Basically my job as a staff these days, though not quite that number. I try to pair with those junior to me on some dicey parts of their code at least once a week to get some solid coding time in, and I try to do grunt work that others are not going to get to that can apply leverage to the overall productivity of the organization as a whole.
Implementing complicated sub-systems or features entire from scratch by myself though? Feels like those days are long gone for me. I might get a prototype or sketch out and have someone else implement it, but that's about it.
Temporal Tables and their query language were formalized in ANSI SQL 2011 standard, so hopefully it is only a matter of time and resources to see it added into the postgres core directly.
My personal beef is that most of the time it acts like hidden global dependencies, and the configuration of those dependencies, along with their lifetimes, becomes harder to understand by not being traceable in the source code.
Dependency injection is just passing your dependencies in as constructor arguments rather than as hidden dependencies that the class itself creates and manages.
It's equivalent to partial application.
An uninstantiated class that follows the dependency injection pattern is equivalent to a family of functions with N+Mk arguments, where Mk is the number of parameters in method k.
Upon instantiation by passing constructor arguments, you've created a family of functions each with a distinct sets of Mk parameters, and N arguments in common.
> Dependency injection is just passing your dependencies in as constructor arguments rather than as hidden dependencies that the class itself creates and manages.
That's the best way to think of it fundamentally. But the main implication of that which is at some point something has to know how to resolve those dependencies - i.e. they can't just be constructed and then injected from magic land. So global cradles/resolvers/containers/injectors/providers (depending on your language and framework) are also typically part and parcel of DI, and that can have some big implications on the structure of your code that some people don't like. Also you can inject functions and methods not just constructors.
That's because those containers are convenient to use. If you don't like using them, you can configure the entire application statically from your program's entry point if you prefer.
> Dependency injection is just passing your dependencies in as constructor arguments rather than as hidden dependencies that the class itself creates and manages.
This is all well and good, but you also need a bunch of code that handles resolving those dependencies, which oftentimes ends up being complex and hard to debug and will also cause runtime errors instead of compile time errors, which I find to be more or less unacceptable.
Edit: to elaborate on this, I’ve seen DI frameworks not be used in “enterprise” projects a grand total of zero times. I’ve done DI directly in personal projects and it was fine, but in most cases you don’t get to make that choice.
Just last week, when working on a Java project that’s been around for a decade or so, there were issues after migrating it from Spring to Spring Boot - when compiled through the IDE and with the configuration to allow lazy dependency resolution it would work (too many circular dependencies to change the code instead), but when built within a container by Maven that same exact code and configuration would no longer work and injection would fail.
I’m hoping it’s not one of those weird JDK platform bugs but rather an issue with how the codebase is compiled during the container image build, but the issue is mind boggling. More fun, if you take the .jar that’s built in the IDE and put it in the container, then everything works, otherwise it doesn’t. No compilation warnings, most of the startup is fine, but if you build it in the container, you get a DI runtime error about no lazy resolution being enabled even if you hardcode the setting to be on in Java code: https://docs.spring.io/spring-boot/api/kotlin/spring-boot-pr...
I’ve also seen similar issues before containers, where locally it would run on Jetty and use Tomcat on server environments, leading to everything compiling and working locally but throwing injection errors on the server.
What’s more, it’s not like you can (easily) put a breakpoint on whatever is trying to inject the dependencies - after years of Java and Spring I grow more and more convinced that anything that doesn’t generate code that you can inspect directly (e.g. how you can look at a generated MapStruct mapper implementation) is somewhat user hostile and will complicate things. At least modern Spring Boot is good in that more of the configuration is just code, because otherwise good luck debugging why some XML configuration is acting weird.
In other words, DI can make things more messy due to a bunch of technical factors around how it’s implemented (also good luck reading those stack traces), albeit even in the case of Java something like Dagger feels more sane https://dagger.dev/ despite never really catching on.
Of course, one could say that circular dependencies or configuration issues are project specific, but given enough time and projects you will almost inevitably get those sorts of headaches. So while the theory of DI is nice, you can’t just have the theory without practice.
Inclined to agree. Consider that a singleton dependency is essentially a global, and differs from a traditional global, only in that the reference is kept in a container and supplied magically via a constructor variable. Also consider that constructor calls are now outside the application layer frames of the callstack, in case you want to trace execution.
Dependency injection is not hidden. It's quite the opposite: dependency injection lists explicitly all the dependencies in a well defined place.
Hidden dependencies are: untyped context variable; global "service registry", etc. Those are hidden, the only way to find out which dependencies given module has is to carefully read its code and code of all called functions.
To me it‘s rather anti-functional. Normally, when you instantiate a class, the resulting object’s behavior only depends on the constructor arguments you pass it (= the behavior is purely a function of the arguments). With dependency injection, the object’s behavior may depend on some hidden configuration, and not even inspecting the class’ source code will be able to tell you the source of that bevavior, because there’s only an @Inject annotation without any further information.
Conversely, when you modify the configuration of which implementation gets injected for which interface type, you potentially modify the behavior of many places in the code (including, potentially, the behavior of dependencies your project may have), without having passed that code any arguments to that effect. A function executing that code suddenly behaves differently, without any indication of that difference at the call site, or traceable from the call site. That’s the opposite of the functional paradigm.
> because there’s only an @Inject annotation without any further information
It sounds like you have a gripe with a particular DI framework and not the idea of Dependency Injection. Because
> Normally, when you instantiate a class, the resulting object’s behavior only depends on the constructor arguments you pass it (= the behavior is purely a function of the arguments)
With Dependency Injection this is generally still true, even more so than normal because you're making the constructor's dependencies explicit in the arguments. If you have a class CriticalErrorLogger(), you can't directly tell where it logs to, is it using a flat file or stdout or a network logger? If you instead have a class CriticalErrorLogger(logger *io.writer), then when you create it you know exactly what it's using to log because you had to instantiate it and pass it in.
Or like Kortilla said, instead of passing in a class or struct you can pass in a function, so using the same example, something like CriticalErrorLogger(fn write)
I don't quite understand your example, but I don't think the particulars make much of a difference. We can go with the most general description: With dependency injection, you define points in your code where dependencies are injected. The injection point is usually a variable (this includes the case of constructor parameters), whose value (the dependency) will be set by the dependency injection framework. The behavior of the code that reads the variable and hence the injected value will then depend on the specific value that was injected.
My issue with that is this: From the point of view of the code accessing the injected value (and from the point of view of that code's callers), the value appears like out of thin air. There is no way to trace back from that code where the value came from. Similarly, when defining which value will be injected, it can be difficult to trace all the places where it will be injected.
In addition, there are often lifetime issues involved, when the injected value is itself a stateful object, or may indirectly depend on mutable, cached, or lazy-initialized, possibly external state. The time when the value's internal state is initialized or modified, or whether or not it is shared between separate injection points, is something that can't be deduced from the source code containing the injection points, but is often relevant for behavior, error handling, and general reasoning about the code.
All of this makes it more difficult to reason about the injected values, and about the code whose behavior will depend on those values, from looking at the source code.
> whose value (the dependency) will be set by the dependency injection framework
I agree with your definition except for this part, you don't need any framework to do dependency injection. It's simply the idea that instead of having an abstract base class CriticalErrorLogger, with the concrete implementations of StdOutCriticalErrorLogger, FileCriticalErrorLogger, AwsCloudwatchCriticalErrorLogger which bake their dependency into the class design; you instead have a concrete class CriticalErrorLogger(dep *dependency) and create dependency objects externally that implement identical interfaces in different ways. You do text formatting, generating a traceback, etc, and then call dep.write(myFormattedLogString), and the dependency handles whatever that means.
I agree with you that most DI frameworks are too clever and hide too much, and some forms of DI like setter injection and reflection based injection are instant spaghetti code generators. But things like Constructor Injection or Method Injection are so simple they often feel obvious and not like Dependency Injection even though they are. I love DI, but I hate DI frameworks; I've never seen a benefit except for retrofitting legacy code with DI.
And yeah it does add the issue or lifetime management. That's an easy place to F things up in your code using DI and requires careful thought in some circumstances. I can't argue against that.
But DI doesn't need frameworks or magic methods or attributes to work. And there's a lot of situations where DI reduces code duplication, makes refactoring and testing easier, and actually makes code feel less magical than using internal dependencies.
The basic principle is much simpler than most DI frameworks make it seem. Instead of initializing a dependency internally, receive the dependency in some way. It can be through overly abstracted layers or magic methods, but it can also be as simple as adding an argument to the constructor or a given method that takes a reference to the dependency and uses that.
The pattern you are describing is what I know as the Strategy pattern [0]. See the example there with the Car class that takes a BrakeBehavior as a constructor parameter [1]. I have no issue with that and use it regularly. The Strategy pattern precedes the notion of dependency injection by around ten years.
The term Dependency Injection was coined by Martin Fowler with this article: https://martinfowler.com/articles/injection.html. See how it presents the examples in terms of wiring up components from a configuration, and how it concludes with stressing the importance of "the principle of separating service configuration from the use of services within an application". The article also presents constructor injection as only one of several forms of dependency injection.
That is how everyone understood dependency injection when it became popular 10-20 years ago: A way to customize behavior at the top application/deployment level by configuration, without having to pass arguments around throughout half the code base to the final object that uses them.
Apparently there has been a divergence of how the term is being understood.
[1] The fact that Car is abstract in the example is immaterial to the pattern, and a bit unfortunate in the Wikipedia article, from a didactic point of view.
They're not really exclusive ideas. The Constructor Injection section in Fowler's article is exactly the same as the Strategy pattern. But no one talks about the Strategy pattern anymore, it's all wrapped into the idea of DI and that's what caught on.
It was interesting reading this exchange. I have a similar understanding of DI to you. I have never even heard of a DI framework and I have trouble picturing what it would look like. It was interesting to watch you two converge on where the disconnect was.
> dependency injection is a programming technique in which an object or function receives other objects or functions that it requires, as opposed to creating them internally
It starts off feeling like a superpower allowing to to change a system's behaviour without changing its code directly. It quickly devolves into a maintenance nightmare though every time I've encountered it.
I'm talking more specifically about Aspect Oriented Programming though and DI containers in OOP, which seemed pretty clever in theory, but have a lot of issues in reality.
I take no issues with currying in functional programming.
In terms of aspects I try to keep it limited to already existing framework touch points for things like logging, authentication and configuration loading. I find that writing middleware that you control with declarative attributes can be good for those use cases.
There are other good uses of it but it absolutely can get out of control, especially if implemented by someone whose just discovered it and wants to use it for everything.
r9k is the origin of a huge amount of modern youth culture and slang. The obsessive vanity and "looksmaxxing" and all the associated terminology comes directly out of the incel culture on that board. It is extremely mainstream now.
I'm reminded of some of the 'virtue' of the crassness and unfriendliness of the chans - namely, they are not friendly to corporations. No corporation wants to be found to be associated with such a place, spewing slurs and bigotry, however ironic, in order to sell their goods.
This has its own problems, obviously, but there is something to a monied-interests-unfriendly set of cultural shibboleths.
I'll buy an expensive hat and eat it, though, if the chans aren't already crawling with sinister propagand-anon-automatons playing tug of war with the Overton window of edgelord discourse.
The craziest and stupidest things I hear regularly are from older people. There are broad swathes of old people that, not having been raised to be skeptical about media consumption on the internet, are entirely credulous about all manner of insane dis/mis-information.
That said, it's also something I'm seeing with younger people as well.
>If you're clever you add a manual review stage in the pipeline and have the db engineers approve the generated migration script before deployment is completed automatically.
This is how I've set it up at my current employer. It works well. We modeled it after the Terraform Plan/Apply steps, and double check that the script generated by the "apply" step matches the script generated by the "plan" step, since these can occur at significant temporal distances, and fail it if not, just so that we can be sure what we've read and approved matches what gets executed.
> db engineers approve the generated migration script
yeah - this is definitely the intended flow here. We won't be recommending anyone blindly applying generated migrations.
As you mention, it is expected that you generate & review on your local development machine, check into source control, push & merge. We've also been using this internally for ~2 years now and it works great
Sorry, Bill Gates is not PMC - if we're going with a neo-Marxist analysit of class, Gates is firmly Bourgeoisie, while all of us operating the business machines of the day and using our intellect to help organize and manage the resources of society are the PMC.
With what and against what? There will be spy satellites and drones and automated turrets that will turn you to pulp if you come within, say, 50KM of their compound borders.
Basically my job as a staff these days, though not quite that number. I try to pair with those junior to me on some dicey parts of their code at least once a week to get some solid coding time in, and I try to do grunt work that others are not going to get to that can apply leverage to the overall productivity of the organization as a whole.
Implementing complicated sub-systems or features entire from scratch by myself though? Feels like those days are long gone for me. I might get a prototype or sketch out and have someone else implement it, but that's about it.
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