Book Image

Learning Node.js for .NET Developers

Book Image

Learning Node.js for .NET Developers

Overview of this book

Node.js is an open source, cross-platform runtime environment that allows you to use JavaScript to develop server-side web applications. This short guide will help you develop applications using JavaScript and Node.js, leverage your existing programming skills from .NET or Java, and make the most of these other platforms through understanding the Node.js programming model. You will learn how to build web applications and APIs in Node, discover packages in the Node.js ecosystem, test and deploy your Node.js code, and more. Finally, you will discover how to integrate Node.js and .NET code.

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Learning Node.js for .NET Developers
Jun, 2016 | 248 pages
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Table of Contents (21 chapters)
Learning Node.js for .NET Developers
Learning Node.js for .NET Developers
Credits
Credits
About the Author
About the Author
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Why Node.js?
Why Node.js?
What is Node.js?
Why JavaScript?
When to use Node.js
Summary
2
Getting Started with Node.js
Getting Started with Node.js
Installing and running Node.js
Choosing an editor
Using an application framework
Summary
3
A JavaScript Primer
A JavaScript Primer
Introducing JavaScript types
Functional object-oriented programming
Summary
4
Introducing Node.js Modules
Introducing Node.js Modules
Organizing your codebase
Creating modules in Node.js
Defining a directory-level module
Implementing an Express middleware module
Summary
5
Creating Dynamic Websites
Creating Dynamic Websites
Handling user-submitted data
Communicating via Ajax
Implementing other data operations
Summary
6
Testing Node.js Applications
Testing Node.js Applications
Writing a simple test in Node.js
Structuring the codebase for tests
Writing BDD-style tests with Mocha
Using Chai for assertions
Creating test doubles
Testing an Express application
Full-stack testing with PhantomJS
Summary
7
Setting up an Automated Build
Setting up an Automated Build
Setting up an integration server
Automating the build process with Gulp
Checking code style with ESLint
Gathering code coverage statistics
Running integration tests from Gulp
Summary
8
Mastering Asynchronicity
Mastering Asynchronicity
Using the callback pattern for asynchronous code
Writing cleaner asynchronous code using promises
Combining asynchronous programming patterns
Summary
9
Persisting Data
Persisting Data
Introducing MongoDB
Using MongoDB with Express
Introducing Redis
Building a user ranking system with Redis
A note on security
Summary
10
Creating Real-time Web Apps
Creating Real-time Web Apps
Understanding options for real-time communication
Introducing Socket.IO
Scaling real-time Node.js applications
Integrating Socket.IO with Express
Directing Socket.IO messages
Testing Socket.IO applications
Organizing Socket.IO applications
Summary
11
Deploying Node.js Applications
Deploying Node.js Applications
Working with Heroku
Deploying from Travis CI
Further resources
Summary
12
Authentication in Node.js
Authentication in Node.js
Introducing Passport
Using Express sessions
Implementing social login
Allowing users to log out
Adding other login providers
Summary
13
Creating JavaScript Packages
Creating JavaScript Packages
Writing universal modules
Writing npm packages
Publishing a package to npm
Using Node.js modules in the browser
Summary
14
Node.js and Beyond
Node.js and Beyond
Understanding Node.js versioning
Understanding ECMAScript versioning
Exploring ECMAScript 2015
Introducing ECMAScript 2016
Going beyond JavaScript
JavaScript and ASP.NET
Summary
Index
Index

Chapter 9. Persisting Data

Most applications need to persist some kind of data. In this chapter, we'll be looking at some approaches to data persistence for Node.js applications.

The default choice for persistence for a long time has been the traditional relational database. You may have used RDBMSs (relational database management systems) such as Microsoft SQL Server, Oracle, MySQL or PostgreSQL. These systems are often categorized as SQL databases since they all use SQL as their primary query language.

More recently, there has been a proliferation of so-called NoSQL databases. This umbrella term isn't particularly useful as a category. Some NoSQL databases have no more in common with each other than with traditional relational databases.

What's interesting is the range of databases available and the use cases they fulfil. Traditional RDBMSs are as powerful and flexible as ever and the right choice for many situations. In this chapter, we'll consider two other types of database, along with...

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