• 认为也许代表查询但是文档没有说明。

    I think maybe it stands for query, but it's not documented.

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  • 集合查询计划引用所有

    Collect all tables referenced in the query plan.

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  • 更新表达式将会查询副本进行处理

    The updating expression works on this copy further in the query.

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  • 非常直观,动态查询环境扩展能力差。

    It's straightforward, but not very scalable in a dynamic query environment.

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  • 提供了扩展以便查询包括分类标注

    Extensions are provided for you to include classification annotations in a query.

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  • 因此可以业务逻辑嵌入查询

    This makes it possible to embed business logic inside the query.

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  • 对于复杂度较低查询包括查询DB 2的MIML数据小节查询查询性能好。

    For queries of low or medium complexity, including the ones in the query MIML Data in DB2 section, the query performance is good.

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  • 可以它保持内存用于查询然后完成查询丢弃它

    It could be kept in memory for querying and then discarded when finished.

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  • 因此我们这些连接添加了索引下列查询执行计划我们可以看到查询成本减少了很多。

    So we added indexes on those joining columns and from the following query execution plan, we can see the query cost is greatly reduced.

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  • 查询可能不会返回任何结果但是提供保存查询选项,如图16所示。

    The query will likely return no results, but you will be given the option to save the query, as shown in Figure 16.

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  • 清单11通过创建保存查询外部文件使查询参数化。

    In Listing 11, parameterize your query by creating an external file that holds your query.

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  • 动态查询API另一个有用特性就是能够轻松支持根据例子进行查询

    Another useful facility in a dynamic query API is that it can support query-by-example with relative ease.

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  • 一个新的查询测试按钮允许直接编辑测试查询不必首先部署项目

    A new query test button enables you to test your query right from the editor, without having to first deploy the project.

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  • 数据簇对于数据仓库查询性能影响尤其显著因为常常一个查询获取许多

    Data clustering can have an especially large impact on data warehouse query performance, because rows are often retrieved in large Numbers.

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  • 查询生成计划的过程查询优化器关系包装器通信

    During plan generation for the query, the query optimizer communicates with the non-relational wrapper.

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  • 如果查询表达式没有任何步骤,则查询表达式将产生开始节点挂起任何附加的筛选

    If there are no steps in the query expression, the query expression results in the start node, pending any additional filtering.

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  • 过程类似查询查询组织的。

    Like the processes, the queries are organized in query groups.

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  • 如果需要查询结果拥有更多控制或者希望保存查询以便将来使用可以查询编辑器创建查询

    If you need more control over the query results, or if you want to save a query for future use, you can create a query in the query Editor.

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  • 关于性能文章看到如何通过缓存选择查询通过CLASS减少使用查询改进的性能。

    In the performance article, you saw how to improve its performance by caching your selection queries and minimizing your usage of searching by CLASS.

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  • 数据库查询资源映射然后显示门户页面

    It queries the resource mappings from the database, and then displays the portal page.

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  • 如果连接器支持的话,可以两种查询组合一个查询请求

    It's possible to combine both queries into one query request, if your connector supports this behavior.

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  • 清单14首先可以看到原有查询后面一个重新构造的查询

    In Listing 14 you can find first the original query followed be a reformulated one.

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  • 演示如何按照应用程序查询数据相同方式查询数据库XML数据。

    It also demonstrates how querying the XML data in the database is no different from querying the data in the application.

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  • 这里所描述增强目的将允许大大扩展环境异步执行多个远程查询查询计划引入WFS V9.1

    The purpose of the enhancements described here is to introduce query plans into WFS V9.1 that enable asynchronous execution of multiple remote queries in greatly expanded circumstances.

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  • 左边面板展开结构查询

    Expand your query in the tree structure in the left pane.

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  • 当在集合使用查询时,可直接在已有结果执行查询不必重新数据库执行查询然后重新将所有数据取出应用程序

    When you use query over collection, your query can be executed against existing result sets without the need to re-evaluate the query in the database and re-fetch all the data into your application.

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  • 4展示了哪些查询这些建议获益最多

    Figure 4 shows which queries benefited most from the recommendations.

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  • 基准测试程序16个查询基于企业用户那里看到的直应用程序查询请求

    The 16 queries in the benchmark were based on real application query requests I have seen from business users.

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  • 清单2显示了文档查询结果

    Listing 2 shows the query results in a document.

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  • 使用通用查询页面定义通用查询编目清单数据库运行它们

    Use the custom queries page to define custom queries and run them against the inventory database.

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