mirror of https://github.com/apache/druid.git
update document class for sigmod
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\documentclass{acm_proc_article-sp}
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\documentclass{sig-alternate-2013}
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\usepackage{graphicx}
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\usepackage{balance}
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\usepackage{fontspec}
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@ -7,28 +8,48 @@
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\graphicspath{{figures/}}
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\usepackage{enumitem}
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\hyphenation{metamarkets nelson}
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\hyphenation{metamarkets nelson cheddar}
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\begin{document}
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% ****************** TITLE ****************************************
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\title{Druid: A Real-time Analytical Data Store}
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\title{Druid}
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\subtitle{A Real-time Analytical Data Store}
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% ****************** AUTHORS **************************************
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\numberofauthors{6}
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\author{
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\alignauthor Fangjin Yang, Eric Tschetter, Xavier Léauté, Nelson Ray, Gian Merlino, Deep Ganguli\\
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\email{\{fangjin, cheddar, xavier, nelson, gian, deep\}@metamarkets.com}
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\alignauthor Fangjin Yang\\
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\affaddr{Metamarkets Group, Inc.}\\
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% \affaddr{625 2nd St Suite 230}\\
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% \affaddr{San Francisco, CA 94107}\\
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\email{fangjin@metamarkets.com}
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\alignauthor Eric Tschetter\\
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\email{echeddar@gmail.com}
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\alignauthor Xavier Léauté\\
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\affaddr{Metamarkets Group, Inc.}\\
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\email{xavier@metamarkets.com}
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\and
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\alignauthor Nelson Ray\\
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\email{ncray86@gmail.com}
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\alignauthor Gian Merlino\\
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\affaddr{Metamarkets Group, Inc.}\\
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\email{gian@metamarkets.com}
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\alignauthor Deep Ganguli\\
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\affaddr{Metamarkets Group, Inc.}\\
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\email{deep@metamarkets.com}
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}
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\date{21 March 2013}
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% ****************** AUTHORS **************************************
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\maketitle
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\begin{abstract}
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Druid is an open
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source\footnote{\href{https://github.com/metamx/druid}{https://github.com/metamx/druid}}
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source\footnote{\href{http://druid.io/}{http://druid.io/} \href{https://github.com/metamx/druid}{https://github.com/metamx/druid}}
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data store designed for real-time exploratory analytics on large data sets.
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The system combines a column-oriented storage layout, a distributed,
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shared-nothing architecture, and an advanced indexing structure to allow for
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@ -37,6 +58,12 @@ this paper, we describe Druid's architecture, and detail how it supports fast
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aggregations, flexible filters, and low latency data ingestion.
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\end{abstract}
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% A category with the (minimum) three required fields
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\category{H.2.4}{Database Management}{Systems}[Distributed databases]
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% \category{D.2.8}{Software Engineering}{Metrics}[complexity measures, performance measures]
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\keywords{distributed; real-time; analytics; OLAP; columnar}
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\section{Introduction}
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In recent years, the proliferation of internet technology has
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created a surge in machine-generated events. Individually, these
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