Table of Contents for
Node.js 8 the Right Way

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Node.js 8 the Right Way by Jim Wilson Published by Pragmatic Bookshelf, 2018
  1. Title Page
  2. Node.js 8 the Right Way
  3. Node.js 8 the Right Way
  4. Node.js 8 the Right Way
  5. Node.js 8 the Right Way
  6.  Acknowledgments
  7.  Preface
  8. Why Node.js the Right Way?
  9. What’s in This Book
  10. What This Book Is Not
  11. Code Examples and Conventions
  12. Online Resources
  13. Part I. Getting Up to Speed on Node.js 8
  14. 1. Getting Started
  15. Thinking Beyond the web
  16. Node.js’s Niche
  17. How Node.js Applications Work
  18. Aspects of Node.js Development
  19. Installing Node.js
  20. 2. Wrangling the File System
  21. Programming for the Node.js Event Loop
  22. Spawning a Child Process
  23. Capturing Data from an EventEmitter
  24. Reading and Writing Files Asynchronously
  25. The Two Phases of a Node.js Program
  26. Wrapping Up
  27. 3. Networking with Sockets
  28. Listening for Socket Connections
  29. Implementing a Messaging Protocol
  30. Creating Socket Client Connections
  31. Testing Network Application Functionality
  32. Extending Core Classes in Custom Modules
  33. Developing Unit Tests with Mocha
  34. Wrapping Up
  35. 4. Connecting Robust Microservices
  36. Installing ØMQ
  37. Publishing and Subscribing to Messages
  38. Responding to Requests
  39. Routing and Dealing Messages
  40. Clustering Node.js Processes
  41. Pushing and Pulling Messages
  42. Wrapping Up
  43. Node.js 8 the Right Way
  44. Part II. Working with Data
  45. 5. Transforming Data and Testing Continuously
  46. Procuring External Data
  47. Behavior-Driven Development with Mocha and Chai
  48. Extracting Data from XML with Cheerio
  49. Processing Data Files Sequentially
  50. Debugging Tests with Chrome DevTools
  51. Wrapping Up
  52. 6. Commanding Databases
  53. Introducing Elasticsearch
  54. Creating a Command-Line Program in Node.js with Commander
  55. Using request to Fetch JSON over HTTP
  56. Shaping JSON with jq
  57. Inserting Elasticsearch Documents in Bulk
  58. Implementing an Elasticsearch Query Command
  59. Wrapping Up
  60. Node.js 8 the Right Way
  61. Part III. Creating an Application from the Ground Up
  62. 7. Developing RESTful Web Services
  63. Advantages of Express
  64. Serving APIs with Express
  65. Writing Modular Express Services
  66. Keeping Services Running with nodemon
  67. Adding Search APIs
  68. Simplifying Code Flows with Promises
  69. Manipulating Documents RESTfully
  70. Emulating Synchronous Style with async and await
  71. Providing an Async Handler Function to Express
  72. Wrapping Up
  73. 8. Creating a Beautiful User Experience
  74. Getting Started with webpack
  75. Generating Your First webpack Bundle
  76. Sprucing Up Your UI with Bootstrap
  77. Bringing in Bootstrap JavaScript and jQuery
  78. Transpiling with TypeScript
  79. Templating HTML with Handlebars
  80. Implementing hashChange Navigation
  81. Listing Objects in a View
  82. Saving Data with a Form
  83. Wrapping Up
  84. 9. Fortifying Your Application
  85. Setting Up the Initial Project
  86. Managing User Sessions in Express
  87. Adding Authentication UI Elements
  88. Setting Up Passport
  89. Authenticating with Facebook, Twitter, and Google
  90. Composing an Express Router
  91. Bringing in the Book Bundle UI
  92. Serving in Production
  93. Wrapping Up
  94. Node.js 8 the Right Way
  95. 10. BONUS: Developing Flows with Node-RED
  96. Setting Up Node-RED
  97. Securing Node-RED
  98. Developing a Node-RED Flow
  99. Creating HTTP APIs with Node-RED
  100. Handling Errors in Node-RED Flows
  101. Wrapping Up
  102. A1. Setting Up Angular
  103. A2. Setting Up React
  104. Node.js 8 the Right Way

Implementing a Messaging Protocol

We’ve just explored how to create socket servers that listen for incoming connections in Node. So far, our example programs have sent plain-text messages that are meant to be read by a human. In this section we’ll design and implement a better protocol.

A protocol is a set of rules that defines how endpoints in a system communicate. Any time you develop a networked application in Node.js, you’re working with one or more protocols. Here we’ll create a protocol based on passing JSON messages over TCP.

JSON is incredibly prevalent in Node.js. We’ll use it extensively for data serialization and configuration throughout the book. It is significantly easier to program clients against than plain text, and it’s still human-readable.

We’ll implement client and server endpoints that use our new JSON-based protocol. This will give us opportunities to develop test cases and refactor our code into reusable modules.

Serializing Messages with JSON

Let’s develop the message-passing protocol that uses JSON to serialize messages. Each message is a JSON-serialized object, which is a hash of key-value pairs. Here’s an example JSON object with two key-value pairs:

 {​"key"​:​"value"​,​"anotherKey"​:​"anotherValue"​}

The net-watcher service we’ve been developing in this chapter sends two kinds of messages that we need to convert to JSON:

  • When the connection is first established, the client receives the string Now watching "target.txt" for changes....

  • Whenever the target file changes, the client receives a string like this: File changed: Fri Dec 18 2015 05:44:00 GMT-0500 (EST).

We’ll encode the first kind of message this way:

 {​"type"​:​"watching"​,​"file"​:​"target.txt"​}

The type field indicates that this is a watching message—the specified file is now being watched.

The second type of message is encoded this way:

 {​"type"​:​"changed"​,​"timestamp"​:1358175733785}

Here the type field announces that the target file has changed. The timestamp field contains an integer value representing the number of milliseconds since midnight, January 1, 1970. This happens to be an easy time format to work with in JavaScript. For example, you can get the current time in this format with Date.now.

Notice that there are no line breaks in our JSON messages. Although JSON is whitespace agnostic—it ignores whitespace outside of string values—our protocol will use newlines only to separate messages. We’ll refer to this protocol as line-delimited JSON (LDJ).

Switching to JSON Messages

Now that we’ve defined an improved, computer-accessible protocol, let’s modify the net-watcher service to use it. Then we’ll create client programs that receive and interpret these messages.

Our task is to use JSON.stringify to encode message objects and send them out through connection.write. JSON.stringify takes a JavaScript object, and returns a string containing a serialized representation of that object in JSON form.

Open your editor to the net-watcher.js program. Find the following line:

 connection.write(​`Now watching "​${filename}​" for changes...\n`​);

And replace it with this:

 connection.write(JSON.stringify({type: ​'watching'​, file: filename}) + ​'​​\​​n'​);

Next, find the call to connection.write inside the watcher:

 const​ watcher =
  fs.watch(filename, () => connection.write(​`File changed: ​${​new​ Date()}​\n`​));

And replace it with this:

 const​ watcher = fs.watch(filename, () => connection.write(
  JSON.stringify({type: ​'changed'​, timestamp: Date.now()}) + ​'​​\​​n'​));

Save this updated file as net-watcher-json-service.js. Run the new program as always, remembering to specify a target file:

 $ ​​node​​ ​​net-watcher-json-service.js​​ ​​target.txt
 Listening for subscribers...

Then connect using netcat from a second terminal:

 $ ​​nc​​ ​​localhost​​ ​​60300
 {"type":"watching","file":"target.txt"}

When you touch the target.txt file, you’ll see output like this from your client:

 {"type":"changed","timestamp":1450437616760}

Now we’re ready to write a client program that processes these messages.