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import pdb |
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import pytest |
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import logging |
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import itertools |
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from time import sleep |
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from multiprocessing import Process |
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from milvus import IndexType, MetricType |
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from utils import * |
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10
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dim = 128 |
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drop_collection_interval_time = 3 |
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index_file_size = 10 |
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vectors = gen_vectors(100, dim) |
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class TestCollection: |
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""" |
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****************************************************************** |
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The following cases are used to test `create_collection` function |
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****************************************************************** |
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""" |
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def test_create_collection(self, connect): |
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''' |
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target: test create normal collection |
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method: create collection with corrent params |
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expected: create status return ok |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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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 status.OK() |
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def test_create_collection_ip(self, connect): |
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''' |
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target: test create normal collection |
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method: create collection with corrent params |
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expected: create status return ok |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.IP} |
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status = connect.create_collection(param) |
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assert status.OK() |
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def test_create_collection_jaccard(self, connect): |
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''' |
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54
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target: test create normal collection |
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method: create collection with corrent params |
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expected: create status return ok |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.JACCARD} |
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status = connect.create_collection(param) |
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assert status.OK() |
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def test_create_collection_hamming(self, connect): |
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''' |
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target: test create normal collection |
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method: create collection with corrent params |
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expected: create status return ok |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.HAMMING} |
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status = connect.create_collection(param) |
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assert status.OK() |
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def test_create_collection_substructure(self, connect): |
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''' |
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target: test create normal collection |
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method: create collection with corrent params |
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expected: create status return ok |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.SUBSTRUCTURE} |
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status = connect.create_collection(param) |
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assert status.OK() |
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def test_create_collection_superstructure(self, connect): |
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''' |
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target: test create normal collection |
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method: create collection with corrent params |
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expected: create status return ok |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.SUPERSTRUCTURE} |
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status = connect.create_collection(param) |
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assert status.OK() |
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def test_create_collection_auto_flush_disabled(self, connect): |
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''' |
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target: test create normal collection, with large auto_flush_interval |
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method: create collection with corrent params |
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expected: create status return ok |
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''' |
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disable_flush(connect) |
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collection_name = gen_unique_str("test_collection") |
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try: |
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param = {'collection_name': collection_name, |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.SUPERSTRUCTURE} |
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status = connect.create_collection(param) |
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assert status.OK() |
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status = connect.drop_collection(collection_name,) |
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assert status.OK() |
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time.sleep(2) |
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## recreate collection |
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status = connect.create_collection(param) |
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assert status.OK() |
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except Exception as e: |
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pass |
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finally: |
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enable_flush(connect) |
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@pytest.mark.level(2) |
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def test_create_collection_without_connection(self, dis_connect): |
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''' |
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target: test create collection, without connection |
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method: create collection with correct params, with a disconnected instance |
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expected: create raise exception |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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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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with pytest.raises(Exception) as e: |
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status = dis_connect.create_collection(param) |
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def test_create_collection_existed(self, connect): |
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''' |
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target: test create collection but the collection name have already existed |
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method: create collection with the same collection_name |
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expected: create status return not ok |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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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_collection(param) |
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assert not status.OK() |
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@pytest.mark.level(2) |
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def test_create_collection_existed_ip(self, connect): |
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''' |
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target: test create collection but the collection name have already existed |
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method: create collection with the same collection_name |
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expected: create status return not ok |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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'dimension': dim, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.IP} |
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status = connect.create_collection(param) |
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status = connect.create_collection(param) |
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assert not status.OK() |
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def test_create_collection_None(self, connect): |
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''' |
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target: test create collection but the collection name is None |
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method: create collection, param collection_name is None |
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expected: create raise error |
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''' |
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param = {'collection_name': None, |
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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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with pytest.raises(Exception) as e: |
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status = connect.create_collection(param) |
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def test_create_collection_no_dimension(self, connect): |
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''' |
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target: test create collection with no dimension params |
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method: create collection with corrent params |
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expected: create status return ok |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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'index_file_size': index_file_size, |
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'metric_type': MetricType.L2} |
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with pytest.raises(Exception) as e: |
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status = connect.create_collection(param) |
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def test_create_collection_no_file_size(self, connect): |
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''' |
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target: test create collection with no index_file_size params |
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method: create collection with corrent params |
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expected: create status return ok, use default 1024 |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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'dimension': dim, |
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'metric_type': MetricType.L2} |
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status = connect.create_collection(param) |
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logging.getLogger().info(status) |
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status, result = connect.get_collection_info(collection_name) |
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logging.getLogger().info(result) |
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assert result.index_file_size == 1024 |
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def test_create_collection_no_metric_type(self, connect): |
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''' |
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target: test create collection with no metric_type params |
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method: create collection with corrent params |
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expected: create status return ok, use default L2 |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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'dimension': dim, |
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'index_file_size': index_file_size} |
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status = connect.create_collection(param) |
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status, result = connect.get_collection_info(collection_name) |
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logging.getLogger().info(result) |
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assert result.metric_type == MetricType.L2 |
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""" |
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****************************************************************** |
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The following cases are used to test `get_collection_info` function |
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****************************************************************** |
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""" |
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243
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def test_collection_describe_result(self, connect): |
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''' |
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target: test describe collection created with correct params |
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method: create collection, assert the value returned by describe method |
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expected: collection_name equals with the collection name created |
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''' |
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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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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connect.create_collection(param) |
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status, res = connect.get_collection_info(collection_name) |
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assert res.collection_name == collection_name |
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assert res.metric_type == MetricType.L2 |
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@pytest.mark.level(2) |
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def test_collection_get_collection_info_name_ip(self, connect): |
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''' |
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262
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target: test describe collection created with correct params |
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method: create collection, assert the value returned by describe method |
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expected: collection_name equals with the collection name created |
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''' |
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266
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collection_name = gen_unique_str("test_collection") |
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param = {'collection_name': collection_name, |
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268
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'dimension': dim, |
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269
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'index_file_size': index_file_size, |
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270
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'metric_type': MetricType.IP} |
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271
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connect.create_collection(param) |
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status, res = connect.get_collection_info(collection_name) |
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assert res.collection_name == collection_name |
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274
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assert res.metric_type == MetricType.IP |
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275
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276
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@pytest.mark.level(2) |
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277
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def test_collection_get_collection_info_name_jaccard(self, connect): |
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278
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''' |
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279
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target: test describe collection created with correct params |
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280
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method: create collection, assert the value returned by describe method |
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281
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expected: collection_name equals with the collection name created |
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282
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''' |
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283
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collection_name = gen_unique_str("test_collection") |
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284
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param = {'collection_name': collection_name, |
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285
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'dimension': dim, |
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286
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'index_file_size': index_file_size, |
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287
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'metric_type': MetricType.JACCARD} |
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288
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connect.create_collection(param) |
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289
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status, res = connect.get_collection_info(collection_name) |
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290
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assert res.collection_name == collection_name |
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291
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assert res.metric_type == MetricType.JACCARD |
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292
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293
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@pytest.mark.level(2) |
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294
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def test_collection_get_collection_info_name_hamming(self, connect): |
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295
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''' |
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296
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target: test describe collection created with correct params |
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297
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method: create collection, assert the value returned by describe method |
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298
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expected: collection_name equals with the collection name created |
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299
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''' |
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300
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collection_name = gen_unique_str("test_collection") |
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301
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param = {'collection_name': collection_name, |
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302
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'dimension': dim, |
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303
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'index_file_size': index_file_size, |
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304
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'metric_type': MetricType.HAMMING} |
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305
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connect.create_collection(param) |
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306
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status, res = connect.get_collection_info(collection_name) |
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307
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assert res.collection_name == collection_name |
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308
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assert res.metric_type == MetricType.HAMMING |
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309
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310
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def test_collection_get_collection_info_name_substructure(self, connect): |
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311
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''' |
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312
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target: test describe collection created with correct params |
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313
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method: create collection, assert the value returned by describe method |
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314
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expected: collection_name equals with the collection name created |
|
315
|
|
|
''' |
|
316
|
|
|
collection_name = gen_unique_str("test_collection") |
|
317
|
|
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param = {'collection_name': collection_name, |
|
318
|
|
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'dimension': dim, |
|
319
|
|
|
'index_file_size': index_file_size, |
|
320
|
|
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'metric_type': MetricType.SUBSTRUCTURE} |
|
321
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|
|
connect.create_collection(param) |
|
322
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|
|
status, res = connect.get_collection_info(collection_name) |
|
323
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|
assert res.collection_name == collection_name |
|
324
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|
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assert res.metric_type == MetricType.SUBSTRUCTURE |
|
325
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|
|
326
|
|
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def test_collection_get_collection_info_name_superstructure(self, connect): |
|
327
|
|
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''' |
|
328
|
|
|
target: test describe collection created with correct params |
|
329
|
|
|
method: create collection, assert the value returned by describe method |
|
330
|
|
|
expected: collection_name equals with the collection name created |
|
331
|
|
|
''' |
|
332
|
|
|
collection_name = gen_unique_str("test_collection") |
|
333
|
|
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param = {'collection_name': collection_name, |
|
334
|
|
|
'dimension': dim, |
|
335
|
|
|
'index_file_size': index_file_size, |
|
336
|
|
|
'metric_type': MetricType.SUPERSTRUCTURE} |
|
337
|
|
|
connect.create_collection(param) |
|
338
|
|
|
status, res = connect.get_collection_info(collection_name) |
|
339
|
|
|
assert res.collection_name == collection_name |
|
340
|
|
|
assert res.metric_type == MetricType.SUPERSTRUCTURE |
|
341
|
|
|
|
|
342
|
|
|
# TODO: enable |
|
343
|
|
View Code Duplication |
@pytest.mark.level(2) |
|
|
|
|
|
|
344
|
|
|
def _test_collection_get_collection_info_name_multiprocessing(self, connect, args): |
|
345
|
|
|
''' |
|
346
|
|
|
target: test describe collection created with multiprocess |
|
347
|
|
|
method: create collection, assert the value returned by describe method |
|
348
|
|
|
expected: collection_name equals with the collection name created |
|
349
|
|
|
''' |
|
350
|
|
|
collection_name = gen_unique_str("test_collection") |
|
351
|
|
|
param = {'collection_name': collection_name, |
|
352
|
|
|
'dimension': dim, |
|
353
|
|
|
'index_file_size': index_file_size, |
|
354
|
|
|
'metric_type': MetricType.L2} |
|
355
|
|
|
connect.create_collection(param) |
|
356
|
|
|
|
|
357
|
|
|
def describecollection(milvus): |
|
358
|
|
|
status, res = milvus.get_collection_info(collection_name) |
|
359
|
|
|
assert res.collection_name == collection_name |
|
360
|
|
|
|
|
361
|
|
|
process_num = 4 |
|
362
|
|
|
processes = [] |
|
363
|
|
|
for i in range(process_num): |
|
364
|
|
|
milvus = get_milvus(args["ip"], args["port"], handler=args["handler"]) |
|
365
|
|
|
p = Process(target=describecollection, args=(milvus,)) |
|
366
|
|
|
processes.append(p) |
|
367
|
|
|
p.start() |
|
368
|
|
|
for p in processes: |
|
369
|
|
|
p.join() |
|
370
|
|
|
|
|
371
|
|
|
# @pytest.mark.level(2) |
|
372
|
|
|
# def test_collection_describe_without_connection(self, collection, dis_connect): |
|
373
|
|
|
# ''' |
|
374
|
|
|
# target: test describe collection, without connection |
|
375
|
|
|
# method: describe collection with correct params, with a disconnected instance |
|
376
|
|
|
# expected: describe raise exception |
|
377
|
|
|
# ''' |
|
378
|
|
|
# with pytest.raises(Exception) as e: |
|
379
|
|
|
# status = dis_connect.get_collection_info(collection) |
|
380
|
|
|
|
|
381
|
|
|
def test_collection_describe_dimension(self, connect): |
|
382
|
|
|
''' |
|
383
|
|
|
target: test describe collection created with correct params |
|
384
|
|
|
method: create collection, assert the dimention value returned by describe method |
|
385
|
|
|
expected: dimention equals with dimention when created |
|
386
|
|
|
''' |
|
387
|
|
|
collection_name = gen_unique_str("test_collection") |
|
388
|
|
|
param = {'collection_name': collection_name, |
|
389
|
|
|
'dimension': dim+1, |
|
390
|
|
|
'index_file_size': index_file_size, |
|
391
|
|
|
'metric_type': MetricType.L2} |
|
392
|
|
|
connect.create_collection(param) |
|
393
|
|
|
status, res = connect.get_collection_info(collection_name) |
|
394
|
|
|
assert res.dimension == dim+1 |
|
395
|
|
|
|
|
396
|
|
|
""" |
|
397
|
|
|
****************************************************************** |
|
398
|
|
|
The following cases are used to test `drop_collection` function |
|
399
|
|
|
****************************************************************** |
|
400
|
|
|
""" |
|
401
|
|
|
|
|
402
|
|
|
def test_drop_collection(self, connect, collection): |
|
403
|
|
|
''' |
|
404
|
|
|
target: test delete collection created with correct params |
|
405
|
|
|
method: create collection and then delete, |
|
406
|
|
|
assert the value returned by delete method |
|
407
|
|
|
expected: status ok, and no collection in collections |
|
408
|
|
|
''' |
|
409
|
|
|
status = connect.drop_collection(collection) |
|
410
|
|
|
assert not assert_has_collection(connect, collection) |
|
411
|
|
|
|
|
412
|
|
|
@pytest.mark.level(2) |
|
413
|
|
|
def test_drop_collection_ip(self, connect, ip_collection): |
|
414
|
|
|
''' |
|
415
|
|
|
target: test delete collection created with correct params |
|
416
|
|
|
method: create collection and then delete, |
|
417
|
|
|
assert the value returned by delete method |
|
418
|
|
|
expected: status ok, and no collection in collections |
|
419
|
|
|
''' |
|
420
|
|
|
status = connect.drop_collection(ip_collection) |
|
421
|
|
|
assert not assert_has_collection(connect, ip_collection) |
|
422
|
|
|
|
|
423
|
|
|
@pytest.mark.level(2) |
|
424
|
|
|
def test_drop_collection_jaccard(self, connect, jac_collection): |
|
425
|
|
|
''' |
|
426
|
|
|
target: test delete collection created with correct params |
|
427
|
|
|
method: create collection and then delete, |
|
428
|
|
|
assert the value returned by delete method |
|
429
|
|
|
expected: status ok, and no collection in collections |
|
430
|
|
|
''' |
|
431
|
|
|
status = connect.drop_collection(jac_collection) |
|
432
|
|
|
assert not assert_has_collection(connect, jac_collection) |
|
433
|
|
|
|
|
434
|
|
|
@pytest.mark.level(2) |
|
435
|
|
|
def test_drop_collection_hamming(self, connect, ham_collection): |
|
436
|
|
|
''' |
|
437
|
|
|
target: test delete collection created with correct params |
|
438
|
|
|
method: create collection and then delete, |
|
439
|
|
|
assert the value returned by delete method |
|
440
|
|
|
expected: status ok, and no collection in collections |
|
441
|
|
|
''' |
|
442
|
|
|
status = connect.drop_collection(ham_collection) |
|
443
|
|
|
assert not assert_has_collection(connect, ham_collection) |
|
444
|
|
|
|
|
445
|
|
|
# @pytest.mark.level(2) |
|
446
|
|
|
# def test_collection_delete_without_connection(self, collection, dis_connect): |
|
447
|
|
|
# ''' |
|
448
|
|
|
# target: test describe collection, without connection |
|
449
|
|
|
# method: describe collection with correct params, with a disconnected instance |
|
450
|
|
|
# expected: describe raise exception |
|
451
|
|
|
# ''' |
|
452
|
|
|
# with pytest.raises(Exception) as e: |
|
453
|
|
|
# status = dis_connect.drop_collection(collection) |
|
454
|
|
|
|
|
455
|
|
|
def test_drop_collection_not_existed(self, connect): |
|
456
|
|
|
''' |
|
457
|
|
|
target: test delete collection not in index |
|
458
|
|
|
method: delete all collections, and delete collection again, |
|
459
|
|
|
assert the value returned by delete method |
|
460
|
|
|
expected: status not ok |
|
461
|
|
|
''' |
|
462
|
|
|
collection_name = gen_unique_str("test_collection") |
|
463
|
|
|
status = connect.drop_collection(collection_name) |
|
464
|
|
|
assert not status.OK() |
|
465
|
|
|
|
|
466
|
|
|
def test_delete_create_collection_repeatedly(self, connect): |
|
467
|
|
|
''' |
|
468
|
|
|
target: test delete and create the same collection repeatedly |
|
469
|
|
|
method: try to create the same collection and delete repeatedly, |
|
470
|
|
|
assert the value returned by delete method |
|
471
|
|
|
expected: create ok and delete ok |
|
472
|
|
|
''' |
|
473
|
|
|
loops = 2 |
|
474
|
|
|
timeout = 5 |
|
475
|
|
|
for i in range(loops): |
|
476
|
|
|
collection_name = "test_collection" |
|
477
|
|
|
param = {'collection_name': collection_name, |
|
478
|
|
|
'dimension': dim, |
|
479
|
|
|
'index_file_size': index_file_size, |
|
480
|
|
|
'metric_type': MetricType.L2} |
|
481
|
|
|
connect.create_collection(param) |
|
482
|
|
|
status = None |
|
483
|
|
|
while i < timeout: |
|
484
|
|
|
status = connect.drop_collection(collection_name) |
|
485
|
|
|
time.sleep(1) |
|
486
|
|
|
i += 1 |
|
487
|
|
|
if status.OK(): |
|
488
|
|
|
break |
|
489
|
|
|
if i > timeout: |
|
490
|
|
|
assert False |
|
491
|
|
|
|
|
492
|
|
|
# TODO: enable |
|
493
|
|
|
@pytest.mark.level(2) |
|
494
|
|
|
def _test_drop_collection_multiprocessing(self, args): |
|
495
|
|
|
''' |
|
496
|
|
|
target: test delete collection with multiprocess |
|
497
|
|
|
method: create collection and then delete, |
|
498
|
|
|
assert the value returned by delete method |
|
499
|
|
|
expected: status ok, and no collection in collections |
|
500
|
|
|
''' |
|
501
|
|
|
process_num = 6 |
|
502
|
|
|
processes = [] |
|
503
|
|
|
def deletecollection(milvus): |
|
504
|
|
|
status = milvus.drop_collection(collection) |
|
|
|
|
|
|
505
|
|
|
# assert not status.code==0 |
|
506
|
|
|
assert assert_has_collection(milvus, collection) |
|
507
|
|
|
assert status.OK() |
|
508
|
|
|
|
|
509
|
|
|
for i in range(process_num): |
|
510
|
|
|
milvus = get_milvus(args["ip"], args["port"], handler=args["handler"]) |
|
511
|
|
|
p = Process(target=deletecollection, args=(milvus,)) |
|
512
|
|
|
processes.append(p) |
|
513
|
|
|
p.start() |
|
514
|
|
|
for p in processes: |
|
515
|
|
|
p.join() |
|
516
|
|
|
|
|
517
|
|
|
# TODO: enable |
|
518
|
|
|
@pytest.mark.level(2) |
|
519
|
|
|
def _test_drop_collection_multiprocessing_multicollection(self, connect): |
|
520
|
|
|
''' |
|
521
|
|
|
target: test delete collection with multiprocess |
|
522
|
|
|
method: create collection and then delete, |
|
523
|
|
|
assert the value returned by delete method |
|
524
|
|
|
expected: status ok, and no collection in collections |
|
525
|
|
|
''' |
|
526
|
|
|
process_num = 5 |
|
527
|
|
|
loop_num = 2 |
|
528
|
|
|
processes = [] |
|
529
|
|
|
|
|
530
|
|
|
collection = [] |
|
531
|
|
|
j = 0 |
|
532
|
|
|
while j < (process_num*loop_num): |
|
533
|
|
|
collection_name = gen_unique_str("test_drop_collection_with_multiprocessing") |
|
534
|
|
|
collection.append(collection_name) |
|
535
|
|
|
param = {'collection_name': collection_name, |
|
536
|
|
|
'dimension': dim, |
|
537
|
|
|
'index_file_size': index_file_size, |
|
538
|
|
|
'metric_type': MetricType.L2} |
|
539
|
|
|
connect.create_collection(param) |
|
540
|
|
|
j = j + 1 |
|
541
|
|
|
|
|
542
|
|
|
def delete(connect,ids): |
|
543
|
|
|
i = 0 |
|
544
|
|
|
while i < loop_num: |
|
545
|
|
|
status = connect.drop_collection(collection[ids*process_num+i]) |
|
546
|
|
|
time.sleep(2) |
|
547
|
|
|
assert status.OK() |
|
548
|
|
|
assert not assert_has_collection(connect, collection[ids*process_num+i]) |
|
549
|
|
|
i = i + 1 |
|
550
|
|
|
|
|
551
|
|
|
for i in range(process_num): |
|
552
|
|
|
ids = i |
|
553
|
|
|
p = Process(target=delete, args=(connect,ids)) |
|
554
|
|
|
processes.append(p) |
|
555
|
|
|
p.start() |
|
556
|
|
|
for p in processes: |
|
557
|
|
|
p.join() |
|
558
|
|
|
|
|
559
|
|
|
""" |
|
560
|
|
|
****************************************************************** |
|
561
|
|
|
The following cases are used to test `has_collection` function |
|
562
|
|
|
****************************************************************** |
|
563
|
|
|
""" |
|
564
|
|
|
|
|
565
|
|
|
def test_has_collection(self, connect): |
|
566
|
|
|
''' |
|
567
|
|
|
target: test if the created collection existed |
|
568
|
|
|
method: create collection, assert the value returned by has_collection method |
|
569
|
|
|
expected: True |
|
570
|
|
|
''' |
|
571
|
|
|
collection_name = gen_unique_str("test_collection") |
|
572
|
|
|
param = {'collection_name': collection_name, |
|
573
|
|
|
'dimension': dim, |
|
574
|
|
|
'index_file_size': index_file_size, |
|
575
|
|
|
'metric_type': MetricType.L2} |
|
576
|
|
|
connect.create_collection(param) |
|
577
|
|
|
assert assert_has_collection(connect, collection_name) |
|
578
|
|
|
|
|
579
|
|
|
def test_has_collection_ip(self, connect): |
|
580
|
|
|
''' |
|
581
|
|
|
target: test if the created collection existed |
|
582
|
|
|
method: create collection, assert the value returned by has_collection method |
|
583
|
|
|
expected: True |
|
584
|
|
|
''' |
|
585
|
|
|
collection_name = gen_unique_str("test_collection") |
|
586
|
|
|
param = {'collection_name': collection_name, |
|
587
|
|
|
'dimension': dim, |
|
588
|
|
|
'index_file_size': index_file_size, |
|
589
|
|
|
'metric_type': MetricType.IP} |
|
590
|
|
|
connect.create_collection(param) |
|
591
|
|
|
assert assert_has_collection(connect, collection_name) |
|
592
|
|
|
|
|
593
|
|
|
def test_has_collection_jaccard(self, connect): |
|
594
|
|
|
''' |
|
595
|
|
|
target: test if the created collection existed |
|
596
|
|
|
method: create collection, assert the value returned by has_collection method |
|
597
|
|
|
expected: True |
|
598
|
|
|
''' |
|
599
|
|
|
collection_name = gen_unique_str("test_collection") |
|
600
|
|
|
param = {'collection_name': collection_name, |
|
601
|
|
|
'dimension': dim, |
|
602
|
|
|
'index_file_size': index_file_size, |
|
603
|
|
|
'metric_type': MetricType.JACCARD} |
|
604
|
|
|
connect.create_collection(param) |
|
605
|
|
|
assert assert_has_collection(connect, collection_name) |
|
606
|
|
|
|
|
607
|
|
|
def test_has_collection_hamming(self, connect): |
|
608
|
|
|
''' |
|
609
|
|
|
target: test if the created collection existed |
|
610
|
|
|
method: create collection, assert the value returned by has_collection method |
|
611
|
|
|
expected: True |
|
612
|
|
|
''' |
|
613
|
|
|
collection_name = gen_unique_str("test_collection") |
|
614
|
|
|
param = {'collection_name': collection_name, |
|
615
|
|
|
'dimension': dim, |
|
616
|
|
|
'index_file_size': index_file_size, |
|
617
|
|
|
'metric_type': MetricType.HAMMING} |
|
618
|
|
|
connect.create_collection(param) |
|
619
|
|
|
assert assert_has_collection(connect, collection_name) |
|
620
|
|
|
|
|
621
|
|
|
# @pytest.mark.level(2) |
|
622
|
|
|
# def test_has_collection_without_connection(self, collection, dis_connect): |
|
623
|
|
|
# ''' |
|
624
|
|
|
# target: test has collection, without connection |
|
625
|
|
|
# method: calling has collection with correct params, with a disconnected instance |
|
626
|
|
|
# expected: has collection raise exception |
|
627
|
|
|
# ''' |
|
628
|
|
|
# with pytest.raises(Exception) as e: |
|
629
|
|
|
# assert_has_collection(dis_connect, collection) |
|
630
|
|
|
|
|
631
|
|
|
def test_has_collection_not_existed(self, connect): |
|
632
|
|
|
''' |
|
633
|
|
|
target: test if collection not created |
|
634
|
|
|
method: random a collection name, which not existed in db, |
|
635
|
|
|
assert the value returned by has_collection method |
|
636
|
|
|
expected: False |
|
637
|
|
|
''' |
|
638
|
|
|
collection_name = gen_unique_str("test_collection") |
|
639
|
|
|
assert not assert_has_collection(connect, collection_name) |
|
640
|
|
|
|
|
641
|
|
|
""" |
|
642
|
|
|
****************************************************************** |
|
643
|
|
|
The following cases are used to test `list_collections` function |
|
644
|
|
|
****************************************************************** |
|
645
|
|
|
""" |
|
646
|
|
|
|
|
647
|
|
|
def test_list_collections(self, connect): |
|
648
|
|
|
''' |
|
649
|
|
|
target: test show collections is correct or not, if collection created |
|
650
|
|
|
method: create collection, assert the value returned by list_collections method is equal to 0 |
|
651
|
|
|
expected: collection_name in show collections |
|
652
|
|
|
''' |
|
653
|
|
|
collection_name = gen_unique_str("test_collection") |
|
654
|
|
|
param = {'collection_name': collection_name, |
|
655
|
|
|
'dimension': dim, |
|
656
|
|
|
'index_file_size': index_file_size, |
|
657
|
|
|
'metric_type': MetricType.L2} |
|
658
|
|
|
connect.create_collection(param) |
|
659
|
|
|
status, result = connect.list_collections() |
|
660
|
|
|
assert status.OK() |
|
661
|
|
|
assert collection_name in result |
|
662
|
|
|
|
|
663
|
|
|
def test_list_collections_ip(self, connect): |
|
664
|
|
|
''' |
|
665
|
|
|
target: test show collections is correct or not, if collection created |
|
666
|
|
|
method: create collection, assert the value returned by list_collections method is equal to 0 |
|
667
|
|
|
expected: collection_name in show collections |
|
668
|
|
|
''' |
|
669
|
|
|
collection_name = gen_unique_str("test_collection") |
|
670
|
|
|
param = {'collection_name': collection_name, |
|
671
|
|
|
'dimension': dim, |
|
672
|
|
|
'index_file_size': index_file_size, |
|
673
|
|
|
'metric_type': MetricType.IP} |
|
674
|
|
|
connect.create_collection(param) |
|
675
|
|
|
status, result = connect.list_collections() |
|
676
|
|
|
assert status.OK() |
|
677
|
|
|
assert collection_name in result |
|
678
|
|
|
|
|
679
|
|
|
def test_list_collections_jaccard(self, connect): |
|
680
|
|
|
''' |
|
681
|
|
|
target: test show collections is correct or not, if collection created |
|
682
|
|
|
method: create collection, assert the value returned by list_collections method is equal to 0 |
|
683
|
|
|
expected: collection_name in show collections |
|
684
|
|
|
''' |
|
685
|
|
|
collection_name = gen_unique_str("test_collection") |
|
686
|
|
|
param = {'collection_name': collection_name, |
|
687
|
|
|
'dimension': dim, |
|
688
|
|
|
'index_file_size': index_file_size, |
|
689
|
|
|
'metric_type': MetricType.JACCARD} |
|
690
|
|
|
connect.create_collection(param) |
|
691
|
|
|
status, result = connect.list_collections() |
|
692
|
|
|
assert status.OK() |
|
693
|
|
|
assert collection_name in result |
|
694
|
|
|
|
|
695
|
|
|
def test_list_collections_hamming(self, connect): |
|
696
|
|
|
''' |
|
697
|
|
|
target: test show collections is correct or not, if collection created |
|
698
|
|
|
method: create collection, assert the value returned by list_collections method is equal to 0 |
|
699
|
|
|
expected: collection_name in show collections |
|
700
|
|
|
''' |
|
701
|
|
|
collection_name = gen_unique_str("test_collection") |
|
702
|
|
|
param = {'collection_name': collection_name, |
|
703
|
|
|
'dimension': dim, |
|
704
|
|
|
'index_file_size': index_file_size, |
|
705
|
|
|
'metric_type': MetricType.HAMMING} |
|
706
|
|
|
connect.create_collection(param) |
|
707
|
|
|
status, result = connect.list_collections() |
|
708
|
|
|
assert status.OK() |
|
709
|
|
|
assert collection_name in result |
|
710
|
|
|
|
|
711
|
|
|
def test_list_collections_substructure(self, connect): |
|
712
|
|
|
''' |
|
713
|
|
|
target: test show collections is correct or not, if collection created |
|
714
|
|
|
method: create collection, assert the value returned by list_collections method is equal to 0 |
|
715
|
|
|
expected: collection_name in show collections |
|
716
|
|
|
''' |
|
717
|
|
|
collection_name = gen_unique_str("test_collection") |
|
718
|
|
|
param = {'collection_name': collection_name, |
|
719
|
|
|
'dimension': dim, |
|
720
|
|
|
'index_file_size': index_file_size, |
|
721
|
|
|
'metric_type': MetricType.SUBSTRUCTURE} |
|
722
|
|
|
connect.create_collection(param) |
|
723
|
|
|
status, result = connect.list_collections() |
|
724
|
|
|
assert status.OK() |
|
725
|
|
|
assert collection_name in result |
|
726
|
|
|
|
|
727
|
|
|
def test_list_collections_superstructure(self, connect): |
|
728
|
|
|
''' |
|
729
|
|
|
target: test show collections is correct or not, if collection created |
|
730
|
|
|
method: create collection, assert the value returned by list_collections method is equal to 0 |
|
731
|
|
|
expected: collection_name in show collections |
|
732
|
|
|
''' |
|
733
|
|
|
collection_name = gen_unique_str("test_collection") |
|
734
|
|
|
param = {'collection_name': collection_name, |
|
735
|
|
|
'dimension': dim, |
|
736
|
|
|
'index_file_size': index_file_size, |
|
737
|
|
|
'metric_type': MetricType.SUPERSTRUCTURE} |
|
738
|
|
|
connect.create_collection(param) |
|
739
|
|
|
status, result = connect.list_collections() |
|
740
|
|
|
assert status.OK() |
|
741
|
|
|
assert collection_name in result |
|
742
|
|
|
|
|
743
|
|
|
# @pytest.mark.level(2) |
|
744
|
|
|
# def test_list_collections_without_connection(self, dis_connect): |
|
745
|
|
|
# ''' |
|
746
|
|
|
# target: test list_collections, without connection |
|
747
|
|
|
# method: calling list_collections with correct params, with a disconnected instance |
|
748
|
|
|
# expected: list_collections raise exception |
|
749
|
|
|
# ''' |
|
750
|
|
|
# with pytest.raises(Exception) as e: |
|
751
|
|
|
# status = dis_connect.list_collections() |
|
752
|
|
|
|
|
753
|
|
|
@pytest.mark.level(2) |
|
754
|
|
|
def test_list_collections_no_collection(self, connect): |
|
755
|
|
|
''' |
|
756
|
|
|
target: test show collections is correct or not, if no collection in db |
|
757
|
|
|
method: delete all collections, |
|
758
|
|
|
assert the value returned by list_collections method is equal to [] |
|
759
|
|
|
expected: the status is ok, and the result is equal to [] |
|
760
|
|
|
''' |
|
761
|
|
|
status, result = connect.list_collections() |
|
762
|
|
|
if result: |
|
763
|
|
|
for collection_name in result: |
|
764
|
|
|
connect.drop_collection(collection_name) |
|
765
|
|
|
time.sleep(drop_collection_interval_time) |
|
766
|
|
|
status, result = connect.list_collections() |
|
767
|
|
|
assert status.OK() |
|
768
|
|
|
assert len(result) == 0 |
|
769
|
|
|
|
|
770
|
|
|
# TODO: enable |
|
771
|
|
View Code Duplication |
@pytest.mark.level(2) |
|
|
|
|
|
|
772
|
|
|
def _test_list_collections_multiprocessing(self, connect, args): |
|
773
|
|
|
''' |
|
774
|
|
|
target: test show collections is correct or not with processes |
|
775
|
|
|
method: create collection, assert the value returned by list_collections method is equal to 0 |
|
776
|
|
|
expected: collection_name in show collections |
|
777
|
|
|
''' |
|
778
|
|
|
collection_name = gen_unique_str("test_collection") |
|
779
|
|
|
param = {'collection_name': collection_name, |
|
780
|
|
|
'dimension': dim, |
|
781
|
|
|
'index_file_size': index_file_size, |
|
782
|
|
|
'metric_type': MetricType.L2} |
|
783
|
|
|
connect.create_collection(param) |
|
784
|
|
|
def showcollections(milvus): |
|
785
|
|
|
status, result = milvus.list_collections() |
|
786
|
|
|
assert status.OK() |
|
787
|
|
|
assert collection_name in result |
|
788
|
|
|
|
|
789
|
|
|
process_num = 8 |
|
790
|
|
|
processes = [] |
|
791
|
|
|
|
|
792
|
|
|
for i in range(process_num): |
|
793
|
|
|
milvus = get_milvus(args["ip"], args["port"], handler=args["handler"]) |
|
794
|
|
|
p = Process(target=showcollections, args=(milvus,)) |
|
795
|
|
|
processes.append(p) |
|
796
|
|
|
p.start() |
|
797
|
|
|
for p in processes: |
|
798
|
|
|
p.join() |
|
799
|
|
|
|
|
800
|
|
|
""" |
|
801
|
|
|
****************************************************************** |
|
802
|
|
|
The following cases are used to test `load_collection` function |
|
803
|
|
|
****************************************************************** |
|
804
|
|
|
""" |
|
805
|
|
|
|
|
806
|
|
|
""" |
|
807
|
|
|
generate valid create_index params |
|
808
|
|
|
""" |
|
809
|
|
View Code Duplication |
@pytest.fixture( |
|
|
|
|
|
|
810
|
|
|
scope="function", |
|
811
|
|
|
params=gen_simple_index() |
|
812
|
|
|
) |
|
813
|
|
|
def get_simple_index(self, request, connect): |
|
814
|
|
|
if str(connect._cmd("mode")[1]) == "CPU": |
|
815
|
|
|
if request.param["index_type"] == IndexType.IVF_SQ8H: |
|
816
|
|
|
pytest.skip("sq8h not support in cpu mode") |
|
817
|
|
|
if request.param["index_type"] == IndexType.IVF_PQ: |
|
818
|
|
|
pytest.skip("Skip PQ Temporary") |
|
819
|
|
|
return request.param |
|
820
|
|
|
|
|
821
|
|
|
@pytest.mark.level(1) |
|
822
|
|
|
def test_load_collection(self, connect, collection, get_simple_index): |
|
823
|
|
|
index_param = get_simple_index["index_param"] |
|
824
|
|
|
index_type = get_simple_index["index_type"] |
|
825
|
|
|
status, ids = connect.insert(collection, vectors) |
|
826
|
|
|
status = connect.create_index(collection, index_type, index_param) |
|
827
|
|
|
status = connect.load_collection(collection) |
|
828
|
|
|
assert status.OK() |
|
829
|
|
|
|
|
830
|
|
|
@pytest.mark.level(1) |
|
831
|
|
|
def test_load_collection_ip(self, connect, ip_collection, get_simple_index): |
|
832
|
|
|
index_param = get_simple_index["index_param"] |
|
833
|
|
|
index_type = get_simple_index["index_type"] |
|
834
|
|
|
status, ids = connect.insert(ip_collection, vectors) |
|
835
|
|
|
status = connect.create_index(ip_collection, index_type, index_param) |
|
836
|
|
|
status = connect.load_collection(ip_collection) |
|
837
|
|
|
assert status.OK() |
|
838
|
|
|
|
|
839
|
|
|
@pytest.mark.level(1) |
|
840
|
|
|
def test_load_collection_jaccard(self, connect, jac_collection, get_simple_index): |
|
841
|
|
|
index_param = get_simple_index["index_param"] |
|
842
|
|
|
index_type = get_simple_index["index_type"] |
|
843
|
|
|
status, ids = connect.insert(jac_collection, vectors) |
|
844
|
|
|
status = connect.create_index(jac_collection, index_type, index_param) |
|
845
|
|
|
status = connect.load_collection(jac_collection) |
|
846
|
|
|
assert status.OK() |
|
847
|
|
|
|
|
848
|
|
|
@pytest.mark.level(1) |
|
849
|
|
|
def test_load_collection_hamming(self, connect, ham_collection, get_simple_index): |
|
850
|
|
|
index_param = get_simple_index["index_param"] |
|
851
|
|
|
index_type = get_simple_index["index_type"] |
|
852
|
|
|
status, ids = connect.insert(ham_collection, vectors) |
|
853
|
|
|
status = connect.create_index(ham_collection, index_type, index_param) |
|
854
|
|
|
status = connect.load_collection(ham_collection) |
|
855
|
|
|
assert status.OK() |
|
856
|
|
|
|
|
857
|
|
|
@pytest.mark.level(2) |
|
858
|
|
|
def test_load_collection_not_existed(self, connect, collection, get_simple_index): |
|
859
|
|
|
index_param = get_simple_index["index_param"] |
|
860
|
|
|
index_type = get_simple_index["index_type"] |
|
861
|
|
|
collection_name = gen_unique_str() |
|
862
|
|
|
status, ids = connect.insert(collection, vectors) |
|
863
|
|
|
status = connect.create_index(collection, index_type, index_param) |
|
864
|
|
|
status = connect.load_collection(collection_name) |
|
865
|
|
|
assert not status.OK() |
|
866
|
|
|
|
|
867
|
|
|
@pytest.mark.level(1) |
|
868
|
|
|
def test_load_collection_partition(self, connect, collection): |
|
869
|
|
|
partition_name = gen_unique_str() |
|
870
|
|
|
status, ids = connect.insert(collection, vectors) |
|
871
|
|
|
assert status.OK() |
|
872
|
|
|
status = connect.create_partition(collection, partition_name) |
|
873
|
|
|
status = connect.load_collection(collection, partition_tags=[partition_name]) |
|
874
|
|
|
assert status.OK() |
|
875
|
|
|
|
|
876
|
|
|
@pytest.mark.level(1) |
|
877
|
|
|
def test_load_collection_partitions(self, connect, collection): |
|
878
|
|
|
partition_names = [] |
|
879
|
|
|
for i in range(2): |
|
880
|
|
|
name = gen_unique_str() |
|
881
|
|
|
partition_names.append(name) |
|
882
|
|
|
status = connect.create_partition(collection, name) |
|
883
|
|
|
assert status.OK() |
|
884
|
|
|
status, ids = connect.insert(collection, vectors) |
|
885
|
|
|
status = connect.load_collection(collection, partition_tags=partition_names) |
|
886
|
|
|
assert status.OK() |
|
887
|
|
|
|
|
888
|
|
|
@pytest.mark.level(1) |
|
889
|
|
|
def test_load_collection_partition_not_existed(self, connect, collection): |
|
890
|
|
|
partition_name = gen_unique_str() |
|
891
|
|
|
status, ids = connect.insert(collection, vectors) |
|
892
|
|
|
assert status.OK() |
|
893
|
|
|
status = connect.load_collection(collection, partition_tags=[partition_name]) |
|
894
|
|
|
assert not status.OK() |
|
895
|
|
|
|
|
896
|
|
|
@pytest.mark.level(1) |
|
897
|
|
|
def test_load_collection_partition_invalid_string(self, connect, collection): |
|
898
|
|
|
partition_name = "invalid string" |
|
899
|
|
|
status, ids = connect.insert(collection, vectors) |
|
900
|
|
|
assert status.OK() |
|
901
|
|
|
status = connect.load_collection(collection, partition_tags=[partition_name]) |
|
902
|
|
|
assert not status.OK() |
|
903
|
|
|
|
|
904
|
|
|
@pytest.mark.level(1) |
|
905
|
|
|
def test_load_collection_partition_None(self, connect, collection): |
|
906
|
|
|
status = connect.load_collection(collection, partition_tags=None) |
|
907
|
|
|
assert status.OK() |
|
908
|
|
|
|
|
909
|
|
|
@pytest.mark.level(2) |
|
910
|
|
|
def test_load_collection_not_existed_ip(self, connect, ip_collection, get_simple_index): |
|
911
|
|
|
index_param = get_simple_index["index_param"] |
|
912
|
|
|
index_type = get_simple_index["index_type"] |
|
913
|
|
|
collection_name = gen_unique_str() |
|
914
|
|
|
status, ids = connect.insert(ip_collection, vectors) |
|
915
|
|
|
status = connect.create_index(ip_collection, index_type, index_param) |
|
916
|
|
|
status = connect.load_collection(collection_name) |
|
917
|
|
|
assert not status.OK() |
|
918
|
|
|
|
|
919
|
|
|
@pytest.mark.level(1) |
|
920
|
|
|
def test_load_collection_no_vectors(self, connect, collection): |
|
921
|
|
|
status = connect.load_collection(collection) |
|
922
|
|
|
assert status.OK() |
|
923
|
|
|
|
|
924
|
|
|
@pytest.mark.level(2) |
|
925
|
|
|
def test_load_collection_no_vectors_ip(self, connect, ip_collection): |
|
926
|
|
|
status = connect.load_collection(ip_collection) |
|
927
|
|
|
assert status.OK() |
|
928
|
|
|
|
|
929
|
|
|
# TODO: psutils get memory usage |
|
930
|
|
|
@pytest.mark.level(1) |
|
931
|
|
|
def test_load_collection_memory_usage(self, connect, collection): |
|
932
|
|
|
pass |
|
933
|
|
|
|
|
934
|
|
|
|
|
935
|
|
|
class TestCollectionInvalid(object): |
|
936
|
|
|
""" |
|
937
|
|
|
Test creating collection with invalid collection names |
|
938
|
|
|
""" |
|
939
|
|
|
@pytest.fixture( |
|
940
|
|
|
scope="function", |
|
941
|
|
|
params=gen_invalid_collection_names() |
|
942
|
|
|
) |
|
943
|
|
|
def get_collection_name(self, request): |
|
944
|
|
|
yield request.param |
|
945
|
|
|
|
|
946
|
|
|
@pytest.mark.level(2) |
|
947
|
|
|
def test_create_collection_with_invalid_collectionname(self, connect, get_collection_name): |
|
948
|
|
|
collection_name = get_collection_name |
|
949
|
|
|
param = {'collection_name': collection_name, |
|
950
|
|
|
'dimension': dim, |
|
951
|
|
|
'index_file_size': index_file_size, |
|
952
|
|
|
'metric_type': MetricType.L2} |
|
953
|
|
|
status = connect.create_collection(param) |
|
954
|
|
|
assert not status.OK() |
|
955
|
|
|
|
|
956
|
|
|
def test_create_collection_with_empty_collectionname(self, connect): |
|
957
|
|
|
collection_name = '' |
|
958
|
|
|
param = {'collection_name': collection_name, |
|
959
|
|
|
'dimension': dim, |
|
960
|
|
|
'index_file_size': index_file_size, |
|
961
|
|
|
'metric_type': MetricType.L2} |
|
962
|
|
|
with pytest.raises(Exception) as e: |
|
963
|
|
|
status = connect.create_collection(param) |
|
964
|
|
|
|
|
965
|
|
|
def test_load_collection_with_invalid_collectionname(self, connect): |
|
966
|
|
|
collection_name = '' |
|
967
|
|
|
with pytest.raises(Exception) as e: |
|
968
|
|
|
status = connect.load_collection(collection_name) |
|
969
|
|
|
|
|
970
|
|
|
|
|
971
|
|
|
class TestCreateCollectionDimInvalid(object): |
|
972
|
|
|
""" |
|
973
|
|
|
Test creating collection with invalid dimension |
|
974
|
|
|
""" |
|
975
|
|
|
@pytest.fixture( |
|
976
|
|
|
scope="function", |
|
977
|
|
|
params=gen_invalid_dims() |
|
978
|
|
|
) |
|
979
|
|
|
def get_dim(self, request): |
|
980
|
|
|
yield request.param |
|
981
|
|
|
|
|
982
|
|
|
@pytest.mark.level(2) |
|
983
|
|
|
@pytest.mark.timeout(5) |
|
984
|
|
|
def test_create_collection_with_invalid_dimension(self, connect, get_dim): |
|
985
|
|
|
dimension = get_dim |
|
986
|
|
|
collection = gen_unique_str("test_create_collection_with_invalid_dimension") |
|
987
|
|
|
param = {'collection_name': collection, |
|
988
|
|
|
'dimension': dimension, |
|
989
|
|
|
'index_file_size': index_file_size, |
|
990
|
|
|
'metric_type': MetricType.L2} |
|
991
|
|
|
if isinstance(dimension, int): |
|
992
|
|
|
status = connect.create_collection(param) |
|
993
|
|
|
assert not status.OK() |
|
994
|
|
|
else: |
|
995
|
|
|
with pytest.raises(Exception) as e: |
|
996
|
|
|
status = connect.create_collection(param) |
|
997
|
|
|
|
|
998
|
|
|
|
|
999
|
|
|
# TODO: max / min index file size |
|
1000
|
|
|
class TestCreateCollectionIndexSizeInvalid(object): |
|
1001
|
|
|
""" |
|
1002
|
|
|
Test creating collections with invalid index_file_size |
|
1003
|
|
|
""" |
|
1004
|
|
|
@pytest.fixture( |
|
1005
|
|
|
scope="function", |
|
1006
|
|
|
params=gen_invalid_file_sizes() |
|
1007
|
|
|
) |
|
1008
|
|
|
def get_file_size(self, request): |
|
1009
|
|
|
yield request.param |
|
1010
|
|
|
|
|
1011
|
|
|
@pytest.mark.level(2) |
|
1012
|
|
|
def test_create_collection_with_invalid_file_size(self, connect, collection, get_file_size): |
|
1013
|
|
|
file_size = get_file_size |
|
1014
|
|
|
param = {'collection_name': collection, |
|
1015
|
|
|
'dimension': dim, |
|
1016
|
|
|
'index_file_size': file_size, |
|
1017
|
|
|
'metric_type': MetricType.L2} |
|
1018
|
|
|
if isinstance(file_size, int): |
|
1019
|
|
|
status = connect.create_collection(param) |
|
1020
|
|
|
assert not status.OK() |
|
1021
|
|
|
else: |
|
1022
|
|
|
with pytest.raises(Exception) as e: |
|
1023
|
|
|
status = connect.create_collection(param) |
|
1024
|
|
|
|
|
1025
|
|
|
|
|
1026
|
|
|
class TestCreateMetricTypeInvalid(object): |
|
1027
|
|
|
""" |
|
1028
|
|
|
Test creating collections with invalid metric_type |
|
1029
|
|
|
""" |
|
1030
|
|
|
@pytest.fixture( |
|
1031
|
|
|
scope="function", |
|
1032
|
|
|
params=gen_invalid_metric_types() |
|
1033
|
|
|
) |
|
1034
|
|
|
def get_metric_type(self, request): |
|
1035
|
|
|
yield request.param |
|
1036
|
|
|
|
|
1037
|
|
|
@pytest.mark.level(2) |
|
1038
|
|
|
def test_create_collection_with_invalid_file_size(self, connect, collection, get_metric_type): |
|
1039
|
|
|
metric_type = get_metric_type |
|
1040
|
|
|
param = {'collection_name': collection, |
|
1041
|
|
|
'dimension': dim, |
|
1042
|
|
|
'index_file_size': 10, |
|
1043
|
|
|
'metric_type': metric_type} |
|
1044
|
|
|
with pytest.raises(Exception) as e: |
|
1045
|
|
|
status = connect.create_collection(param) |
|
1046
|
|
|
|
|
1047
|
|
|
|
|
1048
|
|
|
def create_collection(connect, **params): |
|
1049
|
|
|
param = {'collection_name': params["collection_name"], |
|
1050
|
|
|
'dimension': params["dimension"], |
|
1051
|
|
|
'index_file_size': index_file_size, |
|
1052
|
|
|
'metric_type': MetricType.L2} |
|
1053
|
|
|
status = connect.create_collection(param) |
|
1054
|
|
|
return status |
|
1055
|
|
|
|
|
1056
|
|
|
def search_collection(connect, **params): |
|
1057
|
|
|
status, result = connect.search( |
|
1058
|
|
|
params["collection_name"], |
|
1059
|
|
|
params["top_k"], |
|
1060
|
|
|
params["query_vectors"], |
|
1061
|
|
|
params={"nprobe": params["nprobe"]}) |
|
1062
|
|
|
return status |
|
1063
|
|
|
|
|
1064
|
|
|
def load_collection(connect, **params): |
|
1065
|
|
|
status = connect.load_collection(params["collection_name"]) |
|
1066
|
|
|
return status |
|
1067
|
|
|
|
|
1068
|
|
|
def has(connect, **params): |
|
1069
|
|
|
status, result = connect.has_collection(params["collection_name"]) |
|
1070
|
|
|
return status |
|
1071
|
|
|
|
|
1072
|
|
|
def show(connect, **params): |
|
1073
|
|
|
status, result = connect.list_collections() |
|
1074
|
|
|
return status |
|
1075
|
|
|
|
|
1076
|
|
|
def delete(connect, **params): |
|
1077
|
|
|
status = connect.drop_collection(params["collection_name"]) |
|
1078
|
|
|
return status |
|
1079
|
|
|
|
|
1080
|
|
|
def describe(connect, **params): |
|
1081
|
|
|
status, result = connect.get_collection_info(params["collection_name"]) |
|
1082
|
|
|
return status |
|
1083
|
|
|
|
|
1084
|
|
|
def rowcount(connect, **params): |
|
1085
|
|
|
status, result = connect.count_entities(params["collection_name"]) |
|
1086
|
|
|
return status |
|
1087
|
|
|
|
|
1088
|
|
|
def create_index(connect, **params): |
|
1089
|
|
|
status = connect.create_index(params["collection_name"], params["index_type"], params["index_param"]) |
|
1090
|
|
|
return status |
|
1091
|
|
|
|
|
1092
|
|
|
func_map = { |
|
1093
|
|
|
# 0:has, |
|
1094
|
|
|
1:show, |
|
1095
|
|
|
10:create_collection, |
|
1096
|
|
|
11:describe, |
|
1097
|
|
|
12:rowcount, |
|
1098
|
|
|
13:search_collection, |
|
1099
|
|
|
14:load_collection, |
|
1100
|
|
|
15:create_index, |
|
1101
|
|
|
30:delete |
|
1102
|
|
|
} |
|
1103
|
|
|
|
|
1104
|
|
|
def gen_sequence(): |
|
1105
|
|
|
raw_seq = func_map.keys() |
|
1106
|
|
|
result = itertools.permutations(raw_seq) |
|
1107
|
|
|
for x in result: |
|
1108
|
|
|
yield x |
|
1109
|
|
|
|
|
1110
|
|
|
class TestCollectionLogic(object): |
|
1111
|
|
|
@pytest.mark.parametrize("logic_seq", gen_sequence()) |
|
1112
|
|
|
@pytest.mark.level(2) |
|
1113
|
|
|
def test_logic(self, connect, logic_seq, args): |
|
1114
|
|
|
if args["handler"] == "HTTP": |
|
1115
|
|
|
pytest.skip("Skip in http mode") |
|
1116
|
|
|
if self.is_right(logic_seq): |
|
1117
|
|
|
self.execute(logic_seq, connect) |
|
1118
|
|
|
else: |
|
1119
|
|
|
self.execute_with_error(logic_seq, connect) |
|
1120
|
|
|
self.tear_down(connect) |
|
1121
|
|
|
|
|
1122
|
|
|
def is_right(self, seq): |
|
1123
|
|
|
if sorted(seq) == seq: |
|
1124
|
|
|
return True |
|
1125
|
|
|
|
|
1126
|
|
|
not_created = True |
|
1127
|
|
|
has_deleted = False |
|
1128
|
|
|
for i in range(len(seq)): |
|
1129
|
|
|
if seq[i] > 10 and not_created: |
|
1130
|
|
|
return False |
|
1131
|
|
|
elif seq [i] > 10 and has_deleted: |
|
1132
|
|
|
return False |
|
1133
|
|
|
elif seq[i] == 10: |
|
1134
|
|
|
not_created = False |
|
1135
|
|
|
elif seq[i] == 30: |
|
1136
|
|
|
has_deleted = True |
|
1137
|
|
|
|
|
1138
|
|
|
return True |
|
1139
|
|
|
|
|
1140
|
|
|
def execute(self, logic_seq, connect): |
|
1141
|
|
|
basic_params = self.gen_params() |
|
1142
|
|
|
for i in range(len(logic_seq)): |
|
1143
|
|
|
# logging.getLogger().info(logic_seq[i]) |
|
1144
|
|
|
f = func_map[logic_seq[i]] |
|
1145
|
|
|
status = f(connect, **basic_params) |
|
1146
|
|
|
assert status.OK() |
|
1147
|
|
|
|
|
1148
|
|
|
def execute_with_error(self, logic_seq, connect): |
|
1149
|
|
|
basic_params = self.gen_params() |
|
1150
|
|
|
|
|
1151
|
|
|
error_flag = False |
|
1152
|
|
|
for i in range(len(logic_seq)): |
|
1153
|
|
|
f = func_map[logic_seq[i]] |
|
1154
|
|
|
status = f(connect, **basic_params) |
|
1155
|
|
|
if not status.OK(): |
|
1156
|
|
|
# logging.getLogger().info(logic_seq[i]) |
|
1157
|
|
|
error_flag = True |
|
1158
|
|
|
break |
|
1159
|
|
|
assert error_flag == True |
|
1160
|
|
|
|
|
1161
|
|
|
def tear_down(self, connect): |
|
1162
|
|
|
names = connect.list_collections()[1] |
|
1163
|
|
|
for name in names: |
|
1164
|
|
|
connect.drop_collection(name) |
|
1165
|
|
|
|
|
1166
|
|
|
def gen_params(self): |
|
1167
|
|
|
collection_name = gen_unique_str("test_collection") |
|
1168
|
|
|
top_k = 1 |
|
1169
|
|
|
vectors = gen_vectors(2, dim) |
|
1170
|
|
|
param = {'collection_name': collection_name, |
|
1171
|
|
|
'dimension': dim, |
|
1172
|
|
|
'metric_type': MetricType.L2, |
|
1173
|
|
|
'nprobe': 1, |
|
1174
|
|
|
'top_k': top_k, |
|
1175
|
|
|
'index_type': IndexType.IVF_SQ8, |
|
1176
|
|
|
'index_param': { |
|
1177
|
|
|
'nlist': 16384 |
|
1178
|
|
|
}, |
|
1179
|
|
|
'query_vectors': vectors} |
|
1180
|
|
|
return param |
|
1181
|
|
|
|
milvus-io /
milvus
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