利用SQLite事务中的多块原子写

Seungyong Cheon, Y. Won
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引用次数: 4

摘要

这项工作致力于解决广泛使用的DBMS SQLite的日志开销。数据库日志记录和EXT4文件系统日志记录会导致大量的写操作,因为SQLite和EXT4文件系统之间频繁的fdatasync()调用和日志异常记录。虽然write - ahead - logging减少了fdatasync()调用的数量和写量,但JOJ和数据库日志记录开销仍然存在。在这项工作中,我们开发了一种新的SQLite日志模式,MAW模式。我们利用F2FS文件系统及其多块原子写入特性来自动写入更新的数据库页面。MAW模式完全消除了数据库日志记录,并保持数据库一致性,避免意外的系统故障。MAW模式只写实际更新的数据库页面,因此产生更小的写容量。我们在SQLite中使用最新版本的F2FS实现了MAW模式。在EXT4文件系统中,使用MAW模式时,数据库插入事务性能比普通SQLite PERSIST模式提高了487%,写容量减少了67%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploiting Multi-Block Atomic Write in SQLite Transaction
This work is dedicated to resolve the journaling overhead of widely used DBMS, SQLite. Database journaling and EXT4 filesystem journaling cause enormous write operations because of the frequent fdatasync() call and Journaling of Journal anomaly between SQLite and EXT4 filesystem. While Write-Ahead-Logging reduces the number of fdatasync() call and write volume, JOJ and database journaling overhead is still remained. In this work, we develop a new SQLite journal mode, MAW mode. We exploit the F2FS filesystem and its Multi-block Atomic Write feature to write updated database pages atomically. MAW mode completely eliminated database journaling and keeps database consistency from unexpected system failure. MAW mode only writes the actually updated database pages, thereby generates smaller write volume. We implement MAW mode at SQLite with most recent version of F2FS. With MAW mode, database insert transaction performance is increased by 487% and write volume is decreased by 67% than stock SQLite PERSIST mode in EXT4 filesystem.
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