The BizDataX Designer provides a way to generate synthetic data to cover scenarios where production data may not available. How to do that is described on this page.
|Table of contents
|Mandatory fields handling
|Masking rules modification
To insert new records in a table, replace the default
.Handle.WithBulk() part of the Handler expression with
.WithInsert().NewItemsCount(100).WithBulk() (100 is the number of new records) in every table masking activity in every Masking engine in the Package.xaml file.
Generating synthetic data for a default field in a database will behave depending on how a field was imported. (Write, Skip, Read)
BDX package or
NULL if record is undefined. Exception will be thrown if field was defined as
NOT NULL and value is not defined in
Start the data masking by selecting Debug -> Start Without Debugging (or CTRL+F5).
A console window will pop-up showing some diagnostic outputs and, within seconds, a dialog will pop-up (Figure 1) showing the error messages containing the information about mandatory fields. For the Customer records, the
BirthDate property is required and no rules have been set to specify its value. Consequently, entity validation failed and no records were created in the database.
Figure 1: Mandatory field error
Mandatory fields masking.
All masking rules have a setting called SkipDefaultValues in the Input: Filter category in the Properties window. If SkipDefaultValues is
true, it specifies that the field will be masked only if the original value isn't empty. When generating synthetic data all records are initially empty, so this setting must be set to
false on all masking rules.
Figure 2: Properties window
Start the data masking by selecting Debug -> Start Without Debugging (or CTRL+F5) and check the results in the database. New records, like those shown on Figure 3, should be present.
Figure 3: Generated records
Caution: Synthetic data generation as shown will not mask existing records. It will only insert new records to a table according to the specified masking rules. For a more advanced configuration of the handler, read next chapter.
To use different settings while generating synthetic data visit Fluent Handler API.
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