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implementation of the Flex remoting protocol and of the AMF3 data format, with out-of-the-box adapters for all usual Java frameworks

highly recommended to use JPA optimistic locking in a multi-tier environment (@Version annotation)

Tip The easiest and recommended way for getting Tide enabled managed entities is to generate them from Java classes with Gas3 or the GDS Eclipse builder using the tide="true" option.

In a typical Flex/app server/database application, an entity lives in three layers: the Flex client the Hibernate/JPA persistence context the database

only invariant is the id.

id reliably links the different existing versions of the entity in the three layers

Baseline Diagram Comparison Conduct a visual diagram comparison between your current diagram and a previous baseline .

Personal Information Window See how the Personal Information Window in Enterprise Architect can help you organize your daily tasks and workflow.

Working Sets As you perform work on your model, you open various windows, diagrams and views. Working Sets allow you to return to these same views in a later work session.

Business Rules A car rental system is used to illustrate how to generate executable business rules using Enterprise Architect.

Spring, Seam, Ejb, Cdi

Client-side setup for remoting

initialize manually the Flex remoting channels that will be used by Tide

use the DefaultServiceInitializer component

highly type-safe

consistent

portable

CDI enhances the Java EE programming model in two more important ways

allows you to use EJBs directly as JSF backing beans

CDI allows you to manage the scope, state, life-cycle and context for objects in a much more declarative fashion, rather than the programmatic way

CDI has no component model of its own

set of services that are consumed by Java EE components such as managed beans, Servlets and EJBs.

well-defined create/destroy life-cycle that you can get callbacks for via the @PostConstruct and @PreDestroy annotations.

Managed beans

annotation

CDI also integrates with JSF via EL bean name resolution

CDI does not directly support business component services such as transactions, security, remoting, messaging

JSR 330 defines a minimalistic API for dependency injection solutions and is primarily geared towards non-Java EE environments.

Figure 1 shows how CDI fits with the major APIs in the Java EE platform.

none of this uses string names that can be mistyped and all the code is in Java and so is checked at compile time

are additional pieces of meta-data that narrow down a particular class when more than one candidate for injection exists

JPA 2.0, still contains only a subset of the features supported by many database vendors

features not supported in JP QL.

performance required by an application is to replace the JP QL query with a hand-optimized SQL version. This may be a simple restructuring of the query that the persistence provider was generating, or it may be a vendor-specific version that leverages query hints and features specific to a particular database.

recommend avoiding SQL initially if possible and then introducing it only when necessary

benefits of SQL query support is that it uses the same Query interface used for JP QL queries. With some small exceptions that will be described later, all the Query interface operations discussed in previous chapters apply equally to both JP QL and SQL queries.

keep application code consistent because it needs to concern itself only with the EntityManager and Query interfaces.

An unfortunate result of adding the TypedQuery interface in JPA 2.0 is that the createNativeQuery() method was already defined in JPA 1.0 to accept a SQL string and a result class and return an untyped Query interface

consequence is that when the createNativeQuery() method is called with a result class argument one might mistakenly think it will produce a TypedQuery, like createQuery() and createNamedQuery() do when a result class is passed in.

@NamedNativeQuery

resultClass=Employee.class

The fact that the named query was defined using SQL instead of JP QL is not important to the caller

SQL Result Set Mapping

JPA provides SQL result set mappings to handle these scenarios

A SQL result set mapping is defined using the @SqlResultSetMapping annotation. It may be placed on an entity class and consists of a name (unique within the persistence unit) and one or more entity and column mappings.

entities=@EntityResult(entityClass=Employee.class)

@SqlResultSetMapping

Multiple Result Mappings

A query may return more than one entity at a time

The SQL result set mapping to return both the Employee and Address entities out of this query

emp_id, name, salary, manager_id, dept_id

address_id, id, street, city, state, zip

order in which the entities are listed is not important

ntities={@EntityResult(entityClass=Employee.class), @EntityResult(entityClass=Address.class)}

Example of injecting an EntityManager and EntityManagerFactory in a SessionBean

@Stateless

@PersistenceContext(unitName="acme") private EntityManager entityManager;

granite-beanvalidation.jar if you want to benefit from the integration with the Bean Validation API

configuration file declares 3 differents things

Channel endpoint

Service factories

Service/destinations

destinations using this factory will route incoming remote calls to EJB 3

endpoint

factory 

destination

channel 

factory

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”

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)

must use

Note that the bundle name must always be set to "ValidationMessages".

how to perform integration tests of you Java EE 6 application using Arquillian