All unique words appear in the index in reverse order, And you can find all the documents that contain each word. Įlasticsearch It uses a data structure called inverted index, This structure is designed to allow very fast full-text search. Each document will have a set of keys （ The name of the field or property ） And their corresponding values （ character string 、 Numbers 、 Boolean value 、 date 、 Numerical group 、 Geographic location or other types of data ） Make a connection between. Elasticsearch Will JSON Data is stored in the form of a document. Elasticsearch What is the index ？Įlasticsearch An index refers to a collection of interrelated documents. stay Kibana in, Users can create powerful visualizations based on their own data, Share dashboard, Also on Elastic Stack Conduct management. These data are in Elasticsearch After the index is finished, Users can run complex queries against their data, And use aggregations to retrieve complex aggregations of your own data. Data acquisition refers to Elasticsearch Parse before indexing 、 The process of standardizing and enriching these raw data. Raw data will come from multiple sources （ Including logs 、 System metrics and web applications ） Input to Elasticsearch in. Geospatial data analysis and VisualizationĮlasticsearch What is the working principle of ？ Infrastructure indicators and container monitoring Elasticsearch What is the purpose of ？Įlasticsearch Excellent in terms of speed and scalability, It can also index multiple types of content, This means that it can be used in a variety of use cases ： People usually will Elastic Stack be called ELK Stack（ Generation refers to Elasticsearch、Logstash and Kibana）, at present Elastic Stack Includes a rich range of lightweight data acquisition agents, These agents are collectively referred to as Beats, Can be used to Elasticsearch send data. Elasticsearch With its simplicity REST style API、 Distributed features 、 Famous for speed and scalability, yes Elastic Stack Core components Elastic Stack Is suitable for data collection 、 Enrich 、 Storage 、 A set of open source tools for analysis and Visualization. Elasticsearch stay Apache Lucene Developed on the basis of, from Elasticsearch N.V.（ That is, the present Elastic） On 2010 First released in 2004.
Apache lucene version how to#
Now let Xiaobian take you to learn “ How to use Docker Compose Build deployment ElasticSearch” Well ! What is? Elasticsearch？Įlasticsearch Is a distributed open source search and analysis engine, For all types of data, Including text 、 Numbers 、 Geographical space 、 Structured and unstructured data. The method introduced in this paper is simple and fast, Practical.
This article mainly explains “ How to use Docker Compose Build deployment ElasticSearch”, Interested friends might as well come and have a look. How to use Docker Compose Build deployment ElasticSearch
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