I understand Ruby and Python's yield. What does Scala's yield do?
It is used in sequence comprehensions (like Python's list-comprehensions and generators, where you may use yield
too).
It is applied in combination with for
and writes a new element into the resulting sequence.
Simple example (from scala-lang)
/** Turn command line arguments to uppercase */
object Main {
def main(args: Array[String]) {
val res = for (a <- args) yield a.toUpperCase
println("Arguments: " + res.toString)
}
}
The corresponding expression in F# would be
[ for a in args -> a.toUpperCase ]
or
from a in args select a.toUpperCase
in Linq.
Ruby's yield
has a different effect.
Unless you get a better answer from a Scala user (which I'm not), here's my understanding.
It only appears as part of an expression beginning with for
, which states how to generate a new list from an existing list.
Something like:
var doubled = for (n <= original) yield n * 2
So there's one output item for each input (although I believe there's a way of dropping duplicates).
This is quite different from the "imperative continuations" enabled by yield in other languages, where it provides a way to generate a list of any length, from some imperative code with almost any structure.
(If you're familiar with C#, it's closer to Linq's select
operator than it is to yield return
).
Yes, as Earwicker said, it's pretty much the equivalent to LINQ's select
and has very little to do with Ruby's and Python's yield
. Basically, where in C# you would write
select ??? from ...
in Scala you have instead
for ... yield ???
It's also important to understand that for
-comprehensions don't just work with sequences, but with any type which defines certain methods, just like LINQ:
- If your type defines just
map
, it allowsfor
-expressions consisting of a single generator. - If it defines
flatMap
as well asmap
, it allowsfor
-expressions consisting of several generators. - If it defines
foreach
, it allowsfor
-loops without yield (both with single and multiple generators). - If it defines
filter
, it allowsfor
-filter expressions starting with anif
in thefor
expression.
I think the accepted answer is great, but it seems many people have failed to grasp some fundamental points.
First, Scala's "for comprehensions" are equivalent to Haskell's "do" notation, and it is nothing more than a syntactic sugar for composition of multiple monadic operations. As this statement will most likely not help anyone who needs help, let's try again... :-)
Scala's "for comprehensions" is syntactic sugar for composition of multiple operations with map, flatMap and filter. Or foreach. Scala actually translates a for-expression into calls to those methods, so any class providing them, or a subset of them, can be used with for comprehensions.
First, let's talk about the translations. There are very simple rules:
1) This
for(x <- c1; y <- c2; z <-c3) {...}
is translated into
c1.forearch(x => c2.foreach(y => c3.foreach(z => {...})))
2) This
for(x <- c1; y <- c2; z <- c3) yield {...}
is translated into
c1.flatMap(x => c2.flatMap(y => c3.map(z => {...})))
3) This
for(x <- c; if cond) yield {...}
is translated on Scala 2.7 into
c.filter(x => cond).map(x => {...})
or, on Scala 2.8, into
c.withFilter(x => cond).map(x => {...})
with a fallback into the former if method withFilter
is not available but filter
is. Please see the edit below for more information on this.
4) This
for(x <- c; y = ...) yield {...}
is translated into
c.map(x => (x, ...)).map((x,y) => {...})
When you look at very simple for comprehensions, the map/foreach alternatives look, indeed, better. Once you start composing them, though, you can easily get lost in parenthesis and nesting levels. When that happens, for comprehensions are usually much clearer.
I'll show one simple example, and intentionally ommit any explanation. You can decide which syntax was easier to understand.
l.flatMap(sl => sl.filter(el => el > 0).map(el => el.toString.length))
or
for{
sl <- l
el <- sl
if el > 0
} yield el.toString.length
EDIT
Scala 2.8 introduced a method called withFilter
, whose main difference is that, instead of returning a new, filtered, collection, it filters on-demand. The filter
method has its behavior defined based on the strictness of the collection. To understand this better, let's take a look at some Scala 2.7 with List
(strict) and Stream
(non-strict):
scala> var found = false
found: Boolean = false
scala> List.range(1,10).filter(_ % 2 == 1 && !found).foreach(x => if (x == 5) found = true else println(x))
1
3
7
9
scala> found = false
found: Boolean = false
scala> Stream.range(1,10).filter(_ % 2 == 1 && !found).foreach(x => if (x == 5) found = true else println(x))
1
3
The difference happens because filter is immediately applied with List
, returning a list of odds -- since found
is false
. Only then foreach
is executed, but, by this time, changing found
is meaningless, as filter
has already executed.
In the case of Stream
, the condition is not immediatelly applied. Instead, as each element is requested by foreach
, filter
tests the condition, which enables foreach
to influence it through found
. Just to make it clear, here is the equivalent for-comprehension code:
for (x <- List.range(1, 10); if x % 2 == 1 && !found)
if (x == 5) found = true else println(x)
for (x <- Stream.range(1, 10); if x % 2 == 1 && !found)
if (x == 5) found = true else println(x)
This caused many problems, because people expected the if
to be considered on-demand, instead of being applied to the whole collection beforehand.
Scala 2.8 introduced withFilter
, which is always non-strict, no matter the strictness of the collection. The following example shows List
with both methods on Scala 2.8:
scala> var found = false
found: Boolean = false
scala> List.range(1,10).filter(_ % 2 == 1 && !found).foreach(x => if (x == 5) found = true else println(x))
1
3
7
9
scala> found = false
found: Boolean = false
scala> List.range(1,10).withFilter(_ % 2 == 1 && !found).foreach(x => if (x == 5) found = true else println(x))
1
3
This produces the result most people expect, without changing how filter
behaves. As a side note, Range
was changed from non-strict to strict between Scala 2.7 and Scala 2.8.