字词查询没有return任何结果

Question

我正在尝试使用嵌套术语查询在 Elastic 搜索中查找一些实体。如果我执行搜索查询，则没有任何结果。但是，如果我将查询更改为使用 "match" 而不是 "term"，我将获得命中。我做错了什么？

我想要实现的是只返回完全匹配。

ES中实体如下

"vehiclesCollection": [
    {
        "id": "c0163692-69c5-442e-a30c-a3789384904d",
        "additionalFields": {
            "23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-    348f3e6a5485@1a61281d-73b0-41ea-964d-d869a172752d": "HaveNoIdea",
            "23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@91b5e07e-6e09-4a81-a3ef-d43f1ea99b34": "Strane",
            "23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@4fc4d50b-5c81-47f7-8c7a-7802c28c0dca": true,
            "23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@c35b1e06-f918-4f70-a323-804c004ddcbe": "License Plate"
        },
        "searchableAdditionalFieldValues": [
            "License Plate",
            "Strane",
            "HaveNoIdea"
        ]
    }
]

提示：这只是我执行搜索的部分。

它有以下映射

{
  "vehiclesCollection": {
    "type": "nested",
    "properties": {
      "additionalFields": {
        "properties": {
          "23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@1a61281d-73b0-41ea-964d-d869a172752d": {
            "type": "text",
            "fields": {
              "keyword": {
                "type": "keyword",
                "ignore_above": 256
              }
            }
          },
          "23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@4fc4d50b-5c81-47f7-8c7a-7802c28c0dca": {
            "type": "boolean"
          },
          "23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@91b5e07e-6e09-4a81-a3ef-d43f1ea99b34": {
            "type": "text",
            "fields": {
              "keyword": {
                "type": "keyword",
                "ignore_above": 256
              }
            }
          },
          "23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@c35b1e06-f918-4f70-a323-804c004ddcbe": {
            "type": "text",
            "fields": {
              "keyword": {
                "type": "keyword",
                "ignore_above": 256
              }
            }
          }
        }
      },
      "id": {
        "type": "keyword"
      },
      "searchableAdditionalFieldValues": {
        "type": "text",
        "index_options": "offsets",
        "analyzer": "ngram_tokenizer_analyzer",
        "search_analyzer": "whitespace_analyzer"
      }
    }
  }
}

和搜索查询（如果将术语与匹配切换，它将起作用，但我只想要完全匹配）

{
  "bool": {
    "must": [
      {
        "nested": {
          "query": {
            "term": {
              "vehiclesCollection.additionalFields.23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@c35b1e06-f918-4f70-a323-804c004ddcbe": {
                "value": "License Plate",
                "boost": 1
              }
            }
          },
          "path": "vehiclesCollection",
          "ignore_unmapped": false,
          "score_mode": "avg",
          "boost": 1
        }
      },
      {
        "nested": {
          "query": {
            "term": {
              "vehiclesCollection.additionalFields.23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@1a61281d-73b0-41ea-964d-d869a172752d": {
                "value": "HaveNoIdea",
                "boost": 1
              }
            }
          },
          "path": "vehiclesCollection",
          "ignore_unmapped": false,
          "score_mode": "avg",
          "boost": 1
        }
      },
      {
        "nested": {
          "query": {
            "term": {
              "vehiclesCollection.additionalFields.23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@4fc4d50b-5c81-47f7-8c7a-7802c28c0dca": {
                "value": true,
                "boost": 1
              }
            }
          },
          "path": "vehiclesCollection",
          "ignore_unmapped": false,
          "score_mode": "avg",
          "boost": 1
        }
      }
    ]
  }
}

我的第一个想法是它与搜索分析有关。但我不确定如何为这个特定查询设置它们。我正在使用 Elasticsearch Java API.

Answer 1

根据经验，您需要

运行您对 .keyword 子字段的 term 查询
运行您在 text 顶级字段上的匹配查询

因此您的查询将是（前两个嵌套 term 查询使用 ***.keyword 子字段）：

{
  "bool": {
    "must": [
      {
        "nested": {
          "query": {
            "term": {
              "vehiclesCollection.additionalFields.23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@c35b1e06-f918-4f70-a323-804c004ddcbe.keyword": {
                "value": "License Plate",
                "boost": 1
              }
            }
          },
          "path": "vehiclesCollection",
          "ignore_unmapped": false,
          "score_mode": "avg",
          "boost": 1
        }
      },
      {
        "nested": {
          "query": {
            "term": {
              "vehiclesCollection.additionalFields.23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@1a61281d-73b0-41ea-964d-d869a172752d.keyword": {
                "value": "HaveNoIdea",
                "boost": 1
              }
            }
          },
          "path": "vehiclesCollection",
          "ignore_unmapped": false,
          "score_mode": "avg",
          "boost": 1
        }
      },
      {
        "nested": {
          "query": {
            "term": {
              "vehiclesCollection.additionalFields.23698e0d-e5ba-4c0e-9c41-09db40708f09@11b75c17-1f62-4a45-847b-348f3e6a5485@4fc4d50b-5c81-47f7-8c7a-7802c28c0dca": {
                "value": true,
                "boost": 1
              }
            }
          },
          "path": "vehiclesCollection",
          "ignore_unmapped": false,
          "score_mode": "avg",
          "boost": 1
        }
      }
    ]
  }
}

字词查询没有return任何结果

Term query does not return any results

elasticsearch

term-query