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HomeDatabaseMysql Tutorial海量数据插入数据库效率对比测试---ADO.NET下SqlBulkCopy()对比L

摘要:使用.NET相关技术向数据库中插入海量数据是常用操作。本文对比ADO.NET和LINQ两种技术,分别使用SqlBulkCopy()和InsertAllOnSubmit()方法进行操作。得出结论:相同插入工作量(1w条数据)插入效率相差200倍之巨! 测试场景: 准备两个数据库TestDb和Tes

摘要:使用.NET相关技术向数据库中插入海量数据是常用操作。本文对比ADO.NET和LINQ两种技术,分别使用SqlBulkCopy()和InsertAllOnSubmit()方法进行操作。得出结论:相同插入工作量(1w条数据)插入效率相差200倍之巨!

测试场景:

准备两个数据库TestDb和TestDb2,有表:T_Users。表结构如下图所示:

\

SqlBulkCopy()插入方法如下:

private static Stopwatch InsertUsingSqlBulkCopy(List<UserInMemory> list)
        {
            Stopwatch stopWatch = new Stopwatch();
            stopWatch.Start();
            DataTable dt = new DataTable();
            dt.Columns.Add("ID");
            dt.Columns.Add("UserName");
            for (int i = 0; i < list.Count; i++)
            {
                DataRow row = dt.NewRow();
                row["ID"] = list[i].ID;
                row["UserName"] = list[i].UserName;
                dt.Rows.Add(row);
            }
            using (SqlConnection con = new SqlConnection(connStr2))
            {
                con.Open();
                using (SqlBulkCopy bulkCopy = new SqlBulkCopy(con))
                {
                    try
                    {
                        bulkCopy.DestinationTableName = "dbo.T_UserName";
                        bulkCopy.ColumnMappings.Add("ID", "ID");
                        bulkCopy.ColumnMappings.Add("UserName", "UserName");
                        bulkCopy.WriteToServer(dt);
                    }
                    catch (Exception ex)
                    {
                        Console.WriteLine(ex.ToString());
                    }
                    finally { con.Close(); }
                }
            }
            stopWatch.Stop();
            return stopWatch;
        }

LINQ插入方法如下所示:

private static Stopwatch InsertUsingLINQ(List<T_User> _list)
        {
            Stopwatch stopWatch = new Stopwatch();
            stopWatch.Start();
            DataClasses1DataContext dataContext = new DataClasses1DataContext();
            dataContext.T_Users.InsertAllOnSubmit(_list);
            dataContext.SubmitChanges();
            stopWatch.Stop();
            return stopWatch;
        }

使用上述代码分别导入1万条User数据进入数据库。

得到结果如下图所示:

\

相同插入工作量(1w条数据)前提下,结论:

1 ADO.NET下SqlBulkCopy()方法是LINQ TO SQL下InsertAllOnSubmit()方法插入效率相差266倍之巨!

2 LINQ使用便捷、代码简短、学习成本低,语言表达优雅;但是,如果对效率要求较高的海量数据相关操作优先推荐使用ADO.NET方法。

相关源码下载地址:http://download.csdn.net/detail/fanrong1985/8130953

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