使用Docker安装向量数据库milvus并且安装图形化界面的方法

for pkg in docker.io docker-doc docker-compose docker-compose-v2 podman-docker containerd runc; do sudo apt-get remove $pkg; done

# 添加Docker的官方GPG密钥:
sudo apt-get update
sudo apt-get install ca-certificates curl
sudo install -m 0755 -d /etc/apt/keyrings
sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
sudo chmod a+r /etc/apt/keyrings/docker.asc
# 将存储库添加到apt源:
echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
  $(. /etc/os-release && echo "${UBUNTU_CODENAME:-$VERSION_CODENAME}") stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update

sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

docker --help

curl -sfL https://raw.githubusercontent.com/milvus-io/milvus/master/scripts/standalone_embed.sh -o standalone_embed.sh

bash standalone_embed.sh start

sudo docker ps

sudo docker rm -f milvus-standalone

sudo docker build -t attu:2.4.12 .

# => Building container
FROM node:22-slim AS builder
WORKDIR /app
COPY . .
ARG TARGETPLATFORM
ARG BUILDPLATFORM
RUN echo "I am running on $BUILDPLATFORM, building for $TARGETPLATFORM"
# => Building Client
WORKDIR /app/client
RUN npm config set registry https://registry.npm.taobao.org && \
  yarn install --network-timeout 1000000
RUN yarn build
# => Building Server
WORKDIR /app/server
RUN npm config set registry https://registry.npm.taobao.org && \
  yarn install --network-timeout 1000000
ENV NODE_ENV=production \
    PORT=80
RUN yarn build
# => Copy to Final container
FROM node:22-slim
WORKDIR /app
COPY --from=builder /app/server/dist /app/dist
COPY --from=builder /app/client/build /app/build
COPY --from=builder /app/server/package.json /app/package.json
COPY --from=builder /app/server/yarn.lock /app/yarn.lock
# => Reinstall production dependencies and clean cache
RUN npm config set registry https://registry.npm.taobao.org && \
  yarn install --production && yarn cache clean
# Make our shell script executable
RUN chmod +x /app/build/env.sh
# Make all files accessible such that the image supports arbitrary user ids
RUN chgrp -R 0 /app && \
  chmod -R g=u /app
EXPOSE 3000
CMD ["/bin/bash", "-c", "/app/build/env.sh && yarn start:prod"]

sudo docker build -t attu:2.4.12 .

sudo docker iamges

cd ~
mkdir mivlus
cd milvus
sudo docker iamges

version: '3.8'
name: MilvusServer
services:
  milvus-standalone:
    image: milvusdb/milvus:v2.5.0-beta
    container_name: milvus-standalone
    security_opt:
      - seccomp:unconfined
    environment:
      - ETCD_USE_EMBED=true
      - ETCD_DATA_DIR=/var/lib/milvus/etcd
      - ETCD_CONFIG_PATH=/milvus/configs/embedEtcd.yaml
      - COMMON_STORAGETYPE=local
    volumes:
      - ./volumes/milvus:/var/lib/milvus
      - ./embedEtcd.yaml:/milvus/configs/embedEtcd.yaml
      - ./user.yaml:/milvus/configs/user.yaml
    ports:
      - "19530:19530"
      - "9091:9091"
      - "2379:2379"
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:9091/healthz"]
      interval: 30s
      start_period: 90s
      timeout: 20s
      retries: 3
    command: ["milvus", "run", "standalone"]
    logging:
      driver: "none"
    networks:
      - milvusserver_default #将其加入自定义的网络
  attu:
    image: attu:2.4.12  # 确认镜像标签是否正确
    container_name: attu
    environment:
      - MILVUS_URL=milvus-standalone:19530  # 使用服务名代替IP地址
    ports:
      - "8000:3000"
    depends_on:
      - milvus-standalone
    networks:
      - milvusserver_default #将其加入自定义的网络
networks:
  milvusserver_default:
    driver: bridge

sudo docker compose up -d