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2623 lines
124 KiB
Python
2623 lines
124 KiB
Python
import threading
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import pytest
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from base.client_v2_base import TestMilvusClientV2Base
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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 pymilvus.client.types import LoadState
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prefix = "milvus_client_api_partition"
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partition_prefix = "milvus_client_api_partition"
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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 TestMilvusClientPartitionInvalid(TestMilvusClientV2Base):
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""" Test case of search 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_partition_invalid_collection_name(self, collection_name):
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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._client()
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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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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self.create_partition(client, collection_name, partition_name,
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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_partition_collection_name_over_max_length(self):
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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._client()
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collection_name = "a".join("a" for i in range(256))
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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error = {ct.err_code: 1100,
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ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
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f"must be less than 255 characters: invalid parameter"}
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self.create_partition(client, collection_name, partition_name,
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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_partition_not_exist_collection_name(self):
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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._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default]"
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f"[collection={collection_name}]"}
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self.create_partition(client, collection_name, partition_name,
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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("partition_name", ["12 s", "(mn)", "中文", "%$#"])
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def test_milvus_client_partition_invalid_partition_name(self, partition_name):
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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._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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# 2. create partition
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self.create_collection(client, collection_name, default_dim)
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error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}"}
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self.create_partition(client, collection_name, partition_name,
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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_partition_name_lists(self):
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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._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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partition_names = [cf.gen_unique_str(partition_prefix), cf.gen_unique_str(partition_prefix)]
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# 2. create partition
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self.create_collection(client, collection_name, default_dim)
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error = {ct.err_code: 999, ct.err_msg: f"`partition_name` value {partition_names} is illegal"}
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self.create_partition(client, collection_name, partition_names,
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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="Take much running time")
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def test_milvus_client_create_over_max_partition_num(self):
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"""
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target: test create more than maximum partitions
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method: create 4097 partitions
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expected: raise exception
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"""
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client = self._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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partition_nums = 4095
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# 1. create collection
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self.create_collection(client, collection_name, default_dim)
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for i in range(partition_nums):
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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self.create_partition(client, collection_name, partition_name)
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results = self.list_partitions(client, collection_name)[0]
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assert len(results) == partition_nums + 1
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partition_name = cf.gen_unique_str(partition_prefix)
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error = {ct.err_code: 65535, ct.err_msg: f"partition number (4096) exceeds max configuration (4096), "
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f"collection: {collection_name}"}
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self.create_partition(client, collection_name, partition_name,
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check_task=CheckTasks.err_res, check_items=error)
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class TestMilvusClientPartitionValid(TestMilvusClientV2Base):
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""" Test case of search 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.skip(reason="pymilvus issue 1880")
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def test_milvus_client_partition_default(self):
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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._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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partition_name = cf.gen_unique_str(partition_prefix)
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# 1. create collection
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self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
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# 2. create partition
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self.create_partition(client, collection_name, partition_name)
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partitions = self.list_partitions(client, collection_name)[0]
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assert partition_name in partitions
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index = self.list_indexes(client, collection_name)[0]
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assert index == ['vector']
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# load_state = self.get_load_state(collection_name)[0]
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# 3. insert
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rng = np.random.default_rng(seed=19530)
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rows = [{default_primary_key_field_name: 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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self.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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self.search(client, collection_name, vectors_to_search,
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partition_names=partitions,
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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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"pk_name": default_primary_key_field_name,
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"limit": default_limit})
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# 4. query
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res = self.query(client, collection_name, filter=default_search_exp,
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output_fields=["vector"], partition_names=partitions,
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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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"pk_name": default_primary_key_field_name})[0]
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assert set(res[0].keys()) == {"ids", "vector"}
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partition_number = self.get_partition_stats(client, collection_name, "_default")[0]
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assert partition_number == default_nb
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partition_number = self.get_partition_stats(client, collection_name, partition_name)[0]
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assert partition_number[0]['value'] == 0
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if self.has_partition(client, collection_name, partition_name)[0]:
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self.release_partitions(client, collection_name, partition_name)
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self.drop_partition(client, collection_name, partition_name)
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if self.has_collection(client, collection_name)[0]:
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self.drop_collection(client, collection_name)
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@pytest.mark.tags(CaseLabel.L2)
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def test_milvus_client_create_partition_name_existed(self):
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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 partition successfully with only one partition created
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"""
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client = self._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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self.create_collection(client, collection_name, default_dim)
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self.create_partition(client, collection_name, "_default")
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results = self.list_partitions(client, collection_name)[0]
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assert len(results) == 1
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self.create_partition(client, collection_name, partition_name)
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results1 = self.list_partitions(client, collection_name)[0]
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assert len(results1) == 2
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assert partition_name in results1
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self.create_partition(client, collection_name, partition_name)
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results2 = self.list_partitions(client, collection_name)[0]
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assert len(results2) == 2
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assert partition_name in results2
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# verify partition list is identical after duplicate creation
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assert results1 == results2
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@pytest.mark.tags(CaseLabel.L2)
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def test_milvus_client_drop_partition_not_exist_partition(self):
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"""
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target: test drop not exist partition
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method: create collection
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expected: drop successfully
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"""
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client = self._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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partition_name = cf.gen_unique_str("partition_not_exist")
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# 2. create partition
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self.create_collection(client, collection_name, default_dim)
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self.drop_partition(client, collection_name, partition_name)
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@pytest.mark.tags(CaseLabel.L2)
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def test_milvus_client_drop_partition_collection_partition_not_match(self):
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"""
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target: test drop partition in another collection
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method: drop partition in another collection
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expected: drop successfully without any operations
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"""
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client = self._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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another_collection_name = cf.gen_collection_name_by_testcase_name()
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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self.create_collection(client, collection_name, default_dim)
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self.create_partition(client, collection_name, partition_name)
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self.create_collection(client, another_collection_name, default_dim)
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self.drop_partition(client, another_collection_name, partition_name)
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@pytest.mark.tags(CaseLabel.L2)
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def test_milvus_client_has_partition_collection_partition_not_match(self):
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"""
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target: test drop partition in another collection
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method: drop partition in another collection
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expected: drop successfully without any operations
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"""
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client = self._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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another_collection_name = cf.gen_collection_name_by_testcase_name()
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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self.create_collection(client, collection_name, default_dim)
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self.create_partition(client, collection_name, partition_name)
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self.create_collection(client, another_collection_name, default_dim)
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result = self.has_partition(client, another_collection_name, partition_name)[0]
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assert result is False
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class TestMilvusClientDropPartitionInvalid(TestMilvusClientV2Base):
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""" Test case of search 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_drop_partition_invalid_collection_name(self, collection_name):
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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._client()
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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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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self.drop_partition(client, collection_name, partition_name,
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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_drop_partition_collection_name_over_max_length(self):
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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._client()
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collection_name = "a".join("a" for i in range(256))
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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error = {ct.err_code: 1100,
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ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
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f"must be less than 255 characters: invalid parameter"}
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self.drop_partition(client, collection_name, partition_name,
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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_drop_partition_not_exist_collection_name(self):
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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._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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partition_name = cf.gen_unique_str(partition_prefix)
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# 2. create partition
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error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default]"
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f"[collection={collection_name}]"}
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self.drop_partition(client, collection_name, partition_name,
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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("partition_name", ["12 s", "(mn)", "中文", "%$#"])
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def test_milvus_client_drop_partition_invalid_partition_name(self, partition_name):
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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._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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# 2. create partition
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self.create_collection(client, collection_name, default_dim)
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error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}."}
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self.drop_partition(client, collection_name, partition_name,
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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_drop_partition_none_partition_name(self):
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"""
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target: test drop partition with None partition name
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method: call drop_partition with partition_name=None
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expected: raise ParamError
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"""
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client = self._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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self.create_collection(client, collection_name, default_dim)
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error = {ct.err_code: 1, ct.err_msg: "`partition_name` value None is illegal"}
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self.drop_partition(client, collection_name, None,
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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_drop_partition_name_lists(self):
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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._client()
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collection_name = cf.gen_collection_name_by_testcase_name()
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partition_names = [cf.gen_unique_str(partition_prefix), cf.gen_unique_str(partition_prefix)]
|
|
# 2. create partition
|
|
self.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 1, ct.err_msg: f"`partition_name` value {partition_names} is illegal"}
|
|
self.drop_partition(client, collection_name, partition_names,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientReleasePartitionInvalid(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"])
|
|
def metric_type(self, request):
|
|
yield request.param
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("collection_name", ["12-s", "12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_release_partition_invalid_collection_name(self, collection_name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._client()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 2. create partition
|
|
error = {ct.err_code: 999, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
|
|
f"collection name must be an underscore or letter: invalid parameter"}
|
|
self.release_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_release_partition_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()
|
|
collection_name = "a".join("a" for i in range(256))
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 2. create partition
|
|
error = {ct.err_code: 999,
|
|
ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
|
|
f"must be less than 255 characters: invalid parameter"}
|
|
self.release_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_release_partition_not_exist_collection_name(self):
|
|
"""
|
|
target: test release partition -- not exist collection name
|
|
method: release partition with not exist collection name
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 2. create partition
|
|
error = {ct.err_code: 999, ct.err_msg: f"collection not found[database=default]"
|
|
f"[collection={collection_name}]"}
|
|
self.release_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.skip(reason="pymilvus issue 1896")
|
|
@pytest.mark.parametrize("partition_name", ["12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_release_partition_invalid_partition_name(self, partition_name):
|
|
"""
|
|
target: test release partition -- invalid partition name value
|
|
method: release partition with invalid partition name value
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# 2. create partition
|
|
self.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}. The first character of a "
|
|
f"partition name must be an underscore or letter.]"}
|
|
self.release_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.skip(reason="pymilvus issue 1896")
|
|
def test_milvus_client_release_partition_invalid_partition_name_list(self):
|
|
"""
|
|
target: test release partition -- invalid partition name value
|
|
method: release partition with invalid partition name value
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# 2. create partition
|
|
self.create_collection(client, collection_name, default_dim)
|
|
partition_name = ["12-s"]
|
|
error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}. The first character of a "
|
|
f"partition name must be an underscore or letter.]"}
|
|
self.release_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_release_partition_name_lists_empty(self):
|
|
"""
|
|
target: test fast release partition -- invalid partition name type
|
|
method: release partition with invalid partition name type
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_names = []
|
|
# 2. create partition
|
|
self.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 999, ct.err_msg: f"invalid parameter[expected=any partition][actual=empty partition list"}
|
|
self.release_partitions(client, collection_name, partition_names,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_release_partition_name_lists_not_all_exists(self):
|
|
"""
|
|
target: test fast release partition -- invalid partition name type
|
|
method: release partition with invalid partition name type
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
not_exist_partition = cf.gen_unique_str("partition_not_exist")
|
|
partition_names = ["_default", not_exist_partition]
|
|
# 2. create partition
|
|
self.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 999, ct.err_msg: f"partition not found[partition={not_exist_partition}]"}
|
|
self.release_partitions(client, collection_name, partition_names,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.skip("https://github.com/milvus-io/milvus/issues/38223")
|
|
def test_milvus_client_release_not_exist_partition_name(self):
|
|
"""
|
|
target: test fast release partition -- invalid partition name type
|
|
method: release partition with invalid partition name type
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str("partition_not_exist")
|
|
# 2. create partition
|
|
error = {ct.err_code: 200, ct.err_msg: f"partition not found[partition={partition_name}]"}
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.release_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
partition_name = ""
|
|
error = {ct.err_code: 200, ct.err_msg: f"partition not found[partition={partition_name}]"}
|
|
self.release_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_release_partition_after_disconnect(self):
|
|
"""
|
|
target: test release partition without connection
|
|
method: release partition with correct params, with a disconnected instance
|
|
expected: release raise exception
|
|
"""
|
|
client_temp = self._client(alias="client_release_partition")
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str("partition")
|
|
# Create collection and partition
|
|
self.create_collection(client_temp, collection_name, default_dim)
|
|
self.create_partition(client_temp, collection_name, partition_name)
|
|
# Load partition first
|
|
self.load_partitions(client_temp, collection_name, [partition_name])
|
|
# Close the client connection
|
|
self.close(client_temp)
|
|
# Try to release partition after disconnect - should raise exception
|
|
error = {ct.err_code: 1, ct.err_msg: 'should create connection first'}
|
|
self.release_partitions(client_temp, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
def test_milvus_client_load_release_partition_after_collection_drop(self):
|
|
"""
|
|
target: test load and release partition after collection drop
|
|
method: load and release the partition after the collection has been dropped
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
description = cf.gen_unique_str("desc_")
|
|
# 1. Create collection and partition
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.create_partition(client, collection_name, partition_name, description=description)
|
|
# 2. Drop the collection
|
|
self.drop_collection(client, collection_name)
|
|
# 3. Try to load partition after collection drop - should raise exception
|
|
error = {ct.err_code: 100, ct.err_msg: "collection not found"}
|
|
self.load_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
# 4. Try to release partition after collection drop - should raise exception
|
|
self.release_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientReleasePartitionValid(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"])
|
|
def metric_type(self, request):
|
|
yield request.param
|
|
|
|
"""
|
|
******************************************************************
|
|
# The following are invalid base cases
|
|
******************************************************************
|
|
"""
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_partition_release_multiple_partitions(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_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
partition_names = ["_default", partition_name]
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
# 2. create partition
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.release_partitions(client, collection_name, partition_names)
|
|
self.release_partitions(client, collection_name, partition_names)
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_partition_release_unloaded_partition(self):
|
|
"""
|
|
target: test releasing a partition that has not been loaded
|
|
method: create a collection and a partition, do not load the partition, then release the partition twice
|
|
expected: releasing an unloaded partition should succeed and be idempotent
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
# 2. create partition
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.release_partitions(client, collection_name, partition_name)
|
|
self.release_partitions(client, collection_name, partition_name)
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_partition_release_unloaded_collection(self):
|
|
"""
|
|
target: Test releasing partitions after the collection has been released (unloaded)
|
|
method: 1. Create a collection and a partition
|
|
2. Release the entire collection (unload)
|
|
3. Attempt to release the partition after the collection is unloaded
|
|
expected: Releasing a partition after the collection is unloaded should succeed and be idempotent
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
# 2. create partition
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.release_collection(client, collection_name)
|
|
self.release_partitions(client, collection_name, partition_name)
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_partition_release_loaded_partition(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_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
# 2. create partition
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.load_partitions(client, collection_name, partition_name)
|
|
self.release_partitions(client, collection_name, partition_name)
|
|
self.drop_collection(client, collection_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_partition_release_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_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
# 2. create partition
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.load_collection(client, collection_name)
|
|
self.release_partitions(client, collection_name, partition_name)
|
|
self.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestMilvusClientListPartitionInvalid(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"])
|
|
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_list_partitions_invalid_collection_name(self, collection_name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._client()
|
|
# 2. create partition
|
|
error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
|
|
f"collection name must be an underscore or letter: invalid parameter"}
|
|
self.list_partitions(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_list_partitions_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()
|
|
collection_name = "a".join("a" for i in range(256))
|
|
# 2. create partition
|
|
error = {ct.err_code: 1100,
|
|
ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
|
|
f"must be less than 255 characters: invalid parameter"}
|
|
self.list_partitions(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_list_partitions_not_exist_collection_name(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_collection_name_by_testcase_name()
|
|
# 2. create partition
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default]"
|
|
f"[collection={collection_name}]"}
|
|
self.list_partitions(client, collection_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientHasPartitionInvalid(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"])
|
|
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_has_partition_invalid_collection_name(self, collection_name):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: create collection with default schema, index, and load successfully
|
|
"""
|
|
client = self._client()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 2. create partition
|
|
error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {collection_name}. the first character of a "
|
|
f"collection name must be an underscore or letter: invalid parameter"}
|
|
self.has_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_has_partition_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()
|
|
collection_name = "a".join("a" for i in range(256))
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 2. create partition
|
|
error = {ct.err_code: 1100,
|
|
ct.err_msg: f"Invalid collection name: {collection_name}. the length of a collection name "
|
|
f"must be less than 255 characters: invalid parameter"}
|
|
self.has_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_has_partition_not_exist_collection_name(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_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 2. create partition
|
|
error = {ct.err_code: 100, ct.err_msg: f"collection not found[database=default]"
|
|
f"[collection={collection_name}]"}
|
|
self.has_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("partition_name", ["12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_has_partition_invalid_partition_name(self, partition_name):
|
|
"""
|
|
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_collection_name_by_testcase_name()
|
|
# 2. create partition
|
|
self.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}"}
|
|
self.has_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_has_partition_none_partition_name(self):
|
|
"""
|
|
target: test has_partition with None partition name
|
|
method: call has_partition with partition_name=None
|
|
expected: raise ParamError
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
self.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 1, ct.err_msg: "`partition_name` value None is illegal"}
|
|
self.has_partition(client, collection_name, None,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_has_partition_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()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = "a".join("a" for i in range(256))
|
|
# 2. create partition
|
|
self.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 65535, ct.err_msg: f"Invalid partition name: {partition_name}. "
|
|
f"The length of a partition name must be less than 255 characters"}
|
|
self.has_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_has_partition_name_lists(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_collection_name_by_testcase_name()
|
|
partition_names = [cf.gen_unique_str(partition_prefix), cf.gen_unique_str(partition_prefix)]
|
|
# 2. create partition
|
|
self.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 1, ct.err_msg: f"`partition_name` value {partition_names} is illegal"}
|
|
self.has_partition(client, collection_name, partition_names,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_has_partition_not_exist_partition_name(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_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str("partition_not_exist")
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim)
|
|
# 2. create partition
|
|
result = self.has_partition(client, collection_name, partition_name)[0]
|
|
assert result == False
|
|
|
|
|
|
class TestMilvusClientLoadPartitionInvalid(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_partitions_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()
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
error = {ct.err_code: 1100, ct.err_msg: f"Invalid collection name: {name}. the first character "
|
|
f"of a collection name must be an underscore or letter"}
|
|
self.load_partitions(client, name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_partitions_not_existed(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
error = {ct.err_code: 1100, ct.err_msg: f"collection not found[database=default]"
|
|
f"[collection={collection_name}]"}
|
|
self.load_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_partitions_collection_name_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))
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
error = {ct.err_code: 1100, ct.err_msg: f"the length of a collection name must be less than 255 characters: "
|
|
f"invalid parameter"}
|
|
self.load_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("name", ["12 s", "(mn)", "中文", "%$#"])
|
|
def test_milvus_client_load_partitions_invalid_partition_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()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
# 2. load partition
|
|
error = {ct.err_code: 1100, ct.err_msg: f"partition not found[partition={name}]"}
|
|
self.load_partitions(client, collection_name, name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_partitions_partition_not_existed(self):
|
|
"""
|
|
target: test loading a non-existent partition
|
|
method: create a collection, then attempt to load a partition that does not exist
|
|
expected: returns an error indicating the partition is not found
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str("nonexisted")
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
# 2. load partition
|
|
error = {ct.err_code: 1100, ct.err_msg: f"partition not found[partition={partition_name}]"}
|
|
self.load_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_partitions_partition_name_over_max_length(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = "a".join("a" for i in range(256))
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
# 2. load partition
|
|
error = {ct.err_code: 1100, ct.err_msg: f"partition not found[partition={partition_name}]"}
|
|
self.load_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_partitions_without_index(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
# 2. drop index
|
|
self.release_collection(client, collection_name)
|
|
self.drop_index(client, collection_name, "vector")
|
|
# 2. load partition
|
|
error = {ct.err_code: 700, ct.err_msg: f"index not found[collection={collection_name}]"}
|
|
self.load_partitions(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_partition_after_disconnect(self):
|
|
"""
|
|
target: test load partition without connection
|
|
method: load partition with correct params, with a disconnected instance
|
|
expected: load raises exception
|
|
"""
|
|
client_temp = self._client(alias="client_load_partition")
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str("partition")
|
|
# Create collection and partition
|
|
self.create_collection(client_temp, collection_name, default_dim)
|
|
self.create_partition(client_temp, collection_name, partition_name)
|
|
# Load partition first
|
|
self.load_partitions(client_temp, collection_name, [partition_name])
|
|
# Close the client connection
|
|
self.close(client_temp)
|
|
# Try to release partition after disconnect - should raise exception
|
|
error = {ct.err_code: 1, ct.err_msg: 'should create connection first'}
|
|
self.load_partitions(client_temp, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
|
|
class TestMilvusClientLoadPartitionValid(TestMilvusClientV2Base):
|
|
""" Test case of load partition valid cases """
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_client_load_multiple_partition(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
partition_names = ["_default", partition_name]
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.release_collection(client, collection_name)
|
|
# 2. load partition
|
|
self.load_partitions(client, collection_name, partition_names)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_unloaded_default_partition(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.release_collection(client, collection_name)
|
|
# 2. load partition
|
|
self.load_partitions(client, collection_name, partition_name)
|
|
self.load_partitions(client, collection_name, "_default")
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_milvus_client_load_unloaded_partition(self):
|
|
"""
|
|
target: test fast create collection normal case
|
|
method: create collection
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 1. create collection
|
|
self.create_collection(client, collection_name, default_dim, consistency_level="Strong")
|
|
self.create_partition(client, collection_name, partition_name)
|
|
self.release_collection(client, collection_name)
|
|
# 2. load partition
|
|
self.load_partitions(client, collection_name, partition_name)
|
|
self.load_partitions(client, collection_name, partition_name)
|
|
self.load_collection(client, collection_name)
|
|
self.load_partitions(client, collection_name, partition_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
@pytest.mark.parametrize('binary_index_type', ct.binary_supported_index_types)
|
|
@pytest.mark.parametrize('metric_type', ct.binary_metrics)
|
|
def test_milvus_client_load_partition_after_index_binary(self, binary_index_type, metric_type):
|
|
"""
|
|
target: test load binary collection partition after index created
|
|
method: insert and create index, load binary collection partition with correct params
|
|
expected: no error raised
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
# 1. Create collection with binary vector
|
|
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(ct.default_float_field_name, DataType.FLOAT)
|
|
schema.add_field(ct.default_binary_vec_field_name, DataType.BINARY_VECTOR, dim=default_dim)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
# 2. Create partition
|
|
self.create_partition(client, collection_name, partition_name)
|
|
# 3. Insert some data
|
|
schema_info = self.describe_collection(client, collection_name)[0]
|
|
data = cf.gen_row_data_by_schema(nb=default_nb, schema=schema_info)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
self.flush(client, collection_name)
|
|
# 4. Create binary index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
binary_index = {"index_type": binary_index_type, "metric_type": metric_type, "params": {"nlist": 128}}
|
|
# Handle special case for BIN_IVF_FLAT with structure metrics
|
|
if binary_index_type == "BIN_IVF_FLAT" and metric_type in ct.structure_metrics:
|
|
# This combination should raise an error, so create with default instead
|
|
error = {ct.err_code: 65535,
|
|
ct.err_msg: f"metric type {metric_type} not found or not supported, supported: [HAMMING JACCARD]"}
|
|
index_params.add_index(field_name=ct.default_binary_vec_field_name,
|
|
index_type=binary_index_type, metric_type=metric_type, params={"nlist": 128})
|
|
self.create_index(client, collection_name, index_params,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
# Create with default binary index instead
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_binary_vec_field_name, **ct.default_bin_flat_index)
|
|
self.create_index(client, collection_name, index_params)
|
|
else:
|
|
index_params.add_index(field_name=ct.default_binary_vec_field_name, **binary_index)
|
|
self.create_index(client, collection_name, index_params)
|
|
# 5. Load the partition
|
|
self.release_collection(client, collection_name)
|
|
self.load_partitions(client, collection_name, [partition_name])
|
|
# 6. Verify partition is loaded by checking load state
|
|
load_state = self.get_load_state(client, collection_name)[0]
|
|
assert load_state["state"] == LoadState.Loaded
|
|
self.drop_collection(client, collection_name)
|
|
|
|
|
|
class TestPartitionParams(TestMilvusClientV2Base):
|
|
""" Test case of partition interface in parameters"""
|
|
|
|
@pytest.fixture(scope="function")
|
|
def default_schema(self):
|
|
def _create(client):
|
|
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(ct.default_float_field_name, DataType.FLOAT)
|
|
schema.add_field(ct.default_string_field_name, DataType.VARCHAR, max_length=ct.default_length)
|
|
schema.add_field(ct.default_float_vec_field_name, DataType.FLOAT_VECTOR, dim=ct.default_dim)
|
|
return schema
|
|
yield _create
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
def test_partition_default(self, default_schema):
|
|
"""
|
|
target: verify create a partition
|
|
method: create a partition
|
|
expected: create successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
# verify partition is empty with 0 entities
|
|
self.flush(client, collection_name)
|
|
p_stats = self.get_partition_stats(client, collection_name, partition_name)[0]
|
|
assert p_stats["row_count"] == 0
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("partition_name", [""])
|
|
def test_partition_empty_name(self, partition_name):
|
|
"""
|
|
target: verify create a partition with empty name
|
|
method: create a partition with empty name
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
self.create_collection(client, collection_name, default_dim)
|
|
error = {ct.err_code: 1, ct.err_msg: "Partition name should not be empty"}
|
|
self.create_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
def test_partition_default_name(self):
|
|
"""
|
|
target: verify create a partition with default name
|
|
method: 1. get the _default partition
|
|
2. create a partition with _default name
|
|
expected: the same partition returned
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
self.create_collection(client, collection_name, default_dim)
|
|
# check that the default partition exists
|
|
assert self.has_partition(client, collection_name, ct.default_partition_name)[0] is True
|
|
# check that list partitions contains _default
|
|
partitions = self.list_partitions(client, collection_name)[0]
|
|
assert ct.default_partition_name in partitions
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_max_length_name(self):
|
|
"""
|
|
target: verify create a partition with max length(256) name
|
|
method: create a partition with max length name
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
self.create_collection(client, collection_name, default_dim)
|
|
partition_name = cf.gen_str_by_length(256)
|
|
error = {ct.err_code: 65535,
|
|
ct.err_msg: f"Invalid partition name: {partition_name}. "
|
|
f"The length of a partition name must be less "
|
|
f"than 255 characters."}
|
|
self.create_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("partition_name", ["_Partiti0n", "pArt1_ti0n"])
|
|
def test_partition_naming_rules(self, partition_name):
|
|
"""
|
|
target: test partition naming rules
|
|
method: 1. Create a collection
|
|
2. Create a partition with a name which uses all the supported elements in the naming rules
|
|
expected: Partition create successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
self.create_collection(client, collection_name, default_dim)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0] is True
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("partition_name", ct.invalid_resource_names)
|
|
def test_partition_invalid_name(self, partition_name):
|
|
"""
|
|
target: verify create a partition with invalid name
|
|
method: create a partition with invalid names
|
|
expected: raise exception
|
|
"""
|
|
if partition_name == "12name":
|
|
pytest.skip(reason="won't fix issue #32998")
|
|
if partition_name == "n-ame":
|
|
pytest.skip(reason="https://github.com/milvus-io/milvus/issues/39432")
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
self.create_collection(client, collection_name, default_dim)
|
|
if partition_name is not None:
|
|
error = {ct.err_code: 999, ct.err_msg: f"Invalid partition name: {partition_name.strip()}"}
|
|
else:
|
|
error = {ct.err_code: 999, ct.err_msg: f"`partition_name` value {partition_name} is illegal"}
|
|
self.create_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_drop(self, default_schema):
|
|
"""
|
|
target: verify drop a partition in one collection
|
|
method: 1. create a partition in one collection
|
|
2. drop the partition
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0] is True
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0] is False
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_load_partition_respectively(self, default_schema):
|
|
"""
|
|
target: test release the partition after load partition
|
|
method: load partition1 and load another partition
|
|
expected: raise no exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name1 = cf.gen_unique_str(partition_prefix)
|
|
partition_name2 = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name1)
|
|
self.create_partition(client, collection_name, partition_name2)
|
|
# insert data
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name1)
|
|
self.insert(client, collection_name, data, partition_name=partition_name2)
|
|
# create index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name, index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
# load partitions respectively
|
|
self.load_partitions(client, collection_name, [partition_name1])
|
|
self.load_partitions(client, collection_name, [partition_name2])
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_release_partitions_after_load(self, default_schema):
|
|
"""
|
|
target: test release the partition after load partition
|
|
method: load partitions and release partitions
|
|
expected: no exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name1 = "partition_w1"
|
|
partition_name2 = "partition_w2"
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name1)
|
|
self.create_partition(client, collection_name, partition_name2)
|
|
# insert data
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name1)
|
|
self.insert(client, collection_name, data, partition_name=partition_name2)
|
|
# create index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name, index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
# load partitions
|
|
partition_names = [partition_name1, partition_name2]
|
|
self.load_partitions(client, collection_name, partition_names)
|
|
# release partitions
|
|
self.release_partitions(client, collection_name, partition_names)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_load_partition_after_load_partition(self, default_schema):
|
|
"""
|
|
target: test release the partition after load partition
|
|
method: load partition1 and release the partition1, then load partition2
|
|
expected: no exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name1 = cf.gen_unique_str(partition_prefix)
|
|
partition_name2 = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name1)
|
|
self.create_partition(client, collection_name, partition_name2)
|
|
# insert data
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name1)
|
|
self.insert(client, collection_name, data, partition_name=partition_name2)
|
|
# create index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name, index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
# load partition1
|
|
self.load_partitions(client, collection_name, [partition_name1])
|
|
# release partition1
|
|
self.release_partitions(client, collection_name, [partition_name1])
|
|
# load partition2
|
|
self.load_partitions(client, collection_name, [partition_name2])
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("replicas", [1.2, "not-int"])
|
|
def test_load_partition_replica_non_number(self, default_schema, replicas):
|
|
"""
|
|
target: test load partition with non-number replicas
|
|
method: load with non-number replicas
|
|
expected: raise exceptions
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
# insert data
|
|
data = cf.gen_default_rows_data(nb=100, with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
# create index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name, index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
# load with non-number replicas
|
|
error = {ct.err_code: 0, ct.err_msg: f"`replica_number` value {replicas} is illegal"}
|
|
self.load_partitions(client, collection_name, [partition_name],
|
|
replica_number=replicas,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("replicas", [0, -1])
|
|
def test_load_replica_invalid_number(self, default_schema, replicas):
|
|
"""
|
|
target: test load partition with 0 and negative number
|
|
method: load with 0 or -1
|
|
expected: load successful
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
# insert data
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
self.flush(client, collection_name)
|
|
assert self.get_partition_stats(client, collection_name, partition_name)[0]["row_count"] == ct.default_nb
|
|
# create index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name, index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
# load with invalid replica number
|
|
self.load_partitions(client, collection_name, [partition_name], replica_number=replicas)
|
|
# verify replica count
|
|
replicas_info = self.describe_replica(client, collection_name)[0]
|
|
assert len(replicas_info) == 1
|
|
# verify query works
|
|
query_res = self.query(client, collection_name,
|
|
filter=f"{ct.default_int64_field_name} in [0]",
|
|
partition_names=[partition_name])[0]
|
|
assert len(query_res) == 1
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_load_replica_greater_than_querynodes(self, default_schema):
|
|
"""
|
|
target: test load with replicas that greater than querynodes
|
|
method: load with 3 replicas (2 querynode)
|
|
expected: Verify load fails with resource insufficient error
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
# insert data
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
self.flush(client, collection_name)
|
|
assert self.get_partition_stats(client, collection_name, partition_name)[0]["row_count"] == ct.default_nb
|
|
# create index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name, index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
# load with 3 replicas
|
|
error = {ct.err_code: 65535,
|
|
ct.err_msg: "service resource insufficient"}
|
|
self.load_partitions(client, collection_name, [partition_name],
|
|
replica_number=3,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.ClusterOnly)
|
|
def test_load_replica_change(self, default_schema):
|
|
"""
|
|
target: test load replica change
|
|
method: 1.load with replica 1
|
|
2.load with a new replica number
|
|
3.release partition
|
|
4.load with a new replica
|
|
5.create index is a must because get_query_segment_info could
|
|
only return indexed and loaded segment
|
|
expected: The second time successfully loaded with a new replica number
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
# insert data
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
self.flush(client, collection_name)
|
|
assert self.get_partition_stats(client, collection_name, partition_name)[0]["row_count"] == ct.default_nb
|
|
# create index (IVF_SQ8, same as v1 ct.default_index)
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name,
|
|
index_type="IVF_SQ8", metric_type="COSINE", params={"nlist": 128})
|
|
self.create_index(client, collection_name, index_params)
|
|
# load with replica 1
|
|
self.load_partitions(client, collection_name, [partition_name], replica_number=1)
|
|
self.query(client, collection_name,
|
|
filter=f"{ct.default_int64_field_name} in [0]",
|
|
check_task=CheckTasks.check_query_results,
|
|
check_items={'exp_res': [data[0]],
|
|
"pk_name": ct.default_int64_field_name})
|
|
# load with replica 2 without release — should fail
|
|
error = {ct.err_code: 1100, ct.err_msg: "can't change the replica number for loaded partitions: "
|
|
"invalid parameter[expected=1][actual=2]"}
|
|
self.load_partitions(client, collection_name, [partition_name],
|
|
replica_number=2,
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
# release then load with replica 2
|
|
self.release_partitions(client, collection_name, [partition_name])
|
|
self.load_partitions(client, collection_name, [partition_name], replica_number=2)
|
|
self.query(client, collection_name,
|
|
filter=f"{ct.default_int64_field_name} in [0]",
|
|
check_task=CheckTasks.check_query_results,
|
|
check_items={'exp_res': [data[0]],
|
|
"pk_name": ct.default_int64_field_name})
|
|
# verify replica count
|
|
two_replicas = self.describe_replica(client, collection_name)[0]
|
|
assert len(two_replicas) == 2
|
|
# verify loaded segments included 2 replicas and twice num entities
|
|
seg_info = client._get_connection().get_query_segment_info(collection_name)
|
|
num_entities = 0
|
|
for seg in seg_info:
|
|
assert len(seg.nodeIds) == 2
|
|
num_entities += seg.num_rows
|
|
assert num_entities == ct.default_nb
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_release(self, default_schema):
|
|
"""
|
|
target: verify release partition
|
|
method: 1. create a collection and two partitions
|
|
2. insert data into each partition
|
|
3. flush and load the partition1
|
|
4. release partition1
|
|
5. release partition2
|
|
expected: 1. the 1st partition is released
|
|
2. the 2nd partition is released
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name1 = cf.gen_unique_str(partition_prefix)
|
|
partition_name2 = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
# create index (FLAT, same as v1 ct.default_flat_index)
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name, index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
# create two partitions
|
|
self.create_partition(client, collection_name, partition_name1)
|
|
self.create_partition(client, collection_name, partition_name2)
|
|
# insert data
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name1)
|
|
self.insert(client, collection_name, data, partition_name=partition_name2)
|
|
# load partition1
|
|
self.load_partitions(client, collection_name, [partition_name1])
|
|
# search partition1
|
|
search_vectors = cf.gen_vectors(1, ct.default_dim)
|
|
res = self.search(client, collection_name, data=search_vectors,
|
|
anns_field=ct.default_float_vec_field_name,
|
|
search_params={"nprobe": 32}, limit=1,
|
|
partition_names=[partition_name1])[0]
|
|
assert len(res) == 1
|
|
# release both partitions
|
|
self.release_partitions(client, collection_name, [partition_name1])
|
|
self.release_partitions(client, collection_name, [partition_name2])
|
|
# search after release — should fail
|
|
error = {ct.err_code: 65535, ct.err_msg: "collection not loaded"}
|
|
self.search(client, collection_name, data=search_vectors,
|
|
anns_field=ct.default_float_vec_field_name,
|
|
search_params={"nprobe": 32}, limit=1,
|
|
partition_names=[partition_name1],
|
|
check_task=CheckTasks.err_res, check_items=error)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_insert(self, default_schema):
|
|
"""
|
|
target: verify insert entities multiple times
|
|
method: 1. create a collection and a partition
|
|
2. partition.insert(data)
|
|
3. insert data again
|
|
expected: insert data successfully
|
|
"""
|
|
nums = 10
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0] is True
|
|
# insert data
|
|
data = cf.gen_default_rows_data(nb=nums, with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
self.flush(client, collection_name)
|
|
assert self.get_partition_stats(client, collection_name, partition_name)[0]["row_count"] == nums
|
|
# insert data again
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
self.flush(client, collection_name)
|
|
assert self.get_partition_stats(client, collection_name, partition_name)[0]["row_count"] == nums + nums
|
|
|
|
@pytest.mark.tags(CaseLabel.ClusterOnly)
|
|
def test_partition_replicas_change_cross_partitions(self, default_schema):
|
|
"""
|
|
target: test load with different replicas between partitions
|
|
method: 1.Create two partitions and insert data
|
|
2.Create index is a must because get_query_segment_info could
|
|
only return indexed and loaded segment
|
|
3.Load two partitions with different replicas
|
|
expected: Raise an exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
partition_name1 = cf.gen_unique_str(partition_prefix)
|
|
partition_name2 = cf.gen_unique_str(partition_prefix)
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
self.create_partition(client, collection_name, partition_name1)
|
|
self.create_partition(client, collection_name, partition_name2)
|
|
# insert data
|
|
data1 = cf.gen_default_rows_data(with_json=False)
|
|
data2 = cf.gen_default_rows_data(start=ct.default_nb, with_json=False)
|
|
self.insert(client, collection_name, data1, partition_name=partition_name1)
|
|
self.insert(client, collection_name, data2, partition_name=partition_name2)
|
|
self.flush(client, collection_name)
|
|
stats1 = self.get_partition_stats(client, collection_name, partition_name1)[0]["row_count"]
|
|
stats2 = self.get_partition_stats(client, collection_name, partition_name2)[0]["row_count"]
|
|
assert stats1 + stats2 == ct.default_nb * 2
|
|
# create index (IVF_SQ8, same as v1 ct.default_index)
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name,
|
|
index_type="IVF_SQ8", metric_type="COSINE", params={"nlist": 128})
|
|
self.create_index(client, collection_name, index_params)
|
|
# load with different replicas
|
|
self.load_partitions(client, collection_name, [partition_name1], replica_number=1)
|
|
self.release_partitions(client, collection_name, [partition_name1])
|
|
self.load_partitions(client, collection_name, [partition_name2], replica_number=2)
|
|
# verify replica count — v2 describe_replica is collection-level
|
|
# v1 had per-partition get_replicas(), but both return the same replica groups
|
|
replicas_info = self.describe_replica(client, collection_name)[0]
|
|
assert len(replicas_info) == 2
|
|
# verify loaded segments included 2 replicas and 1 partition
|
|
seg_info = client._get_connection().get_query_segment_info(collection_name)
|
|
num_entities = 0
|
|
for seg in seg_info:
|
|
assert len(seg.nodeIds) == 2
|
|
num_entities += seg.num_rows
|
|
assert num_entities == ct.default_nb
|
|
|
|
|
|
class TestPartitionOperations(TestMilvusClientV2Base):
|
|
""" Test case of partition interface in operations """
|
|
|
|
@pytest.fixture(scope="function")
|
|
def default_schema(self):
|
|
def _create(client):
|
|
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(ct.default_float_field_name, DataType.FLOAT)
|
|
schema.add_field(ct.default_string_field_name, DataType.VARCHAR, max_length=ct.default_length)
|
|
schema.add_field(ct.default_float_vec_field_name, DataType.FLOAT_VECTOR, dim=ct.default_dim)
|
|
return schema
|
|
yield _create
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_dropped_collection(self, default_schema):
|
|
"""
|
|
target: verify create partition against a dropped collection
|
|
method: 1. create a collection
|
|
2. drop collection
|
|
3. create partition in collection
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
# drop collection
|
|
self.drop_collection(client, collection_name)
|
|
# create partition failed
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 4, ct.err_msg: "collection not found"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_same_name_in_diff_collections(self, default_schema):
|
|
"""
|
|
target: verify create partitions with same name in diff collections
|
|
method: 1. create a partition in collection1
|
|
2. create a partition in collection2
|
|
expected: create successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name1 = cf.gen_collection_name_by_testcase_name()
|
|
collection_name2 = cf.gen_collection_name_by_testcase_name()
|
|
schema1 = default_schema(client)
|
|
self.create_collection(client, collection_name1, schema=schema1)
|
|
schema2 = default_schema(client)
|
|
self.create_collection(client, collection_name2, schema=schema2)
|
|
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name1, partition_name)
|
|
self.create_partition(client, collection_name2, partition_name)
|
|
|
|
assert self.has_partition(client, collection_name1, partition_name)[0]
|
|
assert self.has_partition(client, collection_name2, partition_name)[0]
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_multi_partitions_in_collection(self, default_schema):
|
|
"""
|
|
target: verify create multiple partitions in one collection
|
|
method: create multiple partitions in one collection
|
|
expected: create successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
for _ in range(10):
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_maximum_partitions(self, default_schema):
|
|
"""
|
|
target: verify create maximum partitions
|
|
method: 1. create maximum partitions
|
|
2. create one more partition
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
threads_num = 8
|
|
threads = []
|
|
|
|
def create_partition(threads_n):
|
|
for _ in range(ct.max_partition_num // threads_n):
|
|
name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, name,
|
|
check_task=CheckTasks.check_nothing)
|
|
|
|
for _ in range(threads_num):
|
|
t = threading.Thread(target=create_partition, args=(threads_num,))
|
|
threads.append(t)
|
|
t.start()
|
|
for t in threads:
|
|
t.join()
|
|
|
|
partitions = self.list_partitions(client, collection_name)[0]
|
|
log.info(f"partitions: {len(partitions)}")
|
|
p_name = cf.gen_unique_str()
|
|
err_msg = f"partition number ({ct.max_partition_num}) exceeds max configuration ({ct.max_partition_num})"
|
|
self.create_partition(client, collection_name, p_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 999, ct.err_msg: err_msg})
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
def test_partition_drop_default_partition(self, default_schema):
|
|
"""
|
|
target: verify drop the _default partition
|
|
method: drop the _default partition
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# verify _default partition exists
|
|
assert self.has_partition(client, collection_name, ct.default_partition_name)[0]
|
|
|
|
# drop _default partition should fail
|
|
self.drop_partition(client, collection_name, ct.default_partition_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: "default partition cannot be deleted"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_drop_partition_twice(self, default_schema):
|
|
"""
|
|
target: verify drop the same partition twice
|
|
method: 1.create a partition with default schema
|
|
2. drop the partition
|
|
3. drop the same partition again
|
|
expected: drop successfully both times (idempotent)
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# drop partition
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
assert not self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# drop the partition again (idempotent)
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_create_and_drop_multi_times(self, default_schema):
|
|
"""
|
|
target: verify create and drop for times
|
|
method: 1. create a partition with default schema
|
|
2. drop the partition
|
|
3. loop #1 and #2 for times
|
|
expected: create and drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
for _ in range(5):
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
assert not self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_drop_non_empty_partition(self, default_schema):
|
|
"""
|
|
target: verify drop a partition which has data inserted
|
|
method: 1. create a partition with default schema
|
|
2. insert some data
|
|
3. search and verify data exists
|
|
4. drop the partition
|
|
5. search and verify data is gone
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# insert data to partition
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
|
|
# create index and load
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name,
|
|
index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
self.load_partitions(client, collection_name, [partition_name])
|
|
|
|
# search and verify data exists
|
|
vectors = cf.gen_vectors(1, ct.default_dim)
|
|
res = self.search(client, collection_name, vectors, limit=1,
|
|
partition_names=[partition_name])[0]
|
|
assert len(res) == 1
|
|
assert len(res[0]) == 1
|
|
|
|
# release before drop
|
|
self.release_partitions(client, collection_name, [partition_name])
|
|
|
|
# drop partition
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
assert not self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# search and verify data is gone
|
|
self.load_collection(client, collection_name)
|
|
res = self.search(client, collection_name, vectors, limit=1)[0]
|
|
assert len(res) == 1
|
|
assert len(res[0]) == 0
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_drop_indexed_partition(self, default_schema):
|
|
"""
|
|
target: verify drop an indexed partition
|
|
method: 1. create a partition
|
|
2. insert same data
|
|
3. create an index
|
|
4. drop the partition
|
|
expected: drop successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# insert data to partition
|
|
data = cf.gen_default_rows_data(nb=3000, with_json=False)
|
|
ins_res = self.insert(client, collection_name, data, partition_name=partition_name)[0]
|
|
assert ins_res['insert_count'] == 3000
|
|
|
|
# create index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name,
|
|
index_type="IVF_SQ8", metric_type="L2",
|
|
params=cf.get_index_params_params("IVF_SQ8"))
|
|
self.create_index(client, collection_name, index_params)
|
|
|
|
# drop partition
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
assert not self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_release_empty_partition(self, default_schema):
|
|
"""
|
|
target: verify release an empty partition
|
|
method: 1. create a partition
|
|
2. release the partition
|
|
expected: release successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
# release partition
|
|
self.release_partitions(client, collection_name, [partition_name])
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_release_dropped_partition(self, default_schema):
|
|
"""
|
|
target: verify release a dropped partition
|
|
method: 1. create a partition
|
|
2. drop the partition
|
|
3. release the partition
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
# drop partition
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
|
|
# release the dropped partition and check err response
|
|
self.release_partitions(client, collection_name, [partition_name],
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 200,
|
|
ct.err_msg: "partition not found"
|
|
"[partition=%s]" % partition_name})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_release_dropped_collection(self, default_schema):
|
|
"""
|
|
target: verify release a dropped collection
|
|
method: 1. create a collection and partition
|
|
2. drop the collection
|
|
3. release the partition
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# drop collection
|
|
self.drop_collection(client, collection_name)
|
|
|
|
# release the partition and check err response
|
|
self.release_partitions(client, collection_name, [partition_name],
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 4, ct.err_msg: "collection not found"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_release_after_collection_released(self, default_schema):
|
|
"""
|
|
target: verify release a partition after the collection released
|
|
method: 1. create a collection and partition
|
|
2. insert some data
|
|
3. release the collection
|
|
4. release the partition
|
|
expected: partition released successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name,
|
|
index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# insert data to partition
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
|
|
# verify num_entities
|
|
self.flush(client, collection_name)
|
|
p_stats = self.get_partition_stats(client, collection_name, partition_name)[0]
|
|
assert p_stats['row_count'] == ct.default_nb
|
|
c_stats = self.get_collection_stats(client, collection_name)[0]
|
|
assert c_stats['row_count'] == ct.default_nb
|
|
|
|
# load partition
|
|
self.load_partitions(client, collection_name, [partition_name])
|
|
|
|
# search of partition
|
|
search_vectors = cf.gen_vectors(1, ct.default_dim)
|
|
res = self.search(client, collection_name, search_vectors, limit=1,
|
|
partition_names=[partition_name])[0]
|
|
assert len(res) == 1
|
|
assert len(res[0]) == 1
|
|
|
|
# release collection
|
|
self.release_collection(client, collection_name)
|
|
|
|
# search of partition after collection released
|
|
self.search(client, collection_name, search_vectors, limit=1,
|
|
partition_names=[partition_name],
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 0, ct.err_msg: "not loaded"})
|
|
|
|
# release partition
|
|
self.release_partitions(client, collection_name, [partition_name])
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_insert_default_partition(self, default_schema):
|
|
"""
|
|
target: verify insert data into _default partition
|
|
method: 1. create a collection
|
|
2. insert some data into _default partition
|
|
expected: insert successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# get the default partition
|
|
partition_name = ct.default_partition_name
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# insert data to partition
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
|
|
# verify num_entities
|
|
self.flush(client, collection_name)
|
|
p_stats = self.get_partition_stats(client, collection_name, partition_name)[0]
|
|
assert p_stats['row_count'] == len(data)
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_insert_dropped_partition(self, default_schema):
|
|
"""
|
|
target: verify insert data into a dropped partition
|
|
method: 1. create a collection
|
|
2. insert some data into a dropped partition
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
# drop partition
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
|
|
# insert data to dropped partition
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 200, ct.err_msg: "partition not found"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_insert_dropped_collection(self, default_schema):
|
|
"""
|
|
target: verify insert data into a dropped collection
|
|
method: 1. create a collection
|
|
2. insert some data into a dropped collection
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# drop collection
|
|
self.drop_collection(client, collection_name)
|
|
|
|
# insert data to partition of dropped collection
|
|
data = cf.gen_default_rows_data(with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 100,
|
|
ct.err_msg: f"can't find collection[database=default]"
|
|
f"[collection={collection_name}]"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_insert_maximum_size_data(self, default_schema):
|
|
"""
|
|
target: verify insert maximum size data(256M?) a time
|
|
method: 1. create a partition
|
|
2. insert maximum size data
|
|
expected: insert successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
# insert data to partition
|
|
max_size = 100000
|
|
data = cf.gen_default_rows_data(nb=max_size, with_json=False)
|
|
ins_res = self.insert(client, collection_name, data,
|
|
partition_name=partition_name, timeout=40)[0]
|
|
assert ins_res['insert_count'] == max_size
|
|
|
|
# verify num_entities
|
|
self.flush(client, collection_name)
|
|
p_stats = self.get_partition_stats(client, collection_name, partition_name)[0]
|
|
assert p_stats['row_count'] == max_size
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.parametrize("dim", [ct.default_dim - 1, ct.default_dim + 1])
|
|
def test_partition_insert_mismatched_dimensions(self, default_schema, dim):
|
|
"""
|
|
target: verify insert maximum size data(256M?) a time
|
|
method: 1. create a collection with default dim
|
|
2. insert dismatch dim data
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
# insert data with mismatched dim
|
|
data = cf.gen_default_rows_data(nb=10, dim=dim, with_json=False)
|
|
self.insert(client, collection_name, data, partition_name=partition_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 65535,
|
|
ct.err_msg: f"float data should divide the dim({ct.default_dim})"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_delete_indexed_data(self, default_schema):
|
|
"""
|
|
target: verify delete entities with an expression condition from an indexed partition
|
|
method: 1. create collection
|
|
2. create an index
|
|
3. create a partition
|
|
4. insert same data
|
|
5. delete entities with an expression condition
|
|
expected: delete successfully
|
|
issue #15456
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create index
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name,
|
|
index_type="IVF_SQ8", metric_type="L2",
|
|
params=cf.get_index_params_params("IVF_SQ8"))
|
|
self.create_index(client, collection_name, index_params)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# insert data to partition
|
|
data = cf.gen_default_rows_data(nb=3000, with_json=False)
|
|
ins_res = self.insert(client, collection_name, data, partition_name=partition_name)[0]
|
|
assert ins_res['insert_count'] == 3000
|
|
|
|
# delete entities with an expression condition
|
|
expr = "int64 in [0,1]"
|
|
res = self.delete(client, collection_name, filter=expr, partition_name=partition_name)[0]
|
|
assert res['delete_count'] == 2
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_upsert_empty_partition(self, default_schema):
|
|
"""
|
|
target: verify upsert data in empty partition
|
|
method: 1. create a collection
|
|
2. upsert some data in empty partition
|
|
expected: upsert successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# verify _default partition is empty
|
|
partition_name = ct.default_partition_name
|
|
self.flush(client, collection_name)
|
|
p_stats = self.get_partition_stats(client, collection_name, partition_name)[0]
|
|
assert p_stats['row_count'] == 0
|
|
|
|
# upsert data to the empty partition
|
|
data = cf.gen_row_data_by_schema(schema=schema)
|
|
self.upsert(client, collection_name, data, partition_name=partition_name)
|
|
|
|
# verify num_entities
|
|
self.flush(client, collection_name)
|
|
p_stats = self.get_partition_stats(client, collection_name, partition_name)[0]
|
|
assert p_stats['row_count'] == ct.default_nb
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_partition_upsert_dropped_partition(self, default_schema):
|
|
"""
|
|
target: verify upsert data in a dropped partition
|
|
method: 1. create a partition and drop
|
|
2. upsert some data into the dropped partition
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
# drop partition
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
|
|
# upsert data to dropped partition
|
|
data = cf.gen_row_data_by_schema(schema=schema)
|
|
self.upsert(client, collection_name, data, partition_name=partition_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 200, ct.err_msg: "partition not found"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_partition_upsert_mismatched_data(self, default_schema):
|
|
"""
|
|
target: test upsert mismatched data in partition
|
|
method: 1. create a partition
|
|
2. insert some data
|
|
3. upsert with mismatched data
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
# insert data
|
|
data = cf.gen_row_data_by_schema(schema=schema)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
|
|
# upsert mismatched data
|
|
upsert_data = cf.gen_row_data_by_schema(schema=schema)
|
|
for row in upsert_data:
|
|
row[ct.default_float_vec_field_name] = [float(i) for i in range(ct.default_dim - 1)]
|
|
self.upsert(client, collection_name, upsert_data, partition_name=partition_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 65535,
|
|
ct.err_msg: f"float data should divide the dim({ct.default_dim})"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
@pytest.mark.skip(reason="smellthemoon: behavior changed")
|
|
def test_partition_upsert_with_auto_id(self):
|
|
"""
|
|
target: test upsert data in partition when auto_id=True
|
|
method: 1. create a partition
|
|
2. insert some data
|
|
3. upsert data
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
# create collection with auto_id=True
|
|
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=True)
|
|
schema.add_field(ct.default_float_field_name, DataType.FLOAT)
|
|
schema.add_field(ct.default_string_field_name, DataType.VARCHAR, max_length=ct.default_length)
|
|
schema.add_field(ct.default_float_vec_field_name, DataType.FLOAT_VECTOR, dim=ct.default_dim)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create partition
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
# insert data (without pk since auto_id=True)
|
|
data = cf.gen_row_data_by_schema(schema=schema)
|
|
self.insert(client, collection_name, data, partition_name=partition_name)
|
|
|
|
# upsert data (without pk)
|
|
upsert_data = cf.gen_row_data_by_schema(schema=schema)
|
|
self.upsert(client, collection_name, upsert_data, partition_name=partition_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1, ct.err_msg: "Upsert don't support autoid == true"})
|
|
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
@pytest.mark.parametrize("is_flush", [True, False])
|
|
def test_partition_upsert_same_pk_in_diff_partitions(self, default_schema, is_flush):
|
|
"""
|
|
target: test upsert same pk in different partitions
|
|
method: 1. create 2 partitions
|
|
2. insert some data
|
|
3. upsert data
|
|
expected: raise exception
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
# create 2 partitions
|
|
partition_1 = cf.gen_unique_str(prefix)
|
|
partition_2 = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_1)
|
|
self.create_partition(client, collection_name, partition_2)
|
|
|
|
# insert data
|
|
nb = 1000
|
|
data1 = cf.gen_row_data_by_schema(nb=nb, schema=schema)
|
|
self.insert(client, collection_name, data1, partition_name=partition_1)
|
|
data2 = cf.gen_row_data_by_schema(nb=nb, schema=schema, start=nb)
|
|
self.insert(client, collection_name, data2, partition_name=partition_2)
|
|
|
|
# upsert same pk=0 data in both partitions
|
|
upsert_data = cf.gen_row_data_by_schema(nb=1, schema=schema)
|
|
self.upsert(client, collection_name, upsert_data, partition_name=partition_1)
|
|
self.upsert(client, collection_name, upsert_data, partition_name=partition_2)
|
|
|
|
# flush if needed
|
|
if is_flush:
|
|
self.flush(client, collection_name)
|
|
|
|
# create index and load
|
|
index_params = self.prepare_index_params(client)[0]
|
|
index_params.add_index(field_name=ct.default_float_vec_field_name,
|
|
index_type="FLAT", metric_type="COSINE")
|
|
self.create_index(client, collection_name, index_params)
|
|
self.load_collection(client, collection_name)
|
|
|
|
# query and check the results
|
|
expr = "int64 == 0"
|
|
res1 = self.query(client, collection_name, filter=expr,
|
|
output_fields=[ct.default_float_field_name],
|
|
partition_names=[partition_1])[0]
|
|
res2 = self.query(client, collection_name, filter=expr,
|
|
output_fields=[ct.default_float_field_name],
|
|
partition_names=[partition_2])[0]
|
|
assert res1 == res2
|
|
|
|
@pytest.mark.tags(CaseLabel.L2)
|
|
def test_create_partition_name_none(self, default_schema):
|
|
"""
|
|
target: test create partition with partition_name=None
|
|
method: call function: create_partition with None
|
|
expected: raise ParamError (v2 validates partition_name eagerly)
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
partition_name = None
|
|
self.create_partition(client, collection_name, partition_name,
|
|
check_task=CheckTasks.err_res,
|
|
check_items={ct.err_code: 1,
|
|
ct.err_msg: "`partition_name` value None is illegal"})
|
|
|
|
|
|
class TestShowBase(TestMilvusClientV2Base):
|
|
""" Test case of list partition interface """
|
|
|
|
@pytest.fixture(scope="function")
|
|
def default_schema(self):
|
|
def _create(client):
|
|
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(ct.default_float_field_name, DataType.FLOAT)
|
|
schema.add_field(ct.default_string_field_name, DataType.VARCHAR, max_length=ct.default_length)
|
|
schema.add_field(ct.default_float_vec_field_name, DataType.FLOAT_VECTOR, dim=ct.default_dim)
|
|
return schema
|
|
yield _create
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
def test_list_partitions(self, default_schema):
|
|
"""
|
|
target: test list partitions, check partitions returned
|
|
method: create partition first, then call list_partitions
|
|
expected: partition correct
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
partitions = self.list_partitions(client, collection_name)[0]
|
|
assert partition_name in partitions
|
|
assert "_default" in partitions
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
def test_list_multi_partitions(self, default_schema):
|
|
"""
|
|
target: test list partitions with duplicate partition name creation
|
|
method: create partition with same name twice, then call list_partitions
|
|
expected: partitions correct, only one partition with that name
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
# creating again with same name is idempotent
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
partitions = self.list_partitions(client, collection_name)[0]
|
|
assert partition_name in partitions
|
|
assert "_default" in partitions
|
|
assert len(partitions) == 2 # _default + partition_name
|
|
|
|
|
|
class TestHasBase(TestMilvusClientV2Base):
|
|
""" Test case of has_partition interface """
|
|
|
|
@pytest.fixture(scope="function")
|
|
def default_schema(self):
|
|
def _create(client):
|
|
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(ct.default_float_field_name, DataType.FLOAT)
|
|
schema.add_field(ct.default_string_field_name, DataType.VARCHAR, max_length=ct.default_length)
|
|
schema.add_field(ct.default_float_vec_field_name, DataType.FLOAT_VECTOR, dim=ct.default_dim)
|
|
return schema
|
|
yield _create
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
def test_has_partition(self, default_schema):
|
|
"""
|
|
target: test has_partition, check result
|
|
method: create partition first, then call has_partition
|
|
expected: result true
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
def test_has_partition_multi_partitions(self, default_schema):
|
|
"""
|
|
target: test has_partition with duplicate partition name creation
|
|
method: create partition with same name twice, then call has_partition
|
|
expected: result true
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
# creating again with same name is idempotent
|
|
self.create_partition(client, collection_name, partition_name)
|
|
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
|
|
class TestDropBase(TestMilvusClientV2Base):
|
|
""" Test case of drop_partition interface """
|
|
|
|
@pytest.fixture(scope="function")
|
|
def default_schema(self):
|
|
def _create(client):
|
|
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(ct.default_float_field_name, DataType.FLOAT)
|
|
schema.add_field(ct.default_string_field_name, DataType.VARCHAR, max_length=ct.default_length)
|
|
schema.add_field(ct.default_float_vec_field_name, DataType.FLOAT_VECTOR, dim=ct.default_dim)
|
|
return schema
|
|
yield _create
|
|
|
|
@pytest.mark.tags(CaseLabel.L0)
|
|
def test_drop_partition_create(self, default_schema):
|
|
"""
|
|
target: test drop partition, and create again
|
|
method: create partition, drop it, create again
|
|
expected: partition re-created successfully
|
|
"""
|
|
client = self._client()
|
|
collection_name = cf.gen_collection_name_by_testcase_name()
|
|
schema = default_schema(client)
|
|
self.create_collection(client, collection_name, schema=schema)
|
|
|
|
partition_name = cf.gen_unique_str(prefix)
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# drop partition
|
|
self.drop_partition(client, collection_name, partition_name)
|
|
assert not self.has_partition(client, collection_name, partition_name)[0]
|
|
|
|
# re-create partition
|
|
self.create_partition(client, collection_name, partition_name)
|
|
assert self.has_partition(client, collection_name, partition_name)[0]
|