Book Image

Learn Data Structures and Algorithms with Golang

By : Bhagvan Kommadi
Book Image

Learn Data Structures and Algorithms with Golang

By: Bhagvan Kommadi

Overview of this book

Golang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems. By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer.
Table of Contents (16 chapters)
Free Chapter
Section 1: Introduction to Data Structures and Algorithms and the Go Language
Section 2: Basic Data Structures and Algorithms using Go
Section 3: Advanced Data Structures and Algorithms using Go

Cache management

Cache management consists of managing static, dynamic, and variable information:

  • Static information never changes
  • Dynamic information changes frequently
  • Variable information changes less frequently than dynamic information

The object cache is stored in various data structures, such as maps and trees. Maps have a key as an identifier and a value, which is an object.

Cache objects can be related to memory, disks, pools, and streams. Caches have attributes related to time to live, group, and region. A region consists of a collection of mapped key-values. Regions can be independent of other regions. Cache configuration consists of defaults, regions, and auxiliaries.

A typical cache manager has the following features:

  • Memory management
  • Thread pool controls
  • Grouping of elements
  • Configurable runtime parameters
  • Region data separation and configuration
  • Remote synchronization...