![]() ![]() Microsoft introduced this feature a long time ago in SQL Server 2008. Installing the Central Management Servers Extension Firstly, you will need 2 or 3 SQL Server instances installed.In this article, we will install the Azure Data Studio extension, create some groups, Add SQL Servers and run a query into multiple servers at the same time. That is why using a CMS can simplify your maintenance job. If we work with several SQL Servers at the same time, we sometimes need to run queries to all of them and running queries will take a lot of time. This extension allows adding servers in groups in order to run a query in multiple SQL Server at the same time. One of these is the Central Management Servers (CMS) extension. The settings are saved in JSON format, which is nice and easy to work with as a key:value pair.The Azure Data Studio comes with a lot of extensions. Your settings file is stored if your local roaming application data folder ( C:\Users\\AppData\Roaming\sqlops\User ) when you first run the application. Anything additional just gets added, since it won’t technically override anything. ![]() Essentially, if you want to override a setting, you find it in the left panel, and copy/paste it into your settings, which trumps the defaults. In this shell, just like VS Code, when you want to change or add a setting, you don’t do it in the defaults, you set them in your personal settings file, which is the panel on the right. What’s that, you can’t? That’s on porpoise. The panel on the left is the default settings for the application. When you do, after a fresh install, you should see something that looks like this: To pull up your settings, either click “File -> Preferences -> Settings” or use Control-Comma (,) on your keyboard (Note: keyboard shortcuts are king in both VS Code and SQL Ops Studio, I’d recommend practicing). Like I mentioned in my last post, changing settings in Azure Data Studio requires you to modify a text file. Spoiler alert, we’re going to use PowerShell. Buckle up, because this involves a little knowledge of how settings are saved in Azure Data Studio, and how we can quickly get saved connection information out of SSMS and into your new application. But there’s a better way: you can import all that saved information right into Azure Data Studio, and it’s pretty painless, too. You’d be in for a lot of manual clicking and typing of connections if you have a lot of saved connections. One barrier to entry is that the initial setup can be a little daunting, especially if you use a local connection groups or central management servers to keep track of registered connections in SQL Server Management Studio. It’s too early to write it off, but at the same time, you can’t go whole-hog using it either. I’m sure that with enough community engagement, it’ll continue to evolve. ![]() So much to explore and learn! Not yet, though there’s still a lot to work out, like the fact that it can’t give you actual execution plans (just estimates) and other things. There’s built in source control and support for extensions. ![]() It’s a smaller install, it’s pretty snappy, and the interface is way cleaner and easier to manage (and officially supports dark themes). Much like I tell people writing PowerShell to switch from the PowerShell ISE to VS Code, I’ll probably eventually push people towards this application. I view the preview as a furnace, where a new developer or management interface for SQL Server will eventually be forged. After downloading the preview and poking around, I’m pretty excited for what this application can (and eventually) do. In case you didn’t notice, I’m already in love with SQL Operations Studio Azure Data Studio. ![]()
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