Book Image

Mastering Delphi Programming: A Complete Reference Guide

By : Primož Gabrijelčič
Book Image

Mastering Delphi Programming: A Complete Reference Guide

By: Primož Gabrijelčič

Overview of this book

Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for most operating systems, including Microsoft Windows, iOS, and now Linux with RAD Studio 10.2. If you know how to use the features of Delphi, you can easily create scalable applications in no time. This Learning Path begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. You'll brush up on tricks, techniques, and best practices to solve common design and architectural challenges. Then, you'll see how to leverage external libraries to write better-performing programs. You'll also learn about the eight most important patterns that'll enable you to develop and improve the interface between items and harmonize shared memories within threads. As you progress, you'll also delve into improving the performance of your code and mastering cross-platform RTL improvements. By the end of this Learning Path, you'll be able to address common design problems and feel confident while building scalable projects. This Learning Path includes content from the following Packt products: Delphi High Performance by Primož Gabrijel?i? Hands-On Design Patterns with Delphi by Primož Gabrijel?i?
Table of Contents (19 chapters)

Fine-tuning SlowCode

We are near the end of the chapter. Let's step back a little and take a breath.

This chapter is packed with information, but if I would have to pick the most important lesson, it would be: don't enlarge strings (arrays, lists) element by element. If you know how much space some data will take, allocate the space at the beginning.

As all recommendations go, this too must be taken with a grain of salt. Most of the time such optimizations will not matter. You should always have the following checklist in mind:

  1. Measure. Find where the problem actually is.
  2. See if you can improve the algorithm. This will give the best results.
  3. Fine-tune the code.

In the previous chapter, we have optimized the heart out of our old friend, SlowCode. Just to remind you, the latest version SlowCode_Sieve_v2_opt processes 10 million elements in a mere 529 ms. Still, there...