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Understanding & Visualising Solr 'explain' Information

12.08.2011
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Understanding & Visualising Solr 'explain' Information, Rafal Kuc, Solr.pl, Eurocon 2011 from Lucene Revolution on Vimeo.

This talk and presentation by Rafal Kuc, a DZone MVB, is about how to use, understand and visualize Solr 'explain' information—essential output from Solr that lets you better tune and debug your search application. In the talk, I'll show the free software that is in development right now, that visualize Solr 'explain' information, such as how the score of the documents were counted, from what it is taken, how it was counted,which tokens mattered the most, and so on.

Download session slides.

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John David replied on Wed, 2012/01/25 - 7:05pm

Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites.

Solr is written in Java and runs as a standalone full-text search server within a servlet container such as Tomcat. Solr uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it easy to use from virtually any programming language. Solr's powerful external configuration allows it to be tailored to almost any type of application without Java coding, and it has an extensive plugin architecture when more advanced customization is required.

new java

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