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Author: by Raoul-Gabriel Urma, Mario Fusco, Alan Mycroft

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【One-Line Pitch】 A practical, example-driven guide to Java 8's biggest language shift—lambdas, streams, and functional-style thinking—written for working Java developers who want to write clearer, more declarative code without abandoning the object-oriented world they already know. 【Book Arc】 - **Opening (~0%–10%)**: Frames the core problem—Java's verbosity and the need to pass behavior, not just values—and previews lambdas, streams, and behavior parameterization as the three pillars of the Java 8 change. - **Early (~10%–32%)**: Builds the foundation: behavior parameterization, lambda syntax, functional interfaces, method references, and the type-checking/target-typing rules that make lambdas usable. - **Middle (~32%–48%)**: Moves into the Streams API—filter, map, flatMap, reduce, and the collector ecosystem (groupingBy, partitioningBy, custom collectors)—showing how to express data-processing pipelines declaratively. - **Late (~48%–70%)**: Extends into parallelism (parallel streams, fork/join), the Optional class for null handling, and the new Date/Time API, connecting functional style to real engineering concerns. - **Ending (~70%–100%)**: Broadens to functional programming techniques (recursion, persistent data structures, lazy evaluation, pattern matching), a Java-vs-Scala comparison, and a look at where Java is heading. 【Key Takeaways】 - **Behavior parameterization is the conceptual unlock** (Early): passing code to methods—via lambdas and method references—replaces copy-paste filtering logic and makes code adapt to changing requirements. - **Lambdas only live in the context of a functional interface** (Early): understanding target typing and the abstract-method signature is what makes lambda syntax click. - **Streams express *what*, not *how*** (Middle): chaining filter/sorted/map/collect produces readable pipelines and lets the API decide on threading. - **Collectors are advanced reductions** (Middle): groupingBy, partitioningBy, and custom Collector implementations turn complex aggregation into composable building blocks. - **Parallelism becomes nearly free** (Late): parallelStream can exploit multiple cores transparently, though the excerpts note performance details are covered in the dedicated parallelism chapter. - **Optional addresses null handling** (Late): introduced as a functional-style tool for safer absence handling, revisited alongside flatMap. - **Functional techniques extend beyond the syntax** (Ending): recursion vs. iteration, persistent data structures, lazy evaluation, and pattern matching show the deeper FP mindset. - **Java 8 sits between OOP and FP** (Ending): the Scala comparison and "where next for Java" chapter position Java 8 as an evolving hybrid language. 【Reading Tips】 - Deep-read the early lambda/functional-interface chapters—everything later depends on target typing and behavior parameterization. - Skim the API-listing sections (stream creation, collector factory tables) on first pass; return to them as reference while coding. - Treat the quizzes and listings as active exercises—they reinforce map/flatMap/reduce distinctions better than prose alone. - The ending FP-techniques chapters are conceptual, not daily-use; read them for mindset, not memorization. - Keep the Java-vs-Scala chapter optional unless you care about language design. 【Coverage Limits】 The excerpts are heavily front-loaded toward lambdas, streams, and collectors; parallelism internals, the Date/Time API, and the later functional-programming chapters are only partially represented, so this guide's late-book coverage is thinner than the early material.
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Excerpt 2
ttempt, while at the same time it’s easy to read and to use! You can now create different ApplePredicate objects and pass them to the filterApples method. Fr...
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Excerpt 3
a lambda expression, without having to copy and paste code. You chain together several building-block operations to express a complicated data processing pip...
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Excerpt 4
ther typical benefit of a well-designed functional API: its higher degree of composability and reusability. Collectors are extremely useful because they prov...
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Excerpt 5
, n).forEach(accumulator::add); return accumulator.total; } public class Accumulator { public long total = 0; public void add(long value) { total += value; }...
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Excerpt 6
bonus on their account or just sending them less paperwork). You can write the following abstract class to represent the online banking application: abstract...
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Excerpt 7
ment of a stream, which would result in a stream of streams. But flatMap has the effect of replacing each generated stream by the contents of that stream. In...
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Excerpt 8
that shop: public List<String> findPrices(String product); Your first idea will probably be to use the Stream features you learned in chapters 4, 5, and 6. Y...
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ISBN: 1617291994
Publish Year: 2014
Language: English
Pages: 424
File Format: PDF
File Size: 9.3 MB
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