#Azure data studio export install

The name of the job will be the file name of the notebook. Then navigate to the notebook and select it.Ĭhoose a database for the storage of the template and the results and one for the execution context. This interface will create two tables one to store the templates and one for the results. As a notebook is just a json file, it can be stored in a database table. You can create an Agent Job to run a notebook. Its pretty neat, it has green and red bars against the jobs showing success or failure and the larger the bar the longer the run time. This will open up the server dashboard (why isn’t it instance dashboard?)Īnd you will also have the SQL Agent dashboard available

You can connect to and instance in the connections tab (CTRL + SHIFT + D) and right click on it and click Manage.

#Azure data studio export install

Search in the top bar for Agent and press the install button to install the extension. You can add extra functionality to Azure Data Studio. In Azure Data Studio, if you press CTRL + SHIFT + X it will open the Extensions tab We can run the notebook and get the permissions and save the notebook and the results will be available for all time (unless you delete the notebook!) SQL Agent Extension in Azure Data Studio

I am going to use this one that I created that uses T-SQL to gather permissions using old code that was in a share somewhere. NET interactive notebooks.Īnother thing that you can do with notebooks is run them as Agent Jobs and save the results of the run. I have created a repository in my Github where I have stored a number of Jupyter notebooks both for Azure Data Studio and the new. Jupyter Notebooks are fantastic, you can have words, pictures, code and code results all saved in one document. Azure Data Studio is a great tool for connecting with your data platform whether it is in Azure or on your hardware.