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SAGE: A logical and physical design tool for entity-group based new SQL systems

机译:SAGE:基于实体组的新SQL系统的逻辑和物理设计工具

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Entity-group based new SQL systems achieve scalability and consistency at the same time by using a key-value store as the storage layer and limiting each transaction's boundary to a collection of data (called an entity-group). Examples of such systems are Google's Megastore, NEC's Partiqle, and LinkedIn's Espresso. Application developers of such systems face tremendous challenges, both in designing entity-groups (and hence transaction boundaries) and physical layout of data in key-value stores. Entity-group designs directly impact consistency semantics of the workload, and physical layout impacts the application throughput. Both problems are challenging for users to solve manually. In this demonstration, we show a system that solves both problems with a user-friendly GUI built on our principled formal methods. We demonstrate the system using a simple Auction benchmark, and a more complex TPC-W benchmark.
机译:基于实体组的新SQL系统通过使用键值存储作为存储层来实现可伸缩性和一致性,并将每个事务的边界限制为数据集合(称为实体组)。这些系统的示例是谷歌的Megastore,NEC的Partiqle和LinkedIn的浓咖啡。这种系统的应用程序开发人员面临着在设计实体组(以及因此交易边界)和键值存储中的数据的物理布局中的巨大挑战。实体组设计直接影响工作负载的一致性语义,物理布局会影响应用程序吞吐量。用户对用户手动解决的问题是挑战性的。在这次演示中,我们展示了一个系统,解决了由我们的原理形式方法构建的用户友好的GUI问题。我们使用简单的拍卖基准展示系统,以及更复杂的TPC-W基准。

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