php+中文分词scws+sphinx+mysql打造千万级数据全文搜索

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创建索引的速度为:创建100万条记录的索引只需3~4分钟,创建1000万条记录的索引可以在50分钟内完成,而只包含最新10万条记录的增量索引,重建一次只需几十秒。
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

开始搭建

系统环境:centos6.5+php5.6+apache+MySQL

1、安装依赖包

yum -y install make gcc g++ gcc-c++ libtool autoconf automake imake php-devel mysql-devel libxml2-devel expat-devel 

2、安装Sphinx

yum install expat expat-develwget -c http://sphinxsearch.com/files/sphinx-2.0.7-release.tar.gztar zxvf sphinx-2.0.7-release.tar.gzcd sphinx-2.0.7-release./configure --prefix=/usr/local/sphinx --with-mysql --with-libexpat --enable-id64make && make install

3、安装libsphinxclient,php扩展用到

cd api/libsphinxclient./configure --prefix=/usr/local/sphinx/libsphinxclientmake && make install

4、安装Sphinx的PHP扩展:我的是5.6需装sphinx-1.3.3.tgz,如果是php5.4以下可sphinx-1.3.0.tgz

wget -c http://pecl.php.net/get/sphinx-1.3.3.tgztar zxvf sphinx-1.3.3.tgzcd sphinx-1.3.3phpize./configure --with-sphinx=/usr/local/sphinx/libsphinxclient/ --with-php-config=/usr/bin/php-configmake && make install成功后会提示:Installing shared extensions:     /usr/lib64/php/modules/echo "[Sphinx]" >> /etc/php.iniecho "extension = sphinx.so" >> /etc/php.ini#重启apacheservice httpd restart

5、创建测试数据

CREATE TABLE IF NOT EXISTS `items` ( `id` int(11) NOT NULL AUTO_INCREMENT, `title` varchar(255) NOT NULL, `content` text NOT NULL, `created` datetime NOT NULL, PRIMARY KEY (`id`)) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='全文检索测试的数据表' AUTO_INCREMENT=11 ;INSERT INTO `items` (`id`, `title`, `content`, `created`) VALUES(1, 'linux mysql集群安装', 'MySQL Cluster 是MySQL 适合于分布式计算环境的高实用、可拓展、高性能、高冗余版本', '2016-09-07 00:00:00'),(2, 'mysql主从复制', 'mysql主从备份(复制)的基本原理 mysql支持单向、异步复制,复制过程中一个服务器充当主服务器,而一个或多个其它服务器充当从服务器', '2016-09-06 00:00:00'),(3, 'hello', 'can you search me?', '2016-09-05 00:00:00'),(4, 'mysql', 'mysql is the best database?', '2016-09-03 00:00:00'),(5, 'mysql索引', '关于MySQL索引的好处,如果正确合理设计并且使用索引的MySQL是一辆兰博基尼的话,那么没有设计和使用索引的MySQL就是一个人力三轮车', '2016-09-01 00:00:00'),(6, '集群', '关于MySQL索引的好处,如果正确合理设计并且使用索引的MySQL是一辆兰博基尼的话,那么没有设计和使用索引的MySQL就是一个人力三轮车', '0000-00-00 00:00:00'),(9, '复制原理', 'redis也有复制', '0000-00-00 00:00:00'),(10, 'redis集群', '集群技术是构建高性能网站架构的重要手段,试想在网站承受高并发访问压力的同时,还需要从海量数据中查询出满足条件的数据,并快速响应,我们必然想到的是将数据进行切片,把数据根据某种规则放入多个不同的服务器节点,来降低单节点服务器的压力', '0000-00-00 00:00:00');CREATE TABLE IF NOT EXISTS `sph_counter` ( `counter_id` int(11) NOT NULL, `max_doc_id` int(11) NOT NULL, PRIMARY KEY (`counter_id`)) ENGINE=MyISAM DEFAULT CHARSET=utf8 COMMENT='增量索引标示的计数表';

以下采用"Main + Delta" ("主索引"+"增量索引")的索引策略,使用Sphinx自带的一元分词。

6、Sphinx配置:注意修改数据源配置信息

vi /usr/local/sphinx/etc/sphinx.confsource items { type = mysql sql_host = localhost sql_user = root sql_pass = 123456 sql_db = sphinx_items sql_query_pre = SET NAMES utf8 sql_query_pre = SET SESSION query_cache_type = OFF sql_query_pre = REPLACE INTO sph_counter SELECT 1, MAX(id) FROM items sql_query_range = SELECT MIN(id), MAX(id) FROM items \ WHERE id<=(SELECT max_doc_id FROM sph_counter WHERE counter_id=1) sql_range_step = 1000 sql_ranged_throttle = 1000 sql_query = SELECT id, title, content, created, 0 as deleted FROM items \ WHERE id<=(SELECT max_doc_id FROM sph_counter WHERE counter_id=1) \ AND id >= $start AND id <= $end sql_attr_timestamp = created sql_attr_bool = deleted}source items_delta : items { sql_query_pre = SET NAMES utf8 sql_query_range = SELECT MIN(id), MAX(id) FROM items \ WHERE id > (SELECT max_doc_id FROM sph_counter WHERE counter_id=1) sql_query = SELECT id, title, content, created, 0 as deleted FROM items \ WHERE id>( SELECT max_doc_id FROM sph_counter WHERE counter_id=1 ) \ AND id >= $start AND id <= $end sql_query_post_index = set @max_doc_id :=(SELECT max_doc_id FROM sph_counter WHERE counter_id=1) sql_query_post_index = REPLACE INTO sph_counter SELECT 2, IF($maxid, $maxid, @max_doc_id)}#主索引index items { source = items path = /usr/local/sphinx/var/data/items docinfo = extern morphology = none min_word_len = 1 min_prefix_len = 0 html_strip = 1 html_remove_elements = style, script ngram_len = 1 ngram_chars = U+3000..U+2FA1F charset_type = utf-8 charset_table = 0..9, A..Z->a..z, _, a..z, U+410..U+42F->U+430..U+44F, U+430..U+44F preopen = 1 min_infix_len = 1}#增量索引index items_delta : items { source = items_delta path = /usr/local/sphinx/var/data/items-delta}#分布式索引index master { type = distributed local = items local = items_delta}indexer { mem_limit = 256M}searchd { listen = 9312 listen = 9306:mysql41 #Used for SphinxQL log = /usr/local/sphinx/var/log/searchd.log query_log = /usr/local/sphinx/var/log/query.log compat_sphinxql_magics = 0 attr_flush_period = 600 mva_updates_pool = 16M read_timeout = 5 max_children = 0 dist_threads = 2 pid_file = /usr/local/sphinx/var/log/searchd.pid max_matches = 1000 seamless_rotate = 1 preopen_indexes = 1 unlink_old = 1 workers = threads # for RT to work binlog_path = /usr/local/sphinx/var/data }

 

保存退出

7、Sphinx创建索引

#第一次需重建索引:[root@localhost bin]# ./indexer -c /usr/local/sphinx/etc/sphinx.conf --allSphinx 2.0.7-id64-release (r3759)Copyright (c) 2001-2012, Andrew AksyonoffCopyright (c) 2008-2012, Sphinx Technologies Inc (http://sphinxsearch.com)using config file '/usr/local/sphinx/etc/sphinx.conf'...indexing index 'items'...collected 8 docs, 0.0 MBsorted 0.0 Mhits, 100.0% donetotal 8 docs, 1121 bytestotal 1.017 sec, 1101 bytes/sec, 7.86 docs/secindexing index 'items_delta'...collected 0 docs, 0.0 MBtotal 0 docs, 0 bytestotal 1.007 sec, 0 bytes/sec, 0.00 docs/secskipping non-plain index 'master'...total 4 reads, 0.000 sec, 0.7 kb/call avg, 0.0 msec/call avgtotal 14 writes, 0.001 sec, 0.5 kb/call avg, 0.1 msec/call avg#启动sphinx[root@localhost bin]# ./searchd -c /usr/local/sphinx/etc/sphinx.confSphinx 2.0.7-id64-release (r3759)Copyright (c) 2001-2012, Andrew AksyonoffCopyright (c) 2008-2012, Sphinx Technologies Inc (http://sphinxsearch.com)using config file '/usr/local/sphinx/etc/sphinx.conf'...listening on all interfaces, port=9312listening on all interfaces, port=9306precaching index 'items'precaching index 'items_delta'rotating index 'items_delta': successprecached 2 indexes in 0.012 sec#查看进程[root@localhost bin]# ps -ef | grep searchdroot 30431 1 0 23:59 ? 00:00:00 ./searchd -c /usr/local/sphinx/etc/sphinx.confroot 30432 30431 0 23:59 ? 00:00:00 ./searchd -c /usr/local/sphinx/etc/sphinx.confroot 30437 1490 0 23:59 pts/0 00:00:00 grep searchd#停止Searchd:./searchd -c /usr/local/sphinx/etc/sphinx.conf --stop#查看Searchd状态:./searchd -c /usr/local/sphinx/etc/sphinx.conf --status

 

索引更新及使用说明
"增量索引"每N分钟更新一次.通常在每天晚上低负载的时进行一次索引合并,同时重新建立"增量索引"。当然"主索引"数据不多的话,也可以直接重新建立"主索引"。
API搜索的时,同时使用"主索引"和"增量索引",这样可以获得准实时的搜索数据.本文的Sphinx配置将"主索引"和"增量索引"放到分布式索引master中,因此只需查询分布式索引"master"即可获得全部匹配数据(包括最新数据)。

索引的更新与合并的操作可以放到cron job完成:

crontab -e*/1 * * * * /usr/local/sphinx/shell/delta_index_update.sh0 3 * * * /usr/local/sphinx/shell/merge_daily_index.shcrontab -l

 

cron job所用的shell脚本例子:

delta_index_update.sh:

#!/bin/bash/usr/local/sphinx/bin/indexer -c /usr/local/sphinx/etc/sphinx.conf --rotate items_delta > /dev/null 2>&1

merge_daily_index.sh:

#!/bin/bashindexer=`which indexer`mysql=`which mysql`QUERY="use sphinx_items;select max_doc_id from sph_counter where counter_id = 2 limit 1;"index_counter=$($mysql -h192.168.1.198 -uroot -p123456 -sN -e "$QUERY")#merge "main + delta" indexes$indexer -c /usr/local/sphinx/etc/sphinx.conf --rotate --merge items items_delta --merge-dst-range deleted 0 0 >> /usr/local/sphinx/var/index_merge.log 2>&1if [ "$?" -eq 0 ]; then ##update sphinx counter if [ ! -z $index_counter ]; then $mysql -h192.168.1.198 -uroot -p123456 -Dsphinx_items -e "REPLACE INTO sph_counter VALUES (1, '$index_counter')" fi ##rebuild delta index to avoid confusion with main index $indexer -c /usr/local/sphinx/etc/sphinx.conf --rotate items_delta >> /usr/local/sphinx/var/rebuild_deltaindex.log 2>&1fi

8、php中文分词scws安装:注意扩展的版本和php的版本

wget -c http://www.xunsearch.com/scws/down/scws-1.2.3.tar.bz2tar jxvf scws-1.2.3.tar.bz2cd scws-1.2.3./configure --prefix=/usr/local/scwsmake && make install

9、scws的PHP扩展安装:

cd ./phpextphpize ./configuremake && make installecho "[scws]" >> /etc/php.iniecho "extension = scws.so" >> /etc/php.iniecho "scws.default.charset = utf-8" >> /etc/php.iniecho "scws.default.fpath = /usr/local/scws/etc/" >> /etc/php.ini

10、词库安装:

wget http://www.xunsearch.com/scws/down/scws-dict-chs-utf8.tar.bz2tar jxvf scws-dict-chs-utf8.tar.bz2 -C /usr/local/scws/etc/chown www:www /usr/local/scws/etc/dict.utf8.xdb

11、php使用Sphinx+scws测试例子
在Sphinx源码API中,有好几种语言的API调用.其中有一个是sphinxapi.php。
不过以下的测试使用的是Sphinx的PHP扩展.具体安装见本文开头的Sphinx安装部分。
测试用的搜索类Search.php:注意修改getDBConnection()信息为自己的

<?phpclass Search { /** * @var SphinxClient **/ protected $client; /** * @var string **/ protected $keywords; /** * @var resource **/ private static $dbconnection = null; /** * Constructor **/ public function __construct($options = array()) { $defaults = array( 'query_mode' => SPH_MATCH_EXTENDED2, 'sort_mode' => SPH_SORT_EXTENDED, 'ranking_mode' => SPH_RANK_PROXIMITY_BM25, 'field_weights' => array(), 'max_matches' => 1000, 'snippet_enabled' => true, 'snippet_index' => 'items', 'snippet_fields' => array(), ); $this->options = array_merge($defaults, $options); $this->client = new SphinxClient(); //$this->client->setServer("192.168.1.198", 9312); $this->client->setMatchMode($this->options['query_mode']); if ($this->options['field_weights'] !== array()) { $this->client->setFieldWeights($this->options['field_weights']); } /* if ( in_array($this->options['query_mode'], [SPH_MATCH_EXTENDED2,SPH_MATCH_EXTENDED]) ) { $this->client->setRankingMode($this->options['ranking_mode']); } */ } /** * Query * * @param string $keywords * @param integer $offset * @param integer $limit * @param string $index * @return array **/ public function query($keywords, $offset = 0, $limit = 10, $index = '*') { $this->keywords = $keywords; $max_matches = $limit > $this->options['max_matches'] ? $limit : $this->options['max_matches']; $this->client->setLimits($offset, $limit, $max_matches); $query_results = $this->client->query($keywords, $index); if ($query_results === false) { $this->log('error:' . $this->client->getLastError()); } $res = []; if ( empty($query_results['matches']) ) { return $res; } $res['total'] = $query_results['total']; $res['total_found'] = $query_results['total_found']; $res['time'] = $query_results['time']; $doc_ids = array_keys($query_results['matches']); unset($query_results); $res['data'] = $this->fetch_data($doc_ids); if ($this->options['snippet_enabled']) { $this->buildExcerptRows($res['data']); } return $res; } /** * custom sorting * * @param string $sortBy * @param int $mode * @return bool **/ public function setSortBy($sortBy = '', $mode = 0) { if ($sortBy) { $mode = $mode ?: $this->options['sort_mode']; $this->client->setSortMode($mode, $sortBy); } else { $this->client->setSortMode(SPH_SORT_RELEVANCE); } } /** * fetch data based on matched doc_ids * * @param array $doc_ids * @return array **/ protected function fetch_data($doc_ids) { $ids = implode(',', $doc_ids); $queries = self::getDBConnection()->query("SELECT * FROM items WHERE id in ($ids)", PDO::FETCH_ASSOC); return iterator_to_array($queries); } /** * build excerpts for data * * @param array $rows * @return array **/ protected function buildExcerptRows(&$rows) { $options = array( 'before_match' => '<b style="color:red">', 'after_match' => '</b>', 'chunk_separator' => '...', 'limit' => 256, 'around' => 3, 'exact_phrase' => false, 'single_passage' => true, 'limit_words' => 5, ); $scount = count($this->options['snippet_fields']); foreach ($rows as &$row) { foreach ($row as $fk => $item) { if (!is_string($item) || ($scount && !in_array($fk, $this->options['snippet_fields'])) ) continue; $item = preg_replace('/[\r\t\n]+/', '', strip_tags($item)); $res = $this->client->buildExcerpts(array($item), $this->options['snippet_index'], $this->keywords, $options); $row[$fk] = $res === false ? $item : $res[0]; } } return $rows; } /** * database connection * * @return resource **/ private static function getDBConnection() { $dsn = 'mysql:host=192.168.1.198;dbname=sphinx_items'; $user = 'root'; $pass = '123456'; if (!self::$dbconnection) { try { self::$dbconnection = new PDO($dsn, $user, $pass); } catch (PDOException $e) { die('Connection failed: ' . $e->getMessage()); } } return self::$dbconnection; } /** * Chinese words segmentation * **/ public function wordSplit($keywords) { $fpath = ini_get('scws.default.fpath'); $so = scws_new(); $so->set_charset('utf-8'); $so->add_dict($fpath . '/dict.utf8.xdb'); //$so->add_dict($fpath .'/custom_dict.txt', SCWS_XDICT_TXT); $so->set_rule($fpath . '/rules.utf8.ini'); $so->set_ignore(true); $so->set_multi(false); $so->set_duality(false); $so->send_text($keywords); $words = []; $results = $so->get_result(); foreach ($results as $res) { $words[] = '(' . $res['word'] . ')'; } $words[] = '(' . $keywords . ')'; return join('|', $words); } /** * get current sphinx client * * @return resource **/ public function getClient() { return $this->client; } /** * log error **/ public function log($msg) { // log errors here //echo $msg; } /** * magic methods **/ public function __call($method, $args) { $rc = new ReflectionClass('SphinxClient'); if ( !$rc->hasMethod($method) ) { throw new Exception('invalid method :' . $method); } return call_user_func_array(array($this->client, $method), $args); }}

测试文件test.php:

<?phprequire('Search.php');$s = new Search([ 'snippet_fields' => ['title', 'content'], 'field_weights' => ['title' => 20, 'content' => 10], ]);$s->setSortMode(SPH_SORT_EXTENDED, 'created desc,@weight desc');//$s->setSortBy('created desc,@weight desc');$words = $s->wordSplit("mysql集群");//先分词 结果:(mysql)|(mysql集群)//print_r($words);exit;$res = $s->query($words, 0, 10, 'master');echo '<pre/>';print_r($res);

测试结果:

20160908090034013

12、SphinxQL测试

要使用SphinxQL需要在Searchd的配置里面增加相应的监听端口(参考上文配置)。

[root@localhost bin]# mysql -h127.0.0.1 -P9306 -uroot -pEnter password:Welcome to the MySQL monitor. Commands end with ; or \g.Your MySQL connection id is 1Server version: 2.0.7-id64-release (r3759)Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved.Oracle is a registered trademark of Oracle Corporation and/or itsaffiliates. Other names may be trademarks of their respectiveowners.Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.mysql> show global variables;+----------------------+---------+| Variable_name | Value |+----------------------+---------+| autocommit | 1 || collation_connection | libc_ci || query_log_format | plain || log_level | info |+----------------------+---------+4 rows in set (0.00 sec)mysql> desc items;+---------+-----------+| Field | Type |+---------+-----------+| id | bigint || title | field || content | field || created | timestamp || deleted | bool |+---------+-----------+5 rows in set (0.00 sec)mysql> select * from master where match ('mysql集群') limit 10;+------+---------+---------+| id | created | deleted |+------+---------+---------+| 1 | 2016 | 0 || 6 | 0 | 0 |+------+---------+---------+2 rows in set (0.00 sec)mysql> show meta;+---------------+-------+| Variable_name | Value |+---------------+-------+| total | 2 || total_found | 2 || time | 0.006 || keyword[0] | mysql || docs[0] | 5 || hits[0] | 15 || keyword[1] | 集 || docs[1] | 3 || hits[1] | 4 || keyword[2] | 群 || docs[2] | 3 || hits[2] | 4 |+---------------+-------+12 rows in set (0.00 sec)mysql>

原文地址:http://blog.csdn.net/nuli888/article/details/51892776

 

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