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Mastering Lambdas: Java Programming in a Multicore World (Oracle Press), by Maurice Naftalin
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The Definitive Guide to Lambda Expressions
Mastering Lambdas: Java Programming in a Multicore World describes how the lambda-related features of Java SE 8 will enable Java to meet the challenges of next-generation parallel hardware architectures. The book explains how to write lambdas, and how to use them in streams and in collection processing, providing code examples throughout. You'll learn how to use lambda expressions to take full advantage of performance improvements provided by today's multicore hardware. This Oracle Press book covers:
- Why lambdas were needed, and how they will change Java programming
- Syntax of lambda expressions
- The basic operation of streams and pipelines
- Using collectors and reduction to end pipelines
- Creating streams
- Spliterators, the fork/join framework, and exceptions
- Examining stream performance with microbenchmarking
- API evolution using default methods
- Sales Rank: #359104 in Books
- Brand: Naftalin, Maurice
- Published on: 2014-10-13
- Released on: 2014-10-13
- Original language: English
- Number of items: 1
- Dimensions: 9.13" h x .47" w x 7.38" l, .0 pounds
- Binding: Paperback
- 208 pages
About the Author
Maurice Naftalin has over 30 years' experience in IT – as developer, designer, architect, manager, teacher, and author. He is a certified Java Programmer and has worked in every release of Java to date. Naftalin’s experience in Java and business give him a unique perspective on the fundamental change that comes with introducing Lambda expressions in Java. He is a frequent presenter at conferences worldwide, including the annual JavaOne.
Most helpful customer reviews
8 of 8 people found the following review helpful.
Pithily Writing - a joy to read!
By H. Kabutz
Short and sweet book. Naftalin has gone to a lot of trouble to write succinctly and pithily (a word that I learned from his book). It is a pleasure to read. No waffling, just great example and excellent prose. I re-read some paragraphs several times, as they were so beautifully constructed. For example:
"A 40-year trend of exponentially increasing processor speed had been halted by inescapable physical facts: signal leakage, inadequate heat dissipation, and the hard truth that, even at the speed of light, data cannot cross a chip quickly enough for further processor speed increases."
Really enjoying this technical book, that obviously took a huge effort to produce.
5 of 5 people found the following review helpful.
Excellent book that teaches you how to think as a functional programmer
By John Kostaras
Maurice Naftalin is the author of another famous book “Java Generics and Collections” and maintains the lambda FAQ from which he has gained a lot of experience about the new λ-API (JSR-335). The result of this long experience has been this new book on Java 8 lambdas.
The book tackles difficult topics and doesn't provide simple examples to just demonstrate the API usage. The author tries to introduce the reader on the new way of thinking in a functional way by using his experience in solving complex problems. E.g. he writes an implementation of the UNIX grep command using lambdas and explains how to do it and what errors one has to tackle to achieve their target.
Five reasons why you should buy this book:
- It is small and concise; personally, I have more chances to finish a book of 175 pages (and I did) than a book of 500 or 1000 pages.
- The author tries to get you into thinking as a functional programmer; he doesn’t offer you the solution in your plate.
- It is well structured and easy to find what you want
- It is a book that you will return to again and again
- It tackles performance issues in a multi-core world and provides useful advice on performance pitfalls and anti-patterns.
"Expensive perfumes come in small bottles" they say. Small and to the point, all in all a very useful book on the subject, one that you ‘ll revisit again and again while programming with the new lambdas and stream APIs in Java 8. Maurice’s new book should be under the pillow of every Java developer that wants to learn about λ and streams in Java 8.
3 of 3 people found the following review helpful.
Very well written, in the same style as "Java generics and collections"
By laurent claisse
The complete (more readable) review is here:
http://blog.zenika.com/index.php?post/2015/02/05/Book-review-Mastering-lambdas
------------------------------
Mastering lambdas is the second book I've read about lambda. The first one, that i'll use for comparison, was "Java 8 in action" (which is about Java 8 in general, not only lambdas).
This one is written in the same precise style as the very good (and relatively little known) "Java generics and collections", of which Naftalin is a co-author. Some of the content (exception management, performance considerations,...) can't be found anywhere else. On the other hand J8IA is not as well written, but it covers one important technique that "Mastering lambdas" doesn't (using CompletableFutures with Streams).
Overall it's a great book. Also because it's so concise, it's not too thick and can be read in a few days.
This review is based on the printed version, not the Kindle edition (that i didn't try).
------------------------------
CHAPTER 1: Taking Java to the Next Level
The book begins with the now usual explanation of how in a multi-core context, going from external to internal iteration lets the java runtime utilize new "degrees of freedom", particularly to enable parallelism.
A structured explanation of the main programming model changes
From anonymous inner classes to lambdas: All that can logically be inferred by the compiler is introduced step by step
From collections to streams: The old model of chaining transformations by creating a new Collection at every step is bad from performance (creating a lot of intermediary objects), and also pollutes the code with boilerplate. The solution is to use unix-like pipes and filters, which are lazy and compose into pipelines better than classes.
From sequential to parallel: Parallelism is explicit, but unobstrusive, using just parallelStream().
Lazyness: The intermediate operations don't pull any data from the pipeline's source. Work is only done when it can't be delayed anymore, which is at the pipeline's terminal operation.
------------------------------
CHAPTER 2:The Basics of Java Lambda Expressions
The grammar of lambdas
This chapter goes in more detail into the grammar of lambdas. The compiler's inference engine is well explained, which makes lambdas feel less magical than in the usual presentations. The part on the different kinds of method handles is much better than what I read so far (i didn't get the difference between instance bound and instance unbound references before).
From basic stuff to more advanced topics
It goes progressively:
Expression lambdas and statement lambdas
Differences with anonymous classes (ex: doesn't have to be a new instance every time)
Syntax, scope, and capture rules (unlike Javascript the value, and the not the variable, is captured)
java.util.function: the starter kit of functional interfaces
Type inference rules
Method references kinds: static, instance bound, instance unbound (for those, invocation target is the first lambda argument)
Detailed rules: checked exceptions handling, overload resolution
------------------------------
CHAPTER 3:Introduction to Streams and Pipelines
Goals of pipelining operations
A pipeline fuses multiple logical operations into one single pass on the data, like with unix pipes. Pipelines are composed of:
a source
intermediate operations (composed from the API's Stream->Stream methods)
a terminal operation
The most common of each are listed in this chapter.
An important point is that composing stream operations into a pipeline is only a logical transformation, which doesn't pull any data from the pipeline's source yet.
Another advantage of streams related to lazy processing is short-circuiting: for some operations, if a result is found, the rest can be skipped (ex: if we want to check that a property is true for all elements, we can skip the rest of the stream if we find one element for which it's false).
One unclear point in this chapter
"As we saw in §3.1, calling the terminal operation of a pipeline results in the execution of a fusion of its intermediate operations. As a result, the usual debugging technique of stepping through operations is not available for streams..." For sure, I can place a breakpoint in a lambda (tested with Eclipse and IntelliJ):
Stream.of ("toto", "tata", "titi").map (s -> {
System.out.println ("STEP 1 Stream: " + s); //i can stop at this breakpoint
return s;
}).map (s -> {
System.out.println ("STEP 2 Stream: " + s); //i can stop at this breakpoint
return s;
}).forEach (s -> {
System.out.println ("STEP 3 Stream: " + s); //i can stop at this breakpoint
})
;
That's one advantage over .NET lambdas, where I can't stop at the same breakpoints (tested with C# 4.5 in Visual Studio). I think the author means that there is no breakpoint corresponding to completion of a single filter of the pipeline, because execution order is not the same as with external iteration. The previous code displays this:
STEP 1 Stream: toto
STEP 2 Stream: toto
STEP 3 Stream: toto
STEP 1 Stream: tata
STEP 2 Stream: tata
STEP 3 Stream: tata
STEP 1 Stream: titi
STEP 2 Stream: titi
STEP 3 Stream: titi
Whereas the corresponding external iteration approach:
List input = Arrays.asList ("toto", "tata", "titi");
List step1 = new ArrayList (input);
for(String s : step1) System.out.println ("STEP 1 Iterator: " + s);
List step2 = new ArrayList (step1);
for(String s : step1) System.out.println ("STEP 2 Iterator: " + s);
List step3 = new ArrayList (step2);
for(String s : step1) System.out.println ("STEP 3 Iterator: " + s);
Displays that:
STEP 1 Iterator: toto
STEP 1 Iterator: tata
STEP 1 Iterator: titi
STEP 2 Iterator: toto
STEP 2 Iterator: tata
STEP 2 Iterator: titi
STEP 3 Iterator: toto
STEP 3 Iterator: tata
STEP 3 Iterator: titi
So pipeline execution one element at a time prevents us from mentally slicing execution into individual steps during debug, but it is still possible to follow the steps of processing a single element through the pipeline. This could have been formulated more clearly, unless i'm missing the point (there is a limitation though, you can't see the lambda's outside variables ).
Pipelines and non-interference
Finally, the notion of non-interference is introduced: for a pipeline to be parallel-ready, it must have no side-effects, and especially not modify its source.
The next 2 chapters explore the pipeline's "extremities": its end in chapter 4 about collection and reduction, and its beginning in chapter 5 about Stream sources.
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