I am using a function score with a function filter to score a subset of
results higher. I specify to cache the function filter, but its performance
is slower and slower the more clauses I add to the filter.
A query with 2 geo_polygons clauses returns relatively fast (30ms), but the
more polygons clauses I add the slower it gets. With 50 polygons the call
slows to 1s. Does elasticsearch actually cache the filter?
Example query with 2 geo_polygons clauses:
{
"query": {
"function_score": {
"filter": {
"bool": {
"must": [
{
"term": {
"city": "LA"
}
}
]
}
},
"functions": [
{
"filter": {
"bool": {
"should": [
{
"geo_polygon": {
"location": {
"points": [
[
-118.3971081,
34.081519
],
[
-118.3440351,
34.081519
],
[
-118.3440351,
34.131086
],
[
-118.3971081,
34.131086
]
]
}
}
},
{
"geo_polygon": {
"location": {
"points": [
[
-118.3907139,
34.05576
],
[
-118.361375,
34.05576
],
[
-118.361375,
34.083811
],
[
-118.3907139,
34.083811
]
]
}
}
}
],
"_cache": true
}
},
"boost_factor": 2
}
],
"score_mode": "sum"
}
}
}
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