Yeah.. what we do is we detach entities when loading from service
layer to view layer and when user is ready to commit we persist them
on service layer overriding service layer state (standard locking
techniques here).

**
Martin

2012/2/12 Bas Gooren <b...@iswd.nl>:
> Ok, so you mean detaching entities when returning them to the view layer
> (wicket)?
>
> How do you propose updating the underlying entities? Send the detached
> entities back to the service layer and copying their changes to attached
> entities? Or ...?
>
> Op 12-2-2012 14:22, schreef Martin Makundi:
>>
>> Why don't you just detach the entity/data objects with deep or shallow
>> clone or similar? Minimal duplication...
>>
>> **
>> Martin
>>
>> 2012/2/12 Bas Gooren<b...@iswd.nl>:
>>>
>>> Hi All,
>>>
>>> I have an architectural question about wicket, DDD and the service layer.
>>>
>>> Let's say we have a simple JPA entity (Customer), and a few simple CRUDL
>>> screens.
>>> For database access, we have a DAO layer (CustomerDao) which delegates to
>>> an
>>> EntityManager, and provides some convenience methods for searching.
>>> We also like to have clear boundaries, so we have a thin service layer
>>> which
>>> wraps persist() and delete() calls in a transaction before forwarding
>>> them
>>> to the DAO layer (@Transactional, as provided by guice-persist).
>>>
>>> A wicket model fetches one or more customers (by id or by running a
>>> search),
>>> and attaches to a form. In the form we use PropertyModels which push
>>> their
>>> changes to the entity, and in onSubmit() we call service.persist(entity).
>>> This means that the actual changes to the model happen outside of the
>>> transaction (in wicket code), and within the transaction (/service layer)
>>> we
>>> merely call persist() and flush().
>>>
>>> Then parts of the app need something a bit more advanced, so we decide to
>>> apply parts of DDD and put logic where it belongs (on the domain models).
>>> However, some logic coordinates multiple models, so we add a domain- or
>>> application-service for that.
>>> The good thing about DDD is that it's a lot more clear what happens
>>> (intent). We now realize that having a persist() method on a entity-based
>>> service now looks like a bit of a code smell, since it does not capture
>>> intent at all. Also, since the changes to the model happen in wicket,
>>> before
>>> the service layer is called, I feel that the service layer is not doing
>>> anything to act as a boundary. We might as well mark the persist() method
>>> on
>>> our daos @transactional and remove the service layer.
>>>
>>> The only clean way to fix this seems to be either:
>>> (a) using DTO's so the UI/wicket is not actually modifying domain
>>> entities
>>>    upside: the state of the domain is not modified by wicket itself
>>>    downside: duplication of models (actual model + DTO);
>>>    downside: validation is currently set-up in wicket by scanning fields
>>> for
>>> validation annotations, so we would need to duplicate those on the DTO?
>>>
>>> (b) using a concept from CQRS: sending commands to the domain through a
>>> bus.
>>> This clearly and cleanly defines the intent and captures the exact
>>> change.
>>>    upside: the state of the domain is not modified by wicket itself
>>>    downside: likely overkill for what we are trying to achieve; lot of
>>> extra
>>> complexity
>>>
>>> (c) wrapping the entire request in a transaction
>>>    upside: easy to implement
>>>    downside: since anything in the request can fetch a dao, read some
>>> entities and modify them, this means we can lose track of what happens in
>>> a
>>> request;
>>>    downside: feels like moving backwards
>>>
>>> (d) simplify by removing thin services and, where necessary, putting more
>>> logic in the dao's
>>>    upside: simple api contract: want to save/update an entity? use the
>>> dao
>>> directly
>>>    downside: dao's contain logic which does not really belong there
>>>    downside: if at some point we really do need a service, the api
>>> contract
>>> becomes less clear: for X and Y you can use the dao, for Z you have to
>>> use a
>>> service
>>>
>>> (a) and (b) provide a way to capture a change and execute all of the
>>> change
>>> inside a transaction.
>>>
>>> So my question to the list is: what are your experiences with this? How
>>> do
>>> you deal with this in simple to moderately complex webapps?
>>>
>>> Thanks for reading!
>>
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