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About this book
This book explores the implications of non-volatile memory (NVM) for database management systems (DBMSs). The advent of NVM will fundamentally change the dichotomy between volatile memory and durable storage in DBMSs. These new NVM devices are almost as fast as volatile memory, but all writes to them are persistent even after power loss. Existing DBMSs are unable to take full advantage of this technology because their internal architectures are predicated on the assumption that memory is volatile. With NVM, many of the components of legacy DBMSs are unnecessary and will degrade the performance of data-intensive applications.
We present the design and implementation of DBMS architectures that are explicitly tailored for NVM. The book focuses on three aspects of a DBMS: (1) logging and recovery, (2) storage and buffer management, and (3) indexing. First, we present a logging and recovery protocol that enables the DBMS to support near-instantaneous recovery. Second, we propose astorage engine architecture and buffer management policy that leverages the durability and byte-addressability properties of NVM to reduce data duplication and data migration. Third, the book presents the design of a range index tailored for NVM that is latch-free yet simple to implement. All together, the work described in this book illustrates that rethinking the fundamental algorithms and data structures employed in a DBMS for NVM improves performance and availability, reduces operational cost, and simplifies software development.
Table of contents (9 chapters)
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Bibliographic Information
Book Title: Non-Volatile Memory Database Management Systems
Authors: Joy Arulraj, Andrew Pavlo
Series Title: Synthesis Lectures on Data Management
DOI: https://doi.org/10.1007/978-3-031-01868-8
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 8
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-031-00740-8Published: 12 February 2019
eBook ISBN: 978-3-031-01868-8Published: 01 June 2022
Series ISSN: 2153-5418
Series E-ISSN: 2153-5426
Edition Number: 1
Number of Pages: XVII, 173
Topics: Information Systems and Communication Service, Data Structures and Information Theory