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Implementation of ElasticSearch Search Engine on Order Management System Data

by Devi Fitrianah, Thomson Palito Napitupulu, Umniy Salamah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 8
Year of Publication: 2018
Authors: Devi Fitrianah, Thomson Palito Napitupulu, Umniy Salamah
10.5120/ijca2018917617

Devi Fitrianah, Thomson Palito Napitupulu, Umniy Salamah . Implementation of ElasticSearch Search Engine on Order Management System Data. International Journal of Computer Applications. 181, 8 ( Aug 2018), 25-35. DOI=10.5120/ijca2018917617

@article{ 10.5120/ijca2018917617,
author = { Devi Fitrianah, Thomson Palito Napitupulu, Umniy Salamah },
title = { Implementation of ElasticSearch Search Engine on Order Management System Data },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2018 },
volume = { 181 },
number = { 8 },
month = { Aug },
year = { 2018 },
issn = { 0975-8887 },
pages = { 25-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number8/29793-2018917617/ },
doi = { 10.5120/ijca2018917617 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:05:24.681594+05:30
%A Devi Fitrianah
%A Thomson Palito Napitupulu
%A Umniy Salamah
%T Implementation of ElasticSearch Search Engine on Order Management System Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 8
%P 25-35
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Elasticsearch is a search engine, generally searching full-text formatted data. It organizes the data and makes them more accessible. Elasticsearch is built with Java programming language, open-source, and under the Apache license. Elasticsearch is utilized technically by querying searched keywords, which communicated via API. It is installed in a standalone database server using HTTP/JSON protocol, retrieved and stored data in optimized form. It becomes a reliable technology in today’s IT industries that needs optimization in searching full-text formatted data. The bigger size of data, the slower the accessibility, meantime, recent requirements need faster access for very large transaction. The research discussed the influence of adding Elasticsearch in web-based system and the non-adding Elasticsearch. The study implemented Agile Scrum methodology in developing the system. The result of this study is the data access becomes faster by 10.01% when implemented Elasticsearch.

References
  1. Abubakar, Y., Adeyi, T. S., & Auta, I. G. (2014). Performance Evaluation of NoSQL Systems Using YCSB in a Resource Austere Environment. International Journal of Applied Information Systems (IJAIS), 7 - No. 8, 23-27.
  2. Croft, B., Metzler, D., & Strohman, T. (2015). Search Engines - Informational Retrieval in Practice. Massachusetts: Pearson Education, Inc.
  3. Gormley, C., & Tong, Z. (2015). Elasticsearch The Definitive Guide - A Distributed Real-time Search and Analytics Engine. Sebastopol: O’Reilly Media, Inc.
  4. Gupta, P., & Nair, S. (2016). Survey Paper on Elastic Search. International Journal of Science and Research (IJSR), 5(1), 333-336.
Index Terms

Computer Science
Information Sciences

Keywords

Elasticsearch MongoDB Replica Set PHP

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