For example, you may see an information message if SQL Data Generator cannot create enough rows for the preview. Information messages provide you with information about issues that you may want to rectify, but which will not prevent data generation. For example, a warning is displayed if you have chosen to delete rows in a table, but another table references it. The problem does not prevent you from generating data, but it may stop the data generation for a particular table. Warnings inform you when a problem may arise during data generation. For example, an error is displayed if there are circular dependencies. When you are setting up the tables and columns that you want to populate, SQL Data Generator displays warning and error messages to inform you when there may be a problem with the data generation.Įrrors prevent you from selecting Generate Data. If a script that is run after data generation fails, the process continues with the next script. If a script that is run before data generation fails, the generation process is stopped. Scripts are run in the order in which you list them in the project configuration. You can link to external script files, or you can embed scripts by typing in the Project Configuration dialog box, (or a combination of the two). You set up the scripts you want to run in the Project Configuration dialog box (click Edit Project and select the Scripts tab). SQL Data Generator can run these scripts automatically. For example, you could use scripts to add custom data to the database. You can run SQL scripts before or after the data generation. An action plan provides a summary of the data generation for you to review before you generate. When you are happy with the settings for all the columns that you want to populate, click Generate Data. To select a column for customization, click the name of the column in the Tables to populate pane, or click the column in the Preview pane. When you have set the table-level parameters, you can check the settings for each column in the table, and customize them if required. You may also see warnings or errors in the preview. For detailed information, see Mapping SQL tables or views and Mapping CSV files.Ĭomputed column or a manual foreign key column You can change the mappings later if required. If any columns cannot be mapped, SQL Data Generator assigns a generator. SQL Data Generator maps the columns based on name and data type. You can import a table or view from an existing database, or an existing CSV file. For detailed information, see Using generators. You can change the generator used by a particular column later if required. If the column has constraints, SQL Data Generator uses these to set the generator parameters for the column if the constraints cannot be complied with in this way, the RegexpGenerator is assigned instead and an appropriate regular expression is set up. SQL Data Generator automatically assigns a generator to each column based on its table name, column name, data type, and length. When you have selected the Populate check box for a table, you can define how you want the data to be generated: click the table name in the Tables to populate pane, and specify the details in the Table generation settings pane. To see the creation SQL script for a table, right-click the table or column name in the tree view and click Show Schema Creation Script. By default, these are all selected, but you can change this option for both new projects and new tables in your application options (accessed from the Tools menu). You specify the tables that you want to populate by selecting the Populate check box. When you have created a project, the schema of the database you selected is listed in a tree view in the Tables to populate pane. The project also defines some options for the data generation, and you can specify any number of SQL scripts that you want SQL Data Generator to run automatically before or after generating the data. To generate data, first create a project by selecting the SQL Server and database you want to populate. You are recommended to back up the database that you are going to populate before you generate the data you can then adjust the settings and repeat the data generation if you are not happy with the results. This page provides an overview of how you set up SQL Data Generator to generate data.
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