Scala 2.11.0-RC1 is now available
scala-lang.org
scala-lang.org
New features in the 2.11 series
This release contains all of the bug fixes and improvements made in the 2.10 series, as well as:
Collections
Immutable HashMaps and HashSets perform faster filters, unions, and the like, with improved structural sharing (lower memory usage or churn).
Mutable LongMap and AnyRefMap have been added to provide improved performance when keys are Long or AnyRef (performance enhancement of up to 4x or 2x respectively). BigDecimal is more explicit about rounding and numeric representations, and better handles very large values without exhausting memory (by avoiding unnecessary conversions to BigInt).
List has improved performance on map, flatMap, and collect.
See also Deprecation above: we have slated many classes and methods to become final, to clarify which classes are not meant to be subclassed and to facilitate future maintenance and performance improvements.
Modularization
The core Scala standard library jar has shed 20% of its bytecode. The modules for xml, parsing, swing as well as the (unsupported) continuations plugin and library are available individually or via scala-library-all. Note that this artifact has weaker binary compatibility guarantees than scala-library – as explained above.
The compiler has been modularized internally, to separate the presentation compiler, scaladoc and the REPL. We hope this will make it easier to contribute. In this release, all of these modules are still packaged in scala-compiler.jar. We plan to ship them in separate JARs in 2.12.x.
Reflection, macros and quasiquotes
Please see this detailed changelog that lists all significant changes and provides advice on forward and backward compatibility.
See also this summary of the experimental side of the 2.11 development cycle. #3321 introduced Sprinter, a new AST pretty-printing library! Very useful for tools that deal with source code.
Back-end
The GenBCode back-end (experimental in 2.11). See @magarciaepfl’s extensive documentation.
A new experimental way of compiling closures, implemented by @JamesIry. With -Ydelambdafy:method anonymous functions are compiled faster, with a smaller bytecode footprint. This works by keeping the function body as a private (static, if no this reference is needed) method of the enclosing class, and at the last moment during compilation emitting a small anonymous class that extends FunctionN and delegates to it. This sets the scene for a smooth migration to Java 8-style lambdas (not yet implemented).
Branch elimination through constant analysis #2214
Compiler Performance
Incremental compilation has been improved significantly. To try it out, upgrade to sbt 0.13.2-M2 and add incOptions := incOptions.value.withNameHashing(true) to your build! Other build tools are also supported. More info at this sbt issue – that’s where most of the work happened. More features are planned, e.g. class-based tracking.
We’ve been optimizing the batch compiler’s performance as well, and will continue to work on this during the 2.11.x cycle.
Improve performance of reflection SI-6638
IDE * Numerous bug fixes and improvements!
REPL
The bytecode decompiler command, :javap, now works with Java 7 SI-4936 and has sprouted new options SI-6894 (Thanks, @som-snytt!)
Added command :kind to help to tell ground types from type constructors. #2340 (Thanks, George Leontiev and Eugene Yokota!)
The interpreter can now be embedded as a JSR-166 Scripting Engine SI-874. (Thanks, Raphael Jolly!)
Warnings * Warn about unused private / local terms and types, and unused imports, under -Xlint. This will even tell you when a local var could be a val.
Slimming down the compiler
The experimental .NET backend has been removed from the compiler.
Scala 2.10 shipped with new implementations of the Pattern Matcher and the Bytecode Emitter. We have removed the old implementations.
Search and destroy mission for ~5000 chunks of dead code. #1648
I beg to differ with this. Any languages gets easy to read & write once you master it. After having finished the Scala course and spending considerable time trying to get grips with the language, I was still totally clueless about a majority of the features.
Although I really liked how powerful Scala it is even if you grok 30% of its features but the learning curve required to master it is extremely steep. Prof Odersky has been quite vocal about the feature bloat and lets hope the future releases are more conservative in that sense.
Scala is the language that helps you write better code. In the kinds of projects that I've been working for the last 3 years, requiring parallelism, efficient usage of resources, asynchronicity, redundancy, scalability, throughput, reliability on the whole, I can honestly say that none of the other languages could do a better job.
On features, it actually doesn't have many, but the features that it does have are powerful enough that you can have bigger abstractions. For example, "async" is not a language feature such as in C#, but a library. Of course, there's much to learn, especially concepts that have been borrowed from Haskell or other FP languages with a Scala-ish twist, like persistent data-structures, type-classes, futures/promises, iteratees and in general, what's the deal with monads, monoids and applicative functors. In training beginners explaining these concepts was the most difficult part of the training, trumping all others considerations, starting from the basics like "don't use vars".
Scala is difficult because it's a functional programming language, beautifully blended with OOP, being in fact a better OOP language than most mainstream OOP languages. Learning FP and then learning OOP in a way not exposed by languages like Java and then learning what good design looks like, grokking a lot of FP design patterns in the process, that can be very overwhelming. For any developer that is not familiar with a good FP language already, or that thinks OOP is what Java gives you, the transition can be pretty painful. On the other hand - I'm of the opinion that if learning a new language is not painful, then it doesn't give you anything of value, so learning it is pretty useless.
Two takeaways from my article:
1. start reading a book on it
2. subscribe to the scala-user mailing list and ask any questions you may have - some developers there are very advanced, so don't get intimidated by the topics, as beginners' questions are very welcome
I got started with "Scala for the Impatient" and I like its style. You can still get about one third of the book from TypeSafe's website, which is enough to get the ball rolling. It's written for Scala 2.9 so it doesn't have Futures in it, plus you should ignore the stuff about actors in later chapters (actors from the standard library are deprecated, Akka actors have been the norm for some time - and at first you should ignore actors completely, since that's a big topic). But that's OK. In case you'd prefer another book, make sure to not read anything published before 2010 as (IMHO) everything published before 2010 is awful.
Since I wrote that article a couple of newer books happened, that I haven't read, like "Scala in Action" or "Atomic Scala" and thus cannot recommend, but I've heard good things about, so ask others or read reviews, etc...
There's also an advanced book called "Functional Programming in Scala", by Paul Chiusano and Rúnar Bjarnason, I've read about 8 chapters from it and it's a really, really good book on FP design & concepts. However it's a hard read, because while the language is approachable and doesn't assume much Scala knowledge, it's the kind of book that's designed around mind-bending (SICP-style) exercises - it takes me about 1 week to get through a chapter and right now I don't have time for the rest, but with each chapter my knowledge expands :-)
If you like an IDE, IntelliJ IDEA 13 for Scala is everything you'd expect out of an IDE, but as I've said in my blog post, when I'm learning a new language I don't want to bother with learning a new toolset too, so I start with a comfortable plain-text editor and work from there.
When you get stuck, I must emphasize on nr.2 - ask questions on scala-user - beginners are always welcome.
As for books you may want to check out Scala for the Impatient and Programming in Scala.
With Scala I felt like the level of understanding/mastery required to truly feel at home was significantly higher than I've encountered before. Looking into some of the code in the wild gave me instant headaches. Developing in a language where you can be presented with code and draw a complete blank is not a reassuring experience.
It's still a beast id like to tame, but not when I have work to get done anytime soon.
How long did it take you to go from zero to being able to get stuff done, when you started to learn programming?
Complaining that Scala is unlike C# or Ruby doesn't make sense, since if you want C# or Ruby, might as well stick with C# or Ruby. And what came first anyway? Guess you started out with C#, since it's more popular in universities, right? Well, when you got into Ruby, where you able to understand all the meta-programming going on in like all the popular libraries?
Speaking of which, after working a lot with Ruby, I still have problems in grokking other people's code when meta-programming is involved, since it's almost always a fragile design that's stitched together with spit and glue and I can never wrap my head around all the things that could happen in the right context. This is very, very unlike my experience with Scala. Yes, it's difficult to learn because many new concepts are involved, but once passed that learning curve, everything becomes much clearer instead of going down a rabbit whole.
I went into Scala wanting to use it for a new project, expecting to pick it up like I had other languages but unfortunately I was unprepared for the task/sheer scale and had to switch back to a language I knew well.
Whenever I have time I'll continue to study it fully aware of the rewards, but with a better understanding of the time required to get to grips with it.
Languages never get simpler as they age, and Scala is certainly proof of that rule.
If anything, advanced features that make up for good academic papers have priority over fixing bugs and streamlining the libraries.
Paul Phillips, a Typesafe cofounder, recently left the company and went on a tour explaining why he thought Scala was headed in the wrong direction:
Paul Philips is an awesome developer, contributed a lot to Scala and he did quit because he thought that Scala was headed in the wrong direction. These are the facts. On the other hand the kind of problems he described are problems that happen in every mainstream language, either due to the pressure of keeping it stable and of backwards compatibility (you know, real world concerns) or because current languages aren't equipped to handle it or because of pragmatic reasons with which he doesn't agree with. And in fact, speaking of "academic papers", some of the problems he cares about can only be fixed for real in languages with dependent types (ever heard of one?).
As for "fixing bugs and streamlining the libraries", if you bothered reading the release notes on Scala 2.11-RC1 before commenting, you would know that this release is exactly about fixing bugs, modularizing the compiler, improved compilation times, streamlining the libraries, eliminating deprecated stuff and so on. By all accounts, it will be an awesome release even though it doesn't add features to the language. It won't solve all of Paul's concerns of course, but there are people that actually care and work on these problems.
But then, whenever that happens, people start complaining that Scala breaks backwards compatibility too often. Apparently you can't please everybody. And btw, the Scala core devs also have plans for breaking source compatibility by implementing a Go-like source-code migrator to get rid of deprecated syntax sometimes in the future.
Most importantly - at the end of that talk, Paul Philips still claims that Scala is his favorite language. But then again, you weren't really interested in what he actually had to say, did you?
For Scala 2.11 I'm excited about the focus on performance of map and flatmap in List. Those are my bread and butter at the moment. It's amazing how intuïtive that becomes once you use it everyday for dealing with futures, collections etc and you forget about the mathematical monad etc underpinnings for a moment.
I hope that splitting xml parsing off into a module will reinvigorate xml support that's highly performant and easy to use. Of course json is all the hotness. But there's a lot of xml services out there to be used. So that's a core tool for a lot of applications.
I can't wait to try out the compiler/sbt speed improvements in sbt 13.2. I seem to recall that there are talks on unifying the compilation of sbt and the IDE. That's something I look forward to since I tend to use the ~ continuous run/test/compile options of sbt and then having another compilation going on at the same time within my IDE seems wasteful.
I do hope that the Eclipse Scala IDE gets enough love and will continue to improve. A lot of companies in the Java space got used to free IDEs. (I know that's penny wise) So having a good free IDE is a strong enabler for grass roots Scala adoption.
Together with the super support for JS MVC applications that's coming up in Play 2.3 I'm looking forward to putting this to use.
Yeah, it's mostly the same people with multiple accounts.
http://www.reddit.com/r/scala/comments/1sdmdq/sockpuppet_acc...
> Any languages gets easy to read & write once you master it
Perl :(
I've been coding mostly in Scala for a couple of years now and am still learning new things. The more I learn the more I realise how powerful the features are.
Compilation speed is also drastically improved by using the type system. If you give your code well defined internal interfaces, there will be very little recompilation needed by SBT's incremental compiler. Your code will be cleaner too.
http://www.chrisstucchio.com/blog/2014/bondage_and_disciplin...
- def foo(x: X) = new G2
+ def foo(x: X) = new G3
Definitely type inference also leads to volatile member signatures, but if the compiler could reach the 1 million lines/second level, then it wouldn't be such a big deal.
In Scala you get things like this:
scala> Option(3) match { case Some(nr) => println(nr) }
<console>:9: warning: match may not be exhaustive.
It would fail on the following input: None
val stillAMap: Map[String, String] = Map("hello" -> "world").map {
case (key, value) => (key, value + ", Alex")
}
val iterOfInt: Iterable[Int] = Map("hello" -> "world").map {
case (key, value) => value.length
}
val iterOfAny: Iterable[Any] = iterOfInt
trait Foo {
def isOperational: Boolean
def isDispatched: Boolean
}
object Available extends Foo {
val isOperational = true
val isDispatched = false
}
object RampUp extends Foo {
val isOperational = true
val isDispatched = true
}
object Fault extends Foo {
val isOperational = false
val isDispatched = false
}
// ...
trait Foo
trait IsOperational extends Foo
trait IsNotOperational extends Foo
trait IsDispatched extends Foo
trait IsNotDispatched extends Foo
object Available extends IsOperational with IsNotDispatched
object RampUp extends IsOperational with IsDispatched
object Fault extends IsNotOperational with IsNotDispatched
// ...
object IsDispatched {
def unapply(state: IsOperational) = state match {
case ref: IsDispatched => Some(ref)
case _ => None
}
}
Basically Scala is the type of static language with which you can enforce correctness of the business logic with types. Yes, the compiler is slow, but it's slow because it does so much and IMHO, that's time well spent.
Now I also like dynamic languages and on the issue of static versus dynamic, I think David Pollak said it better than I could - static type systems work better if the shape of the data you're working with is well defined, whereas dynamic type systems work better if the shape of the data is not well defined. So usually people are on either side of this debate depending on what they are working on ;-)