I am trying to wire up a search that gives documents near a location a
higher ranking. Pretty simple but in our case some of the documents won't
always have a location associated with them. When using a function_score
query the documents with no location always get scored higher than the ones
with a location, even if I search with the exact coordinates. Here is an
example:
Documents:
PUT /test/colors/1
{
"name":"red"
}
PUT /test/colors/2
{
"name":"red",
"location":{"lat":47,"lon":-122}
}
Mapping:
"mappings" : {
"colors" : {
"properties" : {
"location" : {
"lat_lon" : true,
"type" : "geo_point",
"geohash" : true
},
"name" : {
"type" : "string"
}
}
}
}
Query:
{
"query":{
"function_score":{
"query":{
"multi_match":{
"type":"phrase",
"query":"red",
"fields":["name"],
"tie_breaker":0.3
}
},
"functions":[
{
"gauss": {
"location": {
"origin": "47,-122",
"scale": "10mi"
}
}
}
]
}
}
}
Results:
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0.30685282,
"hits": [
{
"_index": "test",
"_type": "colors",
"_id": "1",
"_score": 0.30685282,
"_source": {
"name": "red"
}
},
{
"_index": "test",
"_type": "colors",
"_id": "2",
"_score": 0.30685282,
"_source": {
"name": "red",
"location": {
"lat": 47,
"lon": -122
}
}
}
]
}
}
Is there any way to factor proximity in for some results and not others?
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