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Hendy Irawan

Easy restfull JAX-RS webservices and extended WADL on Glassfish v3 (using ant.) - 0 views

www.verborgh.be/...adl-on-glassfish-v3-using-ant-

wadl and jax easy restfull v3 webservices glassfish

shared by Hendy Irawan on 04 Apr 11 - Cached
  • Hendy Irawan on 04 Apr 11
     
    "So, we are going to look at a restful webservice that is going to generate XML. As you might know, we have the perfect JSR specification for that in the form of JAXB. The needed libraries are already available in Netbeans 6.8. And as you might have guessed, returning JAXB objects from a JAX-RS method is going to integrate naturally and take some strain from our shoulders. No need to marshal and unmarshal by ourself. "
Hendy Irawan

snakeyaml - YAML parser and emitter for Java - Google Project Hosting - 0 views

code.google.com/snakeyaml

yaml java parser serialization and library opensource snakeyaml

shared by Hendy Irawan on 29 Apr 11 - Cached
  • Hendy Irawan on 29 Apr 11
     
    YAML is a data serialization format designed for human readability and interaction with scripting languages. SnakeYAML is a YAML parser and emitter for the Java programming language. SnakeYAML features a complete YAML 1.1 parser. In particular, SnakeYAML can parse all examples from the specification. Unicode support including UTF-8/UTF-16 input/output. high-level API for serializing and deserializing native Java objects. support for all types from the YAML types repository. relatively sensible error messages.
Hendy Irawan

Eclipse Gemini Blueprint - Home - 0 views

www.eclipse.org/blueprint

eclipse blueprint gemini java osgi

shared by Hendy Irawan on 07 May 11 - No Cached
  • Hendy Irawan on 07 May 11
     
    Eclipse Gemini Blueprint is the reference implementation for the OSGi Alliance Blueprint Service (chapter 121 of the OSGi 4.2 Compendium Specification). Gemini Blueprint project makes it easy to build Java applications that run in an OSGi framework. By using Gemini Blueprint, applications benefit from using a better separation of modules, the ability to dynamically add, remove, and update modules in a running system, the ability to deploy multiple versions of a module simultaneously (and have clients automatically bind to the appropriate one), and a dynamic service model. Gemini users may also be interested in Eclipse Virgo, an open source, completely modular, OSGi-based Java application server. Its documentation is considered a supplement to Gemini Blueprint as it explains in detail, how OSGi can be used in various development and production scenarios.
mahesh 1234

Method Overriding in Java - 0 views

www.javatpoint.com/method-overriding-in-java

java Development programming web framework

shared by mahesh 1234 on 24 Dec 13 - No Cached
  • mahesh 1234 on 24 Dec 13
     
    Having the same method in the subclass as declared in the parent class is known as method overriding. In other words, If subclass provides the specific implementation of the method i.e. already provided by its parent class, it is known as Method Overriding.
Rinav G

[JavaSpecialists 177] - Logging Part 3 of 3 - 0 views

www.javaspecialists.eu/...Issue177.html

java javaspecialists logging bestpractices

shared by Rinav G on 17 Sep 10 - No Cached
  • Writing your own logging framework is the perfect coding crime.
  • Writing your own logging framework is the perfect coding crime
  • Even the Sun engineers fell into this trap. Prior to Java 4, we had a perfectly good logging framework in Log4J. However, instead of adopting this into the standard Java distribution, we ended up with java.util.logging. There are lots of Java logging frameworks available, even meta-logging frameworks like SLF4J and Jakarta Commons. These are supposed to abstract the logging frameworks so you can change the implementation without touching your code.
  • ...5 more annotations...
  • Logging Levels
  • In Log4J for example, we have six default levels, FATAL, ERROR, WARNING, INFO, DEBUG and TRACE.
  • Since it is tricky assigning the correct levels in our code, we should regularly do code reviews with specific emphasis on logging levels.
  • We should be able to adjust the log levels of our individual components at runtime without restarting our application.
  • Silent Operation
  • Rinav G on 17 Sep 10
     
    Writing your own logging framework is the perfect coding crime. If you can convince your manager to put it on the project plan, you are guaranteed to have success. At the end of each day, you will go home feeling happy and satisfied. It will feel like you are doing something creative. You will get the intellectual stimulation without the risk of failure. Even the Sun engineers fell into this trap. Prior to Java 4, we had a perfectly good logging framework in Log4J. However, instead of adopting this into the standard Java distribution, we ended up with java.util.logging. There are lots of Java logging frameworks available, even meta-logging frameworks like SLF4J and Jakarta Commons. These are supposed to abstract the logging frameworks so you can change the implementation without touching your code. http://www.javaspecialists.eu/archive/Issue177.html
Davor Poldrugo

Oracle and IBM Collaborate to Accelerate Java Innovation Through OpenJDK - 0 views

www.oracle.com/...176988

java opensource openjdk oracle ibm

shared by Davor Poldrugo on 01 Dec 10 - No Cached
  • Davor Poldrugo on 01 Dec 10
     
    Oct. 11, 2010 - Oracle and IBM today announced that the companies will collaborate to allow developers and customers to build and innovate based on existing Java investments and the OpenJDK reference implementation. Specifically, the companies will collaborate in the OpenJDK community to develop the leading open source Java environment.
anonymous

Getting Started with RequestFactory - Google Web Toolkit - Google Code - 0 views

code.google.com/...DevGuideRequestFactory.html

shared by anonymous on 10 Jan 11 - No Cached
  • Entity Proxies
    • anonymous
      anonymous on 10 Jan 11
       
      Proxy type (on the Client) vs Entity type (on the server)
  • proxy types
  • entity types
  • ...147 more annotations...
  • methods that return service stubs
  • one RequestFactory interface for your application
  • employeeRequest();
  • @Service(Employee.class)
  • extends RequestContext
  • extends RequestFactory
  • service stub
  • RequestFactory service stubs
  • must extend RequestContext
  • The methods in a service stub do not return entities directly
  • return subclasses of com.google.gwt.requestfactory.shared.Request.
  • This allows the methods on the interface to be invoked asynchronously with
  • Request.fire()
  • fire(    new Receiver()
  • onSuccess
  • callers pass an AsyncCallback that implements onSuccess()
  • takes a Receiver which must implement onSuccess()
  • Receiver is an abstract class having a default implementation of onFailure()
  • you can extend Receiver and override onFailure()
  • onViolation()
  • any constraint violations on the server
  • The Request type returned from each method
  • parameterized with the return type of the service method.
  • Methods that have no return value should return type Request<Void>
  • BigDecimal, BigInteger, Boolean, Byte, Enum, Character, Date, Double, Float, Integer, Long, Short, String, Void
  • subclass of EntityProxy
  • List<T> or Set<T>
  • primitive types are not supported
  • methods that operate on an entity itself
  • like persist() and remove()
  • return objects of type InstanceRequest rather than Reques
  • Server Implementations
  • methods defined in an
  • entity's service interface
  • implemented in the class named
  • @Service annotation
  • in these examples, is the entity class
  • service implementations do not directly implement the RequestContext interface
  • server-side implementations use the domain entity types
  • @Entity
  • EntityManager
  • createQuery
  • getResultList();
  • entityManager()
  • createEntityManager()
  • em.persist(this);
  • em.remove(attached
  • em.close();
  • defined in the service's
  • RequestContext interface
  • even though the implementation does not formally implement the interface in Java
  • name and argument list for each method
  • same on client and server
  • Client side methods
  • return Request<T>
  • only T on the server
  • EntityProxy types become the domain entity type on the server
  • Methods that return a Request object in the client interface are implemented as static methods on the entity
  • Methods that operate on a single instance of an entity, like persist() and remove(),
  • eturn an
  • InstanceRequest
  • in the client interface
  • Instance methods do not pass the instance directly, but rather via the
  • using()
  • instance methods must be implemented as non-static methods in the entity type
  • Four special methods are required on all entities
  • as they are used by the RequestFactory servlet:
  • constructor
  • findEntity
  • An entity's getId()
  • is typically auto-generated by the persistence engine (JDO, JPA, Objectify, etc.)
  • "find by ID" method has a special naming convention
  • find()
  • "find" plus the type's simple name
  • On the server
  • getVersion() method is used by RequestFactory to infer if an entity has changed
  • backing store (JDO, JPA, etc.) is responsible for updating the version each time the object is persisted,
  • RequestFactoryServlet sends an UPDATE
  • if an entity changes as
  • Second, the client maintains a version cache of recently seen entities
  • Whenever it sees an entity whose version has changed, it fires
  • UPDATE events on the event bus
  • so that listeners can update the view
  • GWT.create
  • and initialize it with your application's EventBus
  • GWT.create
  • requestFactory.initialize
  • create a new entity on the client
  • EmployeeRequest request
  • EmployeeProxy newEmployee
  • All client-side code should use the EmployeeProxy
  • not the Employee entity itself
  • unlike GWT-RPC, where the same concrete type is used on both client and server
  • RequestFactory
  • designed to be used with an ORM layer like JDO or JPA
  • on the server
  • to build data-oriented (CRUD) apps with an ORM-like interface
  • on the client
  • easy to implement a data access layer
  • structure your server-side code in a data-centric way
  • GWT-RPC, which is service-oriented
  • On the client side, RequestFactory keeps track of objects that have been modified and sends only changes
  • lightweight network payloads
  • solid foundation for automatic batching and caching of requests in the future
  • RequestFactoryServlet
  • RequestFactory uses its own servlet
  • own protocol
  • not designed for general purpose services like GWT-RPC
  • implements its
  • It is designed specifically for implementing a persistence layer on both client and server.
  • In persistence frameworks like JDO and JPA, entities are annotated with
  • client-side representation of an entity
  • known as a
  • DTO (Data Transfer Object)
  • hook used to indicate that an object can be managed by RequestFactory
  • RequestFactory
  • EntityProxy interface
  • automatically populates bean-style properties between entities on the server and the corresponding EntityProxy on the client,
  • send only changes ("deltas") to the server
  • extends EntityProxy
  • interface
  • @ProxyFor
  • reference the server-side entity being represented
  • It is not necessary to represent every property and method from the server-side entity in the EntityProxy
  • EntityProxyId returned by this method is used throughout RequestFactory-related classes
  • while getId() is shown in this example, most client code will want to refer to
  • EntityProxy.stableId() i
  • to represent any type
  • is not required to expose an ID and version
  • often used to represent embedded object types within entities
  • @Embedded
  • Address
  • Address type
  • POJO with no persistence annotations
  • Address is represented as a ValueProxy
  • extends ValueProxy
  • interface
  • extends EntityProxy
  • interface
  • AddressProxy
  • AddressProxy
  • ValueProxy can be used to pass any type to and from the server
  • RequestFactory
  • interface between your client and server code
  • RequestContext interface
  • The server-side service
  • must implement each method
anonymous

Large scale application development and MVP - Part II - Google Web Toolkit - Google Code - 0 views

code.google.com/...mvp-architecture-2.html

shared by anonymous on 18 Jan 11 - Cached
  • itself
    • anonymous
      anonymous on 18 Jan 11
       
      The View Implementation
  • @UiHandler("
  • presenter.onAddButtonClicked();
  • ...91 more annotations...
  • onAddButtonClicked
  • eventBus.fireEvent(new AddContactEvent());
  • presenter needs to know more about the view
  • view needs to know more about the data model
  • data types are typically homogeneous within column borders
  • ColumnDefinition abstract class
  • houses the any type-specific code (this is the third party mentioned above)
  • ColumnDefinition
  • ColumnDefinition(s) would be created outside of the presenter
  • we can reuse its logic regardless of what view we've attached ourself to
  • update our views such that we can set their ColumnDefinition(s).
  • setColumnDefinitions
  • this.columnDefinitions = columnDefinitions;
  • so that we can pass in
  • a mocked ContactsView instance when testing our ContactsPresenter
  • in our AppController, when we create the ContactsView,
  • new ContactsViewColumnDefinitions().getColumnDefinitions();
  • we can initialize it with the necessary ColumnDefinition(s).
  • contactsView.setColumnDefiniions(
    • anonymous
      anonymous on 19 Jan 11
       
      Initialize ContactsView with the necessary ColumnDefinition(s)
  • With our ColumnDefinition(s) we can pass the model untouched.
  • As mentioned above we were previously dumbing down the model into a list of Strings
  • current solution
  • List<String> data
  • display.setData(data);
  • how that data type is rendered.
  • use generics
  • third party that abstracts
  • knowledge of a cell's data type
  • stringing together a list of these classes
  • providing the necessary render()
  • and isClickable()/isSelectable() override
  • ContactsViewColumnDefinitions<ContactDetails>
  • columnDefinitions =      new ArrayList<ColumnDefinition<ContactDetails>>()
  • ColumnDefinition<T>
  • ContactsPresenter
  • ContactsViewImpl
  • ColumnDefinition<T> columnDefinition = columnDefinitions.get(j);
  • the presenter can pass the model untouched
  • the view has no rendering code
  • that we would otherwise need to test. And the fun doesn't stop there.
  • presenter.onItemClicked(
  • presenter.onItemSelected
  • ClickEvent
  • cell.getCellIndex()
  • columnDefinition.isClickable()
  • SelectEvent
  • columnDefinition.isSelectable()
  • return shouldFireClickEvent;
  • return shouldFireSelectEvent;
  • respond to user interaction in different ways based upon the cell type that was clicked
  • use them for rendering purposes
  • defining how to interpret user interactions
  • we're going to remove any application state from the ContactsView
  • replace the view's getSelectedRows() with a SelectionModel
  • The SelectionModel is nothing more than a wrapper around a list of model objects.
  • ContactsPresenter holds on to an instance of this class
  • onItemSelected
  • Having the ColumnDefinition create a new widget for each cell is too heavy
  • Replace our FlexTable implementation with an HTML widget
  • calling setHTML()
  • Reduce the event overhead by sinking events on the HTML widget
  • rather than the individual cells
  • update our ContactsView.ui.xml file to use a
  • HTML widget rather than a FlexTable widget.
  • <g:HTML ui:field="contactsTable">
  • Inefficiencies related to inserting new elements via DOM manipulation Overhead associated with sinking events per Widget
  • for each item ask our column definitions to render accordingly
  • each column definition
  • render itself into the StringBuilder
  • rather than passing back a full-on widget
  • calling setHTML on a HTML widget
  • rather than calling setWidget on a FlexTable.
  • This will decrease your load time, especially as your tables start to grow.
  • we're reducing the overhead of sinking events on per-cell widgets
  • instead sinking on a single container
  • ClickEvents are still wired up via our UiHandler annotations
  • get the Element that was clicked on
  • and walk the DOM until we find a parent TableCellElement
  • we can determine the row
  • shouldFirdClickEvent() and shouldFireSelectEvent()
  • to take as a parameter a TableCellElement rather than a HTMLTable.Cell.
  • faster startup times via Code Splitting.
  • runAsync() points
  • split portion of your code is purely segmented
  • not referenced by other parts of the app
  • it will be downloaded and executed at the point that it needs to run
  • Do we really want to download all of that code before the user even logs in?
  • Not really.
  • simply grab the login code, and leave the rest for when we actually need it
  • wrap the code that creates the ContactsView and ContactsPresenter in a runAsync() call
  • as optimizations such as this one become easier and easier to implement.
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