The Dynamic Balancing Hash Join (DBJ), has been proposed to handle the problem of skewed data in the join operation in multiprocessor database systems. The objective of this new algorithm is to avoid the high cost of preprocessing inherent in existing algorithms. The new algorithm only redistributes a small portion of the partitioned data and, thereby achieves a balanced output with little extra cost. This is achieved dynamically, without knowledge of the input distribution, nor any co-ordinating processor. A performance analysis shows that the new algorithm performs better than existing balancing hash join algorithms for a wide degree of skew
AbstractJoin is the most important and expensive operation in relational databases. The parallel joi...
Skew effects are still a significant problem for efficient query processing in parallel database sys...
Large relational databases are a part of all of our lives. The government uses them and almost any s...
Shared nothing multiprocessor architecture is known to be more scalable to support very large databa...
We investigate various load balancing approaches for hash-based join techniques popular in multicomp...
We present an approach to dealing with skew in parallel joins in database systems. Our approach is e...
We investigate various load balancing approaches for hash-based join techniques popular in multicomp...
In database systems most join algorithms are binary and will only operate on two inputs at a time. ...
A consensus on parallel architecture for database management has emerged. This architecture is based...
In database systems most join algorithms are binary and will only oper-ate on two inputs at a time. ...
A consensus on parallel architecture for very large database management has emerged. This architectu...
A consensus on parallel architecture for database management has emerged. This architecture is based...
Join is the most important and expensive operation in relational databases. The parallel join operat...
A large number of parallel join algorithms has been proposed to maintain load-balancing in the prese...
There has been a wealth of research in the area of parallel join algorithms. Among them, hash-based ...
AbstractJoin is the most important and expensive operation in relational databases. The parallel joi...
Skew effects are still a significant problem for efficient query processing in parallel database sys...
Large relational databases are a part of all of our lives. The government uses them and almost any s...
Shared nothing multiprocessor architecture is known to be more scalable to support very large databa...
We investigate various load balancing approaches for hash-based join techniques popular in multicomp...
We present an approach to dealing with skew in parallel joins in database systems. Our approach is e...
We investigate various load balancing approaches for hash-based join techniques popular in multicomp...
In database systems most join algorithms are binary and will only operate on two inputs at a time. ...
A consensus on parallel architecture for database management has emerged. This architecture is based...
In database systems most join algorithms are binary and will only oper-ate on two inputs at a time. ...
A consensus on parallel architecture for very large database management has emerged. This architectu...
A consensus on parallel architecture for database management has emerged. This architecture is based...
Join is the most important and expensive operation in relational databases. The parallel join operat...
A large number of parallel join algorithms has been proposed to maintain load-balancing in the prese...
There has been a wealth of research in the area of parallel join algorithms. Among them, hash-based ...
AbstractJoin is the most important and expensive operation in relational databases. The parallel joi...
Skew effects are still a significant problem for efficient query processing in parallel database sys...
Large relational databases are a part of all of our lives. The government uses them and almost any s...