Creating schemas is crucial for maintaining data integrity within your application. Here’s how to do it effectively:
  1. Choose a Validation Library: Opt for a library like yup for built-in validation methods, aiding in form validation.
  2. Define the Schema: Utilize your chosen library to outline your data model’s schema. This includes mandatory fields, data types, and extra validation rules. 
import * as yup from "yup";

export const userSchema = yup.object().shape({
  _id: yup.string().required(),
  firstName: yup.string().required(),
  lastName: yup.string(),
  dateOfBirth: yup.date(),
  email: yup.string().email().required(),
  profileImageUrl: yup.string(),
});
  1. Type Inference: Leverage TypeScript’s type inference to ensure type safety.
export interface User extends yup.InferType<typeof userSchema> {}
  1. Use Schema for Validation: Employ the schema to validate data, particularly in forms.
  2. DRY Principles: Create reusable validation functions for common patterns to avoid repetition.
  3. Documentation: Clearly document your schemas and validation rules for better team comprehension.
By adhering to these guidelines, you’ll craft robust schemas that uphold data consistency and validity across your application.