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项目描述

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.

系统要求

System requirement is not defined
Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.

2011-07-02 05:40
3.3.0

这个版本增加了分组/场崩溃。它提高了自动完成/建议的能力。它切换到一个更有效的默认合并的政策。改进所产生的英语能力。
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.

2011-06-05 02:42
3.2.0

JSON的更新改进。搜索结果聚类和UIMA的整合得到了改善。错误是固定的。
JSON update improvements were made. Search result clustering and UIMA integration were improved. Bugs were fixed.

2011-03-31 07:51
3.1.0

这是自了Lucene / Solr的合并,因此Solr的版本号是Lucene的颠簸匹配(Lucene的Solr的3.1包含3.1)的第一个版本。重点展品包括数字范围方面,空间搜索,搜索速度驱动的http://localhost:8983/solr/browse用户界面,一个新的termvector的荧光笔,扩展dismax(edismax)查询分析器,一个新的自动推荐组件的能力按职能分类,JSON文档索引,响应的CSV格式,元数据提取阿帕奇UIMA的整合。
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.

Project Resources