Accuracy of Atomic Transaction Scenario for Heterogeneous Distributed Column-Oriented Databases

Ramesh, Dharavath; Jain, Amit Kumar; Kumar, Chiranjeev; Kumar, Vikas

doi:10.1007/978-81-322-1665-0_47

Cited by 4 publications

(1 citation statement)

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“…However, this method depends on the precision of the client clock. In literature [25] [26], the authors implemented a transaction support function of multi-row data for HBase using two-phase commit protocol. In literature [27], the author implemented a middle layer of transaction support for MongoDB database using four-phase commit protocol.…”

Section: Snapshot Isolation Technology Aims To Improve Concurrency Anmentioning

confidence: 99%

A Surfing Concurrence Transaction Model for Key-Value NoSQL Databases

Li¹,

Gu²

2018

JSEA

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As more and more application systems related to big data were developed, NoSQL (Not Only SQL) database systems are becoming more and more popular. In order to add transaction features for some NoSQL database systems, many scholars have tried different techniques. Unfortunately, there is a lack of research on Redis's transaction in the existing literatures. This paper proposes a transaction model for key-value NoSQL databases including Redis to make possible allowing users to access data in the ACID (Atomicity, Consistency, Isolation and Durability) way, and this model is vividly called the surfing concurrence transaction model. The architecture, important features and implementation principle are described in detail. The key algorithms also were given in the form of pseudo program code, and the performance also was evaluated. With the proposed model, the transactions of Key-Value NoSQL databases can be performed in a lock free and MVCC (Multi-Version Concurrency Control) free manner. This is the result of further research on the related topic, which fills the gap ignored by relevant scholars in this field to make a little contribution to the further development of NoSQL technology.

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Section: Snapshot Isolation Technology Aims To Improve Concurrency Anmentioning

confidence: 99%