混合范围一致哈希分区策略——一种新的NoSQL数据库数据分区策略

Zhikun Chen, Shuqiang Yang, Shuang Tan, Ge Zhang, Huiyu Yang
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引用次数: 13

摘要

随着互联网技术和云计算的发展,越来越多的应用不得不面对大数据的挑战。NoSQL数据库具有高可扩展性、高可用性、高容错性等特点,适合大数据管理。数据分区策略在NoSQL数据库中起着非常重要的作用。现有的数据分区策略存在可扩展性低、热点、性能低等问题。本文提出了一种新的数据分区策略——hrch,它可以对数据进行合理的分区。最后通过实验验证了该算法的有效性。结果表明,HRCH可以提高系统的可扩展性,尽可能地避免热点问题。同时还可以提高处理的并行度,从而提高系统在某些处理中的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Range Consistent Hash Partitioning Strategy -- A New Data Partition Strategy for NoSQL Database
With the development of Internet technology and Cloud Computing, more and more applications have to be confronted with the challenges of big data. NoSQL Database is fit to the management of big data because of the characteristics of high scalability, high availability, and high fault-tolerance. The data partitioning strategy plays an important role in the NoSQL database. The existing data partitioning strategies will cause some problems such as low scalability, hot spot, and low performance and so on. In this paper we proposed a new data partitioning strategy-HRCH, which can partitioning the data in a reasonable way. At last we use some experiments to verify the effectiveness of HRCH. It shows that HRCH can improve the system's scalability, avoid the hot spot problem as far as possible. At the same time it also can improve the parallel degree of processing, which can improve the system's performance in some processing.
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