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Mastering Node.js

You're reading from   Mastering Node.js Expert techniques for building fast servers and scalable, real-time network applications with minimal effort

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781782166320
Length 346 pages
Edition 1st Edition
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Author (1):
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Sandro Pasquali Sandro Pasquali
Author Profile Icon Sandro Pasquali
Sandro Pasquali
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Table of Contents (14) Chapters Close

Preface 1. Understanding the Node Environment 2. Understanding Asynchronous Event-Driven Programming FREE CHAPTER 3. Streaming Data Across Nodes and Clients 4. Using Node to Access the Filesystem 5. Managing Many Simultaneous Client Connections 6. Creating Real-time Applications 7. Utilizing Multiple Processes 8. Scaling Your Application 9. Testing your Application A. Organizing Your Work B. Introducing the Path Framework C. Creating your own C++ Add-ons Index

Parsing a file using multiple processes


One of the tasks many developers will take on is the building of a logfile processor. A logfile can be very large and many megabytes long. Any single program working on a very large file can easily run into memory problems or simply run much too slowly. It makes sense to process a large file in pieces. We're going to build a simple log processor that breaks up a big file into pieces and assigns one to each of several child workers, running them in parallel.

The entire code for this example can be found in the logproc folder of the code bundle. We will focus on the main routines:

  • Determining the number of lines in the logfile

  • Breaking those up into equal chunks

  • Creating one child for each chunk and passing it parse instructions

  • Assembling and displaying the results

To get the word count of our file, we use the wc command with child.exec as shown in the following code:

child.exec("wc -l " + filename, function(e, fL) {
  fileLength = parseInt(fL.replace(filename...
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