Technical Perspective: Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs

Dan Suciu
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引用次数: 1

Abstract

Query engines are really good at choosing an efficient query plan. Users don't need to worry about how they write their query, since the optimizer makes all the right choices for executing the query, while taking into account all aspects of data, such as its size, the characteristics of the storage device, the distribution pattern, the availability of indexes, and so on. The query optimizer always makes the best choice, no matter how complex the query is, or how contrived it was written. Or, this is what we expect today from a modern query optimizer. Unfortunately, reality is not as nice.
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技术角度:通过基数估计图的镜头精确的基于摘要的基数估计
查询引擎非常擅长选择高效的查询计划。用户不需要担心如何编写查询,因为优化器为执行查询做出了所有正确的选择,同时考虑了数据的所有方面,例如数据的大小、存储设备的特征、分布模式、索引的可用性等等。查询优化器总是做出最佳选择,不管查询有多复杂,或者编写得有多不自然。或者,这就是我们今天对现代查询优化器的期望。不幸的是,现实并不那么美好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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