Add to ORKGColumn-oriented database system architectures invite a reevaluation of how and when data in databases is compressed. Storing data in a column-oriented fashion greatly increases the similarity of adjacent records on disk and thus opportunities for compression. The ability to compress many adjacent tuples at once lowers the per-tuple cost of compression, both in terms of CPU and space overheads. In this paper, we discuss how we extended C-Store (a column-oriented DBMS) with a compression sub-system. We show how compression schemes not traditionally used in roworiented DBMSs can be applied to column-oriented systems. We then evaluate a set of compression schemes and show that the best scheme depends not only on the properties of the data but a...
Non standard approach to the implementation of relational databases this work implements a database ...
Loss-less data compression is attractive in database systems as it may facilitate query performance ...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
Columnar databases have dominated the data analysis market for their superior performance in query p...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Domain encoding is a common technique to compress the columns of a column store and to accelerate ma...
Data compression is one way to gain better performance from a database. Compression is typically ach...
Column-oriented data are well suited for compression. Since values of the same column are stored con...
Column oriented database have continued to grow over the past few decades. C-Store, Vertica Monet DB...
textabstractColumn-oriented database systems (column-stores) have attracted a lot of attention in th...
Over the last decades, improvements in CPU speed have outpaced improvements in main memory and disk ...
Modern columnar databases heavily use compression to reduce memory footprint and boost query executi...
Modern in-memory databases are typically used for high-performance workloads, therefore they have to...
Column oriented databases store columns contiguously on disk. The adjacency of values from the same ...
It is common to store huge amount of data in relation databases. Despite that storage is cheap, data...
Non standard approach to the implementation of relational databases this work implements a database ...
Loss-less data compression is attractive in database systems as it may facilitate query performance ...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
Columnar databases have dominated the data analysis market for their superior performance in query p...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Domain encoding is a common technique to compress the columns of a column store and to accelerate ma...
Data compression is one way to gain better performance from a database. Compression is typically ach...
Column-oriented data are well suited for compression. Since values of the same column are stored con...
Column oriented database have continued to grow over the past few decades. C-Store, Vertica Monet DB...
textabstractColumn-oriented database systems (column-stores) have attracted a lot of attention in th...
Over the last decades, improvements in CPU speed have outpaced improvements in main memory and disk ...
Modern columnar databases heavily use compression to reduce memory footprint and boost query executi...
Modern in-memory databases are typically used for high-performance workloads, therefore they have to...
Column oriented databases store columns contiguously on disk. The adjacency of values from the same ...
It is common to store huge amount of data in relation databases. Despite that storage is cheap, data...
Non standard approach to the implementation of relational databases this work implements a database ...
Loss-less data compression is attractive in database systems as it may facilitate query performance ...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...