COMPOSABLE FUTURES WITH AKKA 2.0 PDF

Composable Futures With Akka Featuring Java, Scala and Akka Code Examples This book explains how to write concurrent programs that can run in. Composable Futures With Akka is intended for ‘the rest of us’ – Java and Scala programmers who would like to quickly learn how design. Writing concurrent programs that can run in multiple threads and on multiple cores is crucial but daunting. Composable futures provide a convenient abstraction.

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Composable Futures with Akka 2. You should either be familiar with programming using Java generics or some Scala before reading this book.

Mike Slinn is a principal at Micronautics Research Corp- orationa contract software development firm that focuses on cutting-edge enterprise software technology. Similar programs were written in Java and Scala. Composable futures mean that operations on a future or a collection of futures can be chained together without blocking; for example, transformations such as map can be applied to a composable future. Other implementations of futures are limited.

Mike has written three books and over fifty articles on software technology. The futures implementation bundled in the free, open source Akka stack dith written in Compozable. Dozens of complete working code examples are provided with the book, at least one per method in each language. The Akka and Twitter implementations are much more advanced. Akka futures integrate easily 22.0 existing software projects. Special considerations for programming with futures are discussed.

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The code is provided as a git repository, which you can update any time. What are composable futures?

Composable Futures with Akka and Scala

He has been recognized as a software expert in US federal court. The Promises chapter in the book includes a case study that shows how easy it is to integrate Akka futures into existing code.

In general, futures are preferred for one-off, uncoordinated, stateless jobs, which can range in duration from a web request of 5ms to data processing jobs of hours or more. Java and Scala can both use Akka Futures The futures implementation bundled in the free, open source Akka stack is written in Scala.

Mike is a hands-on architect who enjoys programming and mentoring. This book explains how to write concurrent programs that can run in multiple threads and on multiple cores.

Both blocking and non-blocking operations can be performed on Akka futures. If you know Java and are learning Scala, comparing the two programs will be instructive. Actors are generally preferred for coordinated or stateful activities.

The value of an Akka Future will normally become available sometime after creation, or it may incorporate an exception raised during computation. Akka futures has a Java API, and it provides Java programs with almost every bit of the same futures capability available to Scala programs. Fugures futures implementation provided by Akka 1.

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Java programmers do not require prior experience with Scala; Scala programmers do not need to know Java. He is often engaged to turn around projects and can provide interim technical leadership for companies in transition.

The book provides complete reference information about the classes and methods for working with Akka futures.

Each method of the Akka futures implementation is covered in detail; first introduced with short explanation, then followed by the Java signature and the Scala signature.

An overview of futures is provided through code examples.

A chapter is dedicated to java. Further information for programming in each language is provided, usually with code snippets.

Composable Futures with Akka 2.0

Practical code examples are used to teach concepts, backed up by ‘just enough’ theory. Akka futures are being subsumed into Scala 2.

About The Author Mike Slinn is a principal at Micronautics Research Corp- orationa contract software development firm that focuses on cutting-edge enterprise software technology. Akka futures is integrated with Akka actors for distributed computing. Multicore concurrency requires multi-threaded ajka, but that is hard to do properly. You can also use the SBT console to try code snippets interactively.