Each generator or faker in our tool contains a unique configuration that determines how data is created or modified for each column. These configurations can be customized to suit your specific needs.
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In the Fakers Menu, you can define the desired fakers for each column. The selection is context-sensitive: if you select a column with an existing faker configuration, it will load automatically. If no configuration exists, you can set a new faker.
You can activate or deactivate each faker for individual columns. Simply click on the green arrow to activate or the grayed-out 'X' icon to deactivate. Columns marked as inactive will be ignored during further processing, including file export, database export, and other operations.
When working with your data models, you can easily suggest and apply fakers to your data fields/columns.
How to Use
Select a Data Field: Click on any data field within your model to open the Faker Suggestions window.
Choose Fakers: In the Faker Suggestions window, you will see a list of available fakers. Each faker corresponds to a different type of data (e.g., Job Title, First Name, Last Name).
Apply Fakers:
Select All: Click on All to select all suggested fakers.
Deselect All: Click on None to deselect all fakers.
Individual Selection: Check or uncheck individual fakers as needed.
Confirm: Click OK to apply the selected fakers to the data field, or Cancel to discard changes.
The Faker Configuration panel allows you to configure and manage fakers for your columns. Here is a description of the key options and functionalities available in this panel:
Main Features
Suggest Faker
Icon: ⚡ (Lightning bolt)
Description: Click this button to suggest a faker based on the data field type. The system will automatically provide a suitable faker for the selected data field.
Delete Faker
Icon: 🗑️ (Trash can)
Description: Click this button to remove the currently active faker from the data field. This action will reset the faker settings for the selected field.
Open Documentation
Icon: ❓ (Question mark)
Description: Click this button to open the documentation for fakers. This will provide detailed information on how to configure and use fakers effectively.
Configuration Options
Column Name (e.g. FirstName)
Field: Name of the data field currently being configured.
Type: Specifies the type of data (e.g., Name).
Faker: Displays the currently active faker. If no faker is active, it will show "[No Faker active]".
Randomizer Options
Table-wide seed in use: Option to use a table-wide seed for randomization.
Use Column Seed: Check this box to use a column-specific seed.
Fill Factor: Adjust the fill factor for the faker. This determines the percentage of the column to be filled with fake data.
By utilizing these features, you can easily configure and manage fakers for your data fields, ensuring that your data generation process is both efficient and tailored to your specific needs.
You can use multiple different Fakers based on your use case. See the list below for all available options.
(Names, Titles, Addresses and many more)
Missing something? A data type? A data source? Anything else?
