I'm trying to learn Domain Driven Design. At the moment I'm putting together a context map for a dummy personal project designed to store information about clients and leads (there's also an email template engine and some other bits).
I've stumbled on a small hurdle; the problem I have is that I've created a bounded context for storing information about clients and companies. There are two types of client, Proxy clients who sub-contract and end clients.
I'm not sure if I should just be modelling this as client with a client type value type or as separate domain entities for clients and proxy clients? Any advice would be appreciated.
Please Note
The diagram above isn't complete so there are some links missing. If I'm doing something obviously wrong here please don't hesitate to let me know.
I'm also using arrow heads instead of upstream / downstream as I think they're a little better visually.
The way to model this will depend on the requirements for your application and the business domain.
There is something that seems to me is missing for ProxyClients. If they sub-contract, they should be involved in some kind of Project for an EndClient maybe?
I'll just assume that this is the case and add Project to the model.
Now, can a client be one time an EndClient for one Project and another time a SubClient for another?
If the answer is yes then you will need a separate ClientEntity that can have a ClientType or Role assigned to it for a Project. The Role doesn't make sense on it's own, it exists only for a Project.
An advantage of using ClientType or ClientRole as a separate concept in your model is that it's dynamic and you can change the type of a Client or assign multiple types/roles.
Using different entities will prevent you from doing this. If later in the life-cycle of your application the requirements change you will have to refactor to the other design. Leaving the old design and converting a SubClient to EndClient probably won't be possible or you will need to store all the information for all projects done by this EndClient. Another way to deal with this is to have one client have copies in both ProxyClients and EndClients
On the other hand if you don't need the flexibility of the design with separate Type/Role you will be better of with different entities. This has the advantage of having a clean separation of what type of a client you are dealing with and will make the system simpler.
For more information on this topic check this article
Now onto the model and the design.
When someone answers your question there are two thing that a person can do. One is to answer the direct question that you are asking.
Another is to notice problems with you design, model etc. and give you feedback for it.
You said that somethings are missing, but they are important. I did answer your concrete question, but the small amount of information prevents me from giving you more feedback on your design and give you some pointers on where you mistakes may be.
One of the things I don't uderstand is ProxyClient. Does a Company SubContract for a Client and that's why this client is a ProxyClient for this Company or is the Company hired to do a Project for an EndClient and it hires a SubContractor that you call a ProxyClient.
This point is important for your design yet it's not clear. Because if you are in the second case then I would say that your concepts may need to change. For example you have a SubContractor doing the work and won't call it a ProxyClient as it doens't make sense. This will change the whole model with new concepts.
Next time try to give more information or try to derive a simpler and more clearer case. Sometimes the original case is complex, so you may need to present a similar yet simpler case that faces the same problem so that people don't get confused. Also give more information on your application and your domain. How things should work and what are the relationships between them.
Related
In DDD, how to mix repositories ?
For example, a simple social network app where a personn write a post and mention someone.
Do the best way is to check if "the mentioned person" exist in user domain and throw a event for post domain for example ?
I think there are a lot of examples when a API need to mix domain.
I had read some article which explains to use event system.
Is the only solution ? I'm not looking for the best solution or a "pure ddd app".
First of all, there's no such thing as a "pure ddd app".
DDD is architecturally agnostic. There's no architectural style you must follow. It will only depends on the domain complexity of the context you're working on. For example, don’t be afraid to go with a CRUD‐style architecture if you are dealing with a context that contains no logic. Doing so, you'll be more in a DDD mindset than trying to apply things like Hexagonal/Onion/CQRS/EventSourcing and whatever good-looking architecture styles everywhere.
What you're describing in your question above is only related to the tactical part of DDD: what kind of code pattern would be nice to implement in order to solve my problem?
Let's say you have 2 different Bounded Context (see Stategic Patterns in DDD). One that deals with Users and one with Posts, as you mentioned above. As those are two separate contexts, they could have their own storage. In the Posts context, you could store a list of valid UserIDs that people can use when they want to mention someone. That way, you don't have to call any APIs to be sure that this UserID can be mentioned. In order to maintain this list, you also have many options. One could be to listen to events triggered by the Users context like UserSuscribed or UserUnsubscribed. Another option would be to give the responsibility to the Users context to call an API on the Posts context in order to add or delete UsersIDs.
In general, try to avoid coupling between your Bounded Contexts.
I've got a question on my mind that has been stirring for months as I've read about DDD, patterns and many other topics of application architecture. I'm going to frame this in terms of an MVC web application but the question is, I'm sure, much broader. and it is this: Does the adherence to domain entities create rigidity and inefficiency in an application?
The DDD approach makes complete sense for managing the business logic of an application and as a way of working with stakeholders. But to me it falls apart in the context of a multi-tiered application. Namely there are very few scenarios when a view needs all the data of an entity or when even two repositories have it all. In and of itself that's not bad but it means I make multiple queries returning a bunch of properties I don't need to get a few that I do. And once that is done the extraneous information either gets passed to the view or there is the overhead of discarding, merging and mapping data to a DTO or view model. I have need to generate a lot of reports and the problem seems magnified there. Each requires a unique slicing or aggregating of information that SQL can do well but repositories can't as they're expected to return full entities. It seems wasteful, honestly, and I don't want to pound a database and generate unneeded network traffic on a matter of principle. From questions like this Should the repository layer return data-transfer-objects (DTO)? it seems I'm not the only one to struggle with this question. So what's the answer to the limitations it seems to impose?
Thanks from a new and confounded DDD-er.
What's the real problem here? Processing business rules and querying for data are 2 very different concerns. That realization leads us to CQRS - Command-Query Responsibility Segregation. What's that? You just don't use the same model for both tasks: Domain Model is about behavior, performing business processes, handling command. And there is a separate Reporting Model used for display. In general, it can contain a table per view. These tables contains only relevant information so you can get rid of DTO, AutoMapper, etc.
How these two models synchronize? It can be done in many ways:
Reporting model can be built just on top of database views
Database replication
Domain model can issue events containing information about each change and they can be handled by denormalizers updating proper tables in Reporting Model
as I've read about DDD, patterns and many other topics of application architecture
Domain driven design is not about patterns and architecture but about designing your code according to business domain. Instead of thinking about repositories and layers, think about problem you are trying to solve. Simplest way to "start rehabilitation" would be to rename ProductRepository to just Products.
Does the adherence to domain entities create rigidity and inefficiency in an application?
Inefficiency comes from bad modeling. [citation needed]
The DDD approach makes complete sense for managing the business logic of an application and as a way of working with stakeholders. But to me it falls apart in the context of a multi-tiered application.
Tiers aren't layers
Namely there are very few scenarios when a view needs all the data of an entity or when even two repositories have it all. In and of itself that's not bad but it means I make multiple queries returning a bunch of properties I don't need to get a few that I do.
Query that data as you wish. Do not try to box your problems into some "ready-made solutions". Instead - learn from them and apply only what's necessary to solve them.
Each requires a unique slicing or aggregating of information that SQL can do well but repositories can't as they're expected to return full entities.
http://ayende.com/blog/3955/repository-is-the-new-singleton
So what's the answer to the limitations it seems to impose?
"seems"
Btw, internet is full of things like this (I mean that sample app).
To understand what DDD is, read blue book slowly and carefully. Twice.
If you think that fully fledged DDD is too much effort for your scenario then maybe you need to take a step down and look at something closer to Active Record.
I use DDD but in my scenario I have to support multiple front-ends; a couple web sites and a WinForms app, as well as a set of services that allow interaction with other automated processes. In this case, the extra complexity is worth it. I use DTO's to transfer a representation of my data to the various presentation layers. The CPU overhead in mapping domain entities to DTO's is small - a rounding error when compared to net work calls and database calls. There is also the overhead in managing this complexity. I have mitigated this to some extent by using AutoMapper. My Repositories return fully populated domain objects. My service layer will map to/from DTO's. Here we can flatten out the domain objects, combine domain objects, etc. to produce a more tabulated representation of the data.
Dino Esposito wrote an MSDN Magazine article on this subject here - you may find this interesting.
So, I guess to answer your "Why" question - as usual, it depends on your context. DDD maybe too much effort. In which case do something simpler.
Each requires a unique slicing or aggregating of information that SQL can do well but repositories can't as they're expected to return full entities.
Add methods to your repository to return ONLY what you want e.g. IOrderRepository.GetByCustomer
It's completely OK in DDD.
You may also use Query object pattern or Specification to make your repositories more generic; only remember not to use anything which is ORM-specific in interfaces of the repositories(e.g. ICriteria of NHibernate)
I am on a tight schedule with my project so don't have time to read books to understand it.
Just like anything else we can put it in few lines after reading books for few times. So here i need some description about each terms in DDD practices guideline so I can apply them bit at a piece to my project.
I already know terms in general but can't put it in terms with C# Project.
Below are the terms i have so far known out of reading some brief description in relation with C# project. Like What is the purpose of it in C# project.
Services
Factories
Repository
Aggregates
DomainObjects
Infrastructure
I am really confused about Infrastructure, Repository and Services
When to use Services and when to use Repository?
Please let me know if anyway i can make this question more clear
I recommend that you read through the Domain-Driven Design Quickly book from infoq, it is short, free in pdf form that you can download right away and does its' best to summarize the concepts presented in Eric Evan's Blue Bible
You didn't specify which language/framework the project you are currently working on is in, if it is a .NET project then take a look at the source code for CodeCampServer for a good example.
There is also a fairly more complicated example named Fohjin.DDD that you can look at (it has a focus on CQRS concepts that may be more than you are looking for)
Steve Bohlen has also given a presentation to an alt.net crowd on DDD, you can find the videos from links off of his blog post
I've just posted a blog post which lists these and some other resources as well.
Hopefully some of these resources will help you get started quickly.
This is my understanding and I did NOT read any DDD book, even the holy bible of it.
Services - stateless classes that usually operate on different layer objects, thus helping to decouple them; also to avoid code duplication
Factories - classes that knows how to create objects, thus decouple invoking code from knowing implementation details, making it easier to switch implementations; many factories also help to auto-resolve object dependencies (IoC containers); factories are infrastructure
Repository - interfaces (and corresponding implementations) that narrows data access to the bare minimum that clients should know about
Aggregates - classes that unifies access to several related entities via single interfaces (e.g. order and line items)
Domain Objects - classes that operate purely on domain/business logic, and do not care about persistence, presentation, or other concerns
Infrastructure - classes/layers that glue different objects or layers together; contains the actual implementation details that are not important to real application/user at all (e.g. how data is written to database, how HTTP form is mapped to view models).
Repository provides access to a very specific, usually single, kind of domain object. They emulate collection of objects, to some extent. Services usually operate on very different types of objects, usually accessed via static methods (do not have state), and can perform any operation (e.g. send email, prepare report), while repositories concentrate on CRUD methods.
DDD what all terms mean for Joe the plumber who can’t afford to read books few times?
I would say - not much. Not enough for sure.
I think you're being quite ambitious in trying to apply a new technique to a project that's under such tight deadlines that you can't take the time to study the technique in detail.
At a high level DDD is about decomposing your solution into layers and allocating responsibilities cleanly. If you attempt just to do that in your application you're likely to get some benefit. Later, when you have more time to study, you may discover that you didn't quite follow all the details of the DDD approach - I don't see that as a problem, you proabably already got some benefit of thoughtful structure even if you deviated from some of the DDD guidance.
To specifically answer your question in detail would just mean reiterating material that's already out there: Seems to me that this document nicely summarises the terms you're asking about.
They say about Services:
Some concepts from the domain aren’t
natural to model as objects. Forcing
the required domain functionality to
be the responsibility of an ENTITY or
VALUE either distorts the definition
of a model-based object or adds
meaningless artificial objects.
Therefore: When a significant process
or transformation in the domain is not
a natural responsibility of an ENTITY
or VALUE OBJECT, add an operation to
the model as a standalone interface
declared as a SERVICE.
Now the thing about this kind of wisdom is that to apply it you need to be able to spot when you are "distorting the definition". And I suspect that only with experience (or guidance from someone who is experienced) do you gain the insight to spot such things.
You must expect to experiment with ideas, get it a bit wrong sometimes, then reflect on why your decisions hurt or work. Your goal should not be to do DDD for its own sake, but to produce good software. When you find it cumbersome to implement something, or difficult to maintain something think about why this is, then examine what you did in the light of DDD advice. At that point you may say "Oh, if I had made that a Service, the Model would be so nmuch cleaner", or whatever.
You may find it helpful to read an example.:
DDD teaches us to build our classes like their real-world prototypes.
So instead of using setters
job = new Job
job.person = person
job.since = time.Now()
job.title = title
we define well-named methods in our aggregation root
job = person.promote(title, /** since=time.Now() **/)
Now the tricky part
Assume we have an UI for an HR where he/she enters a new title via the HTML form and makes a typo like "prgrammer" (Of course in real application there'd be a select list, but here we have a text input), or selects a wrong date (like default today)
Now we have a problem. There are no typos in real world. Our John Doe is definitely a "programmer" and never a "prgrammer"
How do we fix this typo in our domain model?
Our Person has just promote, demote, fire, etc. methods, which reflect the HR domain model.
We could cheat a little bit and change the Job record directly, but now we have a Job.setTitle method, that doesn't reflect our domain model and also, setters are evil, you know.
That may look a little "academic", but that really bugs me when I try to build a good domain model for a complex application
Another side of DDD is invariants - "always valid" entity. And when you try to break this invariant (some rule) you must stop execution and say "loudly" adout this (throw exception). So, you need to have a list of valid titles and when you try to change title (does not matter how) to invalid state, you must throw some usefull exception.
To "fix" typo situations you must separate operations in your domain promote is one operation (it may check something, sent contratulation email :) and so on). And edit operation - just to edit some properties. So, the differenece is in logic of operations. You can't call promote without some preconditions (for example, required experience of worker), but you can call edit and fix worker's name because of type.
And usually this operations are separated between different users: only HR's can promote but a worker can edit his name, if it's wrong.
This solution is very complicated for such example, but it's always with DDD.
The main concept - separate operations. Each one with their own conditions, permissions, rules.
A question about invariants (rules).
If a client is purely entering data, then the underlying domain in this (bounded) context is not very deep. In these cases, it's fine to use a CRUD style application and allow titles to be changed (setTitle()).
Just make sure dependent BCs (e.g., billing, vacation planning, ...) where no such thing as "invalid data" exists, can react to changes in your CRUD context appropriately.
The application should enforce input correctness before it reaches the domain layer, no garbage input. If that means using a dropdown for the job titles then so be it. You can validate the title against existing titles.
In my company of 18 thousand employees, typo happens all the time. You are going to have to be pragmatic about this and accept that there will be setters in your code (one way or another)
Pragmatic thinking is very much at the core of the domain driven design, and is what keep things simple.
"Purity is good in theory, but in practice it can be very difficult to achieve, and sometimes you must choose the pragmatic approach" - Patterns, Principles, and Practices of Domain-Driven Design (2015)
"There are no typos in real world", I get what you mean, but that's not true, there are human mistakes in real world scenarios and they should be accounted for in your domain if they are frequent.
If data entry errors aren't frequent it may not be worth the extra modeling efforts and those could perhaps just get fixed directly in the DB. It also depends if the business wishes to learn something about those mistakes or not.
However, if data entry errors are frequent, it might be an indicator that the system is perhaps not offering enough guidance and the business may wish to learn more about those errors in order to make processes more efficient and less error-prone.
You may wish to implement an operation such as job.correctTitle(...), perhaps in a BC dedicated to data corrections? Also, it's probably very rare that each and every piece of information will be erroneous so corrective operations can be segregated. That means you probably do not need a job.correctAllInformation(...) kind of operation.
This whole scenario is very fictive since job titles would usually be managed in a separate BC from where they are used and they would probably get picked from a list, therefore typos would be less frequent, but you will always have to deal with data entry errors. Choosing the appropriate solution is not always easy and will vary from case to case, but try to stay pragmatic and not strive for the perfect model in every sphere of your domain.
After reading Evan's and Nilsson's books I am still not sure how to manage Data access in a domain driven project. Should the CRUD methods be part of the repositories, i.e. OrderRepository.GetOrdersByCustomer(customer) or should they be part of the entities: Customer.GetOrders(). The latter approach seems more OO, but it will distribute Data Access for a single entity type among multiple objects, i.e. Customer.GetOrders(), Invoice.GetOrders(), ShipmentBatch.GetOrders() ,etc. What about Inserting and updating?
CRUD-ish methods should be part of the Repository...ish. But I think you should ask why you have a bunch of CRUD methods. What do they really do? What are they really for? If you actually call out the data access patterns your application uses I think it makes the repository a lot more useful and keeps you from having to do shotgun surgery when certain types of changes happen to your domain.
CustomerRepo.GetThoseWhoHaventPaidTheirBill()
// or
GetCustomer(new HaventPaidBillSpecification())
// is better than
foreach (var customer in GetCustomer()) {
/* logic leaking all over the floor */
}
"Save" type methods should also be part of the repository.
If you have aggregate roots, this keeps you from having a Repository explosion, or having logic spread out all over: You don't have 4 x # of entities data access patterns, just the ones you actually use on the aggregate roots.
That's my $.02.
DDD usually prefers the repository pattern over the active record pattern you hint at with Customer.Save.
One downside in the Active Record model is that it pretty much presumes a single persistence model, barring some particularly intrusive code (in most languages).
The repository interface is defined in the domain layer, but doesn't know whether your data is stored in a database or not. With the repository pattern, I can create an InMemoryRepository so that I can test domain logic in isolation, and use dependency injection in the application to have the service layer instantiate a SqlRepository, for example.
To many people, having a special repository just for testing sounds goofy, but if you use the repository model, you may find that you don't really need a database for your particular application; sometimes a simple FileRepository will do the trick. Wedding to yourself to a database before you know you need it is potentially limiting. Even if a database is necessary, it's a lot faster to run tests against an InMemoryRepository.
If you don't have much in the way of domain logic, you probably don't need DDD. ActiveRecord is quite suitable for a lot of problems, especially if you have mostly data and just a little bit of logic.
Let's step back for a second. Evans recommends that repositories return aggregate roots and not just entities. So assuming that your Customer is an aggregate root that includes Orders, then when you fetched the customer from its repository, the orders came along with it. You would access the orders by navigating the relationship from Customer to Orders.
customer.Orders;
So to answer your question, CRUD operations are present on aggregate root repositories.
CustomerRepository.Add(customer);
CustomerRepository.Get(customerID);
CustomerRepository.Save(customer);
CustomerRepository.Delete(customer);
I've done it both ways you are talking about, My preferred approach now is the persistent ignorant (or PONO -- Plain Ole' .Net Object) method where your domain classes are only worried about being domain classes. They do not know anything about how they are persisted or even if they are persisted. Of course you have to be pragmatic about this at times and allow for things such as an Id (but even then I just use a layer super type which has the Id so I can have a single point where things like default value live)
The main reason for this is that I strive to follow the principle of Single Responsibility. By following this principle I've found my code much more testable and maintainable. It's also much easier to make changes when they are needed since I only have one thing to think about.
One thing to be watchful of is the method bloat that repositories can suffer from. GetOrderbyCustomer.. GetAllOrders.. GetOrders30DaysOld.. etc etc. One good solution to this problem is to look at the Query Object pattern. And then your repositories can just take in a query object to execute.
I'd also strongly recommend looking into something like NHibernate. It includes a lot of the concepts that make Repositories so useful (Identity Map, Cache, Query objects..)
Even in a DDD, I would keep Data Access classes and routines separate from Entities.
Reasons are,
Testability improves
Separation of concerns and Modular design
More maintainable in the long run, as you add entities, routines
I am no expert, just my opinion.
The annoying thing with Nilsson's Applying DDD&P is that he always starts with "I wouldn't do that in a real-world-application but..." and then his example follows. Back to the topic: I think OrderRepository.GetOrdersByCustomer(customer) is the way to go, but there is also a discussion on the ALT.Net Mailing list (http://tech.groups.yahoo.com/group/altdotnet/) about DDD.