Book Image

RESTful Web API Design with Node.js - Second Edition

By : Valentin Bojinov
Book Image

RESTful Web API Design with Node.js - Second Edition

By: Valentin Bojinov

Overview of this book

In this era of cloud computing, every data provisioning solution is built in a scalable and fail-safe way. Thus, when building RESTful services, the right choice for the underlying platform is vital. Node.js, with its asynchronous, event-driven architecture, is exactly the right choice to build RESTful APIs. This book will help you enrich your development skills to create scalable, server-side, RESTful applications based on the Node.js platform. Starting with the fundamentals of REST, you will understand why RESTful web services are better data provisioning solution than other technologies. You will start setting up a development environment by installing Node.js, Express.js, and other modules. Next, you will write a simple HTTP request handler and create and test Node.js modules using automated tests and mock objects. You will then have to choose the most appropriate data storage type, having options between a key/value or document data store, and also you will implement automated tests for it. This module will evolve chapter by chapter until it turns into a full-fledged and secure Restful service.
Table of Contents (12 chapters)
RESTful Web API Design with Node.js - Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Key/value store - LevelDB


The first data store we will look at is LevelDB. It is an open-source implementation developed by Google and written in C++. It is supported by a wide range of platforms, including Node.js. LevelDB is a key/value store; both the key and value are represented as binary data, so their content can vary from simple strings to binary representations of serialized objects in any format, such as JSON or XML. As it is a key/value data store, working with it is similar to working with an associative array—a key identifies an object uniquely within the store. Furthermore, the keys are stored as sorted for better performance. But what makes LevelDB perform better than an arbitrary file storage implementation?

Well, it uses a "log-structured merge" topology, which stores all write operations in an in-memory log, transferred (flushed) regularly to a permanent storage called Sorted String Table (SST) files. Read operations first attempt to retrieve entries from a cache containing...