Store the query in Listing 7 in a file.
将清单7中的查询保存到文件中。
Step 2 - Run the main query in Query1.sql.
第2步—运行Query 1 . sql的主查询。
Enter a query in the Asset search view.
在资源搜索视图中输入一项查询。
Listing 7. HQL query in a find method call.
清单7.find方法调用中的HQL查询。
Listing 14. HQL query in a find method call.
清单14.find方法调用中的HQL查询。
Listing 3 illustrates this query in practice.
清单3实际演示了此查询。
Aggregate query in a distributed environment.
分布式环境内的聚集查询。
The XUpdate query in Listing 6 makes the change.
清单6中的XUpdate查询作出了更改。
In this case, you just define the query in a string.
在本例中，这个查询在一个字符串中定义。
Enter your search query in the search query box.
在搜索查询框中输入搜索查询。
The wdo file creates the actual query in XML format.
wdo文件以xml格式创建了实际的查询。
The user enters the query in the form of an expression.
用户输入表达式形式的查询。
A table then displays the results of the query in the JSP.
然后某一表将在JSP中显示查询的结果。
You can see the expected result of this query in Figure 10.
在图10中您可以看到该查询的预期结果。
The query in question should reference at least one nickname.
查询应该引用至少一个昵称。
Expand your query in the tree structure in the left pane.
在左边的面板中，展开树结构中的查询。
Listing 7 shows the results of running the query in Listing 6.
清单7显示了运行清单6的查询的结果。
You can use the results from the query in your application logic.
您可以在应用程序逻辑中使用查询结果。
Figure 4 shows the result of the query in its original XML format.
图4显示了原始xml格式的查询结果。
The query in Listing 4 states several relations you'd want to hold.
清单4中的查询规定了您希望拥有的几个关系。
Contrast the query in Listing 7 with the equivalent (correct) JPQL.
将清单7中的查询与等效(正确)的JPQL进行比较。
Note: This step is similar to creating a parameterized query in SQL.
注意：这一步类似于用SQL创建参数化查询。
The query in Listing 2 gets all the records from the Mileage object.
清单2中的查询从Mileage对象中获取所有记录。
Select the rows from the external table using the query in Listing 11.
使用清单11中的查询选择外部表中的行。
Learn to reference tables from the query in the optimization guideline.
从优化准则中的查询引用表。
Capturing the output of the SQL query in a workflow-level variable.
在工作流级变量中捕获SQL查询的输出。
Is actually the query that took the most time. The query in question is?
实际上是花费最多时间的查询。
To perform this query in MongoDB, you would use the command in Listing 20.
要在MongoDB中执行此查询，需要使用清单20中的命令。
Unload the data from the customer base table using the query in Listing 9.
使用清单9中的查询卸载customer基表中的数据。
A query heap is used to store each query in the agent's private memory.
查询堆用于在代理的私有内存中存储每个查询。
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