Full Text Search based on Lucene and Cloud Adaptability Review
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Author/Creator ORCID
Date
2018-01-01
Type of Work
Department
Computer Science and Electrical Engineering
Program
Computer Science
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Distribution Rights granted to UMBC by the author.
Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan thorugh a local library, pending author/copyright holder's permission.
This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan thorugh a local library, pending author/copyright holder's permission.
This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
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.