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Spring Bootframework~30 mins

Custom validator annotation in Spring Boot - Mini Project: Build & Apply

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Create a Custom Validator Annotation in Spring Boot
📖 Scenario: You are building a Spring Boot application that needs to validate user input. The default validators do not cover your specific rule, so you want to create a custom validator annotation to check if a string contains only uppercase letters.
🎯 Goal: Build a custom validator annotation called @Uppercase that can be applied to string fields. This validator should check if the string contains only uppercase letters.
📋 What You'll Learn
Create a custom annotation called @Uppercase
Create a validator class that implements ConstraintValidator
Use the custom annotation on a field in a model class
Ensure the validator checks if the string is uppercase only
💡 Why This Matters
🌍 Real World
Custom validators are useful when built-in validation rules do not cover your specific business requirements, such as enforcing uppercase-only codes or special formats.
💼 Career
Knowing how to create and use custom validation annotations is important for backend developers working with Spring Boot to ensure data integrity and user input validation.
Progress0 / 4 steps
1
Create the @Uppercase annotation
Create a custom annotation called @Uppercase with these exact elements: annotate it with @Constraint(validatedBy = UppercaseValidator.class), @Target({ElementType.FIELD}), @Retention(RetentionPolicy.RUNTIME), and include a message element with default value "Must be uppercase". Also include Class[] groups() default {}; and Class[] payload() default {};.
Spring Boot
Hint

Remember to import jakarta.validation.Constraint and set the validatedBy to your validator class.

2
Create the UppercaseValidator class
Create a class called UppercaseValidator that implements ConstraintValidator<Uppercase, String>. Override the isValid method to return true if the input string is null or contains only uppercase letters (use input.equals(input.toUpperCase())).
Spring Boot
Hint

Check for null first, then compare the string to its uppercase version.

3
Use @Uppercase on a model field
Create a class called User with a private string field called code. Annotate the code field with @Uppercase. Include public getter and setter methods for code.
Spring Boot
Hint

Remember to add the @Uppercase annotation exactly above the code field.

4
Complete the Spring Boot validation setup
In the User class, add the @Validated annotation on the class level to enable validation. Also, add the @NotNull annotation on the code field to require a value.
Spring Boot
Hint

Add @Validated on the class and @NotNull on the code field to complete validation setup.

Practice

(1/5)
1. What is the main purpose of creating a custom validator annotation in Spring Boot?
easy
A. To define your own validation rules reusable across your application
B. To replace built-in annotations like @NotNull completely
C. To automatically generate database tables
D. To handle HTTP requests in controllers

Solution

  1. Step 1: Understand the role of custom validator annotations

    They allow you to create your own rules for validating data beyond built-in checks.
  2. Step 2: Identify the main benefit

    These annotations keep validation logic clean and reusable across different parts of your app.
  3. Final Answer:

    To define your own validation rules reusable across your application -> Option A
  4. Quick Check:

    Custom validator = reusable validation rules [OK]
Hint: Custom validators create reusable rules, not replace built-ins [OK]
Common Mistakes:
  • Thinking custom validators replace all built-in annotations
  • Confusing validation with database or HTTP handling
  • Assuming custom validators auto-generate code
2. Which of the following is the correct way to declare a custom validator annotation interface in Spring Boot?
easy
A. @Validator class MyValidator { String message() default "Invalid"; }
B. class MyValidator { String message() default "Invalid"; }
C. interface MyValidator { void validate(); }
D. @interface MyValidator { String message() default "Invalid"; Class[] groups() default {}; Class[] payload() default {}; }

Solution

  1. Step 1: Recall the syntax for custom annotation interfaces

    They use @interface keyword and define methods like message(), groups(), and payload().
  2. Step 2: Check each option

    @interface MyValidator { String message() default "Invalid"; Class[] groups() default {}; Class[] payload() default {}; } correctly uses @interface and includes required methods. Others either use wrong keywords or miss required parts.
  3. Final Answer:

    @interface MyValidator { String message() default "Invalid"; Class[] groups() default {}; Class[] payload() default {}; } -> Option D
  4. Quick Check:

    Custom annotation = @interface + standard methods [OK]
Hint: Custom annotations use @interface with message, groups, payload [OK]
Common Mistakes:
  • Using class or interface instead of @interface
  • Omitting groups() or payload() methods
  • Adding methods unrelated to validation
3. Given this validator class snippet, what will happen when validating a string with value "abc123"?
public class AlphaValidator implements ConstraintValidator<Alpha, String> {
  public boolean isValid(String value, ConstraintValidatorContext context) {
    return value != null && value.matches("^[a-zA-Z]+$");
  }
}
medium
A. Validation throws a NullPointerException
B. Validation passes because the string contains letters
C. Validation fails because the string contains digits
D. Validation always returns true regardless of input

Solution

  1. Step 1: Analyze the validation logic

    The method checks if the string is not null and matches the regex "^[a-zA-Z]+$", which means only letters allowed.
  2. Step 2: Test the input "abc123" against the regex

    Since "abc123" contains digits, it does not match the regex, so the method returns false.
  3. Final Answer:

    Validation fails because the string contains digits -> Option C
  4. Quick Check:

    Regex allows only letters, digits cause failure [OK]
Hint: Check regex carefully; digits break letter-only pattern [OK]
Common Mistakes:
  • Assuming partial match passes validation
  • Ignoring null check in code
  • Thinking digits are allowed by regex
4. You wrote a custom validator but it always passes validation even for invalid data. Which of these is the most likely cause?
medium
A. The annotation interface is missing the @Target annotation
B. The isValid method always returns true regardless of input
C. The validator class does not implement ConstraintValidator
D. The message() method in the annotation returns an empty string

Solution

  1. Step 1: Understand the role of isValid method

    This method contains the validation logic and must return true only for valid inputs.
  2. Step 2: Identify why validation always passes

    If isValid always returns true, invalid data will pass unchecked.
  3. Final Answer:

    The isValid method always returns true regardless of input -> Option B
  4. Quick Check:

    isValid controls validation result; always true means always pass [OK]
Hint: Check isValid method return values first when validation fails [OK]
Common Mistakes:
  • Forgetting to implement ConstraintValidator interface
  • Missing @Target causes compile warnings but not always validation failure
  • Empty message() affects error text, not validation logic
5. You want to create a custom validator annotation @StartsWith that checks if a string starts with a given prefix. Which combination of elements is required to implement this correctly?
hard
A. An annotation interface with a String prefix() method, a validator class implementing ConstraintValidator<StartsWith, String>, and overriding isValid to check the prefix
B. An annotation interface with int length(), a validator class implementing Validator, and overriding validate to check length
C. A class annotated with @Component that implements ConstraintValidator without an annotation interface
D. An annotation interface with String suffix(), a validator class implementing ConstraintValidator<EndsWith, String>, and overriding isValid to check suffix

Solution

  1. Step 1: Define the annotation interface with a prefix parameter

    The annotation must declare a method String prefix() to accept the prefix value.
  2. Step 2: Implement the validator class correctly

    The validator class must implement ConstraintValidator<StartsWith, String> and override isValid to check if the string starts with the given prefix.
  3. Final Answer:

    An annotation interface with a String prefix() method, a validator class implementing ConstraintValidator<StartsWith, String>, and overriding isValid to check the prefix -> Option A
  4. Quick Check:

    Annotation + validator class + isValid checking prefix = correct [OK]
Hint: Match annotation method and validator generic types carefully [OK]
Common Mistakes:
  • Using wrong method names like suffix() for prefix check
  • Implementing wrong interfaces or missing annotation interface
  • Confusing validate() with isValid() method names