Scala 2.8 collections design tutorial
Following on from my breathless confusion, what are some good resources which explain how the new Scala 2.8 collections library has been structured. I'm interested to find some information on how the following fit together:
- The collection classes/traits themselves (e.g.
List
,Iterable
) - Why the Like classes exist (e.g.
TraversableLike
) - What the companion methods are for (e.g.
List.companion
) - How I know what
implicit
objects are in scope at a given point
Foreword
There's a 2.8 collection walk-through by Martin Odersky which should probably be your first reference. It has been supplemented as well with architectural notes, which will be of particular interest to those who want to design their own collections.
The rest of this answer was written way before any such thing existed (in fact, before 2.8.0 itself was released).
You can find a paper about it as Scala SID #3. Other papers in that area should be interesting as well to people interested in the differences between Scala 2.7 and 2.8.
I'll quote from the paper, selectively, and complement with some thoughts of mine. There are also some images, generated by Matthias at decodified.com, and the original SVG files can be found here.
The collection classes/traits themselves
There are actually three hierarchies of traits for the collections: one for mutable collections, one for immutable collections, and one which doesn't make any assumptions about the collections.
There's also a distinction between parallel, serial and maybe-parallel collections, which was introduced with Scala 2.9. I'll talk about them in the next section. The hierarchy described in this section refers exclusively to non-parallel collections.
The following image shows the non-specific hierarchy introduced with Scala 2.8:
All elements shown are traits. In the other two hierarchies there are also classes directly inheriting the traits as well as classes which can be viewed as belonging in that hierarchy through implicit conversion to wrapper classes. The legend for these graphs can be found after them.
Graph for immutable hierarchy:
Graph for mutable hierarchy:
Legend:
Here's an abbreviated ASCII depiction of the collection hierarchy, for those who can't see the images.
Traversable
|
|
Iterable
|
+------------------+--------------------+
Map Set Seq
| | |
| +----+----+ +-----+------+
Sorted Map SortedSet BitSet Buffer Vector LinearSeq
Parallel Collections
When Scala 2.9 introduced parallel collections, one of the design goals was to make their use as seamless as possible. In the simplest terms, one can replace a non-parallel (serial) collection with a parallel one, and instantly reap the benefits.
However, since all collections until then were serial, many algorithms using them assumed and depended on the fact that they were serial. Parallel collections fed to the methods with such assumptions would fail. For this reason, all the hierarchy described in the previous section mandates serial processing.
Two new hierarchies were created to support the parallel collections.
The parallel collections hierarchy has the same names for traits, but preceded with Par
: ParIterable
, ParSeq
, ParMap
and ParSet
. Note that there is no ParTraversable
, since any collection supporting parallel access is capable of supporting the stronger ParIterable
trait. It doesn't have some of the more specialized traits present in the serial hierarchy either. This whole hierarchy is found under the directory scala.collection.parallel
.
The classes implementing parallel collections also differ, with ParHashMap
and ParHashSet
for both mutable and immutable parallel collections, plus ParRange
and ParVector
implementing immutable.ParSeq
and ParArray
implementing mutable.ParSeq
.
Another hierarchy also exists that mirrors the traits of serial and parallel collections, but with a prefix Gen
: GenTraversable
, GenIterable
, GenSeq
, GenMap
and GenSet
. These traits are parents to both parallel and serial collections. This means that a method taking a Seq
cannot receive a parallel collection, but a method taking a GenSeq
is expected to work with both serial and parallel collections.
Given the way these hierarchies were structured, code written for Scala 2.8 was fully compatible with Scala 2.9, and demanded serial behavior. Without being rewritten, it cannot take advantage of parallel collections, but the changes required are very small.
Using Parallel Collections
Any collection can be converted into a parallel one by calling the method par
on it. Likewise, any collection can be converted into a serial one by calling the method seq
on it.
If the collection was already of the type requested (parallel or serial), no conversion will take place. If one calls seq
on a parallel collection or par
on a serial collection, however, a new collection with the requested characteristic will be generated.
Do not confuse seq
, which turns a collection into a non-parallel collection, with toSeq
, which returns a Seq
created from the elements of the collection. Calling toSeq
on a parallel collection will return a ParSeq
, not a serial collection.
The Main Traits
While there are many implementing classes and subtraits, there are some basic traits in the hierarchy, each of which providing more methods or more specific guarantees, but reducing the number of classes that could implement them.
In the following subsections, I'll give a brief description of the main traits and the idea behind them.
Trait TraversableOnce
This trait is pretty much like trait Traversable
described below, but with the limitation that you can only use it once. That is, any methods called on a TraversableOnce
may render it unusable.
This limitation makes it possible for the same methods to be shared between the collections and Iterator
. This makes it possible for a method that works with an Iterator
but not using Iterator
-specific methods to actually be able to work with any collection at all, plus iterators, if rewritten to accept TraversableOnce
.
Because TraversableOnce
unifies collections and iterators, it does not appear in the previous graphs, which concern themselves only with collections.
Trait Traversable
At the top of the collection hierarchy is trait Traversable
. Its only abstract operation is
def foreach[U](f: Elem => U)
The operation is meant to traverse all elements of the collection, and apply the given operation f to each element. The application is done for its side effect only; in fact any function result of f is discarded by foreach.
Traversible objects can be finite or infinite. An example of an infinite traversable object is the stream
of natural numbers Stream.from(0)
. The method hasDefiniteSize
indicates whether a collection is possibly
infinite. If hasDefiniteSize
returns true, the collection is certainly finite. If it returns false, the
collection has not been not fully elaborated yet, so it might be infinite or finite.
This class defines methods which can be efficiently implemented in terms of foreach
(over 40 of them).
Trait Iterable
This trait declares an abstract method iterator
that returns an iterator that yields all the collection’s elements one by one. The foreach
method in Iterable
is implemented in terms of iterator
. Subclasses of Iterable
often override foreach with a direct implementation for efficiency.
Class Iterable
also adds some less-often used methods to Traversable
, which can be implemented efficiently only if an iterator
is available. They are summarized below.
xs.iterator An iterator that yields every element in xs, in the same order as foreach traverses elements.
xs takeRight n A collection consisting of the last n elements of xs (or, some arbitrary n elements, if no order is defined).
xs dropRight n The rest of the collection except xs takeRight n.
xs sameElements ys A test whether xs and ys contain the same elements in the same order
Other Traits
After Iterable
there come three base traits which inherit from it: Seq
, Set
, and Map
. All three have an apply
method and all three implement the PartialFunction
trait, but the meaning of apply
is different in each case.
I trust the meaning of Seq
, Set
and Map
is intuitive. After them, the classes break up in specific implementations that offer particular guarantees with regards to performance, and the methods it makes available as a result of it. Also available are some traits with further refinements, such as LinearSeq
, IndexedSeq
and SortedSet
.
The listing below may be improved. Leave a comment with suggestions and I'll fix it.
Base Classes and Traits
-
Traversable
-- Basic collection class. Can be implemented just withforeach
.-
TraversableProxy
-- Proxy for aTraversable
. Just pointself
to the real collection. -
TraversableView
-- A Traversable with some non-strict methods. -
TraversableForwarder
-- Forwards most methods tounderlying
, excepttoString
,hashCode
,equals
,stringPrefix
,newBuilder
,view
and all calls creating a new iterable object of the same kind. -
mutable.Traversable
andimmutable.Traversable
-- same thing asTraversable
, but restricting the collection type. - Other special-cases
Iterable
classes, such asMetaData
, exists. -
Iterable
-- A collection for which anIterator
can be created (throughiterator
).-
IterableProxy
,IterableView
,mutable
andimmutable.Iterable
.
-
-
-
Iterator
-- A trait which is not descendant ofTraversable
. Definenext
andhasNext
.-
CountedIterator
-- AnIterator
definingcount
, which returns the elements seen so far. -
BufferedIterator
-- Defineshead
, which returns the next element without consuming it. - Other special-cases
Iterator
classes, such asSource
, exists.
-
The Maps
-
Map
-- AnIterable
ofTuple2
, which also provides methods for retrieving a value (the second element of the tuple) given a key (the first element of the tuple). ExtendsPartialFunction
as well.-
MapProxy
-- AProxy
for aMap
. -
DefaultMap
-- A trait implementing some ofMap
's abstract methods. -
SortedMap
-- AMap
whose keys are sorted.-
immutable.SortMap
-
immutable.TreeMap
-- A class implementingimmutable.SortedMap
.
-
-
-
immutable.Map
immutable.MapProxy
-
immutable.HashMap
-- A class implementingimmutable.Map
through key hashing. -
immutable.IntMap
-- A class implementingimmutable.Map
specialized forInt
keys. Uses a tree based on the binary digits of the keys. -
immutable.ListMap
-- A class implementingimmutable.Map
through lists. -
immutable.LongMap
-- A class implementingimmutable.Map
specialized forLong
keys. SeeIntMap
. - There are additional classes optimized for an specific number of elements.
-
mutable.Map
-
mutable.HashMap
-- A class implementingmutable.Map
through key hashing. -
mutable.ImmutableMapAdaptor
-- A class implementing amutable.Map
from an existingimmutable.Map
. -
mutable.LinkedHashMap
-- ? -
mutable.ListMap
-- A class implementingmutable.Map
through lists. -
mutable.MultiMap
-- A class accepting more than one distinct value for each key. -
mutable.ObservableMap
-- A mixin which, when mixed with aMap
, publishes events to observers through aPublisher
interface. -
mutable.OpenHashMap
-- A class based on an open hashing algorithm. -
mutable.SynchronizedMap
-- A mixin which should be mixed with aMap
to provide a version of it with synchronized methods. -
mutable.MapProxy
.
-
-
The Sequences
-
Seq
-- A sequence of elements. One assumes a well-defined size and element repetition. ExtendsPartialFunction
as well.-
IndexedSeq
-- Sequences that support O(1) element access and O(1) length computation.IndexedSeqView
-
immutable.PagedSeq
-- An implementation ofIndexedSeq
where the elements are produced on-demand by a function passed through the constructor. -
immutable.IndexedSeq
-
immutable.Range
-- A delimited sequence of integers, closed on the lower end, open on the high end, and with a step.-
immutable.Range.Inclusive
-- ARange
closed on the high end as well. -
immutable.Range.ByOne
-- ARange
whose step is 1.
-
-
immutable.NumericRange
-- A more generic version ofRange
which works with anyIntegral
.-
immutable.NumericRange.Inclusive
,immutable.NumericRange.Exclusive
. -
immutable.WrappedString
,immutable.RichString
-- Wrappers which enables seeing aString
as aSeq[Char]
, while still preserving theString
methods. I'm not sure what the difference between them is.
-
-
-
mutable.IndexedSeq
-
mutable.GenericArray
-- AnSeq
-based array-like structure. Note that the "class"Array
is Java'sArray
, which is more of a memory storage method than a class. -
mutable.ResizableArray
-- Internal class used by classes based on resizable arrays. -
mutable.PriorityQueue
,mutable.SynchronizedPriorityQueue
-- Classes implementing prioritized queues -- queues where the elements are dequeued according to anOrdering
first, and order of queueing last. -
mutable.PriorityQueueProxy
-- an abstractProxy
for aPriorityQueue
.
-
-
LinearSeq
-- A trait for linear sequences, with efficient time forisEmpty
,head
andtail
.-
immutable.LinearSeq
-
immutable.List
-- An immutable, singlely-linked, list implementation. -
immutable.Stream
-- A lazy-list. Its elements are only computed on-demand, but memoized (kept in memory) afterwards. It can be theoretically infinite.
-
-
mutable.LinearSeq
-
mutable.DoublyLinkedList
-- A list with mutableprev
,head
(elem
) andtail
(next
). -
mutable.LinkedList
-- A list with mutablehead
(elem
) andtail
(next
). -
mutable.MutableList
-- A class used internally to implement classes based on mutable lists.-
mutable.Queue
,mutable.QueueProxy
-- A data structure optimized for FIFO (First-In, First-Out) operations. -
mutable.QueueProxy
-- AProxy
for amutable.Queue
.
-
-
-
-
SeqProxy
,SeqView
,SeqForwarder
-
immutable.Seq
-
immutable.Queue
-- A class implementing a FIFO-optimized (First-In, First-Out) data structure. There is no common superclass of bothmutable
andimmutable
queues. -
immutable.Stack
-- A class implementing a LIFO-optimized (Last-In, First-Out) data structure. There is no common superclass of bothmutable
immutable
stacks. -
immutable.Vector
-- ? -
scala.xml.NodeSeq
-- A specialized XML class which extendsimmutable.Seq
. -
immutable.IndexedSeq
-- As seen above. -
immutable.LinearSeq
-- As seen above.
-
-
mutable.ArrayStack
-- A class implementing a LIFO-optimized data structure using arrays. Supposedly significantly faster than a normal stack. -
mutable.Stack
,mutable.SynchronizedStack
-- Classes implementing a LIFO-optimized data structure. -
mutable.StackProxy
-- AProxy
for amutable.Stack
.. -
mutable.Seq
-
mutable.Buffer
-- Sequence of elements which can be changed by appending, prepending or inserting new members.-
mutable.ArrayBuffer
-- An implementation of themutable.Buffer
class, with constant amortized time for the append, update and random access operations. It has some specialized subclasses, such asNodeBuffer
. -
mutable.BufferProxy
,mutable.SynchronizedBuffer
. -
mutable.ListBuffer
-- A buffer backed by a list. It provides constant time append and prepend, with most other operations being linear. -
mutable.ObservableBuffer
-- A mixin trait which, when mixed to aBuffer
, provides notification events through aPublisher
interfaces. -
mutable.IndexedSeq
-- As seen above. -
mutable.LinearSeq
-- As seen above.
-
-
-
The Sets
-
Set
-- A set is a collection that includes at most one of any object.-
BitSet
-- A set of integers stored as a bitset.immutable.BitSet
mutable.BitSet
-
SortedSet
-- A set whose elements are ordered.-
immutable.SortedSet
-
immutable.TreeSet
-- An implementation of aSortedSet
based on a tree.
-
-
-
SetProxy
-- AProxy
for aSet
. -
immutable.Set
-
immutable.HashSet
-- An implementation ofSet
based on element hashing. -
immutable.ListSet
-- An implementation ofSet
based on lists. - Additional set classes exists to provide optimized implementions for sets from 0 to 4 elements.
-
immutable.SetProxy
-- AProxy
for an immutableSet
.
-
-
mutable.Set
-
mutable.HashSet
-- An implementation ofSet
based on element hashing. -
mutable.ImmutableSetAdaptor
-- A class implementing a mutableSet
from an immutableSet
. -
LinkedHashSet
-- An implementation ofSet
based on lists. -
ObservableSet
-- A mixin trait which, when mixed with aSet
, provides notification events through aPublisher
interface. -
SetProxy
-- AProxy
for aSet
. -
SynchronizedSet
-- A mixin trait which, when mixed with aSet
, provides notification events through aPublisher
interface.
-
-
- Why the Like classes exist (e.g. TraversableLike)
This was done to achieve maximum code reuse. The concrete generic implementation for classes with a certain structure (a traversable, a map, etc) is done in the Like classes. The classes intended for general consumption, then, override selected methods that can be optmized.
- What the companion methods are for (e.g. List.companion)
The builder for the classes, ie, the object which knows how to create instances of that class in a way that can be used by methods like map
, is created by a method in the companion object. So, in order to build an object of type X, I need to get that builder from the companion object of X. Unfortunately, there is no way, in Scala, to get from class X to object X. Because of that, there is a method defined in each instance of X, companion
, which returns the companion object of class X.
While there might be some use for such method in normal programs, its target is enabling code reuse in the collection library.
- How I know what implicit objects are in scope at a given point
You aren't supposed to care about that. They are implicit precisely so that you don't need to figure out how to make it work.
These implicits exists to enable the methods on the collections to be defined on parent classes but still return a collection of the same type. For example, the map
method is defined on TraversableLike
, but if you used on a List
you'll get a List
back.