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Laser: Load-adaptive group commit in lock-free transaction logging

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Log manager is a key component of DBMS and is considered as the most prominent bottleneck in the modern in-memory OLTP system. In this paper, by addressing two existing performance hurdles in the current procedure, we propose a high-performance transaction logging engine Laser and integrate it into OceanBase, an in-memory OLTP system. First, we present a lock-free transaction logging framework to eliminate the lock contention. Then we make theoretical analysis and propose a judicious grouping strategy to determine an optimized group time for different workloads. Experiment results show that it improves 1.4X–2.4X throughput and reduces more than 60% latency compared with current methods.

源语言英语
主期刊名Web and Big Data - 1st International Joint Conference, APWeb-WAIM 2017, Proceedings
编辑Cyrus Shahabi, Xiang Lian, Christian S. Jensen, Xiaochun Yang, Lei Chen
出版商Springer Verlag
320-328
页数9
ISBN(印刷版)9783319635781
DOI
出版状态已出版 - 2017
活动1st Asia-Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2017 - Beijing, 中国
期限: 7 7月 20179 7月 2017

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10366 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议1st Asia-Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2017
国家/地区中国
Beijing
时期7/07/179/07/17

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