方法一、保持json层次结构
在检索的情况下,如果两个派生对象具有Id和Ids等可区分的属性,您可以先在JObject中进行比较,然后再根据您的类型创建。
string collectionName = "YourCollectionName";
Guid id = Guid.Parse("275319a3-d395-46f2-9370-f3eadf691e03"); // Manually set GUID for test purpose.
Uri documentUri = UriFactory.CreateDocumentUri(DocumentDbDatabaseNameConfig, collectionName, id.ToString());
Uri collectionUri = UriFactory.CreateDocumentCollectionUri(DocumentDbDatabaseNameConfig, collectionName);
// test variables.
var list = new List<Items>();
list.Add(new SingleItemResponse() { Rating = 2.2d, Id = "id" });
list.Add(new MultipletemResponse() { Rating = 2.2d, Ids = new List<string>() { "ids1", "ids2"}});
JObject jInput = new JObject();
jInput.Add("id", id);
jInput.Add("list", JArray.FromObject(list));
// Store data.
var upsertedResult = _documentDbclient.UpsertDocumentAsync(collectionUri, jInput, null, true).Result;
// Read stored data.
var result = _documentDbclient.ReadDocumentAsync(documentUri).Result;
JObject jResult = (dynamic)result.Resource;
JArray jArray = (JArray) jResult["list"];
foreach (var jElement in jArray)
{
if (jElement["Id"] != null)
{
SingleItemResponse single = (SingleItemResponse)jElement.ToObject(typeof(SingleItemResponse));
// Do your job with single instance.
}
else if (jElement["Ids"] != null)
{
MultipletemResponse multiple = (MultipletemResponse)jElement.ToObject(typeof(MultipletemResponse));
// Do your job with multiple instance.
}
}
另外,插入的数据如下;
{
"id": "275319a3-d395-46f2-9370-f3eadf691e03",
"list": [
{
"Id": "id",
"Rating": 2.2
},
{
"Ids": [
"ids1",
"ids2"
],
"Rating": 2.2
}
],
"_rid": "KywuAN7aNQABAAAAAAAAAA==",
"_self": "dbs/KywuAA==/colls/KywuAN7aNQA=/docs/KywuAN7aNQABAAAAAAAAAA==/",
"_etag": "\"0000ee05-0000-0000-0000-57ff9ecb0000\"",
"_attachments": "attachments/",
"_ts": 1476370121
}
方法2. 压缩成内联json序列化字符串
这个方法得到了this post的提示。以我的经验,我无法制作正确的序列化结果,其中每个项目都包含自己的类型。但理论上,它可以工作。
JObject jInput = new JObject();
// Use custom serialize/deserialize setting.
JsonSerializerSettings settings = new JsonSerializerSettings
{
TypeNameHandling = TypeNameHandling.Auto
};
JArray jArray = JArray.FromObject(list);
string strJson = JsonConvert.SerializeObject(jArray, settings);
jInput.Add("id", id);
jInput.Add("strJson", strJson); // treat json just like strings.
var upsertedResult = _documentDbclient.UpsertDocumentAsync(collectionUri, jInput, null, true).Result;
var result = _documentDbclient.ReadDocumentAsync(documentUri).Result;
JObject jResult = (dynamic)result.Resource;
jResult.ToString().Dump();
List<Items> obj = JsonConvert.DeserializeObject<List<Items>>(jResult["strJson"].Value<string>(), settings);