PHPackages divineomega/omega-search - PHPackages - PHPackages [Skip to content](#main-content)[PHPackages](/)[Directory](/)[Categories](/categories)[Trending](/trending)[Leaderboard](/leaderboard)[Changelog](/changelog)[Analyze](/analyze)[Collections](/collections)[Log in](/login)[Sign up](/register) 1. [Directory](/) 2. / 3. [Search & Filtering](/categories/search) 4. / 5. divineomega/omega-search Abandoned → [jord-jd/omega-search](/?search=jord-jd%2Fomega-search)Library[Search & Filtering](/categories/search) divineomega/omega-search ======================== Search allows you to easily add an intelligent search engine to your website or web application. v5.0.0(2mo ago)22471LGPL-3.0-onlyPHP Since Jul 23Pushed 2mo agoCompare [ Source](https://github.com/Jord-JD/omega-search)[ Packagist](https://packagist.org/packages/divineomega/omega-search)[ GitHub Sponsors](https://github.com/DivineOmega)[ RSS](/packages/divineomega-omega-search/feed)WikiDiscussions master Synced 2mo ago READMEChangelog (6)Dependencies (3)Versions (7)Used By (0) Omega Search ============ [](#omega-search) Omega Search allows you to easily add an intelligent search engine to your website or web application. It can be configured to search any database table. If you are using the Laravel framework, take a look at the [Laravel Omega Search](https://github.com/Jord-JD/laravel-omega-search) package. Installation ------------ [](#installation) You can install this package with Composer. ``` composer require jord-jd/omega-search ``` Usage ----- [](#usage) Using Omega Search is easy. Take a look at the following example. ``` use \JordJD\OmegaSearch\OmegaSearch; // Setup your database connection. // If you already have a connection setup, you can skip this step. $pdo = new PDO('mysql:dbname=database_name;host=127.0.0.1', 'username', 'password'); // Create a new Omega Search object $search = new OmegaSearch; // Configure the Omega Search object $search->setDatabaseConnection($pdo) ->setTable('products') ->setPrimaryKey('product_groupid') ->setFieldsToSearch(['product_name', 'product_description', 'product_seokeywords']) ->setConditions(['product_live' => 1]); // Perform a search for 'test product', limited to top 10 results $results = $search->query('test product', 10); // Output results var_dump($results); ``` The results are returned as a `SearchResults` object, as shown below, containing an array of `SearchResult` objects. This `SearchResults` object also contains various statistics such as the highest, lowest and average relevances, and the time taken to perform the search. Each `SearchResult` object in the array provides the primary key `id` and its `relevance`. The `relevance` is simply a number that is higher on more relevant results. The array is sorted by relevance descending. ``` object(JordJD\OmegaSearch\SearchResults)#731 (5) { ["results"]=> array(10) { [0]=> object(JordJD\OmegaSearch\SearchResult)#588 (2) { ["id"]=> int(80) ["relevance"]=> float(637.80198499153) } /** ... snipped ... */ [9]=> object(JordJD\OmegaSearch\SearchResult)#597 (2) { ["id"]=> int(18469) ["relevance"]=> float(121.65783596237) } } ["highestRelevance"]=> float(637.80198499153) ["lowestRelevance"]=> float(121.65783596237) ["averageRelevance"]=> float(336.74613218217) ["time"]=> float(0.33661985397339) } ``` ### Overriding SQL [](#overriding-sql) If you wish to write your own SQL query instead of using the one generated, for example if you wish to join another table, you can use the `setSqlOverride` method. The query passed into this method must contain a `SELECT` and `LIMIT ? , ?`, an exception will be thrown otherwise. You can omit the `setFieldsToSearch` method when overriding the SQL. Take a look at the following example: ``` use \JordJD\OmegaSearch\OmegaSearch; // Setup your database connection. // If you already have a connection setup, you can skip this step. $pdo = new PDO('mysql:dbname=database_name;host=127.0.0.1', 'username', 'password'); // Create a new Omega Search object $search = new OmegaSearch; // Configure the Omega Search object $search->setDatabaseConnection($pdo) ->setTable('products') ->setPrimaryKey('product_groupid') ->setConditions(['product_live' => 1]) ->setSqlOverride('SELECT product_name, product_description, product_seokeywords FROM products LIMIT ? , ?'); // Perform a search for 'test product', limited to top 10 results $results = $search->query('test product', 10); // Output results var_dump($results); ``` ### Caching Source Data [](#caching-source-data) To speed up searching, you can cache the source data using any PSR-6 compliant cache pool. An example of this is shown below. ``` // Create cache pool $filesystemAdapter = new Local(storage_path().'/search-cache/'); $filesystem = new Filesystem($filesystemAdapter); $cacheItemPool = new FilesystemCachePool($filesystem); // Set cache expiry time $cacheExpiryInSeconds = 300; // Create a new Omega Search object $search = new OmegaSearch; // Configure the Omega Search object $search->setDatabaseConnection($pdo) ->setTable('products') ->setPrimaryKey('product_groupid') ->setFieldsToSearch(['product_name']) ->setCache($cacheItemPool, $cacheExpiryInSeconds); // Setup cache ``` ### Health Score 46 — FairBetter than 93% of packages Maintenance83 Actively maintained with recent releases Popularity16 Limited adoption so far Community10 Small or concentrated contributor base Maturity63 Established project with proven stability Bus Factor1 Top contributor holds 58.3% of commits — single point of failure How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window. **Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores. **Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement. **Maturity (30%)** — Project age, version count, PHP version support, and release stability. ### Release Activity Cadence Every ~479 days Recently: every ~599 days Total 6 Last Release 87d ago Major Versions v3.0.0 → v4.0.02019-07-23 v4.1.0 → v5.0.02026-02-14 ### Community Maintainers ![](https://www.gravatar.com/avatar/c580cdf7c14898fff179cdfc1085892091d5d2f49d917873a12365af9ac77c93?d=identicon)[Jord-JD](/maintainers/Jord-JD) --- Top Contributors [![Jord-JD](https://avatars.githubusercontent.com/u/650645?v=4)](https://github.com/Jord-JD "Jord-JD (7 commits)")[![kirsty-gasston](https://avatars.githubusercontent.com/u/12949343?v=4)](https://github.com/kirsty-gasston "kirsty-gasston (3 commits)")[![NilesB](https://avatars.githubusercontent.com/u/7305403?v=4)](https://github.com/NilesB "NilesB (2 commits)") --- Tags fuzzy-searchphpphp-librarysearchsearch-engine ### Embed Badge ![Health badge](/badges/divineomega-omega-search/health.svg) ``` [![Health](https://phpackages.com/badges/divineomega-omega-search/health.svg)](https://phpackages.com/packages/divineomega-omega-search) ``` ### Alternatives [mailerlite/laravel-elasticsearch An easy way to use the official PHP ElasticSearch client in your Laravel applications. 934529.3k2](/packages/mailerlite-laravel-elasticsearch)[jeroen-g/explorer Next-gen Elasticsearch driver for Laravel Scout. 397612.3k](/packages/jeroen-g-explorer)[swisnl/laravel-fulltext Fulltext indexing and searching for Laravel 184104.5k6](/packages/swisnl-laravel-fulltext)[romanstruk/manticore-scout-engine Laravel Manticore Scout Engine 4818.1k](/packages/romanstruk-manticore-scout-engine)[statamic-rad-pack/meilisearch meilisearch search driver for Statamic 1661.7k](/packages/statamic-rad-pack-meilisearch)[internachi/blade-alpine-instantsearch Algolia instant search as Blade/Alpine.js components 1940.9k](/packages/internachi-blade-alpine-instantsearch) PHPackages © 2026 [Directory](/)[Categories](/categories)[Trending](/trending)[Changelog](/changelog)[Analyze](/analyze)