For example I have following 2 documents:
{"id":"1", "title":"elasticsearch", " description":"elasticsearch" }
{"id":"1", "title":"elasticsearch", " description":"bing" }
And following query:
{
"query" : {
"bool": {
"should": [
{
"match": {
"title": {
"query": "elasticsearch"
}
}
},
{
"match": {
"description": {
"query": "elasticsearch"
}
}
}]
}
}
}
The result score of documetn "1" is just the *SUM* of the scores of 2 sub
should clause, since both title and description contains "elasticsearch":
_explanation:
{
value: 0.4339554
*description: "sum of:*"
details: [2]
0:
{
value: 0.2169777
description: "weight(title:google in 0) [PerFieldSimilarity], result of:"
}
1:
{
value: 0.2169777
description: "weight(description:google in 0) [PerFieldSimilarity], result
of:"
}
}
The result score of document "2", however, is different:
explanation:
{
value: 0.04500804
*description: "product of:"*
details: [2]
0:
{
value: 0.09001608
}
1:
{
value: 0.5
*description: "coord(1/2)"*
}
The final score if NOT "*SUM of"* but *"product of"*, I think it is because
in document "2", the "description" field does not contains
"elastticsearch", that is, half of all sub should clause match the query
term, that is why *coord(1/2) *comes in explanation.
My question is, is it possible to change the score mode of SHOULD clause so
that, the final score of SHOULD clause is always the *SUM *of sub clause,
no matter whether the sub clause match the query term or not?
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