The application used for testing is a seismic data retrieval service.
用于测试的应用程序是一个地震数据检索服务。
Typically, a PHP application's most time-consuming task is data retrieval.
通常，PHP应用程序中最耗费时间的任务是数据检索。
After that, data retrieval, caching and refreshes are handled automatically.
此后，数据获取、缓存和刷新都是自动处理的。
The tables and views folders may be filtered prior to any catalog data retrieval.
在检索目录数据之前，可能要筛选tables和views文件夹。
Procedures and functions folders may be filtered prior to any catalog data retrieval.
在检索目录数据之前，可能要筛选procedures和functions文件夹。
I demonstrated data retrieval using db4o's QBE engine last time, but I'll quickly recap here.
上一次我使用了db4o的QBE引擎演示了数据检索，这里将快速回顾一下。
The approach in Listing 6 is just one of many that attempt to sever data retrieval from data access.
清单6中的方法只是切断数据检索和数据访问的尝试之一。
This article uses the same test application as the earlier article, a seismic data retrieval service.
本文采用和早前文章相同的测试应用程序：一个地震数据检索服务。
The performance comparisons use the same test code as earlier articles, a seismic data retrieval service.
性能比较使用与之前文章相同的测试代码，即地震数据查询服务。
This article also USES the same test application as the earlier articles, a seismic data retrieval service.
本文还将使用与早期文章相同的测试应用程序，即一个地震数据检索服务。
In this design, services that perform business logic and services that perform data retrieval are intermingled.
在这种设计方法中，实现业务逻辑的服务与实现数据检索的服务是混合在一起的。
Schemaless databases are most appropriate for multinode Web apps that need speedy data retrieval and scalability.
无模式数据库最适用于需要高速数据检索和可伸缩性的多节点Web应用程序。
Why not combine these tools with the data Zero component and build a real data retrieval system using Apache Derby?
为什么不结合使用这些工具和DataZero组件，并使用ApacheDerby构建一个真正的数据检索系统呢？
If your application deals with very large XML documents, it can be beneficial to use LOB locators for data retrieval.
如果应用程序要处理非常大的XML文档，那么可以将LOB定位符用于数据检索。
The database manager (DBM) handles data retrieval and update by decomposing SQL requests automatically into sub-requests.
数据库管理器(DBM)通过自动地将SQL请求分解成子请求，来处理数据的检索和更新。
Ajax allows for data retrieval in the background without interfering with the display and behavior of the Web application.
Ajax允许在不干扰Web应用程序的显示和行为的情况下在后台进行数据检索。
In a Struts application, you can architect the Model layer so that the business and data retrieval logic are easy to reuse.
在Struts应用程序中，您可以构建模型层，这样业务逻辑与数据检索逻辑重用就很容易了。
We also needed to determine how to break up our one logical query into individual data retrieval activities for each data source.
我们还需要确定如何将一个逻辑查询拆散成针对每个数据源的单独数据检索活动。
Through this node such data retrieval capabilities can be achieved without the need for expert messaging or SQL programming knowledge.
有了该节点，即使没有专业的消息传递或SQL编程知识，也可以实现这种数据检索功能。
Access plan directives that force the optimizer to use the designated access method for data retrieval, either sequential scan or index scan.
访问计划指示，强制优化器使用指定的访问方法进行数据检索，要么是连续扫描，要么是索引扫描。
To facilitate data retrieval, providers often expose their content through Web-protocols such as REST, Web Services, and RSS/Atom (described below).
为了方便数据的检索，提供者通常会将自己的内容通过 Web 协议对外提供（例如REST、Web服务和RSS/Atom，稍后将加以介绍）。
The above example shows that sequential scan and indexes are used to do the data retrieval, and the nested-loop join method is used to join all tables.
以上示例展示了如何使用连续扫描和索引来进行数据检索，以及如何使用嵌套循环连接方法来连接所有表。
During business analysis and design, you should put different data retrieval or change groups into different domain entities instead of using this fetching.
在业务分析和设计过程中，你应该将不同数据获取或修改分组放到不同的领域对象实体中，而不是使用这种抓取策略。
Correlated subqueries will greatly degrade the speed of data retrieval, especially for non-selective queries on huge tables with millions of rows and with no index.
相关子查询将极大地降低数据检索的速度，对于拥有几百万个行但没有索引的大型表的非选择性查询更是如此。
Fred Brooks: I collected maps as a kid. I had tried all kinds of ways to index my map collection, which got me interested in the notion of automatic data retrieval.
布鲁克斯：我从小就爱收集地图，为了给这些地图做索引，我曾尝试了各种各样的方法，在这种不断的尝试过程中，我对自动数据检索的概念产生了浓厚兴趣。
The calendar views have been redesigned to be more compatible with the Lotus Notes 8 or later client views and to support asynchronous data retrieval. See figure 3.
日历视图已经过重新设计，更符合LotusNotes8或更新版本客户端的视图，此外还支持异步数据检索，如图3所示。
Although these are all important questions, you'll look at a very specific issue-one that has important repercussions on data design, data retrieval, and client code management.
尽管这些问题都非常重要，但是您将探查一个非常具体的问题—这个问题会严重影响数据设计、数据检索和客户机代码管理。
Data normalization is always recommended in theory, but in practice over-normalization (or normalization without appropriate de-normalization) lead to reliance on joins for data retrieval.
从理论上来说，总是建议您保证数据的规范化；但是在实践中，过度的规范化(或者没有恰当反规范化的规范化)会导致对数据检索连接的依赖性。
Traditional database systems allow you to perform data retrieval and update functions using a series of SQL statements that are executed through some form of proprietary client software or API.
传统数据库系统可以使用一系列的sql语句，通过某种形式的专有客户端软件或API来执行数据检索和更新功能。
A new virtual list control works with the new UI framework and also offers all the same capability of the prior virtual list with the addition of using asynchronous data retrieval transactions.
全新的虚拟列表控件与新ui框架配合工作，提供了原虚拟列表的所有相同功能，还增加了异步数据检索事务的使用。
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