SqlBulkCopy从记事本批量复制数据4_sqlbulkcopy导出txt-优快云博客

本文链接：https://blog.youkuaiyun.com/wanglei_samrtfish/article/details/7658325

本文介绍了如何使用C#将TXT文件数据批量导入到数据库中，并利用SQLBulkCopy提高导入效率。通过创建DataTable，定义列类型和属性，然后通过StreamReader逐行读取TXT文件数据，构建DataTable的每一行。最后，使用SQLBulkCopy将DataTable数据写入到目标数据库表中。整个过程包括错误处理和性能优化，确保数据的正确性和高效导入。

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private
static DataTable GetTableSchema()
    {
        DataTable dataTable =
new DataTable();
 
        dataTable.Columns.Add("username", Type.GetType("System.String"));
 
        dataTable.Columns.Add("password", Type.GetType("System.String"));
 
        dataTable.Columns.Add("account", Type.GetType("System.String"));
 
        return
dataTable; 
    }

static 
void Main(string[] args)
        {
            try
            {
  
                string
filepath = @"TXT文件地址";
                StreamReader file =
new StreamReader(filepath, System.Text.Encoding.Default);
  
                string
username; 
                string
password; 
                string
acout; 
  
                Stopwatch stopwatch =
new Stopwatch();
                stopwatch.Start();
                DataTable dataTable = GetTableSchema();
                while
(true)
                {
                //从TXT读取数据部分
                DataRow dataRow = dataTable.NewRow();
                dataRow["username"] = username;
                dataRow["password"] = password;
                dataRow["account"] = acout;
                dataTable.Rows.Add(dataRow);
  
                }
  
                string
connectionString = "MSSQL连接字符串";
                SqlBulkCopy sqlBulkCopy =
new SqlBulkCopy(connectionString);
                sqlBulkCopy.DestinationTableName =
"表名"; 
                sqlBulkCopy.BatchSize = dataTable.Rows.Count;
                SqlConnection sqlConnection =
new SqlConnection(connectionString);
                sqlConnection.Open();
  
                if
(dataTable != null
&& dataTable.Rows.Count != 0) 
                {
                    sqlBulkCopy.WriteToServer(dataTable);
                }
                sqlBulkCopy.Close();
                sqlConnection.Close();
                dataTable.Clear();
                stopwatch.Stop();
  
                file.Close();
                }
            catch
(IOException e) 
            {
                Console.WriteLine(e.ToString());
            }
  
        }