sphinx 快速使用

1. 建立配置文件 例可以参照之前的模板新建一个配置文件 sphinx/etc目录

   #MySQL数据源配置，详情请查看：http://www.coreseek.cn/products-install/mysql/
   #请先将var/test/documents.sql导入数据库，并配置好以下的MySQL用户密码数据库
   
   #源定义
   source mysql
   {
       type                    = mysql
   
       sql_host                = localhost
       sql_user                = root
       sql_pass                = 
       sql_db                    = test
       sql_port                = 3306
       sql_query_pre            = SET NAMES utf8
   
       sql_query                = SELECT id, group_id, UNIX_TIMESTAMP(date_added) AS date_added, title, content FROM documents
                                                                 #sql_query第一列id需为整数
                                                                 #title、content作为字符串/文本字段，被全文索引
       sql_attr_uint            = group_id             #从SQL读取到的值必须为整数
       sql_attr_timestamp        = date_added          #从SQL读取到的值必须为整数，作为时间属性
   
       sql_query_info_pre      = SET NAMES utf8                                        #命令行查询时，设置正确的字符集
       sql_query_info            = SELECT * FROM documents WHERE id=$id                #命令行查询时，从数据库读取原始数据信息
   }
   
   #index定义
   index mysql
   {
       source            = mysql                   #对应的source名称
       path            = C:wampappssphinxvar   #请修改为实际使用的绝对路径，例如：/usr/local/coreseek/var/...
       docinfo            = extern
       mlock            = 0
       morphology        = none
       min_word_len        = 1
       html_strip                = 0
   
       #中文分词配置，详情请查看：http://www.coreseek.cn/products-install/coreseek_mmseg/
       #charset_dictpath = /usr/local/mmseg3/etc/ #BSD、Linux环境下设置，/符号结尾
       charset_dictpath = C:wampappssphinxetc                        #Windows环境下设置，/符号结尾，最好给出绝对路径，例如：C:/usr/local/coreseek/etc/...
       charset_type        = zh_cn.utf-8
   }
   
   #全局index定义
   indexer
   {
       mem_limit            = 128M
   }
   
   #searchd服务定义
   searchd
   {
       listen                  =   9312
       read_timeout        = 5
       max_children        = 30
       max_matches            = 1000
       seamless_rotate        = 0
       preopen_indexes        = 0
       unlink_old            = 1
       pid_file = C:wampappssphinxvarlogsearchd_mysql.pid    #请修改为实际使用的绝对路径，例如：/usr/local/coreseek/var/...
       log = C:wampappssphinxvarlogsearchd_mysql.log         #请修改为实际使用的绝对路径，例如：/usr/local/coreseek/var/...
       query_log = C:wampappssphinxvarlogquery_mysql.log     #请修改为实际使用的绝对路径，例如：/usr/local/coreseek/var/...
       binlog_path =                                               #关闭binlog日志
   }

2. 把 searchd 服务安装成一个Windows服务:

   c:wampappssphinxin>searchd --install --config c:wampappssphinxetcsphinx_mysql.conf

　　　

　　　　Coreseek Fulltext 4.0 [ Sphinx 1.11-dev (r2540)]
　　　　Copyright (c) 2007-2011,
　　　　Beijing Choice Software Technologies Inc (http://www.coreseek.com)

　　　　Installing service...
　　　　Service 'searchd' installed succesfully.

　　　　这样 searchd 服务应该出现在“控制面板->系统管理->服务”的列表中了，但还没有被启动，因为在启动它之前，我们还需要做些配置并用indexer 建立索引 . 这些可以参考 快速入门教程.

　　3.建立索引

　　c:wampappssphinxin>indexer --all --config C:wampappssphinxetcsphinx.conf

　　

　　indexing index 'mysql'...
　　collected 3 docs, 0.0 MB
　　sorted 0.0 Mhits, 100.0% done
　　total 3 docs, 7545 bytes
　　total 0.026 sec, 287198 bytes/sec, 114.19 docs/sec
　　total 2 reads, 0.000 sec, 4.2 kb/call avg, 0.0 msec/call avg
　　total 9 writes, 0.000 sec, 2.2 kb/call avg, 0.0 msec/call avg

　　indexer 直接打入命令,可以查看,帮助选项

--config <file>         read configuration from specified file
                        (default is csft.conf)
--all                   reindex all configured indexes
--quiet                 be quiet, only print errors
--verbose               verbose indexing issues report
--noprogress            do not display progress
                        (automatically on if output is not to a tty)
--buildstops <output.txt> <N>
                        build top N stopwords and write them to given file
--buildfreqs            store words frequencies to output.txt
                        (used with --buildstops only)
--merge <dst-index> <src-index>
                        merge 'src-index' into 'dst-index'
                        'dst-index' will receive merge result
                        'src-index' will not be modified
--merge-dst-range <attr> <min> <max>
                        filter 'dst-index' on merge, keep only those documents
                        where 'attr' is between 'min' and 'max' (inclusive)
--merge-klists
--merge-killlists       merge src and dst kill-lists (default is to
                        apply src kill-list to dst index)
--dump-rows <FILE>      dump indexed rows into FILE

Examples:

　　4.进行索引

　　c:wampappssphinxin>search.exe -c c:wampappssphinxetcsphinx.conf twitter

　　指定配置文件,搜索twitter

　　5.集成到Php

<?php
/*
 * test sphinx
 */
include_once('sphinxapi.php');

$sp = new SphinxClient();

$sp ->SetServer('127.0.0.1',9312);  //connect server
$sp ->SetConnectTimeout(5);  //connection timeout
$sp ->SetLimits(0,10); //($min,$max)

$keywords = $_POST['kw']?trim($_POST['kw']):'';     //search keywords

$res = $sp ->Query($keywords,'*');   // *:all index name can use specific index
print_r($res);

返回结果如下,其中Matches数组是搜索到匹配的结果,其中key是搜索的的结果主键。

提取出key，使用in ，在连接数据库既可以取出匹配的结果。

Array
(
    [error] => 
    [warning] => 
    [status] => 0
    [fields] => Array
        (
            [0] => title
            [1] => content
        )

    [attrs] => Array
        (
            [group_id] => 1
            [date_added] => 2
        )

    [matches] => Array
        (
            [2] => Array
                (
                    [weight] => 2
                    [attrs] => Array
                        (
                            [group_id] => 3
                            [date_added] => 1270135548
                        )

                )

            [1] => Array
                (
                    [weight] => 1
                    [attrs] => Array
                        (
                            [group_id] => 2
                            [date_added] => 1270131607
                        )

                )

        )

    [total] => 2
    [total_found] => 2
    [time] => 0.001
    [words] => Array
        (
            [twitter] => Array
                (
                    [docs] => 2
                    [hits] => 5
                )

        )

)