Video Description

Check Tubebuddy Features Here: https://www.tubebuddy.com/krishnasakinala 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-schema JSON Schema Validator -- https://jsonschemalint.com/ JSON Formatter -- https://jsonformatter.org/ #JSONSchema #JSON #DataValidation #Programming #WebDevelopment #JSONSyntax #SchemaDesign Java Tutorial For Basics - https://bit.ly/3zZw25Q Protractor with Javascript - https://bit.ly/2jZ5XkX Selenium Java Tutorial - https://bit.ly/2keM2Pb Jasmine Tutorial - https://bit.ly/2lv0m6l Java - https://bit.ly/2lylSHq TestNG Tutorial - https://bit.ly/2lTpB2d PdfUtil - https://bit.ly/2keBDTA Shutterbug - https://bit.ly/2lX6xQV Selenium Realtime Examples - https://bit.ly/2k0FqDQ Java Interview Questions - https://bit.ly/2kopsmY Katalon Studio - https://bit.ly/2lWhyln Database Testing - https://bit.ly/2ko4jcJ Fillo Excel API - https://bit.ly/2jRyWqC Ashot - https://bit.ly/2kqXk2y Extent Reports Version 3 Java - https://bit.ly/2k0FweG Robot class - https://bit.ly/2lshPfJ Sikuli - https://bit.ly/2lTq2cR Excel Read Write using Java - https://bit.ly/2lyXRj8 AutoIt - https://bit.ly/2lyIYgM Extent Reports Version 2 C# - https://bit.ly/2kqIY2d Extent Reports Version 2 Java - https://bit.ly/2k0XkGA Facebook : https://www.facebook.com/automationtesting2016/ LinkedIn : https://www.linkedin.com/feed/?trk=hb_signin Google+ : https://plus.google.com/105286300926085335367 Twitter : https://twitter.com/krishnasakinala Website : http://automationtesting.in/