Solr Tutoriallearning manual
Published on 2023-04-20 00:10:05 · 中文 · بالعربية · Español · हिंदीName · 日本語 · Русский язык · 中文繁體
Apache Solr Tutorial
Solr is a specific NoSQL technology optimized for a unique class of problems. Solr is an extensible, readily deployable Enterprise search search engine designed to search a large amount of text centric data and return results sorted by relevance. The following are the benefits of Apache Solr:
Scalable: It scales by distributing index and query processing across multiple servers in the cluster.
Ready to deploy: It is open source, easy to install and configure, and provides a pre configured example to help you get started.
Optimized for search: It is very fast and can execute complex queries in a fraction of a second, usually only a few tens of milliseconds.
Large volumes of documents: It aims to handle indexes containing millions of documents.
Text centric: It is optimized for searching natural language text, such as emails, web pages, resumes, PDF documents, and social messages (such as tweets or blogs)
Results sorted by relevance: It returns documents in ranked order based on their relevance to user queries.
Note:Solar is not a web search engine like Google or Bing, and is not related to website search engine optimization.
Why do we need search engines?
Search engines mainly serve as filters to meet the needs of the World Wide Web. It enables us to quickly and easily find any information about their interests or values without browsing a large number of unrelated web pages. The goal of search engines is to provide users with filtered search results that can be found on high-quality websites that provide a large amount of data, such as Lidihuo, Wikipedia, etc.
Overview of Features
Let's briefly explain some random key characteristics of Solr, which are organized according to the following categories:
User experience
Data modeling
New Solr features
User experience function
Apache Solr provides several important features that can be used to provide easy-to-use, proactive, and powerful search solutions. It only exposes an HTTP API similar to REST and cannot provide search related UI components in any language or framework. The following are UI components that utilize the following user experience features:
Paging and sorting: Solr is optimized to serve paging and requests, rather than returning all matching documents, where only the first N documents are returned on the first page. If the user cannot find the content they want on the first page.
Aspect: It provides users with tools to optimize their search criteria and discover more information by categorizing search results into subgroups through facets.
Autosuggestion: It can be used by users who want their search application to'do the right thing', even if they fill in incomplete information. It allows users to view a list of suggested terms and phrases based on the documents in the index.
Spell check: It can be used to automatically correct the words we want to write. Users hope that search engines can elegantly handle spelling errors.
Highlight: It can be used to display specific parts of each document.
Geospatial search: Solr can use it to sort documents by distance from their geographic location.