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As we've established in From the Viewport to the Query, any rectangle or bounding box can be targeted using the geo_bounding_box query.
Similarly, any polygon (incl. polygon circles) can be targeted through the geo_polygon query.
But what if we want all points that lie within a certain distance from an origin point? Think the nearest restaurants, the closest Uber driver, etc. That's what the geo_distance query is for.
I want to retrieve restaurants that serve pizza and lie within 0.5 miles of an origin geo point. I also want to give precedence to those that are closer to the origin:
Imaginary Restaurants in Midtown Manhattan. Map courtesy of http://geojson.io/
Let's first set up an index:
Then index a few restaurants:
We'll first apply a simple match query to target pizza restaurants:
Next, we'll be utilizing a geo_distance query but will need to keep in mind that it's a purely boolean, constant-score query — meaning it'll assign a score of 1 to any docs it matches and filter out those that are too far away:
So on top of that, we'll apply a decay function_score query which is a fancy way of saying "the further one moves from the origin, the lower the location's score":
Let's envelop them all in a must query:
POST restaurants/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"menu": "pizza"
}
},
{
"geo_distance": {
"distance": "0.5mi",
"location": [-73.9982, 40.7388]
}
},
{
"function_score": {
"functions": [
{
"exp": {
"location": {
"origin": [-73.9982, 40.7388],
"scale": "0.5mi"
}
}
}
]
}
}
]
}
}
}