Content area

Abstract

We implement a serial indexing approach using Lucene search engine to find the free text in a relational database. We propose to analyze and compare the results obtained using the Lucene search engine against the conventional MySQL query functionality. Today, many search engines combine various retrieval approaches and indexing to obtain the desired query operations. In modern age, the amount of efficiency in retrieval of all related information is of high importance. Lucene has capability to scale millions of pages and records in short span of time. We analyze the inverted indexing methodology to obtain the related information in a huge set of structured database and discuss the effectiveness of performing such operations. The amount of time required to search the indexed storage is very less compared to the time taken by a conventional computer to query the database. In the end, we review the different mechanisms applicable for using lucene to perform such operations on cloud based storage.

Details

1010268
Title
Full Text Search Based on Lucene and Cloud Adaptability Review
Number of pages
57
Degree date
2018
School code
0434
Source
MAI 58/04M(E), Masters Abstracts International
ISBN
978-0-438-90507-8
University/institution
University of Maryland, Baltimore County
Department
Computer Science
University location
United States -- Maryland
Degree
M.S.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
13418927
ProQuest document ID
2189115121
Document URL
https://www.proquest.com/dissertations-theses/full-text-search-based-on-lucene-cloud/docview/2189115121/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic