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

Petrov, Alex

ISBN 10: 1492040347 / ISBN 13: 9781492040347

Verlag: O'Reilly Media, 2019

Beschreibung

Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!

Bestandsnummer des Verkäufers OTF-S-9781492040347

Bibliografische Details

• Titel: Database Internals: A Deep Dive into How Distributed Data Systems Work
• Verlag: O'Reilly Media
• Erscheinungsjahr: 2019
• Sprache: Englisch
• ISBN-10: 1492040347
• ISBN-13: 9781492040347
• Einband: Softcover
• Zustand: New
• Verkäuferkataloge:
  • 0
  • VCF

Über diesen Titel

Inhaltsangabe

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

Über die Autorin bzw. den Autor

Alex Petrov (http: //coffeenco.de/, @ifesdjeen) is Apache Cassandra Committer, storage systems enthusiast working as a Core Database Engineer at DataStax. Before that, he's been working on building distributed systems and data processing pipelines for various companies.