elasticsearch 2.4
We use phrase suggester against 10 millions doc, extract of suggest part from our search template :
"suggest": {
"spellchecker": {
"text": "{{my_query}}",
"phrase": {
"field": "{{field_name}}",
"confidence": 1,
"size": 5,
"max_errors": 3,
"highlight": {
"pre_tag": "<b>",
"post_tag": "</b>"
},
"direct_generator": [
{
"field": "{{field_name}}",
"suggest_mode": "always",
"prefix_length": 0,
"min_word_length": 1,
"min_doc_freq" : 200,
"string_distance": "damerau_levenshtein"
}
],
"collate": {
"query": {
"inline": {
"match_phrase": {
"{{field_name}}": "{{=<% %>=}}{{suggestion}}<%={{ }}=%>"
}
}
},
"prune": false
}
}
}
},
but it seems for 30% of cases, it select candidates that dont match better the collate query (which is for us, a simple match_phrase query).
So now we run the match queries after and select the highest score , for all candidates, and found this is very good .
My question is, is it possible that collate query score count for candidate ranking ?
(Sorry, I didnt manage to reproduce it with a simple example).