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- W1551138974 abstract "Publisher Summary The development of scalable parallel database systems requires the design of efficient algorithms, especially for join, which is the most frequent and expensive operation in relational database systems. Join is also the most vulnerable operation to data skew and to the high cost of communication in distributed architectures. Moreover, for multi-join queries, the problem of data-skew is more complicated because the imbalance of intermediate results is unknown during static query optimization. This chapter discusses the join algorithms that can be applied efficiently in various parallel execution strategies making it possible to exploit not only intra-operator parallelism, but also inter-operator parallelism. These algorithms minimize the communication and synchronization costs, while guaranteeing a perfect load balancing during each stage of join computation even for highly skewed data. The pipelined version of osfa join is currently implemented within a parallel database prototype, in the framework of the CARAML grid project." @default.
- W1551138974 created "2016-06-24" @default.
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- W1551138974 date "2004-01-01" @default.
- W1551138974 modified "2023-09-23" @default.
- W1551138974 title "Pipelined parallelism for multi-join queries on shared nothing machines" @default.
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- W1551138974 doi "https://doi.org/10.1016/s0927-5452(04)80009-1" @default.
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