azuredatastudio/extensions/resource-deployment/notebooks/sql2019-image-docker.ipynb

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            "name": "python",
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    "cells": [
        {
            "cell_type": "markdown",
            "source": "First, pull the Microsoft SQL Server 2019 Image",
            "metadata": {}
        },
        {
            "cell_type": "code",
            "source": "cmd = f'docker pull mcr.microsoft.com/mssql/server:2019-latest'\r\n!{cmd}",
            "metadata": {},
            "outputs": [],
            "execution_count": 49
        },
        {
            "cell_type": "markdown",
            "source": "List all the containers",
            "metadata": {}
        },
        {
            "cell_type": "code",
            "source": "cmd = f'docker ps -a'\r\n!{cmd}",
            "metadata": {},
            "outputs": [],
            "execution_count": 50
        },
        {
            "cell_type": "markdown",
            "source": "Start a new container with SQL Server 2019",
            "metadata": {}
        },
        {
            "cell_type": "code",
            "source": "import time\r\n\r\ncontainer_name = 'sql2019-' + time.strftime(\"%Y%m%d%H%M%S\", time.localtime())\r\nprint('New container name: ' + container_name)\r\n\r\nsql_port = 1433\r\nsa_password = \"<YourStrong!Passw0rd>\"\r\n\r\ncmd = f'docker run -e ACCEPT_EULA=Y -e \"SA_PASSWORD={sa_password}\" -p {sql_port}:{sql_port} --name {container_name} -d mcr.microsoft.com/mssql/server:2019-latest'\r\nprint(cmd)\r\n!{cmd}",
            "metadata": {},
            "outputs": [],
            "execution_count": 51
        },
        {
            "cell_type": "markdown",
            "source": "List all the containers",
            "metadata": {}
        },
        {
            "cell_type": "code",
            "source": "cmd = f'docker ps -a'\r\n!{cmd}",
            "metadata": {},
            "outputs": [],
            "execution_count": 48
        }
    ]
}