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在 Elasticsearch 中,如何在多级嵌套对象的多个字段上搜索字符串

[英]In Elasticsearch, how do I search string on multiple fields from multi-level nested objects

In Elasticsearch 6, I have data with nested objects like this:在 Elasticsearch 6 中,我有这样的嵌套对象的数据:

{
    "brands" : 
    [
        {
            "brand_name" : "xyz",
            "products" : 
            [
               {
                   "title" : "test",
                   "mrp" : 100,
                   "sp" : 90,
                   "status" : 1
               },
               {
                   "title" : "test1",
                   "mrp" : 50,
                   "sp" : 45,
                   "status" : 1
                }
            ]
        },
        {
            "brand_name" : "aaa",
            "products" : 
            [
                {
                    "title" : "xyz",
                    "mrp" : 100,
                    "sp" : 90,
                    "status" : 1
                },
                {
                    "title" : "abc",
                    "mrp" : 50,
                    "sp" : 45,
                    "status" : 1
                }
            ]
        }
    ]
}

I want to search from either from the field brand_name or from the field title.我想从字段brand_name 或字段标题中进行搜索。 And I want return all results in same inner_hits.我想以相同的inner_hits返回所有结果。

For example : If I input the search string as "xyz" it should return both brands object with correspondent product object.例如:如果我将搜索字符串输入为“xyz”,它应该返回两个品牌对象和相应的产品对象。 If I input the search string as "test" it should return only first brand array with only first product object.如果我将搜索字符串输入为“test”,它应该只返回第一个品牌数组和第一个产品对象。

How can I achieve this.我怎样才能做到这一点。 Any ideas?有任何想法吗?

I have tried with the nested path query like this:我试过这样的嵌套路径查询:

{
  "query": {
    "bool": {
      "must": [
        {
          "nested": {
            "path": "brands",
            "query": {
              "bool": {
                "should": [
                  {
                    "term": {
                      "brands.brand_name": "xyz"
                    }
                  },
                  {
                    "term": {
                      "brands.brand_name.keyword": "aaa"
                    }
                  },
                  {
                    "nested": {
                      "path": "brands.products",
                      "query": {
                        "bool": {
                          "should": [
                            {
                              "match": {
                                "brands.products.title": "xyz"
                              }
                            }
                          ]
                        }
                      },
                      "inner_hits": {}
                    }
                  }
                ]
              }
            },
            "inner_hits": {}
          }
        }
      ]
    }
  }
}

But this query returning with multiple inner_hits response with multiple array objects for each brands and for each products.但是这个查询返回多个 inner_hits 响应,每个品牌和每个产品都有多个数组对象。

I want the response like all brand names which is matching with the string should list under one array and all the products should list under another array under same inner_hits.我希望与字符串匹配的所有品牌名称等响应应列在一个数组下,所有产品应列在同一inner_hits下的另一个数组下。

Since you want the inner hits to be different based on where the match has happened ie brands.brand_name or brands.products.title , you can have two queries one for brand name and other for product title as independent nested queries.由于您希望内部命中根据匹配发生的位置而不同,即brands.brand_namebrands.products.title ,您可以有两个查询,一个是品牌名称,另一个是产品标题,作为独立的嵌套查询。 These queries then should be inside should clause of a bool query.这些查询应该在bool查询的should子句中。 Each of the nested query should have its own inner_hits as below:每个嵌套查询都应该有自己的inner_hits ,如下所示:

{
  "query": {
    "bool": {
      "should": [
        {
          "nested": {
            "path": "brands",
            "inner_hits": {},
            "query": {
              "term": {
                "brands.brand_name.keyword": "test"
              }
            }
          }
        },
        {
          "nested": {
            "path": "brands.products",
            "inner_hits": {},
            "query": {
              "term": {
                "brands.products.title": "test"
              }
            }
          }
        }
      ]
    }
  },
  "_source": false
}

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