[英]ElasticSearch average aggregation in results
I want to get average price in top 10 sale products, so I do the following query: 我想获得前10大促销产品的平均价格,因此我执行以下查询:
{
"aggs": {
"top_sale_avg_price": {
"avg": {"field": "price"},
"aggs": {
"top_sale_hits": {
"top_hits": {
"sort": [{"buy_count": {"order": "desc"}}],
"size": 10
}
}
}
}
}
}
Then I get an error, it says "AggregationInitializationException[Aggregator [top_sale_avg_price] of type [avg] cannot accept sub-aggregations]"
然后我得到一个错误,它说
"AggregationInitializationException[Aggregator [top_sale_avg_price] of type [avg] cannot accept sub-aggregations]"
Top hits will find the ten documents that best match your query (ie score highest). 热门搜索将找到与您的查询最匹配(即得分最高)的十个文档。 The sort is then performed on this result set - so top hits won't work for you.
然后对这个结果集进行排序-因此,热门歌曲对您不起作用。
You also can't nest top_hits
and avg
inside each other - you can only nest inside a bucket (eg terms, histogram, range, etc.) 您也不能将
top_hits
和avg
彼此嵌套-您只能嵌套在存储桶中(例如,术语,直方图,范围等)
To meet your requirements, you could run 2 queries. 为了满足您的要求,您可以运行2个查询。 The first to find the matching documents (top ten sale products):
首先找到匹配的文件(十大销售产品):
{
"fields" : ["_id"],
"sort": [
{ "buy_count": { "order": "desc" }}
],
"size":10,
"query": {
"match_all": {}
}
}'
The second query to get an average sale price - you'll need to populate the ids. 第二个查询以获取平均销售价格-您需要填充ID。
{
"filter" : {
"ids": {
"values": [ "07cfbc09-360b-10d8-e053-28ab48a5c296", "07cf438e-7830-19ec-e053-28ab48a59c0b"]}
},
"aggs" : {
"top_sale_avg_price" : {
"avg": {"field" : "price" } }
}
}'
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