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Building a Columnar Database on RAMCloud

Database Design for the Low-Latency Enabled Data Center

  • Christian Tinnefeld

Part of the In-Memory Data Management Research book series (IMDM)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Christian Tinnefeld
    Pages 1-6
  3. Christian Tinnefeld
    Pages 7-42
  4. A Database System Architecture for a Shared Main Memory-Based Storage

    1. Front Matter
      Pages 43-43
    2. Christian Tinnefeld
      Pages 45-51
    3. Christian Tinnefeld
      Pages 53-62
    4. Christian Tinnefeld
      Pages 63-66
  5. Database Operator Execution on a Shared Main Memory-Based Storage

    1. Front Matter
      Pages 67-67
    2. Christian Tinnefeld
      Pages 69-77
    3. Christian Tinnefeld
      Pages 79-91
  6. Evaluation

    1. Front Matter
      Pages 93-93
    2. Christian Tinnefeld
      Pages 95-99
    3. Christian Tinnefeld
      Pages 101-102
    4. Christian Tinnefeld
      Pages 103-108
  7. Conclusions

    1. Front Matter
      Pages 109-109
    2. Christian Tinnefeld
      Pages 111-112
  8. Back Matter
    Pages 113-130

About this book

Introduction

This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today’s network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic, and provide high-availability. c) A modern storage system such as Stanford’s RAMCloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.

Keywords

Cloud computing Database operator execution Distributed systems In-Memory database technology Remote direct memory access Shared main memory-based storage

Authors and affiliations

  • Christian Tinnefeld
    • 1
  1. 1.University of PotsdamHasso Plattner InstitutePotsdamGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-20711-7
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-20710-0
  • Online ISBN 978-3-319-20711-7
  • Series Print ISSN 2196-8055
  • Series Online ISSN 2196-8063
  • Buy this book on publisher's site
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