Wander Join: Online Aggregation for Joins

Feifei Li, Bin Wu, K. Yi, Zhuoyue Zhao
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引用次数: 9

Abstract

Joins are expensive, and online aggregation over joins was proposed to mitigate the cost, which offers a nice and flexible tradeoff between query efficiency and accuracy in a continuous, online fashion. However, the state-of-the-art approach, in both internal and external memory, is based on ripple join, which is still very expensive and may also need very restrictive assumptions (e.g., tuples in a table are stored in random order). We introduce a new approach, wander join, to the online aggregation problem by performing random walks over the underlying join graph. We have also implemented and tested wander join in the latest PostgreSQL.
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Wander Join:连接的在线聚合
连接是昂贵的,在线聚合取代连接是为了降低成本而提出的,它以连续的在线方式在查询效率和准确性之间提供了一个很好的灵活的权衡。然而,在内部和外部内存中,最先进的方法是基于波纹连接,这仍然非常昂贵,并且可能还需要非常严格的假设(例如,表中的元组以随机顺序存储)。我们引入了一种新的方法,漫游连接,通过在底层连接图上执行随机漫步来解决在线聚合问题。我们还在最新的PostgreSQL中实现并测试了wander join。
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