如何在Elasticsearch(geo数据类型)中使用以下数据索引文档?
<west>5.8663152683722</west>
<north>55.0583836008072</north>
<east>15.0418156516163</east>
<south>47.2701236047002</south>
我尝试了geo_point及其用于lon和lat的工作,不确定如何保存此数据。非常感谢您的帮助。
最佳答案
在同步之前,您必须使用geo_shape datatype并将XML(我认为)半点转换为线字符串或多边形。
我要去一个多边形。
让我们可视化常规的cardinal directions:
North (+90)
|
(-180) West ——+—— East (+180)
|
South (-90)
geo_shape需要类似GeoJSON的输入,因此您需要五个坐标点,第一个和最后一个是相同的(根据GeoJSON spec)。
因此,从TurfJS借用并逆时针从左下角开始,
const lowLeft = [west, south];
const topLeft = [west, north];
const topRight = [east, north];
const lowRight = [east, south];
return
[
[
lowLeft,
lowRight,
topRight,
topLeft,
lowLeft
]
]
最后,让我们创建索引并将您的电话号码插入
PUT /example
{
"mappings": {
"properties": {
"location": {
"type": "geo_shape"
}
}
}
}
POST /example/_doc
{
"location":{
"type":"polygon",
"coordinates":[
[
[
5.8663152683722,
47.2701236047002
],
[
15.0418156516163,
47.2701236047002
],
[
15.0418156516163,
55.0583836008072
],
[
5.8663152683722,
55.0583836008072
],
[
5.8663152683722,
47.2701236047002
]
]
]
}
}
然后验证正方形的中心是否确实在索引多边形内:
GET example/_search
{
"query": {
"geo_shape": {
"location": {
"shape": {
"type": "point",
"coordinates": [
10.45406545999425,
51.1642536027537
]
},
"relation": "intersects"
}
}
}
}