[test]Fix bulk insert perf (#20927)

Signed-off-by: zhuwenxing <wenxing.zhu@zilliz.com>

Signed-off-by: zhuwenxing <wenxing.zhu@zilliz.com>
pull/20969/head
zhuwenxing 2022-12-05 09:01:17 +08:00 committed by GitHub
parent 25a3b9ae19
commit c1b5e6aeb9
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
5 changed files with 139 additions and 43 deletions

View File

@ -143,7 +143,7 @@ class ApiUtilityWrapper:
pending_tasks = self.get_bulk_insert_pending_list()
log.info(f"after waiting, there are {len(pending_tasks)} pending tasks")
log.info(f"task state distribution: {tasks_state_distribution}")
log.debug(tasks_state)
log.info(tasks_state)
if len(tasks_state_distribution["success"]) == len(task_ids):
log.info(f"wait for bulk load tasks completed successfully, cost time: {end-start}")
return True, tasks_state

View File

@ -0,0 +1,25 @@
import pytest
def pytest_addoption(parser):
parser.addoption("--file_type", action="store", default="json", help="filetype")
parser.addoption("--create_index", action="store", default="create_index", help="whether creating index")
parser.addoption("--nb", action="store", default="", help="nb")
parser.addoption("--dim", action="store", default="2048", help="whether creating index")
@pytest.fixture
def file_type(request):
return request.config.getoption("--file_type")
@pytest.fixture
def create_index(request):
return request.config.getoption("--create_index")
@pytest.fixture
def nb(request):
return request.config.getoption("--nb")
@pytest.fixture
def dim(request):
return request.config.getoption("--dim")

View File

@ -1,5 +1,8 @@
import pytest
import json
import os
import time
import threading
from pathlib import Path
from time import sleep
from minio import Minio
from pymilvus import connections
@ -58,6 +61,11 @@ class TestChaosBase:
class TestChaos(TestChaosBase):
def teardown(self):
sleep(10)
log.info(f'Alive threads: {threading.enumerate()}')
@pytest.fixture(scope="function", autouse=True)
def connection(self, host, port, milvus_ns):
connections.add_connection(default={"host": host, "port": port})
@ -74,17 +82,16 @@ class TestChaos(TestChaosBase):
self.release_name = get_milvus_instance_name(self.milvus_ns, milvus_sys=self.milvus_sys)
self.deploy_by = get_milvus_deploy_tool(self.milvus_ns, self.milvus_sys)
@pytest.fixture(scope="function", autouse=True)
def init_health_checkers(self, collection_name=None):
def init_health_checkers(self, collection_name=None, create_index=True, dim=2048):
log.info("init health checkers")
c_name = collection_name if collection_name else cf.gen_unique_str("Checker_")
checkers = {
Op.bulk_insert: BulkInsertChecker(collection_name=c_name, use_one_collection=True),
Op.bulk_insert: BulkInsertChecker(collection_name=c_name, use_one_collection=False,
dim=dim, create_index=create_index),
}
self.health_checkers = checkers
@pytest.fixture(scope="function", autouse=True)
def prepare_bulk_insert(self, nb=100000):
def prepare_bulk_insert(self, nb=3000, file_type="json",dim=2048):
if Op.bulk_insert not in self.health_checkers:
log.info("bulk_insert checker is not in health checkers, skip prepare bulk load")
return
@ -100,40 +107,53 @@ class TestChaos(TestChaosBase):
minio_port = "9000"
minio_endpoint = f"{minio_ip}:{minio_port}"
bucket_name = ms.index_nodes[0]["infos"]["system_configurations"]["minio_bucket_name"]
schema = cf.gen_default_collection_schema()
data = cf.gen_default_list_data_for_bulk_insert(nb=nb)
fields_name = [field.name for field in schema.fields]
entities = []
for i in range(nb):
entity_value = [field_values[i] for field_values in data]
entity = dict(zip(fields_name, entity_value))
entities.append(entity)
data_dict = {"rows": entities}
data_source = "/tmp/ci_logs/bulk_insert_data_source.json"
file_name = "bulk_insert_data_source.json"
files = ["bulk_insert_data_source.json"]
# TODO: npy file type is not supported so far
log.info("generate bulk load file")
with open(data_source, "w") as f:
f.write(json.dumps(data_dict, indent=4))
schema = cf.gen_default_collection_schema(dim=dim)
data = cf.gen_default_list_data_for_bulk_insert(nb=nb, dim=dim)
data_dir = "/tmp/bulk_insert_data"
Path(data_dir).mkdir(parents=True, exist_ok=True)
files = []
if file_type == "json":
files = cf.gen_json_files_for_bulk_insert(data, schema, data_dir)
if file_type == "npy":
files = cf.gen_npy_files_for_bulk_insert(data, schema, data_dir)
log.info("upload file to minio")
client = Minio(minio_endpoint, access_key="minioadmin", secret_key="minioadmin", secure=False)
client.fput_object(bucket_name, file_name, data_source)
for file_name in files:
file_size = os.path.getsize(os.path.join(data_dir, file_name)) / 1024 / 1024
t0 = time.time()
client.fput_object(bucket_name, file_name, os.path.join(data_dir, file_name))
log.info(f"upload file {file_name} to minio, size: {file_size:.2f} MB, cost {time.time() - t0:.2f} s")
self.health_checkers[Op.bulk_insert].update(schema=schema, files=files)
log.info("prepare data for bulk load done")
@pytest.mark.tags(CaseLabel.L3)
def test_bulk_insert(self):
def test_bulk_insert_perf(self, file_type, create_index, nb, dim):
# start the monitor threads to check the milvus ops
log.info("*********************Test Start**********************")
log.info(connections.get_connection_addr('default'))
# c_name = cf.gen_unique_str("BulkInsertChecker_")
# self.init_health_checkers(collection_name=c_name)
log.info(f"file_type: {file_type}, create_index: {create_index}")
if create_index == "create_index":
create_index = True
else:
create_index = False
self.init_health_checkers(create_index=create_index, dim=int(dim))
if nb=="None":
nb = 3000
if file_type == "json":
nb = 13800
if file_type == "npy":
nb = 65000
else:
nb = int(nb)
self.prepare_bulk_insert(file_type=file_type, nb=nb, dim=int(dim))
cc.start_monitor_threads(self.health_checkers)
# wait 600s
sleep(constants.WAIT_PER_OP * 60)
sleep(constants.WAIT_PER_OP * 30)
assert_statistic(self.health_checkers)
assert_expectations()
for k, checker in self.health_checkers.items():
checker.check_result()
checker.terminate()
log.info("*********************Test Completed**********************")

View File

@ -88,7 +88,7 @@ class Checker:
b. count operations and success rate
"""
def __init__(self, collection_name=None, shards_num=2):
def __init__(self, collection_name=None, shards_num=2, dim=ct.default_dim):
self._succ = 0
self._fail = 0
self._keep_running = True
@ -98,12 +98,12 @@ class Checker:
c_name = collection_name if collection_name is not None else cf.gen_unique_str(
'Checker_')
self.c_wrap.init_collection(name=c_name,
schema=cf.gen_default_collection_schema(),
schema=cf.gen_default_collection_schema(dim=dim),
shards_num=shards_num,
timeout=timeout,
# active_trace=True,
enable_traceback=enable_traceback)
self.c_wrap.insert(data=cf.gen_default_list_data(nb=constants.ENTITIES_FOR_SEARCH),
self.c_wrap.insert(data=cf.gen_default_list_data(nb=constants.ENTITIES_FOR_SEARCH, dim=dim),
timeout=timeout,
enable_traceback=enable_traceback)
self.initial_entities = self.c_wrap.num_entities # do as a flush
@ -125,6 +125,7 @@ class Checker:
checker_name = self.__class__.__name__
checkers_result = f"{checker_name}, succ_rate: {succ_rate:.2f}, total: {total:03d}, average_time: {average_time:.4f}, max_time: {max_time:.4f}, min_time: {min_time:.4f}"
log.info(checkers_result)
log.info(f"{checker_name} rsp times: {self.rsp_times}")
return checkers_result
def terminate(self):
@ -579,18 +580,19 @@ class LoadBalanceChecker(Checker):
class BulkInsertChecker(Checker):
"""check bulk load operations in a dependent thread"""
def __init__(self, collection_name=None, files=[], use_one_collection=False):
def __init__(self, collection_name=None, files=[], use_one_collection=False, dim=ct.default_dim, create_index=True):
if collection_name is None:
collection_name = cf.gen_unique_str("BulkInsertChecker_")
super().__init__(collection_name=collection_name)
res, result = self.c_wrap.create_index(ct.default_float_vec_field_name,
constants.DEFAULT_INDEX_PARAM,
index_name=cf.gen_unique_str(
'index_'),
timeout=timeout,
enable_traceback=enable_traceback,
check_task=CheckTasks.check_nothing)
self.c_wrap.load()
super().__init__(collection_name=collection_name, dim=dim)
self.create_index = create_index
if self.create_index:
res, result = self.c_wrap.create_index(ct.default_float_vec_field_name,
constants.DEFAULT_INDEX_PARAM,
index_name=cf.gen_unique_str(
'index_'),
timeout=timeout,
enable_traceback=enable_traceback,
check_task=CheckTasks.check_nothing)
self.utility_wrap = ApiUtilityWrapper()
self.schema = cf.gen_default_collection_schema()
self.files = files
@ -610,7 +612,7 @@ class BulkInsertChecker(Checker):
log.info(f"bulk insert collection name: {self.c_name}")
task_ids, result = self.utility_wrap.do_bulk_insert(collection_name=self.c_name,
files=self.files)
completed, result = self.utility_wrap.wait_for_bulk_insert_tasks_completed(task_ids=[task_ids], timeout=60)
completed, result = self.utility_wrap.wait_for_bulk_insert_tasks_completed(task_ids=[task_ids], timeout=120)
return task_ids, completed
@exception_handler()
@ -622,6 +624,14 @@ class BulkInsertChecker(Checker):
else:
self.c_name = cf.gen_unique_str("BulkInsertChecker_")
self.c_wrap.init_collection(name=self.c_name, schema=self.schema)
if self.create_index:
res, result = self.c_wrap.create_index(ct.default_float_vec_field_name,
constants.DEFAULT_INDEX_PARAM,
index_name=cf.gen_unique_str(
'index_'),
timeout=timeout,
enable_traceback=enable_traceback,
check_task=CheckTasks.check_nothing)
# bulk insert data
task_ids, completed = self.bulk_insert()
if not completed:

View File

@ -2,6 +2,8 @@ import os
import random
import math
import string
import json
from functools import singledispatch
import numpy as np
import pandas as pd
from sklearn import preprocessing
@ -15,6 +17,17 @@ from customize.milvus_operator import MilvusOperator
"""" Methods of processing data """
@singledispatch
def to_serializable(val):
"""Used by default."""
return str(val)
@to_serializable.register(np.float32)
def ts_float32(val):
"""Used if *val* is an instance of numpy.float32."""
return np.float64(val)
class ParamInfo:
def __init__(self):
self.param_host = ""
@ -321,13 +334,41 @@ def gen_default_list_data(nb=ct.default_nb, dim=ct.default_dim):
def gen_default_list_data_for_bulk_insert(nb=ct.default_nb, dim=ct.default_dim):
int_values = [i for i in range(nb)]
float_values = [float(i) for i in range(nb)]
float_values = [np.float32(i) for i in range(nb)]
string_values = [str(i) for i in range(nb)]
float_vec_values = gen_vectors(nb, dim)
data = [int_values, float_values, string_values, float_vec_values]
return data
def gen_json_files_for_bulk_insert(data, schema, data_dir):
nb = len(data[0])
fields_name = [field.name for field in schema.fields]
entities = []
for i in range(nb):
entity_value = [field_values[i] for field_values in data]
entity = dict(zip(fields_name, entity_value))
entities.append(entity)
data_dict = {"rows": entities}
file_name = "bulk_insert_data_source.json"
files = ["bulk_insert_data_source.json"]
data_source = os.path.join(data_dir, file_name)
with open(data_source, "w") as f:
f.write(json.dumps(data_dict, indent=4, default=to_serializable))
return files
def gen_npy_files_for_bulk_insert(data, schema, data_dir):
fields_name = [field.name for field in schema.fields]
files = []
for field in fields_name:
files.append(f"{field}.npy")
for i, file in enumerate(files):
data_source = os.path.join(data_dir, file)
np.save(data_source, np.array(data[i]))
return files
def gen_default_tuple_data(nb=ct.default_nb, dim=ct.default_dim):
int_values = [i for i in range(nb)]
float_values = [np.float32(i) for i in range(nb)]