Parallel database systems: the future of high performance database systems
Communications of the ACM
Query optimization for parallel execution
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Access path selection in a relational database management system
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
Proceedings of the 17th International Conference on Data Engineering
Coloring Away Communication in Parallel Query Optimization
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Eager Aggregation and Lazy Aggregation
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Automating Statistics Management for Query Optimizers
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Stop-and-restart style execution for long running decision support queries
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Dynamic workload management for very large data warehouses: juggling feathers and bowling balls
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Optimal splitters for database partitioning with size bounds
Proceedings of the 12th International Conference on Database Theory
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
The design of the force.com multitenant internet application development platform
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
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The ability to decompose a complex, long-running query into simpler queries that produce the same result is useful for many scenarios, such as admission control, resource management, fault tolerance, and load balancing. In this paper we propose query slicing as a novel mechanism to do such decomposition. We study different ways to extend a traditional query optimizer to enable query slicing and experimentally evaluate the benefits of each approach.