You can match against schemas that exist in a local file or in an external URI.If the validation fails, an exception is raised with feedback about what went wrong and a reference to the original invalid payload.Properties within the schema are defined and with another object containing their expected type.For example: How you handle invalid data is up to you; moving forward with invalid data could present a security risk for both your organization and the user.While this approach has the benefit of ensuring the response object includes the expected values for the specified properties, it is also verbose and cumbersome to maintain.Wouldn’t it be nice if the test could look more like this?
There are several different schema languages in widespread use, but the main ones are Document Type Definitions (DTDs), Relax-NG, Schematron and W3C XSD (XML Schema Definitions).
Create an XSDBuilder object and invoke the build(Input Source) method of the XSDBuilder object to obtain an XMLSchema object.
The Input Source object is created with an Input Stream object created from the example XML schema document,
Most developers assume the JSON provide is not only error-free also in the proper format. Let me show you how Kris Zyp's JSON Schema can help you validate JSON on both the client and server sides.
JSON Schema is a standard (currently in draft) which provides a coherent schema by which to validate a JSON "item" against.