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Mastering Concurrency Programming with Java 8

You're reading from   Mastering Concurrency Programming with Java 8 Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API

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Product type Paperback
Published in Feb 2016
Publisher Packt
ISBN-13 9781785886126
Length 430 pages
Edition 1st Edition
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Author (1):
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Javier Fernández González Javier Fernández González
Author Profile Icon Javier Fernández González
Javier Fernández González
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Toc

Table of Contents (13) Chapters Close

Preface 1. The First Step – Concurrency Design Principles FREE CHAPTER 2. Managing Lots of Threads – Executors 3. Getting the Maximum from Executors 4. Getting Data from the Tasks – The Callable and Future Interfaces 5. Running Tasks Divided into Phases – The Phaser Class 6. Optimizing Divide and Conquer Solutions – The Fork/Join Framework 7. Processing Massive Datasets with Parallel Streams – The Map and Reduce Model 8. Processing Massive Datasets with Parallel Streams – The Map and Collect Model 9. Diving into Concurrent Data Structures and Synchronization Utilities 10. Integration of Fragments and Implementation of Alternatives 11. Testing and Monitoring Concurrent Applications Index

The second example – an information retrieval search tool


According to Wikipedia (https://en.wikipedia.org/wiki/Information_retrieval), information retrieval is:

"The activity obtaining information resources relevant to an information need from a collection of information resources."

Usually, the information resources are a collection of documents and the information need is a set of words, which summarizes our need. To make a fast search over the document collection, we use a data structure named inverted index. It stores all the words of the document collection, and for each word, a list of the documents that contains that word. In Chapter 4, Getting Data from the Tasks – The Callable and Future Interfaces, you constructed an inverted index of a document collection constructed with the Wikipedia pages with information about movies to construct a set of 100,673 documents. We have converted each Wikipedia page in a text file. This inverted index is stored in a text file where each line contains...

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