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How to use sphinx search engine in php

Mar 21, 2018 pm 02:12 PM
phpsphinxsearch engine

Sphinx is an efficient search engine. The word segmentation search speed is relatively fast. The index is created and stored in the hard disk file. It will not interfere with the database. It has its own set of built-in databases. I hope it can help everyone.

Use sphinx search engine in php

sphinx is an efficient search engine. The word segmentation search speed is relatively fast. The index is established and stored in the hard disk file. It will not interfere with the database and has its own A set of built-in databases

1. Install sphinx on ubuntu

If aptitude is not installed, you need to install aptitude first because problems will occur when using apt get install to install the following command.<br> sudo apt-get install aptitude<br>sudo aptitude install sphinx3 sphinx3-doc sphinxsearch sphinx-common -y

2. Configuration

<br>

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<br>

cd /etc/sphinxsearch/

cp sphinx.conf. sample sphinx.conf

Modify the configuration file as follows<br>

##
<br>
<br>
}
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source src1

{

type = mysql

sql_host = localhost

sql_user = root

sql_pass = magicmoma

sql_db = coupon_20160901

sql_port = 3306 # optional, default is 3306

sql_query = SELECT couponid,title,description FROM app_coupon_api

# Need to include primary key, word segmentation index field

##}

index test1

{

source = src1

path = /var/lib/sphinxsearch/ data/test1 #Index storage directory

docinfo = extern

mlock = 0

morphology = none

min_word_len = 1

charset_type = utf-8

min_prefix_len = 0

min_infix_len = 0

ngram_len = 1

html_strip = 0

}

indexer

{

mem_limit = 2048M

}<br>

searchd

{

listen = 9312

listen = 9306:mysql41

log = /var/log/sphinxsearch/searchd.log

query_log = /var/log /sphinxsearch/query.log

read_timeout = 5

client_timeout = 300

max_children = 30

pid_file = /var/run/sphinxsearch/searchd. pid

max_matches = 1000

seamless_rotate = 1

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 # for RT to work

######

<br>

  1. Execute the word segmentation command and a bunch of index files will be generated in the /var/lib/sphinxsearch/data/test1 directory<br>sudo indexer - c /etc/sphinxsearch/sphinx.conf test1

    test1 is the index name of the above configuration file

sudo search -c /etc/sphinxsearch/sphinx.conf google

2. Use

in php 1. Install php sphinx Dependent libraries

1. Install aptitude

apt-get install aptitude<br>sudo aptitude install libsphinxclient-dev libsphinxclient-0.0.1 -y

2. Install php sphinx extension

Install pecl<br>sudo apt-get install php-pear php5-dev<br>Install sphinx<br>sudo pecl install sphinx

3. Add the sphinx extension to the configuration file php.ini,

My php.ini file is <br> sudo vim /etc/php5/fpm/php.ini<br>Get your own php.ini file location using<br>php5-fpm -i|grep ini

Add:<br>extension=sphinx.so<br>4. Restart php5-fpm and check whether php loads the sphinx module<br>sudo /etc/init.d/php5 -fpm restart<br>5. Run the search program in the background<br>sudo searchd -c /etc/sphinxsearch/sphinx.conf<br>Default listening port in the configuration file: 9312

6. Call search in thinkphp<br>

##
<br>
<br>
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public function testSphinx()

{

$s = new \SphinxClient;

$s->setServer("localhost", 9312);

$s->SetArrayResult (true );

$s->setMatchMode(SPH_MATCH_ANY);

$s->setMaxQueryTime(3);

$result = $s->query("test");

$result = $result['matches'];

$result = array_column($result,'id');

$list = M('CouponApi')-> ;field('couponid,title,description')->where(array('couponid'=>array('in',$result)))->select();

dump( $list);

}

The search is completed and the results are returned (20 items are returned by default, to modify the number of items returned, add

$ s->SetLimits(0, 1000, 1000);), the search speed is quite fast, and it takes less than 10 seconds to index the title and description fields of 800,000 pieces of data. The search engine supports incremental indexing and a variety of For pattern search, there is a lot of information on the Internet

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