There are definitely performance impacts when exceeding this limit and there are ways to overcome this limit by using indexed columns and views.
当超过这个限度后，确实存在性能影响。有一些方法可以克服这个限度，就是使用索引列和视图。
An MQT can be indexed to provide an even greater boost to query performance.
可以在MQT上定义索引，这会进一步提高查询性能。
It can improve performance if columns involved in ORDER BY and GROUP BY are indexed.
如果为ORDER BY和GROUPBY所涉及的列建立了索引，那么可以提高性能。
For the best performance using XQuery on these types of documents, load them into some sort of indexed XML repository.
在对这些类型的文档上使用XQuery时，为达到最佳性能，可以将这些文档装入一些已建立索引的XML资源库中。
For increased search performance, the first column is indexed.
为了提高搜索性能，第一个列将被索引。
Mongo collections, much like relational database tables, need to be properly indexed to ensure reasonable query performance.
Mongo集合(非常像关系数据库表)需要正确进行索引以便确保合理的查询性能。
Overall - it's definitely a good thing. In practice, you may see a much stronger bias towards indexed access paths which may impact performance.
总之——这肯定是一个好事。事实上，你可以发现对索引访问路径更强的偏好，这将影响性能。
Overall - its definitely a good thing. In practice, you may see a much stronger bias towards indexed access paths which may impact performance.
总之——这肯定是一个好事。事实上，你可以发现对索引访问路径更强的偏好，这将影响性能。
Overall - it's definitely a good thing. In practice, you may see a much stronger bias towards indexed access paths which may impact performance.
总之——这确定是一个好事。事实上，你能够觉察对索引拜会路径更强的溺爱，这将波及功能。
Overall - it's definitely a good thing. In practice, you may see a much stronger bias towards indexed access paths which may impact performance.
总之——这确定是一个好事。事实上，你能够觉察对索引拜会路径更强的溺爱，这将波及功能。
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