By Richard Warburton
If you’re a developer with center Java SE abilities, this hands-on ebook takes you thru the language alterations in Java eight caused by way of the addition of lambda expressions. You’ll examine via code examples, routines, and fluid causes how those nameless capabilities can help you write easy, fresh, library-level code that solves enterprise problems.
Lambda expressions are a reasonably easy switch to Java, and the 1st a part of the e-book indicates you ways to take advantage of them thoroughly. Later chapters exhibit you ways lambda features assist you increase functionality with parallelism, write easier concurrent code, and version your area extra competently, together with construction greater DSLs.
Use workouts in every one bankruptcy that will help you grasp lambda expressions in Java eight quickly
discover streams, complicated collections, and different Java eight library improvements
Leverage multicore CPUs and increase functionality with information parallelism
Use suggestions to “lambdify” your current codebase or library code
study sensible options for lambda expression unit checking out and debugging
enforce sturdy ideas of object-oriented programming with lambdas
Write concurrent purposes that successfully practice message passing and non-blocking I/O
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Extra info for Java 8 Lambdas
We use filter to trim down the artists to include only bands. 3. We use map to turn the band into its nationality. 4. We use collect(toList()) to put together a list of these nationalities. collect(toSet()); This example shows the idiom of chaining operations a bit more clearly. The calls to musicians, filter, and map all return Stream objects, so they are lazy, while the col lect method is eager. The map method is another function that takes just a lambda and whose purpose is to apply the function to every element in the Stream, returning a new Stream.
Good! Suppose we’ve got a list of strings and we want to find all the strings that start with a digit. So, "1abc" would be accepted and "abc" wouldn’t. We might write some code that loops over a list and uses an if statement to see what the first character is, something like the code in Example 3-10. Example 3-10. add(value); } } assertEquals(asList("1abc"), beginningWithNumbers); I’m sure you’ve written some code that looks like this: it’s called the filter pattern. The central idea of filter is to retain some elements of the Stream, while throwing others out.
Example 3-21. add(name)); }); return trackNames; } Now we’ve replaced our inner loop with something a bit more streamy, but we still have this pyramid of doom in our code. We don’t really want to have nested stream operations; we want one simple and clean sequence of method calls. What we really want to do is find a way of transforming our album into a stream of tracks. We know that whenever we want to transform or replace code, the operation to use is map. This is the more complex case of map, flatMap, for which the output value is also a Stream and we want them merged together.