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Summary: Weaving Relations for Cache Performance
Anastassia Ailamaki
David J. DeWitt Mark D. Hill Marios Skounakis
Carnegie Mellon University Univ. of Wisconsin-Madison Univ. of Wisconsin-Madison Univ. of Wisconsin-Madison
natassa@cs.cmu.edu dewitt@cs.wisc.edu markhill@cs.wisc.edu marios@cs.wisc.edu
Abstract
Relational database systems have traditionally optimzed for
I/O performance and organized records sequentially on disk
pages using the N-ary Storage Model (NSM) (a.k.a., slotted
pages). Recent research, however, indicates that cache utilization
and performance is becoming increasingly important on modern
platforms. In this paper, we first demonstrate that in-page data
placement is the key to high cache performance and that NSM
exhibits low cache utilization on modern platforms. Next, we pro-
pose a new data organization model called PAX (Partition
Attributes Across), that significantly improves cache perfor-
mance by grouping together all values of each attribute within
each page. Because PAX only affects layout inside the pages, it
incurs no storage penalty and does not affect I/O behavior.
According to our experimental results, when compared to NSM
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