You could increase the validators by adding a Bean Validation on it and, for example, defining the email property from User with an @Email constraint.
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Foreword
- Contributors
- Preface
- New Features and Improvements
- Running your first Bean Validation 2.0 code
- Running your first CDI 2.0 code
- Running your first JAX-RS 2.1 code
- Running your first JSF 2.3 code 
- Running your first JSON-P 1.1 code 
- Running your first JSON-B code 
- Running your first Servlet 4.0 code 
- Running your first Security API code 
- Running your first MVC 1.0 code 
- Server-Side Development
- Using CDI to inject context and dependency
- Using Bean Validation for data validation
- Using servlet for request and response management
- Using Server Push to make objects available beforehand
- Using EJB and JTA for transaction management
- Using EJB to deal with concurrency
- Using JPA for smart data persistence
- Using EJB and JPA for data caching
- Using batch processing
- Building Powerful Services with JSON and RESTful Features
- Web- and Client-Server Communication
- Security of Enterprise Architecture
- Reducing the Coding Effort by Relying on Standards
- Deploying and Managing Applications on Major Java EE Servers
- Building Lightweight Solutions Using Microservices
- Using Multithreading on Enterprise Context
- Using Event-Driven Programming to Build Reactive Applications
- Introduction
- Building reactive applications using asynchronous servlets
- Building reactive applications using events and observers
- Building reactive applications using websockets
- Building reactive applications using message-driven beans
- Building reactive applications using JAX-RS
- Building reactive applications using asynchronous session beans
- Using lambdas and CompletableFuture to improve reactive applications
- Rising to the Cloud – Java EE, Containers, and Cloud Computing
- Appendix: The Power of Sharing Knowledge
- Other Books You May Enjoy
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