ElasticSearch function_score query with filters - elasticsearch

Question

Trying to create a search that will bring back results of location that are about 500m away from certain geo point.
I need to filter results from this search based on if location is empty in the source, or not.
I tried things like this:
"filtered" : {
"filter": {
"missing" : { "field" : "location" }
}
}
This is the search JSON I got:
{"query": {
"function_score": {
"query": {
"bool": {
"must": [
{
"match": {"fieldA": "value"}
},
{
"match": { "fieldB": "value"}
}
]
}
},
"functions": [{
"gauss": {
"location": {
"origin": "'.$lat.','.$lon.'",
"scale": "500m",
"offset": "0km",
"decay": 0.33
}
}
}]
}
}
}
I tried putting the filter in different places in the query but it didn't work for me, so I know I'm doing something fundamentally wrong with how the query is structured. In the future I want to add more scoring logic and other filters, but can't find a good example of such queries.
What I should do to make it work?

Answer 1

You can use filtered query with geo_distance to filter out the results first. You can also use "weight" in function_score to explicit boost the distance over the "match" queries:
{
"query": {
"function_score": {
"query": {
"filtered": {
"query": {
"bool": {
"must": [
{
"match": {
"fieldA": "value"
}
},
{
"match": {
"fieldB": "value"
}
}
]
}
},
"filter": {
"geo_distance" : {
"distance" : "500m",
"location" : "'.$lat.','.$lon.'"
}
}
}
},
"functions": [
{
"gauss": {
"location": {
"origin": "'.$lat.','.$lon.'",
"scale": "500m",
"offset": "0km",
"decay": 0.33
}
},
"weight": "3"
}
]
}
}
}