Volcano— An Extensible and Parallel Query Evaluation System
IEEE Transactions on Knowledge and Data Engineering
DB2 Advisor: An Optimizer Smart Enough to Recommend its own Indexes
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
AutoPart: Automating Schema Design for Large Scientific Databases Using Data Partitioning
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
C-store: a column-oriented DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Super-Scalar RAM-CPU Cache Compression
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Integrating compression and execution in column-oriented database systems
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
COLT: continuous on-line tuning
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
MonetDB/SQL Meets SkyServer: the Challenges of a Scientific Database
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
QUIET: continuous query-driven index tuning
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
DB2 design advisor: integrated automatic physical database design
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
An overview of a scalable distributed database system SD-SQL server
BNCOD'06 Proceedings of the 23rd British National Conference on Databases, conference on Flexible and Efficient Information Handling
An architecture for recycling intermediates in a column-store
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Self-selecting, self-tuning, incrementally optimized indexes
Proceedings of the 13th International Conference on Extending Database Technology
Probabilistic ranking over relations
Proceedings of the 13th International Conference on Extending Database Technology
An architecture for recycling intermediates in a column-store
ACM Transactions on Database Systems (TODS)
Clydesdale: structured data processing on MapReduce
Proceedings of the 15th International Conference on Extending Database Technology
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Column-store database systems open new vistas for improved maintenance through self-organization. Individual columns are the focal point, which simplify balancing conflicting requirements. This work presents two workload-driven self-organizing techniques in a column-store, i.e. adaptive segmentation and adaptive replication. Adaptive segmentation splits a column into non-overlapping segments based on the actual query load. Likewise, adaptive replication creates segment replicas. The strategies can support different application requirements by trading off the reorganization overhead for storage cost. Both techniques can significantly improve system performance as demonstrated in an evaluation of different scenarios.