magistrsko delo
Boštjan Marinšek (Author), Boštjan Šumak (Mentor)

Abstract

V magistrski nalogi smo preučili smotrnost integracije iskalnega pogona ElasticSearch v sistem e-Arhiv Pošte Slovenije, ki v obstoječi konfiguraciji uporablja iskalni pogon Microsoft SQL Server Full Text Search. V ta namen smo primerjali oba iskalna pogona, in sicer z vidika hitrosti procesiranja iskalnih zahtevkov, hitrosti indeksiranja polno-tekstovnih podatkov in hitrosti procesiranja iskalnih zahtevkov v času, ko se izvaja indeksiranje polno-tekstovnih podatkov. Preizkus obeh iskalnih pogonov je potekal na isti infrastrukturi z identično strojno konfiguracijo. Za doseganje večje veljavnost in zanesljivosti raziskave smo uporabili podatke iz testnega sistema e-Arhiv Pošte Slovenije. Rezultati so pokazali, da je iskalni pogon ElasticSearch z vidika hitrosti iskanja in indeksiranja polno-tekstovnih podatkov boljša izbira od iskalnega pogona Microsoft SQL Server Full Text Search in da predstavlja zelo dobrega kandidata za integracijo v sistem e-Arhiv Pošte Slovenije.

Keywords

polno-tekstovno iskanje;polno-tekstovni indeks;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: B. Marinšek
UDC: 004.775:004.65(043.2)
COBISS: 22017302 Link will open in a new window
Views: 1172
Downloads: 163
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Analysis of the integration of the ElasticSearch search engine using the example of the e-Arhiv system of Pošta Slovenije
Secondary abstract: In our master’s thesis we examined how useful it was to integrate the ElasticSearch search engine into the e-Arhiv system of Pošta Slovenije, which currently runs a configuration using the Microsoft SQL Server Full Text Search. To carry this out we compared both search engines, focusing on the search query processing speed, full-text indexing speed and search query processing speed during full-text indexing. Testing of both search engines was performed using the same infrastructure with identical hardware configurations. To achieve better validity and reliability of the study, we used data from the e-Arhiv test system of Pošta Slovenije. The results showed that the ElasticSearch search engine was the better choice than the Microsoft SQL Server Full Text Search search engine with regard to search speed and speed of full-text indexing, and that it is a good option for integration into the e-Arhiv system of Pošta Slovenije.
Secondary keywords: full text search;elasticsearch;microsoft SQL server;full text index;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages: IX, 100 str.
ID: 10980953