Search - keyword vs text and ngram

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1

Hi, I have an index like:

"name": {
"type": "keyword"
},
"address": {
"type": "keyword"
},
"addressText": {
"type": "text",
"analyzer": "autocomplete",
"search_analyzer": "autocomplete_search"
},
"nameText": {
"type": "text",
"analyzer": "autocomplete",
"search_analyzer": "autocomplete_search"
},

autocomplete_search

"autocomplete_filter": {
"type": "edge_ngram",
"min_gram": 1,
"max_gram": 50,
"token_chars": [
"letter"
]
}

I use "Text" fields for autocomplete and normal fields for exact match. I have a problem with special character when i use keyword type for search.

For the exact match, i use the entire word and I have a problem with so many special character, i have data from all languages, like ( ' , - , _ ) for example.

thank you in advance for your support.

2

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