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Years ago when I switched from Windows to Mac, people have told me regularily that I’m crazy. How can I be that stupid to work on MacOS when I’m dependent on SQL Server? In my case it wasn’t that terrible, because my main work is about content creation (writing blog postings, articles, presentations, training videos) and very often I was only connecting through a RDP connection to a remote SQL Server. Therefore running natively on MacOS was not a big deal for me, and for the last resort I always have a Windows VM which runs in VMware Fusion on my Mac.
But since the introduction of the Container concept through Docker and the possibility to run SQL Server directly in a Container, my life was changing even better. Because now I can run SQL Server 2017+ directly on my Mac and I even don’t really need a Windows VM anymore. In this blog posting I want to show you how you can do the same and run SQL Server directly on your Mac in a Docker container.
We are excited to announce that SQL Operations Studio is now available in preview. SQL Operations Studio is a free, light-weight tool for modern database development and operations for SQL Server on Windows, Linux and Docker, Azure SQL Database and Azure SQL Data Warehouse on Windows, Mac or Linux machines.
Installing SQL Server in a Docker Container
- Step 2: Install Valentina Studio. If you’re a Windows user switching to Mac, I’m sure you’re quite used to the popular SQL Server Management Studio available for Windows as a GUI management.
- EMS SQL Management Studio for SQL Server The product comes from SQL Manager.net and they provide Free and full version. The free version is limited though, but at least the export is not limited as much as the product from Devart.
- You can grab a Azure trial and setup an SQL Server instance. Azure also provides a web based query interface. You could also setup a Amazon RDS free account and create an SQL Server instance. If you need an MSSQL database client which runs on OS X (similar to SSMS) there are a few available.
Before you can install SQL Server in a Docker Container on the Mac, you have to install and configure of course Docker itself. I don’t want to go into the details how to install Docker itself, because the necessary steps are very well documented.
Before you can create a Docker Container for SQL Server, you have to pull the correct Docker Image from the Docker Registry. In my case I have decided to try out the latest CTP version of SQL Server 2019:
docker pull mcr.microsoft.com/mssql/server:2019-CTP2.1-ubuntu
![Free sql server for mac Free sql server for mac](/uploads/1/2/4/8/124812275/328510273.jpg)
When you have pulled the image, you can see it with the docker images command in your Terminal:
You can think about a Docker Image like an ISO file: it’s just an image, and you can’t run it directly, because you have to install it. Therefore we also have to “install” the pulled Docker Image. In Docker you can “install” an image by running it. And that creates the actual Docker Container, which is finally the exectuable that you are executing. Let’s run our Docker Image with the docker run command:
docker run -e ‘ACCEPT_EULA=Y’ -e ‘SA_PASSWORD=passw0rd1!’ -p 1433:1433 –name sql2019_ctp2 -d mcr.microsoft.com/mssql/server:vNext-CTP2.0-ubuntu
As you can see from the command line, you have to pass in a lot of different parameters. Let’s have a more detailed look on them:
- -e ‘ACCEPT_EULA=Y’
- With the -e option you set an environment variable, on which SQL Server is dependent on. In our case we have to accept the EULA to be able to use SQL Server.
- -e ‘SA_PASSWORD=passw0rd1!‘
- With the SA_PASSWORD environment variable we set the password for the SA login.
- -p 1433:1433
- With the -p option we bind a port on our host machine (in my case on the Mac) to a port in the Container. The port on the left side of the colon is the port on the host machine, and the port on the right side of the colon is the port in the Container. In my case I bind the default SQL Server port of 1433 within the Container to the port 1433 on my Mac.
- Therefore I can directly access the exposed SQL Server Container through the IP address of my Mac on the network. If you have multiple SQL Server Containers, you can also bind them to different ports on your host machine to access them independently from each other.
- –name
- With the –name option we assign a custom name to our Docker Container.
- -d
- And with the -d option we specify the Docker Image that we have pulled previously, and that you want to run the Docker Container detached from the Terminal. This just means that you can close your Terminal, and your Docker Container is still running in the background.
After you have executed that Docker command, your Docker Container is up and running.
Accessing SQL Server on a Mac
We have now 2019 up and running in a Docker Container. But how do we access SQL Server? Of course, I can start up a Windows VM, and use SQL Server Management Studio to access SQL Server. But then I’m again dependent on a Windows VM, which also needs periodically updates, and it would be also a huge overhead to deploy a whole Windows VM just for SQL Server Management Studio…
Therefore let’s introduce Azure Data Studio! Azure Data Studio was formerly known as SQL Operations Studio and it is a client application with which you can manage SQL Server – natively on Windows, Linux, and Mac!!!
As you can see from the previous picture, I have connected here directly to localhost, because in the last step we have exposed the port 1433 of the Docker Container to our host machine. Don’t get me wrong: compared to SQL Server Management Studio, Azure Data Studio is “nice” but… ?
But hey, I can run it directly on my Mac (without the need of a Windows VM), I can run SQL statements, I have access to Estimated and Actual Execution Plans, and very importantly – it’s extensible. What do I need more? For the kind of work that I’m doing, it’s enough.
Restoring your first Database
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When you look back to the previous picture, you can see that you got a vanilla installation of SQL Server 2019. There are our system databases, the crazy default settings, and that’s it. There are of course currently no other database. So you have to create your own databases, or you take an existing database (maybe from a Windows-based SQL Server installation) and you restore it in your Docker Container. Let’s do that now.
In my case I want to show you now the necessary steps how to restore AdventureWorks in the Docker Container. First of all you have to copy your backup file into the Docker Container. But you can’t do a regular cp command from the Terminal, because that command has no idea about your Docker Container. Acdsee photo studio for mac. Makes somehow sense…
Therefore your Docker installation offers you the command cp with which you can copy a local file into a Docker Container and vice versa. Let’s take now our backup of AdventureWorks and copy it into the folder /var/backups of our Docker Container:
![Sql Server Management Studio For Mac Free Sql Server Management Studio For Mac Free](/uploads/1/2/4/8/124812275/965744866.png)
docker cp AdventureWorks2014.bak sql2019_ctp2:/var/backups/AdventureWorks2014.bak
After you have copied the backup file, we can now restore the database. But the destination folders are different as on a Windows-based SQL Server installation, therefore we also have to move our data and log files. Therefore I have executed in the first step the following command to get the logical file names of our database backup.
RESTORE FILELISTONLY FROM DISK = ‘/var/backups/AdventureWorks2014.bak’
And based on that information, let’s perform now the restore of our database.
RESTORE DATABASE AdventureWorks2014 FROM DISK = ‘/var/backups/AdventureWorks2014.bak’
WITH
MOVE ‘AdventureWorks2014_Data’ TO ‘/var/opt/mssql/data/Adventureworks2014.mdf’,
MOVE ‘AdventureWorks2014_Log’ TO ‘/var/opt/mssql/data/Adventureworks2014.ldf’
As you can see I’m moving the data and log files into the folder /var/opt/mssql/data. And now we have our AdventureWorks database restored in our Docker Container.
When you are finished with your work in your Docker Container, you can stop the Container with the following command:
docker stop sql2019_ctp2
And with a docker start command, you can restart your Container again:
docker start sql2019_ctp2
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In that case, all the changes that you have done in your Docker Container (like restoring the AdventureWorks database), are persisted across restarts.
Summary
Running SQL Server natively on a Mac or on Linux was always a huge April fool. But with the introduction of Docker, and the SQL Server support for it, it’s now real. You can now run natively SQL Server on the Mac, and with the help of Azure Data Studio you can even access SQL Server with a native MacOS application. We have really exiting times ahead of us!
Microsoft Sql Server Management Studio Mac
Thanks for your time,
-Klaus
UPDATE: SQL Operations Studio is now GA and renamed to Azure Data Studio. For the most up to date information please visit our monthly Azure Data Studio blog post and download and install the latest release here.
We are excited to announce that SQL Operations Studio is now available in preview. SQL Operations Studio is a free, light-weight tool for modern database development and operations for SQL Server on Windows, Linux and Docker, Azure SQL Database and Azure SQL Data Warehouse on Windows, Mac or Linux machines.
Download SQL Operations Studio to get started.
It’s easy to connect to Microsoft SQL Server with SQL Operations Studio and perform routine database operations—overall lowering the learning curve for non-professional database administrators who have responsibility for maintaining their organization’s SQL-based data assets.
As more organizations adopt DevOps for application lifecycle management, developers and other non-professional database administrators find themselves taking responsibility for developing and operating databases. These individuals often do not have time to learn the intricacies of their database environment, making hard to perform even the most routine tasks. Microsoft SQL Operations Studio takes a prescriptive approach to performing routine tasks, allowing users to get tasks done fast while continuing to learn on the job.
Users can leverage their favorite command line tools (e.g. Bash, PowerShell, sqlcmd, bcp and ssh) in the integrated terminal window right within the SQL Operations Studio user interface. They can easily generate and execute CREATE and INSERT scripts for SQL database objects to create copies of their database for development or testing purposes. Database developers can increase their productivity with smart T-SQL code snippets and rich graphical experiences to create new databases and database objects (such as tables, views, stored procedures, users, logins, roles, etc.) or to update existing database objects. They also have the ability to create rich customizable dashboards to monitor and quickly detect performance bottlenecks in your SQL databases on-premises or in Azure.
SQL Operations Studio comes at an opportune time for users who use clients running macOS or Linux. Many users who use or plan to deploy SQL Server 2017, which became generally available in September 2017, also use Macs as their clients. They will now be able to use a free database development and operations tool from Microsoft that runs natively on their OS of choice.
Download Sql Server Management Studio
SQL Operations Studio has been forked from Visual Studio Code with the objective to make it highly extensible. It’s built on an extensible microservices architecture and includes the SQL tools service built on .NET Core. Users will be able to download it from GitHub or Microsoft.
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Eric Kang has done some great overview videos. Check out the latest one on Channel 9, below, or attend one of the Connect() pre-recorded sessions going on this week.
We hope you love this new tool. It’s received great reviews from the community testing it in private beta and, with your feedback, we can make it even better. Join us in improving SQL Operations Studio by contributing directly at the GitHub repo.
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If you have questions or would like to add comments, please use the comments section below. We would love to hear from you!