Elasticsearch is a distributed RESTful search and analytics engine capable of solving a growing number of use cases: application search, security analytics, metrics, logging, etc.
API Platform comes natively with the reading support for Elasticsearch. It uses internally the official PHP client for Elasticsearch: Elasticsearch-PHP.
Be careful, API Platform only supports Elasticsearch >= 7.11.0 < 8.0.
To enable the reading support for Elasticsearch, simply require the Elasticsearch-PHP package using Composer:
composer require elasticsearch/elasticsearch:^7.11
Then, enable it inside the API Platform configuration:
# api/config/packages/api_platform.yaml
parameters:
# ...
env(ELASTICSEARCH_HOST): 'http://localhost:9200'
api_platform:
# ...
mapping:
paths: ['%kernel.project_dir%/src/Model']
elasticsearch:
hosts: ['%env(ELASTICSEARCH_HOST)%']
#...
API Platform follows the best practices of Elasticsearch:
_doc
type should be used;This involves having mappings and models which absolutely match each other.
Here is an example of mappings for 2 resources, User
and Tweet
, and their models:
PUT user
{
"mappings": {
"_doc": {
"properties": {
"id": {
"type": "keyword"
},
"gender": {
"type": "keyword"
},
"age": {
"type": "integer"
},
"first_name": {
"type": "text"
},
"last_name": {
"type": "text"
},
"tweets": {
"type": "nested",
"properties": {
"id": {
"type": "keyword"
},
"date": {
"type": "date",
"format": "yyyy-MM-dd HH:mm:ss"
},
"message": {
"type": "text"
}
},
"dynamic": "strict"
}
},
"dynamic": "strict"
}
}
}
PUT tweet
{
"mappings": {
"_doc": {
"properties": {
"id": {
"type": "keyword"
},
"author": {
"properties": {
"id": {
"type": "keyword"
},
"gender": {
"type": "keyword"
},
"age": {
"type": "integer"
},
"first_name": {
"type": "text"
},
"last_name": {
"type": "text"
}
},
"dynamic": "strict"
},
"date": {
"type": "date",
"format": "yyyy-MM-dd HH:mm:ss"
},
"message": {
"type": "text"
}
},
"dynamic": "strict"
}
}
}
<?php
// api/src/Model/User.php
namespace App\Model;
use ApiPlatform\Elasticsearch\State\CollectionProvider;
use ApiPlatform\Elasticsearch\State\ItemProvider;
use ApiPlatform\Elasticsearch\State\Options;
use ApiPlatform\Metadata\ApiProperty;
use ApiPlatform\Metadata\ApiResource;
use ApiPlatform\Metadata\Get;
use ApiPlatform\Metadata\GetCollection;
#[ApiResource(
operations: [
new GetCollection(provider: CollectionProvider::class, stateOptions: new Options(index: 'user')),
new Get(provider: ItemProvider::class, stateOptions: new Options(index: 'user')),
],
)]
class User
{
#[ApiProperty(identifier: true)]
public string $id = '';
public string $gender;
public int $age;
public string $firstName;
public string $lastName;
/**
* @var Tweet[]
*/
public iterable $tweets = [];
}
<?php
// api/src/Model/Tweet.php
namespace App\Model;
use ApiPlatform\Elasticsearch\State\CollectionProvider;
use ApiPlatform\Elasticsearch\State\ItemProvider;
use ApiPlatform\Elasticsearch\State\Options;
use ApiPlatform\Metadata\ApiProperty;
use ApiPlatform\Metadata\ApiResource;
use ApiPlatform\Metadata\Get;
use ApiPlatform\Metadata\GetCollection;
#[ApiResource(
operations: [
new GetCollection(provider: CollectionProvider::class, stateOptions: new Options(index: 'tweet')),
new Get(provider: ItemProvider::class, stateOptions: new Options(index: 'tweet')),
],
)]
class Tweet
{
#[ApiProperty(identifier: true)]
public string $id = '';
public User $author;
public \DateTimeInterface $date;
public string $message;
}
API Platform will automatically disable write operations and snake case document fields will automatically be converted to camel case object properties during serialization.
Keep in mind that it is your responsibility to populate your Elasticsearch index. To do so, you can use Logstash, a custom state processors or any other mechanism that suits your project (such as an ETL).
You’re done! The API is now ready to use.
See how to use Elasticsearch filters and how to create Elasticsearch custom filters in the Filters chapter.
See how to create Elasticsearch custom extensions in the Extensions chapter.
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