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FastBit: interactively searching massive data

Journal of Physics Conference SeriesPublished 1 July 2009Open access
Kesheng Wu, Sean Ahern, E. Wes Bethel, Jiabei Chen, Hank Childs, E. Cormier‐Michel
Citations144
SJR score0.19
SNIP0.31
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TL;DR

A summary of the key underlying technologies, namely bitmap compression, encoding, and binning, that enable FastBit to answer structured (SQL) queries orders of magnitude faster than popular database systems are presented.

Abstract

As scientific instruments and computer simulations produce more and more data, the task of locating the essential information to gain insight becomes increasingly difficult. FastBit is an efficient software tool to address this challenge. In this article, we present a summary of the key underlying technologies, namely bitmap compression, encoding, and binning. Together these techniques enable FastBit to answer structured (SQL) queries orders of magnitude faster than popular database systems. To illustrate how FastBit is used in applications, we present three examples involving a high-energy physics experiment, a combustion simulation, and an accelerator simulation. In each case, FastBit significantly reduces the response time and enables interactive exploration on terabytes of data.

Keywords

Computer ScienceDecision Sciences