Generate VIP Database Model and Test Data Configuration Sheet

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To begin, we  need to generate a VIP Model and a Test Data Configuration Sheet. This is performed by following these steps:

  • Open VIP
  • Go to Register Model Menu
  • Select Add Database Model

In the main window, complete the following fields:

Specify a Model Name

This is the name of the Model which will be used in the Configuration Sheet and VIP flows.

Specify a Database Type

Database types are: SQL Server, Oracle, My SQL, Postgres, MS Acess.

Specify a Server

Localhost or the full qualified server instance name. ‘Note: ‘.’ can be used to refer to the localhost.

Specify a Database

Specify the name of the Database to use and select whether Integrated Security needs to
be used rather than Username and password.

Add Connection Parameters

If you want to specify any Database connection parameters. Example for SQL servers is
Geo-Spatial features.

              Add Reference Assemblies

This is for the SQL server mostly.

              Prior Data Sheet or Template

Usually not used, but can be used if you have Data Sheet or Template for this model. This usually happens when you are re-registering the model with a data sheet and you want to keep your last configuration. In that case, you can specify the name of the last configuration sheet in the box provided.

Select Tables Provides an option to select tables for selective model generation)

Deselect this option if you would like to select all Tables.

Build Data Creation Spreadsheet (A spreadsheet will be generated to configure data generation).
This would normally be selected to generate synthetic test data

Use Sample Data File

This option is used if you want to use a Sample Data File. The Sample Data File is a pre-configured sheet so if you have one (may be from a previously generated model for version 1 and now moving to version 2 you may like to leverage existing settings from the previously configured sheet.). If you have an existing data generation spreadsheet and want to use the configured values this option should be checked.

Use Existing Data

This option is used if you want to use a data file that has already been created. Please include the name of the repository file in the box provided.

If the Target Database already has some data (e.g. Master data for some tables) and the user wants to access the data during generation, this option should be used. If a Repository is specified as TargetRepo, the user can access the repository function using varTargetRepo variable.

Include Views

Check if views should be included (Checking this option may make model generation slow). It includes database View information in the model. ( Data cannot be generated for Views but can be queried.

Make Object Names Singular

This only works when the user wants to load data from a JSON file to a database. VIP provides a way to import JSON data to database directly. This is not a requirement for synthetic data generation.

For corresponding JSON model option: Inserting a JSON message to a relational database will be available.

Select Generate Model

To generate the model. The model will be generated in %appdata%\VIP\ExternalEntityAssemblies\{SpecifiedModelName}

After Generating Model the following two files will be created in XXX whichever folder was specified:

The Data is generated in AppData\Roaming\VIP\ExternalEntityAssemblies directory.

Generated Data

Here is an example of a generated Database model in SQL Database Management Studio:

In this example the Database is a Sample Commerce database which contains 5 transaction tables – Orders, OrderItems, Products, Suppliers and Customers and one County table that is a master data table.

This is an example of what the Data Generation Configuration sheet looks like:

Navigation through model Tables can be done by selecting the Table name on the bottom of the screen. Once a table is selected, the user can view all the fields and variables, represented as columns and rows respectively, that pertain to each table.

Any of the information in the tables can be edited manually.   So for example, rows can be deleted and any values in the Table (represented as spreadsheet cells), can be changed.