Elasticsearch as search engine for user system
| dc.citation.epage | 124 | |
| dc.citation.spage | 114 | |
| dc.contributor.author | Hnativ Taras | |
| dc.date.accessioned | 2022-11-08T08:58:58Z | |
| dc.date.available | 2022-11-08T08:58:58Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | All sites that we visit every day is a “Search” box. Blogs, wikis, shopping, social media, every website can benefit from providing search. Google, started as just a very powerful Search Engine. As developers, scientists and all who plan to implement some types of website, they all have the same need for a quality and speedy search function. In fact more recently, search has become so fast and useful that it has been used to power almost entire websites with millions of listing pages. And of course we have a lot of search engines with their pros and cons, but the most powerfull is ElasticSearch. In this article I am going give a brief outline of ElasticSearch. And also will be covered the deloying ES as cluster on AWS. | |
| dc.identifier.citation | Hnativ T. Elasticsearch as search engine for user system / Taras Hnativ // Computational Linguistics and Intelligent Systems. – Lviv, 2020. – Volume 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine, June 23–24, 2020. – P. 114–124. – URL: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf (дата звернення: 08.11.2022). – Bibliography: 82 titles. | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/57048 | |
| dc.language.iso | en | |
| dc.publisher | онлайн | |
| dc.subject | ElasticSearch, AWS,search systems, search engines, Lucene, indexing, reindexing, sharding | |
| dc.title | Elasticsearch as search engine for user system | |
| dc.type | Conference Paper |