方面，并根据方面进行一些过滤 [英] facets and doing some filtering based on facets

问题描述

我有一个关于构面的问题，并根据构面进行了一些过滤.我知道这是一个重复的问题，但我找不到答案.

I have a question about facets and doing some filtering based on facets. i know this is a repeated question but i am unable find the answer.

我想知道如何在弹性搜索中实现相同的功能.

i would like to know how can i implement the same functionality in elastic search.

假设我有关于汽车和某些方面的索引-例如.模型和颜色.

lets asume that I have an index about cars and some facets -- eg. model and color.

颜色

[]红色(10)

[]蓝色(5)

[]绿色(2)

模型

[]宝马(4)

[]大众(5)

[]福特(8)

如果我选择一个模型，则只想获取该模型的颜色面，但我仍然想了解所有型号的产品.例如:

if I select a model I would like to get only color facets for that model, but I still would like to get facets for all models. eg:

颜色

[]红色(2)

[]蓝色(2)

[]绿色(1)

模型

[]宝马(4)

[x]大众(5)

[]福特(8)

我搜索了关于该用例的示例，但没有找到示例.这是可能，如果可以，如何过滤查询以获得这些结果?

I have searched I did not find an example about this use-case. Is this possible and if yes, how do I filter a query to get these results?

亲切的问候

推荐答案

我确定这里已经多次回答了，但让我们举一个具体的例子.

I'm sure this has been answered multiple here but let's take your concrete example.

创建索引

PUT lalit
{
  "mappings": {
    "properties": {
      "model": {
        "type": "text",
        "fields": {
          "keyword": {
            "type": "keyword"
          }
        }
      },
      "color": {
        "type": "text",
        "fields": {
          "keyword": {
            "type": "keyword"
          }
        }
      }
    }
  }
}

摄取一些文档

POST lalit/_doc
{"color":"red","model":"bmw"}
POST lalit/_doc
{"color":"blue","model":"bmw"}
POST lalit/_doc
{"color":"red","model":"vw"}
POST lalit/_doc
{"color":"green","model":"vw"}
POST lalit/_doc
{"color":"blue","model":"ford"} 

应用

屈服

"aggregations" : {
    "model_filtered_colors" : {
      "doc_count" : 2,
      "actual_aggs" : {
        "doc_count_error_upper_bound" : 0,
        "sum_other_doc_count" : 0,
        "buckets" : [
          {
            "key" : "green",
            "doc_count" : 1
          },
          {
            "key" : "red",
            "doc_count" : 1
          }
        ]
      }
    },
    "all_models" : {
      "doc_count_error_upper_bound" : 0,
      "sum_other_doc_count" : 0,
      "buckets" : [
        {
          "key" : "bmw",
          "doc_count" : 2
        },
        {
          "key" : "vw",
          "doc_count" : 2
        },
        {
          "key" : "ford",
          "doc_count" : 1
        }
      ]
    },
    "all_colors" : {
      "doc_count_error_upper_bound" : 0,
      "sum_other_doc_count" : 0,
      "buckets" : [
        {
          "key" : "blue",
          "doc_count" : 2
        },
        {
          "key" : "red",
          "doc_count" : 2
        },
        {
          "key" : "green",
          "doc_count" : 1
        }
      ]
    }
  }

model_filtered_colors 通过颜色为您提供所有 vw ，而其他2种汇总则为您提供全部总计(不包括 vw 过滤器).

model_filtered_colors gives you all vws by color while the other 2 aggregations give you the totals across the board (w/o the vw filter).

这篇关于方面，并根据方面进行一些过滤的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！