elasticsearch - 下面的 Elasticsearch 查询中的错误结果

Question

我是 flex 搜索的新手，并且是第一次使用它为数据建立索引并对其进行搜索。

我写了这段代码来查找索引中的术语数:

{
  {
    "size": 0
  },
  "aggs": {
    "BookID": {
      "terms": {
        "field": "bookID",
        "size": 100000
      },
      "aggs": {
        "total_Chapter": {
          "nested": {
            "path": "chapterData"
          },
          "aggs": {
            "termsInChapter": {
              "filters": {
                "filters": {
                  "king": {
                    "query_string": {
                      "query": "king",
                      "default_field": "chapter.data"
                    }
                  },
                  "queen": {
                    "query_string": {
                      "query": "queen",
                      "default_field": "chapter.data"
                    }
                  },
                  "apple": {
                    "query_string": {
                      "query": "apple",
                      "default_field": "chapter.data"
                    }
                  }
                }
              }
            },
            "termsInChapter_count": {
              "value_count": {
                "field": "termsInChapter"
              }
            }
          }
        }
      }
    }
  }
}

但是不知何故结果返回0。我不知道我在此查询中做错了什么。

这是此查询输出的一部分:

"aggregations": {
    "BookID": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": 1,
          "doc_count": 1,
          "total_Chapter": {
            "doc_count": 23,
            "termsInChapter": {
              "buckets": {
                "apple": {
                  "doc_count": 2
                },
                "king": {
                  "doc_count": 1
                },
                "queen": {
                  "doc_count": 1
                }
              }
            },
            "termsInChapter_count": {
              "value": 0              <=========This should return 3
            }
          }
        },
        {
          "key": 2,
          "doc_count": 1,
          "total_Chapter": {
            "doc_count": 23,
            "termsInChapter": {
              "buckets": {
                "apple": {
                  "doc_count": 0
                },
                "king": {
                  "doc_count": 3
                },
                "queen": {
                  "doc_count": 2
                }
              }
            },
            "termsInChapter_count": {
              "value": 0
            }
          }
        },

在此先感谢您的帮助。

Answer 1

您的termsInChapter_count聚合需要引用一个字段，而不是聚合名称，这就是您的解决方案不起作用的原因。

为此，您需要一种sum_bucket类型的聚合:

"termsInChapter_count": {
  "sum_bucket": {
    "buckets_path": "termsInChapter._count"
  }
}

之后编辑

  "aggs": {
    "termsInChapter": {
      "filters": {
        "filters": {
          "king": {
            "query_string": {
              "query": "king",
              "default_field": "chapter.data"
            }
          },
          "queen": {
            "query_string": {
              "query": "queen",
              "default_field": "chapter.data"
            }
          },
          "apple": {
            "query_string": {
              "query": "apple",
              "default_field": "chapter.data"
            }
          }
        }
      },
      "aggs": {
        "filter_zero_matches_buckets": {
          "bucket_selector": {
            "buckets_path": {
              "hits": "_count"
            },
            "script": "params.hits > 0"
          }
        }
      }
    },
    "termsInChapter_count": {
      "bucket_script": {
        "buckets_path": {
          "bucket_count": "termsInChapter._bucket_count"
        },
        "script": "params.bucket_count"
      }
    }
  }

您在结果中寻找的是termsInChapter_count值。