mirror of
https://github.com/ckaczor/azuredatastudio.git
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278 lines
11 KiB
Plaintext
278 lines
11 KiB
Plaintext
{
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"metadata": {
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python"
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},
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"language_info": {
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"name": "python",
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"version": "3.8.10",
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"mimetype": "text/x-python",
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"pygments_lexer": "ipython3",
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"nbconvert_exporter": "python",
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"file_extension": ".py"
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}
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},
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"nbformat_minor": 2,
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"nbformat": 4,
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"\n",
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"## Run SQL Server 2019 container image with Docker\n",
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"This notebook will use Docker to pull and run the SQL Server 2019 container image and connect to it in Azure Data Studio\n",
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"\n",
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"### Dependencies\n",
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"- Docker Engine. For more information, see [Install Docker](https://docs.docker.com/engine/installation/).\n",
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"\n",
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"<span style=\"color:red\"><font size=\"3\">Please press the \"Run all\" button to run the notebook</font></span>"
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],
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"metadata": {
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"azdata_cell_guid": "e5fb2be9-e904-4821-8473-b69b90760c6a"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Check dependencies"
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],
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"metadata": {
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"azdata_cell_guid": "76c571ab-358a-4b07-810c-53020ee1745a"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"import sys,os,getpass,json,html,time\n",
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"from string import Template\n",
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"\n",
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"def run_command(displayCommand = \"\"):\n",
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" print(\"Executing: \" + displayCommand if displayCommand != \"\" else cmd)\n",
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" !{cmd}\n",
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" if _exit_code != 0:\n",
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" sys.exit(f'Command execution failed with exit code: {str(_exit_code)}.\\n')\n",
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" print(f'Command successfully executed')\n",
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"\n",
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"cmd = 'docker version'\n",
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"run_command()"
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],
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"metadata": {
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"azdata_cell_guid": "6196300e-f896-489b-8dca-b2c42eda2d6d",
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"tags": [
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"hide_input"
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],
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"language": "python"
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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"source": [
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"### List existing containers\n",
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"You can view the ports that have been used by existing containers"
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],
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"metadata": {
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"azdata_cell_guid": "87b07614-d57d-4731-ac3e-a8b324d231f2"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"cmd = f'docker ps -a'\n",
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"run_command()"
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],
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"metadata": {
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"azdata_cell_guid": "26170d1b-4332-4383-bcc4-1d97030daffc",
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"tags": [
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"hide_input"
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],
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"language": "python"
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Required information"
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],
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"metadata": {
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"azdata_cell_guid": "52b1faf2-d7c7-446b-ba0b-4f8b744da0bb"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"env_var_flag = \"AZDATA_NB_VAR_DOCKER_PASSWORD\" in os.environ\n",
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"password_name = 'SQL Server sa account password'\n",
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"if env_var_flag:\n",
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" sql_password = os.environ[\"AZDATA_NB_VAR_DOCKER_PASSWORD\"]\n",
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" sql_port = os.environ[\"AZDATA_NB_VAR_DOCKER_PORT\"]\n",
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"else:\n",
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" sql_password = getpass.getpass(prompt = password_name)\n",
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" password_confirm = getpass.getpass(prompt = f'Confirm {password_name}')\n",
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" if sql_password != password_confirm:\n",
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" raise SystemExit(f'{password_name} does not match the confirmation password.')\n",
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" sql_port = input('SQL Server port, default value is 1433')\n",
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" if len(sql_port) == 0:\n",
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" sql_port = '1433'\n",
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"print(f'{password_name}: ******')\n",
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"print(f'Port: {sql_port}')"
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],
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"metadata": {
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"azdata_cell_guid": "93cb0147-7bf6-4630-b796-3811dfd1354b",
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"tags": [
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"hide_input"
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],
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"language": "python"
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Pull the container image"
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],
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"metadata": {
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"azdata_cell_guid": "643ccaca-fd1d-4482-b81e-aee29b627e34"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"cmd = f'docker pull mcr.microsoft.com/mssql/server:2019-latest'\n",
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"run_command()"
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],
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"metadata": {
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"azdata_cell_guid": "7b102447-3198-488f-a995-982ae1fc8555",
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"tags": [
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"hide_input"
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],
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"language": "python"
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Start a new container"
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],
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"metadata": {
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"azdata_cell_guid": "a4527a5f-c2c5-4f60-bfd1-b119576178c5"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"if env_var_flag:\n",
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" container_name = os.environ[\"AZDATA_NB_VAR_DOCKER_CONTAINER_NAME\"]\n",
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"else:\n",
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" container_name = 'sql2019-' + time.strftime(\"%Y%m%d%H%M%S\", time.localtime())\n",
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"print('New container name: ' + container_name)\n",
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"\n",
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"template = Template(f'docker run -e ACCEPT_EULA=Y -e \"SA_PASSWORD=$password\" -p {sql_port}:1433 --name {container_name} -d mcr.microsoft.com/mssql/server:2019-latest')\n",
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"cmd = template.substitute(password=sql_password)\n",
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"run_command(template.substitute(password='******'))"
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],
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"metadata": {
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"azdata_cell_guid": "82f27460-88eb-4484-92ee-40305e650d70",
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"tags": [
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"hide_input"
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],
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"language": "python"
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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"source": [
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"### List all the containers"
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],
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"metadata": {
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"azdata_cell_guid": "e267aa7d-dd22-43ac-9b03-cf282ef15f67"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"cmd = f'docker ps -a'\n",
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"run_command()"
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],
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"metadata": {
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"azdata_cell_guid": "211ee198-f1d1-4781-9daa-8497c2665de6",
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"tags": [
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"hide_input"
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],
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"language": "python"
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Connect to SQL Server in Azure Data Studio\n",
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"It might take a couple minutes for SQL Server to launch"
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],
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"metadata": {
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"azdata_cell_guid": "5f5860c4-7962-439e-a15b-7f24f504dc18"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"from IPython.display import *\n",
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"connectionParameter = '{\"serverName\":\"localhost,' + sql_port + '\",\"providerName\":\"MSSQL\",\"authenticationType\":\"SqlLogin\",\"userName\":\"sa\",\"password\":' + json.dumps(sql_password) + ',\"options\": {\"trustServerCertificate\":true}}'\n",
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"display(HTML('<br/><a href=\"command:azdata.connect?' + html.escape(connectionParameter)+'\"><font size=\"3\">Click here to connect to SQL Server</font></a><br/>'))\n",
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"display(HTML('<br/><span style=\"color:red\"><font size=\"2\">NOTE: The SQL Server password is included in this link, you may want to clear the results of this code cell before saving the notebook.</font></span>'))"
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],
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"metadata": {
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"azdata_cell_guid": "4bc64915-c5ae-4507-8fb0-9e413ccc2fd0",
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"tags": [
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"hide_input"
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],
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"language": "python"
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Stop and remove the container"
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],
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"metadata": {
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"azdata_cell_guid": "9a1039fa-fdd3-408b-b649-8fde0fcee660"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"stop_container_command = f'docker stop {container_name}'\n",
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"remove_container_command = f'docker rm {container_name}'\n",
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"display(HTML(\"Use this link to: <a href=\\\"command:workbench.action.terminal.focus\\\">open the terminal window in Azure Data Studio</a> and use the links below to paste the command to the terminal.\"))\n",
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"display(HTML(\"Stop the container: <a href=\\\"command:workbench.action.terminal.sendSequence?%7B%22text%22%3A%22\"+stop_container_command.replace(\" \",\"%20\")+\"%22%7D\\\">\" + stop_container_command + \"</a>\"))\n",
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"display(HTML(\"Remove the container: <a href=\\\"command:workbench.action.terminal.sendSequence?%7B%22text%22%3A%22\"+remove_container_command.replace(\" \",\"%20\")+\"%22%7D\\\">\" + remove_container_command + \"</a>\"))"
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],
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"metadata": {
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"azdata_cell_guid": "f9e0f1ad-ba6e-4c17-84ea-cc5dceb1289b",
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"tags": [
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"hide_input"
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],
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"language": "python"
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},
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"outputs": [],
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"execution_count": null
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}
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]
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} |