The steps and implementation principles of full-text search in Elasticsearch
What is ElasticSearch
ElasticSearch (ES for short) is an open source-based distributed search and analysis engine that provides powerful full-text search, structured query, real-time data analysis and visualization functions. It is built on top of the Apache Lucene search engine library and provides an easy-to-use interface through a RESTful API.
Here are some of the key features of ElasticSearch:
- Distributed architecture: ElasticSearch is a distributed system that can handle large-scale data and high concurrent access through horizontal scalability. It can automatically shard and distribute data to multiple nodes, and provide a replication mechanism to ensure data reliability and fault tolerance.
- Real-time search and analysis: ElasticSearch provides fast, real-time full-text search and analysis capabilities. It uses an inverted index to speed up searches and quickly find relevant documents in large amounts of data. At the same time, it supports complex structured queries and aggregate analysis, and can be used in various scenarios, such as log analysis, business monitoring, etc.
- Powerful queries