(Enter summary)
Abstract: In this paper, we show how compression can be integrated
into a relational database system. Specifically, we
describe how the storage manager, the query execution
engine, and the query optimizer of a database system can
be extended to deal with compressed data. Our main result
is that compression can significantly improve the response
time of queries if very light-weight compression
techniques are used. We will present such light-weight
compression techniques and give the results of running
the ... (Update)
Context of citations to this paper: More
...borrow. Similarly, papers on general database compression focus on reducing disk space and I O requirements of disk based databases [GRS98, WKHM00], not on memory requirements While search engines such as Google [Google] must use compression techniques to store the Web graph,...
...In general, a command name starts whith a group name followed by the command. Then an optional result mode (borrowed from AVM, see [42]) and a type follow. Last in the command name is a speci fication of the register sets for the arguments and the result. Altogether there...
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BibTeX entry: (Update)
T. Westmann, D. Kossmann, S. Helmer, and G. Moerkotte. The implementation and performance of compressed databases. Technical Report 3/98, Universitat Mannheim, 1998. http://pi3.informatik.uni-mannheim.de. http://citeseer.ist.psu.edu/westmann98implementation.html More
@article{ westmann00implementation,
author = "Till Westmann and Donald Kossmann and Sven Helmer and Guido Moerkotte",
title = "The Implementation and Performance of Compressed Databases",
journal = "SIGMOD Record",
volume = "29",
number = "3",
pages = "55-67",
year = "2000",
url = "citeseer.ist.psu.edu/westmann98implementation.html" }
Citations (may not include all citations):
344
Arithmetic coding for data compression (context) - Witten, Neal et al. - 1987
338
A method for the construction of minimum-redundancy codes (context) - Huffman - 1952
330
Query evaluation techniques for large databases (context) - Graefe - 1993
228
A technique for high performance data compression (context) - Welch - 1984
68
Including group-by in query optimization
- Chaudhuri, Shim
56
Multi-table joins through bitmapped join indices (context) - Graefe, O'Neil - 1995
46
Transaction Processing Performance Council (context) - Performance, TPC et al. - 1995
44
Performing group-by before join
- Yan, Larson - 1994
41
Reducing the braking distance of an SQL query engine
- Carey, Kossmann - 1998
25
Seeking the truth about ad hoc join costs
- Haas, Carey et al. - 1997
23
Data compression support in databases (context) - Iyer, Wilhite
20
Join algorithm costs revisited
- Harris, Ramamohanarao - 1996
20
Compressing relations and indexes
- Goldstein, Ramakrishnan et al. - 1998
19
Data compression in a database system (context) - Cormack - 1985
19
Parameterised compression for sparse bitmaps
- Moffat, Zobel - 1992
16
on Very Large Data Bases (context) - the - 1994
13
Data compression and database performance
- Graefe, Shapiro - 1991
11
ACM SIGMOD Record (context) - Roth, Van Horn - 1993
10
Relational database compression using augmented vector quant.. (context) - Ng, Ravishankar - 1995
9
A practitioner's guide to data base compression (context) - Severance - 1983
9
Database compression: A performance enhancement tool
- Ray, Haritsa et al. - 1995
9
the translation of relational queries into iterative program.. (context) - Freytag, Goodman - 1989
7
A database search problem (context) - Palermo - 1974
6
Morgan-Kaufmann Publishers (context) - Gray, Reuter et al. - 1993
5
Order preserving compression (context) - Antoshenkov, Lomet et al. - 1996
5
Indexing design considerations (context) - Wagner - 1973
4
An encoding method for multifield sorting and indexing (context) - Blasgen, Casey et al. - 1976
4
Full-time data compression: An ADT for database performance (context) - Shapiro, Ni et al. - 1993
3
The compilation of a high level data language (context) - Lorie, Wade - 1979
3
Technical Report ADADIB (context) - AG, Uberblick et al. - 1994
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