Book Image

Node Cookbook

By : David Mark Clements
Book Image

Node Cookbook

By: David Mark Clements

Overview of this book

The principles of asynchronous event-driven programming are perfect for today's web, where efficient real-time applications and scalability are at the forefront. Server-side JavaScript has been here since the 90's but Node got it right. With a thriving community and interest from Internet giants, it could be the PHP of tomorrow. "Node Cookbook" shows you how to transfer your JavaScript skills to server side programming. With simple examples and supporting code, "Node Cookbook" talks you through various server side scenarios often saving you time, effort, and trouble by demonstrating best practices and showing you how to avoid security faux pas. Beginning with making your own web server, the practical recipes in this cookbook are designed to smoothly progress you to making full web applications, command line applications, and Node modules. Node Cookbook takes you through interfacing with various database backends such as MySQL, MongoDB and Redis, working with web sockets, and interfacing with network protocols, such as SMTP. Additionally, there are recipes on correctly performing heavy computations, security implementations, writing, your own Node modules and different ways to take your apps live.
Table of Contents (16 chapters)
Node Cookbook
About the Author
About the Reviewers

Writing to a CSV file

A flat file structure is one of the most elementary database models. Columns can either be fixed length, or use delimiters. The Comma Separated Values (CSV) convention conforms to the idea of delimited flat file structure databases. While it's called CSV, the term CSV is also applied as a broad blanket term for any basic delimited structure consisting of one record per line (for example, tab-separated values).

We could follow a brittle approach for constructing CSV structures, simply by using a multidimensional array and the join method:

var data = [['a','b','c','d','e','f','g'], ['h','i','j','k','l','m','n']];
var csv = data.join("\r\n"); /* renders: a,b,c,d,e,f,g
h,i,j,k,l,m,n */

However, the limitations of this technique quickly become apparent. What if one of our fields contains a comma? Now one field becomes two, thus corrupting our data. Furthermore, we are limited to just using commas as delimiters.

In this recipe we will use the third-party ya-csv module to store...