• This query would be much more difficult to represent in a relational query language.

    而在关系查询语言中,该查询表示起来将会困难得多。

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  • Like a stored table, the result of a relational query is flat, regular, and homogeneous.

    与所存储的表一样,该关系查询的结果也是平面的、规则的、同构的。

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  • With IBM Mashup Center, you can create a feed from data that is returned from a relational query.

    可以通过IBMMashupCenter创建一个来自数据的数据源,该数据是从关系型查询返回的。

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  • If the XML data is shredded to relational tables, relational query results must be converted back to XML.

    如果XML数据被分解到关系表,那么关系查询结果必须被转换回xML。

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  • Relational query multi table ACCESS database routines, a good reference, there is a need to download it.

    说明:ACCESS数据库多表关联查询例程,很好的参考资料,有需要的就下载吧。

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  • Relational style queries against IBM DB2, Oracle, Teradata type data sources will go to the relational query planner.

    针对IBMDB 2、Oracle、teradata类数据源的关系型查询会转到关系型查询规划器。

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  • RQP (relational Query Planner) - internal component that prepares and executes relational queries (SQL) against databases.

    RQP (Relational QueryPlanner)-对数据库(SQL)准备和执行关系型查询的内部组件。

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  • In Viper 2, this limitation has been removed and now you are able to pass a runtime variable to a relational query embedded inside the XQuery.

    在Viper2中,这个限制已经消除了,现在可以向XQuery中嵌入的关系查询传递运行时变量。

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  • 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。

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  • Before you get started, a few notes: First, to follow along with this article, you should have a basic knowledge of relational databases, JDBC, and Structured Query Language (SQL).

    开始之前,有几点注意事项:第一,要读懂本文,您应当掌握关系型数据库、JDBC和结构化查询语言(SQL)的基础知识。

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  • Additionally, a combination of XML indices and relational indexes can further improve query performance.

    此外,xml索引和关系型索引的组合使用还可以进一步提高查询性能。

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  • This provides a way to easily access the most commonly used data in a purely relational way, but it gives the ability to query and work with the remaining XML structured data as well.

    这样提供了一种以纯粹的关系型方式方便地访问最常用数据的方法,而且还可以查询并使用其余具有XML结构的数据。

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  • Just like SQL is a query language designed for the relational data model, XQuery is a language designed specifically to query XML data.

    正如SQL是为关系型数据模型设计的查询语言一样,XQuery是专为查询XML数据设计的语言。

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  • In addition to being able to use XQuery to search relational data and SQL to search XML data, users can issue a single query to search both relational data and XML data at the same time.

    除了使用XQuery搜索XML数据和使用SQL搜索关系数据外,用户还可以在同一个查询中同时搜索关系数据和XML数据。

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  • You give the Relational DAS a SQL query to execute, and it will issue the query and break the result set into a graph of SDOs.

    给RelationalDAS一个SQL查询供其执行,它将处理查询并将结果集置入sdo图。

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  • If you have decided to shred, pick a relational target schema that best fits the query and reporting requirements.

    如果已经选择了分解,那么接着选择一种最适合查询和报告需求的目标关系模式。

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  • In addition, our sample query qualifies the rows of interest by specifying relational and XML predicates in the WHERE clause.

    此外,我们的样例查询通过在where子句中指定关系谓词和xml谓词,限定了所关注的行。

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  • Exposing the relational columns helps to query this view efficiently.

    暴露关系列有助于有效地查询这个视图。

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  • Conceptually, rows of relational data (tuples) flow through the operation nodes in the query plan from bottom to top.

    从概念上来说,关系数据行(元组)按照自下向上的方式流过查询计划中的操作节点。

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  • In a relational language, such a query would require a join that might span several data tables and system catalog tables.

    而在关系语言中,这种查询需要进行也许跨越了多个数据表和系统目录表的联接。

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  • It is not nearly time to throw away your (SQL) relational databases that are tuned to quickly and reliably query complex data.

    现在还不是抛弃(SQL)关系数据库(为迅速而可靠地查询复杂数据进行了调整)的时候。

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  • During plan generation for the query, the query optimizer communicates with the non-relational wrapper.

    在为查询生成计划的过程中,查询优化器与非关系包装器通信。

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  • The first XML document application steps you through the visual query generator tool to perform both XML and relational queries that drive all three applications.

    第一个XML文档应用程序演示使用可视化查询生成器工具执行XML查询和关系查询,这是所有这三个应用程序都要用到的。

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  • This optimization feature enables applications to efficiently query XML data through a traditional relational interface with SQL queries.

    这种优化特性让应用程序能够使用SQL查询通过传统的关系接口高效地查询XML数据。

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  • Query optimization technology in DB2 9.7 provides increased efficiency for processing queries against relational views of XML data.

    DB 2 9.7中的查询优化技术能够提高针对XML数据的关系视图的查询处理效率。

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  • Another benefit of the move to DB2 9 is the hybrid storage engine and a query optimizer that "understands" XML (mapping to relational algebra for queries involving XML).

    迁移到DB 29的另一个好处是,混合型存储引擎和查询优化器“理解”XML,可以把涉及XML的查询映射为关系语法。

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  • In the relational version, we must execute one query to get a list of products in each purchase order.

    在关系版本中,必须执行一个查询来获取每个采购订单中产品的列表。

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  • To query stored XML and relational data together in a straightforward way

    以简单的方式同时查询存储的XML和关系数据

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  • Manipulations like this (backed by the proper relational theory) are at the heart of database query optimizers. The resulting tree is shown in Figure 2.

    此类操作(由恰当的关系理论作为支持)是数据库查询优化器的核心所在。

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