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import time |
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import pdb |
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import threading |
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import logging |
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import threading |
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from multiprocessing import Pool, Process |
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import pytest |
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from milvus import IndexType, MetricType |
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from utils import * |
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dim = 128 |
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index_file_size = 10 |
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collection_id = "test_add" |
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ADD_TIMEOUT = 60 |
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tag = "1970-01-01" |
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add_interval_time = 5 |
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nb = 6000 |
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class TestAddBase: |
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""" |
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****************************************************************** |
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The following cases are used to test `insert` function |
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****************************************************************** |
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""" |
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View Code Duplication |
@pytest.fixture( |
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scope="function", |
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params=gen_simple_index() |
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) |
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def get_simple_index(self, request, connect): |
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if str(connect._cmd("mode")[1]) == "CPU": |
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if request.param["index_type"] == IndexType.IVF_SQ8H: |
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pytest.skip("sq8h not support in cpu mode") |
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if request.param["index_type"] == IndexType.IVF_PQ: |
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pytest.skip("Skip PQ Temporary") |
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return request.param |
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def test_add_vector_create_collection(self, connect, collection): |
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''' |
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target: test add vector, then create collection again |
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method: add vector and create collection |
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expected: status not ok |
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''' |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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param = {'collection_name': collection, |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.L2} |
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status = connect.create_collection(param) |
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assert not status.OK() |
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def test_add_vector_has_collection(self, connect, collection): |
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''' |
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target: test add vector, then check collection existence |
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method: add vector and call Hascollection |
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expected: collection exists, status ok |
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''' |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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assert assert_has_collection(connect, collection) |
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def test_add_vector_with_empty_vector(self, connect, collection): |
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''' |
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target: test add vectors with empty vectors list |
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method: set empty vectors list as add method params |
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expected: raises a Exception |
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''' |
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vector = [] |
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with pytest.raises(Exception) as e: |
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status, ids = connect.insert(collection, vector) |
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def test_add_vector_with_None(self, connect, collection): |
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''' |
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target: test add vectors with None |
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method: set None as add method params |
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expected: raises a Exception |
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''' |
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vector = None |
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with pytest.raises(Exception) as e: |
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status, ids = connect.insert(collection, vector) |
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@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_drop_collection_add_vector(self, connect, collection): |
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''' |
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target: test add vector after collection deleted |
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method: delete collection and add vector |
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expected: status not ok |
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''' |
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status = connect.drop_collection(collection) |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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assert not status.OK() |
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View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_drop_collection_add_vector_another(self, connect, collection): |
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''' |
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target: test add vector to collection_1 after collection_2 deleted |
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method: delete collection_2 and add vector to collection_1 |
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expected: status ok |
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''' |
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param = {'collection_name': gen_unique_str(), |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.L2} |
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status = connect.create_collection(param) |
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status = connect.drop_collection(collection) |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(param['collection_name'], vector) |
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assert status.OK() |
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@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_add_vector_drop_collection(self, connect, collection): |
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''' |
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target: test delete collection after add vector |
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method: add vector and delete collection |
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expected: status ok |
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''' |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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status = connect.drop_collection(collection) |
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assert status.OK() |
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@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_add_vector_delete_another_collection(self, connect, collection): |
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''' |
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target: test delete collection_1 collection after add vector to collection_2 |
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method: add vector and delete collection |
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expected: status ok |
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''' |
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param = {'collection_name': gen_unique_str(), |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.L2} |
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status = connect.create_collection(param) |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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assert status.OK() |
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@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_add_vector_sleep_drop_collection(self, connect, collection): |
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''' |
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target: test delete collection after add vector for a while |
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method: add vector, sleep, and delete collection |
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expected: status ok |
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''' |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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assert status.OK() |
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connect.flush([collection]) |
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status = connect.drop_collection(collection) |
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assert status.OK() |
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View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_add_vector_sleep_delete_another_collection(self, connect, collection): |
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''' |
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target: test delete collection_1 collection after add vector to collection_2 for a while |
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method: add vector , sleep, and delete collection |
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expected: status ok |
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''' |
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param = {'collection_name': gen_unique_str(), |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.L2} |
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status = connect.create_collection(param) |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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connect.flush([collection]) |
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status = connect.drop_collection(param['collection_name']) |
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assert status.OK() |
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View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_create_index_add_vector(self, connect, collection, get_simple_index): |
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''' |
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target: test add vector after build index |
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method: build index and add vector |
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expected: status ok |
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''' |
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index_param = get_simple_index["index_param"] |
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index_type = get_simple_index["index_type"] |
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status = connect.create_index(collection, index_type, index_param) |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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assert status.OK() |
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View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_create_index_add_vector_another(self, connect, collection, get_simple_index): |
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''' |
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target: test add vector to collection_2 after build index for collection_1 |
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method: build index and add vector |
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expected: status ok |
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''' |
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index_param = get_simple_index["index_param"] |
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index_type = get_simple_index["index_type"] |
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param = {'collection_name': gen_unique_str(), |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.L2} |
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status = connect.create_collection(param) |
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status = connect.create_index(collection, index_type, index_param) |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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connect.drop_collection(param['collection_name']) |
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assert status.OK() |
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@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_add_vector_create_index(self, connect, collection, get_simple_index): |
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''' |
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target: test build index add after vector |
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method: add vector and build index |
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expected: status ok |
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''' |
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index_param = get_simple_index["index_param"] |
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index_type = get_simple_index["index_type"] |
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logging.getLogger().info(index_param) |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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status = connect.create_index(collection, index_type, index_param) |
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assert status.OK() |
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View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_add_vector_create_index_another(self, connect, collection, get_simple_index): |
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''' |
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target: test add vector to collection_2 after build index for collection_1 |
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method: build index and add vector |
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expected: status ok |
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''' |
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index_param = get_simple_index["index_param"] |
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index_type = get_simple_index["index_type"] |
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param = {'collection_name': gen_unique_str(), |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.L2} |
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status = connect.create_collection(param) |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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status = connect.create_index( |
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param['collection_name'], index_type, index_param) |
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assert status.OK() |
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View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_add_vector_sleep_create_index(self, connect, collection, get_simple_index): |
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''' |
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target: test build index add after vector for a while |
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method: add vector and build index |
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expected: status ok |
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''' |
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index_param = get_simple_index["index_param"] |
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index_type = get_simple_index["index_type"] |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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connect.flush([collection]) |
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status = connect.create_index(collection, index_type, index_param) |
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assert status.OK() |
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View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_add_vector_sleep_create_index_another(self, connect, collection, get_simple_index): |
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''' |
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target: test add vector to collection_2 after build index for collection_1 for a while |
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method: build index and add vector |
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expected: status ok |
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''' |
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index_param = get_simple_index["index_param"] |
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index_type = get_simple_index["index_type"] |
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param = {'collection_name': gen_unique_str(), |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.L2} |
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status = connect.create_collection(param) |
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vector = gen_single_vector(dim) |
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status, ids = connect.insert(collection, vector) |
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connect.flush([collection]) |
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status = connect.create_index( |
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param['collection_name'], index_type, index_param) |
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assert status.OK() |
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@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_search_vector_add_vector(self, connect, collection): |
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''' |
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target: test add vector after search collection |
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method: search collection and add vector |
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expected: status ok |
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''' |
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vector = gen_single_vector(dim) |
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status, result = connect.search(collection, 1, vector) |
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status, ids = connect.insert(collection, vector) |
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assert status.OK() |
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View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
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def test_search_vector_add_vector_another(self, connect, collection): |
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''' |
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293
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target: test add vector to collection_1 after search collection_2 |
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method: search collection and add vector |
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295
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expected: status ok |
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''' |
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param = {'collection_name': gen_unique_str(), |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.L2} |
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status = connect.create_collection(param) |
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vector = gen_single_vector(dim) |
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status, result = connect.search(collection, 1, vector) |
|
304
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status, ids = connect.insert(param['collection_name'], vector) |
|
305
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assert status.OK() |
|
306
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307
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|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
308
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|
def test_add_vector_search_vector(self, connect, collection): |
|
309
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|
''' |
|
310
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|
target: test search vector after add vector |
|
311
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|
method: add vector and search collection |
|
312
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expected: status ok |
|
313
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|
''' |
|
314
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vector = gen_single_vector(dim) |
|
315
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status, ids = connect.insert(collection, vector) |
|
316
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assert status.OK() |
|
317
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connect.flush([collection]) |
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318
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status, result = connect.search(collection, 1, vector) |
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319
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assert status.OK() |
|
320
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321
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|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
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|
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322
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def test_add_vector_search_vector_another(self, connect, collection): |
|
323
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|
|
''' |
|
324
|
|
|
target: test add vector to collection_1 after search collection_2 |
|
325
|
|
|
method: search collection and add vector |
|
326
|
|
|
expected: status ok |
|
327
|
|
|
''' |
|
328
|
|
|
param = {'collection_name': gen_unique_str(), |
|
329
|
|
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'dimension': dim, |
|
330
|
|
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'index_file_size': index_file_size, |
|
331
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'metric_type': MetricType.L2} |
|
332
|
|
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status = connect.create_collection(param) |
|
333
|
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|
vector = gen_single_vector(dim) |
|
334
|
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|
status, ids = connect.insert(collection, vector) |
|
335
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status, result = connect.search(param['collection_name'], 1, vector) |
|
336
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|
assert status.OK() |
|
337
|
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|
|
338
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
339
|
|
|
def test_add_vector_sleep_search_vector(self, connect, collection): |
|
340
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|
|
''' |
|
341
|
|
|
target: test search vector after add vector after a while |
|
342
|
|
|
method: add vector, sleep, and search collection |
|
343
|
|
|
expected: status ok |
|
344
|
|
|
''' |
|
345
|
|
|
vector = gen_single_vector(dim) |
|
346
|
|
|
status, ids = connect.insert(collection, vector) |
|
347
|
|
|
connect.flush([collection]) |
|
348
|
|
|
status, result = connect.search(collection, 1, vector) |
|
349
|
|
|
assert status.OK() |
|
350
|
|
|
|
|
351
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
352
|
|
|
def test_add_vector_sleep_search_vector_another(self, connect, collection): |
|
353
|
|
|
''' |
|
354
|
|
|
target: test add vector to collection_1 after search collection_2 a while |
|
355
|
|
|
method: search collection , sleep, and add vector |
|
356
|
|
|
expected: status ok |
|
357
|
|
|
''' |
|
358
|
|
|
param = {'collection_name': gen_unique_str(), |
|
359
|
|
|
'dimension': dim, |
|
360
|
|
|
'index_file_size': index_file_size, |
|
361
|
|
|
'metric_type': MetricType.L2} |
|
362
|
|
|
status = connect.create_collection(param) |
|
363
|
|
|
vector = gen_single_vector(dim) |
|
364
|
|
|
status, ids = connect.insert(collection, vector) |
|
365
|
|
|
connect.flush([collection]) |
|
366
|
|
|
status, result = connect.search(param['collection_name'], 1, vector) |
|
367
|
|
|
assert status.OK() |
|
368
|
|
|
|
|
369
|
|
|
""" |
|
370
|
|
|
****************************************************************** |
|
371
|
|
|
The following cases are used to test `insert` function |
|
372
|
|
|
****************************************************************** |
|
373
|
|
|
""" |
|
374
|
|
|
|
|
375
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
376
|
|
|
def test_insert_ids(self, connect, collection): |
|
377
|
|
|
''' |
|
378
|
|
|
target: test add vectors in collection, use customize ids |
|
379
|
|
|
method: create collection and add vectors in it, check the ids returned and the collection length after vectors added |
|
380
|
|
|
expected: the length of ids and the collection row count |
|
381
|
|
|
''' |
|
382
|
|
|
nq = 5 |
|
383
|
|
|
top_k = 1 |
|
384
|
|
|
vectors = gen_vectors(nq, dim) |
|
385
|
|
|
ids = [i for i in range(nq)] |
|
386
|
|
|
status, ids = connect.insert(collection, vectors, ids) |
|
387
|
|
|
connect.flush([collection]) |
|
388
|
|
|
assert status.OK() |
|
389
|
|
|
assert len(ids) == nq |
|
390
|
|
|
status, result = connect.search( |
|
391
|
|
|
collection, top_k, query_records=vectors) |
|
392
|
|
|
logging.getLogger().info(result) |
|
393
|
|
|
assert len(result) == nq |
|
394
|
|
|
for i in range(nq): |
|
395
|
|
|
assert result[i][0].id == i |
|
396
|
|
|
|
|
397
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
398
|
|
|
def test_insert_twice_ids_no_ids(self, connect, collection): |
|
399
|
|
|
''' |
|
400
|
|
|
target: check the result of insert, with params ids and no ids |
|
401
|
|
|
method: test add vectors twice, use customize ids first, and then use no ids |
|
402
|
|
|
expected: status not OK |
|
403
|
|
|
''' |
|
404
|
|
|
nq = 5 |
|
405
|
|
|
top_k = 1 |
|
406
|
|
|
vectors = gen_vectors(nq, dim) |
|
407
|
|
|
ids = [i for i in range(nq)] |
|
408
|
|
|
status, ids = connect.insert(collection, vectors, ids) |
|
409
|
|
|
assert status.OK() |
|
410
|
|
|
status, ids = connect.insert(collection, vectors) |
|
411
|
|
|
logging.getLogger().info(status) |
|
412
|
|
|
logging.getLogger().info(ids) |
|
413
|
|
|
assert not status.OK() |
|
414
|
|
|
|
|
415
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
416
|
|
|
def test_insert_twice_not_ids_ids(self, connect, collection): |
|
417
|
|
|
''' |
|
418
|
|
|
target: check the result of insert, with params ids and no ids |
|
419
|
|
|
method: test add vectors twice, use not ids first, and then use customize ids |
|
420
|
|
|
expected: status not OK |
|
421
|
|
|
''' |
|
422
|
|
|
nq = 5 |
|
423
|
|
|
top_k = 1 |
|
424
|
|
|
vectors = gen_vectors(nq, dim) |
|
425
|
|
|
ids = [i for i in range(nq)] |
|
426
|
|
|
status, ids = connect.insert(collection, vectors) |
|
427
|
|
|
assert status.OK() |
|
428
|
|
|
status, ids = connect.insert(collection, vectors, ids) |
|
429
|
|
|
logging.getLogger().info(status) |
|
430
|
|
|
logging.getLogger().info(ids) |
|
431
|
|
|
assert not status.OK() |
|
432
|
|
|
|
|
433
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
434
|
|
|
def test_insert_ids_length_not_match(self, connect, collection): |
|
435
|
|
|
''' |
|
436
|
|
|
target: test add vectors in collection, use customize ids, len(ids) != len(vectors) |
|
437
|
|
|
method: create collection and add vectors in it |
|
438
|
|
|
expected: raise an exception |
|
439
|
|
|
''' |
|
440
|
|
|
nq = 5 |
|
441
|
|
|
vectors = gen_vectors(nq, dim) |
|
442
|
|
|
ids = [i for i in range(1, nq)] |
|
443
|
|
|
with pytest.raises(Exception) as e: |
|
444
|
|
|
status, ids = connect.insert(collection, vectors, ids) |
|
445
|
|
|
|
|
446
|
|
|
@pytest.fixture( |
|
447
|
|
|
scope="function", |
|
448
|
|
|
params=gen_invalid_vector_ids() |
|
449
|
|
|
) |
|
450
|
|
|
def get_vector_id(self, request): |
|
451
|
|
|
yield request.param |
|
452
|
|
|
|
|
453
|
|
|
@pytest.mark.level(2) |
|
454
|
|
|
def test_insert_ids_invalid(self, connect, collection, get_vector_id): |
|
455
|
|
|
''' |
|
456
|
|
|
target: test add vectors in collection, use customize ids, which are not int64 |
|
457
|
|
|
method: create collection and add vectors in it |
|
458
|
|
|
expected: raise an exception |
|
459
|
|
|
''' |
|
460
|
|
|
nq = 5 |
|
461
|
|
|
vectors = gen_vectors(nq, dim) |
|
462
|
|
|
vector_id = get_vector_id |
|
463
|
|
|
ids = [vector_id for _ in range(nq)] |
|
464
|
|
|
with pytest.raises(Exception): |
|
465
|
|
|
connect.insert(collection, vectors, ids) |
|
466
|
|
|
|
|
467
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
468
|
|
|
def test_insert(self, connect, collection): |
|
469
|
|
|
''' |
|
470
|
|
|
target: test add vectors in collection created before |
|
471
|
|
|
method: create collection and add vectors in it, check the ids returned and the collection length after vectors added |
|
472
|
|
|
expected: the length of ids and the collection row count |
|
473
|
|
|
''' |
|
474
|
|
|
nq = 5 |
|
475
|
|
|
vectors = gen_vectors(nq, dim) |
|
476
|
|
|
status, ids = connect.insert(collection, vectors) |
|
477
|
|
|
assert status.OK() |
|
478
|
|
|
assert len(ids) == nq |
|
479
|
|
|
|
|
480
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
481
|
|
|
def test_insert_tag(self, connect, collection): |
|
482
|
|
|
''' |
|
483
|
|
|
target: test add vectors in collection created before |
|
484
|
|
|
method: create collection and add vectors in it, with the partition_tag param |
|
485
|
|
|
expected: the collection row count equals to nq |
|
486
|
|
|
''' |
|
487
|
|
|
nq = 5 |
|
488
|
|
|
vectors = gen_vectors(nq, dim) |
|
489
|
|
|
status = connect.create_partition(collection, tag) |
|
490
|
|
|
status, ids = connect.insert(collection, vectors, partition_tag=tag) |
|
491
|
|
|
assert status.OK() |
|
492
|
|
|
assert len(ids) == nq |
|
493
|
|
|
|
|
494
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
495
|
|
|
def test_insert_tag_A(self, connect, collection): |
|
496
|
|
|
''' |
|
497
|
|
|
target: test add vectors in collection created before |
|
498
|
|
|
method: create partition and add vectors in it |
|
499
|
|
|
expected: the collection row count equals to nq |
|
500
|
|
|
''' |
|
501
|
|
|
nq = 5 |
|
502
|
|
|
vectors = gen_vectors(nq, dim) |
|
503
|
|
|
status = connect.create_partition(collection, tag) |
|
504
|
|
|
status, ids = connect.insert(collection, vectors, partition_tag=tag) |
|
505
|
|
|
assert status.OK() |
|
506
|
|
|
assert len(ids) == nq |
|
507
|
|
|
|
|
508
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
509
|
|
|
def test_insert_tag_not_existed(self, connect, collection): |
|
510
|
|
|
''' |
|
511
|
|
|
target: test add vectors in collection created before |
|
512
|
|
|
method: create collection and add vectors in it, with the not existed partition_tag param |
|
513
|
|
|
expected: status not ok |
|
514
|
|
|
''' |
|
515
|
|
|
nq = 5 |
|
516
|
|
|
vectors = gen_vectors(nq, dim) |
|
517
|
|
|
status, ids = connect.insert(collection, vectors, partition_tag=tag) |
|
518
|
|
|
assert not status.OK() |
|
519
|
|
|
|
|
520
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
521
|
|
|
def test_insert_tag_not_existed_A(self, connect, collection): |
|
522
|
|
|
''' |
|
523
|
|
|
target: test add vectors in collection created before |
|
524
|
|
|
method: create partition, add vectors with the not existed partition_tag param |
|
525
|
|
|
expected: status not ok |
|
526
|
|
|
''' |
|
527
|
|
|
nq = 5 |
|
528
|
|
|
vectors = gen_vectors(nq, dim) |
|
529
|
|
|
new_tag = "new_tag" |
|
530
|
|
|
status = connect.create_partition(collection, tag) |
|
531
|
|
|
status, ids = connect.insert( |
|
532
|
|
|
collection, vectors, partition_tag=new_tag) |
|
533
|
|
|
assert not status.OK() |
|
534
|
|
|
|
|
535
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
536
|
|
|
def test_insert_tag_existed(self, connect, collection): |
|
537
|
|
|
''' |
|
538
|
|
|
target: test add vectors in collection created before |
|
539
|
|
|
method: create collection and add vectors in it repeatly, with the partition_tag param |
|
540
|
|
|
expected: the collection row count equals to nq |
|
541
|
|
|
''' |
|
542
|
|
|
nq = 5 |
|
543
|
|
|
vectors = gen_vectors(nq, dim) |
|
544
|
|
|
status = connect.create_partition(collection, tag) |
|
545
|
|
|
status, ids = connect.insert(collection, vectors, partition_tag=tag) |
|
546
|
|
|
for i in range(5): |
|
547
|
|
|
status, ids = connect.insert( |
|
548
|
|
|
collection, vectors, partition_tag=tag) |
|
549
|
|
|
assert status.OK() |
|
550
|
|
|
assert len(ids) == nq |
|
551
|
|
|
|
|
552
|
|
|
@pytest.mark.level(2) |
|
553
|
|
|
def test_insert_without_connect(self, dis_connect, collection): |
|
554
|
|
|
''' |
|
555
|
|
|
target: test add vectors without connection |
|
556
|
|
|
method: create collection and add vectors in it, check if added successfully |
|
557
|
|
|
expected: raise exception |
|
558
|
|
|
''' |
|
559
|
|
|
nq = 5 |
|
560
|
|
|
vectors = gen_vectors(nq, dim) |
|
561
|
|
|
with pytest.raises(Exception) as e: |
|
562
|
|
|
status, ids = dis_connect.insert(collection, vectors) |
|
563
|
|
|
|
|
564
|
|
|
def test_add_collection_not_existed(self, connect): |
|
565
|
|
|
''' |
|
566
|
|
|
target: test add vectors in collection, which not existed before |
|
567
|
|
|
method: add vectors collection not existed, check the status |
|
568
|
|
|
expected: status not ok |
|
569
|
|
|
''' |
|
570
|
|
|
nq = 5 |
|
571
|
|
|
vector = gen_single_vector(dim) |
|
572
|
|
|
status, ids = connect.insert( |
|
573
|
|
|
gen_unique_str("not_exist_collection"), vector) |
|
574
|
|
|
assert not status.OK() |
|
575
|
|
|
assert not ids |
|
576
|
|
|
|
|
577
|
|
|
def test_add_vector_dim_not_matched(self, connect, collection): |
|
578
|
|
|
''' |
|
579
|
|
|
target: test add vector, the vector dimension is not equal to the collection dimension |
|
580
|
|
|
method: the vector dimension is half of the collection dimension, check the status |
|
581
|
|
|
expected: status not ok |
|
582
|
|
|
''' |
|
583
|
|
|
vector = gen_single_vector(int(dim)//2) |
|
584
|
|
|
status, ids = connect.insert(collection, vector) |
|
585
|
|
|
assert not status.OK() |
|
586
|
|
|
|
|
587
|
|
|
def test_insert_dim_not_matched(self, connect, collection): |
|
588
|
|
|
''' |
|
589
|
|
|
target: test add vectors, the vector dimension is not equal to the collection dimension |
|
590
|
|
|
method: the vectors dimension is half of the collection dimension, check the status |
|
591
|
|
|
expected: status not ok |
|
592
|
|
|
''' |
|
593
|
|
|
nq = 5 |
|
594
|
|
|
vectors = gen_vectors(nq, int(dim)//2) |
|
595
|
|
|
status, ids = connect.insert(collection, vectors) |
|
596
|
|
|
assert not status.OK() |
|
597
|
|
|
|
|
598
|
|
|
def test_add_vector_query_after_sleep(self, connect, collection): |
|
599
|
|
|
''' |
|
600
|
|
|
target: test add vectors, and search it after sleep |
|
601
|
|
|
method: set vector[0][1] as query vectors |
|
602
|
|
|
expected: status ok and result length is 1 |
|
603
|
|
|
''' |
|
604
|
|
|
nq = 5 |
|
605
|
|
|
vectors = gen_vectors(nq, dim) |
|
606
|
|
|
status, ids = connect.insert(collection, vectors) |
|
607
|
|
|
connect.flush([collection]) |
|
608
|
|
|
status, result = connect.search(collection, 1, [vectors[0]]) |
|
609
|
|
|
assert status.OK() |
|
610
|
|
|
assert len(result) == 1 |
|
611
|
|
|
|
|
612
|
|
|
@pytest.mark.level(2) |
|
613
|
|
|
@pytest.mark.timeout(30) |
|
614
|
|
|
def test_collection_add_rows_count_multi_threading(self, args, collection): |
|
615
|
|
|
''' |
|
616
|
|
|
target: test collection rows_count is correct or not with multi threading |
|
617
|
|
|
method: create collection and add vectors in it(idmap), |
|
618
|
|
|
assert the value returned by count_entities method is equal to length of vectors |
|
619
|
|
|
expected: the count is equal to the length of vectors |
|
620
|
|
|
''' |
|
621
|
|
|
if args["handler"] == "HTTP": |
|
622
|
|
|
pytest.skip("Skip test in http mode") |
|
623
|
|
|
thread_num = 8 |
|
624
|
|
|
threads = [] |
|
625
|
|
|
milvus = get_milvus( |
|
626
|
|
|
host=args["ip"], port=args["port"], handler=args["handler"], try_connect=False) |
|
627
|
|
|
vectors = gen_vectors(nb, dim) |
|
628
|
|
|
|
|
629
|
|
|
def add(thread_i): |
|
630
|
|
|
logging.getLogger().info("In thread-%d" % thread_i) |
|
631
|
|
|
# milvus = get_milvus(host=args["ip"], port=args["port"], handler=args["handler"]) |
|
632
|
|
|
# assert milvus |
|
633
|
|
|
status, result = milvus.insert(collection, records=vectors) |
|
634
|
|
|
assert status.OK() |
|
635
|
|
|
status = milvus.flush([collection]) |
|
636
|
|
|
assert status.OK() |
|
637
|
|
|
for i in range(thread_num): |
|
638
|
|
|
x = threading.Thread(target=add, args=(i, )) |
|
639
|
|
|
threads.append(x) |
|
640
|
|
|
x.start() |
|
641
|
|
|
for th in threads: |
|
642
|
|
|
th.join() |
|
643
|
|
|
status, res = milvus.count_entities(collection) |
|
644
|
|
|
assert res == thread_num * nb |
|
645
|
|
|
|
|
646
|
|
View Code Duplication |
def test_add_vector_multi_collections(self, connect): |
|
|
|
|
|
|
647
|
|
|
''' |
|
648
|
|
|
target: test add vectors is correct or not with multiple collections of L2 |
|
649
|
|
|
method: create 50 collections and add vectors into them in turn |
|
650
|
|
|
expected: status ok |
|
651
|
|
|
''' |
|
652
|
|
|
nq = 100 |
|
653
|
|
|
vectors = gen_vectors(nq, dim) |
|
654
|
|
|
collection_list = [] |
|
655
|
|
|
for i in range(20): |
|
656
|
|
|
collection_name = gen_unique_str( |
|
657
|
|
|
'test_add_vector_multi_collections') |
|
658
|
|
|
collection_list.append(collection_name) |
|
659
|
|
|
param = {'collection_name': collection_name, |
|
660
|
|
|
'dimension': dim, |
|
661
|
|
|
'index_file_size': index_file_size, |
|
662
|
|
|
'metric_type': MetricType.L2} |
|
663
|
|
|
connect.create_collection(param) |
|
664
|
|
|
for j in range(5): |
|
665
|
|
|
for i in range(20): |
|
666
|
|
|
status, ids = connect.insert( |
|
667
|
|
|
collection_name=collection_list[i], records=vectors) |
|
668
|
|
|
assert status.OK() |
|
669
|
|
|
|
|
670
|
|
|
|
|
671
|
|
|
class TestAddAsync: |
|
672
|
|
|
@pytest.fixture(scope="function", autouse=True) |
|
673
|
|
|
def skip_http_check(self, args): |
|
674
|
|
|
if args["handler"] == "HTTP": |
|
675
|
|
|
pytest.skip("skip in http mode") |
|
676
|
|
|
|
|
677
|
|
|
@pytest.fixture( |
|
678
|
|
|
scope="function", |
|
679
|
|
|
params=[ |
|
680
|
|
|
1, |
|
681
|
|
|
1000 |
|
682
|
|
|
], |
|
683
|
|
|
) |
|
684
|
|
|
def insert_count(self, request): |
|
685
|
|
|
yield request.param |
|
686
|
|
|
|
|
687
|
|
|
def check_status(self, status, result): |
|
688
|
|
|
logging.getLogger().info("In callback check status") |
|
689
|
|
|
assert status.OK() |
|
690
|
|
|
|
|
691
|
|
|
def check_status_not_ok(self, status, result): |
|
692
|
|
|
logging.getLogger().info("In callback check status") |
|
693
|
|
|
assert not status.OK() |
|
694
|
|
|
|
|
695
|
|
|
def test_insert_async(self, connect, collection, insert_count): |
|
696
|
|
|
''' |
|
697
|
|
|
target: test add vectors with different length of vectors |
|
698
|
|
|
method: set different vectors as add method params |
|
699
|
|
|
expected: length of ids is equal to the length of vectors |
|
700
|
|
|
''' |
|
701
|
|
|
nb = insert_count |
|
702
|
|
|
insert_vec_list = gen_vectors(nb, dim) |
|
703
|
|
|
future = connect.insert(collection, insert_vec_list, _async=True) |
|
704
|
|
|
status, ids = future.result() |
|
705
|
|
|
connect.flush([collection]) |
|
706
|
|
|
assert len(ids) == nb |
|
707
|
|
|
assert status.OK() |
|
708
|
|
|
|
|
709
|
|
|
@pytest.mark.level(2) |
|
710
|
|
|
def test_insert_async_false(self, connect, collection, insert_count): |
|
711
|
|
|
''' |
|
712
|
|
|
target: test add vectors with different length of vectors |
|
713
|
|
|
method: set different vectors as add method params |
|
714
|
|
|
expected: length of ids is equal to the length of vectors |
|
715
|
|
|
''' |
|
716
|
|
|
nb = insert_count |
|
717
|
|
|
insert_vec_list = gen_vectors(nb, dim) |
|
718
|
|
|
status, ids = connect.insert(collection, insert_vec_list, _async=False) |
|
719
|
|
|
connect.flush([collection]) |
|
720
|
|
|
assert len(ids) == nb |
|
721
|
|
|
assert status.OK() |
|
722
|
|
|
|
|
723
|
|
|
def test_insert_async_callback(self, connect, collection, insert_count): |
|
724
|
|
|
''' |
|
725
|
|
|
target: test add vectors with different length of vectors |
|
726
|
|
|
method: set different vectors as add method params |
|
727
|
|
|
expected: length of ids is equal to the length of vectors |
|
728
|
|
|
''' |
|
729
|
|
|
nb = insert_count |
|
730
|
|
|
insert_vec_list = gen_vectors(nb, dim) |
|
731
|
|
|
future = connect.insert( |
|
732
|
|
|
collection, insert_vec_list, _async=True, _callback=self.check_status) |
|
733
|
|
|
future.done() |
|
734
|
|
|
|
|
735
|
|
|
@pytest.mark.level(2) |
|
736
|
|
|
def test_insert_async_long(self, connect, collection): |
|
737
|
|
|
''' |
|
738
|
|
|
target: test add vectors with different length of vectors |
|
739
|
|
|
method: set different vectors as add method params |
|
740
|
|
|
expected: length of ids is equal to the length of vectors |
|
741
|
|
|
''' |
|
742
|
|
|
nb = 50000 |
|
743
|
|
|
insert_vec_list = gen_vectors(nb, dim) |
|
744
|
|
|
future = connect.insert( |
|
745
|
|
|
collection, insert_vec_list, _async=True, _callback=self.check_status) |
|
746
|
|
|
status, result = future.result() |
|
747
|
|
|
assert status.OK() |
|
748
|
|
|
assert len(result) == nb |
|
749
|
|
|
connect.flush([collection]) |
|
750
|
|
|
status, count = connect.count_entities(collection) |
|
751
|
|
|
assert status.OK() |
|
752
|
|
|
logging.getLogger().info(status) |
|
753
|
|
|
logging.getLogger().info(count) |
|
754
|
|
|
assert count == nb |
|
755
|
|
|
|
|
756
|
|
|
def test_insert_async_callback_timeout(self, connect, collection): |
|
757
|
|
|
''' |
|
758
|
|
|
target: test add vectors with different length of vectors |
|
759
|
|
|
method: set different vectors as add method params |
|
760
|
|
|
expected: length of ids is equal to the length of vectors |
|
761
|
|
|
''' |
|
762
|
|
|
nb = 100000 |
|
763
|
|
|
insert_vec_list = gen_vectors(nb, dim) |
|
764
|
|
|
future = connect.insert(collection, insert_vec_list, |
|
765
|
|
|
_async=True, _callback=self.check_status, timeout=1) |
|
766
|
|
|
future.done() |
|
767
|
|
|
|
|
768
|
|
|
def test_insert_async_invalid_params(self, connect, collection): |
|
769
|
|
|
''' |
|
770
|
|
|
target: test add vectors with different length of vectors |
|
771
|
|
|
method: set different vectors as add method params |
|
772
|
|
|
expected: length of ids is equal to the length of vectors |
|
773
|
|
|
''' |
|
774
|
|
|
insert_vec_list = gen_vectors(nb, dim) |
|
775
|
|
|
collection_new = gen_unique_str() |
|
776
|
|
|
future = connect.insert(collection_new, insert_vec_list, _async=True) |
|
777
|
|
|
status, result = future.result() |
|
778
|
|
|
assert not status.OK() |
|
779
|
|
|
|
|
780
|
|
|
# TODO: add assertion |
|
781
|
|
|
def test_insert_async_invalid_params_raise_exception(self, connect, collection): |
|
782
|
|
|
''' |
|
783
|
|
|
target: test add vectors with different length of vectors |
|
784
|
|
|
method: set different vectors as add method params |
|
785
|
|
|
expected: length of ids is equal to the length of vectors |
|
786
|
|
|
''' |
|
787
|
|
|
insert_vec_list = [] |
|
788
|
|
|
collection_new = gen_unique_str() |
|
789
|
|
|
with pytest.raises(Exception) as e: |
|
790
|
|
|
future = connect.insert( |
|
791
|
|
|
collection_new, insert_vec_list, _async=True) |
|
792
|
|
|
|
|
793
|
|
|
|
|
794
|
|
|
|
|
795
|
|
|
class TestAddIP: |
|
796
|
|
|
""" |
|
797
|
|
|
****************************************************************** |
|
798
|
|
|
The following cases are used to test `insert / index / search / delete` mixed function |
|
799
|
|
|
****************************************************************** |
|
800
|
|
|
""" |
|
801
|
|
View Code Duplication |
@pytest.fixture( |
|
|
|
|
|
|
802
|
|
|
scope="function", |
|
803
|
|
|
params=gen_simple_index() |
|
804
|
|
|
) |
|
805
|
|
|
def get_simple_index(self, request, connect): |
|
806
|
|
|
if str(connect._cmd("mode")[1]) == "CPU": |
|
807
|
|
|
if request.param["index_type"] == IndexType.IVF_SQ8H: |
|
808
|
|
|
pytest.skip("sq8h not support in cpu mode") |
|
809
|
|
|
if request.param["index_type"] == IndexType.IVF_PQ: |
|
810
|
|
|
pytest.skip("Skip PQ Temporary") |
|
811
|
|
|
return request.param |
|
812
|
|
|
|
|
813
|
|
|
def test_add_vector_create_collection(self, connect, ip_collection): |
|
814
|
|
|
''' |
|
815
|
|
|
target: test add vector, then create collection again |
|
816
|
|
|
method: add vector and create collection |
|
817
|
|
|
expected: status not ok |
|
818
|
|
|
''' |
|
819
|
|
|
vector = gen_single_vector(dim) |
|
820
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
821
|
|
|
param = {'collection_name': ip_collection, |
|
822
|
|
|
'dimension': dim, |
|
823
|
|
|
'index_file_size': index_file_size, |
|
824
|
|
|
'metric_type': MetricType.L2} |
|
825
|
|
|
status = connect.create_collection(param) |
|
826
|
|
|
assert not status.OK() |
|
827
|
|
|
|
|
828
|
|
|
def test_add_vector_has_collection(self, connect, ip_collection): |
|
829
|
|
|
''' |
|
830
|
|
|
target: test add vector, then check collection existence |
|
831
|
|
|
method: add vector and call Hascollection |
|
832
|
|
|
expected: collection exists, status ok |
|
833
|
|
|
''' |
|
834
|
|
|
vector = gen_single_vector(dim) |
|
835
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
836
|
|
|
assert assert_has_collection(connect, ip_collection) |
|
837
|
|
|
|
|
838
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
839
|
|
|
def test_drop_collection_add_vector(self, connect, ip_collection): |
|
840
|
|
|
''' |
|
841
|
|
|
target: test add vector after collection deleted |
|
842
|
|
|
method: delete collection and add vector |
|
843
|
|
|
expected: status not ok |
|
844
|
|
|
''' |
|
845
|
|
|
status = connect.drop_collection(ip_collection) |
|
846
|
|
|
vector = gen_single_vector(dim) |
|
847
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
848
|
|
|
assert not status.OK() |
|
849
|
|
|
|
|
850
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
851
|
|
|
def test_drop_collection_add_vector_another(self, connect, ip_collection): |
|
852
|
|
|
''' |
|
853
|
|
|
target: test add vector to collection_1 after collection_2 deleted |
|
854
|
|
|
method: delete collection_2 and add vector to collection_1 |
|
855
|
|
|
expected: status ok |
|
856
|
|
|
''' |
|
857
|
|
|
param = {'collection_name': gen_unique_str(), |
|
858
|
|
|
'dimension': dim, |
|
859
|
|
|
'index_file_size': index_file_size, |
|
860
|
|
|
'metric_type': MetricType.L2} |
|
861
|
|
|
status = connect.create_collection(param) |
|
862
|
|
|
status = connect.drop_collection(ip_collection) |
|
863
|
|
|
vector = gen_single_vector(dim) |
|
864
|
|
|
status, ids = connect.insert(param['collection_name'], vector) |
|
865
|
|
|
assert status.OK() |
|
866
|
|
|
|
|
867
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
868
|
|
|
def test_add_vector_drop_collection(self, connect, ip_collection): |
|
869
|
|
|
''' |
|
870
|
|
|
target: test delete collection after add vector |
|
871
|
|
|
method: add vector and delete collection |
|
872
|
|
|
expected: status ok |
|
873
|
|
|
''' |
|
874
|
|
|
vector = gen_single_vector(dim) |
|
875
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
876
|
|
|
status = connect.drop_collection(ip_collection) |
|
877
|
|
|
assert status.OK() |
|
878
|
|
|
|
|
879
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
880
|
|
|
def test_add_vector_delete_another_collection(self, connect, ip_collection): |
|
881
|
|
|
''' |
|
882
|
|
|
target: test delete collection_1 collection after add vector to collection_2 |
|
883
|
|
|
method: add vector and delete collection |
|
884
|
|
|
expected: status ok |
|
885
|
|
|
''' |
|
886
|
|
|
param = {'collection_name': 'test_add_vector_delete_another_collection', |
|
887
|
|
|
'dimension': dim, |
|
888
|
|
|
'index_file_size': index_file_size, |
|
889
|
|
|
'metric_type': MetricType.L2} |
|
890
|
|
|
status = connect.create_collection(param) |
|
891
|
|
|
vector = gen_single_vector(dim) |
|
892
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
893
|
|
|
status = connect.drop_collection(param['collection_name']) |
|
894
|
|
|
assert status.OK() |
|
895
|
|
|
|
|
896
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
897
|
|
|
def test_add_vector_sleep_drop_collection(self, connect, ip_collection): |
|
898
|
|
|
''' |
|
899
|
|
|
target: test delete collection after add vector for a while |
|
900
|
|
|
method: add vector, sleep, and delete collection |
|
901
|
|
|
expected: status ok |
|
902
|
|
|
''' |
|
903
|
|
|
vector = gen_single_vector(dim) |
|
904
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
905
|
|
|
connect.flush([ip_collection]) |
|
906
|
|
|
status = connect.drop_collection(ip_collection) |
|
907
|
|
|
assert status.OK() |
|
908
|
|
|
|
|
909
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
910
|
|
|
def test_add_vector_sleep_delete_another_collection(self, connect, ip_collection): |
|
911
|
|
|
''' |
|
912
|
|
|
target: test delete collection_1 collection after add vector to collection_2 for a while |
|
913
|
|
|
method: add vector , sleep, and delete collection |
|
914
|
|
|
expected: status ok |
|
915
|
|
|
''' |
|
916
|
|
|
param = {'collection_name': gen_unique_str(), |
|
917
|
|
|
'dimension': dim, |
|
918
|
|
|
'index_file_size': index_file_size, |
|
919
|
|
|
'metric_type': MetricType.L2} |
|
920
|
|
|
status = connect.create_collection(param) |
|
921
|
|
|
vector = gen_single_vector(dim) |
|
922
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
923
|
|
|
connect.flush([ip_collection]) |
|
924
|
|
|
status = connect.drop_collection(param['collection_name']) |
|
925
|
|
|
assert status.OK() |
|
926
|
|
|
|
|
927
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
928
|
|
|
def test_create_index_add_vector(self, connect, ip_collection, get_simple_index): |
|
929
|
|
|
''' |
|
930
|
|
|
target: test add vector after build index |
|
931
|
|
|
method: build index and add vector |
|
932
|
|
|
expected: status ok |
|
933
|
|
|
''' |
|
934
|
|
|
index_param = get_simple_index["index_param"] |
|
935
|
|
|
index_type = get_simple_index["index_type"] |
|
936
|
|
|
status = connect.create_index(ip_collection, index_type, index_param) |
|
937
|
|
|
vector = gen_single_vector(dim) |
|
938
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
939
|
|
|
assert status.OK() |
|
940
|
|
|
|
|
941
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
942
|
|
|
def test_create_index_add_vector_another(self, connect, ip_collection, get_simple_index): |
|
943
|
|
|
''' |
|
944
|
|
|
target: test add vector to collection_2 after build index for collection_1 |
|
945
|
|
|
method: build index and add vector |
|
946
|
|
|
expected: status ok |
|
947
|
|
|
''' |
|
948
|
|
|
index_param = get_simple_index["index_param"] |
|
949
|
|
|
index_type = get_simple_index["index_type"] |
|
950
|
|
|
param = {'collection_name': gen_unique_str(), |
|
951
|
|
|
'dimension': dim, |
|
952
|
|
|
'index_file_size': index_file_size, |
|
953
|
|
|
'metric_type': MetricType.L2} |
|
954
|
|
|
status = connect.create_collection(param) |
|
955
|
|
|
status = connect.create_index(ip_collection, index_type, index_param) |
|
956
|
|
|
vector = gen_single_vector(dim) |
|
957
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
958
|
|
|
assert status.OK() |
|
959
|
|
|
|
|
960
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
961
|
|
|
def test_add_vector_create_index(self, connect, ip_collection, get_simple_index): |
|
962
|
|
|
''' |
|
963
|
|
|
target: test build index add after vector |
|
964
|
|
|
method: add vector and build index |
|
965
|
|
|
expected: status ok |
|
966
|
|
|
''' |
|
967
|
|
|
index_param = get_simple_index["index_param"] |
|
968
|
|
|
index_type = get_simple_index["index_type"] |
|
969
|
|
|
vector = gen_single_vector(dim) |
|
970
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
971
|
|
|
status, mode = connect._cmd("mode") |
|
972
|
|
|
assert status.OK() |
|
973
|
|
|
status = connect.create_index(ip_collection, index_type, index_param) |
|
974
|
|
|
if str(mode) == "GPU" and (index_type == IndexType.IVF_PQ): |
|
975
|
|
|
assert not status.OK() |
|
976
|
|
|
else: |
|
977
|
|
|
assert status.OK() |
|
978
|
|
|
|
|
979
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
980
|
|
|
def test_add_vector_create_index_another(self, connect, ip_collection, get_simple_index): |
|
981
|
|
|
''' |
|
982
|
|
|
target: test add vector to collection_2 after build index for collection_1 |
|
983
|
|
|
method: build index and add vector |
|
984
|
|
|
expected: status ok |
|
985
|
|
|
''' |
|
986
|
|
|
index_param = get_simple_index["index_param"] |
|
987
|
|
|
index_type = get_simple_index["index_type"] |
|
988
|
|
|
param = {'collection_name': gen_unique_str(), |
|
989
|
|
|
'dimension': dim, |
|
990
|
|
|
'index_file_size': index_file_size, |
|
991
|
|
|
'metric_type': MetricType.L2} |
|
992
|
|
|
status = connect.create_collection(param) |
|
993
|
|
|
vector = gen_single_vector(dim) |
|
994
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
995
|
|
|
status = connect.create_index( |
|
996
|
|
|
param['collection_name'], index_type, index_param) |
|
997
|
|
|
assert status.OK() |
|
998
|
|
|
|
|
999
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
1000
|
|
|
def test_add_vector_sleep_create_index(self, connect, ip_collection, get_simple_index): |
|
1001
|
|
|
''' |
|
1002
|
|
|
target: test build index add after vector for a while |
|
1003
|
|
|
method: add vector and build index |
|
1004
|
|
|
expected: status ok |
|
1005
|
|
|
''' |
|
1006
|
|
|
index_param = get_simple_index["index_param"] |
|
1007
|
|
|
index_type = get_simple_index["index_type"] |
|
1008
|
|
|
if index_type == IndexType.IVF_PQ: |
|
1009
|
|
|
pytest.skip("Skip some PQ cases") |
|
1010
|
|
|
vector = gen_single_vector(dim) |
|
1011
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
1012
|
|
|
assert status.OK() |
|
1013
|
|
|
time.sleep(add_interval_time) |
|
1014
|
|
|
status = connect.create_index(ip_collection, index_type, index_param) |
|
1015
|
|
|
assert status.OK() |
|
1016
|
|
|
|
|
1017
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
1018
|
|
|
def test_add_vector_sleep_create_index_another(self, connect, ip_collection, get_simple_index): |
|
1019
|
|
|
''' |
|
1020
|
|
|
target: test add vector to collection_2 after build index for collection_1 for a while |
|
1021
|
|
|
method: build index and add vector |
|
1022
|
|
|
expected: status ok |
|
1023
|
|
|
''' |
|
1024
|
|
|
index_param = get_simple_index["index_param"] |
|
1025
|
|
|
index_type = get_simple_index["index_type"] |
|
1026
|
|
|
param = {'collection_name': gen_unique_str(), |
|
1027
|
|
|
'dimension': dim, |
|
1028
|
|
|
'index_file_size': index_file_size, |
|
1029
|
|
|
'metric_type': MetricType.L2} |
|
1030
|
|
|
status = connect.create_collection(param) |
|
1031
|
|
|
vector = gen_single_vector(dim) |
|
1032
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
1033
|
|
|
connect.flush([ip_collection]) |
|
1034
|
|
|
status = connect.create_index( |
|
1035
|
|
|
param['collection_name'], index_type, index_param) |
|
1036
|
|
|
assert status.OK() |
|
1037
|
|
|
|
|
1038
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
1039
|
|
|
def test_search_vector_add_vector(self, connect, ip_collection): |
|
1040
|
|
|
''' |
|
1041
|
|
|
target: test add vector after search collection |
|
1042
|
|
|
method: search collection and add vector |
|
1043
|
|
|
expected: status ok |
|
1044
|
|
|
''' |
|
1045
|
|
|
vector = gen_single_vector(dim) |
|
1046
|
|
|
status, result = connect.search(ip_collection, 1, vector) |
|
1047
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
1048
|
|
|
assert status.OK() |
|
1049
|
|
|
|
|
1050
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
1051
|
|
|
def test_search_vector_add_vector_another(self, connect, ip_collection): |
|
1052
|
|
|
''' |
|
1053
|
|
|
target: test add vector to collection_1 after search collection_2 |
|
1054
|
|
|
method: search collection and add vector |
|
1055
|
|
|
expected: status ok |
|
1056
|
|
|
''' |
|
1057
|
|
|
param = {'collection_name': gen_unique_str(), |
|
1058
|
|
|
'dimension': dim, |
|
1059
|
|
|
'index_file_size': index_file_size, |
|
1060
|
|
|
'metric_type': MetricType.L2} |
|
1061
|
|
|
status = connect.create_collection(param) |
|
1062
|
|
|
vector = gen_single_vector(dim) |
|
1063
|
|
|
status, result = connect.search(ip_collection, 1, vector) |
|
1064
|
|
|
status, ids = connect.insert(param['collection_name'], vector) |
|
1065
|
|
|
assert status.OK() |
|
1066
|
|
|
|
|
1067
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
1068
|
|
|
def test_add_vector_search_vector(self, connect, ip_collection): |
|
1069
|
|
|
''' |
|
1070
|
|
|
target: test search vector after add vector |
|
1071
|
|
|
method: add vector and search collection |
|
1072
|
|
|
expected: status ok |
|
1073
|
|
|
''' |
|
1074
|
|
|
vector = gen_single_vector(dim) |
|
1075
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
1076
|
|
|
assert status.OK() |
|
1077
|
|
|
connect.flush([ip_collection]) |
|
1078
|
|
|
status, result = connect.search(ip_collection, 1, vector) |
|
1079
|
|
|
assert status.OK() |
|
1080
|
|
|
|
|
1081
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
1082
|
|
|
def test_add_vector_search_vector_another(self, connect, ip_collection): |
|
1083
|
|
|
''' |
|
1084
|
|
|
target: test add vector to collection_1 after search collection_2 |
|
1085
|
|
|
method: search collection and add vector |
|
1086
|
|
|
expected: status ok |
|
1087
|
|
|
''' |
|
1088
|
|
|
param = {'collection_name': gen_unique_str(), |
|
1089
|
|
|
'dimension': dim, |
|
1090
|
|
|
'index_file_size': index_file_size, |
|
1091
|
|
|
'metric_type': MetricType.L2} |
|
1092
|
|
|
status = connect.create_collection(param) |
|
1093
|
|
|
vector = gen_single_vector(dim) |
|
1094
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
1095
|
|
|
connect.flush([ip_collection]) |
|
1096
|
|
|
status, result = connect.search(param['collection_name'], 1, vector) |
|
1097
|
|
|
assert status.OK() |
|
1098
|
|
|
|
|
1099
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
1100
|
|
|
def test_add_vector_sleep_search_vector(self, connect, ip_collection): |
|
1101
|
|
|
''' |
|
1102
|
|
|
target: test search vector after add vector after a while |
|
1103
|
|
|
method: add vector, sleep, and search collection |
|
1104
|
|
|
expected: status ok |
|
1105
|
|
|
''' |
|
1106
|
|
|
vector = gen_single_vector(dim) |
|
1107
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
1108
|
|
|
time.sleep(add_interval_time) |
|
1109
|
|
|
status, result = connect.search(ip_collection, 1, vector) |
|
1110
|
|
|
assert status.OK() |
|
1111
|
|
|
|
|
1112
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
1113
|
|
|
def test_add_vector_sleep_search_vector_another(self, connect, ip_collection): |
|
1114
|
|
|
''' |
|
1115
|
|
|
target: test add vector to collection_1 after search collection_2 a while |
|
1116
|
|
|
method: search collection , sleep, and add vector |
|
1117
|
|
|
expected: status ok |
|
1118
|
|
|
''' |
|
1119
|
|
|
param = {'collection_name': gen_unique_str(), |
|
1120
|
|
|
'dimension': dim, |
|
1121
|
|
|
'index_file_size': index_file_size, |
|
1122
|
|
|
'metric_type': MetricType.L2} |
|
1123
|
|
|
status = connect.create_collection(param) |
|
1124
|
|
|
vector = gen_single_vector(dim) |
|
1125
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
1126
|
|
|
assert status.OK() |
|
1127
|
|
|
time.sleep(add_interval_time) |
|
1128
|
|
|
status, result = connect.search(param['collection_name'], 1, vector) |
|
1129
|
|
|
assert status.OK() |
|
1130
|
|
|
|
|
1131
|
|
|
""" |
|
1132
|
|
|
****************************************************************** |
|
1133
|
|
|
The following cases are used to test `insert` function |
|
1134
|
|
|
****************************************************************** |
|
1135
|
|
|
""" |
|
1136
|
|
|
|
|
1137
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
1138
|
|
|
def test_insert_ids(self, connect, ip_collection): |
|
1139
|
|
|
''' |
|
1140
|
|
|
target: test add vectors in collection, use customize ids |
|
1141
|
|
|
method: create collection and add vectors in it, check the ids returned and the collection length after vectors added |
|
1142
|
|
|
expected: the length of ids and the collection row count |
|
1143
|
|
|
''' |
|
1144
|
|
|
nq = 5 |
|
1145
|
|
|
top_k = 1 |
|
1146
|
|
|
vectors = gen_vectors(nq, dim) |
|
1147
|
|
|
ids = [i for i in range(nq)] |
|
1148
|
|
|
status, ids = connect.insert(ip_collection, vectors, ids) |
|
1149
|
|
|
assert status.OK() |
|
1150
|
|
|
connect.flush([ip_collection]) |
|
1151
|
|
|
assert len(ids) == nq |
|
1152
|
|
|
# check search result |
|
1153
|
|
|
status, result = connect.search(ip_collection, top_k, vectors) |
|
1154
|
|
|
logging.getLogger().info(result) |
|
1155
|
|
|
assert len(result) == nq |
|
1156
|
|
|
for i in range(nq): |
|
1157
|
|
|
assert result[i][0].id == i |
|
1158
|
|
|
|
|
1159
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
1160
|
|
|
def test_insert_twice_ids_no_ids(self, connect, ip_collection): |
|
1161
|
|
|
''' |
|
1162
|
|
|
target: check the result of insert, with params ids and no ids |
|
1163
|
|
|
method: test add vectors twice, use customize ids first, and then use no ids |
|
1164
|
|
|
expected: status not OK |
|
1165
|
|
|
''' |
|
1166
|
|
|
nq = 5 |
|
1167
|
|
|
top_k = 1 |
|
1168
|
|
|
vectors = gen_vectors(nq, dim) |
|
1169
|
|
|
ids = [i for i in range(nq)] |
|
1170
|
|
|
status, ids = connect.insert(ip_collection, vectors, ids) |
|
1171
|
|
|
assert status.OK() |
|
1172
|
|
|
status, ids = connect.insert(ip_collection, vectors) |
|
1173
|
|
|
logging.getLogger().info(status) |
|
1174
|
|
|
logging.getLogger().info(ids) |
|
1175
|
|
|
assert not status.OK() |
|
1176
|
|
|
|
|
1177
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
1178
|
|
|
def test_insert_twice_not_ids_ids(self, connect, ip_collection): |
|
1179
|
|
|
''' |
|
1180
|
|
|
target: check the result of insert, with params ids and no ids |
|
1181
|
|
|
method: test add vectors twice, use not ids first, and then use customize ids |
|
1182
|
|
|
expected: status not OK |
|
1183
|
|
|
''' |
|
1184
|
|
|
nq = 5 |
|
1185
|
|
|
top_k = 1 |
|
1186
|
|
|
vectors = gen_vectors(nq, dim) |
|
1187
|
|
|
ids = [i for i in range(nq)] |
|
1188
|
|
|
status, ids = connect.insert(ip_collection, vectors) |
|
1189
|
|
|
assert status.OK() |
|
1190
|
|
|
status, ids = connect.insert(ip_collection, vectors, ids) |
|
1191
|
|
|
logging.getLogger().info(status) |
|
1192
|
|
|
logging.getLogger().info(ids) |
|
1193
|
|
|
assert not status.OK() |
|
1194
|
|
|
|
|
1195
|
|
View Code Duplication |
@pytest.mark.timeout(ADD_TIMEOUT) |
|
|
|
|
|
|
1196
|
|
|
def test_insert_ids_length_not_match(self, connect, ip_collection): |
|
1197
|
|
|
''' |
|
1198
|
|
|
target: test add vectors in collection, use customize ids, len(ids) != len(vectors) |
|
1199
|
|
|
method: create collection and add vectors in it |
|
1200
|
|
|
expected: raise an exception |
|
1201
|
|
|
''' |
|
1202
|
|
|
nq = 5 |
|
1203
|
|
|
vectors = gen_vectors(nq, dim) |
|
1204
|
|
|
ids = [i for i in range(1, nq)] |
|
1205
|
|
|
with pytest.raises(Exception) as e: |
|
1206
|
|
|
status, ids = connect.insert(ip_collection, vectors, ids) |
|
1207
|
|
|
|
|
1208
|
|
|
@pytest.fixture( |
|
1209
|
|
|
scope="function", |
|
1210
|
|
|
params=gen_invalid_vector_ids() |
|
1211
|
|
|
) |
|
1212
|
|
|
def get_vector_id(self, request): |
|
1213
|
|
|
yield request.param |
|
1214
|
|
|
|
|
1215
|
|
|
@pytest.mark.level(2) |
|
1216
|
|
|
def test_insert_ids_invalid(self, connect, ip_collection, get_vector_id): |
|
1217
|
|
|
''' |
|
1218
|
|
|
target: test add vectors in collection, use customize ids, which are not int64 |
|
1219
|
|
|
method: create collection and add vectors in it |
|
1220
|
|
|
expected: raise an exception |
|
1221
|
|
|
''' |
|
1222
|
|
|
nq = 5 |
|
1223
|
|
|
vectors = gen_vectors(nq, dim) |
|
1224
|
|
|
vector_id = get_vector_id |
|
1225
|
|
|
ids = [vector_id for i in range(nq)] |
|
1226
|
|
|
with pytest.raises(Exception) as e: |
|
1227
|
|
|
status, ids = connect.insert(ip_collection, vectors, ids) |
|
1228
|
|
|
|
|
1229
|
|
|
@pytest.mark.timeout(ADD_TIMEOUT) |
|
1230
|
|
|
def test_insert(self, connect, ip_collection): |
|
1231
|
|
|
''' |
|
1232
|
|
|
target: test add vectors in collection created before |
|
1233
|
|
|
method: create collection and add vectors in it, check the ids returned and the collection length after vectors added |
|
1234
|
|
|
expected: the length of ids and the collection row count |
|
1235
|
|
|
''' |
|
1236
|
|
|
nq = 5 |
|
1237
|
|
|
vectors = gen_vectors(nq, dim) |
|
1238
|
|
|
status, ids = connect.insert(ip_collection, vectors) |
|
1239
|
|
|
assert status.OK() |
|
1240
|
|
|
assert len(ids) == nq |
|
1241
|
|
|
|
|
1242
|
|
|
# @pytest.mark.level(2) |
|
1243
|
|
|
# def test_insert_without_connect(self, dis_connect, ip_collection): |
|
1244
|
|
|
# ''' |
|
1245
|
|
|
# target: test add vectors without connection |
|
1246
|
|
|
# method: create collection and add vectors in it, check if added successfully |
|
1247
|
|
|
# expected: raise exception |
|
1248
|
|
|
# ''' |
|
1249
|
|
|
# nq = 5 |
|
1250
|
|
|
# vectors = gen_vectors(nq, dim) |
|
1251
|
|
|
# with pytest.raises(Exception) as e: |
|
1252
|
|
|
# status, ids = dis_connect.insert(ip_collection, vectors) |
|
1253
|
|
|
|
|
1254
|
|
|
def test_add_vector_dim_not_matched(self, connect, ip_collection): |
|
1255
|
|
|
''' |
|
1256
|
|
|
target: test add vector, the vector dimension is not equal to the collection dimension |
|
1257
|
|
|
method: the vector dimension is half of the collection dimension, check the status |
|
1258
|
|
|
expected: status not ok |
|
1259
|
|
|
''' |
|
1260
|
|
|
vector = gen_single_vector(int(dim)//2) |
|
1261
|
|
|
status, ids = connect.insert(ip_collection, vector) |
|
1262
|
|
|
assert not status.OK() |
|
1263
|
|
|
|
|
1264
|
|
|
def test_insert_dim_not_matched(self, connect, ip_collection): |
|
1265
|
|
|
''' |
|
1266
|
|
|
target: test add vectors, the vector dimension is not equal to the collection dimension |
|
1267
|
|
|
method: the vectors dimension is half of the collection dimension, check the status |
|
1268
|
|
|
expected: status not ok |
|
1269
|
|
|
''' |
|
1270
|
|
|
nq = 5 |
|
1271
|
|
|
vectors = gen_vectors(nq, int(dim)//2) |
|
1272
|
|
|
status, ids = connect.insert(ip_collection, vectors) |
|
1273
|
|
|
assert not status.OK() |
|
1274
|
|
|
|
|
1275
|
|
|
def test_add_vector_query_after_sleep(self, connect, ip_collection): |
|
1276
|
|
|
''' |
|
1277
|
|
|
target: test add vectors, and search it after sleep |
|
1278
|
|
|
method: set vector[0][1] as query vectors |
|
1279
|
|
|
expected: status ok and result length is 1 |
|
1280
|
|
|
''' |
|
1281
|
|
|
nq = 5 |
|
1282
|
|
|
vectors = gen_vectors(nq, dim) |
|
1283
|
|
|
status, ids = connect.insert(ip_collection, vectors) |
|
1284
|
|
|
time.sleep(add_interval_time) |
|
1285
|
|
|
status, result = connect.search(ip_collection, 1, [vectors[0]]) |
|
1286
|
|
|
assert status.OK() |
|
1287
|
|
|
assert len(result) == 1 |
|
1288
|
|
|
|
|
1289
|
|
View Code Duplication |
def test_add_vector_multi_collections(self, connect): |
|
|
|
|
|
|
1290
|
|
|
''' |
|
1291
|
|
|
target: test add vectors is correct or not with multiple collections of IP |
|
1292
|
|
|
method: create 50 collections and add vectors into them in turn |
|
1293
|
|
|
expected: status ok |
|
1294
|
|
|
''' |
|
1295
|
|
|
nq = 100 |
|
1296
|
|
|
vectors = gen_vectors(nq, dim) |
|
1297
|
|
|
collection_list = [] |
|
1298
|
|
|
for i in range(20): |
|
1299
|
|
|
collection_name = gen_unique_str( |
|
1300
|
|
|
'test_add_vector_multi_collections') |
|
1301
|
|
|
collection_list.append(collection_name) |
|
1302
|
|
|
param = {'collection_name': collection_name, |
|
1303
|
|
|
'dimension': dim, |
|
1304
|
|
|
'index_file_size': index_file_size, |
|
1305
|
|
|
'metric_type': MetricType.IP} |
|
1306
|
|
|
connect.create_collection(param) |
|
1307
|
|
|
for j in range(10): |
|
1308
|
|
|
for i in range(20): |
|
1309
|
|
|
status, ids = connect.insert( |
|
1310
|
|
|
collection_name=collection_list[i], records=vectors) |
|
1311
|
|
|
assert status.OK() |
|
1312
|
|
|
|
|
1313
|
|
|
|
|
1314
|
|
|
class TestAddAdvance: |
|
1315
|
|
|
@pytest.fixture( |
|
1316
|
|
|
scope="function", |
|
1317
|
|
|
params=[ |
|
1318
|
|
|
1, |
|
1319
|
|
|
1000, |
|
1320
|
|
|
6000 |
|
1321
|
|
|
], |
|
1322
|
|
|
) |
|
1323
|
|
|
def insert_count(self, request): |
|
1324
|
|
|
yield request.param |
|
1325
|
|
|
|
|
1326
|
|
|
def test_insert_much(self, connect, collection, insert_count): |
|
1327
|
|
|
''' |
|
1328
|
|
|
target: test add vectors with different length of vectors |
|
1329
|
|
|
method: set different vectors as add method params |
|
1330
|
|
|
expected: length of ids is equal to the length of vectors |
|
1331
|
|
|
''' |
|
1332
|
|
|
nb = insert_count |
|
1333
|
|
|
insert_vec_list = gen_vectors(nb, dim) |
|
1334
|
|
|
status, ids = connect.insert(collection, insert_vec_list) |
|
1335
|
|
|
assert len(ids) == nb |
|
1336
|
|
|
assert status.OK() |
|
1337
|
|
|
|
|
1338
|
|
|
def test_insert_much_ip(self, connect, ip_collection, insert_count): |
|
1339
|
|
|
''' |
|
1340
|
|
|
target: test add vectors with different length of vectors |
|
1341
|
|
|
method: set different vectors as add method params |
|
1342
|
|
|
expected: length of ids is equal to the length of vectors |
|
1343
|
|
|
''' |
|
1344
|
|
|
nb = insert_count |
|
1345
|
|
|
insert_vec_list = gen_vectors(nb, dim) |
|
1346
|
|
|
status, ids = connect.insert(ip_collection, insert_vec_list) |
|
1347
|
|
|
assert len(ids) == nb |
|
1348
|
|
|
assert status.OK() |
|
1349
|
|
|
|
|
1350
|
|
|
def test_insert_much_jaccard(self, connect, jac_collection, insert_count): |
|
1351
|
|
|
''' |
|
1352
|
|
|
target: test add vectors with different length of vectors |
|
1353
|
|
|
method: set different vectors as add method params |
|
1354
|
|
|
expected: length of ids is equal to the length of vectors |
|
1355
|
|
|
''' |
|
1356
|
|
|
nb = insert_count |
|
1357
|
|
|
tmp, insert_vec_list = gen_binary_vectors(nb, dim) |
|
1358
|
|
|
status, ids = connect.insert(jac_collection, insert_vec_list) |
|
1359
|
|
|
assert len(ids) == nb |
|
1360
|
|
|
assert status.OK() |
|
1361
|
|
|
|
|
1362
|
|
|
def test_insert_much_hamming(self, connect, ham_collection, insert_count): |
|
1363
|
|
|
''' |
|
1364
|
|
|
target: test add vectors with different length of vectors |
|
1365
|
|
|
method: set different vectors as add method params |
|
1366
|
|
|
expected: length of ids is equal to the length of vectors |
|
1367
|
|
|
''' |
|
1368
|
|
|
nb = insert_count |
|
1369
|
|
|
tmp, insert_vec_list = gen_binary_vectors(nb, dim) |
|
1370
|
|
|
status, ids = connect.insert(ham_collection, insert_vec_list) |
|
1371
|
|
|
assert len(ids) == nb |
|
1372
|
|
|
assert status.OK() |
|
1373
|
|
|
|
|
1374
|
|
|
def test_insert_much_tanimoto(self, connect, tanimoto_collection, insert_count): |
|
1375
|
|
|
''' |
|
1376
|
|
|
target: test add vectors with different length of vectors |
|
1377
|
|
|
method: set different vectors as add method params |
|
1378
|
|
|
expected: length of ids is equal to the length of vectors |
|
1379
|
|
|
''' |
|
1380
|
|
|
nb = insert_count |
|
1381
|
|
|
tmp, insert_vec_list = gen_binary_vectors(nb, dim) |
|
1382
|
|
|
status, ids = connect.insert(tanimoto_collection, insert_vec_list) |
|
1383
|
|
|
assert len(ids) == nb |
|
1384
|
|
|
assert status.OK() |
|
1385
|
|
|
|
|
1386
|
|
|
|
|
1387
|
|
|
class TestNameInvalid(object): |
|
1388
|
|
|
""" |
|
1389
|
|
|
Test adding vectors with invalid collection names |
|
1390
|
|
|
""" |
|
1391
|
|
|
@pytest.fixture( |
|
1392
|
|
|
scope="function", |
|
1393
|
|
|
params=gen_invalid_collection_names() |
|
1394
|
|
|
) |
|
1395
|
|
|
def get_collection_name(self, request): |
|
1396
|
|
|
yield request.param |
|
1397
|
|
|
|
|
1398
|
|
|
@pytest.fixture( |
|
1399
|
|
|
scope="function", |
|
1400
|
|
|
params=gen_invalid_collection_names() |
|
1401
|
|
|
) |
|
1402
|
|
|
def get_tag_name(self, request): |
|
1403
|
|
|
yield request.param |
|
1404
|
|
|
|
|
1405
|
|
|
@pytest.mark.level(2) |
|
1406
|
|
|
def test_insert_with_invalid_collection_name(self, connect, get_collection_name): |
|
1407
|
|
|
collection_name = get_collection_name |
|
1408
|
|
|
vectors = gen_vectors(1, dim) |
|
1409
|
|
|
status, result = connect.insert(collection_name, vectors) |
|
1410
|
|
|
assert not status.OK() |
|
1411
|
|
|
|
|
1412
|
|
|
@pytest.mark.level(2) |
|
1413
|
|
|
def test_insert_with_invalid_tag_name(self, connect, get_collection_name, get_tag_name): |
|
1414
|
|
|
collection_name = get_collection_name |
|
1415
|
|
|
tag_name = get_tag_name |
|
1416
|
|
|
vectors = gen_vectors(1, dim) |
|
1417
|
|
|
status, result = connect.insert( |
|
1418
|
|
|
collection_name, vectors, partition_tag=tag_name) |
|
1419
|
|
|
assert not status.OK() |
|
1420
|
|
|
|
|
1421
|
|
|
|
|
1422
|
|
|
class TestAddCollectionVectorsInvalid(object): |
|
1423
|
|
|
single_vector = gen_single_vector(dim) |
|
1424
|
|
|
vectors = gen_vectors(2, dim) |
|
1425
|
|
|
|
|
1426
|
|
|
""" |
|
1427
|
|
|
Test adding vectors with invalid vectors |
|
1428
|
|
|
""" |
|
1429
|
|
|
@pytest.fixture( |
|
1430
|
|
|
scope="function", |
|
1431
|
|
|
params=gen_invalid_vectors() |
|
1432
|
|
|
) |
|
1433
|
|
|
def gen_vector(self, request): |
|
1434
|
|
|
yield request.param |
|
1435
|
|
|
|
|
1436
|
|
|
@pytest.mark.level(2) |
|
1437
|
|
|
def test_add_vector_with_invalid_vectors(self, connect, collection, gen_vector): |
|
1438
|
|
|
tmp_single_vector = copy.deepcopy(self.single_vector) |
|
1439
|
|
|
tmp_single_vector[0][1] = gen_vector |
|
1440
|
|
|
with pytest.raises(Exception) as e: |
|
1441
|
|
|
status, result = connect.insert(collection, tmp_single_vector) |
|
1442
|
|
|
|
|
1443
|
|
|
@pytest.mark.level(2) |
|
1444
|
|
|
def test_insert_with_invalid_vectors(self, connect, collection, gen_vector): |
|
1445
|
|
|
tmp_vectors = copy.deepcopy(self.vectors) |
|
1446
|
|
|
tmp_vectors[1][1] = gen_vector |
|
1447
|
|
|
with pytest.raises(Exception) as e: |
|
1448
|
|
|
status, result = connect.insert(collection, tmp_vectors) |
|
1449
|
|
|
|
|
1450
|
|
|
@pytest.mark.level(2) |
|
1451
|
|
|
def test_insert_with_invalid_vectors_jaccard(self, connect, jac_collection, gen_vector): |
|
1452
|
|
|
tmp_vectors = copy.deepcopy(self.vectors) |
|
1453
|
|
|
tmp_vectors[1][1] = gen_vector |
|
1454
|
|
|
with pytest.raises(Exception) as e: |
|
1455
|
|
|
status, result = connect.insert(jac_collection, tmp_vectors) |
|
1456
|
|
|
|
|
1457
|
|
|
@pytest.mark.level(2) |
|
1458
|
|
|
def test_insert_with_invalid_vectors_hamming(self, connect, ham_collection, gen_vector): |
|
1459
|
|
|
tmp_vectors = copy.deepcopy(self.vectors) |
|
1460
|
|
|
tmp_vectors[1][1] = gen_vector |
|
1461
|
|
|
with pytest.raises(Exception) as e: |
|
1462
|
|
|
status, result = connect.insert(ham_collection, tmp_vectors) |
|
1463
|
|
|
|
milvus-io /
milvus
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