sphinx 在linux 系统的安装

Posted 2020-07-07 secretgao

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1.到官网下载源代码安装，你也可以根据系统直接下载rpm包安装

本人系统：

[root@web-01 ~]# cat /proc/version
Linux version 2.6.32-573.22.1.el6.x86_64 (mockbuild@c6b8.bsys.dev.centos.org) (gcc version 4.4.7 20120313 (Red Hat 4.4.7-16) (GCC) ) #1 SMP Wed Mar 23 03:35:39 UTC 2016

我们这里选择源码安装

下载完之后放到目录/home下版本是sphinx-2.2.10

2.解压>>:tar -xzvf sphinx-2.2.10-release.tar.gz

>>:mv sphinx-2.2.10-release sphinx 给文件夹重命名

>>:cd sphinx 进入目录

>>:./configure --prefix=/usr/local/sphinx

>>:make 编译

make install 编译安装

cd /usr/local/sphinx/etc/

mv sphinx-min.conf.dist sphinx.conf

vim sphinx.conf

下面是里面的内容配置

#
# Minimal Sphinx configuration sample (clean, simple, functional)
#

source src1
{
type = MySQL

sql_host = 127.0.0.1
sql_user = root
sql_pass =
sql_db = test //数据库name
sql_port = 3306 # optional, default is 3306

sql_query = \\
SELECT id, realname,import_id, account, source ,UNIX_TIMESTAMP(import_time) AS import_timestamp \\
FROM contact_list_test

sql_attr_uint = id
sql_attr_timestamp= import_timestamp
}

index test1
{
source = src1
path = /usr/local/sphinx/var/data/test1
}

index testrt
{
type = rt
rt_mem_limit = 128M

path = /usr/local/sphinx/var/data/testrt

rt_field = title
rt_field = content
rt_attr_uint = gid
}

indexer
{
mem_limit = 128M
}

searchd
{
listen = 9312
listen = 9306:mysql41
log = /usr/local/sphinx/var/log/searchd.log
query_log = /usr/local/sphinx/var/log/query.log
read_timeout = 5
max_children = 30
pid_file = /usr/local/sphinx/var/log/searchd.pid
seamless_rotate= 1
preopen_indexes= 1
unlink_old = 1
workers = threads # for RT to work
binlog_path = /usr/local/sphinx/var/data
}

生成索引

cd /usr/local/sphinx/bin

./indexer -c /usr/local/sphinx/etc/sphinx.conf --all

如果此时出现以下错误，

FATAL: failed to lock /usr/local/sphinx/var/data/test1.spl: Resource temporarily unavailable, will not index. Try --rotate option.

请改用命令

./indexer -c /usr/local/sphinx/etc/sphinx.conf --all --rotate

启动spinx搜索服务器:./searchd -c /usr/local/sphinx/etc/sphinx.conf

如果报错:
/usr/local/sphinx/bin/indexer:error while loading shared libraries:libmysqlclient.so.18 cannot opent shared object file: No such file or directory
这主要是因为你安装库后,没有配置相应的环境变量.可以通过连接修正这个问题
ln -s /usr/local/mysql/lib/libmysqlclient.so.18 /usr/lib/libmysqlclient.so.18
对于64bit Linux，命令为:
ln -s /usr/local/mysql/lib/libmysqlclient.so.18 /usr/lib64/libmysqlclient.so.18

然后再重试.

使用sphinx php api测试：

[php] view plain copy print ?

<?php
require ( "sphinxapi.php" ); //此文件在sphinx源代码的api文件夹中可以找到
$cl = new SphinxClient ();
$q = "weibo";
$sql = "test1";
$mode = SPH_MATCH_ALL;
$host = "localhost";
$port = 9312;
$index = "*";
// $groupby = "";
// $groupsort = "@group desc";
// $filter = "group_id";
// $filtervals = array();
// $distinct = "";
// $sortby = "";
// $sortexpr = "";
// $limit = 20;
// $ranker = SPH_RANK_PROXIMITY_BM25;
// $select = "";
$cl->SetServer ( $host, $port );
$cl->SetConnectTimeout ( 1 );
$cl->SetArrayResult ( true );
$cl->SetMatchMode ( $mode );
// if ( count($filtervals) ) $cl->SetFilter ( $filter, $filtervals );
// if ( $groupby ) $cl->SetGroupBy ( $groupby, SPH_GROUPBY_ATTR, $groupsort );
// if ( $sortby ) $cl->SetSortMode ( SPH_SORT_EXTENDED, $sortby );
// if ( $sortexpr ) $cl->SetSortMode ( SPH_SORT_EXPR, $sortexpr );
// if ( $distinct ) $cl->SetGroupDistinct ( $distinct );
// if ( $select ) $cl->SetSelect ( $select );
// if ( $limit ) $cl->SetLimits ( 0, $limit, ( $limit>1000 ) ? $limit : 1000 );
//$cl->SetRankingMode ( $ranker );
$res = $cl->Query ( $q, $index );
////////////////
// print me out
////////////////
if ( $res===false )
{
print "Query failed: " . $cl->GetLastError() . ". ";
} else
{
if ( $cl->GetLastWarning() )
print "WARNING: " . $cl->GetLastWarning() . " ";
print "Query \'$q\' retrieved $res[total] of $res[total_found] matches in $res[time] sec. ";
print "Query stats: ";
if ( is_array($res["words"]) )
foreach ( $res["words"] as $word => $info )
print " \'$word\' found $info[hits] times in $info[docs] documents\\n";
print " ";
if ( is_array($res["matches"]) )
{
$n = 1;
print "Matches: ";
foreach ( $res["matches"] as $docinfo )
{
print "$n. doc_id=$docinfo[id], weight=$docinfo[weight]";
foreach ( $res["attrs"] as $attrname => $attrtype )
{
$value = $docinfo["attrs"][$attrname];
if ( $attrtype==SPH_ATTR_MULTI || $attrtype==SPH_ATTR_MULTI64 )
{
$value = "(" . join ( ",", $value ) .")";
} else
{
if ( $attrtype==SPH_ATTR_TIMESTAMP )
$value = date ( "Y-m-d H:i:s", $value );
}
print ", $attrname=$value";
}
print " ";
$n++;
}
}
}
//
// $Id$
//
?>

打印的结果:

Query \'weibo\' retrieved 1000 of 3873 matches in 0.001 sec.
Query stats:
\'weibo\' found 3873 times in 3873 documents
Matches:
1. doc_id=1, weight=1, import_timestamp=2015-06-26 16:25:41
2. doc_id=4, weight=1, import_timestamp=2015-06-26 16:25:41
3. doc_id=5, weight=1, import_timestamp=2015-06-26 16:25:41
4. doc_id=6, weight=1, import_timestamp=2015-06-26 16:25:41
5. doc_id=8, weight=1, import_timestamp=2015-06-26 16:25:41
6. doc_id=9, weight=1, import_timestamp=2015-06-26 16:25:41
7. doc_id=10, weight=1, import_timestamp=2015-06-26 16:25:41
8. doc_id=11, weight=1, import_timestamp=2015-06-26 16:25:41
9. doc_id=12, weight=1, import_timestamp=2015-06-26 16:25:41
10. doc_id=13, weight=1, import_timestamp=2015-06-26 16:25:41
11. doc_id=14, weight=1, import_timestamp=2015-06-26 16:25:41
12. doc_id=15, weight=1, import_timestamp=2015-06-26 16:25:41
13. doc_id=16, weight=1, import_timestamp=2015-06-26 16:25:41
14. doc_id=17, weight=1, import_timestamp=2015-06-26 16:25:41
15. doc_id=18, weight=1, import_timestamp=2015-06-26 16:25:41
16. doc_id=19, weight=1, import_timestamp=2015-06-26 16:25:41
17. doc_id=20, weight=1, import_timestamp=2015-06-26 16:25:41
18. doc_id=21, weight=1, import_timestamp=2015-06-26 16:25:41
19. doc_id=22, weight=1, import_timestamp=2015-06-26 16:25:41
20. doc_id=23, weight=1, import_timestamp=2015-06-26 16:25:41

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