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Managing the operator ordering problem parallel databases

机译:管理操作员订购问题的并行数据库

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This paper focuses on parallel query optimization. We consider the operator problem and introduce a new class of execution strategies called Linear-oriented Bushy Trees (LBT). Compared to the related approach of the General Bushy Trees (GBT) a significant complexity reduction of the operator ordering problem can be derived theoretically and demonstrated experimentally (e.g. compared with GBTs, LBTs authorize optimization time improvement that can reach up to 49/100) without losing quality. Finally we demonstrate that existing commercial parallel query optimizers need little extension modifications in order to handle LBTs.
机译:本文着重于并行查询优化。我们考虑了运算符问题,并引入了一类新的执行策略,称为线性面向丛生树(LBT)。与一般丛生树(GBT)的相关方法相比,可以从理论上推导并通过实验证明操作员订购问题的显着复杂性降低(例如,与GBT相比,LBT授权最优化时间可以达到49/100),而无需质量下降。最后,我们证明了现有的商业并行查询优化器只需很少的扩展修改即可处理LBT。

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