TY - JOUR
AU - Hugh E. Williams, Justin Zobel
AB - Fast access to files of integers is crucial for the efficient resolution of queries to databases. Integers are the basis of indexes used to resolve queries, for example, in large internet search systems, and numeric data forms a large part of most databases. Disk access costs can be reduced by compression, if the cost of retrieving a compressed representation from disk and the CPU cost of decoding such a representation is less than that of retrieving uncompressed data. In this paper we show experimentally that, for large or small collections, storing integers in a compressed format reduces the time required for either sequential stream access or random access. We compare different approaches to compressing integers, including the Elias gamma and delta codes, Golomb coding, and a variable-byte integer scheme. As a conclusion, we recommend that, for fast access to integers, files be stored compressed. Received 23 November, 1998. Revised 15 April, 1999. Copyright 1999 « Previous | Next Article » Table of Contents This Article The Computer Journal (1999) 42 (3): 193-201. doi: 10.1093/comjnl/42.3.193 » Abstract Free Full Text (PDF) Free Classifications Article Services Article metrics Alert me when cited Alert me if corrected Find similar articles Similar articles in Web of Science Add to my archive Download citation Request Permissions Citing Articles Load citing article information Citing articles via CrossRef Citing articles via Scopus Citing articles via Web of Science Citing articles via Google Scholar Google Scholar Articles by Williams, H. E. Articles by Zobel, J. Search for related content Related Content Load related web page information Share Email this article CiteULike Delicious Facebook Google+ Mendeley Twitter What's this? 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TI - Compressing Integers for Fast File Access
JF - The Computer Journal
DO - 10.1093/comjnl/42.3.193
DA - 1999-01-01
UR - https://www.deepdyve.com/lp/oxford-university-press/compressing-integers-for-fast-file-access-hIFHmurNqi
SP - 193
VL - 42
IS - 3
DP - DeepDyve
ER -