每个推荐RedGate工具的人都要加1分，还有额外的建议和警告。

SqlCompare also has a decently documented API: so you can, for instance, write a console app which syncs your source controlled scripts folder with a CI integration testing database on checkin, so that when someone checks in a change to the schema from their scripts folder it's automatically deployed along with the matching application code change. This helps close the gap with developers who are forgetful about propagating changes in their local db up to a shared development DB (about half of us, I think :) ).

A caveat is that with a scripted solution or otherwise, the RedGate tools are sufficiently smooth that it's easy to forget about SQL realities underlying the abstraction. If you rename all the columns in a table, SqlCompare has no way to map the old columns to the new columns and will drop all the data in the table. It will generate warnings but I've seen people click past that. There's a general point here worth making, I think, that you can only automate DB versioning and upgrade so far - the abstractions are very leaky.

每个推荐RedGate工具的人都要加1分，还有额外的建议和警告。

SqlCompare also has a decently documented API: so you can, for instance, write a console app which syncs your source controlled scripts folder with a CI integration testing database on checkin, so that when someone checks in a change to the schema from their scripts folder it's automatically deployed along with the matching application code change. This helps close the gap with developers who are forgetful about propagating changes in their local db up to a shared development DB (about half of us, I think :) ).

A caveat is that with a scripted solution or otherwise, the RedGate tools are sufficiently smooth that it's easy to forget about SQL realities underlying the abstraction. If you rename all the columns in a table, SqlCompare has no way to map the old columns to the new columns and will drop all the data in the table. It will generate warnings but I've seen people click past that. There's a general point here worth making, I think, that you can only automate DB versioning and upgrade so far - the abstractions are very leaky.

我们使用DBGhost来管理SQL数据库。然后，您将脚本放在版本控制中构建一个新数据库，它将构建一个新数据库，或者将任何现有数据库升级到版本控制中的模式。这样，您就不必担心创建更改脚本(尽管您仍然可以这样做，例如，如果您想更改列的数据类型并需要转换数据)。

根据我的经验，解决方法有两个:

您需要处理开发数据库的更改，这些更改是由多个开发人员在开发期间完成的。 需要处理客户站点的数据库升级。

为了处理#1，你需要一个强大的数据库差异/合并工具。最好的工具应该能够尽可能地执行自动合并，同时允许您手动解决未处理的冲突。

完美的工具应该通过使用3-way合并算法来处理合并操作，该算法考虑到相对于BASE数据库在their数据库和MINE数据库中所做的更改。

我写了一个商业工具，为SQLite数据库提供手动合并支持，我目前正在为SQLite添加3路合并算法的支持。请登录http://www.sqlitecompare.com查看

为了处理第2点，你需要一个升级框架。

基本思想是开发一个自动升级框架，该框架知道如何从现有的SQL模式升级到更新的SQL模式，并且可以为每个现有的DB安装构建一个升级路径。

在http://www.codeproject.com/KB/database/sqlite_upgrade.aspx上查看我关于这个主题的文章，了解我所说的内容。

祝你好运

利龙·列维

Red Gate的SQL Compare产品不仅允许您进行对象级比较，并从中生成更改脚本，还允许您将数据库对象导出到按对象类型组织的文件夹层次结构中，其中一个[objectname]。这些目录中每个对象的SQL创建脚本。对象类型层次结构是这样的:

\功能 \安全 \安全\角色 \ \安全模式 \安全\用户 \存储过程 \表

如果在进行更改后将脚本转储到相同的根目录，则可以使用此目录更新SVN repo，并单独保存每个对象的运行历史记录。

因为我们的应用程序必须跨多个rdbms工作，所以我们使用与数据库无关的Torque格式(XML)将模式定义存储在版本控制中。我们还以以下XML格式对数据库的引用数据进行版本控制(其中“关系”是其中一个引用表):

  <Relationship RelationshipID="1" InternalName="Manager"/>
  <Relationship RelationshipID="2" InternalName="Delegate"/>
  etc.

然后，我们使用自己开发的工具来生成从数据库版本X到版本X + 1所需的模式升级和引用数据升级脚本。