Just like date range aggregation, range aggregation is used to define buckets based on the ranges specified. In the following example, we will use range aggregation to group the products based on the number of products sold. The query is as follows:
#Aggs bases on Filters POST chapter8/_search { "size": 0, "aggs": { "price_range": { "range": { "field": "products_sold", "ranges": [ { "to": "10" }, { "from": "10", "to": "20" }, { "from": "20" } ] } } } }
The response is as follows:
{ .... "hits": { "total": 5, "max_score": 0, "hits": [] }, "aggregations": { "price_range": { "buckets": [ { "key": "*-10.0", "to": 10, "doc_count": 0 }, { "key": "10.0-20.0", "from": 10, "to": 20, "doc_count": ...
