| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font
First page > Show document

Show document Help

Title:Analiza integracije iskalnega mehanizma elasticsearch na primeru sistema eArhiv Pošte Slovenije
Authors:ID Marinšek, Boštjan (Author)
ID Šumak, Boštjan (Mentor) More about this mentor... New window
Files:.pdf MAG_Marinsek_Bostjan_2018.pdf (3,68 MB)
MD5: AB7499D945B986B70AA403E5221B14F4
PID: 20.500.12556/dkum/d3dffbe0-836c-443c-bae8-16e77deffc3b
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
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, ElasticSearch, Microsoft SQL Server Full Text Search, polno-tekstovni indeks
Place of publishing:[Maribor
Publisher:B. Marinšek
Year of publishing:2018
PID:20.500.12556/DKUM-72745 New window
UDC:004.775:004.65(043.2)
COBISS.SI-ID:22017302 New window
NUK URN:URN:SI:UM:DK:6DUJYM0Q
Publication date in DKUM:21.12.2018
Views:2954
Downloads:252
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:01.11.2018

Secondary language

Language:English
Title:Analysis of the integration of the ElasticSearch search engine using the example of the e-Arhiv system of Pošta Slovenije
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.
Keywords:Full text search, ElasticSearch, Microsoft SQL Server Full Text Search, Full text index


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica