Introduction to Apache Solr

Apache Solr is an open source full-text search platform built on Apache Lucene. It provides powerful full-text search, hit highlighting, distributed search, document oriented search, scalability, and ease of use functions. Solr was founded in 2004, initially developed by Yonik Seeley, and became a top-level project of the Apache Software Foundation in 2006. Solr is maintained and developed by the Apache community, with a wide user base and good ecosystem support. Solr is widely used in various types of document retrieval scenarios, especially for scenarios that require complex search and filtering. It can be used to create and search document collections containing unstructured text, such as web pages, text fields in databases, files, and emails. The advantages of Solr include: 1. Fast: Solr is based on Lucene's powerful search engine, with efficient indexing and search functions, and can quickly process large-scale datasets. 2. Scalability: Solr supports horizontal scaling and can handle larger data volumes and more concurrent requests by adding more nodes. 3. Ease of use: Solr provides a RESTful API and rich Query language, enabling developers to easily build and execute complex query operations. 4. Highly customizable: Solr supports custom analyzers, query parsers, and plugins, which can be highly customized according to specific needs. However, Solr also has some drawbacks: 1. The Learning curve is steep: Solr may have a certain Learning curve for beginners, especially for complex queries and the use of advanced functions. 2. Memory usage: Due to Solr's need to load index data into memory to improve query performance, memory usage may be higher for large-scale datasets. The core technical principles of Solr include: 1. Index construction: Solr divides the process of document analysis and index construction into multiple stages, including text parsing, tokenization, lexicalization, word frequency calculation, Inverted index construction, etc. 2. Query processing: After Solr receives a query request, it first performs query parsing and converts the query into an internal data structure. Then sort the matching results based on the query scoring algorithm and return the most relevant search results. In terms of performance analysis, Solr can conduct performance analysis and optimization by monitoring performance indicators such as query response time, throughput, and resource utilization. The official website of Solr is: https://lucene.apache.org/solr/ Summary: Apache Solr is a powerful full-text search platform that provides efficient full-text search, distributed search, and document oriented search functions. It is suitable for scenarios that require complex search and filtering, and has advantages such as speed, scalability, and ease of use. However, for beginners, the Learning curve may be steep. The core technical principles of Solr include index construction and query processing. Perform performance analysis and optimization by monitoring performance indicators.