Package Data | |
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Maintainer Username: | jakeboyles |
Maintainer Contact: | tjlingham@gmail.com (Tom Lingham) |
Package Create Date: | 2016-01-15 |
Package Last Update: | 2016-01-27 |
Home Page: | |
Language: | PHP |
License: | MIT |
Last Refreshed: | 2024-11-11 15:20:12 |
Package Statistics | |
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Total Downloads: | 21 |
Monthly Downloads: | 0 |
Daily Downloads: | 0 |
Total Stars: | 3 |
Total Watchers: | 3 |
Total Forks: | 0 |
Total Open Issues: | 0 |
Searchy is an; easy-to-use, light-weight, MySQL only, Laravel package that makes running user driven searches on data in your models simple and effective. It uses pseudo fuzzy searching and other weighted mechanics depending on the search driver that you have enabled. It requires no other software installed on your server (so can be a little slower than dedicated search programs) but can be set up and ready to go in minutes.
Looking for Laravel 4 compatible Searchy? Checkout the 1.0 branch :)
https://github.com/TomLingham/Laravel-Searchy/tree/1.0
Add "tom-lingham/searchy" : "2.*"
to your composer.json file under require
:
"require": {
"laravel/framework": "5.*",
"tom-lingham/searchy" : "2.*"
}
Run composer update
in your terminal to pull down the package into your vendors folder.
Add the service provider to the providers
array in Laravel's ./config/app.php
file:
TomLingham\Searchy\SearchyServiceProvider::class
Add the Alias to the aliases
array in Laravel's ./config/app.php
file if you want to have quick access to it in your application:
'Searchy' => TomLingham\Searchy\Facades\Searchy::class
To use Searchy, you can take advantage of magic methods.
If you are searching the name and email column/field of users in a users
table you would, for example run:
$users = Searchy::users('name', 'email')->query('John Smith')->get();
You can also write this as:
$users = Searchy::search('users')->fields('name', 'email')->query('John Smith')->get();
In this case, pass the columns you want to search through to the fields()
method.
These examples both return an array of Objects containing your search results. You can use getQuery()
instead of get()
to return an instance of the Database Query Object in case you want to do further manipulation to the results:
$users = Searchy::search('users')->fields('name', 'email')->query('John Smith')
->getQuery()->having('relevance', '>', 20)->get();
You can also add multiple arguments to the list of fields/columns to search by.
For example, if you want to search the name, email address and username of a user, you might run:
$users = Searchy::users('name', 'email', 'username')->query('John Smith')->get();
Sometimes you may want to leverage searches on concatenated column. For example, on a first_name
and last_name
field but you only want to run the one query. To do this can separate columns with a double colon:
$users = Searchy::users('first_name::last_name')->query('John Smith')->get();
You can specify which columns to return in your search:
$users = Searchy::users('first_name::last_name')->query('John Smith')->select('first_name')->get();
// Or you can swap those around...
$users = Searchy::users('first_name::last_name')->select('first_name')->query('John Smith')->get();
This will, however, also return the relevance
aliased column regardless of what is entered here.
## Configuration
You can publish the configuration file to your app
directory and override the settings by running php artisan vendor:publish
to copy the configuration to your config folder as searchy.php
You can set the default driver to use for searches in the configuration file. Your options (at this stage) are: fuzzy
, simple
and levenshtein
.
You can also override these methods using the following syntax when running a search:
Searchy::driver('fuzzy')->users('name')->query('Batman')->get();
## Soft Deletes
By default soft deletes will not be included in your results. However, if you wish to include soft deletes you can add do so by followin the below syntax.
Searchy::trashed()->users('name')->query('Batman')->get();
## Drivers
Searchy takes advantage of 'Drivers' to handle matching various conditions of the fields you specify.
Drivers are simply a specified group of 'Matchers' which match strings based on specific conditions.
Currently there are only three drivers: Simple, Fuzzy and Levenshtein (Experimental).
The Simple search driver only uses 3 matchers each with the relevant multipliers that best suited my testing environments.
protected $matchers = [
'TomLingham\Searchy\Matchers\ExactMatcher' => 100,
'TomLingham\Searchy\Matchers\StartOfStringMatcher' => 50,
'TomLingham\Searchy\Matchers\InStringMatcher' => 30,
];
The Fuzzy Search Driver is simply another group of matchers setup as follows. The multipliers are what I have used, but feel free to change these or roll your own driver with the same matchers and change the multipliers to suit.
protected $matchers = [
'TomLingham\Searchy\Matchers\ExactMatcher' => 100,
'TomLingham\Searchy\Matchers\StartOfStringMatcher' => 50,
'TomLingham\Searchy\Matchers\AcronymMatcher' => 42,
'TomLingham\Searchy\Matchers\ConsecutiveCharactersMatcher' => 40,
'TomLingham\Searchy\Matchers\StartOfWordsMatcher' => 35,
'TomLingham\Searchy\Matchers\StudlyCaseMatcher' => 32,
'TomLingham\Searchy\Matchers\InStringMatcher' => 30,
'TomLingham\Searchy\Matchers\TimesInStringMatcher' => 8,
];
The Levenshtein Search Driver uses the Levenshetein Distance to calculate the 'distance' between strings. It requires that you have a stored procedure in MySQL similar to the following levenshtein( string1, string2 )
. There is an SQL file with a suitable function in the res
folder - feel free to use this one.
protected $matchers = [
'TomLingham\Searchy\Matchers\LevenshteinMatcher' => 100
];
## Matchers
Matches an exact string and applies a high multiplier to bring any exact matches to the top.
Matches Strings that begin with the search string. For example, a search for 'hel' would match; 'Hello World' or 'helping hand'
Matches strings for Acronym 'like' matches but does NOT return Studly Case Matches For example, a search for 'fb' would match; 'foo bar' or 'Fred Brown' but not 'FreeBeer'.
Matches strings that include all the characters in the search relatively positioned within the string. It also calculates the percentage of characters in the string that are matched and applies the multiplier accordingly.
For Example, a search for 'fba' would match; 'Foo Bar' or 'Afraid of bats', but not 'fabulous'
Matches the start of each word against each word in a search.
For example, a search for 'jo ta' would match; 'John Taylor' or 'Joshua B. Takeshi'
Matches Studly Case strings using the first letters of the words only
For example a search for 'hp' would match; 'HtmlServiceProvider' or 'HashParser' but not 'hasProvider'
Matches against any occurrences of a string within a string and is case-insensitive.
For example, a search for 'smi' would match; 'John Smith' or 'Smiley Face'
Matches a string based on how many times the search string appears inside the string it then applies the multiplier for each occurrence. For example, a search for 'tha' would match; 'I hope that that cat has caught that mouse' (3 x multiplier) or 'Thanks, it was great!' (1 x multiplier)
See Levenshtein Driver
## Extending
It's really easy to roll your own search drivers. Simply create a class that extends TomLingham\Searchy\SearchDrivers\BaseSearchDriver
and add a property called $matchers
with an array of matcher classes as the key and the multiplier for each matcher as the values. You can pick from the classes that are already included with Searchy or you can create your own.
To create your own matchers, you can create your own class that extends TomLingham\Searchy\Matchers\BaseMatcher
and (for simple Matchers) override the formatQuery
method to return a string formatted with %
wildcards in required locations. For more advanced extensions you may need to override the buildQuery
method and others as well.
## Contributing & Reporting Bugs
If you would like to improve on the code that is here, feel free to submit a pull request.
If you find any bugs, submit them here and I will respond as soon as possible. Please make sure to include as much information as possible.