mirror of
https://gitee.com/milvus-io/milvus.git
synced 2025-12-29 15:05:31 +08:00
93884d219a
issue: #43590 Migrate duplicate collection name test cases from TestcaseBase to TestMilvusClientV2Base @yanliang567 --------- Signed-off-by: Orpheus Wang <orpheus.wang@zilliz.com>
1616 lines
78 KiB
Python
1616 lines
78 KiB
Python
import pytest
|
|
|
|
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 *
|
|
|
|
prefix = "client_collection"
|
|
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_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 TestMilvusClientCollectionInvalid(TestMilvusClientV2Base):
|
|
""" Test case of create collection interface """
|
|
|
|
@pytest.fixture(scope="function", params=[False, True])
|
|
def auto_id(self, request):
|
|
yield request.param
|
|
|
|
@pytest.fixture(scope="function", params=["COSINE", "L2"])
|
|
def metric_type(self, request):
|
|
yield request.param
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("collection_name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_collection_invalid_collection_name(self, collection_name):
|
|
"""
|
|
target: test fast create collection with invalid collection name
|
|
method: create collection with invalid collection
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
# 1. create collection
|
|
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"}
|
|
self.create_collection(client, collection_name, default_dim,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_collection_name_over_max_length(self):
|
|
"""
|
|
target: test fast create collection with over max collection name length
|
|
method: create collection with over max collection name length
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
# 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"}
|
|
self.create_collection(client, collection_name, default_dim,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_collection_name_empty(self):
|
|
"""
|
|
target: test fast create collection name with empty
|
|
method: create collection name with empty
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
# 1. create collection
|
|
collection_name = " "
|
|
error = {ct.err_code: 1100, ct.err_msg: "Invalid collection name"}
|
|
self.create_collection(client, collection_name, default_dim,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("dim", [ct.min_dim - 1, ct.max_dim + 1])
|
|
def test_milvus_client_collection_invalid_dim(self, dim):
|
|
"""
|
|
target: test fast create collection name with invalid dim
|
|
method: create collection name with invalid dim
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
error = {ct.err_code: 65535, ct.err_msg: f"invalid dimension: {dim} of field {default_vector_field_name}. "
|
|
f"float vector dimension should be in range 2 ~ 32768"}
|
|
if dim < ct.min_dim:
|
|
error = {ct.err_code: 65535, ct.err_msg: f"invalid dimension: {dim}. "
|
|
f"should be in range 2 ~ 32768"}
|
|
self.create_collection(client, collection_name, dim,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.skip(reason="pymilvus issue 1554")
|
|
def test_milvus_client_collection_invalid_primary_field(self):
|
|
"""
|
|
target: test fast create collection name with invalid primary field
|
|
method: create collection name with invalid primary field
|
|
expected: raise exception
|
|
"""
|
|
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"}
|
|
self.create_collection(client, collection_name, default_dim, id_type="invalid",
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_collection_string_auto_id(self):
|
|
"""
|
|
target: test fast create collection without max_length for string primary key
|
|
method: create collection name with invalid primary field
|
|
expected: raise exception
|
|
"""
|
|
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 the field(id) "
|
|
f"of collection {collection_name}"}
|
|
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)
|
|
def test_milvus_client_create_collection_dup_name_different_params(self):
|
|
"""
|
|
target: test create same collection with different parameters
|
|
method: create same collection with different dims, schemas, and primary fields
|
|
expected: raise exception for all different parameter cases
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
self.create_collection(client, collection_name, default_dim)
|
|
# Test 1: Different dimensions
|
|
error = {ct.err_code: 1, ct.err_msg: f"create duplicate collection with different parameters, "
|
|
f"collection: {collection_name}"}
|
|
self.create_collection(client, collection_name, default_dim + 1,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
# Test 2: Different schemas
|
|
schema_diff = self.create_schema(client, enable_dynamic_field=False)[0]
|
|
schema_diff.add_field("new_id", DataType.VARCHAR, max_length=64, is_primary=True, auto_id=False)
|
|
schema_diff.add_field("new_vector", DataType.FLOAT_VECTOR, dim=128)
|
|
self.create_collection(client, collection_name, schema=schema_diff,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
# Test 3: Different primary fields
|
|
schema2 = self.create_schema(client, enable_dynamic_field=False)[0]
|
|
schema2.add_field("id_2", DataType.INT64, is_primary=True, auto_id=False)
|
|
schema2.add_field("vector", DataType.FLOAT_VECTOR, dim=default_dim)
|
|
self.create_collection(client, collection_name, schema=schema2,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
# Verify original collection's primary field is unchanged
|
|
self.describe_collection(client, collection_name,
|
|
check_task=CheckTasks.check_describe_collection_property,
|
|
check_items={"collection_name": collection_name,
|
|
"dim": default_dim,
|
|
"id_name": "id"})
|
|
self.drop_collection(client, collection_name)
|
|
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("metric_type", [1, " ", "invalid"])
|
|
def test_milvus_client_collection_invalid_metric_type(self, metric_type):
|
|
"""
|
|
target: test create same collection with invalid metric type
|
|
method: create same collection with invalid metric type
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# 1. create collection
|
|
error = {ct.err_code: 1100, ct.err_msg: f"float vector index does not support metric type: {metric_type}: "
|
|
f"invalid parameter[expected=valid index params][actual=invalid index params"}
|
|
self.create_collection(client, collection_name, default_dim, metric_type=metric_type,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.skip(reason="pymilvus issue 1864")
|
|
def test_milvus_client_collection_invalid_schema_field_name(self):
|
|
"""
|
|
target: test create collection with invalid schema field name
|
|
method: create collection with invalid schema field name
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
schema = self.create_schema(client, enable_dynamic_field=False)[0]
|
|
schema.add_field("%$#", DataType.VARCHAR, max_length=64,
|
|
is_primary=True, auto_id=False)
|
|
schema.add_field("embeddings", DataType.FLOAT_VECTOR, dim=128)
|
|
# 1. create collection
|
|
error = {ct.err_code: 65535,
|
|
ct.err_msg: "metric type not found or not supported, supported: [L2 IP COSINE HAMMING JACCARD]"}
|
|
self.create_collection(client, collection_name, schema=schema,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_collection_empty_fields(self):
|
|
"""
|
|
target: test create collection with empty fields
|
|
method: create collection with schema that has no fields
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# Create an empty schema (no fields added)
|
|
schema = self.create_schema(client, enable_dynamic_field=False)[0]
|
|
error = {ct.err_code: 1100, ct.err_msg: "Schema must have a primary key field"}
|
|
self.create_collection(client, collection_name, schema=schema,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_collection_dup_field(self):
|
|
"""
|
|
target: test create collection with duplicate field names
|
|
method: create schema with two fields having the same name
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# Create schema with duplicate field names
|
|
schema = self.create_schema(client, enable_dynamic_field=False)[0]
|
|
schema.add_field("int64_field", DataType.INT64, is_primary=True, auto_id=False)
|
|
schema.add_field("int64_field", DataType.INT64)
|
|
schema.add_field("vector_field", DataType.FLOAT_VECTOR, dim=default_dim)
|
|
|
|
error = {ct.err_code: 1100, ct.err_msg: "duplicated field name"}
|
|
self.create_collection(client, collection_name, schema=schema,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
has_collection = self.has_collection(client, collection_name)[0]
|
|
assert not has_collection
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_collection_add_field_as_primary(self):
|
|
"""
|
|
target: test fast create collection with add new field as primary
|
|
method: create collection name with add new field as primary
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# 1. create collection
|
|
dim, field_name = 8, "field_new"
|
|
error = {ct.err_code: 1100, ct.err_msg: f"not support to add pk field, "
|
|
f"field name = {field_name}: invalid parameter"}
|
|
self.create_collection(client, collection_name, dim)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
self.add_collection_field(client, collection_name, field_name=field_name, data_type=DataType.INT64,
|
|
nullable=True, is_primary=True, check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_collection_none_desc(self):
|
|
"""
|
|
target: test create collection with none description
|
|
method: create collection with none description in schema
|
|
expected: raise exception due to invalid description type
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
|
|
# Try to create schema with None description
|
|
schema = self.create_schema(client, enable_dynamic_field=False, description=None)[0]
|
|
schema.add_field("id", DataType.INT64, is_primary=True, auto_id=False)
|
|
schema.add_field("embeddings", DataType.FLOAT_VECTOR, dim=default_dim)
|
|
|
|
error = {ct.err_code: 1100, ct.err_msg: "description [None] has type NoneType, but expected one of: bytes, str"}
|
|
self.create_collection(client, collection_name, schema=schema,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_collection_invalid_schema_multi_pk(self):
|
|
"""
|
|
target: test create collection with schema containing multiple primary key fields
|
|
method: create schema with two primary key fields and use it to create collection
|
|
expected: raise exception due to multiple primary keys
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# Create schema with multiple primary key fields
|
|
schema = self.create_schema(client, enable_dynamic_field=False)[0]
|
|
schema.add_field("field1", DataType.INT64, is_primary=True, auto_id=False)
|
|
schema.add_field("field2", DataType.INT64, is_primary=True, auto_id=False) # Second primary key
|
|
schema.add_field("vector_field", DataType.FLOAT_VECTOR, dim=32)
|
|
# Try to create collection with multiple primary keys
|
|
error = {ct.err_code: 999, ct.err_msg: "Expected only one primary key field"}
|
|
self.create_collection(client, collection_name, schema=schema,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
class TestMilvusClientCollectionValid(TestMilvusClientV2Base):
|
|
""" Test case of create 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.L0)
|
|
@pytest.mark.parametrize("dim", [ct.min_dim, default_dim, ct.max_dim])
|
|
def test_milvus_client_collection_fast_creation_default(self, dim):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
self.using_database(client, "default")
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, dim)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
self.describe_collection(client, collection_name,
|
|
check_task=CheckTasks.check_describe_collection_property,
|
|
check_items={"collection_name": collection_name,
|
|
"dim": dim,
|
|
"consistency_level": 0})
|
|
index = self.list_indexes(client, collection_name)[0]
|
|
assert index == ['vector']
|
|
# load_state = self.get_load_state(collection_name)[0]
|
|
self.load_partitions(client, collection_name, "_default")
|
|
self.release_partitions(client, collection_name, "_default")
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("dim", [ct.min_dim, default_dim, ct.max_dim])
|
|
def test_milvus_client_collection_fast_creation_all_params(self, dim, metric_type, id_type, auto_id):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
max_length = 100
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, dim, id_type=id_type, metric_type=metric_type,
|
|
auto_id=auto_id, max_length=max_length)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
self.describe_collection(client, collection_name,
|
|
check_task=CheckTasks.check_describe_collection_property,
|
|
check_items={"collection_name": collection_name,
|
|
"dim": dim,
|
|
"auto_id": auto_id,
|
|
"consistency_level": 0})
|
|
index = self.list_indexes(client, collection_name)[0]
|
|
assert index == ['vector']
|
|
# load_state = self.get_load_state(collection_name)[0]
|
|
self.release_collection(client, collection_name)
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
@pytest.mark.parametrize("nullable", [True, False])
|
|
@pytest.mark.parametrize("vector_type", [DataType.FLOAT_VECTOR, DataType.INT8_VECTOR])
|
|
@pytest.mark.parametrize("add_field", [True, False])
|
|
def test_milvus_client_collection_self_creation_default(self, nullable, vector_type, add_field):
|
|
"""
|
|
target: test self create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
dim = 128
|
|
# 1. create collection
|
|
schema = self.create_schema(client, enable_dynamic_field=False)[0]
|
|
schema.add_field("id_string", DataType.VARCHAR, max_length=64, is_primary=True, auto_id=False)
|
|
schema.add_field("embeddings", vector_type, dim=dim)
|
|
schema.add_field("title", DataType.VARCHAR, max_length=64, is_partition_key=True)
|
|
schema.add_field("nullable_field", DataType.INT64, nullable=nullable, default_value=10)
|
|
schema.add_field("array_field", DataType.ARRAY, element_type=DataType.INT64, max_capacity=12,
|
|
max_length=64, nullable=nullable)
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index("embeddings", metric_type="COSINE")
|
|
# index_params.add_index("title")
|
|
self.create_collection(client, collection_name, dimension=dim, schema=schema, index_params=index_params)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
check_items = {"collection_name": collection_name,
|
|
"dim": dim,
|
|
"consistency_level": 0,
|
|
"enable_dynamic_field": False,
|
|
"num_partitions": 16,
|
|
"id_name": "id_string",
|
|
"vector_name": "embeddings"}
|
|
if nullable:
|
|
check_items["nullable_fields"] = ["nullable_field", "array_field"]
|
|
if add_field:
|
|
self.add_collection_field(client, collection_name, field_name="field_new_int64", data_type=DataType.INT64,
|
|
nullable=True, is_cluster_key=True)
|
|
self.add_collection_field(client, collection_name, field_name="field_new_var", data_type=DataType.VARCHAR,
|
|
nullable=True, default_vaule="field_new_var", max_length=64)
|
|
check_items["add_fields"] = ["field_new_int64", "field_new_var"]
|
|
self.describe_collection(client, collection_name,
|
|
check_task=CheckTasks.check_describe_collection_property,
|
|
check_items=check_items)
|
|
index = self.list_indexes(client, collection_name)[0]
|
|
assert index == ['embeddings']
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_collection_self_creation_multiple_vectors(self):
|
|
"""
|
|
target: test self create collection with multiple vectors
|
|
method: create collection with multiple vectors
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
dim = 128
|
|
# 1. create collection
|
|
schema = self.create_schema(client, enable_dynamic_field=False)[0]
|
|
schema.add_field("id_int64", DataType.INT64, is_primary=True, auto_id=False)
|
|
schema.add_field("embeddings", DataType.FLOAT_VECTOR, dim=dim)
|
|
schema.add_field("embeddings_1", DataType.INT8_VECTOR, dim=dim * 2)
|
|
schema.add_field("embeddings_2", DataType.FLOAT16_VECTOR, dim=int(dim / 2))
|
|
schema.add_field("embeddings_3", DataType.BFLOAT16_VECTOR, dim=int(dim / 2))
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index("embeddings", metric_type="COSINE")
|
|
index_params.add_index("embeddings_1", metric_type="IP")
|
|
index_params.add_index("embeddings_2", metric_type="L2")
|
|
index_params.add_index("embeddings_3", metric_type="COSINE")
|
|
# index_params.add_index("title")
|
|
self.create_collection(client, collection_name, dimension=dim, schema=schema, index_params=index_params)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
check_items = {"collection_name": collection_name,
|
|
"dim": [dim, dim * 2, int(dim / 2), int(dim / 2)],
|
|
"consistency_level": 0,
|
|
"enable_dynamic_field": False,
|
|
"id_name": "id_int64",
|
|
"vector_name": ["embeddings", "embeddings_1", "embeddings_2", "embeddings_3"]}
|
|
self.describe_collection(client, collection_name,
|
|
check_task=CheckTasks.check_describe_collection_property,
|
|
check_items=check_items)
|
|
index = self.list_indexes(client, collection_name)[0]
|
|
assert sorted(index) == sorted(['embeddings', 'embeddings_1', 'embeddings_2', 'embeddings_3'])
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_create_collection_dup_name(self):
|
|
"""
|
|
target: test create collection with same name
|
|
method: create collection with same name with same default params
|
|
expected: collection properties consistent
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
# 2. create collection with same params
|
|
self.create_collection(client, collection_name, default_dim)
|
|
|
|
collections = self.list_collections(client)[0]
|
|
collection_count = collections.count(collection_name)
|
|
assert collection_name in collections
|
|
assert collection_count == 1, f"Expected only 1 collection named '{collection_name}', but found {collection_count}"
|
|
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_create_collection_dup_name_same_schema(self):
|
|
"""
|
|
target: test create collection with dup name and same schema
|
|
method: create collection with dup name and same schema
|
|
expected: two collection object is available and properties consistent
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
dim = 128
|
|
description = "test collection description"
|
|
# Create schema
|
|
schema = self.create_schema(client, enable_dynamic_field=False, description=description)[0]
|
|
schema.add_field("id", DataType.INT64, is_primary=True, auto_id=False)
|
|
schema.add_field("float_field", DataType.FLOAT)
|
|
schema.add_field("varchar_field", DataType.VARCHAR, max_length=100)
|
|
schema.add_field("embeddings", DataType.FLOAT_VECTOR, dim=dim)
|
|
# 1. Create collection with specific schema
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
# Get first collection info
|
|
collection_info_1 = self.describe_collection(client, collection_name)[0]
|
|
description_1 = collection_info_1.get("description", "")
|
|
# 2. Create collection again with same name and same schema
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
# Verify collection still exists and properties are consistent
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
# Get second collection info and compare
|
|
collection_info_2 = self.describe_collection(client, collection_name)[0]
|
|
description_2 = collection_info_2.get("description", "")
|
|
# Verify collection properties are consistent
|
|
assert collection_info_1["collection_name"] == collection_info_2["collection_name"]
|
|
assert description_1 == description_2 == description
|
|
assert len(collection_info_1["fields"]) == len(collection_info_2["fields"])
|
|
# Verify field names and types are the same
|
|
fields_1 = {field["name"]: field["type"] for field in collection_info_1["fields"]}
|
|
fields_2 = {field["name"]: field["type"] for field in collection_info_2["fields"]}
|
|
assert fields_1 == fields_2
|
|
collection_count = collections.count(collection_name)
|
|
assert collection_count == 1, f"Expected only 1 collection named '{collection_name}', but found {collection_count}"
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_array_insert_search(self):
|
|
"""
|
|
target: test search (high level api) normal case
|
|
method: create connection, collection, insert and search
|
|
expected: search/query successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
# 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_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)]
|
|
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)]
|
|
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,
|
|
"pk_name": default_primary_key_field_name})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.skip(reason="issue 25110")
|
|
def test_milvus_client_search_query_string(self):
|
|
"""
|
|
target: test search (high level api) for string primary key
|
|
method: create connection, collection, insert and search
|
|
expected: search/query successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
|
|
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})
|
|
# 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)]
|
|
self.insert(client, collection_name, rows)
|
|
# self.flush(client, collection_name)
|
|
# assert self.num_entities(client, collection_name)[0] == default_nb
|
|
# 3. search
|
|
vectors_to_search = rng.random((1, default_dim))
|
|
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),
|
|
"pk_name": default_primary_key_field_name,
|
|
"limit": default_limit})
|
|
# 4. query
|
|
self.query(client, collection_name, filter="id in [0, 1]",
|
|
check_task=CheckTasks.check_query_results,
|
|
check_items={exp_res: rows,
|
|
"with_vec": True,
|
|
"pk_name": default_primary_key_field_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):
|
|
"""
|
|
target: test search (high level api) normal case
|
|
method: create connection, collection, insert and search
|
|
expected: search successfully with limit(topK)
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
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)
|
|
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)
|
|
self.insert(client, collection_name, rows)
|
|
# 3. search
|
|
vectors_to_search = rng.random((1, default_dim))
|
|
# search_params = {"metric_type": metric_type}
|
|
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),
|
|
"pk_name": default_primary_key_field_name,
|
|
"limit": default_limit})
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
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)
|
|
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)
|
|
self.insert(client, collection_name, rows)
|
|
# 3. search
|
|
vectors_to_search = rng.random((1, default_dim))
|
|
search_params = {"metric_type": metric_type}
|
|
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),
|
|
"pk_name": default_primary_key_field_name,
|
|
"limit": default_limit})
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
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 = self.insert(client, collection_name, rows)[0]
|
|
# 3. delete
|
|
delete_num = 3
|
|
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)]
|
|
for insert_id in range(delete_num):
|
|
if insert_id in insert_ids:
|
|
insert_ids.remove(insert_id)
|
|
limit = default_nb - delete_num
|
|
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,
|
|
"pk_name": default_primary_key_field_name})
|
|
# 5. query
|
|
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,
|
|
"pk_name": default_primary_key_field_name})
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
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 = self.insert(client, collection_name, rows)[0]
|
|
# 3. delete
|
|
delete_num = 3
|
|
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)]
|
|
for insert_id in range(delete_num):
|
|
if insert_id in insert_ids:
|
|
insert_ids.remove(insert_id)
|
|
limit = default_nb - delete_num
|
|
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,
|
|
"pk_name": default_primary_key_field_name})
|
|
# 5. query
|
|
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,
|
|
"pk_name": default_primary_key_field_name})
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
old_name = collection_name
|
|
new_name = collection_name + "new"
|
|
self.rename_collection(client, old_name, new_name)
|
|
collections = self.list_collections(client)[0]
|
|
assert new_name in collections
|
|
assert old_name not in collections
|
|
self.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 = self.list_indexes(client, new_name)[0]
|
|
assert index == ['vector']
|
|
# load_state = self.get_load_state(collection_name)[0]
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found"}
|
|
self.load_partitions(client, old_name, "_default",
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
self.load_partitions(client, new_name, "_default")
|
|
self.release_partitions(client, new_name, "_default")
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
db_name = "new_db"
|
|
self.using_database(client, db_name)
|
|
old_name = collection_name
|
|
new_name = collection_name + "new"
|
|
self.rename_collection(client, old_name, new_name, target_db=db_name)
|
|
collections = self.list_collections(client)[0]
|
|
assert new_name in collections
|
|
assert old_name not in collections
|
|
self.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 = self.list_indexes(client, new_name)[0]
|
|
assert index == ['vector']
|
|
# load_state = self.get_load_state(collection_name)[0]
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found"}
|
|
self.load_partitions(client, old_name, "_default",
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
self.load_partitions(client, new_name, "_default")
|
|
self.release_partitions(client, new_name, "_default")
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.drop_collection(client, new_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_collection_dup_name_drop(self):
|
|
"""
|
|
target: test collection with dup name, and drop
|
|
method: 1. create collection with client1
|
|
2. create collection with client2 with same name
|
|
3. use client2 to drop collection
|
|
4. verify collection is dropped and client1 operations fail
|
|
expected: collection is successfully dropped and subsequent operations from the first client should fail with collection not found error
|
|
"""
|
|
client1 = self._client(alias="client1")
|
|
client2 = self._client(alias="client2")
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# 1. Create collection with client1
|
|
self.create_collection(client1, collection_name, default_dim)
|
|
# 2. Create collection with client2 using same name
|
|
self.create_collection(client2, collection_name, default_dim)
|
|
# 3. Use client2 to drop collection
|
|
self.drop_collection(client2, collection_name)
|
|
# 4. Verify collection is deleted
|
|
has_collection = self.has_collection(client1, collection_name)[0]
|
|
assert not has_collection
|
|
error = {ct.err_code: 100, ct.err_msg: f"can't find collection[database=default]"
|
|
f"[collection={collection_name}]"}
|
|
self.describe_collection(client1, collection_name, check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_collection_long_desc(self):
|
|
"""
|
|
target: test create collection with long description
|
|
method: create collection with description longer than 255 characters
|
|
expected: collection created successfully with long description
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# Create long description
|
|
long_desc = "a".join("a" for _ in range(256))
|
|
|
|
# Create schema with long description
|
|
schema = self.create_schema(client, enable_dynamic_field=False, description=long_desc)[0]
|
|
schema.add_field("id", DataType.INT64, is_primary=True, auto_id=False)
|
|
schema.add_field("embeddings", DataType.FLOAT_VECTOR, dim=default_dim)
|
|
|
|
# Create collection with long description
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
collection_info = self.describe_collection(client, collection_name)[0]
|
|
actual_desc = collection_info.get("description", "")
|
|
assert actual_desc == long_desc
|
|
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("collection_name", ct.valid_resource_names)
|
|
def test_milvus_client_collection_valid_naming_rules(self, collection_name):
|
|
"""
|
|
target: test create collection with valid names following naming rules
|
|
method: 1. create collection using names that follow all supported naming rule elements
|
|
2. create fields with names that also use naming rule elements
|
|
3. verify collection is created successfully with correct properties
|
|
expected: collection created successfully for all valid names
|
|
"""
|
|
client = self._client()
|
|
|
|
# Create schema with fields that also use naming rule elements
|
|
schema = self.create_schema(client, enable_dynamic_field=False)[0]
|
|
schema.add_field(ct.default_int64_field_name, DataType.INT64, is_primary=True, auto_id=False)
|
|
schema.add_field("_1nt", DataType.INT64) # field name using naming rule elements
|
|
schema.add_field("f10at_", DataType.FLOAT_VECTOR, dim=default_dim) # vector field with naming elements
|
|
|
|
# Create collection with valid name
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
|
|
collection_info = self.describe_collection(client, collection_name)[0]
|
|
assert collection_info["collection_name"] == collection_name
|
|
|
|
field_names = [field["name"] for field in collection_info["fields"]]
|
|
assert ct.default_int64_field_name in field_names
|
|
assert "_1nt" in field_names
|
|
assert "f10at_" in field_names
|
|
|
|
self.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestMilvusClientDropCollectionInvalid(TestMilvusClientV2Base):
|
|
""" 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", "%$#"])
|
|
@pytest.mark.skip(reason="https://github.com/milvus-io/milvus/pull/43064 change drop alias restraint")
|
|
def test_milvus_client_drop_collection_invalid_collection_name(self, name):
|
|
"""
|
|
target: Test drop collection with invalid params
|
|
method: drop collection with invalid collection name
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
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"}
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str("nonexisted")
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("collection_name", ['', None])
|
|
def test_milvus_client_drop_collection_with_empty_or_None_collection_name(self, collection_name):
|
|
"""
|
|
target: test drop invalid collection
|
|
method: drop collection with empty or None collection name
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
# Set different error messages based on collection_name value
|
|
error = {ct.err_code: 1, ct.err_msg: f"`collection_name` value {collection_name} is illegal"}
|
|
self.drop_collection(client, collection_name, check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
class TestMilvusClientReleaseCollectionInvalid(TestMilvusClientV2Base):
|
|
""" 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._client()
|
|
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"}
|
|
self.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._client()
|
|
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}]"}
|
|
self.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._client()
|
|
# 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"}
|
|
self.release_collection(client, collection_name, default_dim,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientReleaseCollectionValid(TestMilvusClientV2Base):
|
|
""" 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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.release_collection(client, collection_name)
|
|
self.release_collection(client, collection_name)
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
partition_name = cf.gen_unique_str("partition")
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.release_partitions(client, collection_name, ["_default", partition_name])
|
|
self.release_collection(client, collection_name)
|
|
self.load_collection(client, collection_name)
|
|
self.release_partitions(client, collection_name, [partition_name])
|
|
self.release_collection(client, collection_name)
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestMilvusClientLoadCollectionInvalid(TestMilvusClientV2Base):
|
|
""" 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._client()
|
|
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"}
|
|
self.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._client()
|
|
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}]"}
|
|
self.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._client()
|
|
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"}
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.release_collection(client, collection_name)
|
|
self.drop_index(client, collection_name, "vector")
|
|
error = {ct.err_code: 700, ct.err_msg: f"index not found[collection={collection_name}]"}
|
|
self.load_collection(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestMilvusClientLoadCollectionValid(TestMilvusClientV2Base):
|
|
""" 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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.load_collection(client, collection_name)
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
partition_name = cf.gen_unique_str("partition")
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.release_collection(client, collection_name)
|
|
self.load_partitions(client, collection_name, [partition_name])
|
|
self.load_collection(client, collection_name)
|
|
self.release_collection(client, collection_name)
|
|
self.load_partitions(client, collection_name, ["_default", partition_name])
|
|
self.load_collection(client, collection_name)
|
|
if self.has_collection(client, collection_name)[0]:
|
|
self.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestMilvusClientDescribeCollectionInvalid(TestMilvusClientV2Base):
|
|
""" 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._client()
|
|
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"}
|
|
self.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._client()
|
|
collection_name = "nonexisted"
|
|
error = {ct.err_code: 100, ct.err_msg: "can't find collection[database=default][collection=nonexisted]"}
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.drop_collection(client, collection_name)
|
|
error = {ct.err_code: 100, ct.err_msg: f"can't find collection[database=default][collection={collection_name}]"}
|
|
self.describe_collection(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientHasCollectionInvalid(TestMilvusClientV2Base):
|
|
""" 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", "%$#"])
|
|
def test_milvus_client_has_collection_invalid_collection_name(self, name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._client()
|
|
error = {ct.err_code: 1100,
|
|
ct.err_msg: f"Invalid collection name: {name}. "
|
|
f"the first character of a collection name must be an underscore or letter"}
|
|
self.has_collection(client, name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_has_collection_not_existed(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = "nonexisted"
|
|
result = self.has_collection(client, collection_name)[0]
|
|
assert result == False
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_has_collection_deleted_collection(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.drop_collection(client, collection_name)
|
|
result = self.has_collection(client, collection_name)[0]
|
|
assert result == False
|
|
|
|
|
|
class TestMilvusClientRenameCollectionInValid(TestMilvusClientV2Base):
|
|
""" Test case of rename collection interface """
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are valid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
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._client()
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=1][collection={name}]"}
|
|
self.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._client()
|
|
collection_name = "nonexisted"
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=1][collection={collection_name}]"}
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.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"}
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.drop_collection(client, collection_name)
|
|
error = {ct.err_code: 100, ct.err_msg: f"{collection_name}: collection not found[collection=default]"}
|
|
self.rename_collection(client, collection_name, "new_collection",
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientRenameCollectionValid(TestMilvusClientV2Base):
|
|
""" 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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 2. rename with invalid new_name
|
|
new_name = "new_name_rename"
|
|
self.create_collection(client, collection_name, default_dim)
|
|
times = 3
|
|
for _ in range(times):
|
|
self.rename_collection(client, collection_name, new_name)
|
|
self.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._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
another_collection_name = cf.gen_unique_str("another_collection")
|
|
# 1. create 2 collections
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.create_collection(client, another_collection_name, default_dim)
|
|
# 2. drop one collection
|
|
self.drop_collection(client, another_collection_name)
|
|
# 3. rename to dropped collection
|
|
self.rename_collection(client, collection_name, another_collection_name)
|
|
|
|
|
|
class TestMilvusClientUsingDatabaseInvalid(TestMilvusClientV2Base):
|
|
""" Test case of using database interface """
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.skip(reason="pymilvus issue 1900")
|
|
@pytest.mark.parametrize("db_name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_using_database_not_exist_db_name(self, db_name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
# db_name = cf.gen_unique_str("nonexisted")
|
|
error = {ct.err_code: 999, ct.err_msg: f"database not found[database={db_name}]"}
|
|
self.using_database(client, db_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.skip(reason="# this case is dup to using a non exist db name, try to add one for create database")
|
|
def test_milvus_client_using_database_db_name_over_max_length(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
pass
|
|
|
|
class TestMilvusClientCollectionPropertiesInvalid(TestMilvusClientV2Base):
|
|
""" Test case of alter/drop collection properties """
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("alter_name", ["%$#", "test", " "])
|
|
def test_milvus_client_alter_collection_properties_invalid_collection_name(self, alter_name):
|
|
"""
|
|
target: test alter collection properties with invalid collection name
|
|
method: alter collection properties with non-existent collection name
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
# alter collection properties
|
|
properties = {'mmap.enabled': True}
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default][collection={alter_name}]"}
|
|
self.alter_collection_properties(client, alter_name, properties,
|
|
check_task=CheckTasks.err_res,
|
|
check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("properties", [""])
|
|
def test_milvus_client_alter_collection_properties_invalid_properties(self, properties):
|
|
"""
|
|
target: test alter collection properties with invalid properties
|
|
method: alter collection properties with invalid properties
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
|
|
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})
|
|
error = {ct.err_code: 1, ct.err_msg: f"`properties` value {properties} is illegal"}
|
|
self.alter_collection_properties(client, collection_name, properties,
|
|
check_task=CheckTasks.err_res,
|
|
check_items=error)
|
|
|
|
self.drop_collection(client, collection_name)
|
|
|
|
#TODO properties with non-existent params
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("drop_name", ["%$#", "test", " "])
|
|
def test_milvus_client_drop_collection_properties_invalid_collection_name(self, drop_name):
|
|
"""
|
|
target: test drop collection properties with invalid collection name
|
|
method: drop collection properties with non-existent collection name
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
# drop collection properties
|
|
properties = {'mmap.enabled': True}
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default][collection={drop_name}]"}
|
|
self.drop_collection_properties(client, drop_name, properties,
|
|
check_task=CheckTasks.err_res,
|
|
check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("property_keys", ["", {}, []])
|
|
def test_milvus_client_drop_collection_properties_invalid_properties(self, property_keys):
|
|
"""
|
|
target: test drop collection properties with invalid properties
|
|
method: drop collection properties with invalid properties
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, id_type="string", max_length=ct.default_length)
|
|
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})
|
|
error = {ct.err_code: 65535, ct.err_msg: f"The collection properties to alter and keys to delete must not be empty at the same time"}
|
|
self.drop_collection_properties(client, collection_name, property_keys,
|
|
check_task=CheckTasks.err_res,
|
|
check_items=error)
|
|
|
|
self.drop_collection(client, collection_name)
|
|
|
|
#TODO properties with non-existent params
|
|
|
|
|
|
class TestMilvusClientCollectionPropertiesValid(TestMilvusClientV2Base):
|
|
""" Test case of alter/drop collection properties """
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are valid base cases
|
|
******************************************************************
|
|
"""
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_collection_alter_collection_properties(self):
|
|
"""
|
|
target: test alter collection
|
|
method: alter collection
|
|
expected: alter successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
self.using_database(client, "default")
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
self.release_collection(client, collection_name)
|
|
properties = {"mmap.enabled": True}
|
|
self.alter_collection_properties(client, collection_name, properties)
|
|
describe = self.describe_collection(client, collection_name)[0].get("properties")
|
|
assert describe["mmap.enabled"] == 'True'
|
|
self.release_collection(client, collection_name)
|
|
properties = {"mmap.enabled": False}
|
|
self.alter_collection_properties(client, collection_name, properties)
|
|
describe = self.describe_collection(client, collection_name)[0].get("properties")
|
|
assert describe["mmap.enabled"] == 'False'
|
|
#TODO add case that confirm the parameter is actually valid
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_collection_drop_collection_properties(self):
|
|
"""
|
|
target: test drop collection
|
|
method: drop collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_unique_str(prefix)
|
|
self.using_database(client, "default")
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
collections = self.list_collections(client)[0]
|
|
assert collection_name in collections
|
|
self.release_collection(client, collection_name)
|
|
properties = {"mmap.enabled": True}
|
|
self.alter_collection_properties(client, collection_name, properties)
|
|
describe = self.describe_collection(client, collection_name)[0].get("properties")
|
|
assert describe["mmap.enabled"] == 'True'
|
|
property_keys = ["mmap.enabled"]
|
|
self.drop_collection_properties(client, collection_name, property_keys)
|
|
describe = self.describe_collection(client, collection_name)[0].get("properties")
|
|
assert "mmap.enabled" not in describe
|
|
#TODO add case that confirm the parameter is actually invalid
|
|
self.drop_collection(client, collection_name) |