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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
Consider an example where a DBA knows the problem is a poor-performing query, but that query was generated by a framework, using an object-relational mapping technology.
考虑这样一个示例：DBA知道问题根源是查询的性能较差，但此查询是由框架生成的，使用了对象关系映射技术。
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。
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。
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。
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。
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
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。
With pureXML, you can efficiently store, control, query, and update XML data alongside relational data stored in the same table or database.
使用pureXML，您可以有效地存储、控制、查询、更新XML数据以及存储在同一个表格和数据库中的关系数据。
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