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verify data_queryable state after bulk load (#17601)

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Signed-off-by: yanliang567 <yanliang.qiao@zilliz.com>
This commit is contained in:
yanliang567 2022-06-16 21:14:10 +08:00 committed by GitHub
parent 53a49a9255
commit bea6fcd5fd
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2 changed files with 32 additions and 21 deletions
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22
tests/python_client/base/utility_wrapper.py
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@ -50,12 +50,23 @@ class ApiUtilityWrapper:
continue
else:
state, _ = self.get_bulk_load_state(task_id, task_timeout, using, **kwargs)
if state.state_name == target_state:
successes[task_id] = state
elif state.state_name == BulkLoadStates.BulkLoadFailed:
fails[task_id] = state
if target_state == BulkLoadStates.BulkLoadDataQueryable:
if state.data_queryable is True:
successes[task_id] = True
else:
in_progress[task_id] = False
elif target_state == BulkLoadStates.BulkLoadDataIndexed:
if state.data_indexed is True:
successes[task_id] = True
else:
in_progress[task_id] = False
else:
in_progress[task_id] = state
if state.state_name == target_state:
successes[task_id] = state
elif state.state_name == BulkLoadStates.BulkLoadFailed:
fails[task_id] = state
else:
in_progress[task_id] = state
end = time.time()
if timeout is not None:
if end - start > timeout:
@ -215,3 +226,4 @@ class ApiUtilityWrapper:
res, _ = api_request([self.ut.mkts_from_hybridts, hybridts, milliseconds, delta])
return res

31
tests/python_client/bulk_load/test_bulk_load.py
View File

@ -1,6 +1,5 @@
import logging
import time
from time import sleep
import pytest
import random
from base.client_base import TestcaseBase
@ -196,7 +195,7 @@ class TestBulkLoad(TestcaseBase):
logging.info(f"bulk load task ids:{task_ids}")
success, state = self.utility_wrap.\
wait_for_bulk_load_tasks_completed(task_ids=task_ids,
target_state=BulkLoadStates.BulkLoadPersisted,
target_state=BulkLoadStates.BulkLoadDataQueryable,
timeout=30)
tt = time.time() - t0
log.info(f"bulk load state:{success} in {tt}")
@ -205,8 +204,6 @@ class TestBulkLoad(TestcaseBase):
assert m_partition.num_entities == entities
assert self.collection_wrap.num_entities == entities
# TODO: remove sleep when indexed state ready
sleep(5)
res, _ = self.utility_wrap.index_building_progress(c_name)
exp_res = {'total_rows': entities, 'indexed_rows': entities}
assert res == exp_res
@ -230,7 +227,7 @@ class TestBulkLoad(TestcaseBase):
@pytest.mark.parametrize("row_based", [True, False])
@pytest.mark.parametrize("auto_id", [True, False])
@pytest.mark.parametrize("dim", [16])
@pytest.mark.parametrize("entities", [200])
@pytest.mark.parametrize("entities", [2000])
@pytest.mark.xfail(reason="issue #16890")
def test_binary_vector_only(self, row_based, auto_id, dim, entities):
"""
@ -269,20 +266,18 @@ class TestBulkLoad(TestcaseBase):
# TODO: Update to BulkLoadDataIndexed when issue #16889 fixed
success, _ = self.utility_wrap.wait_for_bulk_load_tasks_completed(
task_ids=task_ids,
target_state=BulkLoadStates.BulkLoadPersisted,
target_state=BulkLoadStates.BulkLoadDataIndexed,
timeout=30)
tt = time.time() - t0
log.info(f"bulk load state:{success} in {tt}")
assert success
# # verify build index status
# sleep(10)
# # TODO: verify build index after issue #16890 fixed
# TODO: verify build index after #16890 fixed
# res, _ = self.utility_wrap.index_building_progress(c_name)
# exp_res = {'total_rows': entities, 'indexed_rows': entities}
# assert res == exp_res
# TODO: verify num entities
# verify num entities
assert self.collection_wrap.num_entities == entities
# load collection
@ -539,8 +534,9 @@ class TestBulkLoad(TestcaseBase):
@pytest.mark.parametrize("auto_id", [True, False]) # True, False
@pytest.mark.parametrize("dim", [16]) # 16
@pytest.mark.parametrize("entities", [100]) # 3000
@pytest.mark.parametrize("file_nums", [32]) # 10 # TODO: more after issue #17152 fixed
@pytest.mark.parametrize("file_nums", [32]) # 10
@pytest.mark.parametrize("multi_folder", [True, False]) # True, False
@pytest.mark.xfail(reason="issue #17600")
# TODO: reason="BulkloadIndexed cannot be reached for issue #16889")
def test_float_vector_from_multi_files(self, row_based, auto_id, dim, entities, file_nums, multi_folder):
"""
@ -827,6 +823,7 @@ class TestBulkLoad(TestcaseBase):
@pytest.mark.parametrize("dim", [128]) # 128
@pytest.mark.parametrize("entities", [1000]) # 1000
@pytest.mark.parametrize("with_int_field", [True, False])
@pytest.mark.xfail(reason="issue #17600")
def test_with_uid_n_int_numpy(self, auto_id, dim, entities, with_int_field):
"""
collection schema 1: [pk, float_vector]
@ -881,8 +878,9 @@ class TestBulkLoad(TestcaseBase):
@pytest.mark.tags(CaseLabel.L3)
@pytest.mark.parametrize("auto_id", [True, False])
@pytest.mark.parametrize("dim", [6])
@pytest.mark.parametrize("entities", [1000])
@pytest.mark.parametrize("entities", [2000])
@pytest.mark.parametrize("file_nums", [10])
@pytest.mark.xfail(reason="issue #17597")
def test_multi_numpy_files_from_diff_folders(self, auto_id, dim, entities, file_nums):
"""
collection schema 1: [pk, float_vector]
@ -909,16 +907,18 @@ class TestBulkLoad(TestcaseBase):
data_fields = [df.vec_field]
if not auto_id:
data_fields.append(df.pk_field)
task_ids = []
for i in range(file_nums):
files = prepare_bulk_load_numpy_files(rows=entities, dim=dim,
data_fields=data_fields,
file_nums=1, force=True)
task_ids, _ = self.utility_wrap.bulk_load(collection_name=c_name,
task_id, _ = self.utility_wrap.bulk_load(collection_name=c_name,
row_based=row_based,
files=files)
task_ids.append(task_id[0])
success, states = self.utility_wrap.\
wait_for_bulk_load_tasks_completed(task_ids=task_ids,
target_state=BulkLoadStates.BulkLoadPersisted,
target_state=BulkLoadStates.BulkLoadDataQueryable,
timeout=30)
log.info(f"bulk load state:{success}")
@ -927,7 +927,6 @@ class TestBulkLoad(TestcaseBase):
assert self.collection_wrap.num_entities == entities * file_nums
# verify search and query
# sleep(10)
search_data = cf.gen_vectors(1, dim)
search_params = ct.default_search_params
res, _ = self.collection_wrap.search(search_data, df.vec_field,
@ -1903,4 +1902,4 @@ class TestBulkLoadAdvanced(TestcaseBase):
"limit": 1})
# self.collection_wrap.query(expr=f"id in {ids}")
"""Validate data consistency and availability during import"""
"""Validate data consistency and availability during import"""