FB-tree:基于闪存的ssd的B+树

Martin V. Jørgensen, René Bech Rasmussen, Simonas Šaltenis, Carsten Schjønning
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引用次数: 21

摘要

由于其许多优点,基于闪存的ssd(固态硬盘)已成为数据库服务器的主流替代磁盘。然而,为磁盘设计和优化的数据库系统仍然没有充分利用新技术的所有好处。我们提出了fb树:一个改编的B+树、一个存储管理器和一个缓冲区管理器的组合,所有这些都针对现代ssd进行了优化。这些技术结合在一起,可以在相对较大的块中写入ssd,从而实现更高的总体吞吐量。这是通过异地写入实现的,即每次写入修改的索引节点时,都会将其写入一个新地址,并与其他一些写入在一起的节点聚集在一起。虽然这会不断释放索引节点,但fb树不会引入任何垃圾收集开销,而是依赖于自然产生的足够大的自由空间段。因此,在所有测试场景中,fb树的性能都优于常规B+树。例如,更新率为75%的随机工作负载的吞吐量仅使用B+树的两倍空间就增加了三倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FB-tree: a B+-tree for flash-based SSDs
Due to their many advantages, flash-based SSDs (Solid-State Drives) have become a mainstream alternative to magnetic disks for database servers. Nevertheless, database systems, designed and optimized for magnetic disks, still do not fully exploit all the benefits of the new technology. We propose the FB-tree: a combination of an adapted B+-tree, a storage manager, and a buffer manager, all optimized for modern SSDs. Together the techniques enable writing to SSDs in relatively large blocks, thus achieving greater overall throughput. This is achieved by the out-of-place writing, whereby every time a modified index node is written, it is written to a new address, clustered with some other nodes that are written together. While this constantly frees index nodes, the FB-tree does not introduce any garbage-collection overhead, instead relying on naturally occurring free-space segments of sufficient size. As a consequence, the FB-tree outperforms a regular B+-tree in all scenarios tested. For instance, the throughput of a random workload of 75% updates increases by a factor of three using only two times the space of the B+-tree.
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