This document provides an overview of Elasticsearch and how to integrate it with Symfony. It discusses how Elasticsearch is a search engine that uses JSON documents and distributed indexing, while SQL is a relational database. It then covers how to install the Elasticsearch PHP client, connect to Elasticsearch from Symfony, perform queries, create and manage indexes, index and search documents, and delete documents.

1. Elasticsearch &
Symfony Integration

2. Elasticsearch
• Powerful Search & Analytics
• Object based documents
• Every field is indexed
• Distributed & Auto Scaling
• JSON, Nested Data & All Searchable

3. SQL vs ES

4. • SQL is Relational, ES is a search engine
• SQL does binary matches, ES does binary +
relevance
• SQL is easier for vertical scaling, ES is better in
horizontal scaling

5. database
table1
table2
row1
row3
row3
row2
row2
row1
index
type1
type2
document1
document3
document2
document3
document2
document1
SQL World ES World

6. Scaaa…aaaling
• Easy Horizontal Scaling
• Nodes
• Shards
• Replicas
• Request Handling by any node

8. ES takes REST

9. :verb /:index/:type/:document
{
“key”: “value”,
“complex”: [1, 2]
}

10. Symfony Integration

11. Installation
{
"require": {
"elasticsearch/elasticsearch": "~1.0"
}
}

12. Including in Project
require 'vendor/autoload.php';
$client = new ElasticsearchClient();

13. Connecting to remote server
$params = array();
$params['hosts'] = array (
'192.168.1.1:9200',
'192.168.1.2',
'mydomain.server.com:9201',
'mydomain2.server.com',
'https://localhost',
'https://192.168.1.3:9200',
'http://user:pass@localhost:9200',
'https://user:pass@localhost:9200', // SSL + HTTP Basic Auth
);
$client = new ElasticsearchClient($params);

14. Logging
$params['logging'] = true;
$params['logPath'] = '/var/logs/elasticsearch/
elasticsearch.log';
http://www.elastic.co/guide/en/elasticsearch/client/php-api/current/_configuration.html

15. The Query
{
"query" : {
"match" : {
"content" : "quick brown fox"
}
},
"highlight" : {
"fields" : {
"content" : {}
}
}
}

16. The Query (in PHP)
$params['body'] =
array(
'query' => array(
'match' => array(
'content' => 'quick brown fox'
)
),
'highlight' => array(
'fields' => array(
'content' => new stdClass()
)
)
);
$results = $client->search($params);

17. Index Creation
$client = new ElasticsearchClient();
$indexParams['index'] = 'my_index';
// Index Settings
$indexParams['body']['settings']['number_of_shards'] = 3;
$indexParams['body']['settings']['number_of_replicas'] = 2;
// Example Index Mapping
$myTypeMapping = array(
'_source' => array(
'enabled' => true
),
'properties' => array(
'first_name' => array(
'type' => 'string',
'analyzer' => 'standard'
),
'age' => array(
'type' => 'integer'
)
)
);
$indexParams['body']['mappings']['my_type'] = $myTypeMapping;
// Create the index
$client->indices()->create($indexParams);

18. Indexing
$params = array();
$params['body'] = array('testField' => 'abc');
$params['index'] = 'my_index';
$params['type'] = 'my_type';
$params['id'] = 'my_id';
// Document will be indexed to my_index/my_type/my_id
$ret = $client->index($params);

19. Upsert & Bulk
for($i = 0; $i < 100; $i++) {
$params['body'][] = array(
'update' => array(
'_id' => $i
)
);
$params['body'][] = array(
'doc_as_upsert' => 'true',
'doc' => array(
'my_field' => 'my_value',
'second_field' => 'some more values'
)
);
}
$responses = $client->bulk($params);

20. Search
curl -XGET 'localhost:9200/my_index/my_type/_search' -d '{
"query" : {
"match" : {
"testField" : "abc"
}
}
}'

21. Search (in PHP)
$params['index'] = 'my_index';
$params['type'] = 'my_type';
$params['body']['query']['match']['testField'] = 'abc';
$results = $client->search($params);

22. Delete
$deleteParams = array();
$deleteParams['index'] = 'my_index';
$deleteParams['type'] = 'my_type';
$deleteParams['id'] = ‘my_id';
$retDelete = $client->delete($deleteParams);

23. • http://www.elastic.co/guide/en/elasticsearch/client/
php-api/current/

24. Debarko De
+91 9986465883
debarko89@gmail.com
@debarko