Creating a model performance issue #640
Description
I used viztracer to analyze the performance of HashModel and BaseModel, and found that the time difference between the two was hundreds of times when the model was generated, and a large number of Deepcopies were generated when the HashModel was generated, but I could not locate the problem, Is the pydantic v1 version causing the problem?
create model cost:
BaseModel ~= 3us
HashModel ~= 700us
python:3.11
viztracer==0.16.3
redis-om==0.3.1
redis == 5.0.6
eg: demo.py
from pydantic import BaseModel
from redis_om import HashModel
class TaskStatisticalModel(BaseModel):
task_uuid: str = ""
parallel_task: str = ""
is_alarm: int = 0
class TaskStatisticalModel2(HashModel):
task_uuid: str = ""
parallel_task: str = ""
is_alarm: int = 0
def add_redis_model():
TaskStatisticalModel2()
def add_base_model():
TaskStatisticalModel()
def test_redis_model(number=10):
for i in range(number):
add_redis_model()
def test_base_model(number=10):
for i in range(number):
add_base_model()
if __name__ == '__main__':
num = 10
test_redis_model(num)
test_base_model(num)
use viztracer
viztracer demo.py
# wait
vizviewer result.json
search:
"add_redis_model" => hash_model
"add_base_model" => base model
