All these details are already inside the database in a form the query engine can use.

所有这些细节都以查询引擎能够使用的方式保存在数据库内部。

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Another side effect to this scenario is that any form of materialization (pre-calculated aggregates) in the database may be ignored since no fact is included in the query.

此场景的另一个副作用是数据库中的任何形式的实体化(预计算聚合)可能会被忽略，因为查询中不包含任何事实。

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DPF can maintain consistent query performance as the table grows by providing the capability to add more processing power in the form of additional database partitions.

DPF可以通过增加数据库分区来提高处理能力，因此，随着表的增长，仍然可以保持较高的查询性能。

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