教老大象新把戏
Teaching an Old Elephant New Tricks
摘要：
近年来，列存储（或简称C-store）已成为一种新的方法来处理读取为主的数据仓库应用程序。实验证据表明，对于某些类型的查询，C-store的新功能导致了传统关系引擎的数量级改进。与此同时，一些C-store的支持者认为，C-store与传统引擎有着根本的不同，因此它们的好处不能被整合到关系引擎中，除非完全重写。在本文中，我们挑战这种说法，并表明，许多好处的C-商店确实可以模拟在传统的引擎没有任何变化。然后，我们确定我们的一些局限性？纯模拟？对于更复杂的查询的情况下的方法。最后，我们预测传统的关系引擎最终将利用C存储的大部分好处，就像目前在其他领域（如XML数据）中发生的那样。
英文摘要：
In recent years, column stores (or C-stores for short) have emerged as a novel approach to deal with read-mostly data warehousing applications. Experimental evidence suggests that, for certain types of queries, the new features of C-stores result in orders of magnitude improvement over traditional relational engines. At the same time, some C-store proponents argue that C-stores are fundamentally different from traditional engines, and therefore their benefits cannot be incorporated into a relational engine short of a complete rewrite. In this paper we challenge this claim and show that many of the benefits of C-stores can indeed be simulated in traditional engines with no changes whatsoever. We then identify some limitations of our ?pure-simulation? approach for the case of more complex queries. Finally, we predict that traditional relational engines will eventually leverage most of the benefits of C-stores natively, as is currently happening in other domains such as XML data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
