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MongoDB Indexing for Performance Improvement

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ICT Systems and Sustainability

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1077))

Abstract

For any digital application, database positions at the heart of that application. Today with the big data requirement, databases are roaming from traditional relational databases towards NoSQL databases. The diverse numbers of database options are available under the NoSQL category. As per the database engine survey, MongoDB is the preferred NoSQL database among other databases. Due to numerous features available in MongoDB, this database is widely used in different applications. This database is fulfilling the needed requirements for upcoming applications. This paper is a study of indexing, which is one of the important artifacts of the database. Indexing is one of the special forms of the data structure. It plays an important role in performance improvement by saving execution time in terms of document scan. Use of indexing and its effect on query result is highlighted here. Another reason for selecting this artifact is indexing study is also important from a database forensics perspective. Database forensics is a detailed analysis of the database to find the origin of the problem.

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Author information

Authors and Affiliations

  1. College of Engineering Pune, Pune, India

    Rupali Chopade & Vinod Pachghare

Authors
  1. Rupali Chopade
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  2. Vinod Pachghare
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Corresponding author

Correspondence to Rupali Chopade .

Editor information

Editors and Affiliations

  1. Belgrade, Serbia

    Milan Tuba

  2. ITM University, Gwalior, India

    Shyam Akashe

  3. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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Chopade, R., Pachghare, V. (2020). MongoDB Indexing for Performance Improvement. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1077. Springer, Singapore. https://doi.org/10.1007/978-981-15-0936-0_56

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