Supporting set-valued joins in NoSQL using Map Reduce
- Authors
- Kim, Chulyun; Shim, Kyuseok
- Issue Date
- Apr-2015
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Set-similarity join; MapReduce; Trie structure; Prefix filtering; NoSQL; Big data; Data mining
- Citation
- INFORMATION SYSTEMS, v.49, pp.52 - 64
- Journal Title
- INFORMATION SYSTEMS
- Volume
- 49
- Start Page
- 52
- End Page
- 64
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10628
- DOI
- 10.1016/j.is.2014.11.005
- ISSN
- 0306-4379
- Abstract
- NoSQL systems are increasingly adopted for Web applications requiring scalability that relational database systems cannot meet. Although NoSQL systems have not been designed to support joins, as they are applied to a wide variety of applications, the need to support joins has emerged. Furthermore, joins performed in NoSQL systems are generally similarity joins, rather than exact-match joins, which find similar pairs of records. Since Web applications often use the MapReduce framework, we develop a solution to perform similarity joins in NoSQL systems using the MapReduce framework. (C) 2014 Elsevier Ltd. All rights reserved.
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