July 2022
Intermediate to advanced
304 pages
9h 15m
English
book
Algorithms and Data Structures for Massive Datasets
by Dzejla Medjedovic, Emin Tahirovic, Ines Schweigert
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10 Data structures for databases: B-trees, Bε-trees, and LSM-trees
This chapter covers
- Learning how database indices work under the hood
- Exploring data structures that live underneath MySQL, LevelDB, RocksDB, TokuDB, and so on
- Learning what B-trees are and how lookups, inserts, and deletes in B-trees work
- Understanding how Bε-trees work and how buffering helps writes
- Learning how log-structured merge trees (LSM-trees) work and their performance benefits
Choosing the right database for one’s application requires some understanding of the way in which different database engines are built. Specifically, most databases implement indices to speed up the search of their large and frequently queried tables. Commonly, an index is placed on one of the ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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