How to insert 20 million record into MySql database as fast as possible

五迷三道 提交于 2019-11-27 05:36:26

you can use the concept of bulk insert which executes many inserts at the same time minimizing overhead of calling ExecuteNonQuery multiple times.

in MySQL this is called LOAD DATA, check here for details: http://dev.mysql.com/doc/refman/5.5/en/load-data.html

in MS SQL Server this is called bulk insert and it's known as such, that's why I've mentioned it with this name.

There are a number of ways to optimize bulk inserts. Some are:

  • LOAD DATA INFILE. There is a wrapper API for .NET. This is the fastest way, but has some limitations and semantic differences from simple inserts.

  • Multiple-row INSERT statements:

    INSERT INTO temperature (temperature) VALUES (1.0), (2.0), (3.0), ...

    You should not insert 20.000.000 rows at once, but may want to try 1.000-10.000 for a very large speed-up. This is a simple and very unproblematic way to increase speed. A factor of 10 and sometimes way more is often possible.

  • Locking the table (LOCK TABLES).

  • Disabling indexes temporarily.

  • MySQL options tuning.

  • INSERT DELAYED (most likely not that useful here).

The documentation does give you more elaborate detail on the options. Some options depend on the table type (InnoDB vs. MyISAM).

A general suggestion: Always specify the columns that you insert in front of VALUES. This makes for more maintainable code.

You should do bulk inserts. The ADO.NET way to do it is by using a DataAdapter.

For a MySQL specific solution, use the MySqlBulkLoader.

General rules :-

  1. use load data infile
  2. disable key during import, enable it back after all data has been import
  3. run the script at the database server itself, connect using socket instead of tcp/ip

Most of the tips are explained at the documentation.

易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!