我正在尝试使用NEST从弹性搜索中检索数据。一切都会很好,但是NEST所有字段都返回null。但是,在调试模式下,我看到它可以正确计数文档,但没有显示字段的值。
我已经做了:
现在是我的代码
public class ElasticSearch
{
private ElasticClient _client;
public ElasticSearch()
{
var node = new Uri("http://localhost:9200");
var settings = new ConnectionSettings(node);
settings.DefaultIndex("logsystem.logs");
_client = new ElasticClient(settings);
}
public void searchResults()
{
var searchResults = _client.Search<Product>(s => s.AllIndices());
}
}
Product.cs
[BsonIgnoreExtraElements]
public class Product
{
[BsonId]
[BsonIgnore]
public ObjectId Id { get; set; }
[Required]
public string Name { get; set; }
[Required]
public string ProductLicenseKey { get; set; }
[Required]
public string Action { get; set; }
[Required]
public string ActionName { get; set; }
[Required]
public string MachineId { get; set; }
}
在ElasticSearch中映射:
{
"logsystem.logs": {
"mappings": {
"properties": {
"Action": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"ActionName": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"MachineId": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"Name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"ProductLicenseKey": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
}
也许我的映射不正确?任何答案都会有所帮助。谢谢。
编辑ElasticSearch文档通过邮递员获得:
{
"took": 11,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": 1.0,
"hits": [
{
"_index": "logsystem.logs",
"_type": "_doc",
"_id": "5e5c1ca2aaa6f1245cc38895",
"_score": 1.0,
"_source": {
"Action": "Button",
"ActionName": "Fixed Single Generation",
"MachineId": "987-654-321",
"Name": "System",
"ProductLicenseKey": "123-456-789"
}
},
{
"_index": "logsystem.logs",
"_type": "_doc",
"_id": "5e5c1cb0aaa6f1245cc38896",
"_score": 1.0,
"_source": {
"Action": "Button",
"ActionName": "Fixed Multiple Generation",
"MachineId": "987-654-321",
"Name": "System",
"ProductLicenseKey": "123-456-789"
}
},
{
"_index": "logsystem.logs",
"_type": "_doc",
"_id": "5e5c1cbdaaa6f1245cc38897",
"_score": 1.0,
"_source": {
"Action": "Button",
"ActionName": "Trackers Single Generation",
"MachineId": "987-654-321",
"Name": "System",
"ProductLicenseKey": "123-456-789"
}
},
{
"_index": "logsystem.logs",
"_type": "_doc",
"_id": "5e5c1ccbaaa6f1245cc38898",
"_score": 1.0,
"_source": {
"Action": "Button",
"ActionName": "Trackers Multiple Generation",
"MachineId": "987-654-321",
"Name": "System",
"ProductLicenseKey": "123-456-789"
}
},
{
"_index": "logsystem.logs",
"_type": "_doc",
"_id": "5e5c1cd3aaa6f1245cc38899",
"_score": 1.0,
"_source": {
"Action": "Button",
"ActionName": "Fixed Multiple Generation",
"MachineId": "987-654-321",
"Name": "System",
"ProductLicenseKey": "123-456-789"
}
},
{
"_index": "logsystem.logs",
"_type": "_doc",
"_id": "5e5c1ce0aaa6f1245cc3889a",
"_score": 1.0,
"_source": {
"Action": "Button",
"ActionName": "Tree Generation",
"MachineId": "987-654-321",
"Name": "System",
"ProductLicenseKey": "123-456-789"
}
}
]
}
}
因此问题是客户端试图将驼峰式JSON对象的键反序列化为POCO属性,并且严格进行了转换。