The files here are hosted on Youtube.com not on the http://metrolagu76.eu.org server and what is uploaded to YouTube is the [Codetuber] channel. We don`t upload them on our servers, we only review and help promote their YouTube videos for free.
If you think this is an illegal file, please report it to Youtube with id Video [ V1Eo429iS9c ]
In this elastic search tutorial, we discuss about phrase matching in Elasticsearch. This is part of Query DSL (Domain Specific Language). We also discuss about the proximity queries.
00:00 - What is a phrase for elasticsearch?
00:25 - Why a match query does not perform phrase matching?
01:37 - Phrase matching in ElasticSearch
02:17 - What is slop?
04:30 - Phrase matching without considering order?
05:49 - What is a proximity query?
Playlist Link: https://www.youtube.com/watch?v=lnEzmQHa6Co&list=PLa6iDxjj_9qVaf5CsXWP-GAgZoVwKowjx&ab_channel=Codetuber
#coding #theory #computerscience #elasticsearch #clusters #distributedSystems #tutorial #logstash #kibana #beats #aws #dataScience #queryDSL #slop #phraseMatching #proximityQueries
Places where these ideas can be used:
- To search for phrases in elasticSearch
- To perform proximity queries in elasticSearch
The match_phrase query analyzes the text and creates a phrase query out of the analyzed text.
A phrase query matches terms up to a configurable slop (which defaults to 0) in any order. Transposed terms have a slop of 2.
The analyzer can be set to control which analyzer will perform the analysis process on the text. It defaults to the field explicit mapping definition, or the default search analyzer.
(This tutorial is part of a series of tutorials on Elasticsearch, logstash and Kibana. It uses docker for purpose of installation, and may even use aws in the future.)