Book Image

Delphi High Performance

By : Primož Gabrijelčič
Book Image

Delphi High Performance

By: Primož Gabrijelčič

Overview of this book

Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for Microsoft Windows, Apple Mac OS X, Google Android, iOS, and now Linux with RAD Studio 10.2. This book will be your guide to build efficient high performance applications with Delphi. The book begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. It will teach you how to improve your algorithms before taking you through parallel programming. You’ll then explore various tools to build highly concurrent applications. After that, you’ll delve into improving the performance of your code and master cross-platform RTL improvements. Finally, we’ll go through memory management with Delphi and you’ll see how to leverage several external libraries to write better performing programs. By the end of the book, you’ll have the knowledge to create high performance applications with Delphi.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Future


A big category of operations that we would like to execute in a background thread can be summarized with the words "do something and return a result". Such operations are represented by a pattern called Future.

A Future always wraps some function. In Delphi's Parallel Programming Library, a Future is represented by an IFuture<T> interface, where T is the data type returned from the function. This interface is created by calling the TTask.Future<T> function. IFuture<T> is derived from ITask, so it supports all ITask methods and properties, such as Status, Cancel, Wait, and so on.

The ParallelFuture demo shows two ways of using an IFuture<T>. In the first scenario, the code creates a Future, does some other work, and then asks the Future about the result of the calculation. If the background calculation is not yet finished, the code waits until the result is ready. That could block the user interface, so this approach should only be used if you know that the Future...