source: liacs/ACA2010/presentation1/presentation-rvdzwet.tex@ 276

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\begin{document}





\title[Architectural optimizations in databases]{Architectural optimizations in databases}


\subtitle{Data Morphing: An Adaptive, Cache-Conscious Storage Technique}


\author[Rick van der Zwet <hvdzwet@liacs.nl>]{Rick van der Zwet }


\institute{LIACS - Leiden University}


\date[ACA2010]{Advanced Compilers and Architectures, 2010}

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\lyxframeend{}\lyxframe{Outline}

\tableofcontents{}




\lyxframeend{}\section{Data Morphing}


\lyxframeend{}\subsection[Basic Problem]{The Basic Problem That We Studied}


\lyxframeend{}\lyxframe{Database Storage Methods.}


\framesubtitle{The Order Matters}
\begin{itemize}
\item Traditional Row Based, Space Oriented Storage
\item Column based, New Trend. Search Oriented Storage.
\item Both has advantages and disadvantages
\end{itemize}

\lyxframeend{}\lyxframe{Row Based Storage.}
\begin{itemize}
\item Focused on keeping data of a related entry close to each other
\item Common implementation N-ary storage model
\item \begin{tabular}{|c|c|c|}
\hline 
1 & 2 & 3\tabularnewline
\hline
\hline 
4 & 5 & 6\tabularnewline
\hline
\end{tabular}
\end{itemize}

\lyxframeend{}\lyxframe{Row Based Storage Engine.}

\includegraphics[width=11cm]{system_arch}


\lyxframeend{}\lyxframe{Column Based Storage}
\begin{itemize}
\item Focused on allowing fast search on attributes
\item PAX storage model used.
\item \begin{tabular}{|c|c|c|}
\hline 
1 & 3 & 5\tabularnewline
\hline
\hline 
2 & 4 & 6\tabularnewline
\hline
\end{tabular}
\end{itemize}

\lyxframeend{}\subsection{The Approach}


\lyxframeend{}\lyxframe{Definitions}
\begin{itemize}
\item \emph{group: }Set of attributes that are writing to consecutive memory
addresses
\item \emph{partition: }Set of groups that uniquely defines the position
of every attribute in a relation
\item \emph{zone: }Area of a page where all instances of a particular group
are written
\item \emph{zone-record: }defines a instance of the attributed in a particular
group
\end{itemize}

\lyxframeend{}\lyxframe{The Algorithm}
\begin{enumerate}
\item Calculating cache-efficient storage template.
\item Re-organizing the data into a cache-efficient organization.

\begin{enumerate}
\item Static evaluation, based on heuristics
\item Dynamic restructuring based a request recognition.
\end{enumerate}
\end{enumerate}

\lyxframeend{}\section{Results}


\lyxframeend{}\subsection{Main Results}


\lyxframeend{}\lyxframe{Conclusions and Future Work }
\begin{itemize}
\item Speed-up made, but only on specific well-defined data-sets.
\item Finding a general optimization algorithm is hard.
\item Experiments did only cover memory based databases.
\end{itemize}

\lyxframeend{}\section*{Summary}


\lyxframeend{}\lyxframe{Summary}
\begin{itemize}
\item Data Morphing is a Promising Method.
\item Combining both Row Based Storage and Column Based Storage could lead
to nice speeds-up.
\item Depending which method to choose how-ever is really hard.
\end{itemize}


\vskip0pt plus.5fill
\begin{itemize}
\item Outlook

\begin{itemize}
\item Make it scale so it also take the variable 'disk access' into count.
\item Build a framework to allow easy and proper testing for various combinations.
\end{itemize}
\end{itemize}

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\appendix

\lyxframeend{}\section*{Appendix}


\lyxframeend{}\subsection*{For Further Reading}


\lyxframeend{}\lyxframe{[allowframebreaks]For Further Reading}

\beamertemplatebookbibitems
\begin{thebibliography}{1}
\bibitem{DM2003}Richard A. Hankins\newblock\emph{Data Morphing:
An Adaptive, Cache-Conscious Storage Technique}\newblock Proceedings
of the 29th VLDB Conference, Berlin, Germany, 2003.\beamertemplatearticlebibitems

\end{thebibliography}

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