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Sphinx
来自开放百科 - 灰狐
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| − | {{SeeWikipedia}} | + | {{SeeWikipedia|Sphinx (search engine)}} |
| + | ==简介== | ||
[[Image:sphinx.jpg|right]] | [[Image:sphinx.jpg|right]] | ||
Sphinx: Free open-source SQL full-text search engine | Sphinx: Free open-source SQL full-text search engine | ||
| − | == | + | [https://github.com/manticoresoftware/manticoresearch/ Manticore Search] was created in 2017 as a continuation of Sphinx Search engine. |
| + | |||
| + | ==功能== | ||
* high indexing speed (upto 10 MB/sec on modern CPUs); | * 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 search speed (avg query is under 0.1 sec on 2-4 GB text collections); | ||
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* supports PostgreSQL natively. | * supports PostgreSQL natively. | ||
| − | + | ==指南== | |
| + | |||
| + | ==项目== | ||
| + | |||
| + | ==文档== | ||
| + | |||
| + | ==图集== | ||
| − | [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] | + | ==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.sphinxsearch.com | *http://www.sphinxsearch.com | ||
*http://download.huihoo.com/sphinx/ | *http://download.huihoo.com/sphinx/ | ||
*http://docs.huihoo.com/sphinx/ | *http://docs.huihoo.com/sphinx/ | ||
| − | [[ | + | [[category:search engine]] |
| + | [[category:c++]] | ||
2025年1月30日 (四) 09:18的最后版本
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您可以在Wikipedia上了解到此条目的英文信息 Sphinx Thanks, Wikipedia. |
目录 |
[编辑] 简介
Sphinx: Free open-source SQL full-text search engine
Manticore Search was created in 2017 as a continuation of Sphinx Search engine.
[编辑] 功能
- 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.
[编辑] 指南
[编辑] 项目
[编辑] 文档
[编辑] 图集
[编辑] 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
- http://www.sphinxsearch.com
- http://download.huihoo.com/sphinx/
- http://docs.huihoo.com/sphinx/
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