5/27/2023 0 Comments Azure data studio extensions![]() ![]() For this example, I have some documentation around the code. You can create Notebooks for a run book, troubleshooting, analysis, etc. You can see the missing index query in GitHub. I deleted some indexes in Adventure works to generate some output. The code examples below are available in GitHub AzureDataStudioExamples. Microsoft also provides trouble shooting notebooks with executable code. Having SQL, Python, and Powershell up in a single tool is a big step for SQL DBAs and data engineers. Requests have been made to allow switching of languages in a notebook ala Databricks. You can also use SQL and PowerShell notebooks.Ĭurrently you can only use one kernel per notebook. You can create notebooks with code and text (Markdown) to better document and separate sections of your code. Popular with Python and data science developers. This is reason enough to start working inside Azure Data Studio. You can now use Jupyter notebooks in Azure Data Studio. The explain button on the menu bar gives you quick access to the query plan. Check the box for Use first column as row label. Hit the chart icon and turn your grid into a chart. The last two are for charts and an extension called SandDance Visualizer. Want to export to different formats? The buttons on the right will export to CSV, Excel, JSON, and XML. You can copy and paste in Excel or go thru the menu options to export to a file. Here is the SSMS output everyone is familiar with. We run a simple query against World Wide Importers SELECT year() as Year, Now let us get to some features that will make your life easier. You can look through the extensions and try some that apply to your work. The icons down the left are for Servers, Search, Notebooks, Explorer, Source Control, and Extensions. In any case, there are also T-SQL options that allow you to view the history of all jobs, such as the sp_help_jobhistory stored procedure, and the sysjobhistory table in the msdb database.Enter in the connection details when prompted. That said, the development team are continuing to add functionality to this extension, so perhaps that’s something we might see in the future? Or by the time you’re reading this, perhaps it’s already implemented? You need to go into each job individually to view its history. You can click on each item in the left history pane to display that item’s details in the right pane.Īs of this writing, there doesn’t appear to be a way to pull up the history of all jobs at once using this extension. Here’s an example of what it looks like when I click on one of the above jobs: You can click on any job in this list to view its history. This opens the SQL Server Agent screen, where you can manage the SQL Server Agent jobs on the server: That opens the management Home screen for the server:įrom there, we can see the SQL Agent option. When you have the servers showing in the left pane, right-click on a server’s name to bring up the contextual menu: Now that the SQL Server Agent extension has been installed, we can go ahead and get the history of SQL Server Agent jobs.Īs mentioned, you can use the extension from the Manage tab of a server. This should filter the extensions to just the SQL Server Agent, like this:Ĭlick Install to install the extension. Now enter sql server agent (or even just agent) into the search box at the top. To install the extension, open the Extensions pane: Viewing job history is exactly what we’re trying to do here, so let’s go ahead and install the extension. This extension enables you to do stuff like create SQL Server Agent jobs, view jobs, view job history, stop/start jobs, etc. The key to being able to view job history in Azure Data Studio is the SQL Server Agent extension. If you don’t already have Azure Data Studio, here’s how to install it on a Mac, Red Hat, and Ubuntu 18.04 and Ubuntu 20.04.Īs for Windows, Azure Data Studio is now included when you download and install SSMS. Obviously, you will need to have Azure Data Studio installed on your computer. This article shows you how to view the history of a SQL Server Agent job in Azure Data Studio. ![]()
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