You seriously don't want 3..250 length ngrams!!!! That's ENORMOUS

Typically set min/max to 3 or 4, and that's it

http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/_ngrams_for_partial_matching.html#_ngrams_for_partial_matching


On 20 June 2014 16:05, Tanguy Bernard <bernardtanguy1...@gmail.com> wrote:

> Thank you Cédric Hourcade !
>
> Le vendredi 20 juin 2014 15:32:29 UTC+2, Cédric Hourcade a écrit :
>
>> If your base64 encodes are long, they are going to be splited in a lot
>> of tokens by the standard tokenizer.
>>
>> Theses tokens are often going to be a lot longer than standard words,
>> so your nGram filter will generate even more tokens, a lot more than
>> with standard text. That may be your problem there.
>>
>> You should really try to strip the encoded images with a simple regex
>> from your documents before indexing them. If you need to keep the
>> source, put the raw text in an unindexed field, and the cleaned one in
>> another.
>>
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