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Progress in Intelligent Computing Techniques: Theory, Practice, and Applications pp 3–8Cite as

Review of Elasticsearch Performance Variating the Indexing Methods

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 719))

Abstract

In today’s world, data is increasing rapidly. Users mostly refer to internet for any information. Also a recent study shows that most of the users go to a search engine to refer to any other site also. So search has become an inseparable activity in internet. Elasticsearch is a java-based search engine that works efficiently in cloud environment. It mainly serves purpose of scalability, real-time search and efficiency that relational databases were not able to address. In this paper, we represent our involvement with Elasticsearch, an open source, Apache Lucene-based, full-text search engine that gives near real-time search ability, as well as a RESTful API for the simplicity of access to users in the various fields like education and research.

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References

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Author information

Authors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, India

    Urvi Thacker, Manjusha Pandey & Siddharth S Rautaray

Authors
  1. Urvi Thacker
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  2. Manjusha Pandey
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  3. Siddharth S Rautaray
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Corresponding author

Correspondence to Urvi Thacker .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India

    Manmath Narayan Sahoo

  3. School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia

    M. Murugappan

  4. The University of Exeter, Exeter, Devon, United Kingdom

    Yulei Wu

  5. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India

    Banshidhar Majhi

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Thacker, U., Pandey, M., Rautaray, S.S. (2018). Review of Elasticsearch Performance Variating the Indexing Methods. In: Sa, P., Sahoo, M., Murugappan, M., Wu, Y., Majhi, B. (eds) Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol 719. Springer, Singapore. https://doi.org/10.1007/978-981-10-3376-6_1

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  • DOI: https://doi.org/10.1007/978-981-10-3376-6_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3375-9

  • Online ISBN: 978-981-10-3376-6

  • eBook Packages: EngineeringEngineering (R0)

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