如何將嵌套的 Json 解析為 MS SQL 表？

Question

I would like to parse this Json response file coming from a rest api to a MS SQL table in C# as I don't want to loop multiple times as the files could be big. 我只需要將嵌套塊 PolicyPayrolls Policy Details 存儲到表中。 有什么辦法可以存儲解析這個插入到表中的嵌套塊。 我該如何處理？

      {
   "ValidationErrors":[
      
   ],
   "ApplicationExceptions":[
      
   ],
   "PageSize":2,
   "CurrentPageIndex":1,
   "NextPageIndex":2,
   "PolicyStatus":"CANCELLED",
   "PayrollStatus":"OUTSTANDING",
   "PolicyPayrolls":[
      {
         "PolicyDetails":{
            "PolicyName":"Test 1",
            "PolicyHeaderId":1133,
            "GroupIdn":"",
            "PolicyNumber":234,
            "PolicyUnitNumber":16612,
            "PolicyYearDate":"2022",
            "PolicySuffixCode":"",
            "InceptionDate":"2022-01-08T00:00:00",
            "ExpirationnDate":"2023-01-08T00:00:00",
            "BillPlanType":"STIPULATED"
         },
         "PayrollDetails":[
            {
               "PayrollId":1284,
               "PayrollStatus":"Outstanding",
               "StartDate":"2022-01-08T00:00:00",
               "EndDate":"2022-06-06T00:00:00",
               "DueDate":"2022-07-07T18:59:08.0316001"
            }
         ]
      },
      {
         "PolicyDetails":{
            "PolicyName":"TEST POLICY 2313",
            "PolicyHeaderId":625,
            "GroupIdn":"",
            "PolicyNumber":4381,
            "PolicyUnitNumber":193,
            "PolicyYearDate":"2021",
            "PolicySuffixCode":"",
            "InceptionDate":"2021-07-01T00:00:00",
            "ExpirationnDate":"2022-07-01T00:00:00",
            "BillPlanType":"STIPULATED"
         },
         "PayrollDetails":[
            {
               "PayrollId":1200,
               "PayrollStatus":"Outstanding",
               "StartDate":"2022-01-01T00:00:00",
               "EndDate":"2022-06-06T00:00:00",
               "DueDate":"2022-07-07T18:58:06.0948818"
            }
         ]
      }
   ],
   "PolicyUnitNumber":0,
   "PolicyYearDate":null,
   "SucessResult":true,
   "ResultCount":69
}

DDL

 CREATE TABLE [DBO].[POLICY_OUTSTANDING](
  [Id] [bigint] IDENTITY(1,1) NOT NULL,
  [PolicyYear] [varchar](50) NULL,
  [PolicySuffix] [varchar](20) NULL,
  [PolicyUnitNumber] [varchar](50) NULL,
  [PolicyGroupId] [varchar](50) NULL,
  [CreatedBy] [varchar](20) NOT NULL DEFAULT ('DEVDB'),
  [CreatedDate] [datetime2](7) NOT NULL CONSTRAINT [DC_PolicyDue_CreatedDate]  DEFAULT (getdate()),
  [UpdatedBy] [varchar](20) NOT NULL CONSTRAINT [DC_PolicyDue_ModifiedBy]  DEFAULT ('DEVDB'),
  [UpdatedDate] [datetime2](7) NOT NULL CONSTRAINT [DC_PolicyDue_ModifiedDate]  DEFAULT (getdate()),
  [InceptionDate] [datetime2](7) NULL,
  [ExpirationDate] [datetime2](7) NULL,
  [PolicyNumber] INT NULL,
    CONSTRAINT [PK_PolicyDue] PRIMARY KEY CLUSTERED 
     (
   [Id] ASC
     )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, 
     IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS 
     = ON) ON [PRIMARY]
     ) ON [PRIMARY]

     GO

Answer 1

是 SQL 服務器吧？ 雖然SQL服務器的JSON能力不多（相比說postgreSQL），但還是可以使用OpenJson()、Json_value()。 IE：

SELECT pd.pn,
       pd.phid,
       pd.gid,
       pd.pnum,
       pd.punit,
       pd.pyear,
       pd.psuffix,
       pd.incedption,
       pd.expires,
       pd.plantype,
       PayrollId,
       PayrollStatus,
       StartDate,
       EndDate,
       DueDate
FROM
    OPENJSON(@json)
    WITH
    (
        PolicyPayrolls NVARCHAR(MAX) AS JSON
    ) t
    CROSS APPLY
    OPENJSON(t.PolicyPayrolls)
    WITH
    (
        PolicyDetails NVARCHAR(MAX) AS JSON,
        PayrollDetails NVARCHAR(MAX) AS JSON
    ) pp
    CROSS APPLY
(
    SELECT JSON_VALUE(pp.PolicyDetails, '$.PolicyName'),
           JSON_VALUE(pp.PolicyDetails, '$.PolicyHeaderId'),
           JSON_VALUE(pp.PolicyDetails, '$.GroupIdn'),
           JSON_VALUE(pp.PolicyDetails, '$.PolicyNumber'),
           JSON_VALUE(pp.PolicyDetails, '$.PolicyUnitNumber'),
           JSON_VALUE(pp.PolicyDetails, '$.PolicyYearDate'),
           JSON_VALUE(pp.PolicyDetails, '$.PolicySuffixCode'),
           JSON_VALUE(pp.PolicyDetails, '$.InceptionDate'),
           JSON_VALUE(pp.PolicyDetails, '$.ExpirationnDate'),
           JSON_VALUE(pp.PolicyDetails, '$.BillPlanType')
) pd(pn, phid, gid, pnum, punit, pyear, psuffix, incedption, expires, plantype)
    CROSS APPLY
    OPENJSON(pp.PayrollDetails)
    WITH
    (
        PayrollId INT,
        PayrollStatus VARCHAR(20),
        StartDate DATE,
        EndDate DATE,
        DueDate DATE
    );

DBFiddle 演示在這里

編輯：我之前沒有注意到 C# 。 如果您要在 C# 中執行此操作，那么確實會容易得多。 您可以創建匹配的類並使用它進行反序列化，或者使用 newtonsoft 的匿名反序列化。 IE：

var policies = JsonConvert.DeserializeAnonymousType(json, new
{
    PolicyPayrolls = new[] {
    new {
            PolicyDetails = new {
            PolicyName="",
            PolicyHeaderId=0,
            GroupIdn="",
            PolicyNumber=0,
            PolicyUnitNumber=0,
            PolicyYearDate=0,
            PolicySuffixCode="",
            InceptionDate=DateTime.Now,
            ExpirationnDate=DateTime.Now,
            BillPlanType=""
        },
    PayrollDetails = new[] {
            new {PayrollId=0,
           PayrollStatus="",
           StartDate=DateTime.Now,
           EndDate=DateTime.Now,
           DueDate=DateTime.Now}
        }
    }
    }
});

結果如下：

Answer 2

看看Newtonsoft.Json Nuget package。 我用過它，它真的很簡單； 您可以從 MSSQL 檢索整個字段，然后在 C# 應用程序中處理它。

要將文本解析為 JToken：

JToken token = JObect.Parse(text);

要讀取特定值：

int age = token["age"].Value<int>();

瀏覽子節點：

List<JToken> children = token.Children();