C-Store: A Column-Oriented DBMS. Stonebraker, M., Abadi, D. J., Batkin, A., Chen, X., Cherniack, M., Ferreira, M., Lau, E., Lin, A., Madden, S. R., O'Neil, E. J., O'Neil, P. E., Rasin, A., Tran, N., & Zdonik, S. B. In VLDB, pages 553-564, Trondheim, Norway, 2005. 10 Year Best Paper Award
Paper abstract bibtex This paper presents the design of a read-optimized relational DBMS that contrasts sharply with most current systems, which are write-optimized. Among the many differences in its design are: storage of data by column rather than by row, careful coding and packing of objects into storage including main memory during query processing, storing an overlapping collection of column-oriented projections, rather than the current fare of tables and indexes, a non-traditional implementation of transactions which includes high availability and snapshot isolation for read-only transactions, and the extensive use of bitmap indexes to complement B-tree structures. We present preliminary performance data on a subset of TPC-H and show that the system we are building, C-Store, is substantially faster than popular commercial products. Hence, the architecture looks very encouraging.
@inproceedings{cstore,
author = {Michael Stonebraker and Daniel J. Abadi and Adam Batkin and Xuedong Chen and Mitch Cherniack and Miguel Ferreira and Edmond Lau and Amerson Lin and Samuel R. Madden and Elizabeth J. O'Neil and Patrick E. O'Neil and Alexander Rasin and Nga Tran and Stan B. Zdonik},
title = {C-Store: A Column-Oriented DBMS},
booktitle = {VLDB},
year = {2005},
address = {Trondheim, Norway},
pages = {553-564},
venue = "VLDB",
url_Paper = "http://www.cs.umd.edu/~abadi/papers/vldb.pdf",
abstract = "This paper presents the design of a read-optimized relational DBMS that contrasts sharply with most current systems, which are write-optimized. Among the many differences in its design are: storage of data by column rather than by row, careful coding and packing of objects into storage including main memory during query processing, storing an overlapping collection of column-oriented projections, rather than the current fare of tables and indexes, a non-traditional implementation of transactions which includes high availability and snapshot isolation for read-only transactions, and the extensive use of bitmap indexes to complement B-tree structures. We present preliminary performance data on a subset of TPC-H and show that the system we are building, C-Store, is substantially faster than popular commercial products. Hence, the architecture looks very encouraging.",
pdfKB = "170",
publicationtype = "Conference Paper",
award = "10 Year Best Paper Award",
note = "<u>10 Year Best Paper Award</u>",
displayCategory = "Conference or Journal Publication",
keywords = "Scalable queries,Parallel database systems,Analytical database systems,Column-stores,C-Store",
project:multiple = "C-Store",
}
Downloads: 0
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