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Sphinx
来自开放百科 - 灰狐
(版本间的差异)
小 (→Features) |
小 (→安装) |
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第22行: | 第22行: | ||
* supports PostgreSQL natively. | * supports PostgreSQL natively. | ||
− | == | + | ==链接== |
− | + | *[http://www-128.ibm.com/developerworks/cn/opensource/os-php-sphinxsearch/ 用 PHP 构建自定义搜索引擎]: 使用 Sphinx 索引内容、快速查找文本并提供有用的搜索结果 | |
− | + | *[http://blog.s135.com/read.php?360 基于Sphinx+MySQL的千万级数据全文检索(搜索引擎)架构设计] | |
− | [http://www-128.ibm.com/developerworks/cn/opensource/os-php-sphinxsearch/ 用 PHP 构建自定义搜索引擎]: 使用 Sphinx 索引内容、快速查找文本并提供有用的搜索结果 | + | |
− | + | ||
− | [http://blog.s135.com/read.php?360 基于Sphinx+MySQL的千万级数据全文检索(搜索引擎)架构设计] | + | |
==Links== | ==Links== |
2014年7月15日 (二) 15:08的版本
您可以在Wikipedia上了解到此条目的英文信息 Sphinx Thanks, Wikipedia. |
Sphinx: Free open-source SQL full-text search engine
Features
- high indexing speed (upto 10 MB/sec on modern CPUs);
- high search speed (avg query is under 0.1 sec on 2-4 GB text collections);
- high scalability (upto 100 GB of text, upto 100 M documents on a single CPU);
- provides good relevance ranking through combination of phrase proximity ranking and statistical (BM25) ranking;
- provides distributed searching capabilities;
- provides document exceprts generation;
- provides searching from within MySQL through pluggable storage engine;
- supports boolean, phrase, and word proximity queries;
- supports multiple full-text fields per document (upto 32 by default);
- supports multiple additional attributes per document (ie. groups, timestamps, etc);
- supports stopwords;
- supports both single-byte encodings and UTF-8;
- supports English stemming, Russian stemming, and Soundex for morphology;
- supports MySQL natively (MyISAM and InnoDB tables are both supported);
- supports PostgreSQL natively.
链接
- 用 PHP 构建自定义搜索引擎: 使用 Sphinx 索引内容、快速查找文本并提供有用的搜索结果
- 基于Sphinx+MySQL的千万级数据全文检索(搜索引擎)架构设计
Links
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