Author: Zen and the Art of Computer Programming
1 Introduction
In the Internet, information retrieval has always been an important topic, among which search engines are the most commonly used. The role of a search engine is not only to quickly obtain the information you need from massive data, but also as a social communication tool. Through the user's natural language input, the search engine can automatically match the most relevant content and present it to the user. The indexing mechanism is also crucial. A good index can help search engines quickly find the information they need, but it will also affect the performance of search engines, especially when processing large-scale data. Therefore, how to improve search engine indexing speed and reduce resource waste is one of the important directions for search engine performance optimization. This article will combine the author's many years of experience in the field of search engines to comprehensively analyze the search engine indexing process and its characteristics, and strive to thoroughly explain the impact of search engine indexing mechanisms and index structures on search engine performance, including document retrieval and sorting, result accuracy and recall rate, index maintenance cost and efficiency, query response time and system capacity, etc. And based on the actual situation at home and abroad, combined with the author's many years of engineering practice, he will share the methodology of search engine construction, architecture design and performance tuning based on the Lucene/Solr framework. The article is highly readable and provides detailed guidance, hoping to promote knowledge sharing and development in the search engine field.
2.Preface
2.1 Overview
First of all, the main contents of the article include:
- How search engines work
- Search engine indexing and relevance calculation methods
- Main architecture and components of Lucene/Solr
- SolrCloud's cloud distributed architecture and cluster management method
- Index quality assessment method, query analysis method and query optimization method
- Search engine performance tuning methodology
2.2 Author introduction
The author of the article currently works in the R&D Department of Sogou Search (Beijing) Technology Co., Ltd., and previously worked at Baidu Search Basic Research Institute. He has extensive experience in search engine development, performance tuning, cloud platform deployment, architecture design, etc., and is a leading authority in the search engine industry.