一个旋转的连接,不会让人头晕

P. Frey, R. Goncalves, M. Kersten, J. Teubner
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引用次数: 36

摘要

随着10gb /s及以上带宽的网络基础设施的普及,以及大型商品机器集群的成本优势不断增加,研究和行业都在努力开发大规模数据库处理任务的可用处理性能。在本文中,我们将研究高速网络对分布式连接处理的使用。我们提出数据迂回作为轻量级传输层,它使用远程直接内存访问(RDMA)来访问现代网络中的吞吐量机会。Data Roundabout的本质是一个环形网络,其中每个主机存储一个大型数据库实例的一部分。我们利用可用带宽通过高速网络(连续)泵送数据。基于Data Roundabout,我们演示了循环连接,它利用数据循环流来执行分布式连接。本研究使用不同的连接算法(散列连接和排序合并连接)来揭示数据循环领域中每种算法的缺陷和优点。实验表明,将大型分布式主存缓存与RDMA结合在一起,可以形成一种新型的分布式数据库体系结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Spinning Join That Does Not Get Dizzy
As network infrastructures with 10 Gb/s bandwidth and beyond have become pervasive and as cost advantages of large commodity-machine clusters continue to increase, research and industry strive to exploit the available processing performance for large-scale database processing tasks. In this work we look at the use of high-speed networks for distributed join processing. We propose Data Roundabout as alight weight transport layer that uses Remote Direct Memory Access (RDMA) to gain access to the throughput opportunities in modern networks. The essence of Data Roundabout is a ring shaped network in which each host stores one portion of a large database instance. We leverage the available bandwidth to (continuously) pump data through the high-speed network. Based on Data Roundabout, we demonstrate cyclo-join, which exploits the cycling flow of data to execute distributed joins. The study uses different join algorithms (hash join and sort-merge join) to expose the pitfalls and the advantages of each algorithm in the data cycling arena. The experiments show the potential of a large distributed main-memory cache glued together with RDMA into a novel distributed database architecture.
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