In general, the query optimizer selects a plan that will return the entire result set in the shortest amount of time.

通常，查询优化器选择将在最短时间内返回整个结果集的计划。

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However, when dealing with very large data sets, you can further improve the query response times of a native XML database by following a few general common sense guidelines.

但是，在处理超大型数据集时，您还可以通过遵循以下一般原则进一步改善原生xml数据库的查询响应时间。

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To continue with the hypothetical DBMS, you could write a more general procedural query in something like the (Python-like) pseudo-code in Listing 2.

继续基于这个假设的DBMS进行讨论，可以编写更一般的、类似于清单2中(类似python)伪代码的过程化查询。

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