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https://doi.org/10.1109/icde.2...
Article . 2011 . Peer-reviewed
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Precisely Serializable Snapshot Isolation (PSSI)

Authors: Stephen Revilak; Patrick E. O'Neil; Elizabeth J. O'Neil;

Precisely Serializable Snapshot Isolation (PSSI)

Abstract

Many popular database management systems provide snapshot isolation (SI) for concurrency control, either in addition to or in place of full serializability based on locking. Snapshot isolation was introduced in 1995 [2], with noted anomalies that can lead to serializability violations. Full serializability was provided in 2008 [4] and improved in 2009 [5] by aborting transactions in dangerous structures, which had been shown in 2005 [9] to be precursors to potential SI anomalies. This approach resulted in a runtime environment guaranteeing a serializable form of snapshot isolation (which we call SSI [4] or ESSI [5]) for arbitrary applications. But transactions in a dangerous structure frequently do not cause true anomalies so, as the authors point out, their method is conservative: it can cause unnecessary aborts. In the current paper, we demonstrate our PSSI algorithm to detect cycles in a snapshot isolation dependency graph and abort transactions to break the cycle. This algorithm provides a much more precise criterion to perform aborts. We have implemented our algorithm in an open source production database system (MySQL/InnoDB), and our performance study shows that PSSI throughput improves on ESSI, with significantly fewer aborts.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Average
Top 10%
Top 10%