Fetching data from the database using the SQL SELECT query.
使用SQLSELECT查询从数据库取回数据。
Fetching and parsing XML data with sax.
使用SAX获取并解析xml数据。
Fetching data - Using a mapping framework.
获取数据—使用映射框架。
Whatever solution you devise, having the data available until it is no longer needed is key to avoiding redundant data fetching.
无论您制定什么样的解决方案，保持数据的可用性直到不再需要是避免冗余数据获取的关键。
XQuery is a language for fetching data similar to SQL, but it has more sophisticated data manipulation constructs.
XQuery是类似于SQL的语言，用于获取数据，但是其数据操作构造更为成熟。
You are fetching data from the database after comparing the lastupdated field for table feeds and the lastpulled field of table subscribedfeeds.
在对提要表的lastupdated字段和subscribedfeeds表的lastpulled字段进行比较后，我们从数据库中获取数据。
Fetching the data sets from the data sources constitutes a reasonable amount of the overall elapsed time of the job when implemented using WebSphere DataStage alone.
当单独使用WebSphereDataStage来实现时，从数据源取数据集所花费的时间在作业的总体执行时间中占较大比例。
Different users may have different data fetching requirements.
不同的用户可能会有不同的数据抓取要求。
QueryReadStore is in charge of fetching data from the server.
QueryReadStore负责从服务器获取数据。
Keep this in mind when deciding which approach is the best to use for fetching data from the database.
在决定从数据库获取数据的最佳方法时，应该记住这一点。
There are four main types of ODBC functions: functions for connection, querying, fetching data, and error reporting.
odbc函数有4种主要类型：用于连接、查询、提取数据和错误报告的函数。
Dojo also provides APIs for making asynchronous XMLHttpRequest calls for fetching data from the server without refreshing the page.
Dojo还提供了用于进行异步XMLHttpRequest调用的API，以在不刷新页面的情况下从服务器获取数据。
Lazy fetching minimizes the amount of data queried from the database.
惰性抓取可以尽可能减少从数据库查询到的数据量。
All modern CPUs must utilize local memory cache to minimize latency of fetching instructions and data from memory.
所有现代的CPU必须使用本地存储的缓存，将获取指令和数据的延迟降到最低。
Lotus Widget Factory comes with a large number of predefined builders ranging from user interface components, such as buttons, to components responsible for fetching data from a remote Web service.
LotusWidgetFactory附带了大量预定义的构建器，从用户界面组件(比如按钮)到负责从远程Web服务获取数据的组件等等。
If you know you always need to load data from an association, you should always use join fetching.
如果你知道自己总是需要从关联中加载数据，那么就该始终使用连接抓取。
This may reduce the roundtrips for fetching the same data over and over again for each incoming request to WebSphere Portal.
这可以减少为每个传入WebSpherePortal请求多次获取相同数据的往返次数。
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。
Another issue with lazy fetching is that the database connection has to be retained until all the required data is fetched else the application will throw a lazy loading exception.
延迟抓取的另一个问题就是在获取到请求的数据前要一直打开数据库连接，否则应用就会抛出一个延迟加载异常。
GET requests are cached, which can improve performance if you're fetching the same data several times.
GET请求被缓冲起来，如果你多次提取相同的数据可提高性能。
Once the application is loaded, fetching smaller fragments of data and content can help avoid the overhead of re-rendering the entire page.
加载应用程序之后，获取较小的数据和内容片段可以帮助避免重新呈现整个页面的开销。
Of course, your Controller function probably won't actually just log a message to the console, it can do anything needed by your app - whether it's fetching data, updating the UI or anything else.
当然你的控制器函数不会只是输出一段调试信息，你可以根据需要做任何事情，获取数据、更新界面或者其他什么的都行。
Note: The above issue resolution is not solvable if we are eagerly fetching the second level cached data in our query.
说明：如果在查询中使用预先抓取来获取二级缓存中的数据时，我们将无法解决上面提出的问题。
Efficient data fetching for ClearQuest record fields that contain large number of references.
包含大量引用的ClearQuest记录区域的有效数据获取。
In addition to fetching data out of cursors, you can load values from a single row query into variables using three different techniques.
除了从游标获得数据之外，可以使用三种不同的技术将来自单行查询的值装载进变量中。
However, fetching this data is an expensive task, and takes a huge amount of time compared to other back-end calls in your application context.
然而，与应用程序上下文中的其他后端调用相比，提取这些数据是一项高开销的任务，需要大量的时间。
This article presents an alternative method that involves fetching both the online and Optim-archived data from their native repositories and combining them using a mashup.
本文将介绍一种替代方法，可以同时获取在线数据和本机存储库中的 Optim归档数据，并使用mashup 将它们组合起来。
Applications like Web catalogs, multi-page sales reports and others make extensive use of paging, fetching a new block of data for each new page displayed.
诸如web目录、多页销售报告之类的应用程序都大量使用分页，为显示的每个新页面抓取一块新的数据。
Applications like Web catalogs, multi-page sales reports and others make extensive use of paging, fetching a new block of data for each new page displayed.
诸如web目录、多页销售报告之类的应用程序都大量使用分页，为显示的每个新页面抓取一块新的数据。
应用推荐