欢迎您访问程序员文章站本站旨在为大家提供分享程序员计算机编程知识!
您现在的位置是: 首页  >  php教程

LNMP+sphinx实现大数据秒查

程序员文章站 2022-03-19 20:48:42
...
Sphinx是由俄罗斯人Andrew Aksyonoff开发的一个全文检索引擎。意图为其他应用提供高速、低空间占用、高结果 相关度的全文搜索功能。Sphinx可以非常容易的与SQL数据库和脚本语言集成。当前系统内置MySQL和PostgreSQL 数据库数据源的支持,也支持从标准输入读取特定格式 的XML数据。


Sphinx的特性如下:

a) 高速的建立索引(在当代CPU上,峰值性能可达到10 MB/秒);

b) 高性能的搜索(在2 – 4GB 的文本数据上,平均每次检索响应时间小于0.1秒);

c) 可处理海量数据(目前已知可以处理超过100 GB的文本数据, 在单一CPU的系统上可处理100 M 文档);

d) 提供了优秀的相关度算法,基于短语相似度和统计(BM25)的复合Ranking方法;

e) 支持分布式搜索;

f) 支持短语搜索

g) 提供文档摘要生成

h) 可作为MySQL的存储引擎提供搜索服务;

i) 支持布尔、短语、词语相似度等多种检索模式;

j) 文档支持多个全文检索字段(最大不超过32个);

k) 文档支持多个额外的属性信息(例如:分组信息,时间戳等);

l) 支持断词;


虽然mysql的MYISAM提供全文索引,但是性能却不敢让人恭维,另外数据库毕竟不是很善于做这样的事情,我们需要把这些活让给更适合的程序去做,减少数据库的压力。因此采用Sphinx来做mysql的全文索引工具是一个很好的选择。这个星期主要来学习这个这个工具的使用,下面将学习过程大致的记录一下,做个备忘,也希望能对学习这个工具的其他朋友有所启发。


安装sphinx

wget http://sphinxsearch.com/files/sphinx-2.2.11-release.tar.gz
tar -xf sphinx-2.2.11-release.tar.gz  && cd sphinx-2.2.11-release
./configure  --prefix=/usr/local/spinx --with-mysql
make && make install
ln -s /usr/local/mysql/lib/libmysqlclient.so.18 /usr/lib64/
libsphinxclient 安装(PHP模块需要)
cd api/libsphinxclient
./configure –prefix=/usr/local/sphinx
make &&  make install

2.安装php扩展

wget http://pecl.php.net/get/sphinx-1.3.0.tgz
tar zxf sphinx-1.3.3.tgz && cd sphinx-1.3.3
./configure --with-php-config=/usr/local/php/bin/php-config --with-sphinx=/usr/local/sphinx/
make &&  make install


3.创建配置文件

cp /usr/local/sphinx/etc/sphinx-min.conf.dist  /usr/local/sphinx/etc/sphinx.conf

#
# Minimal Sphinx configuration sample (clean, simple, functional)
#
 
source src1
{
        type                    = mysql
 
        sql_host                = localhost
        sql_user                = root
        sql_pass                = www.123
        sql_db                  = test
        sql_port                = 3306  # optional, default is 3306
 
        sql_query               = \
                SELECT id, group_id, UNIX_TIMESTAMP(date_added) AS date_added, title, content \
                FROM documents
 
        sql_attr_uint           = group_id
        sql_attr_timestamp      = date_added
}
 
 
index test1
{
        source                  = src1
        path                    = /usr/local/spinx/var/data/test1
}
 
 
indexer
{
        mem_limit               = 32M
}
 
 
searchd
{
        listen                  = 9312
        listen                  = 9306:mysql41
        log                     = /usr/local/spinx/var/log/searchd.log
        query_log               = /usr/local/spinx/var/log/query.log
        read_timeout            = 5
        max_children            = 30
        pid_file                = /usr/local/spinx/var/log/searchd.pid
        seamless_rotate         = 1
        preopen_indexes         = 1
        unlink_old              = 1
        workers                 = threads # for RT to work
        binlog_path             = /usr/local/spinx/var/data
}


4.创建索引并启动

/usr/local/spinx/bin/indexer  -c /usr/local/spinx/etc/sphinx.conf --all
/usr/local/spinx/bin/searchd  -c /usr/local/spinx/etc/sphinx.conf

5.查询验证

cd /root/sphinx-2.2.11-release/api
python test.py  test
DEPRECATED: Do not call this method or, even better, use SphinxQL instead of an API
Query 'test ' retrieved 3 of 3 matches in 0.000 sec
Query stats:
        'test' found 5 times in 3 documents
Matches:
1. doc_id=1, weight=2, group_id=1, date_added=2016-11-30 01:21:20
2. doc_id=2, weight=2, group_id=1, date_added=2016-11-30 01:21:20
3. doc_id=4, weight=1, group_id=2, date_added=2016-11-30 01:21:20


mysql> select * from documents;
+----+----------+-----------+---------------------+-----------------+---------------------------------------------------------------------------+
| id | group_id | group_id2 | date_added          | title           | content                                                                   |
+----+----------+-----------+---------------------+-----------------+---------------------------------------------------------------------------+
|  1 |        1 |         5 | 2016-11-30 01:21:20 | test one        | this is my test document number one. also checking search within phrases. |
|  2 |        1 |         6 | 2016-11-30 01:21:20 | test two        | this is my test document number two                                       |
|  3 |        2 |         7 | 2016-11-30 01:21:20 | another doc     | this is another group                                                     |
|  4 |        2 |         8 | 2016-11-30 01:21:20 | doc number four | this is to test groups                                                    |
+----+----------+-----------+---------------------+-----------------+---------------------------------------------------------------------------+
相关标签: LNMP