windows系统Docker装Milvus向量数据库

一. 安装windows系统docker

官网下载:https://www.docker.com/

Docker安装成功

  1. 国内镜像配置

{

"builder": {

"gc": {

"defaultKeepStorage": "20GB",

"enabled": true

}

},

"experimental": false,

"registry-mirrors": [

"https://docker.1panel.live",

"https://hub.rat.dev/",

"https://docker.chenby.cn",

"https://docker.m.daocloud.io"

]

}

9.启动cmd

docker ps

输入以下命令以验证 Docker 和 Docker Compose 是否安装成功:

docker --version

docker-compose --version

二. docker安装milvus

(1)首先创建一个 文件夹 比如milvus,再创建如下文件

(2)docker-compose.yml文件代码如下:

html 复制代码
version: '3.5'
 
services:
  etcd:
    container_name: milvus-etcd
    image: quay.io/coreos/etcd:v3.5.5
    environment:
      - ETCD_AUTO_COMPACTION_MODE=revision
      - ETCD_AUTO_COMPACTION_RETENTION=1000
      - ETCD_QUOTA_BACKEND_BYTES=4294967296
      - ETCD_SNAPSHOT_COUNT=50000
    volumes:
      - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/etcd:/etcd
    command: etcd -advertise-client-urls=http://127.0.0.1:2379 -listen-client-urls http://0.0.0.0:2379 --data-dir /etcd
    healthcheck:
      test: ["CMD", "etcdctl", "endpoint", "health"]
      interval: 30s
      timeout: 20s
      retries: 3
 
  minio:
    container_name: milvus-minio
    image: minio/minio:RELEASE.2023-03-20T20-16-18Z
    environment:
      MINIO_ACCESS_KEY: minioadmin
      MINIO_SECRET_KEY: minioadmin
    ports:
      - "9001:9001"
      - "9000:9000"
    volumes:
      - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/minio:/minio_data
    command: minio server /minio_data --console-address ":9001"
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"]
      interval: 30s
      timeout: 20s
      retries: 3
 
  standalone:
    container_name: milvus-standalone
    image: milvusdb/milvus:v2.3.10
    command: ["milvus", "run", "standalone"]
    security_opt:
    - seccomp:unconfined
    environment:
      ETCD_ENDPOINTS: etcd:2379
      MINIO_ADDRESS: minio:9000
    volumes:
      - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/milvus:/var/lib/milvus
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:9091/healthz"]
      interval: 30s
      start_period: 90s
      timeout: 20s
      retries: 3
    ports:
      - "19530:19530"
      - "9091:9091"
    depends_on:
      - "etcd"
      - "minio"
  attu:
    container_name: attu
    image: zilliz/attu:v2.3.10
    environment:
      MILVUS_URL: standalone:19530
    ports:
      - "8000:3000"
    depends_on:
      - "standalone"
networks:
  default:
    name: milvus

(3) 运行docker

docker-compose up -d

(4)启动attu界面:

官网:https://github.com/zilliztech/attu

启动后,浏览器输入:http:127.0.0.1:8000

相关推荐
meilindehuzi_a11 小时前
Node.js 实战 Milvus 向量数据库:从建库、向量检索到 RAG AI 日记本
数据库·node.js·milvus
华大哥1 天前
Milvus向量数据库和Milvus向量数据库命令行工具:milvus-cli
数据库·milvus
Lemon0309232 天前
milvus
milvus
Database_Cool_7 天前
阿里云 Lindorm vs Milvus+ES 拼接:一栈式多模数据库与多库架构全维度对比
elasticsearch·阿里云·milvus
IT小辉同学8 天前
# Milvus v3.0-beta docker-compose 启动失败完整排错教程
docker·eureka·milvus
大模型码小白9 天前
Milvus 架构设计:从向量索引到分布式检索,AI 原生存储引擎的内部机制
java·大数据·人工智能·分布式·深度学习·milvus
小二·10 天前
多模态RAG实战:用LangChain+Milvus打造支持图文音视频的企业级知识库
langchain·音视频·milvus
weixin_3077791314 天前
Linux下Docker Compose里运行Milvus向量数据库故障诊断Shell脚本
linux·运维·数据库·docker·milvus
Generalzy16 天前
从本地 Demo 到生产级检索:Milvus 学习笔记(3)
笔记·学习·milvus
Earth explosion16 天前
大规模向量库的索引选型与查询性能调优:Milvus 实战指南
人工智能·milvus·ai智能体