Use of graph-theoretic models for optimal relational database accesses to perform join
ACM Transactions on Database Systems (TODS)
ACM Transactions on Database Systems (TODS)
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Effective resource utilization for multiprocessor join execution
VLDB '89 Proceedings of the 15th international conference on Very large data bases
Proceedings of the sixteenth international conference on Very large databases
An adaptive data placement scheme for parallel database computer systems
Proceedings of the sixteenth international conference on Very large databases
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The Grid File: An Adaptable, Symmetric Multikey File Structure
ACM Transactions on Database Systems (TODS)
Parallel algorithms for the execution of relational database operations
ACM Transactions on Database Systems (TODS)
Implementation techniques for main memory database systems
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Prototyping Bubba, A Highly Parallel Database System
IEEE Transactions on Knowledge and Data Engineering
The Gamma Database Machine Project
IEEE Transactions on Knowledge and Data Engineering
Scheduling of Page Fetches in Join Operations Using Bc-Trees
Proceedings of the Fourth International Conference on Data Engineering
Join Strategies on KB-Tree Indexed Relations
Proceedings of the Fifth International Conference on Data Engineering
Limiting Factors of Join Performance on Parallel Processors
Proceedings of the Fifth International Conference on Data Engineering
Processor Scheduling for Multiprocessor Joins
Proceedings of the Fifth International Conference on Data Engineering
Chained Declustering: A New Availability Strategy for Multiprocessor Database Machines
Proceedings of the Sixth International Conference on Data Engineering
Proceedings of the Seventh International Conference on Data Engineering
An Effective Algorithm for Parallelizing Hash Joins in the Presence of Data Skew
Proceedings of the Seventh International Conference on Data Engineering
GAMMA - A High Performance Dataflow Database Machine
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Query Optimization in Multidatabase Systems Considering Schema Conflicts
IEEE Transactions on Knowledge and Data Engineering
Optimizing Large Join Queries Using A Graph-Based Approach
IEEE Transactions on Knowledge and Data Engineering
A graph-theoretic model for optimizing queries involving methods
The VLDB Journal — The International Journal on Very Large Data Bases
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This paper presents a methodology to the optimization in parallel join execution. The past researches on parallel join methods mostly focused on the design of algorithms for partitioning (e.g., hash) relations and distributing data buckets as evenly as possible to the processors. Once data are distributed to the processors, they assume that all processors will complete their tasks at about the same time. We stress that this is true if no further information such as page-level join index (to be discussed later) is available. Otherwise, the join execution can be further optimized and the workload in the processors may still be unbalanced. We study such problems that may incur in a shared-nothing architecture environment and propose algorithms to the problems in the paper. Also, a simulation study is performed to understand the characteristics of the proposed method.