通過多個字段聚合並在ElasticSearch中計數

Question

我有一個包含以下數據的索引：

{
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl8H042YsxaK6w02jY",
        "_score": 1,
        "_source": {
          "user": "102",
          "song": "1",
          "created": "12-28-2018 19:12:12"
        }
      },
      {
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl8PM5zqmU2ne0dY9W",
        "_score": 1,
        "_source": {
          "user": "102",
          "song": "5",
          "created": "01-1-2018 23:12:12"
        }
      },
      {
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl8PPx2YsxaK6w02jc",
        "_score": 1,
        "_source": {
          "user": "102",
          "song": "5",
          "created": "01-1-2018 23:12:12"
        }
      },
      {
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl8Xdm2YsxaK6w02jf",
        "_score": 1,
        "_source": {
          "user": "102",
          "song": "5",
          "created": "06-10-2018 15:16:12"
        }
      },
      {
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl8XgvzqmU2ne0dY9a",
        "_score": 1,
        "_source": {
          "user": "102",
          "song": "5",
          "created": "06-10-2018 15:16:12"
        }
      },
      {
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl8ZLwzqmU2ne0dY9d",
        "_score": 1,
        "_source": {
          "user": "103",
          "song": "5",
          "created": "06-10-2018 15:16:12"
        }
      },
      {
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl8aF1zqmU2ne0dY9e",
        "_score": 1,
        "_source": {
          "user": "103",
          "song": "6",
          "created": "06-10-2018 15:16:12"
        }
      },
      {
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl79hm2YsxaK6w02jW",
        "_score": 1,
        "_source": {
          "user": "102",
          "song": "1",
          "created": "1-02-2018 13:12:12"
        }
      },
      {
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl8O1nzqmU2ne0dY9U",
        "_score": 1,
        "_source": {
          "user": "102",
          "song": "5",
          "created": "01-1-2018 23:12:12"
        }
      },
      {
        "_index": "recommender",
        "_type": "doc",
        "_id": "AWZl8O9F2YsxaK6w02ja",
        "_score": 1,
        "_source": {
          "user": "102",
          "song": "5",
          "created": "01-1-2018 23:12:12"
        }
      }

我想統計每個用戶的歌曲數。 因此，我可以得到這樣的數據：用戶102播放了歌曲5總共4次。

我是蘋果，算不上。 用戶數或否。 的歌曲分開。 但是，無法將歌曲和用戶聚集在一起。

POST /eventindex/_search?size=0
{
    "aggs" : {
        "doc" : {
            "terms" : { "field" : "user" }
        }
    }
}

我讀到可以使用子聚合並嘗試了以下操作：

POST /recommender/_search?size=0

{
      "aggs": {
        "doc": {
          "nested": {
            "path": "docs"
          },
          "aggs": {
            "name": {
              "terms": {
                "field": "user"
              },
              "aggs": {
                "name": {
                  "terms": {
                    "field": "song"
                  }
                }
              }
            }
          }
        }
      }
    }
}

但是，這沒有用。 解決這個問題的正確方法是什么？

Answer 1

希望這可以解決您的問題

 POST /recommender/_search?size=0 { "aggs": { "song": { "terms": { "field": "song" }, "aggs": { "user": { "terms": { "field": "user" } } } } } } 

該查詢將為每首歌曲輸出單獨的用戶計數。