w.search(vectors_to_search[:default_nq], default_search_field, search_params, default_limit, default_search_exp, output_fields=[ct.default_int64_field_name], check_task=CheckTasks.check_search_results, check_items={"nq": default_nq, "limit": default_limit}) collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name], check_task=CheckTasks.check_query_not_empty) # create index default_index_param = gen_index_param(vector_index_type) collection_w.create_index(default_index_field, default_index_param, index_name=index_field_map[default_index_field]) collection_w.create_index(default_string_field_name, {}, index_name=index_field_map[default_string_field_name]) # search and query collection_w.search(vectors_to_search[:default_nq], default_search_field, search_params, default_limit, default_search_exp, output_fields=[ct.default_int64_field_name], check_task=CheckTasks.check_search_results, check_items={"nq": default_nq, "limit": default_limit}) collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name], check_task=CheckTasks.check_query_not_empty) # release and reload with changed replicas collection_w.release() replica_number = 1 if replicas_loaded in [0, 1] and len(ms.query_nodes) >= 2: replica_number = 2 collection_w.load(replica_number=replica_number) # search and query collection_w.search(vectors_to_search[:default_nq], default_search_field, search_params, default_limit, default_search_exp, output_fields=[ct.default_int64_field_name], check_task=CheckTasks.check_search_results, check_items={"nq": default_nq, "limit": default_limit}) collection_w.query(default_term_expr, output_fields=[ct.default_int64_field_name], check_task=CheckTasks.check_query_not_empty)