Provides integration of Sphinx search engine with Symfony using SphinxQL

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v1.1.6 2018-06-07 13:20 UTC

This package is auto-updated.

Last update: 2020-07-19 10:33:40 UTC


This bundle provides integration of Sphinx search engine with Symfony.


  • SphinxQL Query Builder
  • Integration with doctrine/orm
  • Integration with knplabs/knp-paginator-bundle
  • Symfony Profiler toolbar section with number of executed queries and profiler page with detailed information about executed queries
  • Ability to test search using Behat scenarios


  • PHP 7.1+
  • pdo_mysql php extension


Install the bundle using composer:

composer require javer/sphinx-bundle


Add to your app/config/config.yml the following options:

    port: 9306

Full configuration with default values:

    port: 9306
    config_path: "%kernel.root_dir%/config/sphinx.conf"
    data_dir: "%kernel.cache_dir%/sphinx"
    searchd_path: searchd


Synthetic example of SELECT query which returns an array:

$results = $this->container->get('sphinx')
    ->select('id', 'column1', 'column2', 'WEIGHT() as weight')
    ->from('index1', 'index2')
    ->where('column3', 'value1')
    ->where('column4', '>', 4)
    ->where('column5', [5, '6'])
    ->where('column6', 'NOT IN', [7, '8'])
    ->where('column7', 'BETWEEN', [9, 10])
    ->match('column8', 'value2')
    ->match(['column9', 'column10'], 'value3')
    ->withinGroupOrderBy('column13', 'desc')
    ->having('weight', '>', 2)
    ->orderBy('column15', 'desc')
    ->option('agent_query_timeout', 10000)
    ->option('max_matches', 1000)
    ->option('field_weights', '(column9=10, column10=3)')

Paginate a list of entities fetched from the database using Doctrine ORM QueryBuilder by searching phrase in them using Sphinx:

$queryBuilder = $this->container->get('doctrine.orm.default_entity_manager')
    ->select('p', 'i')
    ->from('AppBundle:Product', 'p')
    ->join('AppBundle:Image', 'i')
    ->where('p.owner = :owner')
    ->setParameter('owner', $this->getUser());

$query = $this->container->get('sphinx')
    ->match(['name', 'description'], $searchQuery)
    ->where('owner_id', $this->getUser()->getId())
    ->orderBy('created', 'desc')
    ->useQueryBuilder($queryBuilder, 'p');

$paginator = $this->container->get('knp_paginator')
    ->paginate($query, $request->query->get('page', 1), 20);

Sample shpinx.conf for the given example above:

source product
        type                    = mysql
        sql_host                = localhost
        sql_user                = user
        sql_pass                = password
        sql_db                  = database_name
        sql_query               = \
                SELECT p.id, p.owner_id, p.name, p.description, UNIX_TIMESTAMP(p.created) as created, \
                FROM product p \
                WHERE p.deletedAt IS NULL
        sql_attr_uint           = owner_id
        sql_attr_timestamp      = created
index product
        source                  = product
        path                    = /usr/local/var/data/product
        morphology              = stem_en
        min_stemming_len        = 3

Behat tests

To be able to test search in Behat scenarios there is built-in behat context SphinxContext.

To use it you should add this context in your behat.yml, for example:

        Behat\Symfony2Extension: ~
                - Javer\SphinxBundle\Behat\Context\SphinxContext

Please note that Symfony2Extension Behat extension is required to be able to use this feature.

Then you should add a new step to your scenario:

Given I create search index and run sphinx

This step:

  • creates a new configuration for sphinx based on your configuration
  • converts all MySQL indexes to real-time indexes
  • starts daemon
  • loads data from the database to indexes for converted MySQL -> real-time indexes
  • stops daemon at the end of the scenario

Please note that you should explicitly declare all text fields in your indexes in the following form:

source product
    #!sql_field_string = name

It is not necessary when you declare fields for MySQL index in sphinx.conf, but it is needed to be able to convert indexes to real-time.

If you use sqlite as the database engine for running tests you should take into account that not all functions of the MySQL are presented in sqlite, so you should use portable analogs for these functions:

  • IF(condition, true, false) -> CASE WHEN condition THEN true ELSE false END
  • and so on