Things I still find confusing about Domain Events - domain-driven-design

a) Assuming we don't use IoC, where should handlers be register? In an Application layer?
b) Perhaps a useless question, but is part of the reason for such a design where handler's Handle method takes Domain Event as an argument because this way we explicitly state which Domain Event is being handled and it also makes code easier to understand if arguments are expressed in terms of a domain model?
c) From
A domain event is a role, and thus should be represented explicitly
What does the author mean by "domain event being a role"?
Thank you
UPDATE:
a)
In IoC terms with would be the composition root of your application.
I don't quite understand what you're tying to convey here?!
b)
Yes, although I don't fully understand your question. What would be
the alternative?
I wasn't implying that the design Udi came up with could have an alternative to passing events as arguments, I was just curious whether this design also brings the benefits I mentioned under b)
c)
The concept of a role is based on the idea that a single object can
play multiple roles depending on the context.
I haven't read chapters 16 and 17 ( Evans book ), since I doubt I will be involved in large-scale projects anytime soon, but to my knowledge Evans's book doesn't cover this subject ( I'm not implying that this is not important topic, I'm just curious if perhaps I somehow managed to overlook this topic )?

a) Handlers should be registered in the same place that other dependencies such as repositories are registered. In IoC terms with would be the composition root of your application.
b) Yes, although I don't fully understand your question. What would be the alternative?
c) The concept of a role is based on the idea that a single object can play multiple roles depending on the context. Take a look at the author's presentation: Making Roles Explicit.
UPDATE
a) It basically means the place in your application where you configure all dependencies. In a simple console application, with would be somewhere near the start of the Main method. In an ASP.NET application it would be in the method which handles application start. Take a look at this question.
b) Yes, IMO it does bring those benefits, but again note that the handler class itself isn't the interesting part, it can just as well be a lambda.
c) Those parts of the book cover some very important DDD concepts. In fact Evans himself has been somewhat regretful of not putting the strategic aspects of DDD in the beginning. Take a look at the new book in the series Implementing Domain-Driven Design.
As far as roles however, I don't think Evans covers it explicitly in the book. It doesn't have as much to do with DDD as it does with OOP.

Related

Domain Driven Design: cross domain

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.

Size of a bounded context

I've started learning the principles of DDD and I'm currently trying to get a grasp of the concept of a bounded context. In particular, how do you decide just how big (or small) it has to be? Yeah, I know, as small as possible and as big as necessary (according to Vaughn Vernon).
Let's say I were to model a blog. I could then go and say there are 3 bounded contexts involved: 1) Front Page (featuring the most recent articles, no comments shown) 2) Discussion (a single article including comments) 3) Article Composer (where I compose an article).
However, this doesn't feel right (the ubiquitous language is the same for all of them), it seems as if I'm coming from a front end point of view and am still thinking in terms of view models or something.
Could anyone please point me in the right direction?
A blog is not a good example for use of multiple bounded context. It's not really a "big enough" software example to warrant their definitions. DDD & BC's are really aimed at big/complex enterprising software systems.
Like you say, the aggregates always have the same meaning in your 3 examples.
I gave this example of Bounded Context in a previous answer, which I hope explains BC's and when to use them: Bounded Contexts and Aggregate Roots
Try to look at your whole domain from different perspectives, as an editor of article, you probably will use sentences like creating a draft of an article, publishing an article, as an article a reader you will in example read article and comment on it. Alongside building your domain language you will identify entities and their behaviour, some of them will appear only in one perspective, some will appear in both, but you will distinct them by their behaviour. Your domain language shows you the boundries of each perspective, that you implement as a bounded contexts.
The best example I read by subdomains so far is the following.
Just examine the actual company! Each department taking part in the business process can have its own subdomain. In an ideal world each subdomain has its own bounded context in your implementation. You should ask yourself whether the company needs a new department to do this? Is it really that big?
The BC must be big enough to describe a department of a company. A typical example is a webshop, where you have a shopping core domain and invoicing, delivery and storage subdomains. Having multi-tenancy and so multiple aspects - as a previous answer described - is not enough. A blog with an author and a few readers does not require multiple departments, so you can solve this with a single bounded context. You can have multiple modules in your bounded context if you think you have medium size structures in your bounded context.

DDD domain services: what should a service class contain?

In Domain Driven Design, domain services should contain operations that do not naturally belong inside an entity.
I've had the habit to create one service per entity and group some methods inside it (Organization entity and OrganizationService service).
But the more I think about it: OrganizationService doesn't mean anything, "Organization" is not a service, it's a thing.
So right now I have to add a Organization deep copy functionality that will duplicate a whole Organization aggregate, so I want to put it in a service.
Should I do: OrganizationService::copyOrganization(o)?
Or should I do: OrganizationCopyService::copyOrganization(o)?
More generally: is a "service" an abstract concept containing several operations, or is a service a concrete operation?
Edit: more examples given the first one wasn't that good:
StrategyService::apply()/cancel() or StrategyApplicationService::apply()/cancel()? ("Application" here is not related to the application layer ;)
CarService::wash() or CarWashingService::wash()?
In all these examples the most specific service name seems the most appropriate. After all, in real life, "car washing service" is something that makes sense. But I may end up with a lot of services...
*Note: this is not a question about opinions! This is a precise, answerable question about the Domain Driven Design methodology. I'm always weary of close votes when asking "should I", but there is a DDD way of doing things.*
I think it's good if a domain service has only one method. But I don't think it is a rule like you must not have more than one method on a domain service or something. If the interface abstracts only one thing or one behaviour, it's certainly easy to maitain but the granularity of the domain service totally depends on your bounded context. Sometimes we focus on low coupling too much and neglect high cohesive.
This is a bit opinion based I wanted to add it as a comment but ran out space.
I believe that in this case it will make sense to group the methods into one a separate OrganizationFactory-service with different construction method.
interface OrganizationFactory{
Organization createOrganization();
Organization createOrganizationCopy(Organization organization);
}
I suppose it will be in accordance with information expert pattern and DRY principle - one class has all the information about specific object creation and I don't see any reason to repeat this logic in different places.
Nevertheless, an interesting thing is that in ddd definition of factory pattern
Shift the responsibility for creating instances of complex objects and
AGGREGATES to a separate object, which may itself have no
responsibility in the domain model but is still part of the domain
design. Provide an interface that encapsulates all complex assembly
and that does not require the client to reference the concrete classes
of the objects being instantiated.
the word "object" is in a generic sense doesn't even have to be a separate class but can also be a factory method(I mean both the method of a class and the pattern factory method) - later Evans gives an example of the factory method of Brokerage Account that creates instances of Trade Order.
The book references to the family of GoF factory patterns and I do not think that there's a special DDD way of factory decomposition - the main points are that the object created is not half-baked and that the factory method should add as few dependecies as possible.
update DDD is not attached to any particular programming paradigm, while the question is about object-oriented decomposition, so again I don't think that DDD can provide any special recommendations on the number of methods per object.
Some folks use strange rules of thumb, but I believe that you can just go with High Cohesion principle and put methods with highly related responsibilities together. As this is a DDD question, so I suppose it's about domain services(i.e. not infrastructure services). I suppose that the services should be divided according to their responsibilities in the domain.
update 2 Anyway CarService can do CarService::wash()/ CarService::repaint() / CarService::diagnoseAirConditioningProblems() but it will be strange that CarWashingService will do CarWashingService::diagnoseAirConditioningProblems() it's like in Chomsky's generative grammar - some statements(sentences) in the language make sense, some don't. But if your sentence contains too much subjects(more than say 5-7) it also will be difficult to understand, even if it is valid sentence in language.

DDD what all terms mean for Joe the plumber who can't afford to read books few times?

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.:

Service Oriented Architecture & Domain-Driven Design

I've always developed code in a SOA type of way. This year I've been trying to do more DDD but I keep getting the feeling that I'm not getting it. At work our systems are load balanced and designed not to have state. The architecture is:
Website
===Physical Layer==
Main Service
==Physical Layer==
Server 1/Service 2/Service 3/Service 4
Only Server 1,Service 2,Service 3 and Service 4 can talk to the database and the Main Service calls the correct service based on products ordered. Every physical layer is load balanced too.
Now when I develop a new service, I try to think DDD in that service even though it doesn't really feel like it fits.
I use good DDD principles like entities, value types, repositories, aggregates, factories and etc.
I've even tried using ORM's but they just don't seem like they fit in a stateless architecture. I know there are ways around it, for example use IStatelessSession instead of ISession with NHibernate. However, ORM just feel like they don't fit in a stateless architecture.
I've noticed I really only use some of the concepts and patterns DDD has taught me but the overall architecture is still SOA.
I am starting to think DDD doesn't fit in large systems but I do think some of the patterns and concepts do fit in large systems.
Like I said, maybe I'm just not grasping DDD or maybe I'm over analyzing my designs? Maybe by using the patterns and concepts DDD has taught me I am using DDD? Not sure if there is really a question to this post but more of thoughts I've had when trying to figure out where DDD fits in overall systems and how scalable it truly is. The truth is, I don't think I really even know what DDD is?
I think a common misconception is that SOA and DDD are two conflicting styles.
IMO, they are two concepts that work great together;
You create a domain model that encapsulates your domain concepts, and expose entry points into that model via services.
I also don't see what the problem is with ORM and services, you can easily use a session/uow per service call.
Just model your service operations as atomic domain commands.
a naive example:
[WebMethod]
void RenameCustomer(int customerId,string newName)
{
using(var uow = UoW.Begin())
{
var customerRepo = new CustomerRepo(uow);
var customer = customerRepo.FindById(customerId);
customer.Rename(newName);
uow.Commit();
}
}
Maybe the problem you are facing is that you create services like "UpdateOrder" which takes an order entity and tries to update this in a new session?
I try to avoid that kind of services and instead break those down to smaller atomic commands.
Each command can be exposed as an operation, or you could have a single service operation that receives groups of commands and then delegate those to command handlers.
IMO, this way you can expose your intentions better.
The most important things about Domain-Driven Design are the big picture ideas:
the ubiquitous language,
the strategic decision-making where you are adding value by working in the core domain (and insulating yourself from other nasty systems), and
the approach to making testable, flexible designs by uncoupling infrastructure from business logic.
Those are broadly applicable, and are the most valuable pieces.
There is a lot of design-pattern stuff about Factories, Services, Repositories, Aggregates, etc., I take that as advice from one experienced developer to another, not as gospel, because so much of it can vary depending on the language and frameworks that you're using. imho they tend to get overemphasized because programmers like us are detail-oriented and we obsess on that kind of stuff. There is valuable stuff there too, but it needs to be kept in perspective. So some of it may not be that relevant to you, or it might grow on you as you work with it.
So I would say it's not like there's a checklist that you can run through to make sure you're using all the patterns, it's a matter of keeping the big picture in mind and seeing how that changes your approach to developing software. And if you pick up some good tips from the patterns that's great too.
Specifically with respect to the SOA thing, I've developed applications that defer all their state to the database, which have used persistence-ignorant domain objects. Writing tests for services that have to mock daos and feed stuff back is drudgery, the more logic I can put in the domain objects the less I have to mess with mocks in my services, so I tend to like that approach better.
There are some concepts introduced with DDD which can actually confuse you when building SOA.
I have to completely agree with another answer, that SOA-services expose operations that act as atomic commands. I believe that a very clean SOA uses messages instead of entities. The service implementation will then utilize the domain model to actually execute the operation.
However there is a concept in DDD called a "domain service". This is slightly different than an application service. Typically a "domain service" is designed within the same ubiquitous language as the rest of the domain model, and represents business logic that does not cleanly fit into an entity or value.
A domain service should not be confused with an application service. In fact, an application service may very well be implemented such that it uses a domain service. After all, the application services can fully encapsulate the domain model within SOA.
I am really really late in this, but I would like to add the following in the very good answers by everyone else.
DDD is not in any conflict with SOA. Instead, DDD can help you maintain a better Service Oriented Architecture. SOA promotes the concept of services, so that you can define better boundaries (oh, context boundary is also a DDD concept!) between your systems and improve the comprehension of them.
DDD is not about applying a set of patterns (e.g. repository, entities etc.). DDD is mostly about trying to model your software, so that all the concepts (i.e. classes in case of object-oriented programming) align directly with concepts of the business.
You should also check this video (especially the last 5 minutes), where Eric Evans discusses exactly this topic.
I've even tried using ORM's but they just don't seem like they fit in
a stateless architecture.
I don't have any reference handy to back this up. However, you're right, ORMs do not fit nicely with DDD as well. This is because, they're trying to bridge the object-relational impedance mismatch, but in a wrong way. They force the software towards an anemic domain model, where classes end up being "plain data holders".
I am starting to think DDD doesn't fit in large systems but I do think
some of the patterns and concepts do fit in large systems.
In the video I've linked above, you can also find Eric explaining that DDD concepts can "break" in very large-scale systems. For instance, imagine a retail system, where each order is an aggregate containing potentially thousands of order items. If you'd like to calculate the order's total amount strictly following DDD, you'd have to load all the order items in memory, which would be extremely inefficient compared leveraging your storage system (e.g. with a clever SQL statement). So, this trade-off should always be kept in mind, DDD is not a silver bullet.
Like I said, maybe I'm just not grasping DDD or maybe I'm over
analyzing my designs?
Excuse me, but I'll have to quote Eric Evans one more time. As he has said, DDD is not for perfectionists, meaning that there might be cases, where the ideal design does not exist and you might have to go with a solution, which is worse in terms of modelling. To read more around that, you can check this article.

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