| Document Date: 2010-06-03 14:07:38
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City Indianapolis / / Company Red Hat / IBM / The New York Times / RDBMSs / China Mobile / JP Morgan Chase / Google / Yahoo! / Intel / R. We / Facebook / / Country United States / / Currency USD / / / Facility Jignesh M. Patel Computer Sciences Department University of Wisconsin-Madison / / IndustryTerm log processing job / per-split semi-join algorithm / database systems / equijoin algorithms / software layer / commodity hardware / data analytic applications / log processing / distributed database systems / equi-join algorithms / experimental comparison between our join algorithms / inefficient algorithms / business analytics applications / / OperatingSystem Linux / / Organization US Federal Reserve / Yuanyuan Tian IBM Almaden Research Center / University of Wisconsin / / Person Vuk Ercegovac / Jun Rao / / / Position rt / representative / Systems General / interpreter / / Product Hadoop version 0.19.0 / MapReduce / Hadoop 0.19.0 / / ProvinceOrState Wisconsin / Indiana / / PublishedMedium The New York Times / / Technology equijoin algorithms / full-duplex / data warehouse / load balancing / Linux / 2 Duo processor / RDBMS / equi-join algorithms / operating system / two algorithms / per-split semi-join algorithm / gigabit Ethernet / /
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A Comparison of Join Algorithms for Log Processing in MapReduce Spyros Blanas, Jignesh M. Patel Computer Sciences Department University of Wisconsin-Madison