Go 1.11 and Beyond
docs.google.com
docs.google.com
He also hints that it would likely only be done to address major issues/concerns/changes such as:
* generics
* modules (perhaps done? time will tell)
* errors (if err != nil {}, extra type information, chaining, etc)
* context
Still to early to tell if anything I listed or he listed would be part of "Go 2" or whatever it happens to be called.
Go project lead Russ Cox already talked about that on an episode of the Go Time podcast. Transcript: https://changelog.com/gotime/77#transcript-60
Anyway, I will miss our GOPATH overlords. I have enough decisions to make, I'm fine with the language making some for me.
The more they stall adding stuff like generics the more painful (and more work for the tools and ecosystem to catch up) will be when they eventually cave in and do it...
And there will always be all the workarounds, third party solutions, and wasted efforts that would could have been avoided if something that could have been delivered early on (like e.g. package management) didn't come a decade late for no good reason.
At least now they've come up with a module/dependency system, which, even though a decade late, doesn't bring anything extraordinary to the table compared to what other platforms already had for ages.
Generics and error management remain before it makes sense to make it stable and boring for eternity...
I would be interested to hear about use cases that couldn't be solved in this manner
It sounds like you're going to reject proposals for generics on the grounds that "you could just cast values of type `interface{}`" unless someone can show you a situation where you can't do that. The problem is that the people who want this sort of feature don't think that's even a solution.
It is a bit like asking a Java-programmer to use Java 1.4.
When you ask a Java programmer, or C# programmer or Haskell programmer or Swift programmer or... what they would change in the language you do not get the answer: remove generics.
Go generate is like a manual step for having generics, I imagine one day soon its functionality or something similar will be part of go build.
In response to your particular example, a map plus a mutex seems sufficient.
I dig that it's a few extra lines of code, but I guess I'm looking for a really mean example.
Well, if you don't care about repeating yourself, mistakes by omission, needless boilerplate, and/or loss of type safety, then, sure, everything is possible in "a few extra lines of code" in a turing complete language...
The problem with your mutex solution is at least two:
1) it is more complex
* more lines to type and read and check and thus harder to understand
* you can forget the mutex
* if you have data structures of hastables, you will have to pass mutexes around or store them together with the tables.
2) it is not nearly as performent as a lock free hash table
(edit indentation)
So the first version of BIDS, Borland's C++ data structures library, used pre-processor tricks where one defined the types before including the respective data structure.
So go generate as workaround feels quite old.
So, I don't want to remove them from the language. However, I do question a large percentage is their use in everyday programming.
I'll start by saying - I largely agree with you. Libraries, particularly of data structures, are the biggest weakness of Go as a language.
However, this bit is not really fair:
> When you ask a Java programmer, or C# programmer or Haskell programmer or Swift programmer or... what they would change in the language you do not get the answer: remove generics.
Much like values, language features need to be compared to each other, not evaluated in isolation.
Everyone likes loyalty, but some people value it over honesty and some value the reverse.
Everyone likes generics, but some people value faster compile times, a more simple language implementation and a lower learning curve more. Some people value it less.
If you wanted a simpler language, you would not make slices and hash tables generic, would you?
If you wanted lower learning curve, you would not make special case generics would you?
If you wanted to wait, to get the perfect generic solution because a sub-optimal one is not good enough, you would not create a sub-optimal non-perfect temporal solution with special-cased generics for certain data types would you?
If you argue that I am loyal and not honest, and therefore like generics because it is used in my favorite language, I think you are wrong.
The languages I use most of the time have a huge design flaw. It is called null. But when they created Go they chose to (except in special cases) get rid of (useful) generics instead of the disaster that is null.
The problem is that Go has not learnt from other languages. It is too imperative, not expressive enough, lacking in static typing and horrible at fault handling.
It's pretty difficult for generics not to adversely affect compile times. This is especially so if you actually emit specialized code for each type.
Compared to what? Non having type-specific code?
Because if you manually write (or use code generation madness as some propose) that type specific code you need yourself, then the compiler will take the same time to compile it as if generics were a language feature.
Not every implementation needs to be turing complete C++ style.
The compilation speed drop is easily seen when using gccgo instead.
A side note for Delphi, it is still relatively used in European enterprises, with an yearly conference in Germany.
And I could have mentioned other languages like Eiffel, with their mixed JIT for development and AOT via C compilers for final delivery.
Very scientific.
No, I know all of the languages that you mentioned except CLU. And since I don't think there are even any practical CLU implementations available for modern hardware, I'm not sure how you are able to compare CLU compile times to Go compile times. Are you maintaining a legacy CLU codebase or something?
Now, if there are scientific comparisons available, I'll happily defer to those. But unless you spend inordinate amounts of your time comparing compile times between languages, I doubt that you have any scientific info to go on either.
Doesn't look like actually knowing them to me.
> Are you maintaining a legacy CLU codebase or something?
No, just you are apparently stating that a CLU compiler developed to be usable in 1971 hardware will run slower than Go on 2018 hardware, which doesn't make much sense.
Talking numbers, D was taking 1.24s to compile its complete standard library in 2010, (too lazy to try out the latest version) including the piles of template code that it has.
https://digitalmars.com/d/archives/digitalmars/D/D_compilati...
I followed in the instructions for building Phobos on the wiki here at https://wiki.dlang.org/Building_under_Posix:
real 0m12.269s
user 0m12.896s
sys 0m2.150s
Quite a lot of that time appears to be spent linking. I wonder if the post on the mailing list was reporting the literal compile time, rather than the build time?It was a bit difficult to find a go project of similar size that was easy to build. The backend component of limetext is about 10k LOC compared to 35k for Phobos. When I do a ‘time go build -o foo’ in go/src/github.com/limetext/backend, I get the following:
real 0m0.163s
user 0m0.140s
sys 0m0.207s
Multiply that by 3 plus a bit to compensate for the LOC difference, and it's still pretty good.Still no idea what you are on getting with regard to CLU. We don't have any info on how fast it compiled.
I don't think you fully grasp the breakthrough that the theory behind Go modules is for dependency management in general. It vastly improves on and simplifies anything that existed in this domain before.
It's like saying Copernican heliocentrism didn't bring anything extraordinary to the table compared to Ptolemaic geocentrism. https://en.wikipedia.org/wiki/Copernican_Revolution#/media/F...
One of my greatest hopes is I can convince my teammates that its be worth the time investment to transition all our dependencies management ecosystems into the Minimum Version Selection algorithm.
It only seems like a revolution because the previous situation in Go was such a mess. As someone that writes a lot of both Rust and Go I’m not nearly as impressed.
I've read the specs and justification posts. I don't find it gives anything better (and in some ways it's worse) than what can be achieved with, e.g. cargo.
>It's like saying Copernican heliocentrism didn't bring anything extraordinary to the table compared to Ptolemaic geocentrism
Yeah, it's like saying that, with the only difference that we're actually talking about something that brought nothing extraordinary here (as opposed in the contrived example).
"Go 1.11 supports the upcoming OpenBSD 6.4 release. Due to changes in the OpenBSD kernel, older versions of Go will not work on OpenBSD 6.4."
This is, I assume, because Go makes direct syscalls rather than going through the C library. Many operating systems, including Windows, don't consider that a stable public interface.
So does this mean that older Go binaries will stop working when you upgrade the OS? I guess that would make the source compatibility extra important to them, since you must keep recompiling your old programs as you upgrade to newer a OS. (Perhaps it's also why they're dropping support for older OS versions so quickly?)
An example of this was the change to 64-bit time_t back in 2013 (talk: https://www.openbsd.org/papers/eurobsdcon_2013_time_t/ ), and evolving syscalls like pledge(2) that changed syntax between releases as the problems/benefits of a specific implementation choices were learned.
Windows in no way requires libc. You're right that it does require you to call their public interface dlls, but they're pretty ridiculously stable.
In particular, Godoc is absolutely effortless. No build step in your project, no cryptic documentation syntax, no need to tell the documentation generator how to link to your dependencies' documentation pages, etc. Everything just works, and the output is quite a lot cleaner than the aforementioned as well.
No doubt there's a little room for improvement in how the text is layed out and organized, but it's still leagues better than all other documentation systems I've used. With Python (sphinxdocs) in particular, everything gets rendered into a giant page with no clues about what class's `__str__()` method I'm currently looking at.
Also, i’ve never found Rust’s docs to be very easy to read; maybe the complexity of the type system makes for a more challenging UX, or maybe my opinion is simply an outlier.
In any case, it’s good to know things can get even better. Thanks for sharing!
See for example https://docs.rs/diesel/1.2.2/diesel/pg/index.html.
Godoc is too plain and almost cumbersome to read for me, while Elixir is too pretty and not so efficient in displaying the type information in my opinion.
Rust has a happy middle ground here.
The mileage does vary greatly apparently.
godoc maintainer here. We have a lot of UI improvements coming for 1.12.
- A TOC at the top
- A sidebar for easy scrolling
- More cross-links for easy navigation.
If hotlinking comes through, that's a major improvement in itself.
Stay tuned !
That is Aug 2020 or Feb 2021 for generics.
(borrowing the '@' prefix for macros from Julia)
type ConcreteStruct @macroType(int64)
val := @errReturner(file.Write(data))
and backwards compatibility is allowed by running the go2 compiler in macro-expansion-only mode that creates macro expanded Go1 compatible source.
Have a look at modern web development. Because they have no macros, they wrote a bunch of tools which "compile" different domain specific languages (DSL's) to "the real stuff". Nowadays you compile pseudo HTML, pseudo CSS and JavaScript (modern style) to HTML, CSS and JavaScript (backward compatible, a.k.a. old style JS). That's insane. On the other hand, whiteout those code-transformation tools – which are called macros if they are built into the language – all those fancy and simple web-tools would not be feasible.
Ignoring macros means to me oversimplifying programming. Which results into not solving the real (meta) problem. For a while you will get away without macros/code generation, but in the long run they are inevitable.
I prefer safe AST based macro than runtime reflection like Go has. The latter is actually a cop-out, unlike the former in the context of type safety at compile time.
"Everybody go an invent your own way to handle error checking/propagation" etc...
func Foo(x int) (int, error) { var err error a, err := whatever() if err != nil { return 0, err } b, err := whatever() if err != nil { return 0, err } ... }
becomes
func Foo(x int) (int, error) { var err error whenever err != nil { return 0, err } a, err := whatever() b, err := whatever() ... }
Essentially, "whenever" just means "insert this line at every point in the remainder of this code block where err is assigned a new value.
It is explicit, simple, easy to understand, and would be identical in function to how most errors are currently handled.
func Foo(x int) (int, error) {
var err error
a, err := whatever()
if err != nil {
return 0, err
}
b, err := whatever()
if err != nil {
return 0, err
}
...
}
func Foo(x int) (int, error) {
var err error
whenever err != nil {
return 0, err
}
a, err := whatever()
b, err := whatever()
...
}And no, I don't see code generation as a good thing. It's fragile and difficult to safely upgrade.
Of course someone could always prove me wrong by doing just that.
Golang is simple only for toy examples.
At scale Golang codebases are difficult to navigate, understand and test due to the repetitive repetition of repetitious repeats.
And the idea that at-the-time-viable alternative languages like Java, C++ or D are too slow for something as relatively lightly trafficked as the core Kubernetes controller codebase is just plain silly.
I've not found Go difficult to navigate because of repetition. Quite the reverse really - it's easy to reason about where everything comes from and (usually) easy to work out how everything connects together. I would take that any day over a large Java codebase with the usual obfuscations of dependency injection, or a Python or C++ codebase where somebody has tried to be "clever".
People have also written bad Golang and good Java.
The difference for me is: given the choice between good Java and good Golang, I'd take Java. I don't have acres of stuff in my damn way.
The problems C++ has have nothing to do with those things anyway.
Haskell has both generics and great error management, and it's not C++. Ditto for OcamL and any number of languages...