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kuni katsuya

Chapter 14. Tide client framework - 0 views

  • Tide client framework
  • framework features
  • Dependency Injection
  • ...18 more annotations...
  • Event Bus
  • Contextual Components and Conversations
  • Contexts and Components
  • two main kinds of contexts:
  • global context
  • unique context that exists during the whole lifetime of the Flex application
  • compared to to the server-side session
  • conversation contexts
  • temporary contexts that can be created and destroyed at any time during the lifetime of the application
  • can exist simultaneously
  • isolated from each other
  • Components are stateful objects that can be of any ActionScript 3 class with a default constructor
  • have a name
  • A context is mostly a container for component instances
  • three available scopes:
  • session scope
  • conversation scope
  • event scope
  •  
    "Tide client framework"
kuni katsuya

Chapter 10. Integration with CDI - 0 views

  • Chapter 10. Integration with CDI
  • GraniteDS provides out-of-the-box integration with CDI via the Tide API
  • GraniteDS also integrates with container security for authentication and role-based authorization
  • ...37 more annotations...
  • always have to include this library in either WEB-INF/lib
  • support for CDI is included in the library granite-cdi.jar
  • 10.1. Configuration with Servlet 3 On Servlet 3 compliant containers, GraniteDS can use the new APIs to automatically register its own servlets and filters and thus does not need any particular configuration in web.xml. This automatic setup is triggered when GraniteDS finds a class annotated with @FlexFilter in one of the application archives:
  • @FlexFilter(configProvider=CDIConfigProvider.class) public class GraniteConfig { }  
  • list of annotation names that enable remote access to CDI beans
  • ConfigProvider
  • override these values by setting them in the annotation properties
  • tide=true,         type="cdi",         factoryClass=CDIServiceFactory.class,         tideInterfaces={Identity.class}
  • @FlexFilter declaration will setup an AMF processor for the specified url pattern
  • tideAnnotations
  • defines suitable default values
  • @TideEnabled
  • @RemoteDestination
  • always declared by default
  • tideInterfaces
  • tideRoles
  • exceptionConverters
  • amf3MessageInterceptor
  • 10.3.2. Typesafe Remoting with Dependency Injection
  • It is possible to benefit from even more type safety by using the annotation [Inject] instead of In. When using this annotation, the full class name is used to find the target bean in the CDI context instead of the bean name.
  • Security
  • integration between the client RemoteObject credentials and the server-side container security
  • client-side component named
  • identity
  • API to define runtime authorization checks on the Flex UI
  • login()
  • logout()
  • login(username, password, loginResult, loginFault)
  • logout()
  • bindable property
  • represents the current authentication state
  • loggedIn
  • identity.loggedIn 
  • integrated with server-side role-based security
  • identity.hasRole('admin')
  • clear the security cache manually with
  • identity.clearSecurityCache()
kuni katsuya

Dependency Injection in Java EE 6 - Part 1 - 0 views

  • Dependency Injection in Java EE 6 - Part 1
  • high-level look at CDI, see how it fits with Java EE overall and discuss basic dependency management as well as scoping.
  • CDI is designed to solve
  • ...21 more annotations...
  • 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
  • @ManagedBean
  • 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
  • Dependency Injection for Java
  • JSR 330
  • 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
  • Qualifiers
  • are additional pieces of meta-data that narrow down a particular class when more than one candidate for injection exists
kuni katsuya

JBoss Developer Framework - 0 views

  • jta-crash-rec Crash Recovery, JTA Uses Java Transaction API and JBoss Transactions to demonstrate recovery of a crashed transaction
  • jts-distributed-crash-rec JTS Demonstrates recovery of distributed crashed components
  • cdi-injection CDI Demonstrates the use of CDI 1.0 Injection and Qualifiers with JSF as the front-end client.
  • ...13 more annotations...
  • bean-validation JPA, Bean Validation Shows how to use Arquillian to test Bean Validation
  • ejb-security Security, EJB Shows how to use Java EE Declarative Security to Control Access to EJB 3
  • payment-cdi-event CDI Demonstrates how to use CDI 1.0 Events
  • richfaces-validation RichFaces Demonstrates RichFaces and bean validation
  • ejb-in-war JSF, WAR, EJB Packages an EJB JAR in a WAR
  • greeter EJB, JPA, JSF, JTA, CDI Demonstrates the use of CDI 1.0, JPA 2.0, JTA 1.1, EJB 3.1 and JSF 2.0
  • helloworld-mdb EJB, MDB, JMS Demonstrates the use of JMS 1.1 and EJB 3.1 Message-Driven Bean
  • helloworld-rs JAX-RS, CDI Demonstrates the use of CDI 1.0 and JAX-RS
  • kitchensink BV, EJB, JAX-RS, JPA, JPA, JSF, CDI
  • servlet-async CDI, EJB, Servlet Demonstrates CDI, plus asynchronous Servlets and EJBs
  • servlet-security Security, Servlet Demonstrates how to use Java EE declarative security to control access to Servlet 3
  • shopping-cart EJB Demonstrates a stateful session bean
  • tasks Arquillian, JPA Demonstrates testing JPA using Arquillian
kuni katsuya

Lean service architectures with Java EE 6 - JavaWorld - 0 views

  • key ingredients of a service-oriented component: Facade: Provides simplified, centralized access to the component and decouples the client from the concrete services. It is the network and transaction boundary. Service: The actual implementation of business logic. Domain structure: This is a structure rather than an object. It implements the component's persistence and exposes all of its state to the services, without encapsulation.
  • This convention not only standardizes the structure and improves maintainability, but also allows automatic dependency validation with frameworks like JDepend, Checkstyle,  Dependometer, SonarJ, or XRadar. You can even perform the validation at build time. If you do, the continuous build would break on violation of defined dependencies. The rules are clearly defined with strict layering: a facade may access a service, and the service a domain object, but not vice versa
kuni katsuya

Pro JPA 2: Mastering the Java™ Persistence API > Advanced Topics > SQL Querie... - 0 views

  • queries are also known as native queries
  • SQL Queries
  • reasons why a developer using JP QL might want to integrate SQL queries into their application
  • ...32 more annotations...
  • 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)}
  • expected result type and therefore received an instance of TypedQuery that is bound to the expected type. By qualifying the result type in this way, the getResultList() and getSingleResult() methods return the correct types without the need for casting.
  • Defining a Class for Use in a Constructor Expression
  • public EmpMenu(String employeeName, String departmentName)
  • List<EmpMenu>
  • NEW example.EmpMenu(" + "e.name, e.department.name)
  • EmpMenu.class
  • createNamedQuery() can return a TypedQuery whereas the createNativeQuery() method returns an untyped Query
  • List<Employee>
  • createNamedQuery("orgStructureReportingTo", Employee.class)
kuni katsuya

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 *
kuni katsuya

Chapter 15. Data Management - 1 views

  •  abstractEntity.uid();
    • kuni katsuya
       
      sets the uid before persist
  •  UUID.randomUUID().toString();
  • AbstractEntity 
  • ...70 more annotations...
  • @MappedSuperclass
  • Important things on ID/UID
  • entity lives in three layers:
  • Flex client
  • JPA persistence context
  • database
  • When updating existing entities coming from the database
  • id is defined and is maintained in the three layers during the different serialization/persistence operations
  • when a new entity is being created in any of the two upper layers (Flex/JPA)
  • new entity has no id until it has been persisted to the database
  • most common solution is to
  • have a second persisted id, the uid
  • which is created by the client and persisted along with the entity
  • recommended approach to avoid any kind of subtle problems is to have a real uid property which will be persisted in the database but is not a primary key for efficiency concerns
  • You can now ask Tide to
  • limit the object graph before sending it
  • Flex with the following API :
  • EntityGraphUnintializer
  • uninitializeEntityGraph
  • Person object will be uninitialized
  • uperson contains
  • only the minimum of data
  • to correctly merge your changes in the server persistence context
  • Tide uses the
  • client data tracking
  • to determine which parts of the graph need to be sent
  • Calling the EntityGraphUninitializer manually is a bit tedious and ugly, so there is a cleaner possibility when you are using generated typesafe service proxies
  • annotate your service method arguments with @org.granite.tide.data.Lazy :
  • @Lazy
  • take care that you have added the [Lazy] annotation to your Flex metadata compilation configuration
  • in the Flex application, register the UninitializeArgumentPreprocessor component in Tide as follows :
  • [UninitializeArgumentPreprocessor]
  • all calls to PersonService.save() will
  • automatically use a properly uninitialized version
  • of the person argument.
  • 15.4. Dirty Checking and Conflict Handling
  • simplify the handling of data between Flex and Java EE
  • Chapter 15. Data Management
  • Tide maintains a client-side cache of entity instances and ensures that every instance is unique in the Flex client context
  •  uid().hashCode();
  • Tide currently only supports Integer or Long version fields, not timestamps and that the field must be nullable
  • in a multi-tier environment (@Version annotation)
  • highly recommended to use
  • JPA optimistic locking
  • highly recommended to add a
  • persistent uid field
  • AbstractEntity
  • in general this identifier will be
  • initialized from Flex
  • @Column(name="ENTITY_UID", unique=true, nullable=false, updatable=false, length=36)     private String uid;
  • @Version     private Integer version;
  • uid().equals(((AbstractEntity)o).uid())
  • consistent identifier through all application layers
  • @PrePersist
  • 15.3. Reverse Lazy Loading
  • 15.4. Dirty Checking and Conflict Handling
  • 15.4. Dirty Checking and Conflict Handling
  • 15.4. Dirty Checking and Conflict Handling
  • Dirty Checking and Conflict Handling
  • entity instance can be in two states :
  • Stable
  • Dirty
  • property meta_dirty is
  • bindable
  • could be used
  • to enable/disable a Save button
  • correct way of knowing if any object has been changed in the context, is to use the property meta_dirty of the Tide context
  • tideContext.meta_dirty
  • reliable when using optimistic locking
  • check that its @Version field has been incremented
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