![]() In order to include the build step from the previous article in the automating process, so that the Build and Populate step are run in sequence, one after the other, i.e. Once the generation and execution are done, the Post generation summary window will be shown:Īutomating process using ApexSQL Generate and PowerShellĪs previously mentioned, a 3 rd party tool (in this case ApexSQL Generate) can be scheduled via a PowerShell project, in order to run it unattended. The Action plan window will be shown, with all actions that will be done on a database:Īfter reviewing the Action plan, click the Generate button in the bottom-right corner and the test data generation will be executed. To execute the generation process directly on a database, click the Generate button from the Home tab: If this options is chosen, in the Batch script preview, all previously set options will be expressed as CLI switches:Ĭheck the Project settings option in the bottom-left corner, so that only checked tables are populated with test data.Īfter reviewing all option switches, click the Save button in the bottom-right corner and specify a location where to save it.īy saving the batch file, automating the process for the CI Populate step is much simpler, as less code is used in the PowerShell project. The other option is to use the batch file. To choose a generator for a column, select a column and in the right-side menu, select a desired generator:Īfter each column generator is set, in the Test data preview pane, preview the generated data before executing or exporting:īefore starting the generation process, click the Save button, from the Home tab, and choose between the Save as (saving a project) or Save as batch file option:īy saving the project file, everything that was previously set in the current project will be saved in the project file and used for automating the process. If there is a need to add test data to all tables, just leave all tables checked, as it is by default.īy default, ApexSQL Generate recognizes the column’s name and data type, and sets the most appropriate generator:ĪpexSQL Generate allows choosing a different generator for each column. Since the data exist in some tables and not in others, it can be inserted by manually checking only tables that don’t contain data in the Results grid: In order to apply the set of options on tables, click the Apply settings button at the bottom and in the Apply settings window, choose tables on which you want to apply settings, move them to the right side with arrow buttons and click the OK button: To avoid any issues during the test data generation, disable triggers and constraints by using the options above. In order to preserve that data, leave the Clear data option unchecked. If any error occurs during the data generation, the error handling option can be set to Stop generation or Skip row.Īs mentioned, a built database could contain static data for some tables that were committed to the source control repository. This option can be also set for each table individually, by selecting a table and changing the number in the right-side menu. The Rows option allows to set the number of rows that will be generated for each table. Select a database in the Results grid and set specific table options, from the menu on the right side, that can be applied to all tables in a database: The application will load a database and show all tables and columns in the Results grid: Once a database is set, click the Connect button in the bottom-corner of the New project window : Select a built database from the Build step in the Database connection tab, of the New project window: It can generate: randomized test data using the Random generator and various options, and using the Regular expression generator, sequential data using the Incremental generator, and much more. It supports a full range of SQL data types and has an ability to recognize them in a loaded SQL database and provide real-world test data based on contained data types. ApexSQL Generate is a tool that can populate SQL databases with test data using multiple generators for each column.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |