RiverOx.Utility 1.0.1

.NET Framework 
dotnet add package RiverOx.Utility --version 1.0.1
NuGet\Install-Package RiverOx.Utility -Version 1.0.1
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="RiverOx.Utility" Version="1.0.1">
  <PrivateAssets>all</PrivateAssets>
  <IncludeAssets>runtime; build; native; contentfiles; analyzers</IncludeAssets>
</PackageReference>
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add RiverOx.Utility --version 1.0.1
#r "nuget: RiverOx.Utility, 1.0.1"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install RiverOx.Utility as a Cake Addin
#addin nuget:?package=RiverOx.Utility&version=1.0.1

// Install RiverOx.Utility as a Cake Tool
#tool nuget:?package=RiverOx.Utility&version=1.0.1

Converts SQL DataTable to JSON format.

Usage:

Add the nuget package in your project.
Use the function below.
RiverOx.Utility.Convert.SqlToJson(DataTable, "primaryKeyColumnName")

Product Compatible and additional computed target framework versions.
.NET Framework net is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.1 7,671 7/16/2017

Relase Note [1.0.0.0]
SQL Datatable to JSON format.
Allowed converstion  
A{}
B[]
A{B{}}
A{B[]}


Example:

SELECT
ta.colA0 AS colA0, -- Primary Key
ta.colA1 AS colA1,
tb.colB0 AS B.colB0,
tb.colB1 AS B.colB1,
tc.colC0 AS B.C[colC0],
tc.colC1 AS B.C[colC1]
td.colD0 AS D[colD0],
td.colD1 AS D[colD1]

FROM TableA ta
LEFT JOIN TableB tb on ta.colA0 = tb.colB0
LEFT JOIN TableC tc on tb.colB0 = tc.colC0
LEFT JOIN TableD td on tc.colC0 = td.colD0

| colA0   colA1   B.colB0  B.colB1  B.C[colC0]  B.C[colC1]   D[colD0] D[colD1]   |

| 1        ARow1  BRow11   BRow12   CRow11      CRow11A      DRow11   DRow11A    |
| 1        ARow1  BRow11   BRow12   CRow12      CRow12A      DRow12   DRow12A    |

Result:
[
 {
   "colA0": 1,
   "colA1": "ARow1",
   "B": {
     "colB0": "BRow11",
     "colB1": "BRow12",
     "C": [
{"colC0": "CRow11","colC1": "CRow11A"},
       {"colC0": "CRow12","colC1": "CRow12A"}
     ]
   },
   "D": [
{"colD0": "DRow11","colD1": "DRow11A"}
   ]
 }
]