python-3.x - 带有范围过滤器的 Elasticsearch Geo Polygon 查询

Question

我正在尝试使用 Geo 多边形点从 Elasticsearch 中检索一些图像字段。但是，我也想使用日期字段过滤掉图像。以下两个查询有效。有没有可能将它们合二为一？我非常感谢任何帮助。

**Query 1**
GET /manyimages_*/_search/
{
  "query": {
    "bool" : {
      "filter" : {
        "range": {"c_datetime": {"gte" : "2020-07-30T09:03:17.000"}}
      }
    }
  }
}

**Query 2**
GET /manyimages_*/_search/
{
  "size":10000,
  "query": 
  {    
    "geo_polygon":
        {"location":
            {"points": [[-98.59526078405563, 29.48456853315911],
[-98.59393149263758, 29.485036283823487],
[-98.58712997745901, 29.48730046713193]]}
            ,"validation_method":"STRICT","ignore_unmapped":false,"boost":1.0
          
        }
        }
    ,"_source":{"includes":["latitude","longitude","bearing_deg","c_datetime"],"excludes":["location"]
      
  }
}

标签： python-3.xelasticsearchelasticsearch-dsl

Answer 1

是的，您可以简单地在bool/filter子句中同时包含两个约束：

GET /manyimages_*/_search/
{
  "query": {
    "bool": {
      "filter": [
        {
          "range": {
            "c_datetime": {
              "gte": "2020-07-30T09:03:17.000"
            }
          }
        },
        {
          "geo_polygon": {
            "location": {
              "points": [
                [
                  -98.59526078405563,
                  29.48456853315911
                ],
                [
                  -98.59393149263758,
                  29.485036283823487
                ],
                [
                  -98.58712997745901,
                  29.48730046713193
                ]
              ]
            },
            "validation_method": "STRICT",
            "ignore_unmapped": false,
            "boost": 1
          }
        }
      ]
    }
  }
}