Ssdt In Visual Studio

SQL Server Data Tools (SSDT) SQL Projects offer excellent functionality to relieve developers of the mundane, manual tasks involved with maintaining databases. If your company licenses Visual Studio 2010 or 2012 Professional or greater, you have the ability to create Visual Studio SSDT SQL Projects. With Visual Studio 2019, the delivery model for SSDT has changed. In short, you don't have to install any additional tools other than to first select the Data storage and processing workload from the Visual Studio Installer before you create a database project. SSDT will install on its own a Visual Studio Shell which contains all that is needed to execute the program but without allowing the users to use functionality other than that contained on SSDT. Search results for 'ssdt', Visual Studio on marketplace.visualstudio.com.

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Use Visual Studio to query dedicated SQL pool using Azure Synapse Analytics. This method uses the SQL Server Data Tools (SSDT) extension in Visual Studio 2019.

Note

Serverless SQL pool is not supported by SSDT.

Prerequisites

To use this tutorial, you need to have the following components:

  • An existing Synapse workspace, If you need to create one see Creating a Synapse workspace
  • A dedicated SQL pool. If you do not have one, see Create a dedicated SQL pool.
  • SSDT for Visual Studio. If you have Visual Studio, you probably already have this component. For installation instructions and options, see Installing Visual Studio and SSDT.
  • The fully qualified SQL server name. To find this server name, see Connect to a dedicated SQL pool.

1. Connect to a dedicated SQL pool

  1. Open Visual Studio 2019.

  2. Open the SQL Server Object Explorer by selecting View > SQL Server Object Explorer.

  3. Click the Add SQL Server icon.

  4. Fill in the fields in the Connect to Server window.

    • Server name: Enter the server name previously identified.
    • Authentication: Select SQL Server Authentication or Active Directory Integrated Authentication:
    • User Name and Password: Enter your user name and password if SQL Server Authentication was selected above.
    • Click Connect.
  5. To explore, expand your Azure SQL server. You can view the databases associated with the server. Expand AdventureWorksDW to see the tables in your sample database.

2. Run a sample query

Now that a connection has been established to your database, you'll write a query.

  1. Right-click your database in SQL Server Object Explorer.

  2. Select New Query. A new query window opens.

  3. Copy the following T-SQL query into the query window:

  4. Run the query by clicking the green arrow or use the following shortcut: CTRL+SHIFT+E.

  5. Look at the query results. In this example, the FactInternetSales table has 60398 rows.

Next steps

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Now that you can connect and query, try visualizing the data with Power BI.To configure your environment for Azure Active Directory authentication, see Authenticate to dedicated SQL pool.

Introduction

SQL Server Data Tools (SSDT) is a toolset which provides an environment for users to carry out database design work in SQL Server. It can be used to build SQL Server relational databases. Here we will outline the steps needed to install SSDT and describe how to install a simple SQL Server Integration Services (SSIS) package. SSDT is available as a free download.

Installing SQL Server Data Tools

First things first, make sure you have Visual Studio 2017 installed. You can install the latest version (15.6.4) here: https://docs.microsoft.com/en-us/visualstudio/install/install-visual-studio

Once the installation has completed, installing SSDT will add the full set of SQL Server tools into your existing Visual Studio installation. Install SSDT using this link: https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt

Once downloaded, run the file:

Click Next, then Install:

Once the installation completes, click the Windows symbol and open Visual Studio 2017 (SSDT):

This will prompt you to sign in to your Microsoft account:

Now that you have signed in and started SSDT, it is time to create your first project. For this you will use SQL Server Integration Services (SSIS).

Creating Your First SSIS Package

SSIS can be used to perform a broad range of data migration tasks and workflow applications. Now that you have started Visual Studio, click Create New Project in the bottom right corner of the main screen:

From the left pane, select Business Intelligence, then select Integration Services Project and click OK. Name the project ‘New Project’ and click OK:

Your new project now opens:

Now, from the View menu, select Solution Explorer:

This prompts the Solution Explorer to pop up in the right-hand plane:

Right click on New Project and select Convert to Package Deployment Model:

The “Package Deployment Model” option allows users to deploy packages individually. For our purposes in this example, we would like to deploy the full project in one go. To achieve this, right click on New Project and select Convert to Project Development Model.

Now, click Next each time you are prompted (7 times in total) and finally click Convert. Once completed, right click SSIS Packages on the Solution Explorer pane on the right side of the screen and select New SSIS Package.

This will automatically create a new package called Package1:

You can now build out this package using the Control Flow and Data Flow tabs as shown here:

The Control Flow is the part of a package where you can add tasks. Click the control flow tab and drag and drop the following two tasks from the left-hand pane into the control flow window:

  1. Data Flow Task
  2. Execute SQL Task

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Now, drag the green arrow to connect the two tasks:

In the example shown here, the Data Flow task allows you to load data from a file to a SQL Server table. You could use an Execute SQL Task, which can contain either a single SQL statement or multiple SQL statements that run sequentially. If you right click on the green arrow you can decide when to execute the second task by setting constraints. For example, you can make the task reliant on the success of the previous Data Flow task to succeed as shown here:

Navigate to the SSIS Toolbox in the left pane under the headings “Favorites” and “Common”, to see a full list of available tasks as shown here:

To look closer at the Data Flow task you have just created, click the ‘Data Flow’ tab on the top pane. By selecting this, you will now see new options in the left-hand pane as shown below.

Now, let us set an Excel file as our data source. Click the “Other Sources” pull-down menu in the SSIS toolbox on the left-pane and drag and drop “Excel source” into the data flow area:

Double-click the Excel Source icon to launch the Excel Source Editor dialog box. In the Excel Source Editor dialog box, click ‘new’ to create an Excel connection:

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This opens the Excel Connection Manager:

Now that we are in the Excel Connection Manager, click Browse and select the file we wish to import and click OK.

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Let us make a copy of our dataset. Drag and drop the “Multicast” option to the workspace. This is a useful way to branch our data to perform separate tasks. To take the record count (the number of records read from the source) of one copy of the dataset, drag and drop the “row count” option to the workspace and connect the arrow to one branch of the Multicast output as shown here:

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This is a useful way to branch our data to perform separate tasks, in this simple example we perform a row count on one copy and a simple lookup on the other copy.

Conclusion

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You have now learned how to install SQL Server Data Tools (SSDT) and create your first simple SQL Server Integration Services (SSIS) package.