relational data
关系型数据
2026-03-22 06:03 浏览次数 16
关系型数据
db2 is now a hybrid database in that it has the ability to store relational data and xml data in a single database, even in a single table.
现在的db2是一个混合型的数据库,因为它能够在一个数据库,甚至是一个表中储存关系数据和xml数据。
unlike xml-only databases, db2 v9 also provides seamless integration of relational data and xml data within a single database, even within a single row of a table.
与仅使用 xml 的数据库不同,db2v9还提供了关系型数据与xml数据在数据库中的无缝集成 ——甚至是表的某一行中的集成。
if you use a single page size for relational and xml data, or for data and indexes, a 32kb page size may be beneficial for xml data but somewhat detrimental for relational data and index access.
如果为关系数据和xml数据,或者为数据和索引使用单一的页宽,那么32kb 的页宽对于xml数据而言可能有利,但是不利于关系数据和索引的访问。
larger xml documents that reside in a data area separate from relational data can also be compressed.
更大的xml文档存储在与关系数据分离的数据区域中,它们也可以压缩。
relational data must to be mapped to xml if it is not stored as such.
如果关系数据没有存储为xml 格式,就必须把它们映射到xml。
you can query xml data and relational data in a combined manner.
您可以通过组合方式查询xml数据与关系型数据。
the open source d2rq interface lets you treat relational data as a collection of triples so that this data can be incorporated into such an application.
开源的d2rq接口让您可以将关系数据当作一个三元组集合对待,因而该数据可以合并到这样的应用程序中。
in most cases, parsing xml documents to relational data can be done in a streaming fashion without requiring much memory and regardless of how big the document is.
在大多数情况下,xml文档到关系型数据的解析可通过串流方式完成,而无需太多内存且不管文档有多大。
relational data is 「flat」 -- that is, organized in the form of a two-dimensional array of rows and columns.
关系数据是「平面的」,即它是以具有行与列的二维数组的形式组织的。
the input and output steps of the assembly have a distinguished role: they transform relational data into hierarchical data and hierarchical data back to relational data, respectively.
程序集的输入和输出步骤有一个突出的作用:它们将关系型数据转换成分层数据,再将分层数据转换到关系型数据。
the fap service then transforms this relational data into a tm1 cube.
然后fap服务将该关系型数据转换成一个tm1多维数据集。
if these capabilities are important to your application, then sdo is probably an appropriate choice, using the relational das implemented to pdo for relational data source support.
如果这些功能对您的应用程序较为重要,那么sdo也许是您较合适的选择,使用对pdo实施的关系型das提供关系型数据源支持。
finally, how to marry the relational data with the xml data to get best of both the worlds.
最后,如何结合关系数据和xml数据,从而同时获得这两个环境的优势。
you will find that db2 9 offers new buffer pool snapshot monitor elements for xml data that match the existing counters for relational data and indexes.
您将发现,与用于关系数据和索引的已有的计数器相对应,db29为xml数据提供了新的缓沖池快照监视器元素。
relational data is regular and homogeneous.
关系数据是规则且同构的。
each row of the table contains both traditional relational data and the newer xml-based data.
表中的每一行既包含传统的关系型数据,也包含比较新的基于xml 的数据。
if you have done a performance analysis and find that you need a large page size for xml data but a small page size for relational data or indexes, you can use separate table spaces to achieve this.
如果您做了性能分析,发现对于xml数据需要大的页宽,而对于关系数据或索引则需要小的页宽,那么可以使用不同的表空间来实现这一点。
during this process, operational data is retrieved from a product source as an xml resource, mapped to relational data tables, and normalized in the data warehouse.
在这个过程期间,操作性数据是从一个产品源中获取以作为一个xml资源,映射到关系数据表中,并在数据仓库中得到标準化。
this metadata api not only defines the shape of the data in the relational data store, but also defines the queries associated with that data and establishes relationships between different objects.
这种元数据api不仅定义关系数据存储中数据的形式,而且定义与该数据相关联的查询,并建立了不同对象之间的关系。
anyone with a relational data background knows that their primary keys really shouldn「t change, as it」s expensive to propagate that change to foreign keys.
任何有关系型数据库背景的人都知道主键实际上不会改变,因为要把其更改传播到外键是很昂贵的工作。