关于数据库模型本身有很多讨论，但是我们也将所需的数据保存在. sql文件中。

例如，为了让你的应用程序更有用，你可能需要在安装时这样做:

INSERT INTO Currency (CurrencyCode, CurrencyName) 
VALUES ('AUD', 'Australian Dollars');

INSERT INTO Currency (CurrencyCode, CurrencyName) 
VALUES ('USD', 'US Dollars');

我们会有一个名为currency的文件。subversion下的SQL。作为构建过程中的一个手动步骤，我们将比较以前的货币。SQL到最新版本，并编写升级脚本。

是的，我认为版本化你的数据库是很重要的。当然不是数据，而是模式。

在Ruby On Rails中，这是由框架通过“迁移”来处理的。任何时候修改db，都需要编写一个脚本来应用更改并将其检入源代码控制。

我的团队非常喜欢这个想法，所以我们使用shell脚本和Ant将该功能添加到基于java的构建中。我们将该过程集成到部署例程中。在其他不支持DB版本开箱即用的框架中编写脚本来完成同样的事情是相当容易的。

Your project team can have a DBA to whom every developer would forward their create alter, delete, insert/update (for master data) sql statements. DBAs would run those queries and on successfully making the required update would add those statements to a text file or a spreadsheet. Each addition can be labeled as a savepoint. Incase you revert back to a particular savepoint, just do a drop all and run the queries uptil the labelled savepoint. This approach is just a thought... a bit of fine tuning here would work for your development environment.

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。

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。

The most successful scheme I've ever used on a project has combined backups and differential SQL files. Basically we would take a backup of our db after every release and do an SQL dump so that we could create a blank schema from scratch if we needed to as well. Then anytime you needed to make a change to the DB you would add an alter scrip to the sql directory under version control. We would always prefix a sequence number or date to the file name so the first change would be something like 01_add_created_on_column.sql, and the next script would be 02_added_customers_index. Our CI machine would check for these and run them sequentially on a fresh copy of the db that had been restored from the backup.

我们还准备了一些脚本，开发人员可以用一个命令将本地db重新初始化到当前版本。