如何使用 NEST(C#) 在 Elasticsearch 中 upload/index 一个 GeoJson 文件
How to upload/index a GeoJson file in Elasticsearch using NEST(C#)
我有 GeoJson 文件,我想通过 NEST 在 Elastic Search 上建立索引
但是由于缺乏专业知识,我在索引文档时遇到了麻烦
我创建了一个 class 代表 ElasticSearch 上的映射:
public class GeoDocument
{
[Nest.Keyword(Name = "DocId")]
public string DocId { get; set; }
[Nest.GeoShape(Name = "GeoField")]
public object GeoField { get; set; }
}
但是当我使用这个映射来索引文档时
var polygon = "{\"type\":\"Polygon\",\"coordinates\":[[[5.856956,51.002753],[5.856928,51.002771],[5.856687,51.002853],[5.856956,51.002753]]]}";
var geoDocument = new GeoJson
{
DocId = "1",
GeoField = JsonConvert.DeserializeObject<object>(polygon)
};
var IndexResponse = client.IndexDocument(geoDocument);
我得到了这样的结果
"_source": {
"DocId": "1",
"GeoField": [
[
[]
],
[
[
[
[
[],
[]
],
[
[],
[]
],
[
[],
[]
],
[
[],
[]
]
]
]
]
]
}
}
为了正确保存 JObject,您必须告诉 ElasticClient 使用 NewtonSoft .Net 序列化程序。
- 安装NEST.JsonNetSerializer包
- 在您的 ConnectionSettings 中引用 JsonNetSerializer
- 如果您在更改设置后得到 400,您可能需要创建一个新索引。
示例代码
using Nest;
using Elasticsearch.Net;
using Nest.JsonNetSerializer;
SingleNodeConnectionPool node = new SingleNodeConnectionPool(new Uri("http://localhost:9200"));
ConnectionSettings settings = new ConnectionSettings(
node,
JsonNetSerializer.Default
);
settings.DefaultMappingFor<GeoDocument>(m => m.IndexName("project2"));
ElasticClient client = new ElasticClient(settings);
// This is Supposed to be GeoDocument as per your question.
GeoDocument geoDocument = new GeoDocument
{
DocId = "1",
GeoField = JObject.Parse(polygon)
// GeoField = JsonConvert.DeserializeObject<object>(polygon) // <-- Works too.
};
IndexResponse IndexResponse = client.IndexDocument(geoDocument);
回应
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 1.0,
"hits": [
{
"_index": "project2",
"_type": "_doc",
"_id": "COQRXW8BNG2RJmIOyoO0",
"_score": 1.0,
"_source": {
"DocId": "1",
"GeoField": {
"type": "Polygon",
"coordinates": [
[
[
5.856956,
51.002753
],
[
5.856928,
51.002771
],
[
5.856687,
51.002853
],
[
5.856956,
51.002753
]
]
]
}
}
}
]
}
}
我有 GeoJson 文件,我想通过 NEST 在 Elastic Search 上建立索引 但是由于缺乏专业知识,我在索引文档时遇到了麻烦 我创建了一个 class 代表 ElasticSearch 上的映射:
public class GeoDocument
{
[Nest.Keyword(Name = "DocId")]
public string DocId { get; set; }
[Nest.GeoShape(Name = "GeoField")]
public object GeoField { get; set; }
}
但是当我使用这个映射来索引文档时
var polygon = "{\"type\":\"Polygon\",\"coordinates\":[[[5.856956,51.002753],[5.856928,51.002771],[5.856687,51.002853],[5.856956,51.002753]]]}";
var geoDocument = new GeoJson
{
DocId = "1",
GeoField = JsonConvert.DeserializeObject<object>(polygon)
};
var IndexResponse = client.IndexDocument(geoDocument);
我得到了这样的结果
"_source": {
"DocId": "1",
"GeoField": [
[
[]
],
[
[
[
[
[],
[]
],
[
[],
[]
],
[
[],
[]
],
[
[],
[]
]
]
]
]
]
}
}
为了正确保存 JObject,您必须告诉 ElasticClient 使用 NewtonSoft .Net 序列化程序。
- 安装NEST.JsonNetSerializer包
- 在您的 ConnectionSettings 中引用 JsonNetSerializer
- 如果您在更改设置后得到 400,您可能需要创建一个新索引。
示例代码
using Nest;
using Elasticsearch.Net;
using Nest.JsonNetSerializer;
SingleNodeConnectionPool node = new SingleNodeConnectionPool(new Uri("http://localhost:9200"));
ConnectionSettings settings = new ConnectionSettings(
node,
JsonNetSerializer.Default
);
settings.DefaultMappingFor<GeoDocument>(m => m.IndexName("project2"));
ElasticClient client = new ElasticClient(settings);
// This is Supposed to be GeoDocument as per your question.
GeoDocument geoDocument = new GeoDocument
{
DocId = "1",
GeoField = JObject.Parse(polygon)
// GeoField = JsonConvert.DeserializeObject<object>(polygon) // <-- Works too.
};
IndexResponse IndexResponse = client.IndexDocument(geoDocument);
回应
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 1.0,
"hits": [
{
"_index": "project2",
"_type": "_doc",
"_id": "COQRXW8BNG2RJmIOyoO0",
"_score": 1.0,
"_source": {
"DocId": "1",
"GeoField": {
"type": "Polygon",
"coordinates": [
[
[
5.856956,
51.002753
],
[
5.856928,
51.002771
],
[
5.856687,
51.002853
],
[
5.856956,
51.002753
]
]
]
}
}
}
]
}
}