Full Text Search Based on Lucene and Cloud Adaptability Review
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| Publicado en: | ProQuest Dissertations and Theses (2018) |
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ProQuest Dissertations & Theses
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| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| Resumen: | 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. |
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| ISBN: | 9780438905078 |
| Fuente: | ProQuest Dissertations & Theses Global |