Hello there,
I am working on a project where I need to generate complex data structures for testing purposes; and I am looking for some guidance on the best practices for using Mockaroo to achieve this. My goal is to create realistic datasets that mimic real world scenarios; but I am facing a few challenges with configuring the data schema effectively.
I need to generate JSON data with nested objects and arrays. While Mockaroo seems capable of handling nested structures; I am struggling with configuring the fields correctly to ensure the data is both varied and meaningful.
I want to create custom data types that are not covered by Mockaroo’s default options. For instance; generating a dataset with hierarchical relationships or domain specific patterns. Is there a way to define these custom types or patterns within Mockaroo?
When generating large volumes of data; I have noticed some performance issues. Are there any recommendations for optimizing the data generation process to handle larger datasets more efficiently?
Also, I have gone through this post; https://forum.mockaroo.com/t/generating-random-list-from-dataset-ccsp/ which definitely helped me out a lot.
I am also interested in validating the generated data to ensure it meets certain criteria or constraints. Does Mockaroo offer any built in validation options; or should I handle this separately?
Thank you in advance for your help and assistance. 