How can you validate json and xml in mule in Mule Soft

 

How can you validate json and xml in mule in Mule Soft?

There are two ways to validate JSON and XML in MuleSoft:

·         Using the built-in validation components

·         Using DataWeave

https://youtu.be/h_nLbfXDpKc

Using the built-in validation components

MuleSoft provides a number of built-in validation components that can be used to validate JSON and XML. These components include:

·         JSON Schema Validator: This component validates JSON documents against a JSON schema.

·         XML Schema Validator: This component validates XML documents against an XML schema.

To use a validation component, you can add it to your Mule flow and configure it with the schema that you want to use to validate the data.

Here is an example of how to use the JSON Schema Validator component to validate a JSON document:

 

XML

<flow name="validate-json">
  <json:validate-schema schema="/path/to/json-schema.json" />

  <http:request method="POST" url="https://example.com/api/validate" payload="#{payload}" />

  <http:response />
</flow>

This flow will validate the JSON document in the message payload against the JSON schema at /path/to/json-schema.json. If the validation is successful, the flow will send a POST request to the https://example.com/api/validate endpoint with the JSON document in the request body. If the validation fails, the flow will throw an exception.

Using DataWeave

DataWeave is a powerful data transformation language that can be used to validate JSON and XML data. To validate data using DataWeave, you can use the validate function.

 

The validate function takes two arguments: the data to be validated and the schema to validate the data against. The validate function returns a boolean value indicating whether the data is valid.

Here is an example of how to use DataWeave to validate a JSON document:

Code snippet

%dw 2.0
input = '{ "name": "John Doe", "age": 30 }'
schema = '{ "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } } }'

validate(input, schema)

This DataWeave code will validate the JSON document in the input variable against the JSON schema in the schema variable. If the validation is successful, the code will return true. If the validation fails, the code will return false.

You can use the validate function in your Mule flows to validate data before processing it. For example, you could use the validate function to validate the JSON document in the message payload before sending it to an HTTP endpoint.

Conclusion

There are two ways to validate JSON and XML in MuleSoft: using the built-in validation components and using DataWeave. Both methods are effective, but I recommend using DataWeave whenever possible, as it is more powerful and flexible.