A lightweight PHP 7.0+ client for Elasticsearch, providing features over Elasticsearch-PHP
This branch is tested and compatible with ElasticSearch 6.*
The compatibility with ElasticSearch 5.* is supported, and should work, but is to be considered hazardous.
Install using composer:
$ composer require novaway/elasticsearch-client
The first thing you'll need to do to use this library is to instatiate an index. This will be the keystone of the client.
$index = new \Novaway\ElasticsearchClient\Index(
['127.0.0.1:9200'], # elasticsearch hosts
'main_index', # index name
[
'settings' => [
'number_of_shards' => 3,
'number_of_replicas' => 2
],
'mappings' => [
'my_type' => [
'_source' => [
'enabled' => true
],
'properties' => [
'first_name' => [
'type' => 'string',
'analyzer' => 'standard'
],
'age' => [
'type' => 'integer'
]
]
]
]
]
);
In order to be searched, objects should be indexed as a serialized version. In order to be indexed, Object should implement \Novaway\ElasticsearchClient\Indexable
interface.
By default, objects are serialized with Elasticsearch-PHP's SmartSerializer, but you can choose to use a custom serializer.
$objectIndexer = new \Novaway\ElasticsearchClient\ObjectIndexer($index);
$objectIndexer->index($object, 'my_type');
To remove an object from the index, the process is still
$objectIndexer = new \Novaway\ElasticsearchClient\ObjectIndexer($index);
$objectIndexer->remove($object, 'my_type');
// Alternatively, you can remove an indexed object knowing only it's ID.
$objectIndexer->removeById($objectId, 'my_type');
First, create a QueryExecutor
.
$queryExecutor = new \Novaway\ElasticsearchClient\QueryExecutor($index);
Use the QueryBuilder
to build your query and execute it.
use Novaway\ElasticsearchClient\Query\CombiningFactor;
$queryBody = QueryBuilder::createNew()
->match('first_name', 'John', CombiningFactor::MUST)
->getQueryBody()
;
$queryExecutor->execute($queryBody, 'my_type');
The QueryBuilder
allow you to define a limit and an offset for a search result, and choose the minimum score to display.
const MIN_SCORE = 0.4;
const OFFSET = 0;
const LIMIT = 10;
$queryBuilder = QueryBuilder::createNew(0, 10, 0.3);
This client provide several ways to improve querying :
- Filtering (missing documentation)
- Aggregations
- Result Formating (missing documentation)
You might want, for some reason, to purge an index. The reload
method drops and recreates the index.
$index->reload();
You will want to reindex all your data sometimes.
It is possible to do it without downtime using the hotswap mechanisme
$index->hotswapToTmp();
// at that point, all your search request will go to the tmp index, and your create/delete will go to the main index
// when your are done reindexing your data, simply call
$index->hotswapToMain()
If you are using this library in a symfony project, we recommend to use it as service.
# services.yml
parameters:
myapp.search.myindex.config:
settings:
number_of_shards : 1
number_of_replicas : 1
mappings:
my_type:
_source : { enabled : true }
properties:
first_name:
type: string
analyzer: standard
age:
type: integer
services:
myapp.search.index:
class: Novaway\ElasticsearchClient\Index
arguments:
- ['127.0.0.1:9200'] #define it in the parameter.yml file
- 'myapp_myindex_%kernel.environment%'
- 'myapp.search.myindex.config'
myapp.search.object_indexer:
class: Novaway\ElasticsearchClient\ObjectIndexer
arguments:
- '@myapp.search.index'
myapp.search.query_executor:
class: Novaway\ElasticsearchClient\QueryExecutor
arguments:
- '@myapp.search.index'
Then you'll only have to work with the myapp.search.object_indexer
and myapp.search.query_executor
services.
A testing environment is provided using a dockerized version of elasticsearch.
Testing is done using the Atoum framework for unit testing and the Behat framework for behavior testing.
A Makefile
provide useful commands for testing, so you can run the full test suite by running :
$ make test
This library is published under MIT license