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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Killing forked threads

When we create a new thread, we can keep track of its corresponding thread ID to kill it later manually.

In this recipe, we will be creating a command-line interface for forking new processes to download a huge file. A download will be initiated with the d command followed by a number. So, running d 1 will launch a thread to download item #1.

We will learn how to kill threads while they are still running. Our command to kill threads will look like k 1 in order to kill the downloaded item #1.

How to do it…

In a new file, which we call Main.hs, insert the following code:

  1. Import the required packages as follows:
    import Control.Concurrent
    import qualified Data.Map as M
  2. Let main call the helper download function:
    main = download (M.empty :: M.Map Int [ThreadId])
  3. Define a function to take the user queries and appropriately respond as follows:
    download m = do
      input <- (getLine >>= return . words)
      respond m input >>= download
  4. Respond to a download request:
    respond...
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