26. Demystifying JSON Schema: Everything You Need to Know | API Testing Tutorial
Krishna Sakinala (Automation Testing) Krishna Sakinala (Automation Testing)
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 Published On Mar 5, 2024

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JSON Schema:
JSON Schema is like a blueprint for defining the structure and rules
of JSON documents.
Example: Consider a JSON Schema that describes the structure of A
person's information

{
"type":"object",
"properties": {
"name":{"type":"string"},
"age":{"type":"integer"},
"email":{"type":"string", "format":"email"}
},
"required": ["name","age"]
}

This schema defines that a person object must have name (string) and
age (integer), and optionally an email (string in email format).

Purpose of JSON Schema:
-------------------------------------------
JSON schema acts as a contract, ensuring that JSON data conforms to
predefined rules.

Example: With the previous schema, if someone sends data like:

{
"name":"Tom",
"age": 30,
"email":"[email protected]"
}

It conforms to the schema since ti includes name and age, and email
is optional.

It helps maintain data integrity and consistency by enforcing rules of
JSON data.

Example: If someone send invalid data like:

{
"name":"jerry",
"age":"twenty-five"
}

It violates the schema since age should be an integer, enforcing consistency
in data types.

Usefulness of JSON Schema:

JSON schema enables automatic validation of JSON data against
predefined rules.
Ex: When receiving JSON data from a client, you can automatically validate
it against the schema to ensure it meets the expected structure and
constraints.

It improves Interoperability by providing a standard format for JSON
data exchange.
Ex: Different systems can agree on a common JSON schema for data exchange,
ensuring compatibility and seamless communication between them.

JSON schema enhances development by serving as a blueprint for designing
JSON APIs and data models.
Ex: When designing an API, defining JSON schema upfront helps in
clarifying data requirements and facilitates smoother development
and integration.

It can be used in various contexts, including API documentation,
web application data validation, and data interchange formats.
Ex: Including JSON schema in API documentation helps developers understand
the expected format of request and response payloads, reducing
ambiguity and errors.

JSON Schema Generator -- https://transform.tools/json-to-json-...
JSON Schema Validator -- https://jsonschemalint.com/
JSON Formatter -- https://jsonformatter.org/

#JSONSchema #JSON #DataValidation #Programming #WebDevelopment #JSONSyntax #SchemaDesign

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