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Heterogeneous NoSQL Databases Abstraction Approach Based on Full Text Search Indexes

  • Hassen Fadoua
  • Grissa Touzi Amel
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 57)

Abstract

The exponential growth of unstructured data in the mobile applications, the social networks and the web technologies led to NoSQL database emergence. While this specific class of DBMS provided a better scalability for databases, the lack of a standard DML that unifies and simplifies querying NoSQL data stores is still a hard deal especially in heterogeneous environments. A simple SQL query can turn into a complex map-reduce function in the NoSQL world in order to obtain the same result in the standard SQL DDBMS. With no common convention between the large variety of NoSQL implementations and families, each product implemented its vision of the NoSQL concept. Each implementation covered distinct functional scopes, depending on the target domain and the creation purposes. Meanwhile, many successful NoSQL databases integrated a powerful full text component to enhance their search capabilities. To remedy this variety limitation, we propose a new incremental approach that allows (1) the standardization of NOSQL search queries among heterogeneous NoSQL data stores and (2) NoSQL search queries optimizing. This approach is based on (1) the definition of a new universal engine for full text indexing, (2) incremental synchronization of data and indexes between the stretched sites.

Keywords

Nosql Heterogeneous databases Standardization Common language Fulltext indexes 

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Copyright information

© Springer International Publishing Switzerland 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  1. 1.LIPAH, FSTUniversity of Tunis El ManarTunisTunisia

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