Question

我们有多个方面显示单击过滤器（并将它们组合在一起）时将显示的结果数。像这样：

在介绍嵌套对象之前，以下将完成工作：

GET /x_v1/_search/
{
  "size": 0,
  "aggs": {
    "FilteredDescriptiveFeatures": {
      "filter": {
        "bool": {
          "must": [
            {
              "terms": {
                "breadcrumbs.categoryIds": [
                  "category"
                ]
              }
            },
            {
              "terms": {
                "products.sterile": [
                  "0"
                ]
              }
            }
          ]
        }
      },
      "aggs": {
        "DescriptiveFeatures": {
          "terms": {
            "field": "products.descriptiveFeatures",
            "size": 1000
          }
        }
      }
    }
  }
}

结果如下：

  "aggregations": {
    "FilteredDescriptiveFeatures": {
      "doc_count": 280,
      "DescriptiveFeatures": {
        "doc_count_error_upper_bound": 0,
        "sum_other_doc_count": 0,
        "buckets": [
          {
            "key": "somekey",
            "doc_count": 42
          },

虽然我们需要将products做成一个嵌套对象，但我目前正在尝试重写上面的内容以适应此更改。我的尝试如下所示。但是，它无法给出正确的结果，并且似乎未正确连接到过滤器。

GET /x_v2/_search/
{
  "size": 0,
  "aggs": {
    "FilteredDescriptiveFeatures": {
      "filter": {
        "bool": {
          "must": [
            {
              "terms": {
                "breadcrumbs.categoryIds": [
                  "category"
                ]
              }
            },
            {
              "nested": {
                "path": "products",
                "query": {
                  "terms": {
                    "products.sterile": [
                      "0"
                    ]
                  }
                }
              }
            }
          ]
        }
      },
      "aggs": {
        "nested": {
          "nested": {
            "path": "products"
          },
          "aggregations": {
            "DescriptiveFeatures": {
              "terms": {
                "field": "products.descriptiveFeatures",
                "size": 1000
              }
            }
          }
        }
      }
    }
  }
}

结果如下：

  "aggregations": {
    "FilteredDescriptiveFeatures": {
      "doc_count": 280,
      "nested": {
        "doc_count": 1437,
        "DescriptiveFeatures": {
          "doc_count_error_upper_bound": 0,
          "sum_other_doc_count": 0,
          "buckets": [
            {
              "key": "somekey",
              "doc_count": 164
            },

我还尝试将嵌套的定义放到更高的位置，以同时包含过滤器和aggs，但随后，不在嵌套对象中的过滤器术语面包屑.categoryId将不起作用。

我想做的甚至有可能吗？以及如何解决？

Answer 1

我从描述中所理解的是，您希望基于某些嵌套字段和非嵌套字段过滤结果，然后将聚合应用于嵌套字段。我创建了带有一些嵌套字段和非嵌套字段的样本索引和数据，并创建了一个查询

映射

    PUT stack-557722203
    {
      "mappings": {
        "_doc": {
          "properties": {
            "category": {
              "type": "text",
              "fields": {
                "keyword": {
                  "type": "keyword",
                  "ignore_above": 256
                }
              }
            },
            "user": {
              "type": "nested",       // NESTED FIELD
              "properties": {
                "fName": {
                  "type": "text",
                  "fields": {
                    "keyword": {
                      "type": "keyword",
                      "ignore_above": 256
                    }
                  }
                },
                "lName": {
                  "type": "text",
                  "fields": {
                    "keyword": {
                      "type": "keyword",
                      "ignore_above": 256
                    }
                  }
                },
                "type": {
                  "type": "text",
                  "fields": {
                    "keyword": {
                      "type": "keyword",
                      "ignore_above": 256
                    }
                  }
                }
              }
            }
          }
        }
      }
    }

样本数据

    POST _bulk
    {"index":{"_index":"stack-557722203","_id":"1","_type":"_doc"}}
    {"category":"X","user":[{"fName":"A","lName":"B","type":"X"},{"fName":"A","lName":"C","type":"X"},{"fName":"P","lName":"B","type":"Y"}]}
    {"index":{"_index":"stack-557722203","_id":"2","_type":"_doc"}}
    {"category":"X","user":[{"fName":"P","lName":"C","type":"Z"}]}
    {"index":{"_index":"stack-557722203","_id":"3","_type":"_doc"}}
    {"category":"X","user":[{"fName":"A","lName":"C","type":"Y"}]}
    {"index":{"_index":"stack-557722203","_id":"4","_type":"_doc"}}
    {"category":"Y","user":[{"fName":"A","lName":"C","type":"Y"}]}

查询

GET stack-557722203/_search
{
   "size": 0, 
   "query": {
    "bool": {
      "must": [
        {
          "nested": {
            "path": "user",
            "query": {
              "term": {
                "user.fName.keyword": {
                  "value": "A"
                }
              }
            }
          }
        },
        {
          "term": {
            "category.keyword": {
              "value": "X"
            }
          }
        }
      ]
    }
  },

  "aggs": {
    "group BylName": {
      "nested": {
        "path": "user"
      },
      "aggs": {
        "group By lName": {
         "terms": {
           "field": "user.lName.keyword",
           "size": 10
         },
         "aggs": {
           "reverse Nested": {
             "reverse_nested": {}    // NOTE THIS
           }
         }
        }
      }
    }
  }
}

输出

{
  "took": 18,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 2,
    "max_score": 0,
    "hits": []
  },
  "aggregations": {
    "group BylName": {
      "doc_count": 4,
      "group By lName": {
        "doc_count_error_upper_bound": 0,
        "sum_other_doc_count": 0,
        "buckets": [
          {
            "key": "B",
            "doc_count": 2,
            "reverse Nested": {
              "doc_count": 1
            }
          },
          {
            "key": "C",
            "doc_count": 2,
            "reverse Nested": {
              "doc_count": 2
            }
          }
        ]
      }
    }
  }
}

根据获取数据的差异，将映射更改为doc_count时Nested中更多的文档是由于Nested和Object(NonNested)文档的方式被存储。请参阅here以了解它们是如何在内部存储的。为了将它们重新连接到根文档，可以使用Reverse Nested聚合，然后将得到相同的结果。

希望这会有所帮助！

Answer 2

在您的FilteredDescriptiveFeatures步骤中，您退回所有具有一个带有sterile = 0产品的产品的文档

但是在nested step之后，您无需再次指定此过滤器。因此，在此步骤中将返回所有嵌套产品，因此您可以对所有产品（包括带有sterile = 0

的产品）进行术语汇总

您应该在嵌套步骤中移动无菌过滤器。而且就像Richa指出的那样，您需要在最后一步中使用reverse_nested聚合来计算elasticsearch文档而不是嵌套产品子文档。

您可以尝试此查询吗？

{
    "size": 0,
    "aggs": {
        "filteredCategory": {
            "filter": {
                "terms": {
                    "breadcrumbs.categoryIds": [
                        "category"
                    ]
                }
            },
            "aggs": {
                "nestedProducts": {
                    "nested": {
                        "path": "products"
                    },
                    "aggs": {
                        "filteredByProductsAttributes": {
                            "filter": {
                                "terms": {
                                    "products.sterile": [
                                        "0"
                                    ]
                                }
                            },
                            "aggs": {
                                "DescriptiveFeatures": {
                                    "terms": {
                                        "field": "products.descriptiveFeatures",
                                        "size": 1000
                                    },
                                    "aggs": {
                                        "productCount": {
                                            "reverse_nested": {}
                                        }
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}

具有混合嵌套/非嵌套过滤器的嵌套对象聚合项

2 个答案: