mirror of
https://gitee.com/milvus-io/milvus.git
synced 2024-12-03 20:39:36 +08:00
88 lines
3.1 KiB
Python
88 lines
3.1 KiB
Python
import time
|
|
import pytest
|
|
|
|
from base.client_base import TestcaseBase
|
|
from common import common_func as cf
|
|
from common import common_type as ct
|
|
from common.common_type import CaseLabel
|
|
from utils.util_log import test_log as log
|
|
|
|
prefix = "e2e_"
|
|
|
|
|
|
class TestE2e(TestcaseBase):
|
|
""" Test case of end to end"""
|
|
@pytest.mark.tags(CaseLabel.L1)
|
|
def test_milvus_default(self):
|
|
# create
|
|
name = cf.gen_unique_str(prefix)
|
|
t0 = time.time()
|
|
collection_w = self.init_collection_wrap(name=name, active_trace=True)
|
|
tt = time.time() - t0
|
|
assert collection_w.name == name
|
|
entities = collection_w.num_entities
|
|
log.info(f"assert create collection: {tt}, init_entities: {entities}")
|
|
|
|
# insert
|
|
data = cf.gen_default_list_data()
|
|
t0 = time.time()
|
|
_, res = collection_w.insert(data)
|
|
tt = time.time() - t0
|
|
log.info(f"assert insert: {tt}")
|
|
assert res
|
|
|
|
# flush
|
|
t0 = time.time()
|
|
num_entities, check_result = collection_w.flush(timeout=180)
|
|
assert check_result
|
|
assert num_entities == len(data[0]) + entities
|
|
tt = time.time() - t0
|
|
entities = collection_w.num_entities
|
|
log.info(f"assert flush: {tt}, entities: {entities}")
|
|
|
|
# search
|
|
collection_w.load()
|
|
search_vectors = cf.gen_vectors(1, ct.default_dim)
|
|
search_params = {"metric_type": "L2", "params": {"nprobe": 16}}
|
|
t0 = time.time()
|
|
res_1, _ = collection_w.search(data=search_vectors,
|
|
anns_field=ct.default_float_vec_field_name,
|
|
param=search_params, limit=1)
|
|
tt = time.time() - t0
|
|
log.info(f"assert search: {tt}")
|
|
assert len(res_1) == 1
|
|
collection_w.release()
|
|
|
|
# index
|
|
d = cf.gen_default_list_data()
|
|
collection_w.insert(d)
|
|
log.info(f"assert index entities: {collection_w.num_entities}")
|
|
_index_params = {"index_type": "IVF_SQ8", "params": {"nlist": 64}, "metric_type": "L2"}
|
|
t0 = time.time()
|
|
index, _ = collection_w.create_index(field_name=ct.default_float_vec_field_name,
|
|
index_params=_index_params,
|
|
name=cf.gen_unique_str())
|
|
tt = time.time() - t0
|
|
log.info(f"assert index: {tt}")
|
|
assert len(collection_w.indexes) == 1
|
|
|
|
# search
|
|
t0 = time.time()
|
|
collection_w.load()
|
|
tt = time.time() - t0
|
|
log.info(f"assert load: {tt}")
|
|
search_vectors = cf.gen_vectors(1, ct.default_dim)
|
|
t0 = time.time()
|
|
res_1, _ = collection_w.search(data=search_vectors,
|
|
anns_field=ct.default_float_vec_field_name,
|
|
param=search_params, limit=1)
|
|
tt = time.time() - t0
|
|
log.info(f"assert search: {tt}")
|
|
|
|
# query
|
|
term_expr = f'{ct.default_int64_field_name} in [1001,1201,4999,2999]'
|
|
t0 = time.time()
|
|
res, _ = collection_w.query(term_expr)
|
|
tt = time.time() - t0
|
|
log.info(f"assert query result {len(res)}: {tt}")
|