VLL: a lock manager redesign for main memory database systems

VLL: a lock manager redesign for main memory database systems Lock managers are increasingly becoming a bottleneck in database systems that use pessimistic concurrency control. In this paper, we introduce very lightweight locking (VLL), an alternative approach to pessimistic concurrency control for main memory database systems, which avoids almost all overhead associated with traditional lock manager operations. We also propose a protocol called selective contention analysis (SCA), which enables systems implementing VLL to achieve high transactional throughput under high-contention workloads. We implement these protocols both in a traditional single-machine multi-core database server setting and in a distributed database where data are partitioned across many commodity machines in a shared-nothing cluster. Furthermore, we show how VLL and SCA can be extended to enable range locking. Our experiments show that VLL dramatically reduces locking overhead and thereby increases transactional throughput in both settings. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The VLDB Journal Springer Journals

VLL: a lock manager redesign for main memory database systems

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2015 by Springer-Verlag Berlin Heidelberg
Subject
Computer Science; Database Management
ISSN
1066-8888
eISSN
0949-877X
D.O.I.
10.1007/s00778-014-0377-7
Publisher site
See Article on Publisher Site

Abstract

Lock managers are increasingly becoming a bottleneck in database systems that use pessimistic concurrency control. In this paper, we introduce very lightweight locking (VLL), an alternative approach to pessimistic concurrency control for main memory database systems, which avoids almost all overhead associated with traditional lock manager operations. We also propose a protocol called selective contention analysis (SCA), which enables systems implementing VLL to achieve high transactional throughput under high-contention workloads. We implement these protocols both in a traditional single-machine multi-core database server setting and in a distributed database where data are partitioned across many commodity machines in a shared-nothing cluster. Furthermore, we show how VLL and SCA can be extended to enable range locking. Our experiments show that VLL dramatically reduces locking overhead and thereby increases transactional throughput in both settings.

Journal

The VLDB JournalSpringer Journals

Published: Oct 1, 2015

References

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