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.

You should now have SQL Server running on your Mac, ready for action! A few notes on Docker parameters-d. You can start by creating a backup of your existing database using SQL Server Management Studio running on your Windows PC/Server. Generate a backup file. Right-click on your database.

We are excited to announce the July release of SQL Operations Studio is now available.

1. SQLPro Studio is the premium database management tool for Postgres, MySQL, Microsoft Management Studio and Oracle databases. Some of the great features include: + Intellisense/SQL autocompletion.
2. This tutorial assumes that you’ve installed SQL Server on your Mac using a Docker container, and you’ve installed SQL Operations Studio. I should point out that, even though the examples on this page were done on a Mac, all steps should work on both macOS and Linux.

Download SQL Operations Studio and review the Release Notes to get started.

SQL Operations Studio is a data management tool that enables you to work with SQL Server, Azure SQL DB and SQL DW from Windows, macOS, and Linux. To learn more, visit our GitHub.

SQL Operations Studio was announced for Public Preview on November 15th at Connect(), and this June release is the eighth major update since the announcement. If you missed it, the June release announcement is available here.

Highlights for this release include the following.

• SQL Server Agent preview extension Job configuration support
• SQL Server Profiler preview extension Improvements
• Combine Scripts Extension
• Wizard and Dialog Extensibility
• Social content
• Fix GitHub Issues

For complete updates, refer to the Release Notes.

SQL Server Agent configuration

As part of our story of bringing over SSMS features and improving user experience, we are excited to introduce SQL Agent configuration support.

Summary of changes include:

• Added view of Alerts, Operators, and Proxies and icons on left pane
• Added dialogs for New Job, New Job Step, New Alert, and New Operator
• Added Delete Job, Delete Alert, and Delete Operator (right-click)
• Added Previous Runs visualization
• Added Filters for each column name

In addition to jobs, users can now view Alerts, Operators, and Proxies through the icons on the left pane as demonstrated in the gif above.

We also made several improvements for the Job View. Previous Runs visualization can now be seen so that a user can quickly see a job’s history of past runs if they passed or failed.

This release also made it easier to find specific jobs in a large list of jobs. Imagine you had a list of 100+ jobs and you only wanted to see the failed jobs? Now you can by checking out the gif below using the filter column option.

With all the improvements in Views, we have added new dialogs so that users can now add Jobs, Alerts, and Operators without having to go to SSMS. To open each dialog, click New Job above each respective view.

For all the SQL Agent enthusiasts out there, we would love for you to try out the new SQL Server Agent experience and let us know what you like and what is still missing for you to use Agent day to day. As part of doing our engineering out in the open, we need your feedback so that we can create experiences that empower you to do your job (pun intended).

To learn more about SQL Server Agent, check out the documentation.

SQL Server Profiler improvements

With the release of SQL Server Profiler extension last month, our team has been working hard on improvements, especially making launching Profiler quickly.

Summary of changes include:

• Added Hotkeys to quickly launch and start/stop Profiler
• Added 5 Default Templates to view Extended Events
• Added Server/Database connection name
• Added support for Azure SQL Database instances
• Added suggestion to exit Profiler when the tab is closed and Profiler is still running

As seen in this gif, you can quickly get Profiler open after making a server/database connection. With this release, we added Keyboard Shortcuts to Launch Profiler (Windows: Alt + P Mac: Ctrl+ALT+P) and Start/Stop Profiler (Windows: Alt + S Mac: Ctrl+ALT+S). From our user survey, the highest priority for users is to be able to start Profiling as quickly as possible. Now with two keyboard strokes, you can start Profiler.

In addition, Profiler now has added Default templates for five different views: Standard, TSQL, Tuning, TSQL_Locks, and TSQL_Duration. When you click on each one, a different list of columns will generate in your Profiler view so that you can focus on the areas that you are investigating. At the moment, it will reset the view each time.

In addition, each Profiler tab will show the server/database the Profiler instance is connected to. You can see the name in the top right of the above screenshot, which is localhost/Adventureworks2014.

Please let us know what you think and what you would like to see in Profiler.

Combine Scripts Extension

We have a new community extension published in our Extensions Manager. Created by Cobus Kruger, the Combine Scripts Extension for SQL Operations Studio is now available.

From the extension description: Ever needed to execute several scripts spread over several folders? Now you can select several files and folders, right click and click Combine Scripts, and generate a single combined file to execute or use any way you choose.

For those new to extensions, here are the instructions to access the Extensions Manager and download the Combine Scripts extension. For this extension, in particular, the install button will take you to a download link for the VSIX package. Download the VSIX, and then click File -> Install Extension from VSIX Package.

Dialog and Wizard extensibility

With this release, we are continuing to provide more opportunities for extension authors, which we highly encourage you to participate. The highlight for this release is we have now provided options for extension authors to incorporate Dialogs and Wizards in their extensions.

The differences between using dialogs and wizards are very similar to SSMS. Generally, use Wizards for step-by-step scenarios, and use dialogs for most other cases.

Extension authors can see the full list of Dialog and Wizard API’s.

To see this in action, check out our sample extension that includes this code.

We are excited to see what our extension authors can come up with these new extensibility points. If you aren’t an extension author but have ideas in mind, please feel free to share on Twitter or GitHub Issues.

Social content

Over the past month, we have seen a lot of great content about SQL Operations Studio as we monitored social media. We highly encourage the community that if you love this tool, consider using this tool in demos and blog posts. We will also make sure to share any of your content with the community through our Twitter handle (@sqlopsstudio).

If you would like to use SQL Operations Studio at sessions like SQL Saturdays or PASS Summit, feel free to reach out to our team and we can work with you. If there are any demo blockers, please submit an issue on our GitHub Issues. Our engineers will help unblock your scenarios.

With the launch of the Data Double-Click channel, our Principal PM Lead, Vicky Harp, discussed SQL Operations Studio with Scott Klein. Check out the conversation below.

In addition, Vicky was also interviewed by Joey D’Antoni for Redmond Mag, covering the current state of SQL Server Tools development.

SQL Ops Studio also had a presence at OSCON in Portland this year, where Shayne Boyer shared SQL Operations Studio and mssql-cli.

Fixed GitHub Issues

Here is a summary of issues addressed:

• #728 No response to Add Connection on macOS
• #1718 Unable to connect to any data source
• #1713 Number of rows affected
• #1843 Better Table organization
• #1612 Results grid text display is messed up by international characters
• #1749 BUG: HTML data in a column gets interpreted
• #1830 Setting iconPath in ButtonComponent after component() is called does not change icon
• #1789 Extensibility: if you add a connection provider uninstall will never remove it from the list
• #1799 Top 10 DB Size chart does not work on ccase-sensitive instances
• #1724 Extension dialogs have stopped working
• #1719 TypeError when Connecting to Server
• #1693 Backup dialog: File browser UI is broken
• #1817 Error de Ortografia
• #1791 Sqlops Extensions: queryeditor.connect() connects to the target database, but UI does not show the editor is connected
• #1814 d.ts typo causing implicit ‘any’ type definition

Sqlpro Studio Mac

Contact us

If you have any feature requests or issues, please submit to our GitHub issues page. For any questions, feel free to comment below, message us on Gitter, or tweet us.

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.

Installing SQL Server in a Docker Container

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. https://ubnin.netlify.app/best-recording-studio-software-for-mac.html.

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

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!!!

Fl studio for mac. How can the answer be improved? This is a custom Crossover wrapped version of FL Studio for Mac OS X and so is bit-identical to the Windows installer. NOTE: This is an experimental project and the response from testers will decide if and how we proceed with it.

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

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. 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:

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!

Thanks for your time,

Visual Studio For Mac Sql Server

-Klaus