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From Collections to Streams in Java 8 Using Lambda Expressions
Год выпуска: 2015
Производитель: Pluralsight
Сайт производителя: pluralsight.com
Автор: Jose Paumard
Продолжительность: 4:01
Тип раздаваемого материала: Видеоклипы
Язык: Английский
Описание: Java 8 brought many new patterns to build efficient and clean applications. In this course, we cover one most important new thing: lambda expressions. Lambdas are a nice thing, but would be useless without new patterns to process data. These new patterns have been added to the Collection Framework, and to a the new Stream API. This course quickly explains what the map / filter / reduce pattern is about, and why is has been added to the Stream API. This new API is precisely described: how it can be used to efficiently process data and how it can be used in parallel. Caveats and corner cases are also shown.


Lambda Expressions and Functional Interfaces
Introduction to the Course
What Are You Going to Learn in This Course?
Agenda of the Course
Who Are You? What Should You Know to Follow This Course?
Agenda of This Module
Lambda Expression: Introduction, Instances of Anonymous Classes
Lambda Expression: Passing Code as a Parameter
Let Us Write Our First, Simple Lambda Expressions
Lambda Expression: Remarks and Precisions
Method References: A First Example with an Instance Method
Method References: A Second Example with a Static Method
Method References: The System.out.println Pattern
How to Create New API: Default and Static Methods in Interfaces
Live Coding Introduction: The Comparator Example
Implementing a Comparator with Lambda Expressions
Comparing by Age, Last Name, and First Name
Refactoring the Comparison with a Key Extractor
Implementing the Comparator.comparing Static Method
Making the Key Extractor Generic, Returning Comparable Objects
Chaining Comparators with the thenComparing Default Method
Writing the Comparator.thenComparing Implementation
Writing the Final Comparator Creation and Chaining Pattern
Wrap-up of the Module
Writing Data Processing Functions with Lambdas in Java 8
Introduction to the Module
What Is a Functional Interface? The Predicate Example
How to Implement a Functional Interface with a Lambda Expression
How Does the Compiler Recognize the Type of a Lambda Expression?
A Lambda Is Still an Interface with Usable Methods
Functional Interface: The Complete and Exact Definition
How to Use the @FunctionalInterface Annotation
The Four Categories of the java.util.function Package
First Category: The Consumers
Second Category: The Supplier
Third Category: The Functions
Fourth Category: The Predicates
Functional Interfaces for Java Primitive Types
Introduction to the Live Coding Section: The Predicate Example
Writing and Using a First, Simple Predicate Lambda Expression
Chaining Predicates with the AND Boolean Operation
Adding a and() Method on the Predicate Functional Interface
Implementing the and() Default method on the Predicate Interface
Adding a or() Default Method on the Predicate Interface
Creating Predicates with a Static Call on a Functional Interface
Making the isEqualsTo() Method Generic of the Predicate Interface
Live Coding Wrap-up
Module Wrap-up, Presentation of the Next Module
Data Processing Using Lambdas and the Collection Framework
Introduction to the Module
First Methods on Iterable, Collection and List
First Method on Map: forEach()
More Methods on Map: getOrDefault()
More Methods on Map: putIfAbsent()
More Methods on Map: replace() and replaceAll()
New Pattern on Map: remove()
New Patterns on Map: The compute() method
New Patterns on Map: computeIfAbsent(), computeIfPresent()
Building Maps of Maps and Maps of Lists with computeIfAbsent()
New Pattern on Map: The merge() method
Using merge() to Merge Two Maps Together
Live Coding Session Introduction, forEach() in Action
Methods removeIf(), replaceAll(), sort() in Action
Setting Default Value for map.get(): getOrDefault()
Adding Default key / value pairs: putIfAbsent, computeIfAbsent
Merging Maps with the map.merge() Method
Merging Maps: Analysis of the Result
Live Coding and Module Wrap-up
Implementing Map Filter Reduce Using Lambdas and Collections
Introduction to the Module
Computing the Average of People Older than 20, Taken From a List
Map / filter / reduce: A Precise Explaination
A First Implementation, in the JDK7 Way
A Closer Look at the Reduction Step: How Does it Work?
Parallel Implementation of the Reduction Step
First Caveat: Non-associative Reduction Operations
How to Detect Non-associative Reduction Operations
Second Caveat: Reduction of a Singleton
Second Caveat: Reduction of a Set with Several Elements
Second Caveat: Reduction That Do Not Have Identity Element
Live Coding: Setting up the Environment
Simulating Parallel Computation of a Non-associative Reduction
Non-associative Reduction: The Average Reduction Operation
Computing a Max: Reduction with No Identity Element
Live Coding Wrap-up
Using Optionals to Handle Reductions with No Identity Element
Wrap-up on the Reduction Step
Implementation in the JDK7 Way: a Closer Look
CPU Load and Memory Footprint Evaluations
Example of an allMatch Reduction Operation: Lost Optimizations
Why Is this First, Naive Implementation Should be Avoided
A First Glimpse at the Stream API
Module Wrap-up
The Stream API, How to Build Streams, First Patterns
Introduction to the Module
A First Technical Definition of the Stream Interface
First Definitions of the Concept of Stream
The Notion of Unbounded Stream
How to Build Streams: Empty Streams, Singletons, varargs
How to Build Streams: The Generator and Iterator Pattern
How to Build Streams on Strings, Regular Expressions, and Text Files
The Stream.Builder Pattern
The map / filter / reduce Pattern Written with a Stream
A Second Example of the ap / filter / reduce Pattern on Streams
Intermediate and Terminal Calls on Streams: peek() and forEach()
How to Tell an Intermediate Call from a Terminal Call
Selecting Ranges of Data in Streams: skip() and limit()
Simple Reductions: Matchers, Short-circuiting Reductions
Finder Reductions, Use of Optionals
Example of Finder Reductions: findFirst(), findAny()
General Reductions: Use of the reduce() Method
Live Coding Session Introduction
Example of a First Simple Stream Built on a vararg
Building a Stream: The Generate Pattern, Use of Limit()
Building a Stream: The Iterate Pattern
Bulding Streams of Random Numbers Using Random.ints()
Live Coding Session Wrap-up
Module and Course Wrap-up
Файлы примеров: присутствуют
Формат видео: MP4
Видео: AVC, 1024x768, 4:3, 15fps, 103kbps
Аудио: AAC, 44.1kHz, 128kbps, stereo


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