Plastic is an Elasticsearch ODM and mapper for Laravel. It renders the developer experience more enjoyable while using Elasticsearch, by providing a fluent syntax for mapping, querying, and storing eloquent models.
This package is still under active development and may change.
For Elasticsearch v2 please refer to version < 0.4.0.
composer require sleimanx2/plasticIf you are using Laravel >=5.5 the service provider will be automatically discovered otherwise we need to add the plastic service provider to config/app.php under the providers key:
Sleimanx2\Plastic\PlasticServiceProvider::classFinally we need to run:
php artisan vendor:publishThis will create a config file at config/plastic.php and a mapping directory at database/mappings.
- Defining Searchable Models
- Storing Model Content
- Searching
- Aggregation
- Suggestions
- Mappings
- Populate An Index
- Access The Client
To get started, enable searching capabilities in your model by adding the Sleimanx2\Plastic\Searchable trait:
use Sleimanx2\Plastic\Searchable;
class Book extends Model
{
use Searchable;
}By default, Plastic will store all visible properties of your model, using $model->toArray().
In addition, Plastic provides you with two ways to manually specify which attributes/relations should be stored in Elasticsearch.
public $searchable = ['id', 'name', 'body', 'tags', 'images'];public function buildDocument()
{
return [
'id' => $this->id,
'tags' => $this->tags
];
}By the default Plastic will use the model table name as the model type. You can customize it by adding a $documentType property to your model:
public $documentType = 'custom_type';By the default Plastic will use the index defined in the configuration file. You can customize in which index your model data will be stored by setting the $documentIndex property to your model:
public $documentIndex = 'custom_index';Plastic automatically syncs model data with elastic when you save or delete your model from our SQL DB, however this feature can be disabled by adding public $syncDocument = false to your model.
Its important to note that manual document update should be performed in multiple scenarios:
1 - When you perform a bulk update or delete, no Eloquent event is triggered, therefore the document data won't be synced.
2 - Plastic doesn't listen to related models events (yet), so when you update a related model's content you should consider updating the parent document.
$book = Book::first()->document()->save();$book = Book::first()->document()->update();$book = Book::first()->document()->delete();Plastic::persist()->bulkSave(Tag::find(1)->books);$authors = Author::where('age','>',25)->get();
Plastic::persist()->bulkDelete($authors);Plastic provides a fluent syntax to query Elasticsearch which leads to compact readable code. Lets dig into it:
$result = Book::search()->match('title','pulp')->get();
// Returns a collection of Book Models
$books = $result->hits();
// Returns the total number of matched documents
$result->totalHits();
// Returns the highest query score
$result->maxScore();
//Returns the time needed to execute the query
$result->took();To get the raw DSL query that will be executed you can call toDSL():
$dsl = Book::search()->match('title','pulp')->toDSL();$books = Book::search()
->multiMatch(['title', 'description'], 'ham on rye', ['fuzziness' => 'AUTO'])
->sortBy('date')
->paginate();You can still access the result object after pagination using the result method:
$books->result();User::search()
->must()
->term('name','kimchy')
->mustNot()
->range('age',['from'=>10,'to'=>20])
->should()
->match('bio','developer')
->match('bio','elastic')
->filter()
->term('tag','tech')
->get();$contain = 'foo';
Post::search()
->multiMatch(['title', 'body'], $contain)
->nested('tags', function (SearchBuilder $builder) use ($contain) {
$builder->match('tags.name', $contain);
})->get();Check out this documentation of supported search queries within Plastic and how to apply unsupported queries.
To switch to a different index for a single query, simply use the index method.
$result = Book::search()->index('special-books')->match('title','pulp')->get();$result = User::search()
->match('bio', 'elastic')
->aggregate(function (AggregationBuilder $builder) {
$builder->average('average_age', 'age');
})->get();
$aggregations = $result->aggregations();Check out this documentation of supported aggregations within plastic and how to apply unsupported aggregations.
Plastic::suggest()->completion('tag_suggest', 'photo')->get();The suggestions query builder can also be accessed directly from the model as well:
//this be handy if you have a custom index for your model
Tag::suggest()->term('tag_term','admin')->get();Mappings are an important aspect of Elasticsearch. You can compare them to indexing in SQL databases. Mapping your models yields better and more efficient search results, and allows us to use some special query functions like nested fields and suggestions.
php artisan make:mapping "App\User"The new mapping will be placed in your database/mappings directory.
A mapping class contains a single method map. The map method is used to map the given model fields.
Within the map method you may use the Plastic Map builder to expressively create field maps. For example, let's look at a sample mapping that creates a Tag model map:
use Sleimanx2\Plastic\Map\Blueprint;
use Sleimanx2\Plastic\Mappings\Mapping;
class AppTag extends Mapping
{
/**
* Full name of the model that should be mapped
*
* @var string
*/
protected $model = App\Tag::class;
/**
* Run the mapping.
*
* @return void
*/
public function map()
{
Map::create($this->getModelType(), function (Blueprint $map) {
$map->string('name')->store('true')->index('analyzed');
// instead of the fluent syntax we can use the second method argument to fill the attributes
$map->completion('suggestion', ['analyzer' => 'simple', 'search_analyzer' => 'simple']);
},$this->getModelIndex());
}
}To learn about all of the methods available on the Map builder, check out this documentation.
Running the created mappings can be done using the Artisan console command:
php artisan mapping:runIf your update consists only of adding a new field mapping you can always update our model map with your new field and run:
php artisan mapping:rerunThe mapping for existing fields cannot be updated or deleted, so you'll need to use one of following techniques to update existing fields.
You can always create a new Elasticsearch index and re-run the mappings. After running the mappings you can use the bulkSave method to sync your SQL data with Elasticsearch.
Its recommended to create your Elasticsearch index with an alias to ease the process of updating your model mappings with zero downtime. To learn more check out:
https://www.elastic.co/blog/changing-mapping-with-zero-downtime
Populating an index with searchable models can be done by running an Artisan console command :
php artisan plastic:populate [--mappings][--index=...][--database=...]--mappingsCreate the models mappings before populating the index--database=...Database connection to use for mappings instead of the default one--index=...Index to populate instead of the default one
The list of models from which to recreate the documents has to be configured per index in config/plastic.php:
'populate' => [
'models' => [
// Models for the default index
env('PLASTIC_INDEX', 'plastic') => [
App\Models\Article::class,
App\Models\Page::class,
],
// Models for the index "another_index"
'another_index' => [
App\Models\User::class,
],
],
],
You can access the Elasticsearch client to manage your indices and aliases as follows:
$client = Plastic::getClient();
//index delete
$client->indices()->delete(['index'=> Plastic::getDefaultIndex()]);
//index create
$client->indices()->create(['index' => Plastic::getDefaultIndex()]);More about the official elastic client : https://github.com/elastic/elasticsearch-php
Thank you for contributing, The contribution guide can be found Here.
Plastic is open-sourced software licensed under the MIT license.
- implement Boosting query
- implement ConstantScore query
- implement DisMaxQuery query
- implement MoreLikeThis query (with raw eloquent models)
- implement GeoShape query
- implement Nested aggregation
- implement ExtendedStats aggregation
- implement TopHits aggregation
- Find a seamless way to update field mappings with zero downtime with aliases
- Better query builder documentation
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