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1148 lines
55 KiB
Python
1148 lines
55 KiB
Python
import multiprocessing
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import numbers
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import random
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import numpy
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import threading
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import pytest
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import pandas as pd
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import decimal
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from decimal import Decimal, getcontext
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from time import sleep
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import heapq
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from pymilvus import DataType
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from base.client_base import TestcaseBase
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from utils.util_log import test_log as log
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from common import common_func as cf
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from common import common_type as ct
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from common.common_type import CaseLabel, CheckTasks
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from utils.util_pymilvus import *
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from common.constants import *
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from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTENCY_SESSION, CONSISTENCY_EVENTUALLY
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from base.high_level_api_wrapper import HighLevelApiWrapper
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client_w = HighLevelApiWrapper()
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prefix = "milvus_client_api_collection"
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epsilon = ct.epsilon
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default_nb = ct.default_nb
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default_nb_medium = ct.default_nb_medium
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default_nq = ct.default_nq
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default_dim = ct.default_dim
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default_limit = ct.default_limit
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default_search_exp = "id >= 0"
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exp_res = "exp_res"
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default_search_string_exp = "varchar >= \"0\""
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default_search_mix_exp = "int64 >= 0 && varchar >= \"0\""
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default_invaild_string_exp = "varchar >= 0"
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default_json_search_exp = "json_field[\"number\"] >= 0"
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perfix_expr = 'varchar like "0%"'
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default_search_field = ct.default_float_vec_field_name
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default_search_params = ct.default_search_params
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default_primary_key_field_name = "id"
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default_vector_field_name = "vector"
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default_float_field_name = ct.default_float_field_name
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default_bool_field_name = ct.default_bool_field_name
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default_string_field_name = ct.default_string_field_name
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default_int32_array_field_name = ct.default_int32_array_field_name
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default_string_array_field_name = ct.default_string_array_field_name
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class TestMilvusClientCollectionInvalid(TestcaseBase):
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""" Test case of create collection interface """
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@pytest.fixture(scope="function", params=[False, True])
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def auto_id(self, request):
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yield request.param
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@pytest.fixture(scope="function", params=["COSINE", "L2"])
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def metric_type(self, request):
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yield request.param
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"""
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******************************************************************
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# The following are invalid base cases
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******************************************************************
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"""
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.parametrize("collection_name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
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def test_milvus_client_collection_invalid_collection_name(self, collection_name):
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"""
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target: test fast create collection with invalid collection name
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method: create collection with invalid collection
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expected: raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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# 1. create collection
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error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
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f"collection name must be an underscore or letter: invalid parameter"}
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client_w.create_collection(client, collection_name, default_dim,
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L1)
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def test_milvus_client_collection_name_over_max_length(self):
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"""
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target: test fast create collection with over max collection name length
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method: create collection with over max collection name length
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expected: raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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# 1. create collection
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collection_name = "a".join("a" for i in range(256))
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error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection name must be less than 255 characters"}
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client_w.create_collection(client, collection_name, default_dim,
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L1)
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def test_milvus_client_collection_name_empty(self):
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"""
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target: test fast create collection name with empty
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method: create collection name with empty
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expected: raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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# 1. create collection
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collection_name = " "
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error = {ct.err_code: 0, ct.err_msg: "collection name should not be empty: invalid parameter"}
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client_w.create_collection(client, collection_name, default_dim,
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.parametrize("dim", [ct.min_dim-1, ct.max_dim+1])
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def test_milvus_client_collection_invalid_dim(self, dim):
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"""
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target: test fast create collection name with invalid dim
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method: create collection name with invalid dim
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expected: raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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error = {ct.err_code: 65535, ct.err_msg: f"invalid dimension: {dim}. "
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f"float vector dimension should be in range 2 ~ 32768"}
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if dim < ct.min_dim:
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error = {ct.err_code: 65535, ct.err_msg: f"invalid dimension: {dim}. "
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f"should be in range 2 ~ 32768"}
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client_w.create_collection(client, collection_name, dim,
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check_task=CheckTasks.err_res, check_items=error)
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client_w.drop_collection(client, collection_name)
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@pytest.mark.tags(CaseLabel.L2)
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@pytest.mark.xfail(reason="pymilvus issue 1554")
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def test_milvus_client_collection_invalid_primary_field(self):
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"""
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target: test fast create collection name with invalid primary field
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method: create collection name with invalid primary field
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expected: raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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error = {ct.err_code: 1, ct.err_msg: f"Param id_type must be int or string"}
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client_w.create_collection(client, collection_name, default_dim, id_type="invalid",
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L2)
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def test_milvus_client_collection_string_auto_id(self):
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"""
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target: test fast create collection without max_length for string primary key
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method: create collection name with invalid primary field
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expected: raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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error = {ct.err_code: 65535, ct.err_msg: f"type param(max_length) should be specified for varChar "
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f"field of collection {collection_name}"}
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client_w.create_collection(client, collection_name, default_dim, id_type="string", auto_id=True,
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L1)
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def test_milvus_client_create_same_collection_different_params(self):
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"""
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target: test create same collection with different params
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method: create same collection with different params
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expected: raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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client_w.create_collection(client, collection_name, default_dim)
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# 2. create collection with same params
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client_w.create_collection(client, collection_name, default_dim)
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# 3. create collection with same name and different params
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error = {ct.err_code: 1, ct.err_msg: f"create duplicate collection with different parameters, "
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f"collection: {collection_name}"}
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client_w.create_collection(client, collection_name, default_dim+1,
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check_task=CheckTasks.err_res, check_items=error)
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client_w.drop_collection(client, collection_name)
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@pytest.mark.tags(CaseLabel.L2)
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@pytest.mark.xfail(reason="pymilvus issue 1872")
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@pytest.mark.parametrize("metric_type", [1, " ", "invalid"])
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def test_milvus_client_collection_invalid_metric_type(self, metric_type):
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"""
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target: test create same collection with invalid metric type
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method: create same collection with invalid metric type
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expected: raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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error = {ct.err_code: 65535,
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ct.err_msg: "metric type not found or not supported, supported: [L2 IP COSINE HAMMING JACCARD]"}
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client_w.create_collection(client, collection_name, default_dim, metric_type=metric_type,
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check_task=CheckTasks.err_res, check_items=error)
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@pytest.mark.tags(CaseLabel.L2)
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@pytest.mark.skip(reason="pymilvus issue 1864")
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def test_milvus_client_collection_invalid_schema_field_name(self):
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"""
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target: test create collection with invalid schema field name
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method: create collection with invalid schema field name
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expected: raise exception
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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schema = client_w.create_schema(client, enable_dynamic_field=False)[0]
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schema.add_field("%$#", DataType.VARCHAR, max_length=64,
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is_primary=True, auto_id = False)
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schema.add_field("embeddings", DataType.FLOAT_VECTOR, dim=128)
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# 1. create collection
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error = {ct.err_code: 65535,
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ct.err_msg: "metric type not found or not supported, supported: [L2 IP COSINE HAMMING JACCARD]"}
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client_w.create_collection(client, collection_name, schema=schema,
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check_task=CheckTasks.err_res, check_items=error)
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class TestMilvusClientCollectionValid(TestcaseBase):
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""" Test case of create collection interface """
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@pytest.fixture(scope="function", params=[False, True])
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def auto_id(self, request):
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yield request.param
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@pytest.fixture(scope="function", params=["COSINE", "L2", "IP"])
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def metric_type(self, request):
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yield request.param
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@pytest.fixture(scope="function", params=["int", "string"])
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def id_type(self, request):
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yield request.param
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"""
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******************************************************************
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# The following are valid base cases
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******************************************************************
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"""
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@pytest.mark.tags(CaseLabel.L0)
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@pytest.mark.parametrize("dim", [ct.min_dim, default_dim, ct.max_dim])
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def test_milvus_client_collection_fast_creation_default(self, dim):
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"""
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target: test fast create collection normal case
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method: create collection
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expected: create collection with default schema, index, and load successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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client_w.using_database(client, "default")
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# 1. create collection
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client_w.create_collection(client, collection_name, dim)
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collections = client_w.list_collections(client)[0]
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assert collection_name in collections
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client_w.describe_collection(client, collection_name,
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check_task=CheckTasks.check_describe_collection_property,
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check_items={"collection_name": collection_name,
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"dim": dim,
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"consistency_level": 0})
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index = client_w.list_indexes(client, collection_name)[0]
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assert index == ['vector']
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# load_state = client_w.get_load_state(collection_name)[0]
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client_w.load_partitions(client, collection_name, "_default")
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client_w.release_partitions(client, collection_name, "_default")
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if client_w.has_collection(client, collection_name)[0]:
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client_w.drop_collection(client, collection_name)
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.parametrize("dim", [ct.min_dim, default_dim, ct.max_dim])
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def test_milvus_client_collection_fast_creation_all_params(self, dim, metric_type, id_type, auto_id):
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"""
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target: test fast create collection normal case
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method: create collection
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expected: create collection with default schema, index, and load successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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max_length = 100
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# 1. create collection
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client_w.create_collection(client, collection_name, dim, id_type=id_type, metric_type=metric_type,
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auto_id=auto_id, max_length=max_length)
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collections = client_w.list_collections(client)[0]
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assert collection_name in collections
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client_w.describe_collection(client, collection_name,
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check_task=CheckTasks.check_describe_collection_property,
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check_items={"collection_name": collection_name,
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"dim": dim,
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"consistency_level": 0})
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index = client_w.list_indexes(client, collection_name)[0]
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assert index == ['vector']
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# load_state = client_w.get_load_state(collection_name)[0]
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client_w.release_collection(client, collection_name)
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client_w.drop_collection(client, collection_name)
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@pytest.mark.tags(CaseLabel.L0)
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@pytest.mark.parametrize("nullable", [True, False])
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def test_milvus_client_collection_self_creation_default(self, nullable):
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"""
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target: test fast create collection normal case
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method: create collection
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expected: create collection with default schema, index, and load successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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dim = 128
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# 1. create collection
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schema = client_w.create_schema(client, enable_dynamic_field=False)[0]
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schema.add_field("id_string", DataType.VARCHAR, max_length=64, is_primary=True, auto_id = False)
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schema.add_field("embeddings", DataType.FLOAT_VECTOR, dim=dim)
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schema.add_field("title", DataType.VARCHAR, max_length=64, is_partition_key=True)
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schema.add_field("nullable_field", DataType.INT64, nullable=nullable, default_value=10)
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schema.add_field("array_field", DataType.ARRAY, element_type=DataType.INT64, max_capacity=12,
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max_length=64, nullable=nullable)
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index_params = client_w.prepare_index_params(client)[0]
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index_params.add_index("embeddings", metric_type="COSINE")
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# index_params.add_index("title")
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client_w.create_collection(client, collection_name, dimension=dim, schema=schema, index_params=index_params)
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collections = client_w.list_collections(client)[0]
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assert collection_name in collections
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check_items = {"collection_name": collection_name,
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"dim": dim,
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"consistency_level": 0,
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"enable_dynamic_field": False,
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"num_partitions": 16,
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"id_name": "id_string",
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"vector_name": "embeddings"}
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if nullable:
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check_items["nullable_fields"] = ["nullable_field", "array_field"]
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client_w.describe_collection(client, collection_name,
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check_task=CheckTasks.check_describe_collection_property,
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check_items=check_items)
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index = client_w.list_indexes(client, collection_name)[0]
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assert index == ['embeddings']
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if client_w.has_collection(client, collection_name)[0]:
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client_w.drop_collection(client, collection_name)
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@pytest.mark.tags(CaseLabel.L1)
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def test_milvus_client_array_insert_search(self):
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"""
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target: test search (high level api) normal case
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method: create connection, collection, insert and search
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expected: search/query successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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client_w.create_collection(client, collection_name, default_dim, consistency_level="Strong")
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collections = client_w.list_collections(client)[0]
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assert collection_name in collections
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# 2. insert
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rng = np.random.default_rng(seed=19530)
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rows = [{
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default_primary_key_field_name: i,
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default_vector_field_name: list(rng.random((1, default_dim))[0]),
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default_float_field_name: i * 1.0,
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default_int32_array_field_name: [i, i+1, i+2],
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default_string_array_field_name: [str(i), str(i + 1), str(i + 2)]
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} for i in range(default_nb)]
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client_w.insert(client, collection_name, rows)
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# 3. search
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vectors_to_search = rng.random((1, default_dim))
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insert_ids = [i for i in range(default_nb)]
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client_w.search(client, collection_name, vectors_to_search,
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check_task=CheckTasks.check_search_results,
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check_items={"enable_milvus_client_api": True,
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"nq": len(vectors_to_search),
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"ids": insert_ids,
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"limit": default_limit})
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@pytest.mark.tags(CaseLabel.L2)
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@pytest.mark.skip(reason="issue 25110")
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def test_milvus_client_search_query_string(self):
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"""
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target: test search (high level api) for string primary key
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method: create connection, collection, insert and search
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expected: search/query successfully
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"""
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client = self._connect(enable_milvus_client_api=True)
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collection_name = cf.gen_unique_str(prefix)
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# 1. create collection
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client_w.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
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client_w.describe_collection(client, collection_name,
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check_task=CheckTasks.check_describe_collection_property,
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check_items={"collection_name": collection_name,
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"dim": default_dim,
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"auto_id": auto_id})
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# 2. insert
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rng = np.random.default_rng(seed=19530)
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rows = [{default_primary_key_field_name: str(i), default_vector_field_name: list(rng.random((1, default_dim))[0]),
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default_float_field_name: i * 1.0, default_string_field_name: str(i)} for i in range(default_nb)]
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client_w.insert(client, collection_name, rows)
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client_w.flush(client, collection_name)
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assert client_w.num_entities(client, collection_name)[0] == default_nb
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# 3. search
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vectors_to_search = rng.random((1, default_dim))
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client_w.search(client, collection_name, vectors_to_search,
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check_task=CheckTasks.check_search_results,
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check_items={"enable_milvus_client_api": True,
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"nq": len(vectors_to_search),
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"limit": default_limit})
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# 4. query
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client_w.query(client, collection_name, filter=default_search_exp,
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check_task=CheckTasks.check_query_results,
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check_items={exp_res: rows,
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"with_vec": True,
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"primary_field": default_primary_key_field_name})
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client_w.drop_collection(client, collection_name)
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@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_search_different_metric_types_not_specifying_in_search_params(self, metric_type, auto_id):
|
|
"""
|
|
target: test search (high level api) normal case
|
|
method: create connection, collection, insert and search
|
|
expected: search successfully with limit(topK)
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
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,
|
|
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)]
|
|
if auto_id:
|
|
for row in rows:
|
|
row.pop(default_primary_key_field_name)
|
|
client_w.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,
|
|
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)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.skip("pymilvus issue #1866")
|
|
def test_milvus_client_search_different_metric_types_specifying_in_search_params(self, metric_type, auto_id):
|
|
"""
|
|
target: test search (high level api) normal case
|
|
method: create connection, collection, insert and search
|
|
expected: search successfully with limit(topK)
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
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,
|
|
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)]
|
|
if auto_id:
|
|
for row in rows:
|
|
row.pop(default_primary_key_field_name)
|
|
client_w.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,
|
|
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)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_delete_with_ids(self):
|
|
"""
|
|
target: test delete (high level api)
|
|
method: create connection, collection, insert delete, and search
|
|
expected: search/query successfully without deleted data
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.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]
|
|
# 3. delete
|
|
delete_num = 3
|
|
client_w.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)]
|
|
for insert_id in range(delete_num):
|
|
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,
|
|
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,
|
|
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)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_delete_with_filters(self):
|
|
"""
|
|
target: test delete (high level api)
|
|
method: create connection, collection, insert delete, and search
|
|
expected: search/query successfully without deleted data
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.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]
|
|
# 3. delete
|
|
delete_num = 3
|
|
client_w.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)]
|
|
for insert_id in range(delete_num):
|
|
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,
|
|
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,
|
|
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)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_collection_rename_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
collections = client_w.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
old_name = collection_name
|
|
new_name = collection_name + "new"
|
|
client_w.rename_collection(client, old_name, new_name)
|
|
collections = client_w.list_collections(client)[0]
|
|
assert new_name in collections
|
|
assert old_name not in collections
|
|
client_w.describe_collection(client, new_name,
|
|
check_task=CheckTasks.check_describe_collection_property,
|
|
check_items={"collection_name": new_name,
|
|
"dim": default_dim,
|
|
"consistency_level": 0})
|
|
index = client_w.list_indexes(client, new_name)[0]
|
|
assert index == ['vector']
|
|
# load_state = client_w.get_load_state(collection_name)[0]
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found"}
|
|
client_w.load_partitions(client, old_name, "_default",
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
client_w.load_partitions(client, new_name, "_default")
|
|
client_w.release_partitions(client, new_name, "_default")
|
|
if client_w.has_collection(client, collection_name)[0]:
|
|
client_w.drop_collection(client, new_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.skip(reason="db not ready")
|
|
def test_milvus_client_collection_rename_collection_target_db(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
collections = client_w.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
db_name = "new_db"
|
|
client_w.use_database(client, db_name)
|
|
old_name = collection_name
|
|
new_name = collection_name + "new"
|
|
client_w.rename_collection(client, old_name, new_name, target_db=db_name)
|
|
collections = client_w.list_collections(client)[0]
|
|
assert new_name in collections
|
|
assert old_name not in collections
|
|
client_w.describe_collection(client, new_name,
|
|
check_task=CheckTasks.check_describe_collection_property,
|
|
check_items={"collection_name": new_name,
|
|
"dim": default_dim,
|
|
"consistency_level": 0})
|
|
index = client_w.list_indexes(client, new_name)[0]
|
|
assert index == ['vector']
|
|
# load_state = client_w.get_load_state(collection_name)[0]
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found"}
|
|
client_w.load_partitions(client, old_name, "_default",
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
client_w.load_partitions(client, new_name, "_default")
|
|
client_w.release_partitions(client, new_name, "_default")
|
|
if client_w.has_collection(client, collection_name)[0]:
|
|
client_w.drop_collection(client, new_name)
|
|
|
|
|
|
class TestMilvusClientDropCollectionInvalid(TestcaseBase):
|
|
""" Test case of drop collection interface """
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_drop_collection_invalid_collection_name(self, name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {name}. "
|
|
f"the first character of a collection name must be an underscore or letter"}
|
|
client_w.drop_collection(client, name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_drop_collection_not_existed(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str("nonexisted")
|
|
client_w.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestMilvusClientReleaseCollectionInvalid(TestcaseBase):
|
|
""" Test case of release collection interface """
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_release_collection_invalid_collection_name(self, name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
error = {ct.err_code: 1100,
|
|
ct.err_msg: f"Invalid collection name: {name}. "
|
|
f"the first character of a collection name must be an underscore or letter"}
|
|
client_w.release_collection(client, name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_release_collection_not_existed(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str("nonexisted")
|
|
error = {ct.err_code: 1100, ct.err_msg: f"collection not found[database=default]"
|
|
f"[collection={collection_name}]"}
|
|
client_w.release_collection(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_release_collection_name_over_max_length(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
# 1. create collection
|
|
collection_name = "a".join("a" for i in range(256))
|
|
error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection name must be less than 255 characters"}
|
|
client_w.release_collection(client, collection_name, default_dim,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientReleaseCollectionValid(TestcaseBase):
|
|
""" Test case of release collection interface """
|
|
|
|
@pytest.fixture(scope="function", params=[False, True])
|
|
def auto_id(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=["COSINE", "L2", "IP"])
|
|
def metric_type(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=["int", "string"])
|
|
def id_type(self, request):
|
|
yield request.param
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are valid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_release_unloaded_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
client_w.release_collection(client, collection_name)
|
|
client_w.release_collection(client, collection_name)
|
|
if client_w.has_collection(client, collection_name)[0]:
|
|
client_w.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_partially_loaded_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
partition_name = cf.gen_unique_str("partition")
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
client_w.create_partition(client, collection_name, partition_name)
|
|
client_w.release_partitions(client, collection_name, ["_default", partition_name])
|
|
client_w.release_collection(client, collection_name)
|
|
client_w.load_collection(client, collection_name)
|
|
client_w.release_partitions(client, collection_name, [partition_name])
|
|
client_w.release_collection(client, collection_name)
|
|
if client_w.has_collection(client, collection_name)[0]:
|
|
client_w.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestMilvusClientLoadCollectionInvalid(TestcaseBase):
|
|
""" Test case of search interface """
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_load_collection_invalid_collection_name(self, name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
error = {ct.err_code: 1100,
|
|
ct.err_msg: f"Invalid collection name: {name}. "
|
|
f"the first character of a collection name must be an underscore or letter"}
|
|
client_w.load_collection(client, name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_collection_not_existed(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str("nonexisted")
|
|
error = {ct.err_code: 1100, ct.err_msg: f"collection not found[database=default]"
|
|
f"[collection={collection_name}]"}
|
|
client_w.load_collection(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_collection_over_max_length(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = "a".join("a" for i in range(256))
|
|
error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. "
|
|
f"the length of a collection name must be less than 255 characters: "
|
|
f"invalid parameter"}
|
|
client_w.load_collection(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_load_collection_without_index(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
client_w.release_collection(client, collection_name)
|
|
client_w.drop_index(client, collection_name, "vector")
|
|
error = {ct.err_code: 700, ct.err_msg: f"index not found[collection={collection_name}]"}
|
|
client_w.load_collection(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
if client_w.has_collection(client, collection_name)[0]:
|
|
client_w.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestMilvusClientLoadCollectionValid(TestcaseBase):
|
|
""" Test case of search interface """
|
|
|
|
@pytest.fixture(scope="function", params=[False, True])
|
|
def auto_id(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=["COSINE", "L2", "IP"])
|
|
def metric_type(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=["int", "string"])
|
|
def id_type(self, request):
|
|
yield request.param
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are valid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_loaded_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
client_w.load_collection(client, collection_name)
|
|
if client_w.has_collection(client, collection_name)[0]:
|
|
client_w.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_partially_loaded_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
partition_name = cf.gen_unique_str("partition")
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
client_w.create_partition(client, collection_name, partition_name)
|
|
client_w.release_collection(client, collection_name)
|
|
client_w.load_partitions(client, collection_name, [partition_name])
|
|
client_w.load_collection(client, collection_name)
|
|
client_w.release_collection(client, collection_name)
|
|
client_w.load_partitions(client, collection_name, ["_default", partition_name])
|
|
client_w.load_collection(client, collection_name)
|
|
if client_w.has_collection(client, collection_name)[0]:
|
|
client_w.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestMilvusClientDescribeCollectionInvalid(TestcaseBase):
|
|
""" Test case of search interface """
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_describe_collection_invalid_collection_name(self, name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
error = {ct.err_code: 1100,
|
|
ct.err_msg: f"Invalid collection name: {name}. "
|
|
f"the first character of a collection name must be an underscore or letter"}
|
|
client_w.describe_collection(client, name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_describe_collection_not_existed(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = "nonexisted"
|
|
error = {ct.err_code: 100, ct.err_msg: "can't find collection[database=default][collection=nonexisted]"}
|
|
client_w.describe_collection(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_describe_collection_deleted_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
client_w.drop_collection(client, collection_name)
|
|
error = {ct.err_code: 100, ct.err_msg: f"can't find collection[database=default][collection={collection_name}]"}
|
|
client_w.describe_collection(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientHasCollectionInvalid(TestcaseBase):
|
|
""" Test case of search interface """
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_has_collection_invalid_collection_name(self, name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
error = {ct.err_code: 1100,
|
|
ct.err_msg: f"Invalid collection name: {name}. "
|
|
f"the first character of a collection name must be an underscore or letter"}
|
|
client_w.has_collection(client, name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_has_collection_not_existed(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = "nonexisted"
|
|
result = client_w.has_collection(client, collection_name)[0]
|
|
assert result == False
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_has_collection_deleted_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
client_w.drop_collection(client, collection_name)
|
|
result = client_w.has_collection(client, collection_name)[0]
|
|
assert result == False
|
|
|
|
|
|
class TestMilvusClientRenameCollectionInValid(TestcaseBase):
|
|
""" Test case of rename collection interface """
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are valid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_rename_collection_invalid_collection_name(self, name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=1][collection={name}]"}
|
|
client_w.rename_collection(client, name, "new_collection",
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_rename_collection_not_existed_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = "nonexisted"
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=1][collection={collection_name}]"}
|
|
client_w.rename_collection(client, collection_name, "new_collection",
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_rename_collection_duplicated_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 65535, ct.err_msg: f"duplicated new collection name default:{collection_name} "
|
|
f"with other collection name or alias"}
|
|
client_w.rename_collection(client, collection_name, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_rename_deleted_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
client_w.drop_collection(client, collection_name)
|
|
error = {ct.err_code: 100, ct.err_msg: f"{collection_name}: collection not found[collection=default]"}
|
|
client_w.rename_collection(client, collection_name, "new_collection",
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientRenameCollectionValid(TestcaseBase):
|
|
""" Test case of rename collection interface """
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are valid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_rename_collection_multiple_times(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 2. rename with invalid new_name
|
|
new_name = "new_name_rename"
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
times = 3
|
|
for _ in range(times):
|
|
client_w.rename_collection(client, collection_name, new_name)
|
|
client_w.rename_collection(client, new_name, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_rename_collection_deleted_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
another_collection_name = cf.gen_unique_str("another_collection")
|
|
# 1. create 2 collections
|
|
client_w.create_collection(client, collection_name, default_dim)
|
|
client_w.create_collection(client, another_collection_name, default_dim)
|
|
# 2. drop one collection
|
|
client_w.drop_collection(client, another_collection_name)
|
|
# 3. rename to dropped collection
|
|
client_w.rename_collection(client, collection_name, another_collection_name)
|
|
|
|
|
|
class TestMilvusClientUsingDatabaseInvalid(TestcaseBase):
|
|
""" Test case of using database interface """
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.xfail(reason="pymilvus issue 1900")
|
|
@pytest.mark.parametrize("db_name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_using_database_not_exist_db_name(self, db_name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._connect(enable_milvus_client_api=True)
|
|
# db_name = cf.gen_unique_str("nonexisted")
|
|
error = {ct.err_code: 999, ct.err_msg: f"database not found[database={db_name}]"}
|
|
client_w.using_database(client, db_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.skip(reason="# this case is dup to using a non exist db name, try to add one for create database")
|
|
def test_milvus_client_using_database_db_name_over_max_length(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
pass
|