The job performs a database query for each order ID.
作业对各订单id执行一次数据库查询。
Our final example generates XML from a database query.
我们的最后一个示例是根据数据库查询生成XML。
A grid is often used to display the results of a database query.
一个网格通常用于显示数据库查询的结果。
Tracking back from database query to the application can be difficult.
从数据库往回追踪应用程序会非常难。
Before you can test the orchestration, you have to adjust the database query.
在您测试编排之前，需要修改数据库查询语句。
Both these functions are essential to complete the full cycle of a database query.
这两个函数对于完成数据库查询的整个处理过程是非常重要的。
Example XSLT stylesheet which transforms XML file into a database query (transformer.xsl).
将XML文件转换为数据库查询的示例XSLT样式表(transformer . xsl)。
As you learned in the previous section, executing a database query involves three main concepts.
如上一部分所述，执行数据库查询包括三个主要概念。
Developers and database administrators can use this tutorial to enhance their database query skills.
开发人员和数据库管理员可以使用本教程来提高他们的数据库查询技能。
However, in the real world you need to formulate it in a syntax that is understood by the database query engine.
但是在真实环境中，需要用数据库查询引擎能够理解的一种语法编写查询。
If database query and Web service invocation could occur in parallel, the asynchronous case would behave better.
如果数据库查询和Web服务调用并行进行，异步用例表现更加良好。
Once the desired word has been found, the logic involves a database query, which joins the word and synonym tables.
找到所需要的单词后，逻辑就进行一个数据库查询，该查询会连接word和synonym表。
XMLReader is a pull parser and you code for it in much the same way as for a database query result table in a cursor.
XMLReader是一种pull解析器，其编码方法和数据库查询结果表的游标中非常类似。
PureQuery USES a set of bean conventions and requirements to map database query results directly to the user-defined bean class.
pureQuery使用一组bean约定和需求将数据库查询结果直接映射到用户定义的bean类。
But before you can perform a database query, you must create a database that contains several tables populated with relevant data.
在可以执行数据库查询之前，必需创建一个数据库，其中包含用相关数据填充的多个表。
The last part of the output above gives you the detailed time statistics of the operation, which in this case is the database query.
上面输出的最后一部分给出了详细的操作时间统计数据，该操作在本例中就是数据库查询。
However, you will now need to explicitly loop over the database query result object to create the table rows and add the Edit option.
不过，现在需要显式地对数据库查询结果对象进行循环以便创建这些表的行并添加Edit选项。
Once a reply to a database query has been returned, then the reply, the intermediate state, and the query itself are no longer needed.
一旦返回数据库查询的响应之后，就不再需要回复、中间状态和查询本身。
For sparse lookup, a database query is generated based on each input record and the query is sent to the target database to get the result.
对于稀疏查找来说，它将根据每条输入记录来生成数据库查询，并且查询将被发送给目标数据库以获取结果。
Looking at the above application code, we note that the PHP code is reduced to two lines, while the database query contains most of the logic.
查看上面的应用程序代码，我们注意到PHP代码减少为两行，而数据库查询包含大部分逻辑。
Given those, I can write a simple database query that retrieves the part of speech and compares the question with the answer, as shown in Listing 5.
有了这些，就可以编写一个简单的数据库查询，以获取词性并比较问题和答案，如清单5所示。
If a database query takes hours to complete, for example, it makes little difference whether the resulting dataset takes one or two minutes to process.
例如，如果完成一个数据库查询要花费几个小时，那么处理结果数据集要花费一分钟还是两分钟就没什么差别了。
Listing 3 shows an excerpt from a servlet that defines the database query that will be executed by an appropriate XML Feature Pack collection resolver.
清单3展示了一个servlet的摘录，此servlet定义将由适当XMLFeaturePack集合解析器执行的数据库查询。
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。
This article provided examples of all of these tasks, together with two example applications: spreadsheet importers for RSS feeds and database query results.
本文给出了所有此类任务的例子，以及两个示例应用程序：面向RSS提要和数据库查询结果的电子表格导入器。
If you have a long-running database query for example that's triggered by a button press, you can simply increase the time paused after the button event has been issued.
如果你有一个运行时间很长的数据库查询(比如由按钮点击所触发)，那么在按钮事件产生后你可以增加延迟时间。
However, if you were to use something like the NotSupported transaction attribute instead, it would cause the database query to read from the table, not the transaction log.
但是，如果您使用的是NotSupported事务属性，那么它会造成数据库查询从表中而不是从事务日志中读取数据。
If you need to wait on a blocking action — say, the results from a remote database query — it is not clear exactly how long you will need to wait for results to be available.
如果您需要等待一个阻塞操作—比如，对于来自远程数据库查询的结果—您不会确切地知道在可以使用结果之前究竟要等待多长时间。
Those familiar with System I and database query performance analysis and tuning, understand that controlling the optimization goal is a critical step to optimizing performance.
那些熟悉systemi和数据库查询性能分析和调优的人就会理解控制优化目标是优化性能的关键步骤。
应用推荐