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Handbook of Data Structures and Applications, 2nd Edition
book

Handbook of Data Structures and Applications, 2nd Edition

by Dinesh P. Mehta, Sartaj Sahni
February 2018
Intermediate to advanced
1120 pages
53h 40m
English
Chapman and Hall/CRC
Content preview from Handbook of Data Structures and Applications, 2nd Edition

16

B Trees*

Donghui Zhang

Northeastern University

16.1Introduction

16.2The Disk-Based Environment

16.3The B-tree

B-tree DefinitionB-tree QueryB-tree InsertionB-tree Deletion

16.4The B+-tree

Copy-up and Push-upB+-tree QueryB+-tree InsertionB+-tree Deletion

16.5Further Discussions

Efficiency AnalysisWhy Is the B+-treeWidely Accepted?Bulk-Loading a B+-treeAggregation Query in a B+-tree

References

16.1Introduction

We have seen binary search trees in Chapters 3 and 11. When data volume is large and does not fit in memory, an extension of the binary search tree to disk-based environment is the B-tree, originally invented by Bayer and McCreight [1]. In fact, since the B-tree is always balanced (all leaf nodes appear at the same level), it ...

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Publisher Resources

ISBN: 9781351645645