整个问题的关键在这里:

if (-1 == index) {
    throw ADP.IndexOutOfRange(fieldName);
}

如果引用的三行(目前是第72、73和74行)被删除，那么您可以很容易地检查-1，以确定列是否不存在。

确保本机性能的唯一方法是使用基于反射的实现，如下所示:

Usings:

using System;
using System.Data;
using System.Reflection;
using System.Data.SqlClient;
using System.Linq;
using System.Web.Compilation; // I'm not sure what the .NET Core equivalent to BuildManager.cs

基于反射的扩展方法:

/// Gets the column ordinal, given the name of the column.
/// </summary>
/// <param name="reader"></param>
/// <param name="name">The name of the column.</param>
/// <returns> The zero-based column ordinal. -1 if the column does not exist.</returns>
public static int GetOrdinalSoft(this SqlDataReader reader, string name)
{
    try
    {
        // Note that "Statistics" will not be accounted for in this implemenation
        // If you have SqlConnection.StatisticsEnabled set to true (the default is false), you probably don't want to use this method
        // All of the following logic is inspired by the actual implementation of the framework:
        // https://referencesource.microsoft.com/#System.Data/fx/src/data/System/Data/SqlClient/SqlDataReader.cs,d66096b6f57cac74
        if (name == null)
            throw new ArgumentNullException("fieldName");

        Type sqlDataReaderType = typeof(SqlDataReader);
        object fieldNameLookup = sqlDataReaderType.GetField("_fieldNameLookup", BindingFlags.NonPublic | BindingFlags.Instance).GetValue(reader);
        Type fieldNameLookupType;
        if (fieldNameLookup == null)
        {
            MethodInfo checkMetaDataIsReady = sqlDataReaderType.GetRuntimeMethods().First(x => x.Name == "CheckMetaDataIsReady" && x.GetParameters().Length == 0);
            checkMetaDataIsReady.Invoke(reader, null);
            fieldNameLookupType = BuildManager.GetType("System.Data.ProviderBase.FieldNameLookup", true, false);
            ConstructorInfo ctor = fieldNameLookupType.GetConstructor(new[] { typeof(SqlDataReader), typeof(int) });
            fieldNameLookup = ctor.Invoke(new object[] { reader, sqlDataReaderType.GetField("_defaultLCID", BindingFlags.NonPublic | BindingFlags.Instance).GetValue(reader) });
        }
        else
            fieldNameLookupType = fieldNameLookup.GetType();

        MethodInfo indexOf = fieldNameLookupType.GetMethod("IndexOf", BindingFlags.Public | BindingFlags.Instance, null, new Type[] { typeof(string) }, null);

        return (int)indexOf.Invoke(fieldNameLookup, new object[] { name });
    }
    catch
    {
        // .NET Implemenation might have changed, revert back to the classic solution.
        if (reader.FieldCount > 11) // Performance observation by b_levitt
        {
            try
            {
                return reader.GetOrdinal(name);
            }
            catch
            {
                return -1;
            }
        }
        else
        {
            var exists = Enumerable.Range(0, reader.FieldCount).Any(i => string.Equals(reader.GetName(i), name, StringComparison.OrdinalIgnoreCase));
            if (exists)
                return reader.GetOrdinal(name);
            else
                return -1;
        }
    }
}

为了保持你的代码健壮和干净，使用一个扩展函数，像这样:

    Public Module Extensions

        <Extension()>
        Public Function HasColumn(r As SqlDataReader, columnName As String) As Boolean

            Return If(String.IsNullOrEmpty(columnName) OrElse r.FieldCount = 0, False, Enumerable.Range(0, r.FieldCount).Select(Function(i) r.GetName(i)).Contains(columnName, StringComparer.OrdinalIgnoreCase))

        End Function

    End Module

public static bool DataViewColumnExists(DataView dv, string columnName)
{
    return DataTableColumnExists(dv.Table, columnName);
}

public static bool DataTableColumnExists(DataTable dt, string columnName)
{
    string DebugTrace = "Utils::DataTableColumnExists(" + dt.ToString() + ")";
    try
    {
        return dt.Columns.Contains(columnName);
    }
    catch (Exception ex)
    {
        throw new MyExceptionHandler(ex, DebugTrace);
    }
}

列。Contains不区分大小写。

Use:

if (dr.GetSchemaTable().Columns.Contains("accounttype"))
   do something
else
   do something

在循环中它可能没有那么有效。

正确的代码是:

public static bool HasColumn(DbDataReader Reader, string ColumnName) { 
    foreach (DataRow row in Reader.GetSchemaTable().Rows) { 
        if (row["ColumnName"].ToString() == ColumnName) 
            return true; 
    } //Still here? Column not found. 
    return false; 
}

如果你读了这个问题，Michael问的是DataReader，而不是DataRecord。让你的对象正确。

在数据记录上使用r.GetSchemaTable(). columns . contains (field)可以工作，但它返回BS列(见下面的截图)。

要查看一个数据列是否存在并且在DataReader中包含数据，使用以下扩展:

public static class DataReaderExtensions
{
    /// <summary>
    /// Checks if a column's value is DBNull
    /// </summary>
    /// <param name="dataReader">The data reader</param>
    /// <param name="columnName">The column name</param>
    /// <returns>A bool indicating if the column's value is DBNull</returns>
    public static bool IsDBNull(this IDataReader dataReader, string columnName)
    {
        return dataReader[columnName] == DBNull.Value;
    }

    /// <summary>
    /// Checks if a column exists in a data reader
    /// </summary>
    /// <param name="dataReader">The data reader</param>
    /// <param name="columnName">The column name</param>
    /// <returns>A bool indicating the column exists</returns>
    public static bool ContainsColumn(this IDataReader dataReader, string columnName)
    {
        /// See: http://stackoverflow.com/questions/373230/check-for-column-name-in-a-sqldatareader-object/7248381#7248381
        try
        {
            return dataReader.GetOrdinal(columnName) >= 0;
        }
        catch (IndexOutOfRangeException)
        {
            return false;
        }
    }
}

用法:

    public static bool CanCreate(SqlDataReader dataReader)
    {
        return dataReader.ContainsColumn("RoleTemplateId") 
            && !dataReader.IsDBNull("RoleTemplateId");
    }

调用r.GetSchemaTable()。DataReader上的Columns返回BS列: