By Derek Wyatt, Roland, Dr. Kuhn
Writing really concurrent software program at the Java digital desktop simply bought plenty more uncomplicated. The Akka Toolkit takes the edge out of coding for a number of cores, a number of processors, or even a number of machines. Akka Concurrency will express you what it potential to layout and write software program within the paradigm of Akka. you are going to tips on how to take into consideration your software program in new and interesting ways in which will let you convey your designs clearly, permitting you to target the enterprise of your software program greater than at the concurrency of it. This ebook alternatives up the place the Akka documentation leaves off, exploring the how and the why of Akka, in a manner that might empower you to develop your functions to new degrees of scalability, responsiveness, and function.
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Extra info for Akka Concurrency
Here’s why. • To append to a list, you need to modify the last element, but you can’t because it’s immutable. • So, you make a copy of that last element and modify the copy. • But now your newly copied element has nobody pointing to it. You need to get its old previous element to point to it, but you can’t because it’s immutable. 3 Chapter 2 · Concurrency and Parallelism 51 • You need to create a new copy of the previous element in order to point to the new element. • And so on, all the way back to the head of the list.
We just need to be able to deal with life as it comes and whatever it may impact in our application. For ease of language, we’ll assume that when we talk about concurrency, we also include parallelism. However, when we say parallelism, we are talking about parallelism plain and simple and do not include concurrency. Akka has solid solutions for both parallelism and concurrency. 2 A critical look at shared-state concurrency We’ve already said that shared-state concurrency can be the less-than-great solution when it comes to writing concurrent software.
The longer answer is that you could be clever, make the User immutable, and provide a protected reference to it instead. 1 · Shared-state concurrency requires lock protection. Download from Wow! com> chronize that reference, so when you change the reference to a new, altered User, everyone gets updated with the new reference atomically. But that’s not what we mean when we talk about using immutable data structures. It’s this minor confusion that’s concerning us at the moment. Coding with immutable data structures isn’t just about swapping out the mutable ones in your code for immutable ones and then grabbing a beer.
Akka Concurrency by Derek Wyatt, Roland, Dr. Kuhn