elasticsearch elasticsearch中字段的条件查询

我是Elasticsearch的新手，在发布这个问题之前，我在谷歌上搜索了一些帮助，但不知道如何编写我想要编写的查询

我的问题是我要查询的文档很少，这些文档中很少有字段“DueDate”，也很少有字段“PlannedCompletionDate”，但不是都存在于单个文档中。所以我想写一个查询，它应该有条件地从文档中查询一个字段并返回所有文档

例如，下面我正在证明每种类型的示例文档，并且我的查询应该返回来自这两个文档的结果，我需要编写一个查询，该查询应该检查字段是否存在并返回文档

“_来源”：{ ... “计划完工日期”：“2019-06-30T00:00:00.000Z”， ... }

“_来源”：{ ... “到期日”：“2019-07-26T07:00:00.000Z”， ... }

您可以结合使用来实现您的用例

添加带有索引映射、数据、搜索查询和搜索结果的工作示例

索引映射：

{
  "mappings": {
    "properties": {
      "plannedCompleteDate": {
        "type": "date",
        "format": "yyyy-MM-dd"
      },
      "dueDate": {
        "type": "date",
        "format": "yyyy-MM-dd"
      }
    }
  }
}

{
  "plannedCompleteDate": "2019-05-30"
}
{
  "plannedCompleteDate": "2020-06-30"
}
{
  "dueDate": "2020-05-30"
}

{
  "query": {
    "bool": {
      "should": [
        {
          "range": {
            "plannedCompleteDate": {
              "gte": "2020-01-01",
              "lte": "2020-12-31"
            }
          }
        },
        {
          "range": {
            "dueDate": {
              "gte": "2020-01-01",
              "lte": "2020-12-31"
            }
          }
        }
      ]
    }
  }
}

"hits": [
      {
        "_index": "65808850",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.0,
        "_source": {
          "plannedCompleteDate": "2020-06-30"
        }
      },
      {
        "_index": "65808850",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.0,
        "_source": {
          "dueDate": "2020-05-30"
        }
      }
    ]

索引数据：

{
  "mappings": {
    "properties": {
      "plannedCompleteDate": {
        "type": "date",
        "format": "yyyy-MM-dd"
      },
      "dueDate": {
        "type": "date",
        "format": "yyyy-MM-dd"
      }
    }
  }
}

{
  "plannedCompleteDate": "2019-05-30"
}
{
  "plannedCompleteDate": "2020-06-30"
}
{
  "dueDate": "2020-05-30"
}

{
  "query": {
    "bool": {
      "should": [
        {
          "range": {
            "plannedCompleteDate": {
              "gte": "2020-01-01",
              "lte": "2020-12-31"
            }
          }
        },
        {
          "range": {
            "dueDate": {
              "gte": "2020-01-01",
              "lte": "2020-12-31"
            }
          }
        }
      ]
    }
  }
}

"hits": [
      {
        "_index": "65808850",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.0,
        "_source": {
          "plannedCompleteDate": "2020-06-30"
        }
      },
      {
        "_index": "65808850",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.0,
        "_source": {
          "dueDate": "2020-05-30"
        }
      }
    ]

搜索查询：

{
  "mappings": {
    "properties": {
      "plannedCompleteDate": {
        "type": "date",
        "format": "yyyy-MM-dd"
      },
      "dueDate": {
        "type": "date",
        "format": "yyyy-MM-dd"
      }
    }
  }
}

{
  "plannedCompleteDate": "2019-05-30"
}
{
  "plannedCompleteDate": "2020-06-30"
}
{
  "dueDate": "2020-05-30"
}

{
  "query": {
    "bool": {
      "should": [
        {
          "range": {
            "plannedCompleteDate": {
              "gte": "2020-01-01",
              "lte": "2020-12-31"
            }
          }
        },
        {
          "range": {
            "dueDate": {
              "gte": "2020-01-01",
              "lte": "2020-12-31"
            }
          }
        }
      ]
    }
  }
}

"hits": [
      {
        "_index": "65808850",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.0,
        "_source": {
          "plannedCompleteDate": "2020-06-30"
        }
      },
      {
        "_index": "65808850",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.0,
        "_source": {
          "dueDate": "2020-05-30"
        }
      }
    ]

搜索结果：

{
  "mappings": {
    "properties": {
      "plannedCompleteDate": {
        "type": "date",
        "format": "yyyy-MM-dd"
      },
      "dueDate": {
        "type": "date",
        "format": "yyyy-MM-dd"
      }
    }
  }
}

{
  "plannedCompleteDate": "2019-05-30"
}
{
  "plannedCompleteDate": "2020-06-30"
}
{
  "dueDate": "2020-05-30"
}

{
  "query": {
    "bool": {
      "should": [
        {
          "range": {
            "plannedCompleteDate": {
              "gte": "2020-01-01",
              "lte": "2020-12-31"
            }
          }
        },
        {
          "range": {
            "dueDate": {
              "gte": "2020-01-01",
              "lte": "2020-12-31"
            }
          }
        }
      ]
    }
  }
}

"hits": [
      {
        "_index": "65808850",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.0,
        "_source": {
          "plannedCompleteDate": "2020-06-30"
        }
      },
      {
        "_index": "65808850",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.0,
        "_source": {
          "dueDate": "2020-05-30"
        }
      }
    ]

---

忘了提及，在所有文档中，我感兴趣的是获取所有包含字段dueDate或plannedCOmpletionDate的文档。这些文档中没有一个同时包含dueDate和plannedCOmpletionDate字段。因此，您想获取那些既包含

plannedCompleteDate

字段又包含

dueDate

字段但不同时包含这两个字段的文档吗？是的，并且这些文档中没有一个同时包含这两个字段。因此，我的查询应该类似于“如果文档中包含dueDate或plannedCompletionDate，则从文档中选择日期，并且日期应介于“2020-01-01”和“2020-12-31”之间”。索引中是否有包含这两个字段的文档？不，我想，可以肯定，我如何检查是否有此类文件？@Sunil Yerra请仔细查看答案，并让我知道这是否是问题所在？感谢您的快速帮助，我将尝试此方法，并让您了解我的经验。当然@Sunil Yerra，期待您的反馈：）谢谢您的帮助，效果很好。我现在能够增强该查询以获得更有用的结果。谢谢兄弟。我的范围应该小于现在，在示例中我给出了一些日期供参考。。。。下面是为我工作的查询{“bool”：{“should”：[{“range”：{“dueDate”：{“lt”：“now”}}，{“range”：{“plannedpletedate”：{“lt”：“now” } } } ] } }