https://github.com/microsoft/sqllinuxlabs

Self-paced labs for SQL Server on Linux and Docker Containers
https://github.com/microsoft/sqllinuxlabs

Last synced: 8 days ago
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Self-paced labs for SQL Server on Linux and Docker Containers

• Host: GitHub
• URL: https://github.com/microsoft/sqllinuxlabs
• Owner: microsoft
• License: mit
• Created: 2018-06-19T22:10:01.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-01-16T19:45:28.000Z (11 months ago)
• Last Synced: 2024-08-13T07:16:24.284Z (4 months ago)
• Language: TSQL
• Size: 12.1 MB
• Stars: 63
• Watchers: 15
• Forks: 28
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Security: SECURITY.md

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• jimsghstars - microsoft/sqllinuxlabs - Self-paced labs for SQL Server on Linux and Docker Containers (TSQL)

README

        

# SQL Server Linux and Container Labs

Welcome to self-paced labs to learn SQL Server on Linux and Docker Containers.

To use these self-paced labs you must go through installation of Linux and tools by going through the prelab. Follow the instruction in the readme.md in the [**prelab**](https://github.com/Microsoft/sqllinuxlabs/tree/master/prelab) folder.

The self-paced labs should be done in the following order. Note the lab on **containers and appcompat** can be done separately after the prelab. The labs on **deploy_and_explore** and **auto_tune** need to be done together and in order.

1. [**prelab**](https://github.com/Microsoft/sqllinuxlabs/tree/master/prelab)

    The prelab involves installing an Azure Virtual Machine with Red Hat Enterprise Linux and tools for your laptop to complete the rest of the labs.

2. [**deploy_and_explore**](https://github.com/Microsoft/sqllinuxlabs/tree/master/deploy_and_explore)

    In this lab you will learn how to deploy SQL Server, explore files from the SQL Installation, explore various common Linux commands and the bash shell, and perform basic tests to connect to SQL Server on Linux.

3. [**auto_tune**](https://github.com/Microsoft/sqllinuxlabs/tree/master/auto_tune)

    In this lab you will learn how to observe the Automatic Tuning Feature of SQL Server using SQL Operations Studio. You will learn basics of how to use SQL Operations Studio while understanding how Automatic Tuning can help customers resolve query plan regression problems.

4. [**containers and appcompat**](https://github.com/Microsoft/sqllinuxlabs/tree/master/containers)

    In this lab you will learn the basics of SQL Server with docker containers. Then you will apply these skills to deploy an ASP.Net application using containers. This application uses SQL Server engine features that apply across both SQL Server on Windows and Linux.

# Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a

Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us

the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide

a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions

provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).

For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or

contact [[email protected]](mailto:[email protected]) with any additional questions or comments.