This will launch the Connect to Database wizard, as shown below, where you need to specify the database details where you want to generate the test data. To start generating data, click on the Generate Data icon in the toolbar or hit F5. Depending on the relationship defined the data generation plan shows related tables and you can specify a ratio for related tables for data generation as shown below. You can choose which tables you want to generate test data and how many records you want to generate for each table. By default all the tables are included in the plan for data generation. The Data Generation Plan will scan through the schema objects of your database project and will list all the tables that exist. Specify an appropriate name for your data generation plan as shown below and click on the Add button. ![]() In Add New Item dialog box, select Data Generation Plan node in the left side under Database Project node and choose empty Data Generation Plan template from the detail section. Right click on your project node in the Solution Explorer, go to Add and then click on New Item as shown below: Launch Microsoft Visual Studio 2010 IDE (Integrated Development Studio) and open your database project. Note: In this demonstration I am going to show how you can generate test data in Visual Studio 2010 Ultimate edition although you can do the same with Visual Studio 2005/2008 Database edition too. If it does not suffice your need or you have different business rules which can't be satisfied by using the built-in data generators, you can even create your own custom data generators too. You can change properties of these data generators to define the range and format of the data being generated as well. It uses several built in data generators which generate random data or generate data from other data sources as per your column data type. Data Generation Plan contains how you want your test data to be generated for your specific tables and columns. One of them is generating random test data using Data Generation Plan. Please refer to following tutorial for more examples on SQL Concatenation using FOR XML PATH() method.Visual Studio Database edition provides several features for database development and testing. The below script gets a random number of BookAuthors rows and sql concatenate AuthorId column values using comma as delimiter character. And copy and paste the below sql statements into the "External Source of SQL Data" query screen. Select the same database since both tables are on the same database. Then click the "Edit" button in order to select the database and edit the t-sql script. When you select " SQL Statement - Reads data from SELECT statement" from the list the Column generation settings will change as shown in the below screen-shot from the SQL Server tool. We can customize the test data generation by using the " SQL Select Statement" instead of the " RegexpGenerator" default for varchar, nvarchar data types. ![]() I had to customize the test data generation so that the process should concatenate the AuthorId column values within the BookAuthors table in a random manner for each test data record for the Books table. I had to customize the test data generation process somehow. Since the Authors column in Books table has data type varchar it does not produce logical values if I use the SQL Data Generator tool to populate the row columns with random string values. We can just hope creating test data for SQL Server is not so difficult using this tool from Red-Gate. I know that is not a good database desing but we have such tables in our databases. But I will copy screenshots displaying sample data from both sql database tables which will help you visualize the database design.Īs you see, in the Books table in Authors column I keep ID's as comma seperated. Here is the case which I require test data.īooks sql table has a column Authors where the authors of the book is kept as comma seperated values of the author's Id value in the Authors sql table.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |