有没有弹性搜索父子加入的解决方案

Question

我有一个如下的es设置：

PUT /test
        {
        "mappings": {
         "doc": {
          "properties": {
            "status": {
              "type": "keyword"
            },
            "counting": {
              "type": "integer"
            },
            "join": {
              "type": "join",
              "relations": {
                "vsim": ["pool", "package"]
              }
            },
            "poolId": {
              "type": "keyword"
            },
            "packageId": {
              "type": "keyword"
            },
            "countries": {
              "type": "keyword"
            },
            "vId": {
              "type": "keyword"
            }
          }
        }
    }}

然后添加数据：

// add vsim
PUT /test/doc/doc1
{"counting":6, "join": {"name": "vsim"}, "content": "1", "status": "disabled"}

PUT /test/doc/doc2
{"counting":5,"join": {"name": "vsim"}, "content": "2", "status": "disabled"}

PUT /test/doc/doc3
{"counting":5,"join": {"name": "vsim"}, "content": "2", "status": "enabled"}

// add package
PUT /test/doc/ner2?routing=doc2
{"join": {"name": "package", "parent": "doc2"}, "countries":["CN", "UK"]}

PUT test/doc/ner12?routing=doc1
{"join": {"name": "package", "parent": "doc1"}, "countries":["CN", "US"]}

PUT /test/doc/ner11?routing=doc1
{"join":{"name": "package", "parent": "doc1"}, "countries":["US", "KR"]}

PUT /test/doc/ner13?routing=doc3
{"join":{"name": "package", "parent": "doc3"}, "countries":["UK", "AU"]}


// add pool
PUT /test/doc/ner21?routing=doc1
{"join": {"name": "pool", "parent": "doc1"}, "poolId": "MER"}

PUT /test/doc/ner22?routing=doc2
{"join": {"name": "pool", "parent": "doc2"}, "poolId": "MER"}

PUT /test/doc/ner23?routing=doc2
{"join": {"name": "pool", "parent": "doc2"}, "poolId": "NER"}

然后我想按状态（vsim）、poolId（池）和国家（包）来计算计数组，预期结果如下：

禁用-MER-CN：3

禁用-MER-US：3

启用-MR-CN: 1 ... 等等。 我是elasticsearch的新手，学习过文档之类的

https://www.elastic.co/guide/en/elasticsearch/reference/current/joining-queries.html 和 https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-children-aggregation.html

但仍然不知道如何实现这个聚合查询，请给我一些建议，谢谢！

Answer 1

如果我遵循您的文档结构-您的类型 pool 和 package 在同一级别（它们是兄弟姐妹）-我无法完全实现你的预期结果。我也非常怀疑这些类型是否可能是兄弟姐妹。

但是，仍然可以对文档中的每个字段进行切片（status），然后分别按 poolId 和 countries 进行切片像这样的查询：

{
  "aggs": {
    "status-aggs": {
      "terms": {
        "field": "status",
        "size": 10
      },
      "aggs": {
        "to-pool": {
          "children": {
            "type": "pool"
          },
          "aggs": {
            "top-poolid": {
              "terms": {
                "field": "poolId",
                "size": 10
              }
            }
          }
        },
        "to-package": {
          "children": {
            "type": "package"
          },
          "aggs": {
            "top-countries": {
              "terms": {
                "field": "countries",
                "size": 10
              }
            }
          }
        }
      }
    }
  }
}

来自 Elasticsearch 的响应是这样的（为了便于阅读，我省略了 json 的某些部分）：

{
  "status-aggs": {
    "buckets": [
      {
        "key": "disabled",
        "doc_count": 2,
        "to-pool": {
          "doc_count": 3,
          "top-poolid": {
            "buckets": [
              {
                "key": "MER",
                "doc_count": 2
              },
              {
                "key": "NER",
                "doc_count": 1
              }
            ]
          }
        },
        "to-package": {
          "doc_count": 3,
          "top-countries": {
            "buckets": [
              {
                "key": "CN",
                "doc_count": 2
              },
              {
                "key": "US",
                "doc_count": 2
              },
              {
                "key": "KR",
                "doc_count": 1
              },
              {
                "key": "UK",
                "doc_count": 1
              }
            ]
          }
        }
      },
      {
        "key": "enabled",
        "doc_count": 1,
        "to-pool": {
          "doc_count": 0,
          "top-poolid": {
            "buckets": []
          }
        },
        "to-package": {
          "doc_count": 1,
          "top-countries": {
            "buckets": [
              {
                "key": "AU",
                "doc_count": 1
              },
              {
                "key": "UK",
                "doc_count": 1
              }
            ]
          }
        }
      }
    ]
  }
}