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NoSQL Undo: Recovering NoSQL databases by undoing operations

Authors: David Matos; Miguel Correia;

NoSQL Undo: Recovering NoSQL databases by undoing operations

Abstract

NoSQL databases offer high throughput, support for huge data structures, and capacity to scale horizontally at the expense of not supporting relational data, ACID consistency and a standard SQL syntax. Due to their simplicity and flexibility, NoSQL databases are becoming very popular among web application developers. However, most NoSQL databases only provide basic backup and restore mechanisms, which allow recovering databases from a crash, but not to remove undesired operations caused by accidental or malicious actions. To solve this problem we propose NOSQL UNDO, a recovery approach and tool that allows database administrators to remove the effect of undesirable actions by undoing operations, leading the system to a consistent state. NOSQL UNDO leverages the logging and snapshot mechanisms built-in NoSQL databases, and is able to undo operations as long as they are present in the logs. This is, as far as we know, the first recovery service that offers these capabilities for NoSQL databases. The experimental results with MongoDB show that it is possible to undo a single operation in a log with 1,000,000 entries in around one second and to undo 10,000 incorrect operations in less than 200 seconds.

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Powered by OpenAIRE graph
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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!
5
Average
Average
Average
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