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12 Νοε 2019 · No matter how well PostgreSQL does on its full-text searches, Elasticsearch is designed to search in enormous texts and documents(or records). And the more size you want to search in, the more Elasticsearch is better than PostgreSQL in performance.
6 Ιουν 2024 · Full-text search is one of the most powerful features of Elasticsearch. Unlike traditional searches that require exact term matches, full-text search allows you to find documents containing...
20 Ιαν 2020 · full-text search; Unless you need relevance score or full-text search always try to use filters. Filters are “cheaper”. In addition, Elasticsearch will automatically cache the results of filters.
A full text query that allows fine-grained control of the ordering and proximity of matching terms. The standard query for performing full text queries, including fuzzy matching and phrase or proximity queries. Like the match query but used for matching exact phrases or word proximity matches.
9 Ιαν 2024 · Full-text search queries and performs linguistic searches against documents. It includes single or multiple words or phrases and returns documents that match search condition. ElasticSearch is a search engine based on Apache Lucene, a free and open-source information retrieval software library.
19 Ιουλ 2023 · In Part 1, we delved into the capabilities of PostgreSQL's full-text search and explored how advanced search features such as relevancy boosters, typo-tolerance, and faceted search can be implemented. In this part, we'll compare it with Elasticsearch.
This is a hands-on introduction to the basics of full-text search with Elasticsearch, also known as lexical search, using the _search API and Query DSL. You’ll also learn how to filter data, to narrow down search results based on exact criteria.
