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Functional Programming With Lambdas and Streams in JDK8 Simon Ritter Head of Java Technology Evangelism Oracle Corporation Twitter: @speakjava

Functional Programming With Lambdas and Streams in JDK8

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Functional Programming With Lambdas and Streams in JDK8

Simon RitterHead of Java Technology Evangelism

Oracle Corporation

Twitter: @speakjava

Copyright © 2014, Oracle and/or its affiliates. All rights reserved.

Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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1996 … 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

1.0 5.0 6 7 8

java.lang.Thread

java.util.concurrent(jsr166)

Fork/Join Framework(jsr166y)

Project LambdaConcurrency in Java

Phasers, etc(jsr166)

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Lambdas In Java

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The Problem: External Iteration

List<Student> students = ...

double highestScore = 0.0;

for (Student s : students) {

if (s.getGradYear() == 2011) {

if (s.getScore() > highestScore)

highestScore = s.score;

}

}

• Our code controls iteration

• Inherently serial: iterate from beginning to end

• Not thread-safe

• Business logic is stateful

• Mutable accumulator variable

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Internal Iteration With Inner Classes

• Iteration handled by the library

• Not inherently serial – traversal maybe done in parallel

• Traversal may be done lazily – so one pass, rather than three

• Thread safe – client logic is stateless

• High barrier to use

– Syntactically ugly

More Functional

double highestScore = students

.filter(new Predicate<Student>() {

public boolean op(Student s) {

return s.getGradYear() == 2011;

}

})

.map(new Mapper<Student,Double>() {

public Double extract(Student s) {

return s.getScore();

}

})

.max();

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Internal Iteration With Lambdas

List<Student> students = ...

double highestScore = students

.filter(Student s -> s.getGradYear() == 2011)

.map(Student s -> s.getScore())

.max();

• More readable

• More abstract

• Less error-prone

NOTE: This is not JDK8 code

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Lambda Expressions

• Lambda expressions represent anonymous functions

– Same structure as a method• typed argument list, return type, set of thrown exceptions, and a body

– Not associated with a class

• We now have parameterised behaviour, not just values

Some Details

double highestScore = students.

filter(Student s -> s.getGradYear() == 2011).

map(Student s -> s.getScore())

max();

What

How

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Lambda Expression Types

• Single-method interfaces are used extensively in Java

– Definition: a functional interface is an interface with one abstract method

– Functional interfaces are identified structurally

– The type of a lambda expression will be a functional interface• Lambda expressions provide implementations of the abstract method

interface Comparator<T> { boolean compare(T x, T y); }

interface FileFilter { boolean accept(File x); }

interface Runnable { void run(); }

interface ActionListener { void actionPerformed(…); }

interface Callable<T> { T call(); }

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Local Variable Capture

• Lambda expressions can refer to effectively final local variables from the enclosing scope

• Effectively final: A variable that meets the requirements for final variables (i.e., assigned once), even if not explicitly declared final

• Closures on values, not variables

void expire(File root, long before) {

root.listFiles(File p -> p.lastModified() <= before);

}

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What Does ‘this’ Mean For Lambdas?

• ‘this’ refers to the enclosing object, not the lambda itself

• Think of ‘this’ as a final predefined local

• Remember the Lambda is an anonymous function

– It is not associated with a class

– Therefore there can be no ‘this’ for the Lambda

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Referencing Instance VariablesWhich are not final, or effectively final

class DataProcessor {

private int currentValue;

public void process() {

DataSet myData = myFactory.getDataSet();

dataSet.forEach(d -> d.use(currentValue++));

}

}

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Referencing Instance VariablesThe compiler helps us out

class DataProcessor {

private int currentValue;

public void process() {

DataSet myData = myFactory.getDataSet();

dataSet.forEach(d -> d.use(this.currentValue++);

}

}

‘this’ (which is effectively final) inserted by the compiler

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Type Inference

• The compiler can often infer parameter types in a lambda expression

Inferrence based on the target functional interface’s method signature

• Fully statically typed (no dynamic typing sneaking in)

– More typing with less typing

List<String> list = getList();Collections.sort(list, (String x, String y) -> x.length() - y.length());

Collections.sort(list, (x, y) -> x.length() - y.length());

static T void sort(List<T> l, Comparator<? super T> c);

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Method References

• Method references let us reuse a method as a lambda expression

FileFilter x = File f -> f.canRead();

FileFilter x = File::canRead;

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Constructor References

• Same concept as a method reference

– For the constructor

Factory<List<String>> f = ArrayList<String>::new;

Factory<List<String>> f = () -> return new ArrayList<String>();

Replace with

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Library Evolution

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Library Evolution Goal

• Requirement: aggregate operations on collections–New methods required on Collections to facilitate this

• This is problematic– Can’t add new methods to interfaces without modifying all implementations

– Can’t necessarily find or control all implementations

int heaviestBlueBlock = blocks

.filter(b -> b.getColor() == BLUE)

.map(Block::getWeight)

.reduce(0, Integer::max);

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Solution: Default Methods

• Specified in the interface

• From the caller’s perspective, just an ordinary interface method

• Provides a default implementation• Default only used when implementation classes do not provide a body for the

extension method

• Implementation classes can provide a better version, or not

interface Collection<E> {

default Stream<E> stream() {

return StreamSupport.stream(spliterator());

}

}

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Virtual Extension Methods

• Err, isn’t this implementing multiple inheritance for Java?

• Yes, but Java already has multiple inheritance of types

• This adds multiple inheritance of behavior too

• But not state, which is where most of the trouble is

• Can still be a source of complexity • Class implements two interfaces, both of which have default methods

• Same signature

• How does the compiler differentiate?

• Static methods also allowed in interfaces in Java SE 8

Stop right there!

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Functional Interface Definition

• Single Abstract Method (SAM) type

• A functional interface is an interface that has one abstract method

– Represents a single function contract

– Doesn’t mean it only has one method

• @FunctionalInterface annotation– Helps ensure the functional interface contract is honoured

– Compiler error if not a SAM

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Lambdas In Full Flow:Streams

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Stream Overview

• Abstraction for specifying aggregate computations

– Not a data structure

– Can be infinite

• Simplifies the description of aggregate computations– Exposes opportunities for optimisation

– Fusing, laziness and parallelism

At The High Level

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Stream Overview

• A stream pipeline consists of three types of things

– A source

– Zero or more intermediate operations

– A terminal operation• Producing a result or a side-effect

Pipeline

int total = transactions.stream().filter(t -> t.getBuyer().getCity().equals(“London”)).mapToInt(Transaction::getPrice).sum();

Source

Intermediate operation

Terminal operation

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Stream Sources

• From collections and arrays

– Collection.stream()

– Collection.parallelStream()

– Arrays.stream(T array) or Stream.of()

• Static factories

– IntStream.range()

– Files.walk()

• Roll your own

– java.util.Spliterator

Many Ways To Create

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Stream Terminal Operations

• The pipeline is only evaluated when the terminal operation is called

– All operations can execute sequentially or in parallel

– Intermediate operations can be merged• Avoiding multiple redundant passes on data

• Short-circuit operations (e.g. findFirst)

• Lazy evaluation

– Stream characteristics help identify optimisations• DISTINT stream passed to distinct() is a no-op

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Maps and FlatMapsMap Values in a Stream

Map

FlatMap

Input Stream

Input Stream

1-to-1 mapping

1-to-many mapping

Output Stream

Output Stream

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Optional Class

• Terminal operations like min(), max(), etc do not return a direct result

• Suppose the input Stream is empty?

• Optional<T>– Container for an object reference (null, or real object)

– Think of it like a Stream of 0 or 1 elements

– use get(), ifPresent() and orElse() to access the stored reference

– Can use in more complex ways: filter(), map(), etc

Helping To Eliminate the NullPointerException

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Example 1Convert words in list to upper case

List<String> output = wordList.stream().map(String::toUpperCase).collect(Collectors.toList());

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Example 1Convert words in list to upper case (in parallel)

List<String> output = wordList.parallelStream().map(String::toUpperCase).collect(Collectors.toList());

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Example 2

• BufferedReader has new method

– Stream<String> lines()

Count lines in a file

long count = bufferedReader.lines().count();

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Example 3Join lines 3-4 into a single string

String output = bufferedReader.lines().skip(2).limit(2).collect(Collectors.joining());

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Example 4Collect all words in a file into a list

List<String> output = reader.lines().flatMap(line -> Stream.of(line.split(REGEXP))).filter(word -> word.length() > 0).collect(Collectors.toList());

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Example 5List of unique words in lowercase, sorted by length

List<String> output = reader.lines().flatMap(line -> Stream.of(line.split(REGEXP))).filter(word -> word.length() > 0).map(String::toLowerCase).distinct().sorted((x, y) -> x.length() - y.length()).collect(Collectors.toList());

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Example 6: Real WorldInfinite stream from thermal sensor

private int double currentTemperature;...

thermalReader.lines().mapToDouble(s ->

Double.parseDouble(s.substring(0, s.length() - 1))).map(t -> ((t – 32) * 5 / 9).filter(t -> t != currentTemperature).peek(t -> listener.ifPresent(l -> l.temperatureChanged(t))).forEach(t -> currentTemperature = t);

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Example 6: Real WorldInfinite stream from thermal sensor

private int double currentTemperature;...

thermalReader.lines().mapToDouble(s ->

Double.parseDouble(s.substring(0, s.length() - ))).map(t -> ((t – 32) * 5 / 9).filter(t -> t != this.currentTemperature).peek(t -> listener.ifPresent(l -> l.temperatureChanged(t))).forEach(t -> this.currentTemperature = t);

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Conclusions

• Java needs lambda statements

– Significant improvements in existing libraries are required

• Require a mechanism for interface evolution

– Solution: virtual extension methods

• Bulk operations on Collections– Much simpler with Lambdas

• Java SE 8 evolves the language, libraries, and VM together

Simon RitterOracle Corporartion

Twitter: @speakjava

Copyright © 2014, Oracle and/or its affiliates. All rights reserved.