【milvus】向量数据库,用来做以图搜图+人脸识别的特征向量

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_第1张图片

 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_第2张图片
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

连接到Milvus
Verify which local port the Milvus server is listening on. Replace the container name with your own.

docker port milvus-standalone 19530/tcp

You can connect to Milvus cluster using the local IP address and port number returned by this command.

stop Milvus 停止Milvus
To stop Milvus standalone, run:

sudo docker-compose down

To delete data after stopping Milvus, run:

sudo rm -rf  volumes

在这里插入图片描述
我的几个也起来了。

2. 使用milvus做事情

ref:https://milvus.io/docs/example_code.md
todo

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