PHP搜索优化 sphinx

# 配置数据源
source src1
{
    type            = mysql
    sql_host        = localhsot
    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_attr_uint        = group_id
    sql_attr_timestamp    = date_added
    sql_ranged_throttle    = 0
}

source src1throttled : src1
{
    sql_ranged_throttle    = 100
}

# 配置数据源生成的索引文件存放的位置
index test1
{
    source            = src1
    path            = D:/sphinx/data/test1　　# 注意此处包含生成的文件路径和名称。会在data目录下生成test1.***格式的文件
    charset_table     = 0..9, A..Z->a..z, _, a..z, U+410..U+42F->U+430..U+44F, U+430..U+44F
    docinfo            = extern
    dict            = keywords
    mlock            = 0
    morphology        = none
    min_word_len    = 1
    ngram_len        = 1
    ngram_chars        = U+3000..U+2FA1F
    html_strip        = 0
}
 
indexer
{
    mem_limit        = 128M
}

# 配置Sphinx服务器的信息
searchd
{
    listen            = 9312
    listen            = 9306:mysql41
    log                = D:/sphinx/log/searchd.log
    query_log        = D:/sphinx/log/query.log
    read_timeout        = 5
    client_timeout        = 300
    max_children        = 30
    persistent_connections_limit    = 30
    pid_file            = D:/sphinx/log/searchd.pid
    preopen_indexes        = 1
    unlink_old            = 1
    mva_updates_pool    = 1M
    max_packet_size        = 8M
    max_filters            = 256
    max_filter_values    = 4096
    max_batch_queries    = 32
    workers                = threads 

　　# windows下启动searchd服务一定要注释掉这个
 　　# seamless_rotate  = 1

}

indexer.exe test1

searchd.exe --pidfile

或者

searchd

@echo off 
d: 
cd\sphinx/bin
searchd

require(‘sphinxapi.php‘);

extension=php_sphinx.dll

<?php

　# 如果php中安装了sphinx.dll拓展，则不需要这一行代码
　require(‘sphinxapi.php‘);

$keyword = ‘test‘;
$sphinx = new SphinxClient;
$sphinx->setServer("localhost", 9312);
$sphinx->setMatchMode(SPH_MATCH_ANY);   //匹配模式 ANY为关键词自动拆词，ALL为不拆词匹配（完全匹配）
$sphinx->SetArrayResult ( true );    //返回的结果集为数组
$result = $sphinx->query($keyword,"test1");    //星号为所有索引源
$count=$result[‘total‘];        //查到的结果条数
$time=$result[‘time‘];            //耗时
$arr=$result[‘matches‘];        //结果集
$id=‘‘;
for($i=0;$i<$count;$i++){
    $id.=$arr[$i][‘id‘].‘,‘;
}
$id=substr($id,0,-1);            //结果集的id字符串

echo $id;

<?php
# 如果php中安装了sphinx.dll拓展，则不需要这一行代码
　require(‘sphinxapi.php‘);

$keyword = ‘test‘;
$sphinx = new SphinxClient();
$sphinx->SetServer(‘localhost‘,9312);
$sphinx->setMatchMode(SPH_MATCH_ANY);//匹配模式 SPH_MATCH_ALL：完全匹配
$result = $sphinx->query($keyword,‘*‘);//*表示在所有索引里面进行搜索
$ids = implode(‘,‘,array_keys($result[‘matches‘]));

$conn = mysqli_connect(‘localhost‘,‘root‘,‘‘);
mysqli_query($conn,‘set names utf8‘);
mysqli_select_db($conn,‘test‘);

$sql = "select * from documents where id in (".$ids.")";
$rst = mysqli_query($conn,$sql);
//给匹配关键字添加样式
$opts = array(
    ‘before_match‘=>‘<font style="font-weight:bold;color:#f00;">‘,
    ‘after_match‘=>‘</font>‘
);
echo ‘<pre>‘;
while($row = mysqli_fetch_assoc($rst)){
    $row2 = $sphinx->buildExcerpts($row,‘test1‘,$keyword,$opts);//test1 配置文件中的主数据源索引
    print_r($row2);
}