Hibernate Validator Reference Guide
JBoss Enterprise Application Platform 5
for Use with JBoss Enterprise Application Platform 5
Edition 5.2.0
Eva Kopalova
Petr Penicka
Russell Dickenson
Scott Mumford
Abstract
The Hibernate Validator Reference Guide for JBoss Enterprise Application Platform and its patch releases.
Chapter 1. Defining constraints
1.1. What is a constraint?
A constraint is a rule that a given element (field, property or bean) has to comply to. The rule semantic is expressed by an annotation. A constraint usually has some attributes used to parameterize the constraints limits. The constraint applies to the annotated element.
1.2. Built in constraints
Hibernate Validator comes with some built-in constraints, which covers most basic data checks. As we will see later, you are not limited to them, you can literally in a minute write your own constraints.
Table 1.1. Built-in constraints
Annotation | Apply on | Runtime checking | Hibernate Metadata impact |
---|---|---|---|
@Length(min=, max=) | property (String) | check if the string length match the range | Column length will be set to max |
@Max(value=) | property (numeric or string representation of a numeric) | check if the value is less than or equals to max | Add a check constraint on the column |
@Min(value=) | property (numeric or string representation of a numeric) | check if the value is more than or equals to min | Add a check constraint on the column |
@NotNull | property | check if the value is not null | Column(s) are not null |
@NotEmpty | property | check if the string is not null nor empty. Check if the connection is not null nor empty | Column(s) are not null (for String) |
@Past | property (date or calendar) | check if the date is in the past | Add a check constraint on the column |
@Future | property (date or calendar) | check if the date is in the future | none |
@Pattern(regex="regexp", flag=) or @Patterns( {@Pattern(...)} ) | property (string) | check if the property match the regular expression given a match flag (see java.util.regex.Pattern ) | none |
@Range(min=, max=) | property (numeric or string representation of a numeric) | check if the value is between min and max (included) | Add a check constraint on the column |
@Size(min=, max=) | property (array, collection, map) | check if the element size is between min and max (included) | none |
@AssertFalse | property | check that the method evaluates to false (useful for constraints expressed in code rather than annotations) | none |
@AssertTrue | property | check that the method evaluates to true (useful for constraints expressed in code rather than annotations) | none |
@Valid | property (object) | perform validation recursively on the associated object. If the object is a Collection or an array, the elements are validated recursively. If the object is a Map, the value elements are validated recursively. | none |
property (String) | check whether the string is conform to the email address specification | none | |
@CreditCardNumber | property (String) | check whether the string is a well formatted credit card number (derivative of the Luhn algorithm) | none |
@Digits(integerDigits=1) | property (numeric or string representation of a numeric) | check whether the property is a number having up to integerDigits integer digits and fractionalDigits fractional digits | define column precision and scale |
@EAN | property (string) | check whether the string is a properly formatted EAN or UPC-A code | none |
1.3. Error messages
Hibernate Validator comes with a default set of error messages translated in about ten languages (if yours is not part of it, please sent us a patch). You can override those messages by creating a
ValidatorMessages.properties
or ( ValidatorMessages_loc.properties
) and override the needed keys. You can even add your own additional set of messages while writing your validator annotations. If Hibernate Validator cannot resolve a key from your resourceBundle nor from ValidatorMessage, it falls back to the default built-in values.
Alternatively you can provide a
ResourceBundle
while checking programmatically the validation rules on a bean or if you want a completely different interpolation mechanism, you can provide an implementation of org.hibernate.validator.MessageInterpolator
(check the JavaDoc for more information).
1.4. Writing your own constraints
Extending the set of built-in constraints is extremely easy. Any constraint consists of two pieces: the constraint descriptor (the annotation) and the constraint validator (the implementation class). Here is a simple user-defined descriptor:
@ValidatorClass(CapitalizedValidator.class) @Target(METHOD) @Retention(RUNTIME) @Documented public @interface Capitalized { CapitalizeType type() default Capitalize.FIRST; String message() default "has incorrect capitalization" }
type
is a parameter describing how the property should to be capitalized. This is a user parameter fully dependent on the annotation business.
message
is the default string used to describe the constraint violation and is mandatory. You can hard code the string or you can externalize part/all of it through the Java ResourceBundle mechanism. Parameters values are going to be injected inside the message when the {parameter}
string is found (in our example Capitalization is not {type}
would generate Capitalization is not FIRST
), externalizing the whole string in ValidatorMessages.properties
is considered good practice. See Section 1.3, “Error messages” .
@ValidatorClass(CapitalizedValidator.class)
@Target(METHOD)
@Retention(RUNTIME)
@Documented
public @interface Capitalized {
CapitalizeType type() default Capitalize.FIRST;
String message() default "{validator.capitalized}";
}
#in ValidatorMessages.properties
validator.capitalized = Capitalization is not {type}
As you can see the {} notation is recursive.
To link a descriptor to its validator implementation, we use the
@ValidatorClass
meta-annotation. The validator class parameter must name a class which implements Validator<ConstraintAnnotation>
.
We now have to implement the validator (ie. the rule checking implementation). A validation implementation can check the value of the a property (by implementing
PropertyConstraint
) and/or can modify the hibernate mapping metadata to express the constraint at the database level (by implementing PersistentClassConstraint
)
public class CapitalizedValidator implements Validator<Capitalized>, PropertyConstraint { private CapitalizeType type; //part of the Validator<Annotation> contract, //allows to get and use the annotation values public void initialize(Capitalized parameters) { type = parameters.type(); } //part of the property constraint contract public boolean isValid(Object value) { if (value==null) return true; if ( !(value instanceof String) ) return false; String string = (String) value; if (type == CapitalizeType.ALL) { return string.equals( string.toUpperCase() ); } else { String first = string.substring(0,1); return first.equals( first.toUpperCase(); } } }
The
isValid()
method should return false if the constraint has been violated. For more examples, refer to the built-in validator implementations.
We only have seen property level validation, but you can write a Bean level validation annotation. Instead of receiving the return instance of a property, the bean itself will be passed to the validator. To activate the validation checking, just annotated the bean itself instead. A small sample can be found in the unit test suite.
If your constraint can be applied multiple times (with different parameters) on the same property or type, you can use the following annotation form:
@Target(METHOD)
@Retention(RUNTIME)
@Documented
public @interface Patterns {
Pattern[] value();
}
@Target(METHOD)
@Retention(RUNTIME)
@Documented
@ValidatorClass(PatternValidator.class)
public @interface Pattern {
String regexp();
}
Basically an annotation containing the value attribute as an array of validator annotations.
1.5. Annotating your domain model
Since you are already familiar with annotations now, the syntax should be very familiar
public class Address { private String line1; private String line2; private String zip; private String state; private String country; private long id; // a not null string of 20 characters maximum @Length(max=20) @NotNull public String getCountry() { return country; } // a non null string @NotNull public String getLine1() { return line1; } //no constraint public String getLine2() { return line2; } // a not null string of 3 characters maximum @Length(max=3) @NotNull public String getState() { return state; } // a not null numeric string of 5 characters maximum // if the string is longer, the message will //be searched in the resource bundle at key 'long' @Length(max=5, message="{long}") @Pattern(regex="[0-9]+") @NotNull public String getZip() { return zip; } // should always be true @AssertTrue public boolean isValid() { return true; } // a numeric between 1 and 2000 @Id @Min(1) @Range(max=2000) public long getId() { return id; } }
While the example only shows public property validation, you can also annotate fields of any kind of visibility
@MyBeanConstraint(max=45) public class Dog { @AssertTrue private boolean isMale; @NotNull protected String getName() { ... }; ... }
You can also annotate interfaces. Hibernate Validator will check all superclasses and interfaces extended or implemented by a given bean to read the appropriate validator annotations.
public interface Named { @NotNull String getName(); ... } public class Dog implements Named { @AssertTrue private boolean isMale; public String getName() { ... }; }
The name property will be checked for nullity when the Dog bean is validated.
Chapter 2. Using the Validator framework
Hibernate Validator is intended to be used to implement multi-layered data validation, where constraints are expressed in a single place (the annotated domain model) and checked in various different layers of the application.
This chapter will cover Hibernate Validator usage for different layers
2.1. Database schema-level validation
Out of the box, Hibernate Annotations will translate the constraints you have defined for your entities into mapping metadata. For example, if a property of your entity is annotated
@NotNull
, its columns will be declared as not null
in the DDL schema generated by Hibernate.
Using hbm2ddl, domain model constraints will be expressed into the database schema.
If, for some reason, the feature needs to be disabled, set
hibernate.validator.apply_to_ddl
to false
.
2.2. ORM integration
Hibernate Validator integrates with both Hibernate and all pure Java Persistence providers
2.2.1. Hibernate event-based validation
Hibernate Validator has two built-in Hibernate event listeners. Whenever a
PreInsertEvent
or PreUpdateEvent
occurs, the listeners will verify all constraints of the entity instance and throw an exception if any constraint is violated. Basically, objects will be checked before any inserts and before any updates made by Hibernate. This includes changes applied by cascade! This is the most convenient and the easiest way to activate the validation process. On constraint violation, the event will raise a runtime InvalidStateException
which contains an array of InvalidValue
s describing each failure.
If Hibernate Validator is present in the classpath, Hibernate Annotations (or Hibernate EntityManager) will use it transparently. If, for some reason, you want to disable this integration, set
hibernate.validator.autoregister_listeners
to false
Note
If the beans are not annotated with validation annotations, there is no runtime performance cost.
In case you need to manually set the event listeners for Hibernate Core, use the following configuration in
hibernate.cfg.xml
:
<hibernate-configuration> ... <event type="pre-update"> <listener class="org.hibernate.validator.event.ValidateEventListener"/> </event> <event type="pre-insert"> <listener class="org.hibernate.validator.event.ValidateEventListener"/> </event> </hibernate-configuration>
2.2.2. Java Persistence event-based validation
Hibernate Validator is not tied to Hibernate for event based validation: a Java Persistence entity listener is available. Whenever an listened entity is persisted or updated, Hibernate Validator will verify all constraints of the entity instance and throw an exception if any constraint is violated. Basically, objects will be checked before any inserts and before any updates made by the Java Persistence provider. This includes changes applied by cascade! On constraint violation, the event will raise a runtime
InvalidStateException
which contains an array of InvalidValue
s describing each failure.
Here is how to make a class validatable:
@Entity @EntityListeners( JPAValidateListener.class ) public class Submarine { ... }
Note
Compared to the Hibernate event, the Java Persistence listener has two drawbacks. You need to define the entity listener on every validatable entity. The DDL generated by your provider will not reflect the constraints.
2.3. Application-level validation
Hibernate Validator can be applied anywhere in your application code.
ClassValidator personValidator = new ClassValidator( Person.class ); ClassValidator addressValidator = new ClassValidator( Address.class, ResourceBundle.getBundle("messages", Locale.ENGLISH) ); InvalidValue[] validationMessages = addressValidator.getInvalidValues(address);
The first two lines prepare the Hibernate Validator for class checking. The first one relies upon the error messages embedded in Hibernate Validator (see Section 1.3, “Error messages”), the second one uses a resource bundle for these messages. It is considered a good practice to execute these lines once and cache the validator instances.
The third line actually validates the
Address
instance and returns an array of InvalidValue
s. Your application logic will then be able to react to the failure.
You can also check a particular property instead of the whole bean. This might be useful for property per property user interaction
ClassValidator addressValidator = new ClassValidator( Address.class, ResourceBundle.getBundle("messages", Locale.ENGLISH) ); //only get city property invalid values InvalidValue[] validationMessages = addressValidator.getInvalidValues(address, "city"); //only get potential city property invalid values InvalidValue[] validationMessages = addressValidator.getPotentialInvalidValues("city", "Paris");
2.4. Presentation layer validation
When working with JSF and JBoss Seam, one can triggers the validation process at the presentation layer using Seam's JSF tags
<s:validate>
and <s:validateAll/>
, letting the constraints be expressed on the model, and the violations presented in the view
<h:form> <div> <h:messages/> </div> <s:validateAll> <div> Country: <h:inputText value="#{location.country}" required="true"/> </div> <div> Zip code: <h:inputText value="#{location.zip}" required="true"/> </div> <div> <h:commandButton/> </div> </s:validateAll> </h:form>
Going even further, and adding Ajax4JSF to the loop will bring client side validation with just a couple of additional JSF tags, again without validation definition duplication.
Check the JBoss Seam documentation for more information.
2.5. Validation information
As a validation information carrier, hibernate provide an array of
InvalidValue
. Each InvalidValue
has many methods describing the individual issues.
getBeanClass()
retrieves the failing bean type
getBean()
retrieves the failing instance (if any ie not when using getPotentianInvalidValues()
)
getValue()
retrieves the failing value
getMessage()
retrieves the proper internationalized error message
getRootBean()
retrieves the root bean instance generating the issue (useful in conjunction with @Valid
), is null if getPotentianInvalidValues() is used.
getPropertyPath()
retrieves the dotted path of the failing property starting from the root bean
Appendix A. Revision History
Revision History | ||||
---|---|---|---|---|
Revision 5.2.0-100.400 | 2013-10-30 | Rüdiger Landmann | ||
| ||||
Revision 5.2.0-100 | Wed 23 Jan 2013 | Russell Dickenson | ||
| ||||
Revision 5.1.2-100 | Thu Dec 8 2011 | Jared Morgan | ||
| ||||
Revision 5.1.1-100 | Mon Jul 18 2011 | Jared Morgan | ||
| ||||
Revision 5.1.0-100 | Wed Sep 15 2010 | Laura Bailey | ||
|
Legal Notice
Copyright © 2012 Red Hat, Inc.
This document is licensed by Red Hat under the Creative Commons Attribution-ShareAlike 3.0 Unported License. If you distribute this document, or a modified version of it, you must provide attribution to Red Hat, Inc. and provide a link to the original. If the document is modified, all Red Hat trademarks must be removed.
Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law.
Red Hat, Red Hat Enterprise Linux, the Shadowman logo, JBoss, OpenShift, Fedora, the Infinity logo, and RHCE are trademarks of Red Hat, Inc., registered in the United States and other countries.
Linux® is the registered trademark of Linus Torvalds in the United States and other countries.
Java® is a registered trademark of Oracle and/or its affiliates.
XFS® is a trademark of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries.
MySQL® is a registered trademark of MySQL AB in the United States, the European Union and other countries.
Node.js® is an official trademark of Joyent. Red Hat Software Collections is not formally related to or endorsed by the official Joyent Node.js open source or commercial project.
The OpenStack® Word Mark and OpenStack logo are either registered trademarks/service marks or trademarks/service marks of the OpenStack Foundation, in the United States and other countries and are used with the OpenStack Foundation's permission. We are not affiliated with, endorsed or sponsored by the OpenStack Foundation, or the OpenStack community.
All other trademarks are the property of their respective owners.