milvus-io /
milvus
| Total Complexity | 134 |
| Total Lines | 1463 |
| Duplicated Lines | 30.62 % |
| Changes | 0 | ||
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like test_insert often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import time |
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| 2 | import pdb |
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| 3 | import threading |
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| 4 | import logging |
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| 5 | import threading |
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| 6 | from multiprocessing import Pool, Process |
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| 7 | import pytest |
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| 8 | from milvus import IndexType, MetricType |
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| 9 | from utils import * |
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| 10 | |||
| 11 | |||
| 12 | dim = 128 |
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| 13 | index_file_size = 10 |
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| 14 | collection_id = "test_add" |
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| 15 | ADD_TIMEOUT = 60 |
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| 16 | tag = "1970-01-01" |
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| 17 | add_interval_time = 5 |
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| 18 | nb = 6000 |
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| 19 | |||
| 20 | |||
| 21 | class TestAddBase: |
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| 22 | """ |
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| 23 | ****************************************************************** |
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| 24 | The following cases are used to test `insert` function |
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| 25 | ****************************************************************** |
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| 26 | """ |
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| 27 | View Code Duplication | @pytest.fixture( |
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Duplication
introduced
by
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| 28 | scope="function", |
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| 29 | params=gen_simple_index() |
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| 30 | ) |
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| 31 | def get_simple_index(self, request, connect): |
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| 32 | if str(connect._cmd("mode")[1]) == "CPU": |
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| 33 | if request.param["index_type"] == IndexType.IVF_SQ8H: |
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| 34 | pytest.skip("sq8h not support in cpu mode") |
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| 35 | if request.param["index_type"] == IndexType.IVF_PQ: |
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| 36 | pytest.skip("Skip PQ Temporary") |
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| 37 | return request.param |
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| 38 | |||
| 39 | def test_add_vector_create_collection(self, connect, collection): |
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| 40 | ''' |
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| 41 | target: test add vector, then create collection again |
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| 42 | method: add vector and create collection |
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| 43 | expected: status not ok |
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| 44 | ''' |
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| 45 | vector = gen_single_vector(dim) |
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| 46 | status, ids = connect.insert(collection, vector) |
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| 47 | param = {'collection_name': collection, |
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| 48 | 'dimension': dim, |
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| 49 | 'index_file_size': index_file_size, |
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| 50 | 'metric_type': MetricType.L2} |
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| 51 | status = connect.create_collection(param) |
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| 52 | assert not status.OK() |
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| 53 | |||
| 54 | def test_add_vector_has_collection(self, connect, collection): |
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| 55 | ''' |
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| 56 | target: test add vector, then check collection existence |
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| 57 | method: add vector and call Hascollection |
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| 58 | expected: collection exists, status ok |
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| 59 | ''' |
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| 60 | vector = gen_single_vector(dim) |
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| 61 | status, ids = connect.insert(collection, vector) |
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| 62 | assert assert_has_collection(connect, collection) |
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| 63 | |||
| 64 | def test_add_vector_with_empty_vector(self, connect, collection): |
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| 65 | ''' |
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| 66 | target: test add vectors with empty vectors list |
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| 67 | method: set empty vectors list as add method params |
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| 68 | expected: raises a Exception |
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| 69 | ''' |
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| 70 | vector = [] |
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| 71 | with pytest.raises(Exception) as e: |
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| 72 | status, ids = connect.insert(collection, vector) |
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| 73 | |||
| 74 | def test_add_vector_with_None(self, connect, collection): |
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| 75 | ''' |
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| 76 | target: test add vectors with None |
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| 77 | method: set None as add method params |
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| 78 | expected: raises a Exception |
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| 79 | ''' |
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| 80 | vector = None |
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| 81 | with pytest.raises(Exception) as e: |
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| 82 | status, ids = connect.insert(collection, vector) |
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| 83 | |||
| 84 | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 85 | def test_drop_collection_add_vector(self, connect, collection): |
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| 86 | ''' |
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| 87 | target: test add vector after collection deleted |
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| 88 | method: delete collection and add vector |
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| 89 | expected: status not ok |
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| 90 | ''' |
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| 91 | status = connect.drop_collection(collection) |
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| 92 | vector = gen_single_vector(dim) |
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| 93 | status, ids = connect.insert(collection, vector) |
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| 94 | assert not status.OK() |
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| 95 | |||
| 96 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 97 | def test_drop_collection_add_vector_another(self, connect, collection): |
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| 98 | ''' |
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| 99 | target: test add vector to collection_1 after collection_2 deleted |
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| 100 | method: delete collection_2 and add vector to collection_1 |
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| 101 | expected: status ok |
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| 102 | ''' |
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| 103 | param = {'collection_name': gen_unique_str(), |
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| 104 | 'dimension': dim, |
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| 105 | 'index_file_size': index_file_size, |
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| 106 | 'metric_type': MetricType.L2} |
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| 107 | status = connect.create_collection(param) |
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| 108 | status = connect.drop_collection(collection) |
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| 109 | vector = gen_single_vector(dim) |
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| 110 | status, ids = connect.insert(param['collection_name'], vector) |
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| 111 | assert status.OK() |
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| 112 | |||
| 113 | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 114 | def test_add_vector_drop_collection(self, connect, collection): |
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| 115 | ''' |
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| 116 | target: test delete collection after add vector |
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| 117 | method: add vector and delete collection |
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| 118 | expected: status ok |
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| 119 | ''' |
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| 120 | vector = gen_single_vector(dim) |
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| 121 | status, ids = connect.insert(collection, vector) |
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| 122 | status = connect.drop_collection(collection) |
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| 123 | assert status.OK() |
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| 124 | |||
| 125 | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 126 | def test_add_vector_delete_another_collection(self, connect, collection): |
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| 127 | ''' |
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| 128 | target: test delete collection_1 collection after add vector to collection_2 |
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| 129 | method: add vector and delete collection |
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| 130 | expected: status ok |
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| 131 | ''' |
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| 132 | param = {'collection_name': gen_unique_str(), |
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| 133 | 'dimension': dim, |
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| 134 | 'index_file_size': index_file_size, |
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| 135 | 'metric_type': MetricType.L2} |
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| 136 | status = connect.create_collection(param) |
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| 137 | vector = gen_single_vector(dim) |
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| 138 | status, ids = connect.insert(collection, vector) |
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| 139 | assert status.OK() |
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| 140 | |||
| 141 | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 142 | def test_add_vector_sleep_drop_collection(self, connect, collection): |
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| 143 | ''' |
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| 144 | target: test delete collection after add vector for a while |
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| 145 | method: add vector, sleep, and delete collection |
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| 146 | expected: status ok |
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| 147 | ''' |
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| 148 | vector = gen_single_vector(dim) |
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| 149 | status, ids = connect.insert(collection, vector) |
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| 150 | assert status.OK() |
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| 151 | connect.flush([collection]) |
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| 152 | status = connect.drop_collection(collection) |
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| 153 | assert status.OK() |
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| 154 | |||
| 155 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 156 | def test_add_vector_sleep_delete_another_collection(self, connect, collection): |
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| 157 | ''' |
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| 158 | target: test delete collection_1 collection after add vector to collection_2 for a while |
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| 159 | method: add vector , sleep, and delete collection |
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| 160 | expected: status ok |
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| 161 | ''' |
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| 162 | param = {'collection_name': gen_unique_str(), |
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| 163 | 'dimension': dim, |
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| 164 | 'index_file_size': index_file_size, |
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| 165 | 'metric_type': MetricType.L2} |
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| 166 | status = connect.create_collection(param) |
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| 167 | vector = gen_single_vector(dim) |
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| 168 | status, ids = connect.insert(collection, vector) |
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| 169 | connect.flush([collection]) |
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| 170 | status = connect.drop_collection(param['collection_name']) |
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| 171 | assert status.OK() |
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| 172 | |||
| 173 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 174 | def test_create_index_add_vector(self, connect, collection, get_simple_index): |
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| 175 | ''' |
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| 176 | target: test add vector after build index |
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| 177 | method: build index and add vector |
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| 178 | expected: status ok |
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| 179 | ''' |
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| 180 | index_param = get_simple_index["index_param"] |
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| 181 | index_type = get_simple_index["index_type"] |
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| 182 | status = connect.create_index(collection, index_type, index_param) |
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| 183 | vector = gen_single_vector(dim) |
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| 184 | status, ids = connect.insert(collection, vector) |
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| 185 | assert status.OK() |
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| 186 | |||
| 187 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 188 | def test_create_index_add_vector_another(self, connect, collection, get_simple_index): |
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| 189 | ''' |
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| 190 | target: test add vector to collection_2 after build index for collection_1 |
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| 191 | method: build index and add vector |
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| 192 | expected: status ok |
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| 193 | ''' |
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| 194 | index_param = get_simple_index["index_param"] |
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| 195 | index_type = get_simple_index["index_type"] |
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| 196 | param = {'collection_name': gen_unique_str(), |
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| 197 | 'dimension': dim, |
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| 198 | 'index_file_size': index_file_size, |
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| 199 | 'metric_type': MetricType.L2} |
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| 200 | status = connect.create_collection(param) |
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| 201 | status = connect.create_index(collection, index_type, index_param) |
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| 202 | vector = gen_single_vector(dim) |
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| 203 | status, ids = connect.insert(collection, vector) |
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| 204 | connect.drop_collection(param['collection_name']) |
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| 205 | assert status.OK() |
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| 206 | |||
| 207 | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 208 | def test_add_vector_create_index(self, connect, collection, get_simple_index): |
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| 209 | ''' |
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| 210 | target: test build index add after vector |
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| 211 | method: add vector and build index |
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| 212 | expected: status ok |
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| 213 | ''' |
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| 214 | index_param = get_simple_index["index_param"] |
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| 215 | index_type = get_simple_index["index_type"] |
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| 216 | logging.getLogger().info(index_param) |
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| 217 | vector = gen_single_vector(dim) |
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| 218 | status, ids = connect.insert(collection, vector) |
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| 219 | status = connect.create_index(collection, index_type, index_param) |
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| 220 | assert status.OK() |
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| 221 | |||
| 222 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 223 | def test_add_vector_create_index_another(self, connect, collection, get_simple_index): |
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| 224 | ''' |
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| 225 | target: test add vector to collection_2 after build index for collection_1 |
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| 226 | method: build index and add vector |
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| 227 | expected: status ok |
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| 228 | ''' |
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| 229 | index_param = get_simple_index["index_param"] |
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| 230 | index_type = get_simple_index["index_type"] |
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| 231 | param = {'collection_name': gen_unique_str(), |
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| 232 | 'dimension': dim, |
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| 233 | 'index_file_size': index_file_size, |
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| 234 | 'metric_type': MetricType.L2} |
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| 235 | status = connect.create_collection(param) |
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| 236 | vector = gen_single_vector(dim) |
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| 237 | status, ids = connect.insert(collection, vector) |
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| 238 | status = connect.create_index( |
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| 239 | param['collection_name'], index_type, index_param) |
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| 240 | assert status.OK() |
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| 241 | |||
| 242 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 243 | def test_add_vector_sleep_create_index(self, connect, collection, get_simple_index): |
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| 244 | ''' |
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| 245 | target: test build index add after vector for a while |
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| 246 | method: add vector and build index |
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| 247 | expected: status ok |
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| 248 | ''' |
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| 249 | index_param = get_simple_index["index_param"] |
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| 250 | index_type = get_simple_index["index_type"] |
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| 251 | vector = gen_single_vector(dim) |
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| 252 | status, ids = connect.insert(collection, vector) |
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| 253 | connect.flush([collection]) |
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| 254 | status = connect.create_index(collection, index_type, index_param) |
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| 255 | assert status.OK() |
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| 256 | |||
| 257 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 258 | def test_add_vector_sleep_create_index_another(self, connect, collection, get_simple_index): |
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| 259 | ''' |
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| 260 | target: test add vector to collection_2 after build index for collection_1 for a while |
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| 261 | method: build index and add vector |
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| 262 | expected: status ok |
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| 263 | ''' |
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| 264 | index_param = get_simple_index["index_param"] |
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| 265 | index_type = get_simple_index["index_type"] |
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| 266 | param = {'collection_name': gen_unique_str(), |
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| 267 | 'dimension': dim, |
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| 268 | 'index_file_size': index_file_size, |
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| 269 | 'metric_type': MetricType.L2} |
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| 270 | status = connect.create_collection(param) |
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| 271 | vector = gen_single_vector(dim) |
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| 272 | status, ids = connect.insert(collection, vector) |
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| 273 | connect.flush([collection]) |
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| 274 | status = connect.create_index( |
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| 275 | param['collection_name'], index_type, index_param) |
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| 276 | assert status.OK() |
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| 277 | |||
| 278 | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 279 | def test_search_vector_add_vector(self, connect, collection): |
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| 280 | ''' |
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| 281 | target: test add vector after search collection |
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| 282 | method: search collection and add vector |
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| 283 | expected: status ok |
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| 284 | ''' |
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| 285 | vector = gen_single_vector(dim) |
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| 286 | status, result = connect.search(collection, 1, vector) |
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| 287 | status, ids = connect.insert(collection, vector) |
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| 288 | assert status.OK() |
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| 289 | |||
| 290 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 291 | def test_search_vector_add_vector_another(self, connect, collection): |
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| 292 | ''' |
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| 293 | target: test add vector to collection_1 after search collection_2 |
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| 294 | method: search collection and add vector |
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| 295 | expected: status ok |
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| 296 | ''' |
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| 297 | param = {'collection_name': gen_unique_str(), |
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| 298 | 'dimension': dim, |
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| 299 | 'index_file_size': index_file_size, |
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| 300 | 'metric_type': MetricType.L2} |
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| 301 | status = connect.create_collection(param) |
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| 302 | vector = gen_single_vector(dim) |
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| 303 | status, result = connect.search(collection, 1, vector) |
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| 304 | status, ids = connect.insert(param['collection_name'], vector) |
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| 305 | assert status.OK() |
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| 306 | |||
| 307 | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 308 | def test_add_vector_search_vector(self, connect, collection): |
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| 309 | ''' |
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| 310 | target: test search vector after add vector |
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| 311 | method: add vector and search collection |
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| 312 | expected: status ok |
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| 313 | ''' |
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| 314 | vector = gen_single_vector(dim) |
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| 315 | status, ids = connect.insert(collection, vector) |
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| 316 | assert status.OK() |
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| 317 | connect.flush([collection]) |
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| 318 | status, result = connect.search(collection, 1, vector) |
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| 319 | assert status.OK() |
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| 320 | |||
| 321 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 322 | def test_add_vector_search_vector_another(self, connect, collection): |
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| 323 | ''' |
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| 324 | target: test add vector to collection_1 after search collection_2 |
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| 325 | method: search collection and add vector |
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| 326 | expected: status ok |
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| 327 | ''' |
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| 328 | param = {'collection_name': gen_unique_str(), |
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| 329 | 'dimension': dim, |
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| 330 | 'index_file_size': index_file_size, |
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| 331 | 'metric_type': MetricType.L2} |
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| 332 | status = connect.create_collection(param) |
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| 333 | vector = gen_single_vector(dim) |
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| 334 | status, ids = connect.insert(collection, vector) |
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| 335 | status, result = connect.search(param['collection_name'], 1, vector) |
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| 336 | assert status.OK() |
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| 337 | |||
| 338 | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 339 | def test_add_vector_sleep_search_vector(self, connect, collection): |
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| 340 | ''' |
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| 341 | target: test search vector after add vector after a while |
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| 342 | method: add vector, sleep, and search collection |
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| 343 | expected: status ok |
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| 344 | ''' |
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| 345 | vector = gen_single_vector(dim) |
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| 346 | status, ids = connect.insert(collection, vector) |
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| 347 | connect.flush([collection]) |
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| 348 | status, result = connect.search(collection, 1, vector) |
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| 349 | assert status.OK() |
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| 350 | |||
| 351 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 352 | def test_add_vector_sleep_search_vector_another(self, connect, collection): |
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| 353 | ''' |
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| 354 | target: test add vector to collection_1 after search collection_2 a while |
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| 355 | method: search collection , sleep, and add vector |
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| 356 | expected: status ok |
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| 357 | ''' |
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| 358 | param = {'collection_name': gen_unique_str(), |
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| 359 | 'dimension': dim, |
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| 360 | 'index_file_size': index_file_size, |
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| 361 | 'metric_type': MetricType.L2} |
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| 362 | status = connect.create_collection(param) |
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| 363 | vector = gen_single_vector(dim) |
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| 364 | status, ids = connect.insert(collection, vector) |
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| 365 | connect.flush([collection]) |
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| 366 | status, result = connect.search(param['collection_name'], 1, vector) |
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| 367 | assert status.OK() |
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| 368 | |||
| 369 | """ |
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| 370 | ****************************************************************** |
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| 371 | The following cases are used to test `insert` function |
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| 372 | ****************************************************************** |
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| 373 | """ |
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| 374 | |||
| 375 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 376 | def test_insert_ids(self, connect, collection): |
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| 377 | ''' |
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| 378 | target: test add vectors in collection, use customize ids |
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| 379 | method: create collection and add vectors in it, check the ids returned and the collection length after vectors added |
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| 380 | expected: the length of ids and the collection row count |
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| 381 | ''' |
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| 382 | nq = 5 |
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| 383 | top_k = 1 |
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| 384 | vectors = gen_vectors(nq, dim) |
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| 385 | ids = [i for i in range(nq)] |
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| 386 | status, ids = connect.insert(collection, vectors, ids) |
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| 387 | connect.flush([collection]) |
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| 388 | assert status.OK() |
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| 389 | assert len(ids) == nq |
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| 390 | status, result = connect.search( |
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| 391 | collection, top_k, query_records=vectors) |
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| 392 | logging.getLogger().info(result) |
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| 393 | assert len(result) == nq |
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| 394 | for i in range(nq): |
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| 395 | assert result[i][0].id == i |
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| 396 | |||
| 397 | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 398 | def test_insert_twice_ids_no_ids(self, connect, collection): |
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| 399 | ''' |
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| 400 | target: check the result of insert, with params ids and no ids |
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| 401 | method: test add vectors twice, use customize ids first, and then use no ids |
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| 402 | expected: status not OK |
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| 403 | ''' |
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| 404 | nq = 5 |
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| 405 | top_k = 1 |
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| 406 | vectors = gen_vectors(nq, dim) |
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| 407 | ids = [i for i in range(nq)] |
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| 408 | status, ids = connect.insert(collection, vectors, ids) |
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| 409 | assert status.OK() |
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| 410 | status, ids = connect.insert(collection, vectors) |
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| 411 | logging.getLogger().info(status) |
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| 412 | logging.getLogger().info(ids) |
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| 413 | assert not status.OK() |
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| 414 | |||
| 415 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 416 | def test_insert_twice_not_ids_ids(self, connect, collection): |
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| 417 | ''' |
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| 418 | target: check the result of insert, with params ids and no ids |
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| 419 | method: test add vectors twice, use not ids first, and then use customize ids |
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| 420 | expected: status not OK |
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| 421 | ''' |
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| 422 | nq = 5 |
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| 423 | top_k = 1 |
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| 424 | vectors = gen_vectors(nq, dim) |
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| 425 | ids = [i for i in range(nq)] |
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| 426 | status, ids = connect.insert(collection, vectors) |
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| 427 | assert status.OK() |
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| 428 | status, ids = connect.insert(collection, vectors, ids) |
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| 429 | logging.getLogger().info(status) |
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| 430 | logging.getLogger().info(ids) |
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| 431 | assert not status.OK() |
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| 432 | |||
| 433 | View Code Duplication | @pytest.mark.timeout(ADD_TIMEOUT) |
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| 434 | def test_insert_ids_length_not_match(self, connect, collection): |
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| 435 | ''' |
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| 436 | target: test add vectors in collection, use customize ids, len(ids) != len(vectors) |
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| 437 | method: create collection and add vectors in it |
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| 438 | expected: raise an exception |
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| 439 | ''' |
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| 440 | nq = 5 |
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| 441 | vectors = gen_vectors(nq, dim) |
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| 442 | ids = [i for i in range(1, nq)] |
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| 443 | with pytest.raises(Exception) as e: |
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| 444 | status, ids = connect.insert(collection, vectors, ids) |
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| 445 | |||
| 446 | @pytest.fixture( |
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| 447 | scope="function", |
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| 448 | params=gen_invalid_vector_ids() |
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| 449 | ) |
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| 450 | def get_vector_id(self, request): |
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| 451 | yield request.param |
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| 452 | |||
| 453 | @pytest.mark.level(2) |
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| 454 | def test_insert_ids_invalid(self, connect, collection, get_vector_id): |
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| 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 |
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