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Installing and Using Microsoft SQL Server on Linux (Docker)

Starting with SQL Server 2017, MSSQL professionals can take advantage of the benefits of containerization. Whether we're looking to consolidate several workloads onto a single server or just want a means of delivering consistent environments to our developers, deploying SQL Server via containers may be the solution we're looking for. In this hands-on lab we utilize Docker to work with the latest SQL Server 2017 image. Basic knowledge of Docker and Microsoft SQL Server are recommended.

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Path Info

Level
Clock icon Beginner
Duration
Clock icon 30m
Published
Clock icon Jul 26, 2019

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Table of Contents

  1. Challenge

    Pull the SQL Server 2017 Linux Container Image

    1. Pull the latest SQL Server 2017 image from Microsoft Container Registry:

       sudo docker pull mcr.microsoft.com/mssql/server:2017-latest
      
  2. Challenge

    Run the SQL Server 2017 Image

    1. Run the container using the following command. Set the SA password to anything, being careful to follow the SQL Server default password policy. By default, this creates a container running Developer edition.

      sudo docker run -e 'ACCEPT_EULA=Y' -e 'SA_PASSWORD=AwesomePassword!' 
      -p 1433:1433 --name sql1 
      -d mcr.microsoft.com/mssql/server:2017-latest
      
    2. Verify the container is running.

       sudo docker ps -a
      
  3. Challenge

    Connect To and Administer the Container

    1. Start an interactive bash shell inside the SQL Server container, using the name specified at creation.

      sudo docker exec -it sql1 "bash"
      
    2. Once inside, connect locally using SQLCMD. We must use the full path as SQLCMD is not in the path by default.

       /opt/mssql-tools/bin/sqlcmd -S localhost -U SA -P 'AwesomePassword!'
      
    3. Create a new database for our flagship application.

       CREATE DATABASE AwesomeCompany;
       go
      
    4. Verify this database now exists.

       SELECT Name from sys.Databases;
       go
      
    5. Create a login the application can use to connect.

       CREATE LOGIN AwesomeLogin WITH PASSWORD = 'AwesomePassword!';
       go
      
    6. Create a user for the new database and associate it with the login.

       USE AwesomeCompany;
       go
       CREATE USER AwesomeUser FOR LOGIN AwesomeLogin;
       go
      
    7. Give the new user permission to manage the database.

       exec sp_addrolemember 'db_owner', 'AwesomeUser';
       go
      
  4. Challenge

    Verify Your Application Can Connect and Manage the Image

    1. Exit out of SQLCMD. quit

    2. Connect using the new login.

       /opt/mssql-tools/bin/sqlcmd -S localhost -U AwesomeLogin -P 'AwesomePassword!'
      
    3. Create a table and insert values into the new database. USE AwesomeCompany; go CREATE TABLE Inventory (id INT, name NVARCHAR(50), quantity INT) INSERT INTO Inventory VALUES (1, 'widget', 100); go

    4. Select data from the new table.

       SELECT * FROM Inventory;
       go
      

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

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