milvus/tests/benchmark/search_task.py
Cai Yudong 84110d2684 Add tests/benchmark and tests/python_test using new python SDK
Signed-off-by: Cai Yudong <yudong.cai@zilliz.com>
2021-02-25 17:35:36 +08:00

51 lines
1.6 KiB
Python

import random
import logging
from locust import User, task, between
from locust_task import MilvusTask
from client import MilvusClient
from milvus import DataType
import utils
connection_type = "single"
host = "172.16.50.9"
port = 19530
collection_name = "sift_5m_2000000_128_l2_2"
dim = 128
m = MilvusClient(host=host, port=port, collection_name=collection_name)
# m.clean_db()
# m.create_collection(dim, data_type=DataType.FLOAT_VECTOR, auto_id=True, other_fields=None)
vectors = [[random.random() for _ in range(dim)] for _ in range(1000)]
entities = m.generate_entities(vectors)
ids = [i for i in range(10000000)]
class QueryTask(User):
wait_time = between(0.001, 0.002)
# if connection_type == "single":
# client = MilvusTask(m=m)
# else:
# client = MilvusTask(host=host, port=port, collection_name=collection_name)
client = MilvusTask(host, port, collection_name, connection_type=connection_type)
# @task
# def query(self):
# top_k = 5
# X = [[random.random() for i in range(dim)] for i in range(1)]
# search_param = {"nprobe": 16}
# self.client.query(X, top_k, search_param)
@task(1)
def insert(self):
self.client.insert(entities)
# @task(1)
# def create(self):
# collection_name = utils.get_unique_name(prefix="locust")
# self.client.create_collection(dim, data_type=DataType.FLOAT_VECTOR, auto_id=True, collection_name=collection_name, other_fields=None)
# @task(1)
# def delete(self):
# delete_ids = random.sample(ids, 100)
# logging.error(delete_ids)
# self.client.delete(delete_ids)