地理边界聚合编辑

一种指标聚合,用于计算包含 地理点地理形状 字段所有值的地理边界框。

示例

response = client.indices.create(
  index: 'museums',
  body: {
    mappings: {
      properties: {
        location: {
          type: 'geo_point'
        }
      }
    }
  }
)
puts response

response = client.bulk(
  index: 'museums',
  refresh: true,
  body: [
    {
      index: {
        _id: 1
      }
    },
    {
      location: 'POINT (4.912350 52.374081)',
      name: 'NEMO Science Museum'
    },
    {
      index: {
        _id: 2
      }
    },
    {
      location: 'POINT (4.901618 52.369219)',
      name: 'Museum Het Rembrandthuis'
    },
    {
      index: {
        _id: 3
      }
    },
    {
      location: 'POINT (4.914722 52.371667)',
      name: 'Nederlands Scheepvaartmuseum'
    },
    {
      index: {
        _id: 4
      }
    },
    {
      location: 'POINT (4.405200 51.222900)',
      name: 'Letterenhuis'
    },
    {
      index: {
        _id: 5
      }
    },
    {
      location: 'POINT (2.336389 48.861111)',
      name: 'Musée du Louvre'
    },
    {
      index: {
        _id: 6
      }
    },
    {
      location: 'POINT (2.327000 48.860000)',
      name: "Musée d'Orsay"
    }
  ]
)
puts response

response = client.search(
  index: 'museums',
  size: 0,
  body: {
    query: {
      match: {
        name: 'musée'
      }
    },
    aggregations: {
      viewport: {
        geo_bounds: {
          field: 'location',
          wrap_longitude: true
        }
      }
    }
  }
)
puts response
PUT /museums
{
  "mappings": {
    "properties": {
      "location": {
        "type": "geo_point"
      }
    }
  }
}

POST /museums/_bulk?refresh
{"index":{"_id":1}}
{"location": "POINT (4.912350 52.374081)", "name": "NEMO Science Museum"}
{"index":{"_id":2}}
{"location": "POINT (4.901618 52.369219)", "name": "Museum Het Rembrandthuis"}
{"index":{"_id":3}}
{"location": "POINT (4.914722 52.371667)", "name": "Nederlands Scheepvaartmuseum"}
{"index":{"_id":4}}
{"location": "POINT (4.405200 51.222900)", "name": "Letterenhuis"}
{"index":{"_id":5}}
{"location": "POINT (2.336389 48.861111)", "name": "Musée du Louvre"}
{"index":{"_id":6}}
{"location": "POINT (2.327000 48.860000)", "name": "Musée d'Orsay"}

POST /museums/_search?size=0
{
  "query": {
    "match": { "name": "musée" }
  },
  "aggs": {
    "viewport": {
      "geo_bounds": {
        "field": "location",    
        "wrap_longitude": true  
      }
    }
  }
}

geo_bounds 聚合指定用于获取边界的字段,该字段必须是 地理点地理形状 类型。

wrap_longitude 是一个可选参数,用于指定是否允许边界框跨越国际日期变更线。默认值为 true

上述聚合演示了如何计算名称与“musée”匹配的所有文档的 location 字段的边界框。

上述聚合的响应

{
  ...
  "aggregations": {
    "viewport": {
      "bounds": {
        "top_left": {
          "lat": 48.86111099738628,
          "lon": 2.3269999679178
        },
        "bottom_right": {
          "lat": 48.85999997612089,
          "lon": 2.3363889567553997
        }
      }
    }
  }
}

geo_shape 字段上的地理边界聚合编辑

地理边界聚合也支持 geo_shape 字段。

如果 wrap_longitude 设置为 true(默认值),则边界框可以跨越国际日期变更线,并返回 top_left 经度大于 top_right 经度的边界。

例如,地理边界框的右上角经度通常大于左下角经度。但是,当区域跨越 180° 经线时,左下角经度的值将大于右上角经度的值。有关更多信息,请参阅开放地理空间联盟网站上的 地理边界框

示例

response = client.indices.create(
  index: 'places',
  body: {
    mappings: {
      properties: {
        geometry: {
          type: 'geo_shape'
        }
      }
    }
  }
)
puts response

response = client.bulk(
  index: 'places',
  refresh: true,
  body: [
    {
      index: {
        _id: 1
      }
    },
    {
      name: 'NEMO Science Museum',
      geometry: 'POINT(4.912350 52.374081)'
    },
    {
      index: {
        _id: 2
      }
    },
    {
      name: 'Sportpark De Weeren',
      geometry: {
        type: 'Polygon',
        coordinates: [
          [
            [
              4.965305328369141,
              52.39347642069457
            ],
            [
              4.966979026794433,
              52.391721758934835
            ],
            [
              4.969425201416015,
              52.39238958618537
            ],
            [
              4.967944622039794,
              52.39420969150824
            ],
            [
              4.965305328369141,
              52.39347642069457
            ]
          ]
        ]
      }
    }
  ]
)
puts response

response = client.search(
  index: 'places',
  size: 0,
  body: {
    aggregations: {
      viewport: {
        geo_bounds: {
          field: 'geometry'
        }
      }
    }
  }
)
puts response
PUT /places
{
  "mappings": {
    "properties": {
      "geometry": {
        "type": "geo_shape"
      }
    }
  }
}

POST /places/_bulk?refresh
{"index":{"_id":1}}
{"name": "NEMO Science Museum", "geometry": "POINT(4.912350 52.374081)" }
{"index":{"_id":2}}
{"name": "Sportpark De Weeren", "geometry": { "type": "Polygon", "coordinates": [ [ [ 4.965305328369141, 52.39347642069457 ], [ 4.966979026794433, 52.391721758934835 ], [ 4.969425201416015, 52.39238958618537 ], [ 4.967944622039794, 52.39420969150824 ], [ 4.965305328369141, 52.39347642069457 ] ] ] } }

POST /places/_search?size=0
{
  "aggs": {
    "viewport": {
      "geo_bounds": {
        "field": "geometry"
      }
    }
  }
}
{
  ...
  "aggregations": {
    "viewport": {
      "bounds": {
        "top_left": {
          "lat": 52.39420966710895,
          "lon": 4.912349972873926
        },
        "bottom_right": {
          "lat": 52.374080987647176,
          "lon": 4.969425117596984
        }
      }
    }
  }
}