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Informations about the package sphinxql
SphinxQL library for Laravel 8
This is a simple library that will help you to query a sphinx search server using SphinxQL. My main motivation for putting together this package was to interface easily with Sphinx Real-time indexes on Laravel 8 (Updating rt indexes is ONLY possible using SphinxQL)
As an added bonus, SphinxQL is much more performant than SphinxAPI: http://sphinxsearch.com/blog/2010/04/25/sphinxapi-vs-sphinxql-benchmark/
This package should be compatible with Manticore Search through the foolz/sphinxql-query-builder library.
Installation
Require this package using composer.
Run composer update
to pull down Sphinxql. Note that Sphinxql has a
dependency on 'FoolCode/SphinxQL-Query-Builder', which does much of the heavy lifting
(http://foolcode.github.io/SphinxQL-Query-Builder/)
Now open up app/config/app.php
and add the service provider to your providers
array.
and the alias:
If you need to override the default configuration options (server/port), please use the config publish command
RT (Real-Time) Indexes in Sphinx
The main differences between the conventional and RT indexes in Sphinx are:
-
RT uses a "push" model. This means that The task of keeping the index in sync with your database is delegated to your application (remember there is no "indexer" in an RT scheme). So, typically when using an RT index, the index starts out empty and gets populated over time using SphinxQL queries sent by your application.
-
RT uses more RAM than the conventional indexer approach. Here is an informative blog detailing why: http://www.ivinco.com/blog/sphinx-in-action-good-and-bad-in-sphinx-real-time-indexes/ Also, for more information, be sure to read the internals of RT at : http://sphinxsearch.com/docs/archives/1.10/rt-internals.html In either type of indexing strategy (conventional or RT), for best results, you are recommended to dedicate as much RAM as is possible to your sphinx server. So, the additional RAM requirement should not really deter you from using RT.
- A major pro for RT indexes is that they are much easier to setup and manage. There is no need for messing with cron jobs as the "indexer" component is not used (fewer moving parts). No main-delta schemes to worry about (typically). And, ofcourse your index is live with search data instantly!
The more recent versions of Sphinx (2.1.1+) have made enormous strides in making RT indexes production ready: http://sphinxsearch.com/blog/2013/01/15/realtime-index-improvements-in-2-1-1/
The current version uses sensible configuration defaults.. so you can have a clean sphinx.conf file that takes care of the most common scenarios out of the box. http://sphinxsearch.com/docs/current.html#sphinx-deprecations-defaults
Here is the (minimal) sphinx.conf file used in examples below (for rt indexing):
Query Builder Documentation
The SphinxQL query builder package for PHP developed and made available by the kind folks at foolcode is VERY well documented and tested. I strongly recommend you go through their webpage at : http://foolcode.github.io/SphinxQL-Query-Builder/
Misc Usage Tips
Using Laravel 6 model events (http://four.laravel.com/docs/eloquent#model-events), it is trivial to ensure that your model stays in sync with your index!
Consider the following snippets that can be easily added into "created", "updated" and "deleted" events for your model:
Similarly, Replace and delete can be easily handled like so:
A search query can be constructed as:
The above statement returns an array of hits (if found).
View the generated sql statement:
Please refer to the documentation (http://foolcode.github.io/SphinxQL-Query-Builder/) for all available options.
Get the Meta info:
It is also possible to run a raw sql query against the server like so:
You can pass in any valid SphinxQL statement as a parameter to the raw() function.
Integration with Eloquent
This package makes it really easy to integrate the results of a search with database rows. Remember that a sphinx query only returns a hit array containing ID's. It is upto the application to issue queries against the database to retrieve the actual table rows.
The first statement runs the query against the sphinx server and returns an array.
The "with()" function takes the "hit" array returned by the Sphinx search engine and chains it to the "get". The "get()" function has the following signature:
where $name is either:
-
null - The function simply returns an array of ID's
-
An eloquent model - The function returns an EloquentCollection containing table rows matching the ids
- A string representing a table name - The function returns an array of rows from the table specified (using DB::table('name'))
The $key parameter can be used to change the primary key column name (defaults to 'id')
License
This software licensed under the MIT license
Credit
This is a fork of https://github.com/mnshankar/SphinxQL who did the initial work but seems to have moved on to other projects nowadays.
All versions of sphinxql with dependencies
illuminate/support Version ^8.0|^9.0|^10.0|^11.0
foolz/sphinxql-query-builder Version ^3.0