elasticsearch Elasticsearch组和聚合嵌套值

我希望输入一个请求数据来构建如下内容：

Categories:
 - laptops (5)
 - accessories (50)
 - monitors (10)
 -- above part is easy --

Attributest for actual category ex. laptops:
 - card reder:
  - MMC (1)
  - SD (5)
 - resolution:
  - 1024x768 (2)
  - 2048x1536 (3)

{
    "mappings": {
    "product": {
        "properties": {
            "name": {
                "type": "string"
            },
            "categoryName": {
                "type": "string",
               "index": "not_analyzed"
            },
            "priceBrutto": {
                "type": "float"
            },
            "categoryCode": {
                "type": "integer"
            },
            "productAttributeFields" : {
                "properties" : {
                    "name" : {
                        "index" : "not_analyzed",
                        "type" : "string"
                    },
                    "value" : {
                        "index" : "not_analyzed",
                        "type" : "string"
                    }
                }
            }
         }
      }
   }
}

Array
(
    [took] => 132
    [timed_out] => 
    [_shards] => Array
        (
            [total] => 1
            [successful] => 1
            [failed] => 0
        )

    [hits] => Array
        (
            [total] => 631
            [max_score] => 0
            [hits] => Array
                (
                )

        )

    [aggregations] => Array
        (
            [attrs] => Array
                (
                    [doc_count_error_upper_bound] => 0
                    [sum_other_doc_count] => 4608
                    [buckets] => Array
                        (
                            [0] => Array
                                (
                                    [key] => Resolution
                                    [doc_count] => 619
                                    [attrsValues] => Array
                                        (
                                            [doc_count_error_upper_bound] => 0
                                            [sum_other_doc_count] => 14199
                                            [buckets] => Array
                                                (
                                                    [0] => Array
                                                        (
                                                            [key] => 2048x1536
                                                            [doc_count] => 123
                                                        )

                                                    [1] => Array
                                                        (
                                                            [key] => 1024x768
                                                            [doc_count] => 3
                                                        )

                                                )

                                        )

                                )

                            [1] => Array
                                (
                                    [key] => Memory Readers
                                    [doc_count] => 618
                                    [wartosci] => Array
                                        (
                                            [doc_count_error_upper_bound] => 0
                                            [sum_other_doc_count] => 14185
                                            [buckets] => Array
                                                (
                                                    [0] => Array
                                                        (
                                                            [key] => MMC
                                                            [doc_count] => 431
                                                        )

                                                    [1] => Array
                                                        (
                                                            [key] => SD
                                                            [doc_count] => 430
                                                        )

                                                )

                                        )

                                )

                        )

                )
        )
)

{
  "mappings": {
    "product": {
      "properties": {
        "name": {
          "type": "string"
        },
        "categoryName": {
          "type": "string",
          "index": "not_analyzed"
        },
        "priceBrutto": {
          "type": "float"
        },
        "categoryCode": {
          "type": "integer"
        },
        "productAttributeFields": {
          "type": "nested",
          "include_in_parent": true, 
          "properties": {
            "name": {
              "index": "not_analyzed",
              "type": "string"
            },
            "value": {
              "index": "not_analyzed",
              "type": "string"
            }
          }
        }
      }
    }
  }
}

首先，我对Elasticsearch进行如下映射：

Categories:
 - laptops (5)
 - accessories (50)
 - monitors (10)
 -- above part is easy --

Attributest for actual category ex. laptops:
 - card reder:
  - MMC (1)
  - SD (5)
 - resolution:
  - 1024x768 (2)
  - 2048x1536 (3)

{
    "mappings": {
    "product": {
        "properties": {
            "name": {
                "type": "string"
            },
            "categoryName": {
                "type": "string",
               "index": "not_analyzed"
            },
            "priceBrutto": {
                "type": "float"
            },
            "categoryCode": {
                "type": "integer"
            },
            "productAttributeFields" : {
                "properties" : {
                    "name" : {
                        "index" : "not_analyzed",
                        "type" : "string"
                    },
                    "value" : {
                        "index" : "not_analyzed",
                        "type" : "string"
                    }
                }
            }
         }
      }
   }
}

Array
(
    [took] => 132
    [timed_out] => 
    [_shards] => Array
        (
            [total] => 1
            [successful] => 1
            [failed] => 0
        )

    [hits] => Array
        (
            [total] => 631
            [max_score] => 0
            [hits] => Array
                (
                )

        )

    [aggregations] => Array
        (
            [attrs] => Array
                (
                    [doc_count_error_upper_bound] => 0
                    [sum_other_doc_count] => 4608
                    [buckets] => Array
                        (
                            [0] => Array
                                (
                                    [key] => Resolution
                                    [doc_count] => 619
                                    [attrsValues] => Array
                                        (
                                            [doc_count_error_upper_bound] => 0
                                            [sum_other_doc_count] => 14199
                                            [buckets] => Array
                                                (
                                                    [0] => Array
                                                        (
                                                            [key] => 2048x1536
                                                            [doc_count] => 123
                                                        )

                                                    [1] => Array
                                                        (
                                                            [key] => 1024x768
                                                            [doc_count] => 3
                                                        )

                                                )

                                        )

                                )

                            [1] => Array
                                (
                                    [key] => Memory Readers
                                    [doc_count] => 618
                                    [wartosci] => Array
                                        (
                                            [doc_count_error_upper_bound] => 0
                                            [sum_other_doc_count] => 14185
                                            [buckets] => Array
                                                (
                                                    [0] => Array
                                                        (
                                                            [key] => MMC
                                                            [doc_count] => 431
                                                        )

                                                    [1] => Array
                                                        (
                                                            [key] => SD
                                                            [doc_count] => 430
                                                        )

                                                )

                                        )

                                )

                        )

                )
        )
)

{
  "mappings": {
    "product": {
      "properties": {
        "name": {
          "type": "string"
        },
        "categoryName": {
          "type": "string",
          "index": "not_analyzed"
        },
        "priceBrutto": {
          "type": "float"
        },
        "categoryCode": {
          "type": "integer"
        },
        "productAttributeFields": {
          "type": "nested",
          "include_in_parent": true, 
          "properties": {
            "name": {
              "index": "not_analyzed",
              "type": "string"
            },
            "value": {
              "index": "not_analyzed",
              "type": "string"
            }
          }
        }
      }
    }
  }
}

然后我添加如下所示的对象。 在

productAttributeFields

中将有许多属性。如果笔记本电脑有许多端口，则每个端口都是

productAttributeFields

中的另一个阵列

Array
(
    [name] => Macbook Pro
    [categoryCode] => 123
    [categoryName] => Notebooks
    [priceBrutto] => 1500
    [productAttributeFields] => Array
        (
            [0] => Array
                (
                    [name] => Resolution
                    [value] => 2048x1536
                )

            [1] => Array
                (
                    [name] => Memory Readers
                    [value] => MMC
                )
            [2] => Array
                (
                    [name] => Memory Readers
                    [value] => SD
                )
        )
)

现在我想得到这样的结果：

Categories:
 - laptops (5)
 - accessories (50)
 - monitors (10)
 -- above part is easy --

Attributest for actual category ex. laptops:
 - card reder:
  - MMC (1)
  - SD (5)
 - resolution:
  - 1024x768 (2)
  - 2048x1536 (3)

{
    "mappings": {
    "product": {
        "properties": {
            "name": {
                "type": "string"
            },
            "categoryName": {
                "type": "string",
               "index": "not_analyzed"
            },
            "priceBrutto": {
                "type": "float"
            },
            "categoryCode": {
                "type": "integer"
            },
            "productAttributeFields" : {
                "properties" : {
                    "name" : {
                        "index" : "not_analyzed",
                        "type" : "string"
                    },
                    "value" : {
                        "index" : "not_analyzed",
                        "type" : "string"
                    }
                }
            }
         }
      }
   }
}

Array
(
    [took] => 132
    [timed_out] => 
    [_shards] => Array
        (
            [total] => 1
            [successful] => 1
            [failed] => 0
        )

    [hits] => Array
        (
            [total] => 631
            [max_score] => 0
            [hits] => Array
                (
                )

        )

    [aggregations] => Array
        (
            [attrs] => Array
                (
                    [doc_count_error_upper_bound] => 0
                    [sum_other_doc_count] => 4608
                    [buckets] => Array
                        (
                            [0] => Array
                                (
                                    [key] => Resolution
                                    [doc_count] => 619
                                    [attrsValues] => Array
                                        (
                                            [doc_count_error_upper_bound] => 0
                                            [sum_other_doc_count] => 14199
                                            [buckets] => Array
                                                (
                                                    [0] => Array
                                                        (
                                                            [key] => 2048x1536
                                                            [doc_count] => 123
                                                        )

                                                    [1] => Array
                                                        (
                                                            [key] => 1024x768
                                                            [doc_count] => 3
                                                        )

                                                )

                                        )

                                )

                            [1] => Array
                                (
                                    [key] => Memory Readers
                                    [doc_count] => 618
                                    [wartosci] => Array
                                        (
                                            [doc_count_error_upper_bound] => 0
                                            [sum_other_doc_count] => 14185
                                            [buckets] => Array
                                                (
                                                    [0] => Array
                                                        (
                                                            [key] => MMC
                                                            [doc_count] => 431
                                                        )

                                                    [1] => Array
                                                        (
                                                            [key] => SD
                                                            [doc_count] => 430
                                                        )

                                                )

                                        )

                                )

                        )

                )
        )
)

{
  "mappings": {
    "product": {
      "properties": {
        "name": {
          "type": "string"
        },
        "categoryName": {
          "type": "string",
          "index": "not_analyzed"
        },
        "priceBrutto": {
          "type": "float"
        },
        "categoryCode": {
          "type": "integer"
        },
        "productAttributeFields": {
          "type": "nested",
          "include_in_parent": true, 
          "properties": {
            "name": {
              "index": "not_analyzed",
              "type": "string"
            },
            "value": {
              "index": "not_analyzed",
              "type": "string"
            }
          }
        }
      }
    }
  }
}

我即将解决这个问题（在我的查询下面），但在第二级聚合中，我有所有的值（例如在“resolution”中，我有

2048x1536

、

MMC

和

SD

）。我只想在

“resolution”

中有

“2048x1536”

，

“1024x768”

和其他具有键

“resolution”

的值，在

“读卡器”

上只有

“MMC”

，

“SD”

和其他具有键

“读卡器”

的值

---

您需要更改映射并将

productAttributeFields

设为

嵌套的
字段，以便可以保留
productAttributeFields.name
和
productAttributeFields.value
之间的关联

映射应如下所示：

Categories:
 - laptops (5)
 - accessories (50)
 - monitors (10)
 -- above part is easy --

Attributest for actual category ex. laptops:
 - card reder:
  - MMC (1)
  - SD (5)
 - resolution:
  - 1024x768 (2)
  - 2048x1536 (3)

{
    "mappings": {
    "product": {
        "properties": {
            "name": {
                "type": "string"
            },
            "categoryName": {
                "type": "string",
               "index": "not_analyzed"
            },
            "priceBrutto": {
                "type": "float"
            },
            "categoryCode": {
                "type": "integer"
            },
            "productAttributeFields" : {
                "properties" : {
                    "name" : {
                        "index" : "not_analyzed",
                        "type" : "string"
                    },
                    "value" : {
                        "index" : "not_analyzed",
                        "type" : "string"
                    }
                }
            }
         }
      }
   }
}

Array
(
    [took] => 132
    [timed_out] => 
    [_shards] => Array
        (
            [total] => 1
            [successful] => 1
            [failed] => 0
        )

    [hits] => Array
        (
            [total] => 631
            [max_score] => 0
            [hits] => Array
                (
                )

        )

    [aggregations] => Array
        (
            [attrs] => Array
                (
                    [doc_count_error_upper_bound] => 0
                    [sum_other_doc_count] => 4608
                    [buckets] => Array
                        (
                            [0] => Array
                                (
                                    [key] => Resolution
                                    [doc_count] => 619
                                    [attrsValues] => Array
                                        (
                                            [doc_count_error_upper_bound] => 0
                                            [sum_other_doc_count] => 14199
                                            [buckets] => Array
                                                (
                                                    [0] => Array
                                                        (
                                                            [key] => 2048x1536
                                                            [doc_count] => 123
                                                        )

                                                    [1] => Array
                                                        (
                                                            [key] => 1024x768
                                                            [doc_count] => 3
                                                        )

                                                )

                                        )

                                )

                            [1] => Array
                                (
                                    [key] => Memory Readers
                                    [doc_count] => 618
                                    [wartosci] => Array
                                        (
                                            [doc_count_error_upper_bound] => 0
                                            [sum_other_doc_count] => 14185
                                            [buckets] => Array
                                                (
                                                    [0] => Array
                                                        (
                                                            [key] => MMC
                                                            [doc_count] => 431
                                                        )

                                                    [1] => Array
                                                        (
                                                            [key] => SD
                                                            [doc_count] => 430
                                                        )

                                                )

                                        )

                                )

                        )

                )
        )
)

{
  "mappings": {
    "product": {
      "properties": {
        "name": {
          "type": "string"
        },
        "categoryName": {
          "type": "string",
          "index": "not_analyzed"
        },
        "priceBrutto": {
          "type": "float"
        },
        "categoryCode": {
          "type": "integer"
        },
        "productAttributeFields": {
          "type": "nested",
          "include_in_parent": true, 
          "properties": {
            "name": {
              "index": "not_analyzed",
              "type": "string"
            },
            "value": {
              "index": "not_analyzed",
              "type": "string"
            }
          }
        }
      }
    }
  }
}

查询将更改为

{
  "query": {
    "match": {
      "categoryCode": 123
    }
  },
  "aggs": {
    "attrs_root": {
      "nested": {
        "path": "productAttributeFields"
      },
      "aggs": {
        "attrs": {
          "terms": {
            "field": "productAttributeFields.name"
          },
          "aggs": {
            "attrsValues": {
              "terms": {
                "field": "productAttributeFields.value",
                "size": 100
              }
            }
          }
        }
      }
    }
  }
}

我在这里提出了一个类似的解决方案：