Book Image

Distributed Computing with Go

By : V.N. Nikhil Anurag
Book Image

Distributed Computing with Go

By: V.N. Nikhil Anurag

Overview of this book

Distributed Computing with Go gives developers with a good idea how basic Go development works the tools to fulfill the true potential of Golang development in a world of concurrent web and cloud applications. Nikhil starts out by setting up a professional Go development environment. Then you’ll learn the basic concepts and practices of Golang concurrent and parallel development. You’ll find out in the new few chapters how to balance resources and data with REST and standard web approaches while keeping concurrency in mind. Most Go applications these days will run in a data center or on the cloud, which is a condition upon which the next chapter depends. There, you’ll expand your skills considerably by writing a distributed document indexing system during the next two chapters. This system has to balance a large corpus of documents with considerable analytical demands. Another use case is the way in which a web application written in Go can be consciously redesigned to take distributed features into account. The chapter is rather interesting for Go developers who have to migrate existing Go applications to computationally and memory-intensive environments. The final chapter relates to the rather onerous task of testing parallel and distributed applications, something that is not usually taught in standard computer science curricula.
Table of Contents (11 chapters)

Design overview

Now that we have briefly described the application we want to build and the reason for building it, let's look at the list of features we want to implement as part of the search engine:

  • It should accept links to documents provided in the POST request and download them
  • It should process and index the downloaded documents
  • It should handle search queries and respond with a list of documents with snippets containing the search terms
  • The returned list of documents should be in the order of greater occurrence of search terms in the document

Though we listed four functionalities, we can club the application into two main components:

  • Goophr Concierge: This is the component responsible for indexing and returning the list of documents for search queries
  • Goophr Librarian: This is the component responsible for handling user interaction and interacting with the first...