How To Deploy Sql Server Database Project – In this article, I’ll talk about creating and deploying a data collection project, also known as a data-level application, using Visual Studio. In the previous article, Getting Started with Data Tier Applications in Visual Studio, I gave an overview of data tier applications and how to create them using Visual Studio. This article is a continuation of the previous article. I advise you to review this before continuing, because it is a continuation of the previous one. I will be using Visual Studio 2019 for this article, but feel free to use any other Visual Studio.
In this article, I will mention how to create database objects like tables, stored procedures and use SQLCMD variables in scripts. I will also show you how to code for database operations using the directory structure. Finally, we will create a database function and deploy it to an instance of SQL Server.
How To Deploy Sql Server Database Project
First, let’s start by creating our project guide. This is not an exhaustive list; however, I recommend creating a leadership style first. It will be easier to manage your code later when you have a lot of file management to do. The main idea is to create separate directories for each scheme that we will use in the project. For example, if we were to create code for two schemes – “
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”, then we should create root directories to plan and organize other things according to them.
To create a new directory in a database project, right-click the project name and select Add, then select New Folder.
After creating a catalog for your system, the next step is to create a catalog for each master database that you will create. For example, you may need to create tables, stored procedures, functions, and views for each of these systems. Therefore, we will create one directory for each of them under both systems. You can refer to the diagram below to understand how directories should be created.
You can add directories as you enjoy using them. This is just to clean up the code, as these systems are not important when building or deploying the application.
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Now that we’ve created the directory structure, let’s create the individual data elements. First, let’s create the table below
Right-click the directory, select Add, and then select Tables. Alternatively, you can select New Object from the drop-down menu and select Table from the list.
In the New Object area, select Tables and enter a name for the table. You can follow best practices for generating values and truth tables, but to keep things simple, we’ll simplify the names as well.
Once you’ve given a name, click Add and you’ll see the table drawing area open in the Visual Studio. This area has two main components: the design area and the T-SQL editor area. Using the design process, you can create table structures without writing any T-SQL code. Just enter the names and select the data type from the drop down menu and you are good to go. This will automatically generate names for your application, which you can see in the T-SQL editor below. This is a useful feature that helps you quickly create tables without having to worry about writing all the T-SQL by hand. It’s a good idea to check the SQL query after the table is populated.
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Similarly, you can add tables and other objects, such as stored procedures, to other plans. You can also add this functionality to source control like Git. This will help you keep your data version as you continue to develop. When you update your code, make sure to update the version number in the DACPAC file. So every time you can push a new version of the code to the database server.
Now that we have added our database objects to the project, we can start building the project and deploying it to the database server. Before that, we have to confirm these two things.
You can view the build directory by viewing the tool and selecting Build. By default it should be after “
For the target database connection, click Debug and edit the target connection string. Make sure you specify the correct database server, otherwise the database job will be installed on a different server than the old one.
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Note the name of the target database in the connection line. With this name a database will be created on the server.
Now that we have checked all the details, let’s move on to creating a database project. To create a task, you can click Create in the menu bar and select Create Solution. Or you can type
Once you start building the database, you will see the output from the window below which looks like the image below.
You can now verify the build files by going to the build location we verified in the steps above.
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Right-click the project and select Print. The Print Database area is displayed where you need to confirm the target database connection. Also, make sure you check the checkboxes that say Register as a data-level rule.
After confirming the information, you can click the Print button. You will notice that the Actions section of the Data Tools appears and shows progress. Installation will take some time depending on the amount of data in the database.
You can now continue to view the database in SQL Server Management Studio. As you can see in the image below, the database is created and contains the columns we defined in the database function.
In this article, I show you how to define a directory structure to organize your code. We have also outlined how to create different data elements in the directory structure we have defined. Finally, we built and deployed our project using Visual Studio, and verified this database on SQL Server using SQL Server Studio. In the following articles, I will show you more ways to use data programs.
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Aveek is an experienced data engineer and analytics engineer currently based in Dublin, Ireland. His main technical interests are SQL Server, SSIS / ETL, SSAS, Python, Big Data tools such as Apache Spark, Kafka, and cloud technologies such as AWS / Amazon and Azure.
He is a prolific writer with over 100 articles published on various technology sites, including his own blog, and a frequent contributor to various technology forums.
In his spare time, he enjoys photography, mostly streetscapes and still life. A few glimpses of his work can be found on Instagram. You can also find him on LinkedIn.
© 2023 Quest Software Inc. ALL RIGHTS RESERVED. | GDPR | Terms of Use | Confidential In previous posts, I showed you how to build and deploy an ASP.NET 4.7.2 application on a local server running Windows 2016. Now, the next step in the journey is to install SQL statements. of Microsoft on the local server. In this post, I will show you how to deploy a SQL database job to an on-premise Windows 2016 server running an instance of SQL Server 2017 using Azure DevOps.
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The target server I will be using is already configured with all the necessary components to support data entry. I won’t go into the local configuration instructions for each component because this post is just about installing the database, but I will list my configuration at a high level so you can install your server settings. You need to install the following local configuration to follow this website:
For demo purposes, I will use a preconfigured SQL login to authenticate to my demo server database. Therefore, make sure that the account you are using for authorization on SQL Server has the correct permissions to install. For more information about SQL Server permissions, see the official documentation.
I decided to use Microsoft’s Adventure Works product database because it’s easy to use, has all the built-in scripts, and finally because it’s easy to build a SQL model from it and upload it to the Git source control. Azure Repos. Note that the release setup I will create in this post can be applied to the same SQL database operations, so you can use this post as a starting point. Here’s what my Adventure Works SQL project looks like:
Also, I’ve already uploaded the source code to Azure Repos and created a YAML source pipeline for it:
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The YAML-based structure of this project is actually pretty good