• Taxonomy of XML Schema changes.

    XML模式变化的分类。

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  • What types of schema changes are allowed!

    允许什么类型的模式变化?

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  • Managing database schema changes can be tedious.

    管理数据库模式的更改是件乏味的事情。

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  • You'd also capture any change to undo any schema changes.

    还要捕获任何变化,从而能够取消模式变化。

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  • Migrations can handle many different kinds of schema changes.

    迁移可以处理许多不同类型的模式变化。

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  • In Rails applications, schema changes occur through migrations.

    在Rails应用程序中,模式的更改是通过迁移发生的。

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  • If the schema changes, you can just regenerate the dsClients class.

    如果该模式发生更改,则可以重新生成dsclients类。

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  • Caveat 1: if the database schema changes, the statement will need to be re-prepared.

    注意1:如果数据库模式变化,声明需要必须重新准备语句。

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  • Coordinating both data and schema changes is another paradigm shift, and an effective one.

    协调数据和模式变化是另一个理念的变化,而且是个有效的变化。

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  • A similar approach can be taken for columns being renamed and other database schema changes.

    可以对正被更名的列和其他数据库架构更改采用类似的方法。

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  • In this section, we'll introduce different types of schema changes with respect to validation.

    这一节介绍和验证有关的不同的模式变动类型。

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  • If you intend to use the sample programs, modify these definitions to match your schema changes.

    如果打算使用示例程序,那么需要修改这些定义,以匹配您的模式修改。

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  • To process the XML messages without re-structuring and re-mapping in the face of XML schema changes.

    在XML模式发生更改时,无需重新构建和重新映射即可处理XML消息。

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  • Again, this group can have no members on a daily basis, as schema changes are rare and typically very controlled.

    同样,鉴于计划很少需要变更并且很受限制,日常情况下该组可以没有任何成员。

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  • You need to also make sure that the control files are backed up once there are schema changes to the database.

    同时,还需要确保只要对数据库的模式进行了更改,就要对控制文件进行备份。

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  • In "taxonomy of XML schema changes," we present the taxonomy of changes that may happen during XML schema evolution.

    “XML模式变化分类”一节提出了模式演化过程中可能出现的变化类型。

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  • Migrations combine power and simplicity to coordinate both schema changes and data changes using a wrapping approach.

    迁移用包装的方式组合了协调模式变化和数据变化的威力和简单性。

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  • In short, traditional mapping strategies ignore the cars in the road: reversing bad schema changes and handling data.

    简而言之,传统的映射策略忽略公路上的汽车:回退坏的模式变化并处理数据。

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  • If you do not update the data generation plan based on the schema changes, you cannot continue to modify the plan.

    如果未根据架构更改来更新数据生成计划,则不能继续修改该计划。

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  • This approach allows customization of an existing schema and Web service via code changes rather than schema changes.

    该方法允许通过更改代码而不是更改模式来对现有模式和Web服务进行自定义。

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  • Development teams usually handle schema changes by generating a new version of a schema from scratch, with SQL scripts.

    开发团队处理模式变化时,通常会用sql脚本从头开始生成一个新版模式。

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  • Click on the add button to add the schema CHANGES to the list of objects to compare and migrate, and then click on Next.

    单击add按钮,将模式CHANGES添加到对象清单进行比较和移植,然后单击Next。

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  • To support online schema changes (SQL alter operations) to a table that is undergoing replication, use master replicates.

    为了支持对一个正在被复制的表的在线模式更改(SQLalter操作),可以使用主复制。

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  • Now that all necessary schema changes were implemented through migrations, we can upload the XML data into the XML_CONTENTS table.

    既然已经通过迁移实现了所有必需的模式修改,就可以将XML数据上载到xml_contents表中。

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  • You have a strategy for dealing with changes in your schema, and you can back out either of the two major schema changes you've made so far.

    有了处理模式中的变化的策略,也可以收回目前为止两个主要模式变化中的任何一个。

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  • After modifying the schema, we need upgrade each user databases associated with the schema by applying the schema changes. The steps are.

    在编辑方案之后,我们需要应用方案变更,来更新每一个与方案相关的用户数据库。

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  • When a physical information source schema changes, the algorithms adjust mappings automatically and affect the fewest number of mappings.

    当物理信息资源模式变更时,映射调整算法自动调整映射并且调整的映射数是最少的。

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  • By utilizing Rails migration and defining your database schema changes in Ruby files, versioning of changes takes place in a logical manner.

    通过利用Rails迁移和在Ruby文件中定义数据库模式更改,可以以逻辑的方式对更改进行版本控制。

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  • But very few teams bother to create scripts that undo schema changes, and fewer still manage to create automated scripts to deal with changes in data.

    但是很少有团队会费力气创建能取消模式变化的脚本,而且成功地创建了处理数据变化的自动脚本的团队更少。

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  • This is not a big deal because when you use an untyped DataSet you would still likely have to change some client code if the underlying schema changes.

    这并不要紧,因为使用非类型化数据集时,如果基础架构发生改变,您仍然可能必须更改一些客户端代码。

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