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Author Melnik, Sergey ♦ Long, Jing Jing ♦ Vassilakis, Theo ♦ Shivakumar, Shiva ♦ Romer, Geoffrey ♦ Tolton, Matt ♦ Gubarev, Andrey
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Dremel is a scalable, interactive ad hoc query system for analysis of read-only nested data. By combining multilevel 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.
Description Affiliation: Google, Inc. (Melnik, Sergey; Gubarev, Andrey; Long, Jing Jing; Romer, Geoffrey; Shivakumar, Shiva; Tolton, Matt; Vassilakis, Theo)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 54
Issue Number 6
Page Count 10
Starting Page 114
Ending Page 123


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Source: ACM Digital Library