Docker安装使用MySQL和Tensorflow Serving

Ubuntu18.04安装

安装最新版Docker

1	$ wget -qO- https://get.docker.com/ \| sh

Docker可以在容器内运行应用程序，使用docker run命令在容器内运行应用程序

$ sudo docker

Usage:  docker [OPTIONS] COMMAND

A self-sufficient runtime for containers

Options:
      --config string      Location of client config files (default "/home/fanrong1/.docker")
  -D, --debug              Enable debug mode
  -H, --host list          Daemon socket(s) to connect to
  -l, --log-level string   Set the logging level ("debug"|"info"|"warn"|"error"|"fatal") (default "info")
      --tls                Use TLS; implied by --tlsverify
      --tlscacert string   Trust certs signed only by this CA (default "/home/fanrong1/.docker/ca.pem")
      --tlscert string     Path to TLS certificate file (default "/home/fanrong1/.docker/cert.pem")
      --tlskey string      Path to TLS key file (default "/home/fanrong1/.docker/key.pem")
      --tlsverify          Use TLS and verify the remote
  -v, --version            Print version information and quit

Management Commands:
  builder     Manage builds
  config      Manage Docker configs
  container   Manage containers
  engine      Manage the docker engine
  ...

使用Docker MySQL

下面以docker mysql为例介绍Docker的使用。
查找Docker Hub上的MySQL镜像

$ sudo docker search mysql
NAME                                                   DESCRIPTION                                     STARS               OFFICIAL            AUTOMATED
mysql                                                  MySQL is a widely used, open-source relation…   8115                [OK]
mariadb                                                MariaDB is a community-developed fork of MyS…   2753                [OK]
mysql/mysql-server                                     Optimized MySQL Server Docker images. Create…   607                                     [OK]
zabbix/zabbix-server-mysql                             Zabbix Server with MySQL database support       191                                     [OK]
hypriot/rpi-mysql                                      RPi-compatible Docker Image with Mysql          113
zabbix/zabbix-web-nginx-mysql                          Zabbix frontend based on Nginx web-server wi…   100                                     [OK]
...

拉取官方镜像，Tag为5.7

1	$ sudo docker pull mysql:5.7

查看本地镜像列表

$ sudo docker images
REPOSITORY           TAG                 IMAGE ID            CREATED             SIZE
ubuntu               16.04               9361ce633ff1        8 weeks ago         118MB
tensorflow/serving   latest              38bee21b2ca0        2 months ago        229MB
mysql                5.7                 e47e309f72c8        3 months ago        372MB

启动mysql docker容器

1 2	$ sudo docker run --name test_docker_mysql -p 3307:3306 -e MYSQL_ROOT_PASSWORD=123456 -d mysql:5.7 65b2b644555b3730ac936caab2ccf9ad451b6e31f2509ed3e2333c9e20079873

查看docker启动情况

1
2
3

$ sudo docker ps
CONTAINER ID        IMAGE                COMMAND                  CREATED             STATUS              PORTS                               NAMES
65b2b644555b        mysql:5.7            "docker-entrypoint.s…"   5 minutes ago       Up 5 minutes        33060/tcp, 0.0.0.0:3307->3306/tcp   test_docker_mysql

到这已经可以使用docker的mysql容器提供的服务了，由于本地没有安装mysql客户端，所以这里用python去连接：

#coding:utf-8

import pymysql

db = pymysql.connect("localhost", "root", "123456", "mysql", port=3307)
cursor = db.cursor()
sql = "select * from user"
cursor.execute(sql)
results = cursor.fetchall()
for row in results:
    print(row)

db.close()

运行脚本结果：

$ python mysql_test.py
('localhost', 'root', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', '', b'', b'', b'', 0, 0, 0, 0, 'mysql_native_password', '*6BB4837EB74329105EE4568DDA7DC67ED2CA2AD9', 'N', datetime.datetime(2019, 5, 9, 8, 47, 32), None, 'N')
('localhost', 'mysql.session', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'Y', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', '', b'', b'', b'', 0, 0, 0, 0, 'mysql_native_password', '*THISISNOTAVALIDPASSWORDTHATCANBEUSEDHERE', 'N', datetime.datetime(2019, 5, 9, 8, 47, 20), None, 'Y')
('localhost', 'mysql.sys', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', 'N', '', b'', b'', b'', 0, 0, 0, 0, 'mysql_native_password', '*THISISNOTAVALIDPASSWORDTHATCANBEUSEDHERE', 'N', datetime.datetime(2019, 5, 9, 8, 47, 20), None, 'Y')
('%', 'root', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', 'Y', '', b'', b'', b'', 0, 0, 0, 0, 'mysql_native_password', '*6BB4837EB74329105EE4568DDA7DC67ED2CA2AD9', 'N', datetime.datetime(2019, 5, 9, 8, 47, 32), None, 'N')

使用Docker Tensorflow Serving部署模型

下载Tensorflow Serving的Docker镜像

1 2	$ sudo docker pull tensorflow/serving $ git clone https://github.com/tensorflow/serving

设置demo模型的路径

1	$ TESTDATA="$(pwd)/serving/tensorflow_serving/servables/tensorflow/testdata"

启动Tensorflow Serving容器，打开REST API端口

1	$ sudo docker run -t -p 8501:8501 -v "$TESTDATA/saved_model_half_plus_two_cpu:/models/half_plus_two" -e MODEL_NAME=half_plus_two tensorflow/serving

用命令行请求模型的预测API

$ curl -d '{"instances": [1.0, 2.0, 5.0]}' -X POST http://localhost:8501/v1/models/half_plus_two:predict
{ "predictions": [2.5, 3.0, 4.5] }
$ curl -d '{"inputs": 1.0}' -X POST http://localhost:8501/v1/models/half_plus_two:predict
{ "predictions": 2.5 }