MEF vs. any IoC - inversion-of-control

Looking at Microsoft's Managed Extensibility Framework (MEF) and various IoC containers (such as Unity), I am failing to see when to use one type of solution over the other. More specifically, it seems like MEF handles most IoC type patterns and that an IoC container like Unity would not be as necessary.
Ideally, I would like to see a good use case where an IoC container would be used instead of, or in addition to, MEF.

When boiled down, the main difference is that IoC containers are generally most useful with static dependencies (known at compile-time), and MEF is generally most useful with dynamic dependencies (known only at run-time).
As such, they are both composition engines, but the emphasis is very different for each pattern. Design decisions thus vary wildly, as MEF is optimized around discovery of unknown parts, rather than registrations of known parts.
Think about it this way: if you are developing your entire application, an IoC container is probably best. If you are writing for extensibility, such that 3rd-party developers will be extending your system, MEF is probably best.
Also, the article in #Pavel Nikolov's answer provides some great direction (it is written by Glenn Block, MEF's program manager).

I've been using MEF for a while and the key factor for when we use it instead of IOC products is that we regularly have 3-5 implementations of a given interface sitting in our plugins directory at a given time. Which one of those implementations should be used is actually something that can only be decided at runtime.
MEF is good at letting you do just that. Typically, IOC is geared toward making sure you could swap out, for a cononical example, an IUserRepository based on ORM Product 1 for ORM Product 2 at some point in the future. However, most IOC solutions assume that there will only be one IUserRepository in effect at a given time.
If, however, you need to choose one based on the input data for a given page request, IOC containers are typically at a loss.
As an example, we do our permission checking and our validation via MEF plugins for a big web app I've been working on for a while. Using MEF, we can look at when the record's CreatedOn date and go digging for the validation plugin that was actually in effect when the record was created and run the record BOTH through that plugin AND the validator that's currently in effect and compare the record's validity over time.
This kind of power also lets us define fallthrough overrides for plugins. The apps I'm working on are actually the same codebase deployed for 30+ implementations. So, we've typically go looking for plugins by asking for:
An interface implementation that is specific to the current site and the specific record type in question.
An interface implementation that is specific to the current site, but works with any kind of record.
An interface that works for any site and any record.
That lets us bundle a set of default plugins that will kick in, but only if that specific implementation doesn't override it with customer specific rules.
IOC is a great technology, but really seems to be more about making it easy to code to interfaces instead of concrete implementations. However, swapping those implementations out is more of a project shift kind of event in IOC. In MEF, you take the flexibility of interfaces and concrete implementations and make it a runtime decision between many available options.

I am apologizing for being off-topic. I simply wanted to say that there are 2 flaws that render MEF an unnecessary complication:
it is attribute based which doesn't do any good to helping you figuring out why things work as they do. There's no way to get to the details burred in the internals of the framework to see what exactly is going on there. There is no way to get a tracing log or hook up to the resolving mechanisms and handle unresolved situations manually
it doesn't have any troubleshooting mechanism to figure out the reasons for why some parts get rejected. Despite pointing at a failing part it doesn't tell you why that part has failed.
So I am very disappointed with it. I spent too much time fighting windmills trying to bootstrap a few classes instead of working on the real problems. I convinced there is nothing better than the old-school dependency injection technique when you have full control over what is created, when, and can trace anything in the VS debugger. I wish somebody who advocates MEF presented a bunch of good reasons as to why would I choose it over plain DI.

I agree that MEF can be a fully capable IoC framework. In fact I'm writing an application right now based on using MEF for both extensibility and IoC. I took the generic parts of it and made it into a "framework" and open sourced it as its own framework called SoapBox Core in case people want to see how it works.
In particular, take a look at how the Host works if you want to see MEF in action.

Related

Comprehensive IoC (Inversion of Control) project example

All the articles and papers about this subject, provide overly simplistic examples. The concepts are easy to understand. However, without substantial experience (both myself and my teammates) in this subject, it is not trivial to map the concepts to actual design decisions in a real life system. No way to validate my architecture.
Can anyone provide me with a real system implementation, that correctly implements IoC.
Note: I am not talking about dependency injection. I'm currently using a container, and I use system wide injection. I am more interested in the way code is kept decoupled, i.e., how is library separation performed (to what extent), and how and where is the interface/contract code declared and included.
Thanks
The open-source GlassFish application server (https://glassfish.java.net/) uses hk2 (https://hk2.java.net) as a DI container. It has several areas where implementations are kept separate from contracts, and where in fact implementations of those contracts can be dynamically added or removed while the server is up and running.
For example take a look at the command-line (asadmin) facility. Users can deploy OSGi bundles that can add new implementations of the command-line contract which will then dynamically be added to the set of things asadmin can do. This is a good example of how to use IoC in order to keep your contracts and services separated.
It is also instructive in that GlassFish was not originally designed with a DI container, so it is a good real-world use case for how to add DI/IoC into systems that were not originally designed in that way.

Castle Windsor and Dynamic Wiring

I've been a heavy Windsor users for the last several years. Prior to the Fluent Registration API, I would toggle between Xml Registration and huge piles of AddComponent() code. We've been happily using the Fluent Registration API and Installers specifically for quite some time now. I've gotten the impression from various writings like this:
http://docs.castleproject.org/Windsor.XML-Registration-Reference.ashx
That the Xml Registration approach has fallen out of favor and it wouldn't surprise me if it were marked for deprecation at some point in the near future.
Now, for my question: The Fluent Registration API and Installers work swimmingly for auto-wiring scenarios (i.e. when I want Windsor to just figure out how to construct my object graphs). Auto-wiring is the vast majority of IoC use cases out there, but what about when auto-wiring isn't possible? In other words I have multiple implementations of a service and I need to tell Windsor how to construct parts of my object graph. I've done this many times with the Xml Registration approach, but is there a more preferred approach these days? I'm hesitant to go the Xml Registration approach as its future seems uncertain, but I don't know how else to accomplish this with Windsor.
My uses cases are:
System needs to be able to swap implementations at QA-test (i.e.
credit checks and fraud detection processing where we want to test
without a dependency on a credit bureau API)
Provider patterns in our
system where we need to conditionally turn on and off different
implementations at deploy-time.
This all seems very well suited for IoC and we have all the building blocks in place, but want to make sure I'm taking the most future-proof approach with Windsor.
UPDATE:
While I like the feature toggle approach, I recently discovered a Windsor feature that is very useful on this front - Fallback Components. I'm leaving this edit here for anyone that might stumbled across this later.
Configuring your DI container completely through XML is error prone, verbose, and just too painful. The XML configuration possibilities are always a subset of what you can do with code based configuration; code is always more expressive.
Sometimes though your DI configuration depends on deploy-time configurations, but since the number of knobs you need are often fairly small, using a configuration flag is often a much better approach than polluting your configuration file with fully qualified type names.
Or let me put it differently, when you have large amounts of your DI configuration placed in your configuration file because your might want to change them at deploy time, please think again. Many of the changes need testing (by a developer) anyway, so there is no way you want someone from your operations team to fiddle around with that. And when you need a developer to look at it and verify it, what's the advantage of not having to recompile the project? Is this actually any quicker? A developer would still have to start the application anyway.
It is a false sense of flexibility and in fact a poor interface design (xml is the interface for your maintenance and operations department). BTW, are you the person that needs to document how the configuration file should be changed?
Instead of describing the list of fully qualified type names that are valid somewhere in the middle of the xml file, wouldn't it be much easier of all you have to write is "place 'false' in this field to disable ..."?
Here is an example of how to use a configuration switch:
bool detectFraught =
ConfigurationManager.AppSettings["DetectFraud"] != "false";
container.Register(
Component.For(typeof(IFraughtDetector)).ImplementedBy(
detectFraught ? typeof(RealDectector) : typeof(FakeDetector));
See how the configuration switch is now simply a boolean flag. This makes the configuration file much more maintainable, since the configuration is now a simple boolean switch instead of a complete type name (that can be misspelled).
Of course doing the ["DetectFraud"] != "false" isn't that nice by itself, but this can simply be solved by creating a strongly-typed configuration helper.
This answer might help as well. Allows you to dynamically, at runtime, provide an implementation. Though, sounds like you don't need it that dynamically and it's a little less obvious what's going on.
There are no plans to obsolete or remove the XML config support in Windsor.
Yes, you are right, it isn't a preferred approach due to its numerous drawbacks.
Anything you can do in XML can be done in code (note that inverse is not true).
Also keep in mind XML is not all-or-nothing. There are many ways to achieve the scenarios you gave as examples without resorting to registration in XML.
Feature toggles
Conditional compilation
if/else in your installer based on a appSettings flag
others...
I've used each of them in different projects in the past.

What does "monolithic" mean?

I've seen it in the context of classes. I suspect it means that the class could use being broken down into logical subunits, but I can't find a good definition. Could you give some examples?
Thanks for the help.
Edit: I love the smart replies, but I'm obviously referring to "monolithic" within a software context. I know about monoliths, megaliths, dolmens, and all the stone-related contexts. Gee, I have enough of them in my country...
Interesting question. I don't think there are any formal definitions of what a monolithic class is, but you've got the idea. A class that contains multiple components that are logically unconnected, or pointlessly coupled, is a monolithic class.
If you've read The Pragmatic Programmer, which I strongly recommend, you can define a monolithic class as an anti-pattern that goes against almost everything from that book.
As for examples, you'll find more in the realm of chip and OS design, where there are formal definitions of monolithic chips/kernels, which are similar to a monolithic class. Here are some examples, although each of them can be argued against being on this list:
JOGL - Java bindings for OpenGL. This could be arguable, and with good reason.
Most academic projects - For obvious reasons.
If you started programming alone, rather than joining a team, then chances are you can open one of your first projects, and there will be a class that is monolithic.
If you look up the etymology of the word you'll see it comes from the Greek monos (single) and lithos (stone). In the context of software as you mention it, it describes a single-tiered application in which the code for the user interface and the data access are combined into a single program from a single platform.
"Monolithic" is a term that has been used to flame succesful software. This link exposes the assumptions inherent in the term, and their limited usefulness.
The basic assumption is that a system works better if it is built from software components that each have an individual, well-defined task. Intuitively, this seems right. If each component works, the entire system must work, right?
In reality, it's not that easy. A larger, compositional (non-monolithic) system can miss a critical function, even when there is no single component to blame. This happens when the architectural design fails to allocate a function to any specific component. This can happen especially if it's a function which doesn't map cleanly to a single component.
Now Linux (to continue with the linked example) in reality is not monolithic. It has a modular userspace on top of a monolithic kernel, a userspace that comes with many separate utilities. Except when it doesn't.
My definition of a Monolithic design in software development, is a design which requires additional functionality to be added to a single indivisible block of code.
PRO:
Everything is in one place, and therefore easy to find
Can be simpler, given there less relations to consider (can also be more complex see cons)
CONS:
Over time as functionality is added the complexity of the system may exponentially increase, to the point new features are extremely hard or impossible to implement
Can make it difficult for multiple developers to work with e.g Entity Framework EDMX files have the entire database in a single file which can be extremely difficult for multiple developers to work on.
Reduced re-usability, by definition it does not have smaller components which can be then reused and re-purposed to solve other problems, unless a complete copy of the code is made and then modified.
A monolithic architecture is a model of software structure which is created as one piece where all Rails tools (ActionMailer, ActiveJob, ActionCable, etc.) can be gathered together with the code that these tools applies. The tools are not connected with each other but they are also not autonomous.
If one feature needs changes, it will influence the work of the whole process and other features because they are parts of one process.
Let’s recall what Ruby on Rails is, what it can offer, its pros and cons. Its most important benefit is that it is easy to work with.
If you write rails new you immediately get a new application at once, then you can create any REST API you want and use Rails helpers and generators, which makes development even easier.
If you need to send emails in your Rails app, then use Rails ActionMailer. When you need to do some hard processing, ActiveJob will help you. With Rails 5 you will also be able to use websockets out of the box. Thus, it will be easy to create chats or make your application more interactive.
In case you use correct DSL syntax, you can use all that and even more immediately. Moreover, you don’t have to know everything about the internal implementation of these tools, consider it’s DSL, and receive the expected result.
It means something is the opposite of modular. A modular application can have parts, referred to as modules, replaced without requiring replacement of the entire application. Whereas a monolithic application, after having a part fixed or upgraded, must be replaced in it's entirety.
From Wikipedia: "Modularity is desirable, in general, as it supports reuse of parts of the application logic and also facilitates maintenance by allowing repair or replacement of parts of the application without requiring wholesale replacement."
So in the context of a monolithic class, all its features are self-contained and if you want to add or alter a feature to the class you would need to alter/add code in the class and recompile it. Conversely a modular class exposes access to functionality which is implemented externally. For example a "Calculator" class may use a separate "Add" class for actually adding numbers; call a "Multiply" function from a separate library; or even call an "Amortize" function from a web service. As long as the each of these functional parts can be altered externally from the class, it is modular.

How To Create a Flexible Plug-In Architecture?

A repeating theme in my development work has been the use of or creation of an in-house plug-in architecture. I've seen it approached many ways - configuration files (XML, .conf, and so on), inheritance frameworks, database information, libraries, and others. In my experience:
A database isn't a great place to store your configuration information, especially co-mingled with data
Attempting this with an inheritance hierarchy requires knowledge about the plug-ins to be coded in, meaning the plug-in architecture isn't all that dynamic
Configuration files work well for providing simple information, but can't handle more complex behaviors
Libraries seem to work well, but the one-way dependencies have to be carefully created.
As I seek to learn from the various architectures I've worked with, I'm also looking to the community for suggestions. How have you implemented a SOLID plug-in architecture? What was your worst failure (or the worst failure you've seen)? What would you do if you were going to implement a new plug-in architecture? What SDK or open source project that you've worked with has the best example of a good architecture?
A few examples I've been finding on my own:
Perl's Module::Plugable and IOC for dependency injection in Perl
The various Spring frameworks (Java, .NET, Python) for dependency injection.
An SO question with a list for Java (including Service Provider Interfaces)
An SO question for C++ pointing to a Dr. Dobbs article
An SO question regarding a specific plugin idea for ASP.NET MVC
These examples seem to play to various language strengths. Is a good plugin architecture necessarily tied to the language? Is it best to use tools to create a plugin architecture, or to do it on one's own following models?
This is not an answer as much as a bunch of potentially useful remarks/examples.
One effective way to make your application extensible is to expose its internals as a scripting language and write all the top level stuff in that language. This makes it quite modifiable and practically future proof (if your primitives are well chosen and implemented). A success story of this kind of thing is Emacs. I prefer this to the eclipse style plugin system because if I want to extend functionality, I don't have to learn the API and write/compile a separate plugin. I can write a 3 line snippet in the current buffer itself, evaluate it and use it. Very smooth learning curve and very pleasing results.
One application which I've extended a little is Trac. It has a component architecture which in this situation means that tasks are delegated to modules that advertise extension points. You can then implement other components which would fit into these points and change the flow. It's a little like Kalkie's suggestion above.
Another one that's good is py.test. It follows the "best API is no API" philosophy and relies purely on hooks being called at every level. You can override these hooks in files/functions named according to a convention and alter the behaviour. You can see the list of plugins on the site to see how quickly/easily they can be implemented.
A few general points.
Try to keep your non-extensible/non-user-modifiable core as small as possible. Delegate everything you can to a higher layer so that the extensibility increases. Less stuff to correct in the core then in case of bad choices.
Related to the above point is that you shouldn't make too many decisions about the direction of your project at the outset. Implement the smallest needed subset and then start writing plugins.
If you are embedding a scripting language, make sure it's a full one in which you can write general programs and not a toy language just for your application.
Reduce boilerplate as much as you can. Don't bother with subclassing, complex APIs, plugin registration and stuff like that. Try to keep it simple so that it's easy and not just possible to extend. This will let your plugin API be used more and will encourage end users to write plugins. Not just plugin developers. py.test does this well. Eclipse as far as I know, does not.
In my experience I've found there are really two types of plug-in Architectures.
One follows the Eclipse model which is meant to allow for freedom and is open-ended.
The other usually requires plugins to follow a narrow API because the plugin will fill a specific function.
To state this in a different way, one allows plugins to access your application while the other allows your application to access plugins.
The distinction is subtle, and sometimes there is no distiction... you want both for your application.
I do not have a ton of experience with Eclipse/Opening up your App to plugins model (the article in Kalkie's post is great). I've read a bit on the way eclipse does things, but nothing more than that.
Yegge's properties blog talks a bit about how the use of the properties pattern allows for plugins and extensibility.
Most of the work I've done has used a plugin architecture to allow my app to access plugins, things like time/display/map data, etc.
Years ago I would create factories, plugin managers and config files to manage all of it and let me determine which plugin to use at runtime.
Now I usually just have a DI framework do most of that work.
I still have to write adapters to use third party libraries, but they usually aren't that bad.
One of the best plug-in architectures that I have seen is implemented in Eclipse. Instead of having an application with a plug-in model, everything is a plug-in. The base application itself is the plug-in framework.
http://www.eclipse.org/articles/Article-Plug-in-architecture/plugin_architecture.html
I'll describe a fairly simple technique that I have use in the past. This approach uses C# reflection to help in the plugin loading process. This technique can be modified so it is applicable to C++ but you lose the convenience of being able to use reflection.
An IPlugin interface is used to identify classes that implement plugins. Methods are added to the interface to allow the application to communicate with the plugin. For example the Init method that the application will use to instruct the plugin to initialize.
To find plugins the application scans a plugin folder for .Net assemblies. Each assembly is loaded. Reflection is used to scan for classes that implement IPlugin. An instance of each plugin class is created.
(Alternatively, an Xml file might list the assemblies and classes to load. This might help performance but I never found an issue with performance).
The Init method is called for each plugin object. It is passed a reference to an object that implements the application interface: IApplication (or something else named specific to your app, eg ITextEditorApplication).
IApplication contains methods that allows the plugin to communicate with the application. For instance if you are writing a text editor this interface would have an OpenDocuments property that allows plugins to enumerate the collection of currently open documents.
This plugin system can be extended to scripting languages, eg Lua, by creating a derived plugin class, eg LuaPlugin that forwards IPlugin functions and the application interface to a Lua script.
This technique allows you to iteratively implement your IPlugin, IApplication and other application-specific interfaces during development. When the application is complete and nicely refactored you can document your exposed interfaces and you should have a nice system for which users can write their own plugins.
I once worked on a project that had to be so flexible in the way each customer could setup the system, which the only good design we found was to ship the customer a C# compiler!
If the spec is filled with words like:
Flexible
Plug-In
Customisable
Ask lots of questions about how you will support the system (and how support will be charged for, as each customer will think their case is the normal case and should not need any plug-ins.), as in my experience
The support of customers (or
fount-line support people) writing
Plug-Ins is a lot harder than the
Architecture
Usualy I use MEF. The Managed Extensibility Framework (or MEF for short) simplifies the creation of extensible applications. MEF offers discovery and composition capabilities that you can leverage to load application extensions.
If you are interested read more...
In my experience, the two best ways to create a flexible plugin architecture are scripting languages and libraries. These two concepts are in my mind orthogonal; the two can be mixed in any proportion, rather like functional and object-oriented programming, but find their greatest strengths when balanced. A library is typically responsible for fulfilling a specific interface with dynamic functionality, whereas scripts tend to emphasise functionality with a dynamic interface.
I have found that an architecture based on scripts managing libraries seems to work the best. The scripting language allows high-level manipulation of lower-level libraries, and the libraries are thus freed from any specific interface, leaving all of the application-level interaction in the more flexible hands of the scripting system.
For this to work, the scripting system must have a fairly robust API, with hooks to the application data, logic, and GUI, as well as the base functionality of importing and executing code from libraries. Further, scripts are usually required to be safe in the sense that the application can gracefully recover from a poorly-written script. Using a scripting system as a layer of indirection means that the application can more easily detach itself in case of Something Bad™.
The means of packaging plugins depends largely on personal preference, but you can never go wrong with a compressed archive with a simple interface, say PluginName.ext in the root directory.
I think you need to first answer the question: "What components are expected to be plugins?"
You want to keep this number to an absolute minimum or the number of combinations which you must test explodes. Try to separate your core product (which should not have too much flexibility) from plugin functionality.
I've found that the IOC (Inversion of Control) principal (read springframework) works well for providing a flexible base, which you can add specialization to to make plugin development simpler.
You can scan the container for the "interface as a plugin type advertisement" mechanism.
You can use the container to inject common dependencies which plugins may require (i.e. ResourceLoaderAware or MessageSourceAware).
The Plug-in Pattern is a software pattern for extending the behaviour of a class with a clean interface. Often behaviour of classes is extended by class inheritance, where the derived class overwrites some of the virtual methods of the class. A problem with this solution is that it conflicts with implementation hiding. It also leads to situations where derived class become a gathering places of unrelated behaviour extensions. Also, scripting is used to implement this pattern as mentioned above "Make internals as a scripting language and write all the top level stuff in that language. This makes it quite modifiable and practically future proof". Libraries use script managing libraries. The scripting language allows high-level manipulation of lower level libraries. (Also as mentioned above)

Application / MVC Event Model

Update: This question was inspired by my larger quest for mapping ontologically the whole software systems architecture enchilada. I've written a blog post about it, and hopefully it will help clarify what I'm after.
Many, many, many frameworks and stacks that's event-driven have too much variation for my little head to get around. Is there somewhere some resources that defines the outline of a reasonable Application Event Model, what events there are, and what triggers are most common?
I've got my own framework with a plugin and event-driven architecture, but I want to open-source it, and as such would like to make it closer to some common ground as not to alienate people.
So to clarify; this is for an application, meaning setting up the environment, the dependencies, the data sources (like databases), and being a MVC framework setting up the model, the view, launching controllers / actions, and in the GUI various stages of the interface (header, content, columns, etc.).
Ideas? Thoughts? Pointers? (And I've made it language and platform neutral at this point)
I read your blog entry, which btw I found an extremely interesting read, but... this question does not seem to reflect the broadness of the issue you are presenting there.
What you are after is very abstract and theoretical. What I mean to say is that if you tie any of those ideas to actual technology you will find yourself 'stuck' with it. This is why many of us are reluctant to use any framework. Especially the 'relabeled' products suddenly claiming to conform to the trend. We choose mainly on the basis of what appears to be needed to reach a predetermined result.
Frameworks (or tools in general) that target the application architecture domain distinguish themselves primarily by the amount of responsibility they are designed to take on. Spring for example only deals with the concept of decoupling and is therefore easily adopted and useable in many situations. The quality of any framework is expressed in terms of how well the designers of such frameworks were able to keep their products within the boundaries of that responsibility. Some front-to-end products will do exactly the opposite, code generators being among the 'worst' of them.
To answer your question at the top of this page, I do not think there is a framework that does what you want at this time and I do not think there is a single model of how applications (should) work. Keep in mind though that the application architecture domain deals with technology more than it does with concepts. In other words: If it works and meets the requirements, then you're pretty much done.
That said, you might find something of value in agent-based systems.
Heh. Most developers pick the major framework they like the tools for and stick with it. That's usually the winning strategy. I sympathize with your desire not to marry a single vendor.
Keep in mind however, that in developing your own framework, you're going to end up tied to a single vendor anyway. :-)
Is there somewhere some resources that defines the outline of a reasonable
Application Event Model, what events there are, and what triggers are most common?
I don't think so.
From what I see, there are two kinds of models out there: those with a real framework with which you can make a working data entry dialog, and abstract meta-meta-models that are optimized for modeling themselves.
Try surveying a few current frameworks that have good documentation online and cross-reference the major terminology in a spreadsheet. It's an interesting exercise.
I'd have a look at Spring for Java, and the XT Framework Spring module (http://springmodules.dev.java.net/docs/reference/0.9/html/xt.html), which apparently supports event-driven architecture, as starting points. Spring has an MVC framework (inc. convention-based routing to controllers), db configuration (for Hibernate, particularly), plus full dependency injection support. There's also a mechanism in Spring for modularising your web apps, called Spring Slices. And it can be integrated with Jersey for building RESTful apps.
(Unfortunately, I tried to provide links to everything, but this place only lets new users post a single link. So you'll have to do some googling :) )