• Aggregate query in a distributed environment.

    分布式环境内的聚集查询。

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  • Currently, Slice can evaluate an aggregate query correctly that is not commutative to partition.

    目前,Slice可以正确地估计一个聚集查询,不是分区可互换的。

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  • You can use custom expressions in place of aggregate functions anywhere in an aggregate query.

    您可以使用自订运算式取代汇总查询中任何位置的汇总函式。

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  • The following principles describe how you can reference columns in an aggregate query in search conditions.

    下列原则描述如何在聚合查询的搜索条件中引用列。

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  • Thus, most of the principles that follow describe the ways that you can reference individual data columns within an aggregate query.

    因此,其他的原则即说明在汇总查询中参考个别资料行的方法。

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  • If you want to create subtotals or show other summary information for subsets of a table, you create groups using an aggregate query.

    如果要创建小计或显示表的子集的其他汇总信息,可使用聚合查询创建组。

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  • To reduce the expensive access to archive data, the characteristics of aggregate data query were analyzed, and the aggregate query language and its rewriting method were proposed.

    为了减少在计算和存档数据流的过程中对昂贵的存档数据的存取,分析了聚集数据查询的特点,并引入了聚集查询语言和聚集查询重写方法。

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  • In this paper, We propose a kind of novel aggregate query algorithms based on hardware-software codesign, which incorporate hardware advantage in processing rate and software long suit in agility.

    提出了一种基于硬件加速的高速数据流聚集查询方法,充分发挥硬件在处理速度上的优势和软件在灵活性方面的长处。

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  • This paper researches into the characteristic of aggregate query rewriting and gives a kind of rapidly approximate query computing model based on aggregate query rewriting under the data warehouse.

    研究了聚集查询重写的特征,根据数据仓库环境下聚集查询需要快速计算结果的特点,给出了一个基于聚集查询重写的快速近似计算模型。

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  • Start by generating the query using the first aggregation function (SUM in the example) in the measure's list of aggregations to aggregate the template expression.

    先使用度量的聚合列表中的第一个聚合函数(在这个示例中是SUM)对表达式模板进行聚合,产生一个查询。

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  • Ability to join, union, aggregate, and otherwise correlate data from multiple sources in a single query.

    在一个查询中连接、联合、聚集来自多个数据源的数据并使它们相关的能力。

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  • An MQT can be used to enhance query performance through the pre-computation of aggregate values. For example.

    MQT可用于通过预先计算聚合值来增强查询性能。

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  • Consider an example query that finds the aggregate sales of all the beauty products sold in the US that are also sold in Europe.

    考虑如下示例查询,该查询用于发现所有同时在美国和欧洲销售的美容产品的总销售量。

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  • The query to compute aggregate sales by city can be written as

    按城市计算总销售的查询可以写成

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  • We discovered that there is a point where aggregate index costs—more-expensive INSERT and DELETE operations, for example—outweigh a new index's query speed-up benefit.

    我发现有一个聚合索引成本的点 —例如,更为昂贵的INSERT和DELETE操作 —超出一个新索引的查询加速所能带来的效益。

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  • Once the MQT is created and populated, when a user submits a query to find aggregate sales or its variant information, it may be satisfied by using the aggregate_sales MQT.

    一旦MQT 已经创建并填充好,当用户提交一个查询以找到总销售数据或变体信息时,就会通过使用 aggregate_sales MQT 来满足该查询。

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  • Provides examples of how to include aggregate functions to determine the minimum and maximum values of data returned from a query by using LINQ.

    提供有关如何使用LINQ包含聚合函数来确定从查询返回的数据的最小值和最大值的示例。

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  • This paper deals with two ways to manage aggregate queries: materialized view and approximate query, concludes the processing methods of each way and presents future research directions.

    讨论了目前聚集查询处理的两种方法,即实化视图和近似查询,总结了国内外对其研究现状,并对未来的研究方向提出看法。

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  • This paper presents a method of query of tables by using aggregate function in SQL.

    介绍了在SQL中用聚合函数实现多表查询的一种方法。

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  • When you choose the GROUP BY option or add an aggregate function to a query, all columns marked for output or used for sorting are automatically added to the GROUP BY clause.

    当选择“分组依据”选项或将聚合函数添加到查询中时,所有标记为输出或用于排序的列将自动添加到GROUP by子句中。

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  • If you manually add a query output column to an aggregate function in either the Criteria or SQL pane, the query and View Designer does not automatically remove other output columns from the query.

    如果在“条件”窗格或“SQL”窗格中手动向聚合函数添加查询输出列,则查询和视图设计器不能自动从查询中移除其他输出列。

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  • Therefore, you must remove the remaining columns from the query output or make them part of the GROUP BY clause or of an aggregate function.

    因此,必须从查询输出中移除剩余的列,或使它们成为GROUPBY子句或聚合函数的一部分。

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  • Therefore, you must remove the remaining columns from the query output or make them part of the GROUP BY clause or of an aggregate function.

    因此,必须从查询输出中移除剩余的列,或使它们成为GROUPBY子句或聚合函数的一部分。

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