A metric aggregation that computes the bounding box containing all geo_point values for a field.
Example:
PUT /museums { "mappings": { "properties": { "location": { "type": "geo_point" } } } } POST /museums/_bulk?refresh {"index":{"_id":1}} {"location": "52.374081,4.912350", "name": "NEMO Science Museum"} {"index":{"_id":2}} {"location": "52.369219,4.901618", "name": "Museum Het Rembrandthuis"} {"index":{"_id":3}} {"location": "52.371667,4.914722", "name": "Nederlands Scheepvaartmuseum"} {"index":{"_id":4}} {"location": "51.222900,4.405200", "name": "Letterenhuis"} {"index":{"_id":5}} {"location": "48.861111,2.336389", "name": "Musée du Louvre"} {"index":{"_id":6}} {"location": "48.860000,2.327000", "name": "Musée d'Orsay"} POST /museums/_search?size=0 { "query" : { "match" : { "name" : "musée" } }, "aggs" : { "viewport" : { "geo_bounds" : { "field" : "location", "wrap_longitude" : true } } } }
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The above aggregation demonstrates how one would compute the bounding box of the location field for all documents with a business type of shop
The response for the above aggregation:
{ ... "aggregations": { "viewport": { "bounds": { "top_left": { "lat": 48.86111099738628, "lon": 2.3269999679178 }, "bottom_right": { "lat": 48.85999997612089, "lon": 2.3363889567553997 } } } } }