Convert datatable to JSON in C#

Question

1. I want to get records from database into a DataTable.
2. Then convert the DataTable into a JSON object.
3. Return the JSON ob

Answer 1

You can use the same way as specified by Alireza Maddah and if u want to use two data table into one json array following is the way:

public string ConvertDataTabletoString()
{
DataTable dt = new DataTable();
DataTable dt1 = new DataTable();
using (SqlConnection con = new SqlConnection("Data Source=SureshDasari;Initial Catalog=master;Integrated Security=true"))
{
    using (SqlCommand cmd = new SqlCommand("select title=City,lat=latitude,lng=longitude,description from LocationDetails", con))
    {
        con.Open();
        SqlDataAdapter da = new SqlDataAdapter(cmd);
        da.Fill(dt);
        System.Web.Script.Serialization.JavaScriptSerializer serializer = new System.Web.Script.Serialization.JavaScriptSerializer();
        List> rows = new List>();
        Dictionary row;
        foreach (DataRow dr in dt.Rows)
        {
            row = new Dictionary();
            foreach (DataColumn col in dt.Columns)
            {
                row.Add(col.ColumnName, dr[col]);
            }
            rows.Add(row);
        }
        SqlCommand cmd1 = new SqlCommand("_another_query_", con);
                SqlDataAdapter da1 = new SqlDataAdapter(cmd1);
                da1.Fill(dt1);
                System.Web.Script.Serialization.JavaScriptSerializer serializer1 = new System.Web.Script.Serialization.JavaScriptSerializer();
                Dictionary row1;
                foreach (DataRow dr in dt1.Rows) //use the old variable rows only
                {
                    row1 = new Dictionary();
                    foreach (DataColumn col in dt1.Columns)
                    {
                        row1.Add(col.ColumnName, dr[col]);
                    }
                    rows.Add(row1); // Finally You can add into old json array in this way
                }
        return serializer.Serialize(rows);
    }
}
}

The same way can be used for as many as data tables as you want.