You GET this query from the following url.
您从下面这个URL获得(GET)该查询。
We'll use the dataset and query from Listing 1.
我们将使用来自清单1的数据集和查询。
You can use the query from multiple locations.
您可以从多个位置使用查询。
Then issue the following query from a DB2 command line.
然后在DB 2命令行中输入下面的查询。
You can also edit the query from this text field directly.
您也可以直接在此文本区域编辑该查询。
When I rerun the query from Listing 6, guess what's there?
当我从清单6返回查询时，猜猜是什么？
Handle the simple and normal daily query from old customers.
处理老客户的简单的，常规的日常问询。
Click Yes when prompted to add another query from the data source.
当提示从数据源添加另一个查询时，单击Yes。
But recently, these popular viewpoints are suffering query from academia.
但近年来，这种普遍流行的观点却在学界受到质疑。
Demonstrates a simple query from an existing SQL database using the console.
演示使用控制台从现有SQL数据库发出的简单查询。
Find the package and section information for the main query from the catalog tables.
从目录表中查找主查询的包和片段信息。
RDFQuery takes an RDQL query from a text file and runs it against a specified model.
RDFQuery从文本文件中获取RDQL查询，然后对指定的模型运行该查询。
In case it does not find any it will try to parse the method name and create a query from it.
如果没有找到任何可以解析的方法名，那就会创建一个查询方法。
Extracts the three parameters for the named query from specific locations in the SOAP Header.
从SOAPHeader中的特定位置提取已命名查询的3个参数。
With asynchrony disabled, a likely execution plan for the query from the motivation section is.
当禁用异步时，异步的动机小节中的查询的执行计划很可能是这样的。
Check the Attach an existing query option, and click the Select query From Repository symbol.
选中attach anexistingquery选项，并单击Select query From Repository符号。
QueryFactory has various create() methods to read a textual query from a file or from a String.
QueryFactory有各种create()方法，用来从文件或者String读取文本查询。
Select a query from the drop-down list of available queries for the selected data source table.
从可用查询的下拉式清单，为选取的资料来源资料表选取查询。
For this purpose, db2 provides another input function, db2-fn: sqlquery, to invoke an SQL query from within XQuery.
为此，db 2提供了另外一个输入函数db 2 - fn：sqlquery，以便在XQuery中调用sql查询。
You have learned how to analyze and tune the problem query from the perspective of statistics, predicates, and indexes.
您已经了解如何从统计数据、谓词和索引这几方面来分析和调优问题查询。
We first issue the main query from one session (SESSION1 in this example) that we would like to see the runtime section explain for.
我们首先在第一个会话中(本例中是SESSION1)发出主查询，这样我们就能够得到运行时片段解释的目标。
Normally when you perform a query from a script, it will wait for the execution of that query to finish before it can continue.
正常情况下，当你的脚本执行一个查询时，它需要等到查询全部执行完才能继续下去。
The application of the NON EMPTY clause, alters the query from returning all members, to just returning those that have measure values.
NONempty子句的应用将查询从返回所有成员修改为仅返回具有度量值的那些成员。
The first JSP, Welcome.jsp, occupies both the presentation layer and the data layer by using the JSTL SQL library to issue an SQL query from the page.
第一个JSP，即Welcome.jsp，使用JSTLSQL库从该页面发出一个 SQL查询，因而同时占据了表示层和数据层。
The algorithm combines the global analysis with the local analysis to extract the context information of the user's marked query from single document.
该算法将全局分析和局部分析结合起来从单文档中抽取用户选定查询的上下文信息。
Given a name fragment or name template, AdminControl can query from the WebSphere Application Server and list all complete names that satisfy the query conditions.
给定名称片段或名称模板后，AdminControl可以从WebSphereApplicationServer中查询并列出符合查询条件的所有完整名称。
If you run the final query from Listing 6, as it is shown above, you should see in the access plan that DB2 decides to use the extended index by the EISCAN operator.
如果运行清单6中最后的查询(如上面所示)，这么在访问计划中应该可以看到，DB 2决定通过EISCAN操作符使用扩展的索引。
The typed DataSet designer accommodates by allowing you to add your own queries from the appropriate table's context menu by selecting add | Query from the table's context menu.
类型化数据集设计器允许你添加自己的查询语句，通过在适当表格的上下文菜单中选择“添加”|“查询”来实现。
At a large retailer, adding a missing index to a small, 2,000-row table in an 8 TB warehouse reduced the elapsed time of a critical decision support query from three hours to two minutes.
在一家大型零售商的8TB数据仓库中，在一个2,000行的小表上添加一个索引之后，一个决策支持查询花费的时间从三小时一下降到了两分钟。
At a large retailer, adding a missing index to a small, 2,000-row table in an 8 TB warehouse reduced the elapsed time of a critical decision support query from three hours to two minutes.
在一家大型零售商的8TB数据仓库中，在一个2,000行的小表上添加一个索引之后，一个决策支持查询花费的时间从三小时一下降到了两分钟。
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