Dremel
Sergey Melnik(Google (United States)), Andrey Gubarev(Google (United States)), Jing Jing Long(Google (United States)), Geoffrey Romer(Google (United States)), Shiva Shivakumar(Google (United States)), Matt Tolton(Google (United States)), Theo Vassilakis(Google (United States))
Cited by 708
Abstract
Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system scales to thousands of CPUs and petabytes of data, and has thousands of users at Google. In this paper, we describe the architecture and implementation of Dremel, and explain how it complements MapReduce-based computing. We present a novel columnar storage representation for nested records and discuss experiments on few-thousand node instances of the system.
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