Core Java

Introduction to Apache Commons Validator

Validation is a crucial part of application development, ensuring that user inputs meet expected formats and constraints. Apache Commons Validator is a library that simplifies this process by providing pre-built validation routines for common scenarios. Let us delve into understanding how the Apache Commons Validator simplifies and enhances the process of validating various types of user input.

1. What Is Apache Commons Validator?

The official Apache Commons Validator is a subproject of the Apache Commons library that provides a robust and reusable framework for data validation. It simplifies the process of validating user input, ensuring that applications adhere to business rules and standards. Its key components include:

  • Validator: The main class used to perform validations.
  • ValidatorResources: Stores all the validation rules and messages, usually loaded from an XML file.
  • Field: Represents a single field to be validated.
  • ValidatorAction: Defines the validation logic (e.g., required, minLength, maxLength).
  • Var: Represents variables used for specific validation logic (e.g., pattern for regex).

1.1 Features

  • Predefined Validation Rules: Comes with built-in validations such as email, date, URL, numeric values, etc.
  • Custom Validation Rules: Allows developers to define custom validation rules to cater to specific needs.
  • XML-based Configuration: Validation rules can be configured using an XML file, separating validation logic from application code.
  • Integration with Other Frameworks: Can easily integrate with frameworks like Struts for form validation.
  • Locale Support: Supports locale-based validations for handling internationalization requirements.

1.2 Benefits

  • Standardized Validation: Avoids reinventing the wheel by providing predefined, reusable validation logic.
  • Ease of Maintenance: Validation rules are externalized in XML, making it easy to modify without changing application code.
  • Cross-Platform Support: Can be used in both web and desktop applications.
  • Consistency: Ensures consistent validation logic across the application.
  • Extensibility: Allows developers to create and plug in custom validation rules.

1.3 Common Use Cases

  • Form Validation in Web Applications: Validate fields such as email, phone numbers, and dates; check for required fields.
  • Data Integrity in APIs: Validate incoming request payloads for mandatory fields and formats.
  • Internationalization Support: Locale-specific formatting for numbers, dates, and currencies.
  • Business Rules Enforcement: Ensure inputs adhere to domain-specific constraints.
  • Integration with Frameworks: Use with Struts or Spring MVC to validate user inputs.

2. Maven Dependency

To use Apache Commons Validator, include the following dependency in your pom.xml file:

<dependency>
<groupId>commons-validator</groupId>
<artifactId>commons-validator</artifactId>
<version>your_jar_version</version>
</dependency>

3. Code Example

The following example demonstrates the use of multiple validators (Email, Date, Numeric, and Currency) to validate a set of inputs:

package jcg.example; 

import java.util.Date;
import java.util.Locale;
import org.apache.commons.validator.routines.CurrencyValidator;
import org.apache.commons.validator.routines.DateValidator;
import org.apache.commons.validator.routines.EmailValidator;
import org.apache.commons.validator.routines.IntegerValidator;

public class CombinedValidationExample {
  public static void main(String[] args) {
    // Email Validation
    String email = "user@example.com";
    EmailValidator emailValidator = EmailValidator.getInstance();
    System.out.println("Email Validation: "
        + (emailValidator.isValid(email) ? "Valid" : "Invalid"));

    // Date Validation
    String dateStr = "2024-12-16";
    DateValidator dateValidator = DateValidator.getInstance();
    Date date = dateValidator.validate(dateStr, "yyyy-MM-dd", Locale.ENGLISH);
    System.out.println(
        "Date Validation: " + (date != null ? "Valid" : "Invalid"));

    // Numeric Validation
    String numberStr = "1234";
    IntegerValidator integerValidator = IntegerValidator.getInstance();
    Integer number = integerValidator.validate(numberStr);
    System.out.println(
        "Numeric Validation: " + (number != null ? "Valid" : "Invalid"));

    // Currency Validation
    String currencyStr = "$123.45";
    CurrencyValidator currencyValidator = CurrencyValidator.getInstance();
    Double currency = currencyValidator.validate(currencyStr, Locale.US);
    System.out.println(
        "Currency Validation: " + (currency != null ? "Valid" : "Invalid"));
  }
}

3.1 Code Explanation

The CombinedValidationExample class demonstrates how to use multiple Apache Commons Validator routines to validate different types of input data. Here’s how it works:

  • Email Validation: The EmailValidator is used to validate the format of an email address. The method isValid() checks if the email string is in the correct format, returning “Valid” if true and “Invalid” otherwise.
  • Date Validation: The DateValidator checks if a date string conforms to the specified format. The method validate() takes the date string, a date format (“yyyy-MM-dd”), and a locale. If the date is valid, it returns a Date object; otherwise, it returns null.
  • Numeric Validation: The IntegerValidator validates if a string can be converted to an integer. The validate() method returns an Integer object if the input is valid, or null if invalid.
  • Currency Validation: The CurrencyValidator validates if a string represents a valid currency in a specific locale. The validate() method parses the currency string and returns a Double value if valid, or null otherwise.

3.2 Code Output

The code when executed gives the following output:

Email Validation: Valid
Date Validation: Valid
Numeric Validation: Valid
Currency Validation: Valid

4. Conclusion

Apache Commons Validator is a robust library for handling common validation tasks in Java applications. With its built-in validators and extensible architecture, it helps developers save time while ensuring data accuracy and reliability.

Yatin Batra

An experience full-stack engineer well versed with Core Java, Spring/Springboot, MVC, Security, AOP, Frontend (Angular & React), and cloud technologies (such as AWS, GCP, Jenkins, Docker, K8).
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