Since there are four order IDs, the job performs four database queries.
由于有四个订单id，因此作业执行了四次数据库查询。
The database queries in TPC-H are more complex than typical OLTP queries.
TPC- H中的数据库查询要比典型的OLTP查询更加复杂。
The Power test executes a single stream of database queries in sequential order.
能力测试将以连续的次序执行一个数据库查询流。
A single row schema provides fewer database queries overall and pushes more data to the database with each update.
单行模式提供较少的总体数据库查询操作量，能在每次更新时向数据库推送更多的数据。
Sequel provides thread safety, connection pooling and a concise DSL for constructing database queries and table schemas.
Sequel具有线程安全，连接池等特性，同时提供了简洁的DSL用来创建数据库查询以及表方案。
Often CGI programs are used for handling forms input or database queries.
CGI程序通常用于处理表单输入和数据库查询。
Part of the page using the system automatically generate static documents, reducing the number of database queries.
部分页面采用系统自动生成的静态文件，减少了数据库查询次数。
This can imply multiple database queries and even multiple database sessions and templating solutions to build the new page.
这可能意味着为构建新页面需要更多的数据库查询或甚至更多的数据库会话和模板解决方案。
We will explore the difference in the application code, database queries and the relational schemas for the two environments.
我们将研究这两个环境在应用程序代码、数据库查询和关系模式方面的差异。
Once the data is local, by running database queries on the local machine developers are able to drastically improve performance.
一旦数据本地化，由于是在本地机器上运行数据库，开发者就能大幅度的提高查询性能。
Using this technology, you can perform complex database queries without the use of any programmatic constructs or embedded code.
使用这一技术，您就可以在无需使用任何程序性结构或者嵌入式代码的情况下，执行复杂的数据库查询。
These controls produce natural language as output, rather than attempting to accept natural language as input, for database queries.
对于数据库查询，这些控件产生自然语言输出，而不是接受自然语言输入。
The Throughput test executes multiple concurrent streams of database queries, with each stream executing the queries in sequential order.
吞吐量测试将执行多条并发的数据库查询流，而每条查询流同样以连续的次序执行查询。
Often, the information perspective of SOA is limited to implementing a small number of services as database queries exposed as Web services.
通常，SOA的信息透视图只用于实现少量的数据库查询服务，并作为Web服务公开。
If the input will later be used as parameters to operating system commands, scripts, and database queries, then it is essential that you do so.
如果输入以后会被用作操作系统命令、脚本和数据库查询的参数，那么对输入进行清理是非常重要的。
The SQL Call Level Interface (CLI) has provided users with a new connection attribute to tune the optimization goal used with the database queries.
SQLCallLevelInterface (CLI)为用户提供了一个新的连接属性，用于调优数据库查询使用的优化目标。
There are ways to overcome this; for example, you may manually optimize the database queries, clean some code, compress CSS, and implement caching.
这个问题是有办法克服的；例如，可以手工优化数据库查询、清除某些代码、压缩CSS和实现缓存。
The DB2 JDBC tracing mechanism enables you to collect detailed information about the database queries issued from an application to the database server.
借助 DB2JDBC跟踪机制，您可以收集关于应用程序向数据库服务器发起的数据库查询的详细信息。
Specifically, if everything is happening in the UI thread, performing long operations such as network access or database queries will block the whole UI.
如果UI线程需要处理每一件事情，那些耗时很长的操作——诸如访问网络或查询数据库等——将会阻塞整个UI(线程)。
RDQL's syntax superficially resembles that of SQL, and indeed, some of its concepts will be familiar to anyone who has worked with relational database queries.
RDQL的语法表面上类似SQL的语法，它的一些概念对已经使用过关系数据库查询的人来说将比较熟悉。
The first XML document application is an XHTML page with an editable customer field that drives the selection criteria for the XML and relational database queries.
第一个XML文档应用程序是一个xhtml页面，该页面有一个可编辑的customer字段，XML和关系数据库查询的选择标准将依赖于这个字段。
With servlet caching, the marketSummary.jsp can be cached, virtually eliminating these expensive database queries to improve the response time for the user home page.
借助servlet缓存，marketSummary.jsp可以保存在缓存中，这可以从基本上避免这些开销大的数据库查询操作，从而改善用户主页的响应速度。
When database queries that produce large result sets are executed, it's common to break the result set into pages and then require the user to navigate among the pages.
在执行产生大型结果集的数据库查询时，常常对结果进行分页，然后让用户在页面之间导航。
Since everything happens on a single thread performing long operations, like network access or database queries, on this thread will block the whole user interface.
一旦所有的事件都在一个线程中进行耗时的操作，比如说在这个线程上进行网络连接，数据库访问，会阻塞程序的界面响应。
It is a solid, proven technology that allows architects and developers to leverage an existing relational database infrastructure and existing expertise in producing database queries.
它是一种牢固的且已证实的技术，允许架构设计师和开发人员利用现有关系数据库基础结构和现有的专门技术来产生数据库查询。
Specifically, if everything is happening in a single thread, performing long operations such as network access or database queries on the UI thread will block the whole user interface.
特别是，如果把所有的事件都放在主线程中来处理，需要长时间来处理的事件比如网络访问或者数据库查询，会阻塞整个UI。
Suppose you have an application that assembles database queries dynamically based on user requests, and then submits these queries to a DB2 database using WebSphere application Server.
试想您有一个根据用户请求，动态组装数据库请求的应用程序，然后使用WebSphere Application Server将这些请求提交给一个DB 2数据库。
This tutorial series teaches basic to advanced SQL and basic XQuery topics and shows how to express commonly asked business questions as database queries by using SQL queries or XQueries.
本系列教程为您讲解SQL的一些基础和高级话题以及XQuery的基础知识，并展示如何使用SQL查询或XQuery语句将常被问起的业务问题表达为数据库查询。
Partitioning across multiple databases wouldn’t be a big deal if it were not for the fact that cross-database queries are not supported, forcing any unions or joins to be done in memory.
由于跨数据库查询不被支持，所以跨多个数据库的分区是个棘手的问题，任何union或join操作都需要在内存中完成。
You can work with several queries at once, edit queries and view the execution results in several modes and perform any other operations you may need in your work with database queries.
用户可一次处理数个查询，通过几种模式编辑查询，观察运算结果，以及执行任何其它需要的操作。能查看查询计划。
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