使用扩展方法:

    public static List<string> ColumnList(this IDataReader dataReader)
    {
        var columns = new List<string>();
        for (int i = 0; i < dataReader.FieldCount; i++)
        {
            columns.Add(dataReader.GetName(i));
        }
        return columns;
    }

如果你只想要列名，你可以这样做:

List<string> columns = new List<string>();
using (SqlDataReader reader = cmd.ExecuteReader(CommandBehavior.SchemaOnly))
{
    DataTable dt = reader.GetSchemaTable();
    foreach (DataRow row in dt.Rows)
    {
        columns.Add(row.Field<String>("ColumnName"));
    }
}

但如果只需要一行，我喜欢添加的AdoHelper。如果你有一个单行查询，你不想在你的代码中处理数据表，这个添加是伟大的。它返回一个不区分大小写的列名和值字典。

public static Dictionary<string, string> ExecuteCaseInsensitiveDictionary(string query, string connectionString, Dictionary<string, string> queryParams = null)
{
    Dictionary<string, string> CaseInsensitiveDictionary = new Dictionary<string, string>(StringComparer.OrdinalIgnoreCase);
    try
    {
        using (SqlConnection conn = new SqlConnection(connectionString))
        {
            conn.Open();
            using (SqlCommand cmd = new SqlCommand())
            {
                cmd.Connection = conn;
                cmd.CommandType = CommandType.Text;
                cmd.CommandText = query;

                // Add the parameters for the SelectCommand.
                if (queryParams != null)
                    foreach (var param in queryParams)
                        cmd.Parameters.AddWithValue(param.Key, param.Value);

                using (SqlDataReader reader = cmd.ExecuteReader())
                {
                    DataTable dt = new DataTable();
                    dt.Load(reader);
                    foreach (DataRow row in dt.Rows)
                    {
                        foreach (DataColumn column in dt.Columns)
                        {
                            CaseInsensitiveDictionary.Add(column.ColumnName, row[column].ToString());
                        }
                    }
                }
            }
            conn.Close();
        }
    }
    catch (Exception ex)
    {
        throw ex;
    }
    return CaseInsensitiveDictionary;
}

var reader = cmd.ExecuteReader();

var columns = new List<string>();

for(int i=0;i<reader.FieldCount;i++)
{
   columns.Add(reader.GetName(i));
}

or

var columns = Enumerable.Range(0, reader.FieldCount).Select(reader.GetName).ToList();

已经提到过。只是一个LINQ答案:

var columns = reader.GetSchemaTable().Rows
                                     .Cast<DataRow>()
                                     .Select(r => (string)r["ColumnName"])
                                     .ToList();

//Or

var columns = Enumerable.Range(0, reader.FieldCount)
                        .Select(reader.GetName)
                        .ToList();

第二个更干净更快。即使在第一种方法中缓存GetSchemaTable，查询也会非常慢。

在SQL中更容易实现

var columnsList = dbContext.Database.SqlQuery<string>("SELECT COLUMN_NAME FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_SCHEMA = 'SCHEMA_OF_YOUE_TABLE' AND TABLE_NAME = 'YOUR_TABLE_NAME'").ToList();

你当然可以。

protected void GetColumNames_DataReader()
{
  System.Data.SqlClient.SqlConnection SqlCon = new System.Data.SqlClient.SqlConnection("server=localhost;database=northwind;trusted_connection=true");
  System.Data.SqlClient.SqlCommand SqlCmd = new System.Data.SqlClient.SqlCommand("SELECT * FROM Products", SqlCon);

  SqlCon.Open();

  System.Data.SqlClient.SqlDataReader SqlReader = SqlCmd.ExecuteReader();
  System.Int32 _columncount = SqlReader.FieldCount;

  System.Web.HttpContext.Current.Response.Write("SqlDataReader Columns");
  System.Web.HttpContext.Current.Response.Write(" ");

  for ( System.Int32 iCol = 0; iCol < _columncount; iCol ++ )
  {
    System.Web.HttpContext.Current.Response.Write("Column " + iCol.ToString() + ": ");
    System.Web.HttpContext.Current.Response.Write(SqlReader.GetName( iCol ).ToString());
    System.Web.HttpContext.Current.Response.Write(" ");
  }

}

这最初来自:http://www.dotnetjunkies.ddj.com/Article/B82A22D1-8437-4C7A-B6AA-C6C9BE9DB8A6.dcik