Projects / Apache Solr

Apache Solr

Solr is an enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g. Word and PDF) handling. 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.

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  •  22 Jul 2012 18:17

    Release Notes: A bugfix release for 3.6.0.

    •  13 Apr 2012 11:34

      Release Notes: This release improves auto-suggest, adds Japanese analysis, and improves clustering.

      •  01 Jul 2011 20:40

        Release Notes: This release adds grouping/field collapsing. It has improved autocomplete/suggest capabilities. It has switched to a more efficient default merge policy. Improved stemming capabilities for English.

        •  04 Jun 2011 17:42

          Release Notes: JSON update improvements were made. Search result clustering and UIMA integration were improved. Bugs were fixed.

          •  30 Mar 2011 22:51

            Release Notes: This is the first release since the Lucene/Solr merge and hence Solr's version number was bumped up to match Lucene (Solr 3.1 contains Lucene 3.1). Highlights include Numeric range facets, Spatial search, Velocity driven search UI at http://localhost:8983/solr/browse, a new termvector-based highlighter, an extended dismax (edismax) query parser, a new Auto Suggest component, the ability to sort by functions, JSON document indexing, CSV response format, and Apache UIMA integration for metadata extraction.

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