地理距离聚合 | Elasticsearch: 权威指南 | Elastic
2024-12-24
geo_distance
聚合
对一些搜索非常有用,例如找到所有距离我 1km 以内的披萨店。搜索结果应该也的确被限制在用户指定 1km 范围内,但是我们可以添加在 2km 范围内找到的其他结果:
GET /attractions/restaurant/_search { "query": { "bool": { "must": { "match": { "name": "pizza" } }, "filter": { "geo_bounding_box": { "location": { "top_left": { "lat": 40.8, "lon": -74.1 }, "bottom_right": { "lat": 40.4, "lon": -73.7 } } } } } }, "aggs": { "per_ring": { "geo_distance": { "field": "location", "unit": "km", "origin": { "lat": 40.712, "lon": -73.988 }, "ranges": [ { "from": 0, "to": 1 }, { "from": 1, "to": 2 } ] } } }, "post_filter": { "geo_distance": { "distance": "1km", "location": { "lat": 40.712, "lon": -73.988 } } } }
主查询查找名称中含有 | |
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"hits": { "total": 1, "max_score": 0.15342641, "hits": [ { "_index": "attractions", "_type": "restaurant", "_id": "3", "_score": 0.15342641, "_source": { "name": "Mini Munchies Pizza", "location": [ -73.983, 40.719 ] } } ] }, "aggregations": { "per_ring": { "buckets": [ { "key": "*-1.0", "from": 0, "to": 1, "doc_count": 1 }, { "key": "1.0-2.0", "from": 1, "to": 2, "doc_count": 1 } ] } }
在这个例子中,我们计算了落在每个同心环内的饭店数量。当然,我们可以在 per_rings
聚合下面嵌套子聚合来计算每个环的平均价格、最受欢迎程度,等等。
官方地址:https://www.elastic.co/guide/cn/elasticsearch/guide/current/geo-distance-agg.html