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Clojure Data Structures and Algorithms Cookbook

You're reading from   Clojure Data Structures and Algorithms Cookbook 25 recipes to deeply understand and implement advanced algorithms in Clojure

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Product type Paperback
Published in Aug 2015
Publisher
ISBN-13 9781785281457
Length 216 pages
Edition 1st Edition
Languages
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Author (1):
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Rafik Naccache Rafik Naccache
Author Profile Icon Rafik Naccache
Rafik Naccache
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Toc

Table of Contents (9) Chapters Close

Preface 1. Revisiting Arrays FREE CHAPTER 2. Alternative Linked Lists 3. Walking Down Forests of Data 4. Making Decisions with the Help of Science 5. Programming with Logic 6. Sharing by Communicating 7. Transformations as First-class Citizens Index

Designing an efficient key-value store using B-trees

B-trees are commonly used in databases and filesystems, thanks to their inherent capability of manipulating large blocks of data. In contrast to a classical binary search tree, a B-tree is a tree data structure whose nodes can refer to more than two children nodes, and as such, traversing it permits us to access efficient block-oriented data. Besides, B-trees are self-balanced and designed in such a way that they grow very gracefully.

B-tree nodes are commonly called as keys. This is to refer to the fact that they hold values that act as separators. Indeed, for each node holding one particular key value, we find to its left, children that hold the keys of inferior value and to its right, a set of children with superior values. Although the values that B-tree nodes hold are labeled as keys, they still are values and can, besides acting as separators, represent actual data.(These keys are not to be confused with the keys of the key-value...

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