启用sphinx 全文搜索与实例
在编译安装 sphinx 的时候出现很多中文乱码,最后抛出错误卡住了。 我去到官方直接下载一个 rpm 包,安装就很爽。。。具体错误不想研究了。忙开发呢~~
安装两个包。一个是 mmseg 这个是生成中文字典的程序 一个是 csft 也就是中国版的sphinx
rpm -ivh 安装完以后。很顺利~~不到半分钟就装完了。。。
偷懒,中文字典库,我直接去 csft 官方下载了。挺好的想得很周到。。。
unigram.txt uni.lib
unigram.txt 字典文本,可以在里面添加你自己的关键字
然后使用
mmseg -u unigram.txt 生成字典文件:unigram.txt.uni 然后重命名一下 uni.lib 这个就是sphinx 认识的字典了。
放哪里? 放你在 sphinx.conf 里面配置的字典路径里面,等会说到
然后基本就差不多了
在看下sphinx 几个实用的程序
[root@beihai365 /]# csft-
csft-indexer csft-search csft-searchd
csft-indexer 是生成全文搜索索引的 程序
csft-search 是测试搜索是否生效用的,也很好用,不如我还没用客户端脚本开发,就可以用这个来查看全文搜索是否成功
csft-searchd 这个就是 sphinx 搜索的守护程序了。 启动以后,就可以用脚本 php python 等,开查询了。
就那么简单~~
在看下关键的两部分东西
sphinx.conf 配置文件
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source tmsgs
{
type = mysql
sql_host = localhost
sql_user = root
sql_pass = 1
sql_db = phpwind75sp3
sql_port = 3306 # optional, default is 3306
#sql_sock = /tmp/mysql3307.sock
sql_query_pre = SET NAMES gbk
sql_query = SELECT id,name,type,stock FROM pw_tools
#sql_attr_uint = id
sql_attr_uint = stock
}
index tmsgsindex
{
source = tmsgs
path = /var/mmseg/searchdata/beihai365
docinfo = extern
charset_type = zh_cn.gbk
#min_prefix_len = 0
#min_infix_len = 2
#ngram_len = 2
charset_dictpath = /var/mmseg/data
#min_prefix_len = 0
#min_infix_len = 0
#min_word_len = 2
}
indexer
{
mem_limit = 128M
}
searchd
{
#listen = 3312
log = /var/log/searchd.log
query_log = /var/log/query.log
read_timeout = 5
max_children = 30
pid_file = /var/log/searchd.pid
max_matches = 1000
#seamless_rotate = 1
#preopen_indexes = 0
#unlink_old = 1
}
source tmsgs
{
type = mysql
sql_host = localhost
sql_user = root
sql_pass = 1
sql_db = phpwind75sp3
sql_port = 3306 # optional, default is 3306
#sql_sock = /tmp/mysql3307.sock
sql_query_pre = SET NAMES gbk
sql_query = SELECT id,name,type,stock FROM pw_tools
#sql_attr_uint = id
sql_attr_uint = stock
}
index tmsgsindex
{
source = tmsgs
path = /var/mmseg/searchdata/beihai365
docinfo = extern
charset_type = zh_cn.gbk
#min_prefix_len = 0
#min_infix_len = 2
#ngram_len = 2
charset_dictpath = /var/mmseg/data
#min_prefix_len = 0
#min_infix_len = 0
#min_word_len = 2
}
indexer
{
mem_limit = 128M
}
searchd
{
#listen = 3312
log = /var/log/searchd.log
query_log = /var/log/query.log
read_timeout = 5
max_children = 30
pid_file = /var/log/searchd.pid
max_matches = 1000
#seamless_rotate = 1
#preopen_indexes = 0
#unlink_old = 1
}
再看一下 测试客户端代码
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header("Content-type:text/html;charset=utf-8");
include 'sphinxapi.php';
$cl = new SphinxClient();
$cl->SetServer('localhost',3312);
$cl->SetMatchMode(SPH_MATCH_ALL);
$cl->SetArrayResult(true);
$res = $cl->Query("名卡","*");
print_r($res);
?>
header("Content-type:text/html;charset=utf-8");
include 'sphinxapi.php';
$cl = new SphinxClient();
$cl->SetServer('localhost',3312);
$cl->SetMatchMode(SPH_MATCH_ALL);
$cl->SetArrayResult(true);
$res = $cl->Query("名卡","*");
print_r($res);
?>
“名卡”这个关键字是我自己手动在字典里面添加的。看是否能真的搜到
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Array
(
[error] =>
[warning] =>
[status] => 0
[fields] => Array
(
[0] => name
[1] => type
)
[attrs] => Array
(
[stock] => 1
)
[matches] => Array
(
[0] => Array
(
[id] => 8
[weight] => 1
[attrs] => Array
(
[stock] => 100
)
)
)
[total] => 1
[total_found] => 1
[time] => 0.018
[words] => Array
(
[名卡] => Array
(
[docs] => 1
[hits] => 1
)
)
)
Array
(
[error] =>
[warning] =>
[status] => 0
[fields] => Array
(
[0] => name
[1] => type
)
[attrs] => Array
(
[stock] => 1
)
[matches] => Array
(
[0] => Array
(
[id] => 8
[weight] => 1
[attrs] => Array
(
[stock] => 100
)
)
)
[total] => 1
[total_found] => 1
[time] => 0.018
[words] => Array
(
[名卡] => Array
(
[docs] => 1
[hits] => 1
)
)
)
完全没问题。搜索出来了。
几个关键的操作
[root@beihai365 /]# csft-searchd --stop 停止搜索守护
[root@beihai365 /]# csft-indexer --all 针对所有节点生成索引。你也可以针对某个节点生成索引比如:csft-indexer xx
[root@beihai365 /]# csft-search App 搜索关键字 App 。 不过看下面信息没有搜到和没有命中任何的文档。
Coreseek Full Text Server 3.1
Copyright (c) 2006-2008 coreseek.com
using config file './csft.conf'...
1,
pt:1, 1; index 'tmsgsindex': query 'App ': returned 0 matches of 0 total in 0.017 sec
words:
1. 'app': 0 documents, 0 hits
当大家在运行这些命令的时候发现,需要你自己手动的置顶 --config sphinx.conf 配置文件的路径。。很不方便。。
所以易做图脆 ln -s 一个在 ./ 。这样不用每次都去敲入 --config
补充:Php教程,Php与数据库