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支持完全集势和连通性。Full cardinality and connectivity support.

这个基数会大大影响连接顺序和连接方法。Cardinality affects join orders and join methods to a large extent.

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数量疑问短语是成分问句疑问短语的一种特殊形式。Cardinality wh-phrases are particular members of the constituent wh-phrases.

通过这种方法，我们就能够为访问操作者收集实际基数。With this method, we can collect real cardinality for access plan operators.

不同的行集数是在列行集上的不同的数值。Distinct cardinality is the number of distinct values in a column of a row set.

该算法基于图的最大基数匹配，将部分查找表进行合并，减小了映射结果的面积开销。The algorithm of merging is based on maximum cardinality matching and can merge some LUTs.

而基数值的低估又会导致优化器选择一个次优的访问计划。Under-estimating the cardinality could lead the optimizer to choose a sub-optimal access plan.

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讨论了有关定理，最后给出了求基数为M的候选关键字的多项式时间算法。Finally, a polynomial-time algorithm to find the candidate key whose cardinality is M is given.

对于访问计划的每个操作符，优化器将估计该操作符的基数输出。At each operator in the access plan, the optimizer estimates the cardinality output from the operator.

因此，省略最大基数不会对已分配的内存量产生任何影响。Therefore, omitting the maximum cardinality does not have any impact on the amount of allocated memory.

终端路迳覆盖问题在于找到一个相对于T的G上最少路迳数的终端路迳覆盖。The terminal path cover problem is to find a terminal path cover of G of minimum cardinality with respect to T.

您可能已经注意到了，查询访问计划本身并未随着基数估计值的增大而改变。You may have noticed that the query access plan itself did not change with the increase in cardinality estimate.

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为了更好的说明如何提高基数估计值，本文中所描述的例子都很简单。The examples described in this article are simple in order to illustrate how to improve the cardinality estimate.

这个问题是寻找无权图的最大团问题的推广。This problem is a generalization of the problem of finding the maximum cardinality clique of an unweighted graph.

例如，基数限制指定某类个体可以参与的关系的数量。For example, cardinality restrictions specify the number of relationships that a class of individuals can participate in.

优化器凭借精确的基数估计值来准确计算出每一个待定查询访问计划的成本。The optimizer depends on accurate cardinality estimates to properly compute the cost of each query access plan considered.

这个示例解释说明了部分统计信息对于优化器估计基数的能力的影响。This example illustrates the effect that partial statistics have on the ability of the optimizer to estimate the cardinality.

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每一个节点上显示的数字都是优化器对基础数据源或操作节点的基数的估计。The number shown in each node is the optimizer's estimate for the cardinality of the underlying data source or operation node.

优化器凭借精确的基数估计值来准确计算出每一个待定查询访问计划的成本。The optimizer is dependent on accurate cardinality estimates to properly compute the cost of each query access plan considered.

在本机上找到一个基数，或者通过迭代器从集合中检索到下一个基数后，尽量使用不超过一个调用。Strive for no more than one call after a single cardinality find on a home, or a next on an iterator retrieved from a collection.