是的，我们通过保留SQL作为构建的一部分来做到这一点——我们保留DROP。sql,创造。sql,用户。sql,值。SQL和版本控制，所以我们可以恢复到任何带标签的版本。

我们还有ant任务，可以在需要时重新创建db。

此外，SQL还被标记为与之配套的源代码。

Sadly, I've seen more than one team developing PL/SQL programs (stored procedures in Oracle) - sometimes ten thousands LOC - just by editing the code in TOAD (a database tool), without even saving the source to files (except for deployment). Even if the database is backuped regulary (wouldn't take that for granted, though), the only way to retrieve an old version of a stored procedure is to restore the whole database, which is many GB large. And of course sometimes concurrent changes in one file lead to loss of work, when more than one developer works on the same project.

My team versions our database schema as C# classes with the rest of our code. We have a homegrown C# program (<500 lines of code) that reflects the classes and creates SQL commands to build, drop and update the database. After creating the database we run sqlmetal to generate a linq mapping, which is then compiled in another project that is used to generate test data. The whole things works really well because data access is checked at compile time. We like it because the schema is stored in a .cs file which is easy to track compare in trac/svn.

我使用SQL CREATE脚本从MySQL workbench导出，然后使用他们的“导出SQL ALTER”功能，我最终得到了一系列创建脚本(当然编号)和ALTER脚本，可以应用它们之间的更改。

3.- Export SQL ALTER script Normally you would have to write the ALTER TABLE statements by hand now, reflecting your changes you made to the model. But you can be smart and let Workbench do the hard work for you. Simply select File -> Export -> Forward Engineer SQL ALTER Script… from the main menu. This will prompt you to specify the SQL CREATE file the current model should be compared to. Select the SQL CREATE script from step 1. The tool will then generate the ALTER TABLE script for you and you can execute this script against your database to bring it up to date. You can do this using the MySQL Query Browser or the mysql client.Voila! Your model and database have now been synchronized!

来源:MySQL Workbench Community Edition: Schema同步指南

当然，所有这些脚本都在版本控制下。

我们在源代码控制下有创建/修改脚本。至于数据库本身，当您有数百个表并且每分钟处理大量数据时，对所有数据库进行版本化将是CPU和HDD的杀手。这就是为什么在我看来，备份仍然是控制数据的最佳方式。

我们有一个每周的sql转储到一个颠覆回购。这是完全自动化的，但这是一项非常繁重的任务。

你会想要限制修改的数量，因为它真的会在一段时间后消耗磁盘空间!