【milvus】向量数据库，用来做以图搜图+人脸识别的特征向量-Toy模板网

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1. 安装milvus

ref:https://milvus.io/docs
第一次装东西，要把遇到的问题和成功经验都记录下来。

1.Download the YAML file

wget https://github.com/milvus-io/milvus/releases/download/v2.2.11/milvus-standalone-docker-compose.yml -O docker-compose.yml

看一下下载下来的是什么东西

cat docker-compose.yml
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

  minio:
    container_name: milvus-minio
    image: minio/minio:RELEASE.2023-03-20T20-16-18Z
    environment:
      MINIO_ACCESS_KEY: minioadmin
      MINIO_SECRET_KEY: minioadmin
    volumes:
      - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/minio:/minio_data
    command: minio server /minio_data
    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:v2.2.11
    command: ["milvus", "run", "standalone"]
    environment:
      ETCD_ENDPOINTS: etcd:2379
      MINIO_ADDRESS: minio:9000
    volumes:
      - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/milvus:/var/lib/milvus
    ports:
      - "19530:19530"
      - "9091:9091"
    depends_on:
      - "etcd"
      - "minio"

networks:
  default:

Start Milvus
In the same directory as the docker-compose.yml file, start up Milvus by running:

sudo docker-compose up -d

报错则需要安装docker-compose了

(base) [root@localhost ~]# sudo docker-compose up -d
sudo: docker-compose：找不到命令

下载最新版的docker-compose 文件

https://github.com/docker/compose/releases/download/v2.5.0/docker-compose-linux-x86_64

添加可执行权限

[root@offline-client bin]# mv docker-compose-linux-x86_64 docker-compose
[root@offline-client bin]# docker-compose version
Docker Compose version v2.5.0

【milvus】向量数据库，用来做以图搜图+人脸识别的特征向量,深度学习,linux,人工智能

 curl -SL https://github.com/docker/compose/releases/download/v2.20.0/docker-compose-linux-x86_64 -o /usr/local/bin/docker-compose

docker-compose version

(base) [root@localhost bin]# docker-compose version
Docker Compose version v2.5.0

Start Milvus

In the same directory as the docker-compose.yml file, start up Milvus by running:

sudo docker-compose up -d

回到docker-compose.yml所在的目录，执行以上命令
开始安装了：
【milvus】向量数据库，用来做以图搜图+人脸识别的特征向量,深度学习,linux,人工智能
After Milvus standalone starts, there will be three docker containers running, including the Milvus standalone service and its two dependencies.
执行完以上命令，会有三个docker containers服务起来，包括：Milvus standalone service and its two dependencies.
一个milvus单体服务。以及它的两个依赖。

      Name                     Command                  State                            Ports
--------------------------------------------------------------------------------------------------------------------
milvus-etcd         etcd -advertise-client-url ...   Up             2379/tcp, 2380/tcp
milvus-minio        /usr/bin/docker-entrypoint ...   Up (healthy)   9000/tcp
milvus-standalone   /tini -- milvus run standalone   Up             0.0.0.0:19530->19530/tcp, 0.0.0.0:9091->9091/tcp