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Database Internals: A Deep Dive into How Distributed Data Systems Work

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Marque : GENERIC
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When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database an...

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Description produit
Marque
GENERIC
Titre principal
Database Internals: A Deep Dive into How Distributed Data Systems Work
Editeur
O'Reilly Media
Type de produit
Paperback
Présentation du livre
paperback
Release date
11/5/2019 12:00:00 AM
Langue d'origine
English
ISBN
1492040347
Dimensions
7 x 0.75 x 9 inches
Nombre de pages de livre
370 pages
Langue - Librairie
English
Résumé
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency Read more
Auteur(s)
Alex Petrov
Date de parution
11/5/2019 12:00:00 AM