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视频网站怎么做压力测试,上海谷歌优化,怎么做快法务类似网站,网站图片加alt标签1. 环境准备确保您的系统已安装： DockerDocker ComposePython (用于运行客户端代码) 2. 项目结构创建项目目录并设置以下文件： milvus-docker/ ├── docker-compose.yml ├── main.py3. 配置文件 docker-compose.yml version: 3.5services:…

1. 环境准备

确保您的系统已安装：

Docker
Docker Compose
Python (用于运行客户端代码)

2. 项目结构

创建项目目录并设置以下文件：

milvus-docker/
├── docker-compose.yml
├── main.py

3. 配置文件

docker-compose.yml

version: '3.5'services:etcd:container_name: milvus-etcdimage: quay.io/coreos/etcd:v3.5.5environment:- ETCD_AUTO_COMPACTION_MODE=revision- ETCD_AUTO_COMPACTION_RETENTION=1000- ETCD_QUOTA_BACKEND_BYTES=4294967296volumes:- ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/etcd:/etcdcommand: etcd -advertise-client-urls=http://127.0.0.1:2379 -listen-client-urls http://0.0.0.0:2379 --data-dir /etcdminio:container_name: milvus-minioimage: minio/minio:RELEASE.2023-03-20T20-16-18Zenvironment:MINIO_ACCESS_KEY: minioadminMINIO_SECRET_KEY: minioadminvolumes:- ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/minio:/minio_datacommand: minio server /minio_datahealthcheck:test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"]interval: 30stimeout: 20sretries: 3standalone:container_name: milvus-standaloneimage: milvusdb/milvus:v2.3.3command: ["milvus", "run", "standalone"]environment:ETCD_ENDPOINTS: etcd:2379MINIO_ADDRESS: minio:9000volumes:- ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/milvus:/var/lib/milvusports:- "19530:19530"- "9091:9091"depends_on:- "etcd"- "minio"

4. 启动服务

在项目目录下运行：

docker-compose up -d

这将启动三个容器：

milvus-etcd: 元数据存储
milvus-minio: 对象存储
milvus-standalone: Milvus 服务器

5. Python 客户端示例

安装 Python 依赖：

pip install pymilvus

main.py 示例代码

from pymilvus import MilvusClient# Authentication not enabled
client = MilvusClient("http://localhost:19530")client.create_collection(collection_name="test_collection", dimension=5)client.insert(collection_name="test_collection",data=[{"id": 0, "vector": [0.3580376395471989, -0.6023495712049978, 0.18414012509913835, -0.26286205330961354, 0.9029438446296592], "color": "pink_8682"},{"id": 1, "vector": [0.19886812562848388, 0.06023560599112088, 0.6976963061752597, 0.2614474506242501, 0.838729485096104], "color": "red_7025"},{"id": 2, "vector": [0.43742130801983836, -0.5597502546264526, 0.6457887650909682, 0.7894058910881185, 0.20785793220625592], "color": "orange_6781"},{"id": 3, "vector": [0.3172005263489739, 0.9719044792798428, -0.36981146090600725, -0.4860894583077995, 0.95791889146345], "color": "pink_9298"},{"id": 4, "vector": [0.4452349528804562, -0.8757026943054742, 0.8220779437047674, 0.46406290649483184, 0.30337481143159106], "color": "red_4794"},{"id": 5, "vector": [0.985825131989184, -0.8144651566660419, 0.6299267002202009, 0.1206906911183383, -0.1446277761879955], "color": "yellow_4222"},{"id": 6, "vector": [0.8371977790571115, -0.015764369584852833, -0.31062937026679327, -0.562666951622192, -0.8984947637863987], "color": "red_9392"},{"id": 7, "vector": [-0.33445148015177995, -0.2567135004164067, 0.8987539745369246, 0.9402995886420709, 0.5378064918413052], "color": "grey_8510"},{"id": 8, "vector": [0.39524717779832685, 0.4000257286739164, -0.5890507376891594, -0.8650502298996872, -0.6140360785406336], "color": "white_9381"},{"id": 9, "vector": [0.5718280481994695, 0.24070317428066512, -0.3737913482606834, -0.06726932177492717, -0.6980531615588608], "color": "purple_4976"}],
)res = client.get(collection_name="test_collection",ids=1
)print(res)
"""
(milvus-docker) D:\node_test\milvus-docker>uv run main.py
data: ["{'id': 1, 'vector': [np.float32(0.19886813), np.float32(0.060235605), np.float32(0.6976963), np.float32(0.26144746), np.float32(0.8387295)], 'color': 'red_7025'}"]
"""

6. 验证部署

运行 Python 示例代码：

python main.py

如果看到类似以下输出，说明部署成功：

data: ["{'id': 1, 'vector': [np.float32(0.19886813), np.float32(0.060235605), np.float32(0.6976963), np.float32(0.26144746), np.float32(0.8387295)], 'color': 'red_7025'}"]