mirror of https://github.com/milvus-io/milvus.git
252 lines
8.8 KiB
Python
252 lines
8.8 KiB
Python
import time
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import pdb
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import threading
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import logging
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from multiprocessing import Pool, Process
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import pytest
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from milvus import IndexType, MetricType
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from utils import *
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dim = 128
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index_file_size = 10
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collection_id = "test_flush"
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DELETE_TIMEOUT = 60
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nprobe = 1
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tag = "1970-01-01"
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top_k = 1
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nb = 6000
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tag = "partition_tag"
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class TestFlushBase:
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"""
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******************************************************************
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The following cases are used to test `flush` function
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******************************************************************
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"""
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@pytest.fixture(
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scope="function",
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params=gen_simple_index()
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)
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def get_simple_index(self, request, connect):
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if str(connect._cmd("mode")[1]) == "GPU":
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if request.param["index_type"] not in [IndexType.IVF_SQ8, IndexType.IVFLAT, IndexType.FLAT, IndexType.IVF_PQ, IndexType.IVF_SQ8H]:
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pytest.skip("Only support index_type: idmap/flat")
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return request.param
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def test_flush_collection_not_existed(self, connect, collection):
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'''
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target: test delete vector, params collection_name not existed
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method: add vector and delete
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expected: status not ok
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'''
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collection_new = gen_unique_str()
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status = connect.flush([collection_new])
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assert not status.OK()
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def test_flush_empty_collection(self, connect, collection):
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'''
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method: flush collection with no vectors
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expected: status ok
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'''
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status = connect.flush([collection])
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assert status.OK()
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def test_add_partition_flush(self, connect, collection):
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'''
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method: add vectors into partition in collection, flush serveral times
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expected: status ok
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'''
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vectors = gen_vector(nb, dim)
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status = connect.create_partition(collection, tag)
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vectors = gen_vectors(nb, dim)
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ids = [i for i in range(nb)]
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status, ids = connect.insert(collection, vectors, ids)
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status = connect.flush([collection])
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result, res = connect.count_collection(collection)
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assert res == nb
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status, ids = connect.insert(collection, vectors, ids, partition_tag=tag)
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assert status.OK()
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status = connect.flush([collection])
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assert status.OK()
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result, res = connect.count_collection(collection)
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assert res == 2 * nb
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def test_add_partitions_flush(self, connect, collection):
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'''
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method: add vectors into partitions in collection, flush one
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expected: status ok
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'''
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vectors = gen_vectors(nb, dim)
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tag_new = gen_unique_str()
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status = connect.create_partition(collection, tag)
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status = connect.create_partition(collection, tag_new)
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ids = [i for i in range(nb)]
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status, ids = connect.insert(collection, vectors, ids, partition_tag=tag)
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status = connect.flush([collection])
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assert status.OK()
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status, ids = connect.insert(collection, vectors, ids, partition_tag=tag_new)
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assert status.OK()
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status = connect.flush([collection])
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assert status.OK()
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result, res = connect.count_collection(collection)
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assert res == 2 * nb
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def test_add_collections_flush(self, connect, collection):
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'''
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method: add vectors into collections, flush one
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expected: status ok
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'''
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vectors = gen_vectors(nb, dim)
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collection_new = gen_unique_str()
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param = {'collection_name': collection_new,
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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_partition(collection, tag)
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status = connect.create_partition(collection_new, tag)
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vectors = gen_vectors(nb, dim)
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ids = [i for i in range(nb)]
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status, ids = connect.insert(collection, vectors, ids, partition_tag=tag)
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status, ids = connect.insert(collection_new, vectors, ids, partition_tag=tag)
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assert status.OK()
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status = connect.flush([collection])
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status = connect.flush([collection_new])
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assert status.OK()
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result, res = connect.count_collection(collection)
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assert res == nb
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result, res = connect.count_collection(collection_new)
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assert res == nb
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def test_add_flush_multiable_times(self, connect, collection):
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'''
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method: add vectors, flush serveral times
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expected: status ok
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'''
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vectors = gen_vectors(nb, dim)
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status, ids = connect.add_vectors(collection, vectors)
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assert status.OK()
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for i in range(10):
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status = connect.flush([collection])
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assert status.OK()
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query_vecs = [vectors[0], vectors[1], vectors[-1]]
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status, res = connect.search_vectors(collection, top_k, query_records=query_vecs)
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assert status.OK()
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# TODO: stable case
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def test_add_flush_auto(self, connect, collection):
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'''
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method: add vectors
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expected: status ok
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'''
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vectors = gen_vectors(nb, dim)
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ids = [i for i in range(nb)]
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status, ids = connect.add_vectors(collection, vectors, ids)
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assert status.OK()
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timeout = 10
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start_time = time.time()
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while (time.time()-start_time < timeout):
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time.sleep(1)
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status, res = connect.count_collection(collection)
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if res == nb:
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assert status.OK()
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break
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if time.time()-start_time > timeout:
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assert False
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@pytest.fixture(
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scope="function",
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params=[
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1,
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100
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],
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)
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def same_ids(self, request):
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yield request.param
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def test_add_flush_same_ids(self, connect, collection, same_ids):
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'''
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method: add vectors, with same ids, count(same ids) < 15, > 15
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expected: status ok
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'''
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vectors = gen_vectors(nb, dim)
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ids = [i for i in range(nb)]
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for i, item in enumerate(ids):
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if item <= same_ids:
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ids[i] = 0
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status, ids = connect.add_vectors(collection, vectors, ids)
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status = connect.flush([collection])
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assert status.OK()
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status, res = connect.count_collection(collection)
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assert status.OK()
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assert res == nb
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def test_delete_flush_multiable_times(self, connect, collection):
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'''
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method: delete vectors, flush serveral times
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expected: status ok
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'''
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vectors = gen_vectors(nb, dim)
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status, ids = connect.add_vectors(collection, vectors)
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assert status.OK()
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status = connect.delete_by_id(collection, [ids[-1]])
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assert status.OK()
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for i in range(10):
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status = connect.flush([collection])
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assert status.OK()
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query_vecs = [vectors[0], vectors[1], vectors[-1]]
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status, res = connect.search_vectors(collection, top_k, query_records=query_vecs)
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assert status.OK()
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# TODO: CI fail, LOCAL pass
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def _test_collection_count_during_flush(self, connect, args):
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'''
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method: flush collection at background, call `count_collection`
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expected: status ok
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'''
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collection = gen_unique_str()
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param = {'collection_name': collection,
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'dimension': dim,
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'index_file_size': index_file_size,
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'metric_type': MetricType.L2}
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milvus = get_milvus(args["ip"], args["port"], handler=args["handler"])
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milvus.create_collection(param)
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vectors = gen_vector(nb, dim)
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status, ids = milvus.add_vectors(collection, vectors, ids=[i for i in range(nb)])
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def flush(collection_name):
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milvus = get_milvus(args["ip"], args["port"], handler=args["handler"])
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status = milvus.delete_by_id(collection_name, [i for i in range(nb)])
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assert status.OK()
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status = milvus.flush([collection_name])
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assert status.OK()
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p = Process(target=flush, args=(collection, ))
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p.start()
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status, res = milvus.count_collection(collection)
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assert status.OK()
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p.join()
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status, res = milvus.count_collection(collection)
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assert status.OK()
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logging.getLogger().info(res)
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assert res == 0
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class TestCollectionNameInvalid(object):
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"""
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Test adding vectors with invalid collection names
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"""
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@pytest.fixture(
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scope="function",
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params=gen_invalid_collection_names()
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)
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def get_collection_name(self, request):
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yield request.param
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@pytest.mark.level(2)
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def test_flush_with_invalid_collection_name(self, connect, get_collection_name):
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collection_name = get_collection_name
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with pytest.raises(Exception) as e:
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status, result = connect.flush(collection_name)
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