mirror of
https://gitee.com/milvus-io/milvus.git
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84110d2684
Signed-off-by: Cai Yudong <yudong.cai@zilliz.com>
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
import random
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import logging
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from locust import User, task, between
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from locust_task import MilvusTask
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from client import MilvusClient
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from milvus import DataType
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import utils
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connection_type = "single"
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host = "172.16.50.9"
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port = 19530
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collection_name = "sift_5m_2000000_128_l2_2"
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dim = 128
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m = MilvusClient(host=host, port=port, collection_name=collection_name)
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# m.clean_db()
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# m.create_collection(dim, data_type=DataType.FLOAT_VECTOR, auto_id=True, other_fields=None)
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vectors = [[random.random() for _ in range(dim)] for _ in range(1000)]
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entities = m.generate_entities(vectors)
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ids = [i for i in range(10000000)]
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class QueryTask(User):
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wait_time = between(0.001, 0.002)
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# if connection_type == "single":
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# client = MilvusTask(m=m)
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# else:
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# client = MilvusTask(host=host, port=port, collection_name=collection_name)
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client = MilvusTask(host, port, collection_name, connection_type=connection_type)
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# @task
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# def query(self):
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# top_k = 5
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# X = [[random.random() for i in range(dim)] for i in range(1)]
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# search_param = {"nprobe": 16}
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# self.client.query(X, top_k, search_param)
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@task(1)
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def insert(self):
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self.client.insert(entities)
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# @task(1)
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# def create(self):
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# collection_name = utils.get_unique_name(prefix="locust")
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# self.client.create_collection(dim, data_type=DataType.FLOAT_VECTOR, auto_id=True, collection_name=collection_name, other_fields=None)
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# @task(1)
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# def delete(self):
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# delete_ids = random.sample(ids, 100)
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# logging.error(delete_ids)
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# self.client.delete(delete_ids)
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