milvus/tests/python_client/testcases/test_delete_20.py
binbin 1019d0a3da
[skip ci] Improve test comments (#10493)
Signed-off-by: Binbin Lv <binbin.lv@zilliz.com>
2021-10-23 16:46:13 +08:00

693 lines
28 KiB
Python

import pytest
from base.client_base import TestcaseBase
from common import common_func as cf
from common import common_type as ct
from utils.util_log import test_log as log
from common.common_type import CaseLabel, CheckTasks
prefix = "delete"
half_nb = ct.default_nb // 2
tmp_nb = 100
tmp_expr = f'{ct.default_int64_field_name} in {[0]}'
query_res_tmp_expr = [{f'{ct.default_int64_field_name}': 0}]
exp_res = "exp_res"
class TestDeleteParams(TestcaseBase):
"""
Test case of delete interface
def delete(expr, partition_name=None, timeout=None, **kwargs)
return MutationResult
Only the `in` operator is supported in the expr
"""
@pytest.mark.skip(reason="Issues #10431")
@pytest.mark.tags(CaseLabel.L0)
@pytest.mark.parametrize('is_binary', [False, True])
def test_delete_entities(self, is_binary):
"""
target: test delete data from collection
method: 1.create and insert nb with flush
2.load collection
3. delete half of nb
4.query with deleted ids
expected: Query result is empty
"""
# init collection with default_nb default data
collection_w, _, _, ids = self.init_collection_general(prefix, insert_data=True, is_binary=is_binary)[0:4]
expr = f'{ct.default_int64_field_name} in {ids[:half_nb]}'
# delete half of data
del_res = collection_w.delete(expr)[0]
assert del_res.delete_count == half_nb
collection_w.num_entities
# query with deleted ids
collection_w.query(expr, check_task=CheckTasks.check_query_empty)
@pytest.mark.tags(CaseLabel.L1)
def test_delete_without_connection(self):
"""
target: test delete without connect
method: delete after remove connection
expected: raise exception
"""
# init collection with tmp_nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
# remove connection and delete
self.connection_wrap.remove_connection(ct.default_alias)
res_list, _ = self.connection_wrap.list_connections()
assert ct.default_alias not in res_list
error = {ct.err_code: 0, ct.err_msg: "should create connect first"}
collection_w.delete(expr=tmp_expr, check_task=CheckTasks.err_res, check_items=error)
# Not MilvusException
@pytest.mark.tags(CaseLabel.L1)
def test_delete_expr_none(self):
"""
target: test delete with None expr
method: delete with None expr
expected: raise exception
"""
# init collection with tmp_nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
error = {ct.err_code: 0, ct.err_msg: "expr cannot be None"}
collection_w.delete(expr=None, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.parametrize("expr", [1, [], ()])
def test_delete_expr_non_string(self, expr):
"""
target: test delete with non-string expression
method: delete with non-string expr
expected: raise exception
"""
# init collection with tmp_nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
error = {ct.err_code: 0, ct.err_msg: f"expr value {expr} is illegal"}
collection_w.delete(expr, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.parametrize("expr", ["12-s", "中文"])
def test_delete_invalid_expr_string(self, expr):
"""
target: test delete with invalid string expr
method: delete with invalid string
expected: Raise exception
"""
# init collection with tmp_nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
error = {ct.err_code: 1, ct.err_msg: f"failed to create expr plan, expr = {expr}"}
collection_w.delete(expr, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L1)
def test_delete_expr_empty_value(self):
"""
target: test delete with empty array expr
method: delete with expr: "id in []"
expected: assert num entities
"""
# init collection with tmp_nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
expr = f'{ct.default_int64_field_name} in {[]}'
# delete empty entities
collection_w.delete(expr)
@pytest.mark.skip(reason="Issues #10431")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_expr_single(self):
"""
target: test delete with one value
method: delete with expr: "id in [0]"
expected: Describe num entities by one
"""
# init collection with tmp_nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
expr = f'{ct.default_int64_field_name} in {[0]}'
del_res, _ = collection_w.delete(expr)
assert del_res.delete_count == 1
collection_w.query(expr, check_task=CheckTasks.check_query_empty)
@pytest.mark.skip(reason="Issues #10431")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_expr_all_values(self):
"""
target: test delete with all values
method: delete with expr: "id in [all]"
expected: num entities unchanged and deleted data will be not be queried
"""
# init collection with default_nb default data
collection_w, _, _, ids = self.init_collection_general(prefix, insert_data=True)[0:4]
expr = f'{ct.default_int64_field_name} in {ids}'
del_res, _ = collection_w.delete(expr)
# assert results
assert del_res.delete_count == ct.default_nb
assert collection_w.num_entities == ct.default_nb
assert collection_w.is_empty
collection_w.query(expr, check_task=CheckTasks.check_query_empty)
@pytest.mark.tags(CaseLabel.L1)
@pytest.mark.parametrize("ids", [[tmp_nb], [0, tmp_nb]])
def test_delete_not_existed_values(self, ids):
"""
target: test delete part/not existed values
method: delete data not in the collection
expected: No exception
"""
# init collection with tmp_nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
# No exception
expr = f'{ct.default_int64_field_name} in {ids}'
res = collection_w.delete(expr=expr)[0]
# todo assert res.delete_count == 0
collection_w.query(tmp_expr, check_task=CheckTasks.check_query_results, check_items={exp_res: query_res_tmp_expr})
@pytest.mark.tags(CaseLabel.L1)
def test_delete_expr_inconsistent_values(self):
"""
target: test delete with inconsistent type values
method: delete with non-int64 type values
expected: raise exception
"""
# init collection with tmp_nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
expr = f'{ct.default_int64_field_name} in {[0.0, 1.0]}'
# Bad exception message
error = {ct.err_code: 1, ct.err_msg: "failed to create expr plan,"}
collection_w.delete(expr=expr, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.tags(CaseLabel.L2)
def test_delete_expr_mix_values(self):
"""
target: test delete with mix type values
method: delete with int64 and float values
expected: raise exception
"""
# init collection with tmp_nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
expr = f'{ct.default_int64_field_name} in {[0, 1.0]}'
# Bad exception message
error = {ct.err_code: 1, ct.err_msg: "failed to create expr plan"}
collection_w.delete(expr=expr, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.xfail(reason="Issue: #10459")
@pytest.mark.tags(CaseLabel.L0)
def test_delete_partition(self):
"""
target: test delete from partition
method: delete with partition names
expected: verify partition entities are deleted
"""
import time
# init collection and partition
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
partition_w = self.init_partition_wrap(collection_wrap=collection_w)
# load collection and insert data to partition
collection_w.load()
df = cf.gen_default_dataframe_data(tmp_nb)
partition_w.insert(df)
# delete ids from partition
del_res, _ = collection_w.delete(tmp_expr, partition_name=partition_w.name)
assert del_res.delete_count == 1
# query with deleted id and query with existed id
collection_w.query(tmp_expr, check_task=CheckTasks.check_query_empty, partition_names=[partition_w.name])
res = df.iloc[1:2, :1].to_dict('records')
time.sleep(1)
collection_w.query(f'{ct.default_int64_field_name} in [1]',
check_task=CheckTasks.check_query_results, check_items={exp_res: res})
@pytest.mark.skip(reason="Issues #10431")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_default_partition(self):
"""
target: test delete from default partition
method: delete with partition name "_default"
expected: assert delete successfully
"""
# create, insert with flush, load collection
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
del_res, _ = collection_w.delete(tmp_expr, partition_name=ct.default_partition_name)
assert del_res.delete_count == 1
collection_w.query(tmp_expr, check_task=CheckTasks.check_query_empty)
@pytest.mark.skip(reason="Issue: #10466")
@pytest.mark.parametrize("partition_name", [1, [], {}, ()])
@pytest.mark.tags(CaseLabel.L2)
def test_delete_non_string_partition_name(self, partition_name):
"""
target: test delete with non-string partition name
method: delete with non-string partition name
expected: Raise exception
"""
# create, insert with flush, load collection
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
error = {ct.err_code: 0, ct.err_msg: "The type of expr must be string"}
collection_w.delete(tmp_expr, partitio_name=partition_name)
# @pytest.mark.skip(reason="Waiting for debug")
class TestDeleteOperation(TestcaseBase):
"""
******************************************************************
The following cases are used to test delete interface operations
******************************************************************
"""
# @pytest.mark.skip(reason="Issues #10277")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_from_empty_collection(self):
"""
target: test delete entities from an empty collection
method: create a collection and delete entities
expected: No exception
"""
c_name = cf.gen_unique_str(prefix)
collection_w = self.init_collection_wrap(name=c_name)
collection_w.delete(tmp_expr)[0]
# todo assert del_res.delete_count == 0
@pytest.mark.skip(reason="Issue: #10459")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_entities_repeatedly(self):
"""
target: test delete entities twice
method: delete with same expr twice
expected: No exception for second deletion
"""
# init collection with nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
# assert delete successfully and no exception
collection_w.delete(expr=tmp_expr)
collection_w.query(tmp_expr, check_task=CheckTasks.check_query_empty)
collection_w.delete(expr=tmp_expr)
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_after_index(self):
"""
target: test delete after creating index
method: 1.create index 2.delete entities
expected: assert index and num entities
"""
# init collection with nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
# create index
index_params = {"index_type": "IVF_SQ8", "metric_type": "L2", "params": {"nlist": 64}}
collection_w.create_index(ct.default_float_vec_field_name, index_params)
assert collection_w.has_index()[0]
# delete entity
collection_w.delete(tmp_expr)
assert collection_w.num_entities == tmp_nb - 1
assert collection_w.has_index()
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_search(self):
"""
target: test delete and search
method: search entities after it was deleted
expected: deleted entity is not in the search result
"""
# init collection with nb default data
collection_w = self.init_collection_general(prefix, insert_data=True)[0]
entity, _ = collection_w.query(tmp_expr, output_fields=["%"])
default_search_exp = "int64 >= 0"
search_res, _ = collection_w.search(entity[ct.default_float_vec_field_name], ct.default_float_vec_field_name,
ct.default_search_params, limit=1)
# assert search results contains entity
# todo
del_res, _ = collection_w.delete(tmp_expr)
assert del_res.delete_count == 1
search_res_2, _ = collection_w.search(entity[ct.default_float_vec_field_name], ct.default_float_vec_field_name,
ct.default_search_params, limit=1)
# assert search result is not equal to entity
# todo
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_expr_repeated_values(self):
"""
target: test delete with repeated values
method: 1.insert data with unique primary keys
2.delete with repeated values: 'id in [0, 0]'
expected: delete one entity
"""
# init collection with nb default data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
expr = f'{ct.default_int64_field_name} in {[0, 0, 0]}'
del_res, _ = collection_w.delete(expr)
assert del_res.delete_count == 1
assert collection_w.num_entities == tmp_nb - 1
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_duplicate_primary_keys(self):
"""
target: test delete from duplicate primary keys
method: 1.insert data with dup ids
2.delete with repeated or not values
expected: delete all entities
"""
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
df = cf.gen_default_dataframe_data(nb=tmp_nb)
df[ct.default_int64_field_name] = 0
collection_w.insert(df)
assert collection_w.num_entities == tmp_nb
collection_w.load()
del_res, _ = collection_w.delete(tmp_expr)
assert del_res.delete_count == tmp_nb
assert collection_w.is_empty
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_empty_partition(self):
"""
target: test delete empty partition
method: delete from an empty partition
expected: raise exception
"""
# init collection and partition
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
partition_w = self.init_partition_wrap(collection_wrap=collection_w)
error = {ct.err_code: 0, ct.err_msg: "..."}
collection_w.delete(tmp_expr, partition_name=[partition_w.name], check_task=CheckTasks.err_res,
check_items=error)
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_not_existed_partition(self):
"""
target: test delete from an not existed partition
method: delete from an fake partition
expected: raise exception
"""
# init collection with tmp_nb data
collection_w = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True)[0]
# raise exception
error = {ct.err_code: 0, ct.err_msg: "..."}
collection_w.delete(tmp_expr, partition_name=ct.default_tag, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_from_partition_with_another_ids(self):
"""
target: delete another partition entities from partition
method: 1.insert nb entities into two partitions in half
2.delete entities from partition_1 with partition_2 values
expected: No entities will be deleted
"""
half = ct.default_nb // 2
collection_w, partition_w, _, _ = self.insert_entities_into_two_partitions_in_half(half)
# delete entities from another partition
expr = f'{ct.default_int64_field_name} in {[0]}'
collection_w.delete(expr, partition_name=[ct.default_partition_name])
assert collection_w.num_entities == ct.default_nb
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_from_partition_with_own_ids(self):
"""
target: test delete own pk from partition
method: 1.insert nb entities into two partitions in half
2.delete entities from partition_1 with partition_1 values
expected: verify entities is deleted
"""
half = ct.default_nb // 2
collection_w, partition_w, _, _ = self.insert_entities_into_two_partitions_in_half(half)
# delete entities from another partition
expr = f'{ct.default_int64_field_name} in {[0]}'
collection_w.delete(expr, partition_name=[partition_w.name])
assert collection_w.num_entities == ct.default_nb - 1
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_from_partitions_with_same_ids(self):
"""
target: test delete same ids from two partitions with same data
method: 1.insert same nb data into two partitions
2.delete same ids from two partitions
expected: The data in both partitions will be deleted
"""
# init collection and partition
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
partition_w = self.init_partition_wrap(collection_wrap=collection_w)
# insert same data into partition_w and default partition
df = cf.gen_default_dataframe_data(tmp_nb)
collection_w.insert(df)
partition_w.insert(df)
assert collection_w.num_entities == tmp_nb * 2
# delete same ids from two partition
collection_w.delete(tmp_expr, partition_name=[ct.default_partition_name, partition_w.name])
assert collection_w.num_entities == tmp_nb - 2
@pytest.mark.skip(reason="Issues #10431")
@pytest.mark.tags(CaseLabel.L0)
def test_delete_auto_id_collection(self):
"""
target: test delete from auto_id collection
method: delete entities from auto_id=true collection
expected: versify delete successfully
"""
# init an auto_id collection and insert tmp_nb data
collection_w, _, _, ids = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True, auto_id=True)[0:4]
# delete with insert ids
expr = f'{ct.default_int64_field_name} in {[ids[0]]}'
res, _ = collection_w.delete(expr)
# verify delete result
assert res.delete_count == 1
query_res, _ = collection_w.query(expr)
assert len(query_res) == 0
@pytest.mark.tags(CaseLabel.L2)
def test_delete_query_without_loading(self):
"""
target: test delete and query without loading
method: 1.insert and flush data
2.delete ids
3.query without loading
expected: Raise exception
"""
# create collection, insert data without flush
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
df = cf.gen_default_dataframe_data(tmp_nb)
collection_w.insert(df)
assert collection_w.num_entities == tmp_nb
# delete
res = collection_w.delete(tmp_expr)[0]
assert res.delete_count == 1
# query without loading and raise exception
error = {ct.err_code: 1, ct.err_msg: f"collection {collection_w.name} was not loaded into memory"}
collection_w.query(expr=tmp_expr, check_task=CheckTasks.err_res, check_items=error)
@pytest.mark.skip(reason="Issues #10382")
@pytest.mark.tags(CaseLabel.L1)
def test_delete_without_flush(self):
"""
target: test delete without flush
method: 1.insert and flush data
2.delete ids from collection and no flush
3.load and query with id
expected: No query result
"""
# create collection, insert data without flush
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
df = cf.gen_default_dataframe_data(tmp_nb)
collection_w.insert(df)
assert collection_w.num_entities == tmp_nb
# delete
del_res, _ = collection_w.delete(tmp_expr)
assert del_res.delete_count == 1
# load and query with id
collection_w.load()
query_res = collection_w.query(tmp_expr, check_task=CheckTasks.check_query_empty)
@pytest.mark.xfail(reason="Issue: #10459")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_data_from_growing_segment(self):
"""
target: test delete entities from growing segment
method: 1.create collection
2.load collection
3.insert data and delete ids
4.query deleted ids
expected: No query result
"""
# create collection
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
# load collection and the queryNode watch the insertChannel
collection_w.load()
# insert data
df = cf.gen_default_dataframe_data(tmp_nb)
collection_w.insert(df)
# delete id 0
del_res = collection_w.delete(tmp_expr)[0]
assert del_res.delete_count == 1
# query id 0
collection_w.query(tmp_expr, check_task=CheckTasks.check_query_empty)
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_after_load_sealed_segment(self):
"""
target: test delete sealed data and get deleteMsg from insertChannel
method: 1.create, insert and flush data
2.load collection
3.delete id without flush
4.query deleted ids (queryNode get deleted ids from channel not persistence)
expected: Delete successfully and no query result
"""
# create collection and insert flush data
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
df = cf.gen_default_dataframe_data(tmp_nb)
collection_w.insert(df)
assert collection_w.num_entities == tmp_nb
# load collection and queryNode subscribe channel
collection_w.load()
# delete ids and query
collection_w.delete(tmp_expr)
query_res = collection_w.query(tmp_expr)[0]
assert len(query_res) == 0
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_sealed_segment_with_flush(self):
"""
target: test delete data from sealed segment and flush delta log
method: 1.create and insert and flush data
2.delete entities and flush (delta log persistence)
3.load collection (load data and delta log)
4.query deleted ids
expected: No query result
"""
# create collection
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
# insert and flush data
df = cf.gen_default_dataframe_data(tmp_nb)
collection_w.insert(df)
assert collection_w.num_entities == tmp_nb
# delete id 0 and flush
del_res = collection_w.delete(tmp_expr)[0]
assert del_res.delete_count == 1
collection_w.num_entities
# load and query id 0
collection_w.load()
query_res = collection_w.query(tmp_expr)[0]
assert len(query_res) == 0
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_insert_same_entity(self):
"""
target: test delete and insert same entity
method: 1.delete entity one
2.insert entity one
3.query entity one
expected: verify query result
"""
# init collection and insert data without flush
collection_w = self.init_collection_wrap(name=cf.gen_unique_str(prefix))
df = cf.gen_default_dataframe_data(tmp_nb)
collection_w.insert(df)
# delete
del_res, _ = collection_w.delete(tmp_expr)
assert del_res.delete_count == 1
assert collection_w.num_entities == tmp_nb
# insert entity with primary key 0
collection_w.insert(df[:1])
# query entity one
collection_w.load()
res = df.iloc[0:1, :1].to_dict('records')
collection_w.query(tmp_expr, check_task=CheckTasks.check_query_results, check_items={'exp_res': res})
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_entity_loop(self):
"""
target: test delete all entities one by one in a loop
method: delete data one by one for a loop
expected: No exception
"""
# init an auto_id collection and insert tmp_nb data
collection_w, _, _, ids = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True, auto_id=True)
for del_id in ids:
expr = f'{ct.default_int64_field_name} in {[del_id]}'
res, _ = collection_w.delete(expr)
assert res.delete_count == 1
# query with first and last id
collection_w.load()
first_expr = f'{ct.default_int64_field_name} in {ids[0]}'
first_res, _ = collection_w.query(first_expr)
assert len(first_res) == 0
last_expr = f'{ct.default_int64_field_name} in {ids[-1]}'
last_res, _ = collection_w.query(last_expr)
assert len(last_res) == 0
@pytest.mark.skip(reason="Waiting for debug")
@pytest.mark.tags(CaseLabel.L2)
def test_delete_flush_loop(self):
"""
target: test delete and flush in a loop
method: in a loop, delete batch and flush, until delete all entities
expected: No exception
"""
# init an auto_id collection and insert tmp_nb data
collection_w, _, _, ids = self.init_collection_general(prefix, nb=tmp_nb, insert_data=True, auto_id=True)
batch = 10
for i in range(tmp_nb // batch):
expr = f'{ct.default_int64_field_name} in {ids[i * batch: (i + 1) * batch]}'
res, _ = collection_w.delete(expr)
assert res.delete_count == batch
assert collection_w.num_entities == tmp_nb
# query with first and last id
collection_w.load()
first_expr = f'{ct.default_int64_field_name} in {ids[0]}'
first_res, _ = collection_w.query(first_expr)
assert len(first_res) == 0
last_expr = f'{ct.default_int64_field_name} in {ids[-1]}'
last_res, _ = collection_w.query(last_expr)
assert len(last_res) == 0
@pytest.mark.tags(CaseLabel.L2)
@pytest.mark.skip(reason="TODO")
def test_delete_multi_threading(self):
"""
target: test delete multi threading
method: delete multi threading
expected: delete successfully
"""
pass