I publish my own answer :)
so following the exemple
http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/custom-analyzers.html
you can add custom analyzers simply at the index creation :)
$indexParams['body'] = $this->config['indexsetting'];
$result = $this->client->indices()->create($indexParams);
given that for example, $this->config['indexsetting'] is the following yaml
(that have to be converted in php array) :
indexsetting:
analysis:
analyzer:
nom_analyzer:
type: custom
tokenizer: standard
filter: [ trim, lowercase, asciifolding ]
Le lundi 23 juin 2014 14:44:49 UTC+2, Olivier Revollat a écrit :
>
> Hello I currently creating an elasticsearch extension for Bolt (a [very
> cool] symfony2 based CMS).
> For the PHP client i'm using elasticsearch-php.
>
> Great ! I already wrote the code that create the index, mapping and add
> some data :)
>
> Now I would like to customize the analyzer, so OK in the mapping I could
> tell (as described in
> http://www.elasticsearch.org/guide/en/elasticsearch/client/php-api/current/_index_operations.html)
>
> :
>
>
> $myTypeMapping = array(
> '_source' => array(
> 'enabled' => true
> ),
> 'properties' => array(
> 'first_name' => array(
> 'type' => 'string',
> 'analyzer' => '*whatever_analyzer*'
> ),
> 'age' => array(
> 'type' => 'integer'
> )
> )
> );
>
>
> But I don't really understand* how/where to declare the so called
> **whatever_analyzer
> *Instead of the default "standard" analyzer ... can you point me to the
> example in the documentation ?
>
> For example, if I want this kind of analyzers, how ca I declare this with
> elasticsearch-php ?
>
> analyzer:
> default_index:
> type: "custom"
> char_filter: html_strip
> tokenizer: "standard" #
> "my_edge_ngram_tokenizer"
> filter: [ trim, lowercase, stop_fr,
> fr_stemmer, my_edge_ngram_filter, asciifolding ]
> default_search:
> type: custom
> tokenizer: standard
> filter: [ trim, lowercase, stop_fr,
> fr_stemmer, asciifolding ]
> mots_clefs:
> type: "custom"
> tokenizer: "keyword"
> filter: [ standard, trim, lowercase,
> asciifolding ]
> filter:
> my_edge_ngram_filter:
> type: "edgeNGram"
> min_gram: "3"
> max_gram: "20"
> stop_fr:
> type: "stop"
> stopwords: [ _french_ ]
> fr_stemmer:
> type: "stemmer"
> name: "french"
>
>
>
> Thanks :)
>
>
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