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Esfand S

concerns on 2.1 MVP approach - Google Web Toolkit | Google Groups - 0 views

groups.google.com/...0b9430f7c0ad66b1

gwt gwt21 mvp

shared by Esfand S on 09 Jul 10 - Cached
  • o summarize, here are some quotes: * It's extremely fast to build an initial scaffold (CRUD for all entities), but I'm not sure how easy it is to customize it for real world usage * When skimming the generated sources I saw A LOT of artifacts, which I don't feel comfortable with because it means that although "officially" my code is not coupled with Roo, if I were to drop it I would have to manage all these generated artifacts myself. * This expenses example is a nightmare to follow.  The bindings/ wiring  of all the pieces both client and server is nuts. * In M2, things have been cleaned up a bit
Esfand S

Feedback on "Large scale app development MVP article" - Google Web Toolkit | Google Groups - 0 views

groups.google.com/...dcfac548dae39873

mvp gwt

shared by Esfand S on 03 Jun 10 - Cached
  • It however clarify things about how Google sees MVP in GWT. They're even adding some MVP "framework" to GWT 2.1 (IsWidget and Activities, where an Activity is more or less your presenter, from what I understood).
  • RequestFactory on the other hand is a new thing for efficient CRUD operations on entity objects, which plugs more-or-less directly into the new Data widgets. Those widgets do blur the line a bit, but they're not really about presentation "logic", and they're somehow MVP- based themselves.
Esfand S

overlook - Tech Blog - 2 views

www.over-look.com/...t-2-1-tutorial-1-mvp-the-model

gwt gwt21 mvp

shared by Esfand S on 09 Jul 10 - Cached
  • The main issue in MVC is that these three elements are tighly bound together: the controller has to register to both the model and the view (and unregister if either changes), and when a view serves multiple controllers or a controller uses multiple models, that becomes quickly a mess.
  • MVP approach is more message-oriented. All messages (events) are fired on a single EventBus that is shared by all Presenters. Each presenter listens to events of interest, and fires new events according to actions. So a change in the in the EmployeeModel may be fired with an EmployeeModelChangedEvent, instead of attaching a listener to the model object. And we can easily create new Presenters that receive that same event and react accordingly.
  • The magnitude of such a shift is great: the model is no more the center and source of events (which would require special care in attaching and detaching to a specific instance), but it more a passive container of data, which may be copied, proxied, transformed, cached, without the GWT appliction any special care.Since the model is more a container of data ment for communication, I've highlighted the fact that it needs to be Serializable.
  • ...11 more annotations...
  • It is now the time to introduce the Model in GWT 2.1. The direction taken in 2.0.x has been pushed one step further, so that the Model is, in fact, only a Data Transfer Obejct (DTO). A DTO is an object whose main purpose is to be transferred, usually from one Tier to another Tier of a layered architecture such as Browser/Server/Database.
  • Value Store, the package that defines the Model/DTO programming interface.
  • Valuestore is the management interface that performs CRUD (Create, Read, Update, Delete) operations on the Records, like Entity Manager in JPA and Persistence Manager in JDO.
  • The first interface to discuss is Record, the base interface to implement to define a DTO class. A Record holds data for a single instance of an entity. Let's suppose that in your server-side business model there's an entity called 'Employee' to represent a company employee list.  To use it on the client side, you would need to define an EmployeeRecord class to hold the values of one of your employees, e.g. the employee name, birth date, etc.
  • A Record is able to provide values using Property objects as keys. The properties are type-aware, so that the employee name is a Property<String>, the employee birth data a Property<Date>, and so on. The following table reports these elements in a single example:
  • The Record interface doesn't provide a generic reflection mechanism, so it's not possible to inspect a Record to know what kind of Properties it is made of. The current implementation RecordImpl, which delegates to JavaScriptObject implementation and provides JSON serialization, is actually holding a schema of the record properties in a RecordSchema object.
  • note the annotation @DataTransferObject, that GWT uses to map the record to the equivalent server-side class. By declaring the connection, GWT is capable of binding automatically the interface properties with the JPA-annotated properties, thus greatly reducing the amount of boilerplate mapping work to be performed.
  • Of course, when you add or modify a property in your real Model, appropriate changes must be applied to the equivalent Record. That's where the teamwork with Spring Roo comes handy: Spring Roo generates and keeps aligned a lot of these elements, and would reflect (overwrite) your EmployeeRecord java file every time you change your domain model definition.
  • As a general rule, you are encouraged to define specific interface methods to extract data from you Record, e.g. getName() to get the Employee name. Record exposes also method to retrieve a value given a property. For instance, in a Renderer of a CellTree, when you are given an EmployeeRecord you should access its data through public getter methods.
  • The model-agnostic way that GWT uses to access a value is the Record.get(Property<V>) method. There's also a way to get not the value itself, but a PropertyReference<V>, which is just the property of a specific record, e.g. the Property 'name' of Record 'r2' in the example table above. In a few words, a property reference is just a value, which is exactly how Value<V> is defined. That is most useful to perform late bindings during RPC calls when the data is not yet available.
  • The DeltaValueStore is also worth mentioning a few words: as your model is now decomposed in Records and Properties, it is also possible to transfer only the data you need to. Hence the retrieval requests can dowload only a few properties of the Records. Furthermore, 'Update' operations can transmit back only the user changes (delta) instead of whole objects, which may give a nice performance boost.
Marco Antonio Almeida

Sanjiv Jivan's Blog - 0 views

www.jroller.com/...smartgwt_1_0_released

gwt mvp CRUD smartclient smartgwt

shared by Marco Antonio Almeida on 24 Oct 10 - Cached
  • Once a DataSource has been defined to describe your entity / domain class, data can be read into a DataSource from a wide variety of sources. For example local array data, XML or JSON, data from the server, or you can even point to sample test data. The DataSource has a build-in mechanism to communicate with the source of the data, whether local or the backend server, for the four key operations : FETCH, ADD, UPDATE and REMOVE.
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