• XML查询计算执行计划操作符

    XML query evaluation: Execution plans and new operators.

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  • 总计查询计算记录

    A totals query calculates subtotals across groups of records.

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  • 查询计算可用处理器可以使用

    To query for the available processors on the machine, try

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  • 运行时没有机会分析程序的方式构建查询计算

    A runtime library has no opportunity to analyze a program and structure the query evaluations in an optimal manner.

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  • 添加一个称为Fullname查询计算的第三

    A third column containing a query calculation called Full name was also added.

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  • 本文针对数据库查询计算问题一个子类——线性递归查询计算问题进行了讨论。

    The linear recursive query computation problem is a subset of database recursive query computation problem.

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  • 需要特别注意某些xpath函数exist因为它们要求具有特定元素版本才能进行查询计算

    Certain XPath functions, such as exist, need special attention, because they can restrain the query evaluation to a set of versions that have a specific element.

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  • 数据库中xml格式存储数据之后,可以非常高效地查询数据,因为运行时无需执行XML解析来实现查询计算

    Once the data is stored in the database as XML, the data can be queried very efficiently, as the XML is not parsed at runtime for query evaluation.

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  • 满足这个查询必须计算地理城市中心因此需要创建一个函数索引计算这个值。

    To satisfy this query, you must compute the geographical city center, so create a functional index that computes this value.

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  • 这些操作共同构成数据开始一系列计算,最终得到查询结果

    These operations work together to form a series of computations from source data to produce the result of a query.

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  • 将极大地提高性能因为数据库节约了相同查询反复计算执行计划所需所有开销

    This improves performance chiefly because the database saves all the overhead involved with calculating the execution plan for the same query over and over.

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  • EXPLAIN实用程序会报告执行查询预期计算资源成本

    The EXPLAIN utility reports the anticipated computing resource cost of executing the query.

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  • 有了变量任务可以轻松计算了,例如计算查询进行次数

    With variables and assignments, you can also perform easy calculations, such as counting the occurrences of a query.

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  • 优化可以使用数据分布计算查询过滤器选择率

    The optimizer can use data distributions to calculate selectivity for the filters in a query.

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  • 可以根据偏差查询项DEV_DEGREE计算这个标记项。

    Compute this from the deviation degree query item DEV_DEGREE.

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  • 还有一个验证方法就是发出以下查询计算符合条件行的实际

    Another way to validate this is to issue a query as below to count the real value of the qualified rows.

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  • 优化使用UPDATESTATISTICS所生成数据分布信息计算查询筛选器选择性

    The optimizer USES data distribution information generated by UPDATE STATISTICS to calculate selectivity for the filters in the query.

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  • 4展示了一个联邦服务器使用嵌套循环连接操作符计算这个查询计划

    Figure 4 shows a plan using the nested loop join operations at the federated server to evaluate this query.

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  • 可以看到分布统计信息的情况下,DB 2执行查询需要计算行数更少

    You can see that DB2 has to evaluate less rows to execute the query when distribution statistics are available.

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  • 这些保持不变数据源查询对象模型中的其他查询对象、计算器、以及过滤器所引用

    These unmodified data source query subjects can then be referenced by other query subjects, calculations, and filters within the model.

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  • 多个查询公共计算可以使用MQT来表示

    Computations common to multiple queries can be represented using an MQT.

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  • 检查每个远程操作符是否包含理论上给定数据源计算查询中的大部分

    Check to see if each remote operator contains the maximum portion of the query that can theoretically be evaluated by a given data source.

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  • 优化器是依靠统计信息计算可选查询执行计划QEP)的开销,同时选择出计划

    The optimizer relies on statistics to properly cost alternative query execution plans (QEPs) and choose the most optimal plan.

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  • 而粗粒度糅合方法将分析性知识,查询评分计算指标图表叠加运营应用程序图形用户界面上。

    Coarse-grained mashups overlay analytical insights, such as queries, scores, calculations, metrics and graphs, onto the graphical user interface of the operational application.

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  • 函数(2)计算一个SQL查询返回结果集中行数

    Function (2) gets the number of rows in the result set returned from an SQL query.

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  • 另外可以时间节点集合计算查询负载

    Additionally, you can evaluate the query load based on the time, nodes, or collections.

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  • 城市计算销售查询可以写成

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

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  • SHIP1操作相关语句表明标量子查询Oracle计算

    The statement associated with the SHIP1 operator shows the scalar subquery being computed on Oracle.

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  • MQT用于通过预先计算聚合增强查询性能

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

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  • 下面查看ChompQ . pl在哪里查询队列属性计算需要删除消息数量(见清单20)。

    Next, you see where ChompQ.pl has queried the queue attributes and calculated the number of messages to delete (Listing 20).

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