如何在elasticsearch中索引geojson文件？

Question

我正在尝试使用 PYTHON 以 geojson、csv 文件和形状文件的形式将空间数据存储到 elasticsearch 中。我是 elasticsearch 的新手，即使在遵循文档后我也无法成功索引它。任何帮助，将不胜感激。

示例 geojson 文件：

{
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "properties": {
        "ID_0": 105,
        "ISO": "IND",
        "NAME_0": "India",
        "ID_1": 1288,
        "NAME_1": "Telangana",
        "ID_2": 15715,
        "NAME_2": "Telangana",
        "VARNAME_2": null,
        "NL_NAME_2": null,
        "HASC_2": "IN.TS.AD",
        "CC_2": null,
        "TYPE_2": "State",
        "ENGTYPE_2": "State",
        "VALIDFR_2": "Unknown",
        "VALIDTO_2": "Present",
        "REMARKS_2": null,
        "Shape_Leng": 8.103535,
        "Shape_Area": 127258717496
      },
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [
            [
              79.14429367552918,
              19.500257885106404
            ],
            [
              79.14582245808431,
              19.498859172536427
            ],
            [
              79.14600496956801,
              19.498823981691853
            ],
            [
              79.14966523737327,
              19.495821705263914
            ]
          ]
        ]
      }
    }
  ]
}

Answer 1

您必须将 GeoJson 功能分为 (1) 几何图形和 (2) 属性/属性部分。您无法直接索引 GeoJson 要素和要素集合（请参阅文档），仅支持几何部分作为字段类型。

所以你最终的可索引文档看起来会有些扁平化：

{
    "ID_0": 105,
    "ISO": "IND",
    "NAME_0": "India",
    "ID_1": 1288,
    "NAME_1": "Telangana",
    "ID_2": 15715,
    "NAME_2": "Telangana",
    "VARNAME_2": null,
    "NL_NAME_2": null,
    "HASC_2": "IN.TS.AD",
    "CC_2": null,
    "TYPE_2": "State",
    "ENGTYPE_2": "State",
    "VALIDFR_2": "Unknown",
    "VALIDTO_2": "Present",
    "REMARKS_2": null,
    "Shape_Leng": 8.103535,
    "Shape_Area": 127258717496,
    "geometry": {
        "type": "Polygon",
        "coordinates": [
            [
                [
                    79.14429367552918,
                    19.500257885106404
                ],
                [
                    79.14582245808431,
                    19.498859172536427
                ],
                [
                    79.14600496956801,
                    19.498823981691853
                ],
                [
                    79.14966523737327,
                    19.495821705263914
                ]
            ]
        ]
    }
}