The Azure Data Studio team made a decision which I think is the right one: external tables are just tables. If you are primarily focused on PolyBase, there’s nothing in that list which pushes me to say that you absolutely need SSMS. SQL Server Management Studio does have some PolyBase-related functionality: you can see external tables in their own folder you can right-click and get templates for new external data sources, file formats, and tables and you can see the members of your PolyBase Scale-Out Group. The ability for me to give a native Linux or Mac user a useful platform helps with bringing them into the fold. And on many of those platforms, Windows is a second-class citizen. One of the main use cases for PolyBase is to integrate with all kinds of data sources, including Hadoop, Oracle, Teradata, and the like. Those timings, however, might well show up. A screenshot I guarantee you’ll never see in the book. Because I don’t plan to go into much detail on why in the book (after all, the book is about PolyBase, not SQL Server clients), I wanted to take a little time and walk through some of my reasoning for this. I guess that before you start work with this nice tool you probably want to move registered servers from SSMS into Azure Data Studio.As I work on PolyBase Revealed, I made a conscious decision to prefer Azure Data Studio for my demos over SQL Server Management Studio. Moreover, this tool and its extensions are continuously improving, so we can expect increase of feature. But there are several reasons to use Azure Data Studio because it may be useful when you use different OS then Windows need make quick data visualizations want to have one tool for running you code. It does not have such things like Actual Plan, Security management, different kind of Wizards. I don’t think that ADT will replace SSMS, at least in first near future. Lets take same query from previous example and execute it, but this time query top 100 objects. One of extensions is SandData which allows to quick visualize query data. Extensions does not need any additional pre-configuration. ExtensionsĪzure Data Studio toolbox can be powered by many different extensions which simplify daily work. Now when double click on database should get something like this 6. We have got JSON code which can be pasted into Manage -> Settings -> Data -> Dashboard -> Database:Widgets -> Edit in settings.json. On chart tab choose “Horizontal bar” as chart type “Vertical” for data direction mark “Use column names as labels”. WHERE sys.dm_db_partition_stats.object_id = _id SELECT top 20, SUM(reserved_page_count) * 8.0 / 1024 as SizeMBįROM sys.dm_db_partition_stats, sys.objects This particular query selects top 10 biggest database objects by size. Why not to add some custom chart here? First of all, write and run your query. Customizable dashboardsīy double click on server or database in ADT you may see some predefined dashboards. After adding changes to code you can either publish them straight to database or just generate script. For instance, you can store database definition code in GIT project. ADT in this case is way to go, because have good integration with version control. Second feature is the one which allows to check any object definition on the go in code.įor those who are not DBA (as i am) would be interesting to store and deploy code in GIT. This is very useful, for instance, when you want drop database, but can not remember definition (do not drop any production db here). First one, gives templates and hints for working with database objects. That is where IntelliSense and Peek Definition comes into play. When you as DBA want to quickly write some T-SQL code it is not always easy to remember syntax and table definition from heart. Just try this one out – copy this article into ADT notebook. You can even copy full article from internet and paste it with all formatting into notebook. Third example – make impressive presentation with notebooks. You prepare notebook and ask client to run it on his environment (where you do not have access) and save results in notebook to send it back to you. Second example – Run queries on foreign environment :). You can even easily transform your existing code into well formatted notebook with pictures and text – just click “Export as Notebook”. Since PowerShell is supported you are almost fully covered. Required steps can be powered by pictures and code. Power of notebooks can be useful in several cases.įor instance – notebooks can be used as instructions for disaster recovery (DR). But don’t forget about markdown language. You dont like how it looks? No problem, just switch to “Split View” and edit text in HTML way. Notebooks are formatted text and code blocks which can be formatted as you wish. In my opinion, this is one of the most powerful feature.
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