How import a data model from Spark Schema

The Import from Spark Schema option can be used to automatically set up a JSON, Avro, or Parquet Project in GenRocket. This option can be used to generate simple and nested JSON, Avro, or Parquet files.

Note: The steps for this import are the same when choosing JSON, Avro, or Parquet from the drop-down menu.

Sample Spark Schema

root
 |-- factory: struct (nullable = true)
 |    |-- id: integer (nullable = true)
 |    |-- name: string (nullable = true)
 |    |-- type: string (nullable = true)
 |    |-- image: struct (nullable = true)
 |    |    |-- height: integer (nullable = true)
 |    |    |-- url: string (nullable = true)
 |    |    |-- width: integer (nullable = true)
 |    |-- thumbnail: struct (nullable = true)
 |    |    |-- height: integer (nullable = true)
 |    |    |-- url: string (nullable = true)
 |    |    |-- width: integer (nullable = true)

How to import from a Spark Schema

• Select a Project with the Project Dashboard.
• Expand the Domain menu and select Import from Spark Schema.
  
• Browse to and select a file to import by clicking on Choose File.
  
• Next, choose an output format type (JSON, AVRO, or PARQUET) from the drop-down menu. For this example, we will select AVRO.
  
• Click the Save button.
  
• Click OK to close the dialog window.
  
• The data model will be imported into the Test Data Project with Domains, Attributes, Receivers, Scenarios, and a Scenario Chain set up accordingly.
• This process may take a few minutes, and the user who initiated the process will receive an email when it has finished.
  
• Additionally, a Configuration File will be automatically created and will need to be downloaded along with the Scenario Chain to generate test data.