![]() In addition, when two composite foreign keys overlap, for the overlapping column(s) SQL Data Generator uses values that appear in both referenced tables that is, if a value appears in one referenced table but not in the other, that value will not appear in the generated data. In the example below, changing the generator settings for Column 4 in Table 2 also changes the settings for Columns 1, 2, and 3 in Table 2. Similarly, if two or more composite foreign keys overlap, the generator settings are the same for each of the foreign keys. In the example below, changing the generator settings for Column 2 in Table 2 also changes the settings for columns 1 and 3. You can change the settings for these columns individually.įor a composite foreign key, the generator settings are the same for each of the columns if you change the settings on one column, they are automatically changed on the others. SQL Data Generator assigns the Foreign Key generator to Column 1 and Column 2. In the example below, Table 2 Column 1 references Table 1 Column A, and Table 2 Column 2 references Table 3 Column a. You cannot change the generator, but you can change the settings for the Foreign Key generator. When SQL Data Generator automatically assigns generators to the columns in a new project or new schema, the Foreign Key generator is assigned to all columns that have foreign key constraints. To do this, clear the Enforce check constraints check box in the project configuration options (click Edit Project and select the Options tab). You can set up the project so that check constraints are not enforced when the data is generated. When you generate data, if the values generated do not comply with a check constraint, data generation for that table is stopped and an error is reported. However, it is not always possible to set the generator parameters appropriately. When SQL Data Generator automatically assigns generators to the columns in a new project or new schema, it sets the generator parameters to take account of any check constraints. You can change the number of values to be displayed in the preview by changing your application options from the Tools menu. However, you can proceed with the generation. ![]() If Set unique is selected but there are not enough unique values to display in the preview, a warning is displayed. Generators that do not offer the Set unique option are not available for columns that have a uniqueness constraint, except for the SQL statement generator. A warning is displayed, but you can proceed with the generation. For example, you may want to do this if the uniqueness constraint applies across multiple columns, and you know that another of the columns is unique. However, you can override the uniqueness for the column by clearing the check box. If the column schema has a uniqueness constraint (such as a unique index or primary key), Set unique is selected by default. When this check box is selected, SQL Data Generator makes the values that are generated for the column unique. Many of the generators have a Set unique setting. To see a matrix of the data types that are supported by the supplied generators, see the table of supported data types by generator (PDF). Data types supported by the supplied generators SQL Type lists a generator for each SQL data type (except CLR)įor information about the generic generators, see: Generic generators.įor full details about customizing generators, see: Customizing existing generators.įor information about how you can create your own generators, see: Creating new generators.In addition, SQL Data Generator provides some non-specific generators for you to customize: ![]() You can change the settings for these generators as required. These generators are grouped by subject area in the Generator list. SQL Data Generator provides a number of pre-defined generators, such as FirstName, WorkingAge, Country, and so on. For example, if the column type is int, only generators that create integer values are available in the list. ![]() When you select a column in the Tables to populate pane, Generators lists only the generators that create data of the same data type as the column. Different generators are used to create different types of values, and to enable you to define specific parameters for the values. SQL Data Generator uses generators to create the data for the tables that you choose to populate. ![]()
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