Solr learning Summary (1) Solr introduction and solr learning Summary

Solr learning Summary (1) Solr introduction and solr learning Summary

I have been working on Solr issues recently, researching Solr optimization, and modifying search engine bugs. In the past few days, I have finally had time to summarize and share these issues for your reference, learn together with everyone.

 

Solr is a full-text search engine based on Lucene. It also provides a richer query language than Lucene, it enables configuration and scalability, and optimizes query performance, provides more flexible configuration, and improves query efficiency. Supports XML/HTTP protocols, json api interfaces, cache and replication, and a complete Web management interface. It is an excellent full-text search engine.

 

Solr provides APIs similar to Web-service. You can submit an XML/JSON file in a certain format to the search engine server through an http request to generate an index. You can also perform a query request through the Http Get operation, and return results in XML/JSON format.

 

Solr features include:

1. Advanced full-text search

2. optimized for High-throughput network traffic

3. standards based on open interfaces (XML and HTTP)

4. Comprehensive HTML Management Interface

5. scalability-effectively replicate to another Solr search Server

6. Use XML configuration to achieve flexibility and adaptability

7. scalable plug-in system

 

Solr Website: http://lucene.apache.org/solr/

 

Solr should be the standard for e-commerce enterprises. Currently, full-text search engines of most e-commerce websites are based on Solr. The following describes how to install and use Solr.