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By: Updated: 2019-04-30 Related: ProblemData Platform developers have been looking for a cross-platform editor that canbe used with any version of SQL Server regardless of where the database engine resides.Azure Data Studio is a relatively. It shares the same graphical user interface, look and feel,with Visual Studio Code. Adoption of this tool is gaining momentum in thedeveloper community.
What features make this tool attractive to coders?The editor offers intellisense for code completion of known database keywordsor database objects. The addition of code snippets allows for re-use of commoncode blocks by the developer.
Of course, source control integration is requiredby developers for controlling a software development life cycle (SDLC). Toround out the features, an integrated terminal allows for the execution of PowerShellor Bash commands when needed.The features that differentiate the tool from SQL Server Management Studio (SSMS)or Visual Studio Database Projects (SSDT) are built in charting of query resultsets and customizable dashboards. Also, the editor can be enhanced with additionalfunctionality by installing published extensions from Microsoft or third-party providers.How can we deploy a T-SQL script to both an on-premises and in-clouddatabase? SolutionAzure Data Studio can be used to deploy an existing T-SQL script to a local databasewithout making changes.
The database server can be hosted on physical hardware,a virtual machine either on premise or in the cloud, or a managed instance.All three choices allow you to easily switch database context using thestatement.For an Azure SQL database, the code that creates the user database must be executedon the master database and the schema specific code can be executed on the userdatabase. Splitting the T-SQL script into two pieces (files) with a modificationto thestatement for service tier makes perfect sense. I leavethis task up to you. Of course, the execution order of the scripts is important.Business ProblemToday, our boss asked us to take a look at the Azure Data Studio editor for thedevelopers on staff.
He wants us to review the main functionality of the tool.A very simple BANKING database schema will be used to test deploymentsto both SQL Server 2019 which resides on-premises and Azure SQL database which existsin the cloud. Installing the editorThere are three install programs that you should download before proceeding.First, the command line version of the Git source control software can be foundat the following web.Second, I do not like using the command line version of Git since I am not familiarwith the syntax. Therefore, the graphical user interface for Git from Tortoiseis a must have utility that can be found. Third,obtain the Azure Data Studio installation program using the following.The image below shows the three install programs saved in the temp directory. The installation of Azure Data Studio is a very simple process.
Rememberto install both Git and Tortoise Git first so that the editor recognizes the factthat version control software is being used. The March release of the productnow has installs for Windows, Mac OS and Linux. Product OverviewThere are seven menu actions (icons) on the left-hand tool bar of the editor.These shortcuts allow quick access to the main functionality of the editor.The main menu at the top of the application has a sub menu named view. Thefollowing snippet from a drop of this menu shows the names of the seven actions.We will be investigating each action for our complete analysis of the tool. Servers MenuThe Azure Data Studio editor can currently connect to Azure SQL Database, SQLServer 201X and PostgreSQL as well as the new SQL Server 2019 Big Data Cluster.Given the different platforms this tool can connect to, it is import to be ableto organize connections into groups. This organization can be performed withinthe SERVERS menu.
Theof this tool has renamed this menu to Connections. Checkout the team blog to keep up with the monthly changes.The image below reflects a new ADS install with no pre-existing servers defined.The three icons to the right of the word SERVERS are shortcuts to actions the usercan perform. First, we can define a new connection to associated with group.Second, we can define a new server group to organize our connections. Third,we can show action connections. Let us define a new server group right now. Many of the actions that can be perform within the ADS editor are accessed byright clicking the right object. We need to have an active connection beforequerying the database.
Either double click the server or right click and chooseconnect. A right click of the connection allows you to launch a new querywindow. By default, we are in the master database since Idid not set this option in the connection dialog box.One way to test our access to the server is execute a querythat returns the current date and time. The snapshot of the tools shows theresult returned by the editor. There are some interesting things that youcan do in the results pane. Saving the returned data to a CSV, EXCEL, JSONor XML format is a simple click of the icons to the right.As a SQL developer, I might have to profile the tables at the start of a newproject since I am not familiar with the data distribution.
This profilingcan easily be done with the new charting icon. There are many chart typesand options that you can use to display your data.
To recap, server groups can be used to organize many connections in meaningfulways. Many of the actions of the editor can be performed by right clickingthe appropriate object.
The results tab of the query editor allows the developerto quickly save and chart result sets. I just covered a small set of the actionsthat can be performed on the database, objects and query result sets.
Task History MenuThe Azure Data Studio editor allows for the backup and restore of local databases.The TASK HISTORY menu displays the actions performed by the tool. I createdtwo test databases on my local SQL Server 2019 machine. The databases arecalled SPORTS and BANKING. After backing up the databases, I can look at thismenu to see the when the actions occurred. A right click of the entry cangenerate a TSQL of the executed action. I want to segregate my LOCAL SQL SERVER and AZURE SQL DATABASE connections.Therefore, I created a new group in green for this new connection. Draggingthe active connection to the new group saves the connection in the right place.The open window below shows the options that are available when managing a AzureSQL Database.Please note, this tool is in active development.
In fact, I know this isan Azure SQL database with a S0 capacity tier. Such an offering does not allowfor a standard backup and restore process. However, the image below showstwo invalid options. I have to say this bug has been fixed in the March release.One interesting thing to note is that all database objects are show in the managedatabase windows. These objects can be filtered by searching by the correctacronym. The 't:' pattern tells the editor to only list tables.
Rightclicking the table allows for the selection of the first 1000 rows, the editingof the top 200 rows or scripting the table out into a new query window. Inshort, there are many short cut actions that I leave for you to explore.
In a nutshell, the Azure menu allows Azure Data Studio to connect and scan forvalid Azure Servers and Databases. Opening a connection to a given Azure databaseallows for the addition of an entry to a favorite server group for quick recall.Explorer MenuThe explorer menu allows for the addition of folders to the existing workspace.The file submenu can be used to manage workspaces, folders and files.
I suggestyou create a workspace for the current project you are working on. In my case,I am going to create a project directory called ' C:ADS'. The table below contains sample scripts to create the BANKING database on a localSQL Server or an Azure SQL Server. ScriptDescriptionCommentsOn-premises version of sample BANKING database.Must change database file locations.Cloud version of sample BANKING database.Must connect to both master and user database.We can double click the file to open and start editing the T-SQL code.If we try to run the script at this point, it will fail to execute. That isbecause we are not connected to any database. The explorer window allows you to create a 1-to-1 relationship between a givenworkspace and a work folder.
Additional folders can only be created underthe main directory.Our boss has asked us to create a sample BANKING database for a local and cloudserver. The creation of the local database is now complete. I leavethe creation of a cloud database as a task for you, the reader to complete. Search MenuThe search menu in Azure Data Studio can be used to look for key words in bothactive windows and the project folder.
Since this feature is straight forwardand not interesting, I am going to show one example of how to search for key words.Create a new query that is not connected to a database. In the examplebelow, I am returning the date and time on the server as a field named MyTime.The Azure Data Studio editor creates the temporary file in the working directory.The search result in the left pane shows one match for the key word. The rightpane highlights the matching word in the opened file. To recap, the Azure Data Studio supports searching for key words in both activewindows and files in the project folder.
Source Control MenuIn today’s agile development environments, it is extremely import to installand configure source control software. The popularity of the GitHub did notgo unnoticed by the Microsoft.
The software giantthe company in June of 2018.For this simple proof of concept, I am going to create a simple repository usingmy personal account JohnMiner3 and a new repository I am callingTIPS2019. I start off the project by creating a simple readme.txtfile. A brief recap of this section shows that the popular GitHub software controlproduct can be easily integrated in Azure Data Studio. The cloning of therepository can’t be accomplished within the tool. Therefore, I usedTortoise Git to perform this one-time action. Extending & Configuring the editorHaving the access to an enhanced editor with additional functionality by installingpublished extensions from Microsoft or third-party providers is a major differentiator.The ' Admin Pack for SQL Server' allows the developer to add, edit,delete and monitor SQL Agent jobs.
In fact, there are three more featuresthat I will not be covering. The image below shows the installation of thisextension. The main take away from this section is that the editor can be enhanced by installingextensions from Microsoft or third-party providers. If you are tired of theblack and white color scheme of SQL Server Management Studio, you will be pleasedwith the color themes that are part of the editor. Wrapping up the reviewOur boss asked us to create a sample database that is located both on premiseand in the cloud. The second task has not been completed yet.
The screenshot below shows the creation of a BANKING database on thesvr4tips19prd.database.windows.net server in Azure. Thisscript is being executed from the master database. In summary, we have completed a full high-level overview of the Azure Data Studioeditor for our boss. SummaryAzure Data Studio shares the same graphical user interface, look and feel, withAzure Studio Code. Adoption of this tool is gaining momentum in the developercommunity since it is a cross platform and cross database editor. If you spendmost of your time as a SQL Developer, you might like using this tool.
If youspend a lot of time managing other products such as Integration Services, ReportingServices or Analysis Services, then Visual Studio with SSDT extensions and/or SQLServer Management Studio might be a better fit.What features does Azure Data Studio lack that other tools might have?I really like the desired state design principle that is used with Visual Studiodatabase projects. I do not have to worry about how a field added to the middleof a table will be implemented. The deployment wizard automatically takescare of the required steps. Therefore, unless you are a SQL Package expert,you might end up going back to the old school pattern of recreating the databaseobject every time you execute your script. This pattern is great during initialdevelopment but a real danger for an existing system with production data.Another new feature of the ADS editor is SQL notebooks.
This functionalitywas initially added to support the new SQL Server 2019 Big Data clusters.I think it is kind of neat that a notebook can execute TSQL code. However,the retention of variables and temporary tables between cells does not exist.Therefore, you do not get the same experience that you are used to with Python scripts.Also, there is a real danger of saving query results in the notebook. A keyfeature of every database is security and this notebook feature invalidates thatfeature.My opinion is that Azure Data Studio is a good tool right now, but might be agreat tool in the future. I will not be changing over to this editor untilmore features from Visual Studio are incorporated.
The ability for continuousintegration and continuous deployment is a key requirement for me.Please see the currentfor details andpage for recent changes to the Azure Data Studio. Next Steps. Check out these additional resources.Last Updated: 2019-04-30.
Monday, January 13, 2020 - 3:19:05 PM - KrishnaSounds like unlike SQL Server Management Studio (SSMS), Azure Data Studio (ADS) does not look for all open ports on the SQL Server you try to connect to. For example, if the SQL Server is listening on standard port 1433, both SSMS and ADS will connect to it fine, however, if the SQL Server is running on a non-standard port, e.g., 7079, 49825 or 64929, then SSMS will still connect fine but ADS will throw an error such as provider: TCP Provider, error: 40 - Could not open a connection to SQL Server.In case that happens, unfortunately, you have to know the port number the SQL Server is listening on, to be able to connect to it from ADS. Use the following SQL to identify the ports that the SQL server is listening to (I know it's stupid, but this seems to be the only way, today):SELECT DISTINCTlocaltcpportFROM sys.dmexecconnectionsWHERE localtcpport IS NOT NULLThen in the Connections window of ADS, specify the database server name followed by a comma and port-number, e.g., sqlserver01, 49825. Alternative is to specify the database server name with the physical servername prefix and using the active node, e.g., sqlhost33sqlserver01a.Hope this helps in case you run into connection errors.Tuesday, June 11, 2019 - 7:05:50 AM - Jeffry AntoWonderful post found it really usefull!