Seguir leyendo →

I recently wrote a bigger project in the D programming language, the appstream-generator (asgen). Since I rarely leave the C/C++/Python realm, and came to like many aspects of D, I thought blogging about my experience could be useful for people considering to use D.

Disclaimer: I am not an expert on programming language design, and this is not universally valid criticism of D – just my personal opinion from building one project with it.

Why choose D in the first place?

The previous AppStream generator was written in Python, which wasn’t ideal for the task for multiple reasons, most notably multiprocessing and LMDB not working well together (and in general, multiprocessing being terrible to work with) and the need to reimplement some already existing C code in Python again.

So, I wanted a compiled language which would work well together with the existing C code in libappstream. Using C was an option, but my least favourite one (writing this in C would have been much more cumbersome). I looked at Go and Rust and wrote some small programs performing basic operations that I needed for asgen, to get a feeling for the language. Interfacing C code with Go was relatively hard – since libappstream is a GObject-based C library, I expected to be able to auto-generate Go bindings from the GIR, but there were only few outdated projects available which did that. Rust on the other hand required the most time in learning it, and since I only briefly looked into it, I still can’t write Rust code without having the coding reference open. I started to implement the same examples in D just for fun, as I didn’t plan to use D (I was aiming at Go back then), but the language looked interesting. The D language had the huge advantage of being very familiar to me as a C/C++ programmer, while also having a rich standard library, which included great stuff like std.concurrency.Generator, std.parallelism, etc. Translating Python code into D was incredibly easy, additionally a gir-d-generator which is actively maintained exists (I created a small fork anyway, to be able to directly link against the libappstream library, instead of dynamically loading it).

What is great about D?

This list is just a huge braindump of things I had on my mind at the time of writing

Interfacing with C

There are multiple things which make D awesome, for example interfacing with C code – and to a limited degree with C++ code – is really easy. Also, working with functions from C in D feels natural. Take these C functions imported into D:

extern(C):
nothrow:

struct _mystruct {}
alias mystruct_p = _mystruct*;

mystruct_p = mystruct_create ();
mystruct_load_file (mystruct_p my, const(char) *filename);
mystruct_free (mystruct_p my);

You can call them from D code in two ways:

auto test = mystruct_create ();
// treating "test" as function parameter
mystruct_load_file (test, "/tmp/example");
// treating the function as member of "test"
test.mystruct_load_file ("/tmp/example");
test.mystruct_free ();

This allows writing logically sane code, in case the C functions can really be considered member functions of the struct they are acting on. This property of the language is a general concept, so a function which takes a `string` as first parameter, can also be called like a member function of `string`.

Writing D bindings to existing C code is also really simple, and can even be automatized using tools like dstep. Since D can also easily export C functions, calling D code from C is also possible.

Getting rid of C++ “cruft”

There are many things which are bad in C++, some of which are inherited from C. D kills pretty much all of the stuff I found annoying. Some cool stuff from D is now in C++ as well, which makes this point a bit less strong, but it’s still valid. E.g. getting rid of the `#include` preprocessor dance by using symbolic import statements makes sense, and there have IMHO been huge improvements over C++ when it comes to metaprogramming.

Incredibly powerful metaprogramming

Getting into detail about that would take way too long, but the metaprogramming abilities of D must be mentioned. You can do pretty much anything at compiletime, for example compiling regular expressions to make them run faster at runtime, or mixing in additional code from string constants. The template system is also very well thought out, and never caused me headaches as much as C++ sometimes manages to do.

Built-in unit-test support

Unittesting with D is really easy: You just add one or more `unittest { }` blocks to your code, in which you write your tests. When running the tests, the D compiler will collect the unittest blocks and build a test application out of them.

The `unittest` scope is useful, because you can keep the actual code and the tests close together, and it encourages writing tests and keep them up-to-date. Additionally, D has built-in support for contract programming, which helps to further reduce bugs by validating input/output.

Safe D

While D gives you the whole power of a low-level system programming language, it also allows you to write safer code and have the compiler check for that, while still being able to use unsafe functions when needed.

Unfortunately, `@safe` is not the default for functions though.

Separate operators for addition and concatenation

D exclusively uses the `+` operator for addition, while the `~` operator is used for concatenation. This is likely a personal quirk, but I love it very much that this distinction exists. It’s nice for things like addition of two vectors vs. concatenation of vectors, and makes the whole language much more precise in its meaning.

Optional garbage collector

D has an optional garbage collector. Developing in D without GC is currently a bit cumbersome, but these issues are being addressed. If you can live with a GC though, having it active makes programming much easier.

Built-in documentation generator

This is almost granted for most new languages, but still something I want to mention: Ddoc is a standard tool to generate code documentation for D code, with a defined syntax for describing function parameters, classes, etc. It will even take the contents of a `unittest { }` scope to generate automatic examples for the usage of a function, which is pretty cool.

Scope blocks

The `scope` statement allows one to execute a bit of code before the function exists, when it failed or was successful. This is incredibly useful when working with C code, where a free statement needs to be issued when the function is exited, or some arbitrary cleanup needs to be performed on error. Yes, we do have smart pointers in C++ and – with some GCC/Clang extensions – a similar feature in C too. But the scopes concept in D is much more powerful. See Scope Guard Statement for details.

Built-in syntax for parallel programming

Working with threads is so much more fun in D compared to C! I recommend taking a look at the parallelism chapter of the “Programming in D” book.

“Pure” functions

D allows to mark functions as purely-functional, which allows the compiler to do optimizations on them, e.g. cache their return value. See pure-functions.

D is fast!

D matches the speed of C++ in almost all occasions, so you won’t lose performance when writing D code – that is, unless you have the GC run often in a threaded environment.

Very active and friendly community

The D community is very active and friendly – so far I only had good experience, and I basically came into the community asking some tough questions regarding distro-integration and ABI stability of D. The D community is very enthusiastic about pushing D and especially the metaprogramming features of D to its limits, and consists of very knowledgeable people. Most discussion happens at the forums/newsgroups at forum.dlang.org.

What is bad about D?

Half-proprietary reference compiler

This is probably the biggest issue. Not because the proprietary compiler is bad per se, but because of the implications this has for the D ecosystem.

For the reference D compiler, Digital Mars’ D (DMD), only the frontend is distributed under a free license (Boost), while the backend is proprietary. The FLOSS frontend is what the free compilers, LLVM D Compiler (LDC) and GNU D Compiler (GDC) are based on. But since DMD is the reference compiler, most features land there first, and the Phobos standard library and druntime is tuned to work with DMD first.

Since major Linux distributions can’t ship with DMD, and the free compilers GDC and LDC lack behind DMD in terms of language, runtime and standard-library compatibility, this creates a split world of code that compiles with LDC, GDC or DMD, but never with all D compilers due to it relying on features not yet in e.g. GDCs Phobos.

Especially for Linux distributions, there is no way to say “use this compiler to get the best and latest D compatibility”. Additionally, if people can’t simply `apt install latest-d`, they are less likely to try the language. This is probably mainly an issue on Linux, but since Linux is the place where web applications are usually written and people are likely to try out new languages, it’s really bad that the proprietary reference compiler is hurting D adoption in that way.

That being said, I want to make clear DMD is a great compiler, which is very fast and build efficient code. I only criticise the fact that it is the language reference compiler.

UPDATE: To clarify the half-proprietary nature of the compiler, let me quote the D FAQ:

The front end for the dmd D compiler is open source. The back end for dmd is licensed from Symantec, and is not compatible with open-source licenses such as the GPL. Nonetheless, the complete source comes with the compiler, and all development takes place publically on github. Compilers using the DMD front end and the GCC and LLVM open source backends are also available. The runtime library is completely open source using the Boost License 1.0. The gdc and ldc D compilers are completely open sourced.

Phobos (standard library) is deprecating features too quickly

This basically goes hand in hand with the compiler issue mentioned above. Each D compiler ships its own version of Phobos, which it was tested against. For GDC, which I used to compile my code due to LDC having bugs at that time, this means that it is shipping with a very outdated copy of Phobos. Due to the rapid evolution of Phobos, this meant that the documentation of Phobos and the actual code I was working with were not always in sync, leading to many frustrating experiences.

Furthermore, Phobos is sometimes removing deprecated bits about a year after they have been deprecated. Together with the older-Phobos situation, you might find yourself in a place where a feature was dropped, but the cool replacement is not yet available. Or you are unable to import some 3rd-party code because it uses some deprecated-and-removed feature internally. Or you are unable to use other code, because it was developed with a D compiler shipping with a newer Phobos.

This is really annoying, and probably the biggest source of unhappiness I had while working with D – especially the documentation not matching the actual code is a bad experience for someone new to the language.

Incomplete free compilers with varying degrees of maturity

LDC and GDC have bugs, and for someone new to the language it’s not clear which one to choose. Both LDC and GDC have their own issues at time, but they are rapidly getting better, and I only encountered some actual compiler bugs in LDC (GDC worked fine, but with an incredibly out-of-date Phobos). All issues are fixed meanwhile, but this was a frustrating experience. Some clear advice or explanation which of the free compilers is to prefer when you are new to D would be neat.

For GDC in particular, being developed outside of the main GCC project is likely a problem, because distributors need to manually add it to their GCC packaging, instead of having it readily available. I assume this is due to the DRuntime/Phobos not being subjected to the FSF CLA, but I can’t actually say anything substantial about this issue. Debian adds GDC to its GCC packaging, but e.g. Fedora does not do that.

No ABI compatibility

D has a defined ABI – too bad that in reality, the compilers are not interoperable. A binary compiled with GDC can’t call a library compiled with LDC or DMD. GDC actually doesn’t even support building shared libraries yet. For distributions, this is quite terrible, because it means that there must be one default D compiler, without any exception, and that users also need to use that specific compiler to link against distribution-provided D libraries. The different runtimes per compiler complicate that problem further.

The D package manager, dub, does not yet play well with distro packaging

This is an issue that is important to me, since I want my software to be easily packageable by Linux distributions. The issues causing packaging to be hard are reported as dub issue #838 and issue #839, with quite positive feedback so far, so this might soon be solved.

The GC is sometimes an issue

The garbage collector in D is quite dated (according to their own docs) and is currently being reworked. While working with asgen, which is a program creating a large amount of interconnected data structures in a threaded environment, I realized that the GC is significantly slowing down the application when threads are used (it also seems to use UNIX signals `SIGUSR1` and `SIGUSR2` to stop/resume threads, which I still find odd). Also, the GC performed poorly on memory pressure, which did get asgen killed by the OOM killer on some more memory-constrained machines. Triggering a manual collection run after a large amount of these interconnected data structures wasn’t needed anymore solved this problem for most systems, but it would of course have been better to not needing to give the GC any hints. The stop-the-world behavior isn’t a problem for asgen, but it might be for other applications.

These issues are at time being worked on, with a GSoC project laying the foundation for further GC improvements.

“version” is a reserved word

Okay, that is admittedly a very tiny nitpick, but when developing an app which works with packages and versions, it’s slightly annoying. The `version` keyword is used for conditional compilation, and needing to abbreviate it to `ver` in all parts of the code sucks a little (e.g. the “Package” interface can’t have a property “version”, but now has “ver” instead).

The ecosystem is not (yet) mature

In general it can be said that the D ecosystem, while existing for almost 9 years, is not yet that mature. There are various quirks you have to deal with when working with D code on Linux. It’s always nothing major, usually you can easily solve these issues and go on, but it’s annoying to have these papercuts.

This is not something which can be resolved by D itself, this point will solve itself as more people start to use D and D support in Linux distributions gets more polished.

Conclusion

I like to work with D, and I consider it to be a great language – the quirks it has in its toolchain are not that bad to prevent writing great things with it.

At time, if I am not writing a shared library or something which uses much existing C++ code, I would prefer D for that task. If a garbage collector is a problem (e.g. for some real-time applications, or when the target architecture can’t run a GC), I would not recommend to use D. Rust seems to be the much better choice then.

In any case, D’s flat learning curve (for C/C++ people) paired with the smart choices taken in language design, the powerful metaprogramming, the rich standard library and helpful community makes it great to try out and to develop software for scenarios where you would otherwise choose C++ or Java. Quite honestly, I think D could be a great language for tasks where you would usually choose Python, Java or C++, and I am seriously considering to replace quite some Python code with D code. For very low-level stuff, C is IMHO still the better choice.

As always, choosing the right programming language is only 50% technical aspects, and 50% personal taste

UPDATE: To get some idea of D, check out the D tour on the new website tour.dlang.org.

With the Open Source Event Manager (OSEM), one of the Ruby on Rails apps I hack on, we're heading down the road to version 1.0. A feature we absolutely wanted to have, before making this step, was an easy deployment to at least one of the many Platform as a Service (PaaS) providers. We deemed this important for two reasons:

1. Before people commit to use your precious little app they want to try it. And this has to be hassle free.
2. Getting your server operating system ready to deploy Ruby on Rails applications can be tedious, too tedious for some people.

So I have been working on making our app ready for Heroku which is currently the most popular PaaS provider for rails (is it?). This was an interesting road, this is my travelogue.

Storage in the public cloud

Storing files is incredibly easy in Rails, there are many ready made solutions for it like paperclip, dragonfly or carrierwave. The challenge with Heroku is, that on their free plan, your apps storage will be discarded the moment it is stopped or restarted. This happens for instance every time during a deployment or when the app goes to sleep because nobody is using it.

And even though it's easy to store files in Rails, we in the OSEM team have long discouraged this in our app. We rather try to make it as easy as possible to reference things you have shared somewhere else. Want to show a picture of your Events location? Use the ones you share on flickr or instagram anyway. Embed a video of a Talk? Just paste the Youtube or Vimeo link. Share the slides with your audience? Slideshare or Speakerdeck to the rescue!

OSEM commercials by Henne Vogelsang licensed CC BY 4.0

Still there are some places left in our app where we upload pictures. Pictures we think conference organizers are not necessarily free to share on other platforms, like sponsor logos or pictures of sponsored lodgings. So to be able to use OSEM on Heroku our file upload needed support for offloading the files to someone else's computer a.k.a. *the cloud*. In the end I have settled for the carrierwave plug in of cloudinary (pull request #970).

This means it's now as easy as configuring the cloudinary gem and making use of their free plan to shove off all the storage OSEM needs to them.

Storage was the first gap in OSEM that I closed, another piece of the puzzle was configuration.

Configuration in the environment

According to some clever people it's too easy to mistakenly check in your apps configuration file into your version control system. That's the reason your apps environment should provide all the settings. I'm not a big fan of putting stickers onto microwaves that say you can't use it to dry your cat. If people want to be stupid, let them.

But hey 12-Factor is a thing, let's roll with it! So in pull request #900 I removed all traces of OSEMs YAML configuration file and now all the settings happen in environment variables.

This was the second gap I had to close to be able to run our app on Heroku. Now all of the sudden things where falling into place and some very interesting things emerged for OSEM.

Continuous Deployment

One of the reasons I have gone down this road was to make it easy for people to try out OSEM. Now once you can run your app on Heroku you can also integrate your github repository and run a continuous deployment (every commit get's deployed right away). That made it possible for us to set up an OSEM demo instance for people to try which always runs the latest code. All we had to do is to make use of data from our test suite to populate the demo (pull request #982) and voila...

OSEM demo by Henne Vogelsang licensed CC BY 4.0

Continuous Review

So a continuous deployment of the latest code with some sample data. Does that sound useful for you as free software developer? I think being a free software developer first and foremost means collaborating with varying people from all over. People I work with on a daily basis and people who I never had contact with before. Collaboration mostly means reviewing each others changes to our code. It's pretty easy as we have rules and tools for that in place. What is not so easy is to do the same for changes to the functionality, the user experience design, of our app.

In the OSEM team we some times attach a series of screenshots or animated gifs to a github pull requests to convey changes to the user interaction and work flows, but this is usually no replacement for trying yourself. Then in the middle of me doing all of this Heroku Review Apps happened. Review apps are instant, disposable deployments of your app that spin up automatically with each pull request.

OSEM heroku pipeline by Henne Vogelsang licensed CC BY 4.0

Now, once someone sends a pull request where I want to review the user experience design I just press the 'Create Review App' button on Heroku and a minute later I get the a temporary instance populated with test data. Magic.

More things to come?

Another thing we might want to replace in the future is how we spin up developer instances. So far we use Vagrant which starts your OSEM checkout in a virtual machine. But nowadays you have to have docker containers in the mix right? Let's see what the future brings.

All in all, I must say, it was a nice trip into the Platform as a Service world. Surprisingly easy to do and even more surprisingly rewarding for the development work flow. What do you think?

A new version of Danbooru Client is now available!

What is Danbooru Client?

Danbooru Client is an application to access Danbooru-based image boards (Wikipedia definition).

It offers a convenient, KF5 and Qt5-based GUI coupled with a QML image view to browse, view, and download images hosted in two of the most famous Danbooru boards (konachan.com and yande.re).

Highglights of the new version

• Support for width / height based filtering: now you can exclude posts that are below a specific width or height (or both)
• New dependency: KTextWidgets

Coming up next

Sooner or later I’ll get to finish the multiple API support, but given that there’s close to no interest for these programs (people are happy to use a browser) and that I work on this very irregularly (every 6-7 months at best), there’s no ETA at all. It might be done this year, perhaps the next.

Release details

Currently, there is only a source tarball. For security, I have signed it with my public GPG key (A29D259B) and I have also provided a SHA-512 hash of the release.

• Source tarball (XZ compressed)
• GPG signature
• SHA-512 checksum