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Support Ukraine Import progress report

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For Laravel Framework < 6.0.0 use 3.x branch

The package provides the perfect starting point to integrate ElasticSearch into your Laravel application. It is carefully crafted to simplify the usage of ElasticSearch within the Laravel Framework.

It’s built on top of the latest release of Laravel Scout, the official Laravel search package. Using this package, you are free to take advantage of all of Laravel Scout’s great features, and at the same time leverage the complete set of ElasticSearch’s search experience.

If you need any help, stack overflow is the preferred and recommended way to ask support questions.

💕 Features

Don't forget to ⭐ the package if you like it. 🙏

⚠️ Requirements

  • PHP version >= 8.0
  • Laravel Framework version >= 8.0.0
Elasticsearch version ElasticsearchDSL version
>= 8.0 >= 8.0.0
>= 7.0 >= 3.0.0
>= 6.0, < 7.0 < 3.0.0

🚀 Installation

Use composer to install the package:

composer require matchish/laravel-scout-elasticsearch

Set env variables

SCOUT_DRIVER=Matchish\ScoutElasticSearch\Engines\ElasticSearchEngine

The package uses \ElasticSearch\Client from official package, but does not try to configure it, so feel free do it in your app service provider. But if you don't want to do it right now, you can use Matchish\ElasticSearchServiceProvider from the package.
Register the provider, adding to config/app.php

'providers' => [
    // Other Service Providers

    \Matchish\ScoutElasticSearch\ElasticSearchServiceProvider::class
],

Set ELASTICSEARCH_HOST env variable

ELASTICSEARCH_HOST=host:port

or use commas as separator for additional nodes

ELASTICSEARCH_HOST=host:port,host:port

And publish config example for elasticsearch
php artisan vendor:publish --tag config

💡 Usage

Note: This package adds functionalities to Laravel Scout, and for this reason, we encourage you to read the Scout documentation first. Documentation for Scout can be found on the Laravel website.

Index settings and mappings

It is very important to define the mapping when we create an index — an inappropriate preliminary definition and mapping may result in the wrong search results.

To define mappings or settings for index, set config with right value.

For example if method searchableAs returns products string

Config key for mappings should be
elasticsearch.indices.mappings.products
Or you you can specify default mappings with config key elasticsearch.indices.mappings.default

Same way you can define settings

For index products it will be
elasticsearch.indices.settings.products

And for default settings
elasticsearch.indices.settings.default

Eager load

To speed up import you can eager load relations on import using global scopes.

You should configure ImportSourceFactory in your service provider(register method)

use Matchish\ScoutElasticSearch\Searchable\ImportSourceFactory;
...
public function register(): void
{
$this->app->bind(ImportSourceFactory::class, MyImportSourceFactory::class);

Here is an example of MyImportSourceFactory

namespace Matchish\ScoutElasticSearch\Searchable;

final class MyImportSourceFactory implements ImportSourceFactory
{
    public static function from(string $className): ImportSource
    {
        //Add all required scopes
        return new DefaultImportSource($className, [new WithCommentsScope()]);
    }
}

class WithCommentsScope implements Scope {

    /**
     * Apply the scope to a given Eloquent query builder.
     *
     * @param \Illuminate\Database\Eloquent\Builder $builder
     * @param \Illuminate\Database\Eloquent\Model $model
     * @return void
     */
    public function apply(Builder $builder, Model $model)
    {
        $builder->with('comments');
    }
}

You can also customize your indexed data when you save models by leveraging the toSearchableArray method provided by Laravel Scout through the Searchable trait

Example:

class Product extends Model 
{
    use Searchable;

    /**
     * Get the indexable data array for the model.
     *
     * @return array
     */
    public function toSearchableArray()
    {
        $with = [
            'categories',
        ];

        $this->loadMissing($with);

        return $this->toArray();
    }
}

This example will make sure the categories relationship gets always loaded on the model when saving it.

Zero downtime reimport

While working in production, to keep your existing search experience available while reimporting your data, you also can use scout:import Artisan command:

php artisan scout:import

The command create new temporary index, import all models to it, and then switch to the index and remove old index.

Search

To be fully compatible with original scout package, this package does not add new methods.
So how we can build complex queries? There is two ways.
By default, when you pass a query to the search method, the engine builds a query_string query, so you can build queries like this

Product::search('(title:this OR description:this) AND (title:that OR description:that)')

If it's not enough in your case you can pass a callback to the query builder

$results = Product::search('zonga', function(\Elastic\Elasticsearch\Client $client, $body) {

    $minPriceAggregation = new MinAggregation('min_price');
    $minPriceAggregation->setField('price');
    
    $maxPriceAggregation = new MaxAggregation('max_price');
    $maxPriceAggregation->setField('price');
    
    $brandTermAggregation = new TermsAggregation('brand');
    $brandTermAggregation->setField('brand');

    $body->addAggregation($minPriceAggregation);
    $body->addAggregation($brandTermAggregation);
    
    return $client->search(['index' => 'products', 'body' => $body->toArray()])->asArray();
})->raw();

Note : The callback function will get 2 parameters. First one is $client and it is an object of \Elastic\Elasticsearch\Client class from elasticsearch/elasticsearch package. And the second one is $body which is an object of \ONGR\ElasticsearchDSL\Search from ongr/elasticsearch-dsl package. So, while as you can see the example above, $client->search(....) method will return an \Elastic\Elasticsearch\Response\Elasticsearch object. And you need to use asArray() method to get array result. Otherwise, the HitsIteratorAggregate class will throw an error. You can check the issue here.

Conditions

Scout supports only 3 conditions: ->where(column, value) (strict equation), ->whereIn(column, array) and ->whereNotIn(column, array):

Product::search('(title:this OR description:this) AND (title:that OR description:that)')
    ->where('price', 100)
    ->whereIn('type', ['used', 'like new'])
    ->whereNotIn('type', ['new', 'refurbished']);

Scout does not support any operators, but you can pass ElasticSearch terms like RangeQuery as value to ->where():

use ONGR\ElasticsearchDSL\Query\TermLevel\RangeQuery;

Product::search('(title:this OR description:this) AND (title:that OR description:that)')
    ->where('price', new RangeQuery('price', [
        RangeQuery::GTE => 100,
        RangeQuery::LTE => 1000,
    ]);

And if you just want to search using RangeQuery without any query_string, you can call the search() method directly and leave the param empty.

use ONGR\ElasticsearchDSL\Query\TermLevel\RangeQuery;

Product::search()
    ->where('price', new RangeQuery('price', [
        RangeQuery::GTE => 100,
    ]);

Full list of ElasticSearch terms is in vendor/handcraftedinthealps/elasticsearch-dsl/src/Query/TermLevel.

Search amongst multiple models

You can do it with MixedSearch class, just pass indices names separated by commas to the within method.

MixedSearch::search('title:Barcelona or to:Barcelona')
    within(implode(',', [
        (new Ticket())->searchableAs(),
        (new Book())->searchableAs(),
    ]))
->get();

In this example you will get collection of Ticket and Book models where ticket's arrival city or book title is Barcelona

Working with results

Often your response isn't collection of models but aggregations or models with higlights an so on. In this case you need to implement your own implementation of HitsIteratorAggregate and bind it in your service provider

Here is a case

🆓 License

Scout ElasticSearch is an open-sourced software licensed under the MIT license.