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MySQL数据库inset性能优化_MySQL

May 27, 2016 pm 01:46 PM

我们在使用中MySQL的时候难免会遇到大批量数据inset的情况,通常最简单的方法就是写一个insert,然后通过循环给变量赋值,批量插入数据库:

                //save rddform
                for (int i = 0; i < rddformlist.Count; i++)
                {
                    string cmdText = "insert into rddform 
                    (ID,CreatedTime,ModifiedTime,CreatedBy,ModifiedBy,FormType) values 
                    (&#39;" + rddformlist[i].RddFormGuid + "&#39;,&#39;" + rddformlist[i].CreateTime + "&#39;,&#39;"
                     + rddformlist[i].ModifyTime + "&#39;,&#39;" + rddformlist[i].CreateBy + "&#39;,&#39;" 
                     + rddformlist[i].ModifyBy + "&#39;," + rddformlist[i].FormType + ")";
                    MySqlCommand mysqlcom = new MySqlCommand(cmdText, mysqlcon);
                    mysqlcom.Transaction = trans;  //绑定事务           
                    mysqlcom.ExecuteNonQuery();
                }
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经过方法经过亲测,性能不太好,本地大概是一秒insert20条数据,云上大概是一秒insert3条数据。两千条数据本地大概就要一分半,云上大概十几分,显然速度太慢了。

现在我们改为多条数据合并插入,就是用一个insert语句插入所有的数据:

//save rddform
                for (int i = 0; i < rddformlist.Count; i++)
                {
                    strRddForm.Append("(&#39;" + rddformlist[i].RddFormGuid + "&#39;,&#39;" 
                    + rddformlist[i].CreateTime + "&#39;,&#39;" + rddformlist[i].ModifyTime 
                    + "&#39;,&#39;" + rddformlist[i].CreateBy + "&#39;,&#39;" + rddformlist[i].ModifyBy 
                    + "&#39;,&#39;" + rddformlist[i].FormType + "&#39;)");
                    if (i<rddformlist.Count-1)
                    {
                        strRddForm.Append(",");
                    }
                }
                MySqlCommand rddformcom = new MySqlCommand(strRddForm.ToString(), mysqlcon);
                rddformcom.Transaction = trans;  //绑定事务           
                rddformcom.ExecuteNonQuery();
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亲测之后两千条本地真的是秒插,云上大概一秒多,这速度让人根本没有拒绝的理由,果断的把代码改了。当然速度可能根据个人机器以及网络环境因素有关,下面是网上牛人做的性能对比

注意事项:
 SQL语句是有长度限制,在进行数据合并在同一SQL中务必不能超过SQL长度限制,通过max_allowed_packet配置可以修改,默认是1M,测试时修改为8M。
 事务需要控制大小,事务太大可能会影响执行的效率。MySQL有innodb_log_buffer_size配置项,超过这个值会把innodb的数据刷到磁盘中,这时,效率会有所下降。所以比  较好的做法是,在数据达到这个这个值前进行事务提交。

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