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How evil are Data Transfer Objects (DTOs)? : Adam Bien's Weblog - 0 views

  • How evil are Data Transfer Objects (DTOs)?
  • In certain situations, they become the necessary tool or workaround to solve a particular problem
  • Some relations are probably going to be collapsed, attributes renamed and even types changed
  • ...1 more annotation...
  • It is perfect valid to introduce a dedicated DTO to adapt an incompatible domain layer
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15 Tips on JPA Rich Domain Modelling - Thinking In Objects - Not Mappings [For Greenfie... - 0 views

  • [For Greenfields]
  • Try to identify concepts and abstractions from the target domain. Use them as candidates for entities.
  • Do not obfuscate them with additional technical naming conventions like XYZEntity or "BOs".
  • ...10 more annotations...
  • Write unit tests
  • without involving the EntityManager
  • - Thinking In Objects
  • JPA Rich Domain Modelling
    • kuni katsuya
       
      strategy to use when less or unconstrained by legacy db schema baggage. ie. the *proper* and *ideal* way to model domain classes... using oo, not dumb structs!  :)
  • Build objects, not structs
  • Think about builders
  • Let the tool (JPA-provider) generate the DDL
    • kuni katsuya
       
      generated ddl can be optimized by hand if required
    • kuni katsuya
       
      eg. see step 12 below
  • Provide a lean facade/service layer
  • only contain crosscutting concerns
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3 ways to serialize Java Enums | Vineet Manohar's blog - 0 views

  • Mapping enum to database column using JPA/Hibernate You can use any of the 3 approaches discussed above. Map the enum to an integer column. The persistence implementation should automatically convert enum to ordinal() and back for you. Map the enum to a String column. The persistence implementation should automatically convert the enum value to String value via the name() function. Map the enum using a business value. You should mark the enum field as @Transient, and create another String field which you can map to a String column in your database table. Here’s an example code snippet. view plaincopy to clipboardprint?@Entity  public class Product {   @Column   private String colorValue;     @Transient   public Color getColor() {    return Color.fromValue(colorValue);   }     public void setColor(Color color) {    this.colorValue = color.toValue();   }  }  
  • Approach 3: Using a user defined business value – Recommended approach! This approach involves assigning a an explicit user defined value to each enum constant and defining a toValue() and fromValue() methods on the enum to do the serialization and deserialization.
  • public enum Color {   RED("RED"), GREEN("GREEN"), BLUE("BLUE"), UNKNOWN("UNKNOWN");     private final String value;     Color(String value) {     this.value = value;   }     public static Color fromValue(String value) {     if (value != null) {       for (Color color : values()) {         if (color.value.equals(value)) {           return color;         }       }     }       // you may return a default value     return getDefault();     // or throw an exception     // throw new IllegalArgumentException("Invalid color: " + value);   }     public String toValue() {     return value;   }     public static Color getDefault() {     return UNKNOWN;   }  }  public enum Color { RED("RED"), GREEN("GREEN"), BLUE("BLUE"), UNKNOWN("UNKNOWN"); private final String value; Color(String value) { this.value = value; } public static Color fromValue(String value) { if (value != null) { for (Color color : values()) { if (color.value.equals(value)) { return color; } } } // you may return a default value return getDefault(); // or throw an exception // throw new IllegalArgumentException("Invalid color: " + value); } public String toValue() { return value; } public static Color getDefault() { return UNKNOWN; } } This approach is better than approach 1 and approach 2 above. It neither depends on the order in which the enum constants are declared nor on the constant names.
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Interview of GraniteDS founders | RIAgora - 0 views

  • explained the origin of GraniteDS and the differences with LiveCycle Data Services
  • ActionScript3 reflection API
  • GraniteDS 2.2
  • ...8 more annotations...
  • JSR-303 (“Bean Validation”) ActionScript3 framework for form validation
  • validation framework is a specific adaptation of the JSR-303 (Bean Validation) specification to Flex: like its Java counterpart, it relies on validation annotations placed on bean properties and provides an engine API that lets you validate your forms without writing by hand a specific validator for each of your input fields
  • code generation tools provided by GraniteDS so that when you write your Java entity bean with validation annotations, they are automatically replicated in your ActionScript3 beans
  • problem with LCDS is mainly that it promotes a strict “client / server” architecture, with – roughly speaking – a heavy Flex client application connected to a server almost reduced to a database frontend
  • big majority of  these organizations use BlazeDS, a free and open-source subset of LCDS
  • need more advanced mechanisms than just Remoting start looking for open-source libraries to enable deeper integrations with the Java business layer, and GraniteDS is for sure the most popular project
  • “Flex Data Services” (now renamed to “Live Cycle Data Services”)
  • Flex Data Services seemed too “client-centric”
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8. Bean Validation (JSR-303) - Confluence - 0 views

  • "Bean Validation" specification (aka JSR-303) standardizes an annotation-based validation framework for Java
  • Flex doesn't provide by itself such framework. The standard way of processing validation is to use Validator subclasses and to bind each validator to each user input (see Validating data). This method is at least time consuming for the developer, source of inconsistancies between the client-side and the server-side validation processes, and source of redundancies in your MXML code.
  • GraniteDS introduces an ActionsScript3 implementation of the Bean Validation specification and provides code generation tools integration so that your Java constraint annotations are reproduced in your AS3 beans
  • ...16 more annotations...
  • GraniteDS validation framework provides a set of standard constraints
  • Constraint Description AssertFalse The annotated element must be false AssertTrue The annotated element must be true DecimalMax The annotated element must be a number whose value must be lower or equal to the specified maximum DecimalMin The annotated element must be a number whose value must be greater or equal to the specified minimum Digits The annotated element must be a number whithin accepted range Future The annotated element must be a date in the future Max The annotated element must be a number whose value must be lower or equal to the specified maximum Min The annotated element must be a number whose value must be greater or equal to the specified minimum NotNull The annotated element must not be null Null The annotated element must be null Past The annotated element must be a date in the past Pattern The annotated String must match the supplied regular expression Size The annotated element size must be between the specified boundaries (included)
  • Constraint annotations must be placed on public properties, either public variables or public accessors
  • -keep-as3-metadata+=AssertFalse,AssertTrue,DecimalMax,DecimalMin, Digits,Future,Max,Min,NotNull,Null,Past,Pattern,Size
  • must use
  • keep the constraint annotations in your compiled code
  • Error Messages and Localization
  • {name.notnull}
  • {name.minsize}
  • use the built-in ResourceBundle support offered by Flex:
  • to add support for different locales
  • follow the same principle:
  • create a ValidationMessages.properties for the new locale
  • translate all default error messages and add new ones for your customized message keys
  • Note that the bundle name must always be set to "ValidationMessages".
  • Using the FormValidator Class
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Article Series: Migrating Spring Applications to Java EE 6 - Part 1 | How to JBoss - 1 views

  • In fact people still love those books without realizing that the world has changed dramatically ever since
  • The reality check here is to wonder whether the rhetorics set forth by Rod Johnson in his 2003/2004 books are still actual today
  • So if you still care about those books, the best way to show your appreciation is probably to use them as your monitor stand
  • ...21 more annotations...
  • The discussion whether or not to use Spring vs. Java EE for new enterprise Java applications is a no-brainer
  • Why migrate?
  • since then fallen a prey to the hungry minds of Venture Capitalists and finally into the hands of a virtualization company called VMware
  • While the different companies and individuals behind the Spring framework have been doing some work in the JCP their voting behavior on important JSRs is peculiar to say the least
  • outdated ORM solution like JDBC templates
  • some developers completely stopped looking at new developments in the Java EE space and might have lost track of the current state of technology
  • size of the deployment archive
  • fairly standard Java EE 6 application will take up about 100 kilobytes
  • comparable Spring application weighs in at a whopping 30 Megabytes!
  • Lightweight
  • Firing up the latest JBoss AS 7 Application Server from scratch and deploying a full blown Java EE 6 application into the server takes somewhere between two and five seconds on a standard machine. This is in the same league as a Tomcat / Spring combo
  • Dependency injection
  • Java EE 6, the Context and Dependency Injection (CDI) specification was introduced to the Java platform, which has a very powerful contextual DI model adding extensibility of injectable enterprise services
  • Aspect Oriented Programming
  • “AOP Light” and this is exactly what Java EE Interceptors do
  • common pitfall when taking AOP too far is that your code might end up all asymmetric and unreadable. This is due to the fact that the aspect and its implementation are not in the same place. Determining what a piece of code will do at runtime at a glance will be really hard
  • Testing
  • With Arquillian we can get rid of mocking frameworks and test Java EE components in their natural environment
  • Tooling
  • capabilities comparison matrix below to map Spring’s technology to that of Java EE
  • Capability Spring JavaEE Dependency Injection Spring Container CDI Transactions AOP / annotations EJB Web framework Spring Web MVC JSF AOP AspectJ (limited to Spring beans) Interceptors Messaging JMS JMS / CDI Data Access JDBC templates / other ORM / JPA JPA RESTful Web Services Spring Web MVC (3.0) JAX-RS Integration testing Spring Test framework Arquillian *
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Getting Started Developing Applications Guide - JBoss AS 7.0 - Project Documentation Ed... - 0 views

  • Getting Started Developing Applications Guide
  • Installing and starting JBoss AS on Windows
  • Starting JBoss AS from Eclipse with JBoss Tools
  • ...1 more annotation...
  • CDI + JSF + EJB + JTA + Bean Validation + JAX-RS + Arquillian: Kitchensink quickstart
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