System.OutOfMemoryException'从文本文件读取数据时抛出

我试图读取一个文本文件数据与"|"分隔，我使用下面的代码。我能够从文本文件读取数据后，试图将数据表的数据放入数据视图，我得到异常类型'系统。OutOfMemoryException'被抛出，

有谁能告诉我如何避免这种例外吗?

string filepath = System.Configuration.ConfigurationManager.AppSettings["data"];  
if (filepath != "")
            {
                DataTable dt = new DataTable("file");
                string[] columns1 = null;
                var lines = File.ReadAllLines(filepath);
                int Count = lines.Length;
                //here taking columns and adding to table
                 if (lines.Count() > 0)
                {
                    columns1 = lines[0].Split(new char[] { '|' });
                    foreach (var column in columns1)
                        dt.Columns.Add(column);
                }                   
                 for (int i = 1; i < lines.Count(); i++)
                {
                    DataRow dr = dt.NewRow();
                    string[] values = lines[i].Split(new char[] { '|'  });
                    for (int j = 0; j < values.Count() && j < columns1.Count(); j++)
                    {
                      dr[j] = values[j];
                    }
                }
                 dt.Rows.Add(dr);   
                    DataView View = new DataView(dt);
                    //Here I m getting "Exception of type 'System.OutOfMemoryException' was thrown."
                    DataTable MD = View.ToTable("MD", false, "ID", "Description")
                    DataTable MM = View.ToTable("MM", false, "RecordNumber", "Item description")
                if (MD.Rows.Count > 0)
                {
                    InsertData(MD);
                }
                if (MM.Rows.Count > 0)
                {
                    InsertData1(MM);
                }
            }

: -

    at System.Collections.Generic.List`1.set_Capacity(Int32 value)
    at System.Collections.Generic.List`1.EnsureCapacity(Int32 min)
    at System.Collections.Generic.List`1.Add(T item)
    at System.Data.DataView.ToTable(String tableName, Boolean distinct, String[] columnNames)